Source code for tests.system.apache.spark.example_spark_dag
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example Airflow DAG to submit Apache Spark applications using
`SparkSubmitOperator`, `SparkJDBCOperator` and `SparkSqlOperator`.
"""
from __future__ import annotations
import os
from datetime import datetime
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
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "example_spark_operator"
with DAG(
dag_id=DAG_ID,
schedule=None,
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example"],
) as dag:
# [START howto_operator_spark_submit]
[docs] 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]
spark_sql_job = SparkSqlOperator(
sql="SELECT COUNT(1) as cnt FROM temp_table", master="local", task_id="spark_sql_job"
)
# [END howto_operator_spark_sql]
from tests_common.test_utils.system_tests import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)