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Makefile
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Makefile
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SPARK_ARGS = --master local[*] \
--packages org.apache.spark:spark-sql-kafka-0-10_2.12:3.5.1,org.apache.spark:spark-avro_2.12:3.5.1,io.delta:delta-spark_2.12:3.1.0 \
--conf spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension \
--conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog
.PHONY: help
help:
@grep -E '^[a-zA-Z0-9 -]+:.*#' Makefile | while read -r l; do printf "\033[1;32m$$(echo $$l | cut -f 1 -d':')\033[00m:$$(echo $$l | cut -f 2- -d'#')\n"; done
.PHONY: setup
setup: # Set up virtual env with the app and its dependencies.
pip install --upgrade pip setuptools wheel poetry==1.8.2
poetry config virtualenvs.in-project true --local
poetry install
.PHONY: lint
lint: # Run code linting tools.
poetry run pre-commit run --all-files
.PHONY: clean
clean: # Clean auxiliary files.
rm -rf *.egg-info spark-warehouse metastore_db derby.log checkpoint/* checkpoint/.[!.]*
touch checkpoint/.gitkeep
.PHONY: kafka-up
kafka-up: # Spin up local Kafka instance with Docker.
docker-compose up -d
.PHONY: kafka-down
kafka-down: # Tear down local Kafka instance.
docker-compose down
.PHONY: kafka-create-topic
kafka-create-topic: # Create Kafka topic for local dev.
docker exec broker \
kafka-topics \
--bootstrap-server broker:9092 \
--create \
--topic movie.ratings.v1
.PHONY: kafka-produce-test-events
kafka-produce-test-events: # Produce dummy test events locally.
poetry run python movie_ratings_streaming/produce_test_events.py
.PHONY: kafka-read-test-events
kafka-read-test-events: # Read and display local test events.
docker exec --interactive --tty schema-registry \
kafka-avro-console-consumer \
--topic movie.ratings.v1 \
--bootstrap-server broker:9092 \
--property schema.registry.url=http://localhost:8081 \
--from-beginning
.PHONY:
pyspark: # Run local pyspark console.
poetry run pyspark \
$(SPARK_ARGS)
.PHONY:
spark-sql: # Run local spark sql console.
poetry run spark-sql \
$(SPARK_ARGS)
.PHONY:
create-sink-table: # Create sink Delta table locally.
poetry run spark-sql \
$(SPARK_ARGS) \
-e "CREATE TABLE movie_ratings ( \
event_id STRING, \
user_id STRING, \
movie_id STRING, \
rating FLOAT, \
is_approved BOOLEAN, \
rating_timestamp BIGINT \
) \
USING DELTA \
PARTITIONED BY (rating_date DATE)"
.PHONY:
streaming-app-run: # Run Spark Structured streaming app locally.
poetry run spark-submit \
$(SPARK_ARGS) \
movie_ratings_streaming/entrypoint.py