spark_dag

Example Airflow DAG to submit Apache Spark applications using SparkSubmitOperator, SparkJDBCOperator and SparkSqlOperator.

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"""
Example Airflow DAG to submit Apache Spark applications using
`SparkSubmitOperator`, `SparkJDBCOperator` and `SparkSqlOperator`.
"""
from airflow.models import DAG
from airflow.providers.apache.spark.operators.spark_jdbc import SparkJDBCOperator
from airflow.providers.apache.spark.operators.spark_sql import SparkSqlOperator
from airflow.providers.apache.spark.operators.spark_submit import SparkSubmitOperator
from airflow.utils.dates import days_ago
args = {
'owner': 'Airflow',
}
with DAG(
dag_id='example_spark_operator',
default_args=args,
schedule_interval=None,
start_date=days_ago(2),
tags=['example'],
) as dag:
# [START howto_operator_spark_submit]
submit_job = SparkSubmitOperator(
application="${SPARK_HOME}/examples/src/main/python/pi.py", task_id="submit_job"
)
# [END howto_operator_spark_submit]
# [START howto_operator_spark_jdbc]
jdbc_to_spark_job = SparkJDBCOperator(
cmd_type='jdbc_to_spark',
jdbc_table="foo",
spark_jars="${SPARK_HOME}/jars/postgresql-42.2.12.jar",
jdbc_driver="org.postgresql.Driver",
metastore_table="bar",
save_mode="overwrite",
save_format="JSON",
task_id="jdbc_to_spark_job",
)
spark_to_jdbc_job = SparkJDBCOperator(
cmd_type='spark_to_jdbc',
jdbc_table="foo",
spark_jars="${SPARK_HOME}/jars/postgresql-42.2.12.jar",
jdbc_driver="org.postgresql.Driver",
metastore_table="bar",
save_mode="append",
task_id="spark_to_jdbc_job",
)
# [END howto_operator_spark_jdbc]
# [START howto_operator_spark_sql]
sql_job = SparkSqlOperator(sql="SELECT * FROM bar", master="local", task_id="sql_job")
# [END howto_operator_spark_sql]
Last Updated by boittegaboittega