From bcc895d8a1af3f1718aea32f6af71058ccc08798 Mon Sep 17 00:00:00 2001 From: Courtney Holcomb Date: Thu, 21 Nov 2024 14:15:39 -0800 Subject: [PATCH] Update other SQL engine snapshots --- ...set_metric_with_time_constraint__plan0.sql | 1 - ..._with_time_constraint__plan0_optimized.sql | 14 +- ...ed_offsets_with_time_constraint__plan0.sql | 666 ++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 32 +- ...set_metric_with_time_constraint__plan0.sql | 722 +++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 20 +- ...set_metric_with_time_constraint__plan0.sql | 1 - ..._with_time_constraint__plan0_optimized.sql | 16 +- ...ed_offsets_with_time_constraint__plan0.sql | 666 ++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 34 +- ...set_metric_with_time_constraint__plan0.sql | 724 ++++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 22 +- ...set_metric_with_time_constraint__plan0.sql | 1 - ..._with_time_constraint__plan0_optimized.sql | 16 +- ...ed_offsets_with_time_constraint__plan0.sql | 666 ++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 34 +- ...set_metric_with_time_constraint__plan0.sql | 724 ++++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 22 +- ...set_metric_with_time_constraint__plan0.sql | 1 - ..._with_time_constraint__plan0_optimized.sql | 16 +- ...ed_offsets_with_time_constraint__plan0.sql | 666 ++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 34 +- ...set_metric_with_time_constraint__plan0.sql | 724 ++++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 22 +- ...set_metric_with_time_constraint__plan0.sql | 1 - ..._with_time_constraint__plan0_optimized.sql | 16 +- ...ed_offsets_with_time_constraint__plan0.sql | 666 ++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 34 +- ...set_metric_with_time_constraint__plan0.sql | 724 ++++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 22 +- ...set_metric_with_time_constraint__plan0.sql | 1 - ..._with_time_constraint__plan0_optimized.sql | 16 +- ...ed_offsets_with_time_constraint__plan0.sql | 666 ++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 34 +- ...set_metric_with_time_constraint__plan0.sql | 724 ++++++++++-------- ..._with_time_constraint__plan0_optimized.sql | 22 +- 36 files changed, 4664 insertions(+), 4106 deletions(-) diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql index 3e4406e1c..2edaa4ef8 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -228,7 +228,6 @@ FROM ( SELECT subq_6.ds AS metric_time__day FROM ***************************.mf_time_spine subq_6 - WHERE subq_6.ds BETWEEN '2019-12-19' AND '2020-01-02' ) subq_5 INNER JOIN ( -- Join Self Over Time Range diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql index f3a60c71e..fd4d509af 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -13,15 +13,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_17.metric_time__day AS metric_time__day + subq_18.ds AS metric_time__day , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_18 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_17 + FROM ***************************.mf_time_spine subq_18 INNER JOIN ( -- Join Self Over Time Range SELECT @@ -38,8 +32,8 @@ FROM ( ) ) subq_16 ON - DATE_SUB(CAST(subq_17.metric_time__day AS DATETIME), INTERVAL 2 day) = subq_16.metric_time__day - WHERE subq_17.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + DATE_SUB(CAST(subq_18.ds AS DATETIME), INTERVAL 2 day) = subq_16.metric_time__day + WHERE subq_18.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY metric_time__day ) subq_23 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0.sql index f24a17fee..a4a67688f 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0.sql @@ -4,351 +4,357 @@ sql_engine: BigQuery --- -- Compute Metrics via Expressions SELECT - subq_11.metric_time__day + subq_12.metric_time__day , 2 * bookings_offset_once AS bookings_offset_twice FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_9.metric_time__day AS metric_time__day - , subq_8.bookings_offset_once AS bookings_offset_once + subq_11.metric_time__day + , subq_11.bookings_offset_once FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_10.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_10 - WHERE subq_10.ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_9 - INNER JOIN ( - -- Compute Metrics via Expressions - SELECT - subq_7.metric_time__day - , 2 * bookings AS bookings_offset_once + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once FROM ( + -- Time Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once FROM ( - -- Aggregate Measures + -- Compute Metrics via Expressions SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , subq_6.bookings FROM ( - -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- Aggregate Measures SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings FROM ( - -- Join to Time Spine Dataset + -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.bookings FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS ds__day - , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS ds__week - , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS ds__month - , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS ds__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS ds__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS ds_partitioned__day - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS ds_partitioned__week - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS ds_partitioned__month - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS ds_partitioned__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS ds_partitioned__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS paid_at__day - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS paid_at__week - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS paid_at__month - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS paid_at__quarter - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS paid_at__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS booking__ds__day - , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS booking__ds__week - , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS booking__ds__month - , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS booking__ds__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS booking__ds__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS booking__ds_partitioned__day - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS booking__ds_partitioned__week - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS booking__ds_partitioned__month - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS booking__ds_partitioned__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS booking__ds_partitioned__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS booking__paid_at__day - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS booking__paid_at__week - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS booking__paid_at__month - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS booking__paid_at__quarter - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS booking__paid_at__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATE_SUB(CAST(subq_2.metric_time__day AS DATETIME), INTERVAL 5 day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 - GROUP BY - metric_time__day - ) subq_6 - ) subq_7 - ) subq_8 - ON - DATE_SUB(CAST(subq_9.metric_time__day AS DATETIME), INTERVAL 2 day) = subq_8.metric_time__day -) subq_11 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS ds__day + , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS ds__week + , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS ds__month + , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS ds__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS ds__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS ds_partitioned__day + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS ds_partitioned__week + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS ds_partitioned__month + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS ds_partitioned__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS paid_at__day + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS paid_at__week + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS paid_at__month + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS paid_at__quarter + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS paid_at__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS booking__ds__day + , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS booking__ds__week + , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS booking__ds__month + , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS booking__ds__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS booking__ds__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS booking__ds_partitioned__day + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS booking__ds_partitioned__week + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS booking__ds_partitioned__month + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS booking__ds_partitioned__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS booking__ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS booking__paid_at__day + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS booking__paid_at__week + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS booking__paid_at__month + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS booking__paid_at__quarter + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS booking__paid_at__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATE_SUB(CAST(subq_2.metric_time__day AS DATETIME), INTERVAL 5 day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATE_SUB(CAST(subq_9.metric_time__day AS DATETIME), INTERVAL 2 day) = subq_8.metric_time__day + ) subq_11 + WHERE subq_11.metric_time__day BETWEEN '2020-01-12' AND '2020-01-13' +) subq_12 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0_optimized.sql index f5654357b..4183500d0 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -8,16 +8,11 @@ SELECT , 2 * bookings_offset_once AS bookings_offset_twice FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_21.metric_time__day AS metric_time__day - , subq_20.bookings_offset_once AS bookings_offset_once - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_22 - WHERE ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_21 + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 INNER JOIN ( -- Compute Metrics via Expressions SELECT @@ -29,9 +24,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_15.ds AS metric_time__day - , SUM(subq_13.bookings) AS bookings - FROM ***************************.mf_time_spine subq_15 + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -39,13 +34,14 @@ FROM ( DATETIME_TRUNC(ds, day) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_13 + ) subq_14 ON - DATE_SUB(CAST(subq_15.ds AS DATETIME), INTERVAL 5 day) = subq_13.metric_time__day + DATE_SUB(CAST(subq_16.ds AS DATETIME), INTERVAL 5 day) = subq_14.metric_time__day GROUP BY metric_time__day - ) subq_19 - ) subq_20 + ) subq_20 + ) subq_21 ON - DATE_SUB(CAST(subq_21.metric_time__day AS DATETIME), INTERVAL 2 day) = subq_20.metric_time__day -) subq_23 + DATE_SUB(CAST(subq_23.ds AS DATETIME), INTERVAL 2 day) = subq_21.metric_time__day + WHERE subq_23.ds BETWEEN '2020-01-12' AND '2020-01-13' +) subq_25 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0.sql index 514d3903b..da64e251e 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0.sql @@ -4,331 +4,433 @@ sql_engine: BigQuery --- -- Compute Metrics via Expressions SELECT - subq_7.metric_time__day + subq_8.metric_time__day , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings AS bookings_5_days_ago + subq_7.metric_time__day + , subq_7.bookings AS bookings_5_days_ago FROM ( -- Aggregate Measures SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , SUM(subq_6.bookings) AS bookings FROM ( -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , subq_5.bookings FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.paid_at__day + , subq_4.paid_at__week + , subq_4.paid_at__month + , subq_4.paid_at__quarter + , subq_4.paid_at__year + , subq_4.paid_at__extract_year + , subq_4.paid_at__extract_quarter + , subq_4.paid_at__extract_month + , subq_4.paid_at__extract_day + , subq_4.paid_at__extract_dow + , subq_4.paid_at__extract_doy + , subq_4.booking__ds__day + , subq_4.booking__ds__week + , subq_4.booking__ds__month + , subq_4.booking__ds__quarter + , subq_4.booking__ds__year + , subq_4.booking__ds__extract_year + , subq_4.booking__ds__extract_quarter + , subq_4.booking__ds__extract_month + , subq_4.booking__ds__extract_day + , subq_4.booking__ds__extract_dow + , subq_4.booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day + , subq_4.booking__paid_at__week + , subq_4.booking__paid_at__month + , subq_4.booking__paid_at__quarter + , subq_4.booking__paid_at__year + , subq_4.booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy + , subq_4.metric_time__week + , subq_4.metric_time__month + , subq_4.metric_time__quarter + , subq_4.metric_time__year + , subq_4.metric_time__extract_year + , subq_4.metric_time__extract_quarter + , subq_4.metric_time__extract_month + , subq_4.metric_time__extract_day + , subq_4.metric_time__extract_dow + , subq_4.metric_time__extract_doy + , subq_4.listing + , subq_4.guest + , subq_4.host + , subq_4.booking__listing + , subq_4.booking__guest + , subq_4.booking__host + , subq_4.is_instant + , subq_4.booking__is_instant + , subq_4.bookings + , subq_4.instant_bookings + , subq_4.booking_value + , subq_4.max_booking_value + , subq_4.min_booking_value + , subq_4.bookers + , subq_4.average_booking_value + , subq_4.referred_bookings + , subq_4.median_booking_value + , subq_4.booking_value_p99 + , subq_4.discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - WHERE subq_3.ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS ds__day - , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS ds__week - , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS ds__month - , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS ds__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS ds__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS ds_partitioned__day - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS ds_partitioned__week - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS ds_partitioned__month - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS ds_partitioned__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS ds_partitioned__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS paid_at__day - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS paid_at__week - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS paid_at__month - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS paid_at__quarter - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS paid_at__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS booking__ds__day - , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS booking__ds__week - , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS booking__ds__month - , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS booking__ds__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS booking__ds__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS booking__ds_partitioned__day - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS booking__ds_partitioned__week - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS booking__ds_partitioned__month - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS booking__ds_partitioned__quarter - , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS booking__ds_partitioned__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS booking__paid_at__day - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS booking__paid_at__week - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS booking__paid_at__month - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS booking__paid_at__quarter - , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS booking__paid_at__extract_dow - , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATE_SUB(CAST(subq_2.metric_time__day AS DATETIME), INTERVAL 5 day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS ds__day + , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS ds__week + , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS ds__month + , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS ds__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS ds__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS ds_partitioned__day + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS ds_partitioned__week + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS ds_partitioned__month + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS ds_partitioned__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS paid_at__day + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS paid_at__week + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS paid_at__month + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS paid_at__quarter + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS paid_at__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS booking__ds__day + , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS booking__ds__week + , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS booking__ds__month + , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS booking__ds__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS booking__ds__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS booking__ds_partitioned__day + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS booking__ds_partitioned__week + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS booking__ds_partitioned__month + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS booking__ds_partitioned__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS booking__ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS booking__paid_at__day + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS booking__paid_at__week + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS booking__paid_at__month + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS booking__paid_at__quarter + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS booking__paid_at__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATE_SUB(CAST(subq_2.metric_time__day AS DATETIME), INTERVAL 5 day) = subq_1.metric_time__day + ) subq_4 + WHERE subq_4.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + ) subq_5 + ) subq_6 GROUP BY metric_time__day - ) subq_6 -) subq_7 + ) subq_7 +) subq_8 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0_optimized.sql index af157170a..3bc29dc98 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/BigQuery/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -8,19 +8,14 @@ SELECT , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] -- Pass Only Elements: ['bookings', 'metric_time__day'] -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_10.metric_time__day AS metric_time__day - , SUM(subq_9.bookings) AS bookings_5_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_11 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_10 + subq_12.ds AS metric_time__day + , SUM(subq_10.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_12 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -28,9 +23,10 @@ FROM ( DATETIME_TRUNC(ds, day) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_9 + ) subq_10 ON - DATE_SUB(CAST(subq_10.metric_time__day AS DATETIME), INTERVAL 5 day) = subq_9.metric_time__day + DATE_SUB(CAST(subq_12.ds AS DATETIME), INTERVAL 5 day) = subq_10.metric_time__day + WHERE subq_12.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY metric_time__day -) subq_15 +) subq_17 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql index 82da009ac..d324aa014 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -228,7 +228,6 @@ FROM ( SELECT subq_6.ds AS metric_time__day FROM ***************************.mf_time_spine subq_6 - WHERE subq_6.ds BETWEEN '2019-12-19' AND '2020-01-02' ) subq_5 INNER JOIN ( -- Join Self Over Time Range diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql index 70087237b..8324d90b8 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -13,15 +13,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_17.metric_time__day AS metric_time__day + subq_18.ds AS metric_time__day , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_18 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_17 + FROM ***************************.mf_time_spine subq_18 INNER JOIN ( -- Join Self Over Time Range SELECT @@ -38,8 +32,8 @@ FROM ( ) ) subq_16 ON - DATEADD(day, -2, subq_17.metric_time__day) = subq_16.metric_time__day - WHERE subq_17.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + DATEADD(day, -2, subq_18.ds) = subq_16.metric_time__day + WHERE subq_18.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_17.metric_time__day + subq_18.ds ) subq_23 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0.sql index 65c996a51..91aac9fd3 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0.sql @@ -4,351 +4,357 @@ sql_engine: Databricks --- -- Compute Metrics via Expressions SELECT - subq_11.metric_time__day + subq_12.metric_time__day , 2 * bookings_offset_once AS bookings_offset_twice FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_9.metric_time__day AS metric_time__day - , subq_8.bookings_offset_once AS bookings_offset_once + subq_11.metric_time__day + , subq_11.bookings_offset_once FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_10.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_10 - WHERE subq_10.ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_9 - INNER JOIN ( - -- Compute Metrics via Expressions - SELECT - subq_7.metric_time__day - , 2 * bookings AS bookings_offset_once + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once FROM ( + -- Time Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once FROM ( - -- Aggregate Measures + -- Compute Metrics via Expressions SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , subq_6.bookings FROM ( - -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- Aggregate Measures SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings FROM ( - -- Join to Time Spine Dataset + -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.bookings FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 - GROUP BY - subq_5.metric_time__day - ) subq_6 - ) subq_7 - ) subq_8 - ON - DATEADD(day, -2, subq_9.metric_time__day) = subq_8.metric_time__day -) subq_11 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATEADD(day, -2, subq_9.metric_time__day) = subq_8.metric_time__day + ) subq_11 + WHERE subq_11.metric_time__day BETWEEN '2020-01-12' AND '2020-01-13' +) subq_12 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0_optimized.sql index 49e0d1fdd..8b3aac867 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -8,16 +8,11 @@ SELECT , 2 * bookings_offset_once AS bookings_offset_twice FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_21.metric_time__day AS metric_time__day - , subq_20.bookings_offset_once AS bookings_offset_once - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_22 - WHERE ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_21 + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 INNER JOIN ( -- Compute Metrics via Expressions SELECT @@ -29,9 +24,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_15.ds AS metric_time__day - , SUM(subq_13.bookings) AS bookings - FROM ***************************.mf_time_spine subq_15 + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -39,13 +34,14 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_13 + ) subq_14 ON - DATEADD(day, -5, subq_15.ds) = subq_13.metric_time__day + DATEADD(day, -5, subq_16.ds) = subq_14.metric_time__day GROUP BY - subq_15.ds - ) subq_19 - ) subq_20 + subq_16.ds + ) subq_20 + ) subq_21 ON - DATEADD(day, -2, subq_21.metric_time__day) = subq_20.metric_time__day -) subq_23 + DATEADD(day, -2, subq_23.ds) = subq_21.metric_time__day + WHERE subq_23.ds BETWEEN '2020-01-12' AND '2020-01-13' +) subq_25 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0.sql index 4e3006f03..ffdcd107c 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0.sql @@ -4,331 +4,433 @@ sql_engine: Databricks --- -- Compute Metrics via Expressions SELECT - subq_7.metric_time__day + subq_8.metric_time__day , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings AS bookings_5_days_ago + subq_7.metric_time__day + , subq_7.bookings AS bookings_5_days_ago FROM ( -- Aggregate Measures SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , SUM(subq_6.bookings) AS bookings FROM ( -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , subq_5.bookings FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.paid_at__day + , subq_4.paid_at__week + , subq_4.paid_at__month + , subq_4.paid_at__quarter + , subq_4.paid_at__year + , subq_4.paid_at__extract_year + , subq_4.paid_at__extract_quarter + , subq_4.paid_at__extract_month + , subq_4.paid_at__extract_day + , subq_4.paid_at__extract_dow + , subq_4.paid_at__extract_doy + , subq_4.booking__ds__day + , subq_4.booking__ds__week + , subq_4.booking__ds__month + , subq_4.booking__ds__quarter + , subq_4.booking__ds__year + , subq_4.booking__ds__extract_year + , subq_4.booking__ds__extract_quarter + , subq_4.booking__ds__extract_month + , subq_4.booking__ds__extract_day + , subq_4.booking__ds__extract_dow + , subq_4.booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day + , subq_4.booking__paid_at__week + , subq_4.booking__paid_at__month + , subq_4.booking__paid_at__quarter + , subq_4.booking__paid_at__year + , subq_4.booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy + , subq_4.metric_time__week + , subq_4.metric_time__month + , subq_4.metric_time__quarter + , subq_4.metric_time__year + , subq_4.metric_time__extract_year + , subq_4.metric_time__extract_quarter + , subq_4.metric_time__extract_month + , subq_4.metric_time__extract_day + , subq_4.metric_time__extract_dow + , subq_4.metric_time__extract_doy + , subq_4.listing + , subq_4.guest + , subq_4.host + , subq_4.booking__listing + , subq_4.booking__guest + , subq_4.booking__host + , subq_4.is_instant + , subq_4.booking__is_instant + , subq_4.bookings + , subq_4.instant_bookings + , subq_4.booking_value + , subq_4.max_booking_value + , subq_4.min_booking_value + , subq_4.bookers + , subq_4.average_booking_value + , subq_4.referred_bookings + , subq_4.median_booking_value + , subq_4.booking_value_p99 + , subq_4.discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - WHERE subq_3.ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + WHERE subq_4.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + ) subq_5 + ) subq_6 GROUP BY - subq_5.metric_time__day - ) subq_6 -) subq_7 + subq_6.metric_time__day + ) subq_7 +) subq_8 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0_optimized.sql index 670d1cb05..92a8d0976 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Databricks/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -8,19 +8,14 @@ SELECT , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] -- Pass Only Elements: ['bookings', 'metric_time__day'] -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_10.metric_time__day AS metric_time__day - , SUM(subq_9.bookings) AS bookings_5_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_11 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_10 + subq_12.ds AS metric_time__day + , SUM(subq_10.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_12 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -28,9 +23,10 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_9 + ) subq_10 ON - DATEADD(day, -5, subq_10.metric_time__day) = subq_9.metric_time__day + DATEADD(day, -5, subq_12.ds) = subq_10.metric_time__day + WHERE subq_12.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_10.metric_time__day -) subq_15 + subq_12.ds +) subq_17 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql index f0d293156..382176fb3 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -228,7 +228,6 @@ FROM ( SELECT subq_6.ds AS metric_time__day FROM ***************************.mf_time_spine subq_6 - WHERE subq_6.ds BETWEEN '2019-12-19' AND '2020-01-02' ) subq_5 INNER JOIN ( -- Join Self Over Time Range diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql index 97593fc28..c035b82dd 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -13,15 +13,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_17.metric_time__day AS metric_time__day + subq_18.ds AS metric_time__day , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_18 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_17 + FROM ***************************.mf_time_spine subq_18 INNER JOIN ( -- Join Self Over Time Range SELECT @@ -38,8 +32,8 @@ FROM ( ) ) subq_16 ON - subq_17.metric_time__day - MAKE_INTERVAL(days => 2) = subq_16.metric_time__day - WHERE subq_17.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + subq_18.ds - MAKE_INTERVAL(days => 2) = subq_16.metric_time__day + WHERE subq_18.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_17.metric_time__day + subq_18.ds ) subq_23 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0.sql index bf90f23c6..f662b3c28 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0.sql @@ -4,351 +4,357 @@ sql_engine: Postgres --- -- Compute Metrics via Expressions SELECT - subq_11.metric_time__day + subq_12.metric_time__day , 2 * bookings_offset_once AS bookings_offset_twice FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_9.metric_time__day AS metric_time__day - , subq_8.bookings_offset_once AS bookings_offset_once + subq_11.metric_time__day + , subq_11.bookings_offset_once FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_10.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_10 - WHERE subq_10.ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_9 - INNER JOIN ( - -- Compute Metrics via Expressions - SELECT - subq_7.metric_time__day - , 2 * bookings AS bookings_offset_once + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once FROM ( + -- Time Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once FROM ( - -- Aggregate Measures + -- Compute Metrics via Expressions SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , subq_6.bookings FROM ( - -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- Aggregate Measures SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings FROM ( - -- Join to Time Spine Dataset + -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.bookings FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - subq_2.metric_time__day - MAKE_INTERVAL(days => 5) = subq_1.metric_time__day - ) subq_4 - ) subq_5 - GROUP BY - subq_5.metric_time__day - ) subq_6 - ) subq_7 - ) subq_8 - ON - subq_9.metric_time__day - MAKE_INTERVAL(days => 2) = subq_8.metric_time__day -) subq_11 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + subq_2.metric_time__day - MAKE_INTERVAL(days => 5) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + subq_9.metric_time__day - MAKE_INTERVAL(days => 2) = subq_8.metric_time__day + ) subq_11 + WHERE subq_11.metric_time__day BETWEEN '2020-01-12' AND '2020-01-13' +) subq_12 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0_optimized.sql index 812192844..ad70412fd 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -8,16 +8,11 @@ SELECT , 2 * bookings_offset_once AS bookings_offset_twice FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_21.metric_time__day AS metric_time__day - , subq_20.bookings_offset_once AS bookings_offset_once - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_22 - WHERE ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_21 + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 INNER JOIN ( -- Compute Metrics via Expressions SELECT @@ -29,9 +24,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_15.ds AS metric_time__day - , SUM(subq_13.bookings) AS bookings - FROM ***************************.mf_time_spine subq_15 + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -39,13 +34,14 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_13 + ) subq_14 ON - subq_15.ds - MAKE_INTERVAL(days => 5) = subq_13.metric_time__day + subq_16.ds - MAKE_INTERVAL(days => 5) = subq_14.metric_time__day GROUP BY - subq_15.ds - ) subq_19 - ) subq_20 + subq_16.ds + ) subq_20 + ) subq_21 ON - subq_21.metric_time__day - MAKE_INTERVAL(days => 2) = subq_20.metric_time__day -) subq_23 + subq_23.ds - MAKE_INTERVAL(days => 2) = subq_21.metric_time__day + WHERE subq_23.ds BETWEEN '2020-01-12' AND '2020-01-13' +) subq_25 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0.sql index 7a40ad53e..9764b0f6a 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0.sql @@ -4,331 +4,433 @@ sql_engine: Postgres --- -- Compute Metrics via Expressions SELECT - subq_7.metric_time__day + subq_8.metric_time__day , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings AS bookings_5_days_ago + subq_7.metric_time__day + , subq_7.bookings AS bookings_5_days_ago FROM ( -- Aggregate Measures SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , SUM(subq_6.bookings) AS bookings FROM ( -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , subq_5.bookings FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.paid_at__day + , subq_4.paid_at__week + , subq_4.paid_at__month + , subq_4.paid_at__quarter + , subq_4.paid_at__year + , subq_4.paid_at__extract_year + , subq_4.paid_at__extract_quarter + , subq_4.paid_at__extract_month + , subq_4.paid_at__extract_day + , subq_4.paid_at__extract_dow + , subq_4.paid_at__extract_doy + , subq_4.booking__ds__day + , subq_4.booking__ds__week + , subq_4.booking__ds__month + , subq_4.booking__ds__quarter + , subq_4.booking__ds__year + , subq_4.booking__ds__extract_year + , subq_4.booking__ds__extract_quarter + , subq_4.booking__ds__extract_month + , subq_4.booking__ds__extract_day + , subq_4.booking__ds__extract_dow + , subq_4.booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day + , subq_4.booking__paid_at__week + , subq_4.booking__paid_at__month + , subq_4.booking__paid_at__quarter + , subq_4.booking__paid_at__year + , subq_4.booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy + , subq_4.metric_time__week + , subq_4.metric_time__month + , subq_4.metric_time__quarter + , subq_4.metric_time__year + , subq_4.metric_time__extract_year + , subq_4.metric_time__extract_quarter + , subq_4.metric_time__extract_month + , subq_4.metric_time__extract_day + , subq_4.metric_time__extract_dow + , subq_4.metric_time__extract_doy + , subq_4.listing + , subq_4.guest + , subq_4.host + , subq_4.booking__listing + , subq_4.booking__guest + , subq_4.booking__host + , subq_4.is_instant + , subq_4.booking__is_instant + , subq_4.bookings + , subq_4.instant_bookings + , subq_4.booking_value + , subq_4.max_booking_value + , subq_4.min_booking_value + , subq_4.bookers + , subq_4.average_booking_value + , subq_4.referred_bookings + , subq_4.median_booking_value + , subq_4.booking_value_p99 + , subq_4.discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - WHERE subq_3.ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - subq_2.metric_time__day - MAKE_INTERVAL(days => 5) = subq_1.metric_time__day - ) subq_4 - ) subq_5 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + subq_2.metric_time__day - MAKE_INTERVAL(days => 5) = subq_1.metric_time__day + ) subq_4 + WHERE subq_4.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + ) subq_5 + ) subq_6 GROUP BY - subq_5.metric_time__day - ) subq_6 -) subq_7 + subq_6.metric_time__day + ) subq_7 +) subq_8 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0_optimized.sql index 904c87a36..773cb85a3 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Postgres/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -8,19 +8,14 @@ SELECT , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] -- Pass Only Elements: ['bookings', 'metric_time__day'] -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_10.metric_time__day AS metric_time__day - , SUM(subq_9.bookings) AS bookings_5_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_11 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_10 + subq_12.ds AS metric_time__day + , SUM(subq_10.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_12 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -28,9 +23,10 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_9 + ) subq_10 ON - subq_10.metric_time__day - MAKE_INTERVAL(days => 5) = subq_9.metric_time__day + subq_12.ds - MAKE_INTERVAL(days => 5) = subq_10.metric_time__day + WHERE subq_12.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_10.metric_time__day -) subq_15 + subq_12.ds +) subq_17 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql index 85ab91322..8e8b49899 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -228,7 +228,6 @@ FROM ( SELECT subq_6.ds AS metric_time__day FROM ***************************.mf_time_spine subq_6 - WHERE subq_6.ds BETWEEN '2019-12-19' AND '2020-01-02' ) subq_5 INNER JOIN ( -- Join Self Over Time Range diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql index ac52eb2c8..54fdaf938 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -13,15 +13,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_17.metric_time__day AS metric_time__day + subq_18.ds AS metric_time__day , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_18 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_17 + FROM ***************************.mf_time_spine subq_18 INNER JOIN ( -- Join Self Over Time Range SELECT @@ -38,8 +32,8 @@ FROM ( ) ) subq_16 ON - DATEADD(day, -2, subq_17.metric_time__day) = subq_16.metric_time__day - WHERE subq_17.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + DATEADD(day, -2, subq_18.ds) = subq_16.metric_time__day + WHERE subq_18.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_17.metric_time__day + subq_18.ds ) subq_23 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0.sql index 05fa5fea7..f707c1570 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0.sql @@ -4,351 +4,357 @@ sql_engine: Redshift --- -- Compute Metrics via Expressions SELECT - subq_11.metric_time__day + subq_12.metric_time__day , 2 * bookings_offset_once AS bookings_offset_twice FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_9.metric_time__day AS metric_time__day - , subq_8.bookings_offset_once AS bookings_offset_once + subq_11.metric_time__day + , subq_11.bookings_offset_once FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_10.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_10 - WHERE subq_10.ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_9 - INNER JOIN ( - -- Compute Metrics via Expressions - SELECT - subq_7.metric_time__day - , 2 * bookings AS bookings_offset_once + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once FROM ( + -- Time Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once FROM ( - -- Aggregate Measures + -- Compute Metrics via Expressions SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , subq_6.bookings FROM ( - -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- Aggregate Measures SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings FROM ( - -- Join to Time Spine Dataset + -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.bookings FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 - GROUP BY - subq_5.metric_time__day - ) subq_6 - ) subq_7 - ) subq_8 - ON - DATEADD(day, -2, subq_9.metric_time__day) = subq_8.metric_time__day -) subq_11 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATEADD(day, -2, subq_9.metric_time__day) = subq_8.metric_time__day + ) subq_11 + WHERE subq_11.metric_time__day BETWEEN '2020-01-12' AND '2020-01-13' +) subq_12 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0_optimized.sql index fef5b7164..a0cd96d15 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -8,16 +8,11 @@ SELECT , 2 * bookings_offset_once AS bookings_offset_twice FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_21.metric_time__day AS metric_time__day - , subq_20.bookings_offset_once AS bookings_offset_once - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_22 - WHERE ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_21 + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 INNER JOIN ( -- Compute Metrics via Expressions SELECT @@ -29,9 +24,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_15.ds AS metric_time__day - , SUM(subq_13.bookings) AS bookings - FROM ***************************.mf_time_spine subq_15 + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -39,13 +34,14 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_13 + ) subq_14 ON - DATEADD(day, -5, subq_15.ds) = subq_13.metric_time__day + DATEADD(day, -5, subq_16.ds) = subq_14.metric_time__day GROUP BY - subq_15.ds - ) subq_19 - ) subq_20 + subq_16.ds + ) subq_20 + ) subq_21 ON - DATEADD(day, -2, subq_21.metric_time__day) = subq_20.metric_time__day -) subq_23 + DATEADD(day, -2, subq_23.ds) = subq_21.metric_time__day + WHERE subq_23.ds BETWEEN '2020-01-12' AND '2020-01-13' +) subq_25 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0.sql index 45302aeb0..6fc6d50e7 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0.sql @@ -4,331 +4,433 @@ sql_engine: Redshift --- -- Compute Metrics via Expressions SELECT - subq_7.metric_time__day + subq_8.metric_time__day , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings AS bookings_5_days_ago + subq_7.metric_time__day + , subq_7.bookings AS bookings_5_days_ago FROM ( -- Aggregate Measures SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , SUM(subq_6.bookings) AS bookings FROM ( -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , subq_5.bookings FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.paid_at__day + , subq_4.paid_at__week + , subq_4.paid_at__month + , subq_4.paid_at__quarter + , subq_4.paid_at__year + , subq_4.paid_at__extract_year + , subq_4.paid_at__extract_quarter + , subq_4.paid_at__extract_month + , subq_4.paid_at__extract_day + , subq_4.paid_at__extract_dow + , subq_4.paid_at__extract_doy + , subq_4.booking__ds__day + , subq_4.booking__ds__week + , subq_4.booking__ds__month + , subq_4.booking__ds__quarter + , subq_4.booking__ds__year + , subq_4.booking__ds__extract_year + , subq_4.booking__ds__extract_quarter + , subq_4.booking__ds__extract_month + , subq_4.booking__ds__extract_day + , subq_4.booking__ds__extract_dow + , subq_4.booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day + , subq_4.booking__paid_at__week + , subq_4.booking__paid_at__month + , subq_4.booking__paid_at__quarter + , subq_4.booking__paid_at__year + , subq_4.booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy + , subq_4.metric_time__week + , subq_4.metric_time__month + , subq_4.metric_time__quarter + , subq_4.metric_time__year + , subq_4.metric_time__extract_year + , subq_4.metric_time__extract_quarter + , subq_4.metric_time__extract_month + , subq_4.metric_time__extract_day + , subq_4.metric_time__extract_dow + , subq_4.metric_time__extract_doy + , subq_4.listing + , subq_4.guest + , subq_4.host + , subq_4.booking__listing + , subq_4.booking__guest + , subq_4.booking__host + , subq_4.is_instant + , subq_4.booking__is_instant + , subq_4.bookings + , subq_4.instant_bookings + , subq_4.booking_value + , subq_4.max_booking_value + , subq_4.min_booking_value + , subq_4.bookers + , subq_4.average_booking_value + , subq_4.referred_bookings + , subq_4.median_booking_value + , subq_4.booking_value_p99 + , subq_4.discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - WHERE subq_3.ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + WHERE subq_4.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + ) subq_5 + ) subq_6 GROUP BY - subq_5.metric_time__day - ) subq_6 -) subq_7 + subq_6.metric_time__day + ) subq_7 +) subq_8 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0_optimized.sql index c855be0bd..eb8f6a54d 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Redshift/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -8,19 +8,14 @@ SELECT , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] -- Pass Only Elements: ['bookings', 'metric_time__day'] -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_10.metric_time__day AS metric_time__day - , SUM(subq_9.bookings) AS bookings_5_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_11 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_10 + subq_12.ds AS metric_time__day + , SUM(subq_10.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_12 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -28,9 +23,10 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_9 + ) subq_10 ON - DATEADD(day, -5, subq_10.metric_time__day) = subq_9.metric_time__day + DATEADD(day, -5, subq_12.ds) = subq_10.metric_time__day + WHERE subq_12.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_10.metric_time__day -) subq_15 + subq_12.ds +) subq_17 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql index b1f5abb57..c73ac16cf 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -228,7 +228,6 @@ FROM ( SELECT subq_6.ds AS metric_time__day FROM ***************************.mf_time_spine subq_6 - WHERE subq_6.ds BETWEEN '2019-12-19' AND '2020-01-02' ) subq_5 INNER JOIN ( -- Join Self Over Time Range diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql index 9aae37738..f20bb5198 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -13,15 +13,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_17.metric_time__day AS metric_time__day + subq_18.ds AS metric_time__day , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_18 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_17 + FROM ***************************.mf_time_spine subq_18 INNER JOIN ( -- Join Self Over Time Range SELECT @@ -38,8 +32,8 @@ FROM ( ) ) subq_16 ON - DATEADD(day, -2, subq_17.metric_time__day) = subq_16.metric_time__day - WHERE subq_17.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + DATEADD(day, -2, subq_18.ds) = subq_16.metric_time__day + WHERE subq_18.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_17.metric_time__day + subq_18.ds ) subq_23 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0.sql index af50d71ec..7531fbaa1 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0.sql @@ -4,351 +4,357 @@ sql_engine: Snowflake --- -- Compute Metrics via Expressions SELECT - subq_11.metric_time__day + subq_12.metric_time__day , 2 * bookings_offset_once AS bookings_offset_twice FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_9.metric_time__day AS metric_time__day - , subq_8.bookings_offset_once AS bookings_offset_once + subq_11.metric_time__day + , subq_11.bookings_offset_once FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_10.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_10 - WHERE subq_10.ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_9 - INNER JOIN ( - -- Compute Metrics via Expressions - SELECT - subq_7.metric_time__day - , 2 * bookings AS bookings_offset_once + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once FROM ( + -- Time Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once FROM ( - -- Aggregate Measures + -- Compute Metrics via Expressions SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , subq_6.bookings FROM ( - -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- Aggregate Measures SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings FROM ( - -- Join to Time Spine Dataset + -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.bookings FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 - GROUP BY - subq_5.metric_time__day - ) subq_6 - ) subq_7 - ) subq_8 - ON - DATEADD(day, -2, subq_9.metric_time__day) = subq_8.metric_time__day -) subq_11 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATEADD(day, -2, subq_9.metric_time__day) = subq_8.metric_time__day + ) subq_11 + WHERE subq_11.metric_time__day BETWEEN '2020-01-12' AND '2020-01-13' +) subq_12 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0_optimized.sql index dc5ec3de8..68d9df184 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -8,16 +8,11 @@ SELECT , 2 * bookings_offset_once AS bookings_offset_twice FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_21.metric_time__day AS metric_time__day - , subq_20.bookings_offset_once AS bookings_offset_once - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_22 - WHERE ds BETWEEN '2020-01-12' AND '2020-01-13' - ) subq_21 + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 INNER JOIN ( -- Compute Metrics via Expressions SELECT @@ -29,9 +24,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_15.ds AS metric_time__day - , SUM(subq_13.bookings) AS bookings - FROM ***************************.mf_time_spine subq_15 + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -39,13 +34,14 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_13 + ) subq_14 ON - DATEADD(day, -5, subq_15.ds) = subq_13.metric_time__day + DATEADD(day, -5, subq_16.ds) = subq_14.metric_time__day GROUP BY - subq_15.ds - ) subq_19 - ) subq_20 + subq_16.ds + ) subq_20 + ) subq_21 ON - DATEADD(day, -2, subq_21.metric_time__day) = subq_20.metric_time__day -) subq_23 + DATEADD(day, -2, subq_23.ds) = subq_21.metric_time__day + WHERE subq_23.ds BETWEEN '2020-01-12' AND '2020-01-13' +) subq_25 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0.sql index b76f01c2e..67eda649e 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0.sql @@ -4,331 +4,433 @@ sql_engine: Snowflake --- -- Compute Metrics via Expressions SELECT - subq_7.metric_time__day + subq_8.metric_time__day , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings AS bookings_5_days_ago + subq_7.metric_time__day + , subq_7.bookings AS bookings_5_days_ago FROM ( -- Aggregate Measures SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , SUM(subq_6.bookings) AS bookings FROM ( -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , subq_5.bookings FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.paid_at__day + , subq_4.paid_at__week + , subq_4.paid_at__month + , subq_4.paid_at__quarter + , subq_4.paid_at__year + , subq_4.paid_at__extract_year + , subq_4.paid_at__extract_quarter + , subq_4.paid_at__extract_month + , subq_4.paid_at__extract_day + , subq_4.paid_at__extract_dow + , subq_4.paid_at__extract_doy + , subq_4.booking__ds__day + , subq_4.booking__ds__week + , subq_4.booking__ds__month + , subq_4.booking__ds__quarter + , subq_4.booking__ds__year + , subq_4.booking__ds__extract_year + , subq_4.booking__ds__extract_quarter + , subq_4.booking__ds__extract_month + , subq_4.booking__ds__extract_day + , subq_4.booking__ds__extract_dow + , subq_4.booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day + , subq_4.booking__paid_at__week + , subq_4.booking__paid_at__month + , subq_4.booking__paid_at__quarter + , subq_4.booking__paid_at__year + , subq_4.booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy + , subq_4.metric_time__week + , subq_4.metric_time__month + , subq_4.metric_time__quarter + , subq_4.metric_time__year + , subq_4.metric_time__extract_year + , subq_4.metric_time__extract_quarter + , subq_4.metric_time__extract_month + , subq_4.metric_time__extract_day + , subq_4.metric_time__extract_dow + , subq_4.metric_time__extract_doy + , subq_4.listing + , subq_4.guest + , subq_4.host + , subq_4.booking__listing + , subq_4.booking__guest + , subq_4.booking__host + , subq_4.is_instant + , subq_4.booking__is_instant + , subq_4.bookings + , subq_4.instant_bookings + , subq_4.booking_value + , subq_4.max_booking_value + , subq_4.min_booking_value + , subq_4.bookers + , subq_4.average_booking_value + , subq_4.referred_bookings + , subq_4.median_booking_value + , subq_4.booking_value_p99 + , subq_4.discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - WHERE subq_3.ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATEADD(day, -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + WHERE subq_4.metric_time__day BETWEEN '2019-12-19' AND '2020-01-02' + ) subq_5 + ) subq_6 GROUP BY - subq_5.metric_time__day - ) subq_6 -) subq_7 + subq_6.metric_time__day + ) subq_7 +) subq_8 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0_optimized.sql index d1eb7907e..ca27d7702 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Snowflake/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -8,19 +8,14 @@ SELECT , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] -- Pass Only Elements: ['bookings', 'metric_time__day'] -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_10.metric_time__day AS metric_time__day - , SUM(subq_9.bookings) AS bookings_5_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_11 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' - ) subq_10 + subq_12.ds AS metric_time__day + , SUM(subq_10.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_12 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -28,9 +23,10 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_9 + ) subq_10 ON - DATEADD(day, -5, subq_10.metric_time__day) = subq_9.metric_time__day + DATEADD(day, -5, subq_12.ds) = subq_10.metric_time__day + WHERE subq_12.ds BETWEEN '2019-12-19' AND '2020-01-02' GROUP BY - subq_10.metric_time__day -) subq_15 + subq_12.ds +) subq_17 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql index 6f292e508..c2c4f8abc 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -228,7 +228,6 @@ FROM ( SELECT subq_6.ds AS metric_time__day FROM ***************************.mf_time_spine subq_6 - WHERE subq_6.ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' ) subq_5 INNER JOIN ( -- Join Self Over Time Range diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql index 2026fd215..c74bc63f1 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -13,15 +13,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_17.metric_time__day AS metric_time__day + subq_18.ds AS metric_time__day , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_18 - WHERE ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' - ) subq_17 + FROM ***************************.mf_time_spine subq_18 INNER JOIN ( -- Join Self Over Time Range SELECT @@ -38,8 +32,8 @@ FROM ( ) ) subq_16 ON - DATE_ADD('day', -2, subq_17.metric_time__day) = subq_16.metric_time__day - WHERE subq_17.metric_time__day BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + DATE_ADD('day', -2, subq_18.ds) = subq_16.metric_time__day + WHERE subq_18.ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' GROUP BY - subq_17.metric_time__day + subq_18.ds ) subq_23 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql index 478c66ac3..55db28ccf 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql @@ -4,351 +4,357 @@ sql_engine: Trino --- -- Compute Metrics via Expressions SELECT - subq_11.metric_time__day + subq_12.metric_time__day , 2 * bookings_offset_once AS bookings_offset_twice FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_9.metric_time__day AS metric_time__day - , subq_8.bookings_offset_once AS bookings_offset_once + subq_11.metric_time__day + , subq_11.bookings_offset_once FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_10.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_10 - WHERE subq_10.ds BETWEEN timestamp '2020-01-12' AND timestamp '2020-01-13' - ) subq_9 - INNER JOIN ( - -- Compute Metrics via Expressions - SELECT - subq_7.metric_time__day - , 2 * bookings AS bookings_offset_once + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once FROM ( + -- Time Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once FROM ( - -- Aggregate Measures + -- Compute Metrics via Expressions SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , subq_6.bookings FROM ( - -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- Aggregate Measures SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings FROM ( - -- Join to Time Spine Dataset + -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.bookings FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 - GROUP BY - subq_5.metric_time__day - ) subq_6 - ) subq_7 - ) subq_8 - ON - DATE_ADD('day', -2, subq_9.metric_time__day) = subq_8.metric_time__day -) subq_11 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATE_ADD('day', -2, subq_9.metric_time__day) = subq_8.metric_time__day + ) subq_11 + WHERE subq_11.metric_time__day BETWEEN timestamp '2020-01-12' AND timestamp '2020-01-13' +) subq_12 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql index d60807863..8bb73428b 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -8,16 +8,11 @@ SELECT , 2 * bookings_offset_once AS bookings_offset_twice FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2020-01-12T00:00:00, 2020-01-13T00:00:00] SELECT - subq_21.metric_time__day AS metric_time__day - , subq_20.bookings_offset_once AS bookings_offset_once - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_22 - WHERE ds BETWEEN timestamp '2020-01-12' AND timestamp '2020-01-13' - ) subq_21 + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 INNER JOIN ( -- Compute Metrics via Expressions SELECT @@ -29,9 +24,9 @@ FROM ( -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_15.ds AS metric_time__day - , SUM(subq_13.bookings) AS bookings - FROM ***************************.mf_time_spine subq_15 + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -39,13 +34,14 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_13 + ) subq_14 ON - DATE_ADD('day', -5, subq_15.ds) = subq_13.metric_time__day + DATE_ADD('day', -5, subq_16.ds) = subq_14.metric_time__day GROUP BY - subq_15.ds - ) subq_19 - ) subq_20 + subq_16.ds + ) subq_20 + ) subq_21 ON - DATE_ADD('day', -2, subq_21.metric_time__day) = subq_20.metric_time__day -) subq_23 + DATE_ADD('day', -2, subq_23.ds) = subq_21.metric_time__day + WHERE subq_23.ds BETWEEN timestamp '2020-01-12' AND timestamp '2020-01-13' +) subq_25 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql index 9ed8d165e..84ff15764 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql @@ -4,331 +4,433 @@ sql_engine: Trino --- -- Compute Metrics via Expressions SELECT - subq_7.metric_time__day + subq_8.metric_time__day , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Compute Metrics via Expressions SELECT - subq_6.metric_time__day - , subq_6.bookings AS bookings_5_days_ago + subq_7.metric_time__day + , subq_7.bookings AS bookings_5_days_ago FROM ( -- Aggregate Measures SELECT - subq_5.metric_time__day - , SUM(subq_5.bookings) AS bookings + subq_6.metric_time__day + , SUM(subq_6.bookings) AS bookings FROM ( -- Pass Only Elements: ['bookings', 'metric_time__day'] SELECT - subq_4.metric_time__day - , subq_4.bookings + subq_5.metric_time__day + , subq_5.bookings FROM ( - -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] SELECT - subq_1.ds__day AS ds__day - , subq_1.ds__week AS ds__week - , subq_1.ds__month AS ds__month - , subq_1.ds__quarter AS ds__quarter - , subq_1.ds__year AS ds__year - , subq_1.ds__extract_year AS ds__extract_year - , subq_1.ds__extract_quarter AS ds__extract_quarter - , subq_1.ds__extract_month AS ds__extract_month - , subq_1.ds__extract_day AS ds__extract_day - , subq_1.ds__extract_dow AS ds__extract_dow - , subq_1.ds__extract_doy AS ds__extract_doy - , subq_1.ds_partitioned__day AS ds_partitioned__day - , subq_1.ds_partitioned__week AS ds_partitioned__week - , subq_1.ds_partitioned__month AS ds_partitioned__month - , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter - , subq_1.ds_partitioned__year AS ds_partitioned__year - , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year - , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter - , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month - , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day - , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow - , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy - , subq_1.paid_at__day AS paid_at__day - , subq_1.paid_at__week AS paid_at__week - , subq_1.paid_at__month AS paid_at__month - , subq_1.paid_at__quarter AS paid_at__quarter - , subq_1.paid_at__year AS paid_at__year - , subq_1.paid_at__extract_year AS paid_at__extract_year - , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter - , subq_1.paid_at__extract_month AS paid_at__extract_month - , subq_1.paid_at__extract_day AS paid_at__extract_day - , subq_1.paid_at__extract_dow AS paid_at__extract_dow - , subq_1.paid_at__extract_doy AS paid_at__extract_doy - , subq_1.booking__ds__day AS booking__ds__day - , subq_1.booking__ds__week AS booking__ds__week - , subq_1.booking__ds__month AS booking__ds__month - , subq_1.booking__ds__quarter AS booking__ds__quarter - , subq_1.booking__ds__year AS booking__ds__year - , subq_1.booking__ds__extract_year AS booking__ds__extract_year - , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter - , subq_1.booking__ds__extract_month AS booking__ds__extract_month - , subq_1.booking__ds__extract_day AS booking__ds__extract_day - , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow - , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy - , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day - , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week - , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month - , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter - , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year - , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year - , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter - , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month - , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day - , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow - , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy - , subq_1.booking__paid_at__day AS booking__paid_at__day - , subq_1.booking__paid_at__week AS booking__paid_at__week - , subq_1.booking__paid_at__month AS booking__paid_at__month - , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter - , subq_1.booking__paid_at__year AS booking__paid_at__year - , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year - , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter - , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month - , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day - , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow - , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy - , subq_1.metric_time__week AS metric_time__week - , subq_1.metric_time__month AS metric_time__month - , subq_1.metric_time__quarter AS metric_time__quarter - , subq_1.metric_time__year AS metric_time__year - , subq_1.metric_time__extract_year AS metric_time__extract_year - , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter - , subq_1.metric_time__extract_month AS metric_time__extract_month - , subq_1.metric_time__extract_day AS metric_time__extract_day - , subq_1.metric_time__extract_dow AS metric_time__extract_dow - , subq_1.metric_time__extract_doy AS metric_time__extract_doy - , subq_2.metric_time__day AS metric_time__day - , subq_1.listing AS listing - , subq_1.guest AS guest - , subq_1.host AS host - , subq_1.booking__listing AS booking__listing - , subq_1.booking__guest AS booking__guest - , subq_1.booking__host AS booking__host - , subq_1.is_instant AS is_instant - , subq_1.booking__is_instant AS booking__is_instant - , subq_1.bookings AS bookings - , subq_1.instant_bookings AS instant_bookings - , subq_1.booking_value AS booking_value - , subq_1.max_booking_value AS max_booking_value - , subq_1.min_booking_value AS min_booking_value - , subq_1.bookers AS bookers - , subq_1.average_booking_value AS average_booking_value - , subq_1.referred_bookings AS referred_bookings - , subq_1.median_booking_value AS median_booking_value - , subq_1.booking_value_p99 AS booking_value_p99 - , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 - , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 - , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + subq_4.metric_time__day + , subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.paid_at__day + , subq_4.paid_at__week + , subq_4.paid_at__month + , subq_4.paid_at__quarter + , subq_4.paid_at__year + , subq_4.paid_at__extract_year + , subq_4.paid_at__extract_quarter + , subq_4.paid_at__extract_month + , subq_4.paid_at__extract_day + , subq_4.paid_at__extract_dow + , subq_4.paid_at__extract_doy + , subq_4.booking__ds__day + , subq_4.booking__ds__week + , subq_4.booking__ds__month + , subq_4.booking__ds__quarter + , subq_4.booking__ds__year + , subq_4.booking__ds__extract_year + , subq_4.booking__ds__extract_quarter + , subq_4.booking__ds__extract_month + , subq_4.booking__ds__extract_day + , subq_4.booking__ds__extract_dow + , subq_4.booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day + , subq_4.booking__paid_at__week + , subq_4.booking__paid_at__month + , subq_4.booking__paid_at__quarter + , subq_4.booking__paid_at__year + , subq_4.booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy + , subq_4.metric_time__week + , subq_4.metric_time__month + , subq_4.metric_time__quarter + , subq_4.metric_time__year + , subq_4.metric_time__extract_year + , subq_4.metric_time__extract_quarter + , subq_4.metric_time__extract_month + , subq_4.metric_time__extract_day + , subq_4.metric_time__extract_dow + , subq_4.metric_time__extract_doy + , subq_4.listing + , subq_4.guest + , subq_4.host + , subq_4.booking__listing + , subq_4.booking__guest + , subq_4.booking__host + , subq_4.is_instant + , subq_4.booking__is_instant + , subq_4.bookings + , subq_4.instant_bookings + , subq_4.booking_value + , subq_4.max_booking_value + , subq_4.min_booking_value + , subq_4.bookers + , subq_4.average_booking_value + , subq_4.referred_bookings + , subq_4.median_booking_value + , subq_4.booking_value_p99 + , subq_4.discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 FROM ( - -- Time Spine + -- Join to Time Spine Dataset SELECT - subq_3.ds AS metric_time__day - FROM ***************************.mf_time_spine subq_3 - WHERE subq_3.ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' - ) subq_2 - INNER JOIN ( - -- Metric Time Dimension 'ds' - SELECT - subq_0.ds__day - , subq_0.ds__week - , subq_0.ds__month - , subq_0.ds__quarter - , subq_0.ds__year - , subq_0.ds__extract_year - , subq_0.ds__extract_quarter - , subq_0.ds__extract_month - , subq_0.ds__extract_day - , subq_0.ds__extract_dow - , subq_0.ds__extract_doy - , subq_0.ds_partitioned__day - , subq_0.ds_partitioned__week - , subq_0.ds_partitioned__month - , subq_0.ds_partitioned__quarter - , subq_0.ds_partitioned__year - , subq_0.ds_partitioned__extract_year - , subq_0.ds_partitioned__extract_quarter - , subq_0.ds_partitioned__extract_month - , subq_0.ds_partitioned__extract_day - , subq_0.ds_partitioned__extract_dow - , subq_0.ds_partitioned__extract_doy - , subq_0.paid_at__day - , subq_0.paid_at__week - , subq_0.paid_at__month - , subq_0.paid_at__quarter - , subq_0.paid_at__year - , subq_0.paid_at__extract_year - , subq_0.paid_at__extract_quarter - , subq_0.paid_at__extract_month - , subq_0.paid_at__extract_day - , subq_0.paid_at__extract_dow - , subq_0.paid_at__extract_doy - , subq_0.booking__ds__day - , subq_0.booking__ds__week - , subq_0.booking__ds__month - , subq_0.booking__ds__quarter - , subq_0.booking__ds__year - , subq_0.booking__ds__extract_year - , subq_0.booking__ds__extract_quarter - , subq_0.booking__ds__extract_month - , subq_0.booking__ds__extract_day - , subq_0.booking__ds__extract_dow - , subq_0.booking__ds__extract_doy - , subq_0.booking__ds_partitioned__day - , subq_0.booking__ds_partitioned__week - , subq_0.booking__ds_partitioned__month - , subq_0.booking__ds_partitioned__quarter - , subq_0.booking__ds_partitioned__year - , subq_0.booking__ds_partitioned__extract_year - , subq_0.booking__ds_partitioned__extract_quarter - , subq_0.booking__ds_partitioned__extract_month - , subq_0.booking__ds_partitioned__extract_day - , subq_0.booking__ds_partitioned__extract_dow - , subq_0.booking__ds_partitioned__extract_doy - , subq_0.booking__paid_at__day - , subq_0.booking__paid_at__week - , subq_0.booking__paid_at__month - , subq_0.booking__paid_at__quarter - , subq_0.booking__paid_at__year - , subq_0.booking__paid_at__extract_year - , subq_0.booking__paid_at__extract_quarter - , subq_0.booking__paid_at__extract_month - , subq_0.booking__paid_at__extract_day - , subq_0.booking__paid_at__extract_dow - , subq_0.booking__paid_at__extract_doy - , subq_0.ds__day AS metric_time__day - , subq_0.ds__week AS metric_time__week - , subq_0.ds__month AS metric_time__month - , subq_0.ds__quarter AS metric_time__quarter - , subq_0.ds__year AS metric_time__year - , subq_0.ds__extract_year AS metric_time__extract_year - , subq_0.ds__extract_quarter AS metric_time__extract_quarter - , subq_0.ds__extract_month AS metric_time__extract_month - , subq_0.ds__extract_day AS metric_time__extract_day - , subq_0.ds__extract_dow AS metric_time__extract_dow - , subq_0.ds__extract_doy AS metric_time__extract_doy - , subq_0.listing - , subq_0.guest - , subq_0.host - , subq_0.booking__listing - , subq_0.booking__guest - , subq_0.booking__host - , subq_0.is_instant - , subq_0.booking__is_instant - , subq_0.bookings - , subq_0.instant_bookings - , subq_0.booking_value - , subq_0.max_booking_value - , subq_0.min_booking_value - , subq_0.bookers - , subq_0.average_booking_value - , subq_0.referred_bookings - , subq_0.median_booking_value - , subq_0.booking_value_p99 - , subq_0.discrete_booking_value_p99 - , subq_0.approximate_continuous_booking_value_p99 - , subq_0.approximate_discrete_booking_value_p99 + subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.metric_time__day AS metric_time__day + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 FROM ( - -- Read Elements From Semantic Model 'bookings_source' + -- Time Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' SELECT - 1 AS bookings - , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings - , bookings_source_src_28000.booking_value - , bookings_source_src_28000.booking_value AS max_booking_value - , bookings_source_src_28000.booking_value AS min_booking_value - , bookings_source_src_28000.guest_id AS bookers - , bookings_source_src_28000.booking_value AS average_booking_value - , bookings_source_src_28000.booking_value AS booking_payments - , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings - , bookings_source_src_28000.booking_value AS median_booking_value - , bookings_source_src_28000.booking_value AS booking_value_p99 - , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 - , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 - , bookings_source_src_28000.is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy - , bookings_source_src_28000.is_instant AS booking__is_instant - , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day - , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week - , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year - , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day - , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week - , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month - , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter - , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year - , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month - , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy - , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day - , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week - , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month - , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter - , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year - , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year - , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter - , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month - , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day - , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow - , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy - , bookings_source_src_28000.listing_id AS listing - , bookings_source_src_28000.guest_id AS guest - , bookings_source_src_28000.host_id AS host - , bookings_source_src_28000.listing_id AS booking__listing - , bookings_source_src_28000.guest_id AS booking__guest - , bookings_source_src_28000.host_id AS booking__host - FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_0 - ) subq_1 - ON - DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day - ) subq_4 - ) subq_5 + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + WHERE subq_4.metric_time__day BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + ) subq_5 + ) subq_6 GROUP BY - subq_5.metric_time__day - ) subq_6 -) subq_7 + subq_6.metric_time__day + ) subq_7 +) subq_8 diff --git a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql index 0d06d2459..db938122a 100644 --- a/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql +++ b/tests_metricflow/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -8,19 +8,14 @@ SELECT , bookings_5_days_ago AS bookings_5_day_lag FROM ( -- Join to Time Spine Dataset + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] -- Pass Only Elements: ['bookings', 'metric_time__day'] -- Aggregate Measures -- Compute Metrics via Expressions SELECT - subq_10.metric_time__day AS metric_time__day - , SUM(subq_9.bookings) AS bookings_5_days_ago - FROM ( - -- Time Spine - SELECT - ds AS metric_time__day - FROM ***************************.mf_time_spine subq_11 - WHERE ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' - ) subq_10 + subq_12.ds AS metric_time__day + , SUM(subq_10.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_12 INNER JOIN ( -- Read Elements From Semantic Model 'bookings_source' -- Metric Time Dimension 'ds' @@ -28,9 +23,10 @@ FROM ( DATE_TRUNC('day', ds) AS metric_time__day , 1 AS bookings FROM ***************************.fct_bookings bookings_source_src_28000 - ) subq_9 + ) subq_10 ON - DATE_ADD('day', -5, subq_10.metric_time__day) = subq_9.metric_time__day + DATE_ADD('day', -5, subq_12.ds) = subq_10.metric_time__day + WHERE subq_12.ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' GROUP BY - subq_10.metric_time__day -) subq_15 + subq_12.ds +) subq_17