如何使用气流触发 google dataproc 作业并传递参数

How to trigger google dataproc job using airflow and pass parameter as well

作为 DAG 的一部分,我正在使用以下代码触发 gcp pyspark dataproc 作业,

   dag=dag,
   gcp_conn_id=gcp_conn_id,
   region=region,
   main=pyspark_script_location_gcs,
   task_id='pyspark_job_1_submit',
   cluster_name=cluster_name,
   job_name="job_1"
)

如何将变量作为参数传递给可在脚本中访问的 pyspark 作业?

您可以使用 DataProcPySparkOperator 的参数 arguments:

arguments (list) – Arguments for the job. (templated)

job = DataProcPySparkOperator(
    gcp_conn_id=gcp_conn_id,
    region=region,
    main=pyspark_script_location_gcs,
    task_id='pyspark_job_1_submit',
    cluster_name=cluster_name,
    job_name="job_1",
    arguments=[
        "-arg1=arg1_value", # or just "arg1_value" for non named args
        "-arg2=arg2_value"
    ],
    dag=dag
)