gcloud_alpha_dataproc_jobs_submit_spark (1)

NAME

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

SYNOPSIS

gcloud alpha dataproc jobs submit spark --cluster=CLUSTER (--class=MAIN_CLASS | --jar=MAIN_JAR) [--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] [--properties=[PROPERTY=VALUE,...]] [--region=REGION] [GCLOUD_WIDE_FLAG ...] [-- JOB_ARGS ...]

DESCRIPTION

(ALPHA) Submit a Spark job to a cluster.

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

--cluster=CLUSTER

The Dataproc cluster to submit the job to.

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.

OPTIONAL FLAGS

--archives=[ARCHIVE,...]

Comma separated list of archives to be provided to the job. must be one of the following file formats: .zip, .tar, .tar.gz, or .tgz.

--async

Does not wait for the job to run.

--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 provided to the job.

--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 maximum number of times a job can be restarted in event of failure. Expressed as a per-hour rate. Default is 0 (no failure retries).

--properties=[PROPERTY=VALUE,...]

List of key value pairs to configure Spark. For a list of available properties, see: spark.apache.org/docs/latest/configuration.html#available-properties

--region=REGION

Cloud Dataproc region to use. Each Cloud Dataproc region constitutes an independent resource namespace constrained to deploying instances into Compute Engine zones inside the region. The default value of global is a special multi-region namespace which is capable of deploying instances into all Compute Engine zones globally, and is disjoint from other Cloud Dataproc regions. Overrides the default dataproc/region property value for this command invocation.

GCLOUD WIDE FLAGS

These flags are available to all commands: --account, --configuration, --flags-file, --flatten, --format, --help, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity. Run $ gcloud help for details.

EXAMPLES

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

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

NOTES

This command is currently in ALPHA and may change without notice. If this command fails with API permission errors despite specifying the right project, you will have to apply for early access and have your projects registered on the API whitelist to use it. To do so, contact Support at cloud.google.com/support These variants are also available:

$ gcloud dataproc jobs submit spark $ gcloud beta dataproc jobs submit spark