feat(eap): drop trace_id from both attrs tables, drop attr_value from…

… numbers

snuba/snuba_migrations/events_analytics_platform/0014_span_attribute_table_smaller.py

@@ -0,0 +1,250 @@
+from __future__ import annotations
+
+from typing import Sequence
+
+from snuba.clusters.storage_sets import StorageSetKey
+from snuba.migrations import migration, operations, table_engines
+from snuba.migrations.columns import MigrationModifiers as Modifiers
+from snuba.migrations.operations import OperationTarget, SqlOperation
+from snuba.utils.constants import ATTRIBUTE_BUCKETS
+from snuba.utils.schemas import (
+    Column,
+    DateTime,
+    Float,
+    SimpleAggregateFunction,
+    String,
+    UInt,
+)
+
+
+class Migration(migration.ClickhouseNodeMigration):
+    """
+    This migration creates a table meant to store just the attributes seen in a particular org.
+    The table is populated by a separate materialized view for each type of attribute.
+    """
+
+    blocking = False
+    storage_set_key = StorageSetKey.EVENTS_ANALYTICS_PLATFORM
+    granularity = "8192"
+
+    old_str_mv = "spans_str_attrs_mv"
+    old_str_local_table = "spans_str_attrs_local"
+    old_str_dist_table = "spans_str_attrs_dist"
+    new_str_mv = "spans_str_attrs_2_mv"
+    new_str_local_table = "spans_str_attrs_2_local"
+    new_str_dist_table = "spans_str_attrs_2_dist"
+    str_columns: Sequence[Column[Modifiers]] = [
+        Column("organization_id", UInt(64)),
+        Column("project_id", UInt(64)),
+        Column("attr_key", String(modifiers=Modifiers(codecs=["ZSTD(1)"]))),
+        Column("attr_value", String(modifiers=Modifiers(codecs=["ZSTD(1)"]))),
+        Column("timestamp", DateTime(modifiers=Modifiers(codecs=["ZSTD(1)"]))),
+        Column("retention_days", UInt(16)),
+        Column("count", SimpleAggregateFunction("sum", [UInt(64)])),
+    ]
+
+    old_num_mv = "spans_num_attrs_mv"
+    old_num_local_table = "spans_num_attrs_local"
+    old_num_dist_table = "spans_num_attrs_dist"
+    new_num_mv = "spans_num_attrs_2_mv"
+    new_num_local_table = "spans_num_attrs_2_local"
+    new_num_dist_table = "spans_num_attrs_2_dist"
+    num_columns: Sequence[Column[Modifiers]] = [
+        Column("organization_id", UInt(64)),
+        Column("project_id", UInt(64)),
+        Column("attr_key", String()),
+        Column("attr_min_value", SimpleAggregateFunction("min", [Float(64)])),
+        Column("attr_max_value", SimpleAggregateFunction("max", [Float(64)])),
+        Column("timestamp", DateTime(modifiers=Modifiers(codecs=["ZSTD(1)"]))),
+        Column("retention_days", UInt(16)),
+        Column("count", SimpleAggregateFunction("sum", [UInt(64)])),
+    ]
+
+    def forwards_ops(self) -> Sequence[SqlOperation]:
+        return [
+            # first, drop the old MVs
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.old_str_mv,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.old_num_mv,
+                target=OperationTarget.LOCAL,
+            ),
+            # next, drop the old dist tables
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.old_str_dist_table,
+                target=OperationTarget.DISTRIBUTED,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.old_num_dist_table,
+                target=OperationTarget.DISTRIBUTED,
+            ),
+            # next, drop the old local tables
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.old_str_local_table,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.old_num_local_table,
+                target=OperationTarget.LOCAL,
+            ),
+            # now, create new versions of the tables & MVs
+            operations.CreateTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_str_local_table,
+                engine=table_engines.AggregatingMergeTree(
+                    storage_set=self.storage_set_key,
+                    primary_key="(organization_id, attr_key)",
+                    order_by="(organization_id, attr_key, attr_value, project_id, timestamp, retention_days)",
+                    partition_by="toMonday(timestamp)",
+                    settings={
+                        "index_granularity": self.granularity,
+                    },
+                    ttl="timestamp + toIntervalDay(retention_days)",
+                ),
+                columns=self.str_columns,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.CreateTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_str_dist_table,
+                engine=table_engines.Distributed(
+                    local_table_name=self.new_str_local_table, sharding_key=None
+                ),
+                columns=self.str_columns,
+                target=OperationTarget.DISTRIBUTED,
+            ),
+            operations.CreateMaterializedView(
+                storage_set=self.storage_set_key,
+                view_name=self.new_str_mv,
+                columns=self.str_columns,
+                destination_table_name=self.new_str_local_table,
+                target=OperationTarget.LOCAL,
+                query=f"""
+SELECT
+    organization_id,
+    project_id,
+    attrs.1 as attr_key,
+    attrs.2 as attr_value,
+    toStartOfDay(_sort_timestamp) AS timestamp,
+    retention_days,
+    1 AS count
+FROM eap_spans_local
+LEFT ARRAY JOIN
+    arrayConcat(
+        {", ".join(f"CAST(attr_str_{n}, 'Array(Tuple(String, String))')" for n in range(ATTRIBUTE_BUCKETS))},
+        array(
+            tuple('service', `service`),
+            tuple('segment_name', `segment_name`),
+            tuple('name', `name`)
+        )
+    ) AS attrs
+GROUP BY
+    organization_id,
+    project_id,
+    attr_key,
+    attr_value,
+    timestamp,
+    retention_days
+""",
+            ),
+            operations.CreateTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_num_local_table,
+                engine=table_engines.AggregatingMergeTree(
+                    storage_set=self.storage_set_key,
+                    primary_key="(organization_id, attr_key)",
+                    order_by="(organization_id, attr_key, attr_min_value, attr_max_value, timestamp, project_id, retention_days)",
+                    partition_by="toMonday(timestamp)",
+                    settings={
+                        "index_granularity": self.granularity,
+                    },
+                    ttl="timestamp + toIntervalDay(retention_days)",
+                ),
+                columns=self.num_columns,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.CreateTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_num_dist_table,
+                engine=table_engines.Distributed(
+                    local_table_name=self.new_num_local_table, sharding_key=None
+                ),
+                columns=self.num_columns,
+                target=OperationTarget.DISTRIBUTED,
+            ),
+            operations.CreateMaterializedView(
+                storage_set=self.storage_set_key,
+                view_name=self.new_num_mv,
+                columns=self.num_columns,
+                destination_table_name=self.new_num_local_table,
+                target=OperationTarget.LOCAL,
+                query=f"""
+SELECT
+    organization_id,
+    project_id,
+    attrs.1 as attr_key,
+    attrs.2 as attr_min_value,
+    attrs.2 as attr_max_value,
+    toStartOfDay(_sort_timestamp) AS timestamp,
+    retention_days,
+    1 AS count
+FROM eap_spans_local
+LEFT ARRAY JOIN
+    arrayConcat(
+        {",".join(f"CAST(attr_num_{n}, 'Array(Tuple(String, Float64))')" for n in range(ATTRIBUTE_BUCKETS))},
+        array(
+            tuple('duration_ms', `duration_ms`::Float64)
+        )
+    ) AS attrs
+GROUP BY
+    organization_id,
+    project_id,
+    attrs.1,
+    attrs.2,
+    timestamp,
+    retention_days
+""",
+            ),
+        ]
+
+    def backwards_ops(self) -> Sequence[SqlOperation]:
+        return [
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_str_mv,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_str_local_table,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_str_dist_table,
+                target=OperationTarget.DISTRIBUTED,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_num_mv,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_num_local_table,
+                target=OperationTarget.LOCAL,
+            ),
+            operations.DropTable(
+                storage_set=self.storage_set_key,
+                table_name=self.new_num_dist_table,
+                target=OperationTarget.DISTRIBUTED,
+            ),
+        ]