- NAME
-
- gcloud dataproc jobs submit pyspark - submit a PySpark job to a cluster
- SYNOPSIS
-
-
gcloud dataproc jobs submit pyspark
PY_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
- Submit a PySpark job to a cluster.
- EXAMPLES
-
To submit a PySpark job with a local script and custom flags, run:
gcloud 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 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
--properties
and--properties-file
, the value defined in--properties
takes 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/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 pyspark
gcloud beta dataproc jobs submit pyspark
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Last updated 2024-02-06 UTC.