Source code for system.alibaba.example_adb_spark_batch

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from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.alibaba.cloud.operators.analyticdb_spark import AnalyticDBSparkBatchOperator

# Ignore missing args provided by default_args
# mypy: disable-error-code="call-arg"

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
DAG_ID = "adb_spark_batch_dag"
# [START howto_operator_adb_spark_batch]
with DAG(
    dag_id=DAG_ID,
    start_date=datetime(2021, 1, 1),
    schedule=None,
    default_args={"cluster_id": "your cluster", "rg_name": "your resource group", "region": "your region"},
    max_active_runs=1,
    catchup=False,
) as dag:
    spark_pi = AnalyticDBSparkBatchOperator(
        task_id="task1",
        file="local:///tmp/spark-examples.jar",
        class_name="org.apache.spark.examples.SparkPi",
        cluster_id="<your cluster id>",
        rg_name="<your resource group name>",
    )

    spark_lr = AnalyticDBSparkBatchOperator(
        task_id="task2",
        file="local:///tmp/spark-examples.jar",
        class_name="org.apache.spark.examples.SparkLR",
        cluster_id="<your cluster id>",
        rg_name="<your resource group name>",
    )

    #  Replace the above cluster_id and rg_name with your own values.

    spark_pi >> spark_lr

    from tests_common.test_utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()
# [END howto_operator_adb_spark_batch]

from tests_common.test_utils.system_tests import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)