Source code for tests.system.providers.apache.spark.example_spark_dag

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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="${SPARK_HOME}/examples/src/main/python/", task_id="submit_job" )
# [END howto_operator_spark_submit] # [START howto_operator_spark_jdbc] jdbc_to_spark_job = SparkJDBCOperator( cmd_type="jdbc_to_spark", jdbc_table="foo", spark_jars="${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.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/
[docs]test_run = get_test_run(dag)

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