gcloud dataflow jobs run

NAME
gcloud dataflow jobs run - runs a job from the specified path
SYNOPSIS
gcloud dataflow jobs run JOB_NAME --gcs-location = GCS_LOCATION [ --additional-experiments =[ ADDITIONAL_EXPERIMENTS , …]] [ --additional-user-labels =[ ADDITIONAL_USER_LABELS , …]] [ --dataflow-kms-key = DATAFLOW_KMS_KEY ] [ --disable-public-ips ] [ --enable-streaming-engine ] [ --max-workers = MAX_WORKERS ] [ --network = NETWORK ] [ --num-workers = NUM_WORKERS ] [ --parameters =[ PARAMETERS , …]] [ --region = REGION_ID ] [ --service-account-email = SERVICE_ACCOUNT_EMAIL ] [ --staging-location = STAGING_LOCATION ] [ --subnetwork = SUBNETWORK ] [ --worker-machine-type = WORKER_MACHINE_TYPE ] [[ --[no-]update : --transform-name-mappings =[ TRANSFORM_NAME_MAPPINGS , …]]] [ --worker-region = WORKER_REGION     | --worker-zone = WORKER_ZONE     | --zone = ZONE ] [ GCLOUD_WIDE_FLAG ]
DESCRIPTION
Runs a job from the specified path.
POSITIONAL ARGUMENTS
JOB_NAME
The unique name to assign to the job.
REQUIRED FLAGS
--gcs-location = GCS_LOCATION
The Google Cloud Storage location of the job template to run. (Must be a URL beginning with 'gs://'.)
OPTIONAL FLAGS
--additional-experiments =[ ADDITIONAL_EXPERIMENTS ,…]
Additional experiments to pass to the job. These experiments are appended to any experiments already set by the template.
--additional-user-labels =[ ADDITIONAL_USER_LABELS ,…]
Additional user labels to pass to the job. Example: --additional-user-labels='key1=value1,key2=value2'
--dataflow-kms-key = DATAFLOW_KMS_KEY
The Cloud KMS key to protect the job resources.
--disable-public-ips
The Cloud Dataflow workers must not use public IP addresses. Overrides the default dataflow/disable_public_ips property value for this command invocation.
--enable-streaming-engine
Enabling Streaming Engine for the streaming job. Overrides the default dataflow/enable_streaming_engine property value for this command invocation.
--max-workers = MAX_WORKERS
The maximum number of workers to run.
--network = NETWORK
The Compute Engine network for launching instances to run your pipeline.
--num-workers = NUM_WORKERS
The initial number of workers to use.
--parameters =[ PARAMETERS ,…]
The parameters to pass to the job.
--region = REGION_ID
Region ID of the job's regional endpoint. Defaults to 'us-central1'.
The service account to run the workers as.
--staging-location = STAGING_LOCATION
The Google Cloud Storage location to stage temporary files. (Must be a URL beginning with 'gs://'.)
--subnetwork = SUBNETWORK
The Compute Engine subnetwork for launching instances to run your pipeline.
--worker-machine-type = WORKER_MACHINE_TYPE
The type of machine to use for workers. Defaults to server-specified.
--[no-]update
Set this to true for streaming update jobs. Use --update to enable and --no-update to disable.
--transform-name-mappings =[ TRANSFORM_NAME_MAPPINGS ,…]
Transform name mappings for the streaming update job.
Worker location options.

At most one of these can be specified:

--worker-region = WORKER_REGION
The region to run the workers in.
--worker-zone = WORKER_ZONE
The zone to run the workers in.
--zone = ZONE
(DEPRECATED) The zone to run the workers in.

The --zone option is deprecated; use --worker-region or --worker-zone instead.

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 variant is also available:
  gcloud  
beta  
dataflow  
 jobs 
  
run 
 
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