gcloud_alpha_dataproc_jobs_submit_pyspark (1)

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 [--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,...]] [--py-files=[PY_FILE,...]] [--region=REGION] [GCLOUD_WIDE_FLAG ...] [-- JOB_ARGS ...]

DESCRIPTION

(ALPHA) Submit a PySpark job to a cluster.

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

--cluster=CLUSTER

The Dataproc cluster to submit the job to.

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 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 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 PySpark. For a list of available properties, see: 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

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 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

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 pyspark $ gcloud beta dataproc jobs submit pyspark