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https://github.com/imjasonh/gcloud-help
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238 lines
9.5 KiB
Text
238 lines
9.5 KiB
Text
NAME
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gcloud dataproc clusters update - update labels and/or the number of worker
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nodes in a cluster
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SYNOPSIS
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gcloud dataproc clusters update (CLUSTER : --region=REGION) [--async]
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[--graceful-decommission-timeout=GRACEFUL_DECOMMISSION_TIMEOUT]
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[--min-secondary-worker-fraction=MIN_SECONDARY_WORKER_FRACTION]
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[--num-secondary-workers=NUM_SECONDARY_WORKERS]
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[--num-workers=NUM_WORKERS] [--update-labels=[KEY=VALUE,...]]
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[--autoscaling-policy=AUTOSCALING_POLICY | --disable-autoscaling]
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[--clear-labels | --remove-labels=[KEY,...]]
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[--delete-expiration-time=DELETE_EXPIRATION_TIME
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| --delete-max-age=DELETE_MAX_AGE | --no-delete-max-age]
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[--delete-max-idle=DELETE_MAX_IDLE | --no-delete-max-idle]
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[--stop-expiration-time=STOP_EXPIRATION_TIME
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| --stop-max-age=STOP_MAX_AGE | --no-stop-max-age]
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[--stop-max-idle=STOP_MAX_IDLE | --no-stop-max-idle]
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[GCLOUD_WIDE_FLAG ...]
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DESCRIPTION
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Update the number of worker nodes and/or the labels in a cluster.
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EXAMPLES
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To resize a cluster, run:
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$ gcloud dataproc clusters update my-cluster --region=us-central1 \
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--num-workers=5
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To change the number preemptible workers in a cluster, run:
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$ gcloud dataproc clusters update my-cluster --region=us-central1 \
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--num-preemptible-workers=5
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To add the label 'customer=acme' to a cluster, run:
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$ gcloud dataproc clusters update my-cluster --region=us-central1 \
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--update-labels=customer=acme
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To update the label 'customer=ackme' to 'customer=acme', run:
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$ gcloud dataproc clusters update my-cluster --region=us-central1 \
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--update-labels=customer=acme
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To remove the label whose key is 'customer', run:
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$ gcloud dataproc clusters update my-cluster --region=us-central1 \
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--remove-labels=customer
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POSITIONAL ARGUMENTS
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Cluster resource - The name of the cluster to update. The arguments in
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this group can be used to specify the attributes of this resource. (NOTE)
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Some attributes are not given arguments in this group but can be set in
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other ways.
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To set the project attribute:
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◆ provide the argument cluster on the command line with a fully
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specified name;
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◆ provide the argument --project on the command line;
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◆ set the property core/project.
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This must be specified.
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CLUSTER
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ID of the cluster or fully qualified identifier for the cluster.
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To set the cluster attribute:
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▸ provide the argument cluster on the command line.
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This positional argument must be specified if any of the other
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arguments in this group are specified.
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--region=REGION
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Dataproc region for the cluster. Each Dataproc region constitutes an
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independent resource namespace constrained to deploying instances
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into Compute Engine zones inside the region. Overrides the default
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dataproc/region property value for this command invocation.
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To set the region attribute:
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▸ provide the argument cluster on the command line with a fully
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specified name;
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▸ provide the argument --region on the command line;
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▸ set the property dataproc/region.
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FLAGS
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--async
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Return immediately, without waiting for the operation in progress to
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complete.
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--graceful-decommission-timeout=GRACEFUL_DECOMMISSION_TIMEOUT
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The graceful decommission timeout for decommissioning Node Managers in
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the cluster, used when removing nodes. Graceful decommissioning allows
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removing nodes from the cluster without interrupting jobs in progress.
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Timeout specifies how long to wait for jobs in progress to finish
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before forcefully removing nodes (and potentially interrupting jobs).
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Timeout defaults to 0 if not set (for forceful decommission), and the
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maximum allowed timeout is 1 day. See $ gcloud topic datetimes for
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information on duration formats.
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--min-secondary-worker-fraction=MIN_SECONDARY_WORKER_FRACTION
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Minimum fraction of new secondary worker nodes added in a scale up
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update operation, required to update the cluster. If it is not met,
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cluster updation will rollback the addition of secondary workers. Must
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be a decimal value between 0 and 1. Defaults to 0.0001.
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--num-secondary-workers=NUM_SECONDARY_WORKERS
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The new number of secondary worker nodes in the cluster.
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--num-workers=NUM_WORKERS
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The new number of worker nodes in the cluster.
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--update-labels=[KEY=VALUE,...]
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List of label KEY=VALUE pairs to update. If a label exists, its value
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is modified. Otherwise, a new label is created.
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Keys must start with a lowercase character and contain only hyphens
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(-), underscores (_), lowercase characters, and numbers. Values must
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contain only hyphens (-), underscores (_), lowercase characters, and
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numbers.
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At most one of these can be specified:
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Autoscaling policy resource - The autoscaling policy to use. This
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represents a Cloud resource. (NOTE) Some attributes are not given
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arguments in this group but can be set in other ways.
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To set the project attribute:
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▸ provide the argument --autoscaling-policy on the command line with
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a fully specified name;
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▸ provide the argument --project on the command line;
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▸ set the property core/project.
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To set the region attribute:
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▸ provide the argument --autoscaling-policy on the command line with
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a fully specified name;
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▸ provide the argument --region on the command line;
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▸ set the property dataproc/region.
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--autoscaling-policy=AUTOSCALING_POLICY
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ID of the autoscaling policy or fully qualified identifier for the
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autoscaling policy.
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To set the autoscaling_policy attribute:
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▫ provide the argument --autoscaling-policy on the command line.
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--disable-autoscaling
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Disable autoscaling, if it is enabled. This is an alias for passing
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the empty string to --autoscaling-policy'.
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At most one of these can be specified:
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--clear-labels
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Remove all labels. If --update-labels is also specified then
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--clear-labels is applied first.
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For example, to remove all labels:
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$ gcloud dataproc clusters update --clear-labels
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To remove all existing labels and create two new labels, foo and baz:
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$ gcloud dataproc clusters update --clear-labels \
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--update-labels foo=bar,baz=qux
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--remove-labels=[KEY,...]
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List of label keys to remove. If a label does not exist it is
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silently ignored. If --update-labels is also specified then
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--update-labels is applied first.
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At most one of these can be specified:
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--delete-expiration-time=DELETE_EXPIRATION_TIME
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The time when the cluster will be auto-deleted, such as
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"2017-08-29T18:52:51.142Z". See $ gcloud topic datetimes for
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information on time formats.
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--delete-max-age=DELETE_MAX_AGE
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The lifespan of the cluster with auto-deletion upon completion, such
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as "2h" or "1d". See $ gcloud topic datetimes for information on
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duration formats.
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--no-delete-max-age
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Cancels the cluster auto-deletion by maximum cluster age (configured
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by --delete-max-age or --delete-expiration-time flags)
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At most one of these can be specified:
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--delete-max-idle=DELETE_MAX_IDLE
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The duration after the last job completes to auto-delete the cluster,
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such as "2h" or "1d". See $ gcloud topic datetimes for information on
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duration formats.
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--no-delete-max-idle
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Cancels the cluster auto-deletion by cluster idle duration
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(configured by --delete-max-idle flag)
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At most one of these can be specified:
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--stop-expiration-time=STOP_EXPIRATION_TIME
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The time when the cluster will be auto-stopped, such as
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"2017-08-29T18:52:51.142Z". See $ gcloud topic datetimes for
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information on time formats.
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--stop-max-age=STOP_MAX_AGE
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The lifespan of the cluster, with auto-stop upon completion, such as
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"2h" or "1d". See $ gcloud topic datetimes for information on
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duration formats.
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--no-stop-max-age
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Cancels the cluster auto-stop by maximum cluster age (configured by
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--stop-max-age or --stop-expiration-time flags)
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At most one of these can be specified:
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--stop-max-idle=STOP_MAX_IDLE
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The duration after the last job completes to auto-stop the cluster,
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such as "2h" or "1d". See $ gcloud topic datetimes for information on
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duration formats.
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--no-stop-max-idle
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Cancels the cluster auto-stop by cluster idle duration (configured by
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--stop-max-idle flag)
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --access-token-file, --account,
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--billing-project, --configuration, --flags-file, --flatten, --format,
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--help, --impersonate-service-account, --log-http, --project, --quiet,
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--trace-token, --user-output-enabled, --verbosity.
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Run $ gcloud help for details.
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NOTES
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These variants are also available:
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$ gcloud alpha dataproc clusters update
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$ gcloud beta dataproc clusters update
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