- NAME
-
- gcloud alpha dataproc workflow-templates add-job pyspark - add a PySpark job to the workflow template
- SYNOPSIS
-
-
gcloud alpha dataproc workflow-templates add-job pyspark
PY_FILE
--step-id
=STEP_ID
(--workflow-template
=WORKFLOW_TEMPLATE
:--region
=REGION
) [--archives
=[ARCHIVE
,…]] [--driver-log-levels
=[PACKAGE
=LEVEL
,…]] [--files
=[FILE
,…]] [--jars
=[JAR
,…]] [--labels
=[KEY
=VALUE
,…]] [--properties
=[PROPERTY
=VALUE
,…]] [--properties-file
=PROPERTIES_FILE
] [--py-files
=[PY_FILE
,…]] [--start-after
=STEP_ID
,[STEP_ID
,…]] [GCLOUD_WIDE_FLAG …
] [--JOB_ARGS
…]
-
- DESCRIPTION
-
(ALPHA)
Add a PySpark job to the workflow template. - EXAMPLES
-
To add a PySpark job with archives 'archive1.tgz' and 'archive2.zip' to a the
workflow template 'my-workflow-template' in region 'us-central1' with step-id
'my-step-id', run:
gcloud alpha dataproc workflow-templates add-job pyspark --step-id=my-step_id --archives="archive1.tgz,archive2.zip" --workflow-template=my-workflow-template --region=us-central1
- 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
-
--step-id
=STEP_ID
- The step ID of the job in the workflow template.
-
Template resource - The name of the workflow template to add job to. The
arguments in this group can be used to specify the attributes of this resource.
(NOTE) Some attributes are not given arguments in this group but can be set in
other ways.
To set the
project
attribute:-
provide the argument
--workflow-template
on the command line with a fully specified name; -
provide the argument
--project
on the command line; -
set the property
core/project
.
This must be specified.
--workflow-template
=WORKFLOW_TEMPLATE
-
ID of the template or fully qualified identifier for the template.
To set the
template
attribute:-
provide the argument
--workflow-template
on the command line.
This flag argument must be specified if any of the other arguments in this group are specified.
-
provide the argument
--region
=REGION
-
Dataproc region for the template. 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.To set the
region
attribute:-
provide the argument
--workflow-template
on the command line with a fully specified name; -
provide the argument
--region
on the command line; -
set the property
dataproc/region
.
-
provide the argument
-
provide the argument
- 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.
--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 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. --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".
--start-after
=STEP_ID
,[STEP_ID
,…]- (Optional) List of step IDs to start this job after.
- 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 workflow-templates add-job pyspark
gcloud beta dataproc workflow-templates add-job 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.
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