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,…]] [--driver-required-memory-mb=DRIVER_REQUIRED_MEMORY_MB] [--driver-required-vcores=DRIVER_REQUIRED_VCORES] [--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
--driver-required-memory-mb=DRIVER_REQUIRED_MEMORY_MB
The memory allocation requested by the job driver in megabytes (MB) for execution on the driver node group (it is used only by clusters with a driver node group).
--driver-required-vcores=DRIVER_REQUIRED_VCORES
The vCPU allocation requested by the job driver for execution on the driver node group (it is used only by clusters with a driver node group).
--files=[FILE,…]
Comma separated list of files to be placed in the working directory of both the app driver 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