- NAME
-
- gcloud beta dataproc jobs submit pyspark - submit a PySpark job to a cluster
- SYNOPSIS
-
-
gcloud beta dataproc jobs submit pysparkPY_FILE(--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] [--py-files=[PY_FILE,…]] [--region=REGION] [GCLOUD_WIDE_FLAG …] [--JOB_ARGS…]
-
- DESCRIPTION
-
(BETA)Submit a PySpark job to a cluster. - EXAMPLES
-
To submit a PySpark job with a local script and custom flags, run:
gcloud beta dataproc jobs submit pyspark --cluster=my-cluster my_script.py -- --custom-flagTo submit a Spark job that runs a script that is already on the cluster, run:
gcloud beta dataproc jobs submit pyspark --cluster=my-cluster file:///usr/lib/spark/examples/src/main/python/pi.py -- 100 - 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
-
-
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.
-
Exactly one of these must be specified:
- 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 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
--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 PySpark. 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
--propertiesand--properties-file, the value defined in--propertiestakes precedence. --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-
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/regionproperty 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 helpfor details. - NOTES
-
This command is currently in beta and might change without notice. These
variants are also available:
gcloud dataproc jobs submit pysparkgcloud alpha dataproc jobs submit pyspark
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-02-06 UTC.