NAME
    gcloud alpha dataproc jobs submit pyspark - submit a PySpark job to a
        cluster

SYNOPSIS
    gcloud alpha dataproc jobs submit pyspark PY_FILE
        (--cluster=CLUSTER | --cluster-labels=[KEY=VALUE,...])
        [--archives=[ARCHIVE,...]] [--async] [--bucket=BUCKET]
        [--driver-log-levels=[PACKAGE=LEVEL,...]] [--files=[FILE,...]]
        [--jars=[JAR,...]] [--labels=[KEY=VALUE,...]]
        [--max-failures-per-hour=MAX_FAILURES_PER_HOUR]
        [--max-failures-total=MAX_FAILURES_TOTAL]
        [--properties=[PROPERTY=VALUE,...]] [--py-files=[PY_FILE,...]]
        [--region=REGION] [GCLOUD_WIDE_FLAG ...] [-- JOB_ARGS ...]

DESCRIPTION
    (ALPHA) Submit a PySpark job to a cluster.

EXAMPLES
    To submit a PySpark job with a local script and custom flags, run:

        $ gcloud alpha dataproc jobs submit pyspark --cluster=my_cluster \
            my_script.py -- --custom-flag

    To submit a Spark job that runs a script that is already on the cluster,
    run:

        $ gcloud alpha dataproc jobs submit pyspark --cluster=my_cluster \
            file:///usr/lib/spark/examples/src/main/python/pi.py -- 100

POSITIONAL ARGUMENTS
     PY_FILE
        Main .py file to run as the driver.

     [-- JOB_ARGS ...]
        Arguments to pass to the driver.

        The '--' argument must be specified between gcloud specific args on the
        left and JOB_ARGS on the right.

REQUIRED FLAGS
     Exactly one of these must be specified:

       --cluster=CLUSTER
          The Dataproc cluster to submit the job to.

       --cluster-labels=[KEY=VALUE,...]
          List of label KEY=VALUE pairs to add.

          Keys must start with a lowercase character and contain only hyphens
          (-), underscores (_), lowercase characters, and numbers. Values must
          contain only hyphens (-), underscores (_), lowercase characters, and
          numbers.

          Labels of Dataproc cluster on which to place the job.

OPTIONAL FLAGS
     --archives=[ARCHIVE,...]
        Comma separated list of archives to be extracted into the working
        directory of each executor. Must be one of the following file formats:
        .zip, .tar, .tar.gz, or .tgz.

     --async
        Return immediately, without waiting for the operation in progress to
        complete.

     --bucket=BUCKET
        The Cloud Storage bucket to stage files in. Defaults to the cluster's
        configured bucket.

     --driver-log-levels=[PACKAGE=LEVEL,...]
        List of key value pairs to configure driver logging, where key is a
        package and value is the log4j log level. For example:
        root=FATAL,com.example=INFO

     --files=[FILE,...]
        Comma separated list of files to be placed in the working directory of
        both the app master and executors.

     --jars=[JAR,...]
        Comma separated list of jar files to be provided to the executor and
        driver classpaths.

     --labels=[KEY=VALUE,...]
        List of label KEY=VALUE pairs to add.

        Keys must start with a lowercase character and contain only hyphens
        (-), underscores (_), lowercase characters, and numbers. Values must
        contain only hyphens (-), underscores (_), lowercase characters, and
        numbers.

     --max-failures-per-hour=MAX_FAILURES_PER_HOUR
        Specifies the maximum number of times a job can be restarted per hour
        in event of failure. Default is 0 (no retries after job failure).

     --max-failures-total=MAX_FAILURES_TOTAL
        Specifies the maximum total number of times a job can be restarted
        after the job fails. Default is 0 (no retries after job failure).

     --properties=[PROPERTY=VALUE,...]
        List of key value pairs to configure PySpark. For a list of available
        properties, see:
        https://spark.apache.org/docs/latest/configuration.html#available-properties.

     --py-files=[PY_FILE,...]
        Comma separated list of Python files to be provided to the job. Must be
        one of the following file formats ".py, .zip, or .egg".

     --region=REGION
        Dataproc region to use. Each Dataproc region constitutes an independent
        resource namespace constrained to deploying instances into Compute
        Engine zones inside the region. Overrides the default dataproc/region
        property value for this command invocation.

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.

NOTES
    This command is currently in alpha and might change without notice. If this
    command fails with API permission errors despite specifying the correct
    project, you might be trying to access an API with an invitation-only early
    access allowlist. These variants are also available:

        $ gcloud dataproc jobs submit pyspark

        $ gcloud beta dataproc jobs submit pyspark

