gcloud dataproc jobs submit spark

NAME: gcloud dataproc jobs submit spark - submit a Spark job to a cluster
SYNOPSIS: gcloud 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: Submit a Spark job to a cluster.
EXAMPLES: To submit a Spark job that runs the main class of a jar, run:
gcloud 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 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 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: These variants are also available:
gcloud alpha dataproc jobs submit spark

gcloud beta dataproc jobs submit spark

gcloud dataproc jobs submit spark Stay organized with collections Save and categorize content based on your preferences.

gcloud dataproc jobs submit spark