gcloud-help/gcloud/alpha/dataproc/jobs/submit/spark

NAME
    gcloud alpha dataproc jobs submit spark - submit a Spark job to a cluster

SYNOPSIS
    gcloud alpha dataproc jobs submit spark
        (--class=MAIN_CLASS | --jar=MAIN_JAR)
        (--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,...]] [--properties-file=PROPERTIES_FILE]
        [--region=REGION] [GCLOUD_WIDE_FLAG ...] [-- JOB_ARGS ...]

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

EXAMPLES
    To submit a Spark job that runs the main class of a jar, run:

        $ gcloud alpha dataproc jobs submit spark --cluster=my-cluster \
            --region=us-central1 --jar=my_jar.jar -- arg1 arg2

    To submit a Spark job that runs a specific class of a jar, run:

        $ gcloud alpha dataproc jobs submit spark --cluster=my-cluster \
            --region=us-central1 --class=org.my.main.Class \
            --jars=my_jar1.jar,my_jar2.jar -- arg1 arg2

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

        $ gcloud alpha dataproc jobs submit spark --cluster=my-cluster \
            --region=us-central1 --class=org.apache.spark.examples.SparkPi \
            --jars=file:///usr/lib/spark/examples/jars/spark-examples.jar \
            -- 1000

POSITIONAL ARGUMENTS
     [-- 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:

       --class=MAIN_CLASS
          The class containing the main method of the driver. Must be in a
          provided jar or jar that is already on the classpath

       --jar=MAIN_JAR
          The HCFS URI of jar file containing the driver jar.

     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 package to log4j log level pairs to configure driver logging.
        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 Spark. For a list of available
        properties, see:
        https://spark.apache.org/docs/latest/configuration.html#available-properties.

     --properties-file=PROPERTIES_FILE
        Path to a local file or a file in a Cloud Storage bucket containing
        configuration properties for the job. The client machine running this
        command must have read permission to the file.

        Specify properties in the form of property=value in the text file. For
        example:

              # Properties to set for the job:
              key1=value1
              key2=value2
              # Comment out properties not used.
              # key3=value3

        If a property is set in both --properties and --properties-file, the
        value defined in --properties takes precedence.

     --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 spark

        $ gcloud beta dataproc jobs submit spark