gcloud alpha managed-flink jobs update

NAME: gcloud alpha managed-flink jobs update - update the parallelism of a Flink job
SYNOPSIS: gcloud alpha managed-flink jobs update JOBID --location=LOCATION [--project=PROJECT_ID] [--async] [--autotuning-mode=AUTOTUNING_MODE; default="elastic"] [--deployment=DEPLOYMENT_NAME] [--enable-output] [--max-parallelism=MAX_PARALLELISM] [--min-parallelism=MIN_PARALLELISM] [--parallelism=PARALLELISM] [GCLOUD_WIDE_FLAG …]
DESCRIPTION: (ALPHA) Update the parallelism of a Flink job.
EXAMPLES: The following command updates a Flink Job with the ID example-job-id to change max parallesim to 4:
POSITIONAL ARGUMENTS: JOBID

The id of the job.
REQUIRED FLAGS: --location=LOCATION

The location to run the job in.
COMMONLY USED FLAGS: --project=PROJECT_ID

Project to update the job in. Overrides the default core/project property value for this command invocation.
OTHER FLAGS: --async

Return immediately after job submission.

--autotuning-mode=AUTOTUNING_MODE; default="elastic"

Selects the autotuning mode for jobs. AUTOTUNING_MODE must be one of:

elastic

The number of taskmanagers is scaled automatically according to workload.

fixed

The number of taskmanagers is fixed.

--deployment=DEPLOYMENT_NAME

Deployment to update the job in.

--enable-output

Shows the output of the Flink client.

--max-parallelism=MAX_PARALLELISM

The maximum parallelism of the job when in "elastic" autotuning mode.

--min-parallelism=MIN_PARALLELISM

The minimum parallelism of the job when in "elastic" autotuning mode. This will also be the initial parallelism of the job.

--parallelism=PARALLELISM

The parallelism of the job when in "fixed" autotuning mode.
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.