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Create DataIngestion #2

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Create DataIngestion #2

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24 changes: 24 additions & 0 deletions DataIngestion
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# Import functions
from pyspark.sql.functions import col, current_timestamp

# Define variables used in code below
file_path = "/databricks-datasets/structured-streaming/events"
username = spark.sql("SELECT regexp_replace(current_user(), '[^a-zA-Z0-9]', '_')").first()[0]
table_name = f"{username}_etl_quickstart"
checkpoint_path = f"/tmp/{username}/_checkpoint/etl_quickstart"

# Clear out data from previous demo execution
spark.sql(f"DROP TABLE IF EXISTS {table_name}")
dbutils.fs.rm(checkpoint_path, True)

# Configure Auto Loader to ingest JSON data to a Delta table
(spark.readStream
.format("cloudFiles")
.option("cloudFiles.format", "json")
.option("cloudFiles.schemaLocation", checkpoint_path)
.load(file_path)
.select("*", col("_metadata.file_path").alias("source_file"), current_timestamp().alias("processing_time"))
.writeStream
.option("checkpointLocation", checkpoint_path)
.trigger(availableNow=True)
.toTable(table_name))