gcloud alpha dataproc workflow-templates set-managed-cluster - set a managed cluster for the workflow template
gcloud alpha dataproc workflow-templates set-managed-cluster (TEMPLATE : --region=REGION) --autoscaling-policy=AUTOSCALING_POLICY [--no-address] [--bucket=BUCKET] [--cluster-name=CLUSTER_NAME] [--dataproc-metastore=DATAPROC_METASTORE] [--enable-component-gateway] [--initialization-action-timeout=TIMEOUT; default="10m"] [--initialization-actions=CLOUD_STORAGE_URI,[...]] [--labels=[KEY=VALUE,...]] [--master-accelerator=[type=TYPE,[count=COUNT],...]] [--master-boot-disk-size=MASTER_BOOT_DISK_SIZE] [--master-boot-disk-type=MASTER_BOOT_DISK_TYPE] [--master-local-ssd-interface=MASTER_LOCAL_SSD_INTERFACE] [--master-machine-type=MASTER_MACHINE_TYPE] [--master-min-cpu-platform=PLATFORM] [--node-group=NODE_GROUP] [--num-master-local-ssds=NUM_MASTER_LOCAL_SSDS] [--num-masters=NUM_MASTERS] [--num-secondary-worker-local-ssds=NUM_SECONDARY_WORKER_LOCAL_SSDS] [--num-worker-local-ssds=NUM_WORKER_LOCAL_SSDS] [--optional-components=[COMPONENT,...]] [--private-ipv6-google-access-type=PRIVATE_IPV6_GOOGLE_ACCESS_TYPE] [--properties=[PREFIX:PROPERTY=VALUE,...]] [--secondary-worker-accelerator=[type=TYPE,[count=COUNT],...]] [--secondary-worker-boot-disk-size=SECONDARY_WORKER_BOOT_DISK_SIZE] [--secondary-worker-boot-disk-type=SECONDARY_WORKER_BOOT_DISK_TYPE] [--secondary-worker-local-ssd-interface=SECONDARY_WORKER_LOCAL_SSD_INTERFACE] [--shielded-integrity-monitoring] [--shielded-secure-boot] [--shielded-vtpm] [--temp-bucket=TEMP_BUCKET] [--worker-accelerator=[type=TYPE,[count=COUNT],...]] [--worker-boot-disk-size=WORKER_BOOT_DISK_SIZE] [--worker-boot-disk-type=WORKER_BOOT_DISK_TYPE] [--worker-local-ssd-interface=WORKER_LOCAL_SSD_INTERFACE] [--worker-machine-type=WORKER_MACHINE_TYPE] [--worker-min-cpu-platform=PLATFORM] [--zone=ZONE, -z ZONE] [--image=IMAGE | --image-version=VERSION] [--kerberos-config-file=KERBEROS_CONFIG_FILE | --enable-kerberos --kerberos-root-principal-password-uri=KERBEROS_ROOT_PRINCIPAL_PASSWORD_URI [--kerberos-kms-key=KERBEROS_KMS_KEY : --kerberos-kms-key-keyring=KERBEROS_KMS_KEY_KEYRING --kerberos-kms-key-location=KERBEROS_KMS_KEY_LOCATION --kerberos-kms-key-project=KERBEROS_KMS_KEY_PROJECT]] [--metadata=KEY=VALUE,[KEY=VALUE,...] --scopes=SCOPE,[SCOPE,...] --service-account=SERVICE_ACCOUNT --tags=TAG,[TAG,...] --network=NETWORK | --subnet=SUBNET --reservation=RESERVATION --reservation-affinity=RESERVATION_AFFINITY; default="any"] [--single-node | --num-secondary-workers=NUM_SECONDARY_WORKERS --num-workers=NUM_WORKERS --secondary-worker-type=TYPE; default="preemptible"] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Set a managed cluster for the workflow template.
To update managed cluster in a workflow template, run:
$ gcloud alpha dataproc workflow-templates set-managed-cluster \ my_template --region=us-central1 --no-address --num-workers=10 \ --worker-machine-type=custom-6-23040
- Template resource - The name of the workflow template to set managed cluster.
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 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.
- TEMPLATE
ID of the template or fully qualified identifier for the template. To set the template attribute:
provide the argument template on the command line.
This positional argument must be specified if any of the other arguments in this group are specified.
- --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 template on the command line with a fully specified name;
provide the argument --region on the command line;
set the property dataproc/region.
- --autoscaling-policy=AUTOSCALING_POLICY
ID of the autoscaling policy or fully qualified identifier for the autoscaling policy. To set the autoscaling_policy attribute:
- —
provide the argument --autoscaling-policy on the command line.
- --no-address
If provided, the instances in the cluster will not be assigned external IP addresses.
If omitted the instances in the cluster will each be assigned an ephemeral external IP address.
Note: Dataproc VMs need access to the Dataproc API. This can be achieved without external IP addresses using Private Google Access https://cloud.google.com/compute/docs/private-google-access.
- --bucket=BUCKET
The Google Cloud Storage bucket to use by default to stage job dependencies, miscellaneous config files, and job driver console output when using this cluster.
- --cluster-name=CLUSTER_NAME
The name of the managed dataproc cluster. If unspecified, the workflow template ID will be used.
- --dataproc-metastore=DATAPROC_METASTORE
Specify the name of a Dataproc Metastore service to be used as an external metastore in the format: "projects/{project-id}/locations/{region}/services/{service-name}".
- --enable-component-gateway
Enable access to the web UIs of selected components on the cluster through the component gateway.
- --initialization-action-timeout=TIMEOUT; default="10m"
The maximum duration of each initialization action. See $ gcloud topic datetimes for information on duration formats.
- --initialization-actions=CLOUD_STORAGE_URI,[...]
A list of Google Cloud Storage URIs of executables to run on each node in the 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.
- --master-accelerator=[type=TYPE,[count=COUNT],...]
Attaches accelerators, such as GPUs, to the master instance(s).
- type
The specific type of accelerator to attach to the instances, such as nvidia-tesla-k80 for NVIDIA Tesla K80. Use gcloud compute accelerator-types list to display available accelerator types.
- count
The number of accelerators to attach to each instance. The default value is 1.
- --master-boot-disk-size=MASTER_BOOT_DISK_SIZE
The size of the boot disk. The value must be a whole number followed by a size unit of KB for kilobyte, MB for megabyte, GB for gigabyte, or TB for terabyte. For example, 10GB will produce a 10 gigabyte disk. The minimum size a boot disk can have is 10 GB. Disk size must be a multiple of 1 GB.
- --master-boot-disk-type=MASTER_BOOT_DISK_TYPE
The type of the boot disk. The value must be pd-balanced, pd-ssd, or pd-standard.
- --master-local-ssd-interface=MASTER_LOCAL_SSD_INTERFACE
Interface to use to attach local SSDs to master node(s) in a cluster.
- --master-machine-type=MASTER_MACHINE_TYPE
The type of machine to use for the master. Defaults to server-specified.
- --master-min-cpu-platform=PLATFORM
When specified, the VM is scheduled on the host with a specified CPU architecture or a more recent CPU platform that's available in that zone. To list available CPU platforms in a zone, run:
$ gcloud compute zones describe ZONE
CPU platform selection may not be available in a zone. Zones that support CPU platform selection provide an availableCpuPlatforms field, which contains the list of available CPU platforms in the zone (see Availability of CPU platforms for more information).
- --node-group=NODE_GROUP
The name of the sole-tenant node group to create the cluster on. Can be a short name ("node-group-name") or in the format "projects/{project-id}/zones/{zone}/nodeGroups/{node-group-name}".
- --num-master-local-ssds=NUM_MASTER_LOCAL_SSDS
The number of local SSDs to attach to the master in a cluster.
- --num-masters=NUM_MASTERS
The number of master nodes in the cluster.
Number of Masters Cluster Mode 1 Standard 3 High Availability
- --num-secondary-worker-local-ssds=NUM_SECONDARY_WORKER_LOCAL_SSDS
The number of local SSDs to attach to each preemptible worker in a cluster.
- --num-worker-local-ssds=NUM_WORKER_LOCAL_SSDS
The number of local SSDs to attach to each worker in a cluster.
- --optional-components=[COMPONENT,...]
List of optional components to be installed on cluster machines.
The following page documents the optional components that can be installed: https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/optional-components.
- --private-ipv6-google-access-type=PRIVATE_IPV6_GOOGLE_ACCESS_TYPE
The private IPv6 Google access type for the cluster. PRIVATE_IPV6_GOOGLE_ACCESS_TYPE must be one of: inherit-subnetwork, outbound, bidirectional.
- --properties=[PREFIX:PROPERTY=VALUE,...]
Specifies configuration properties for installed packages, such as Hadoop and Spark.
Properties are mapped to configuration files by specifying a prefix, such as "core:io.serializations". The following are supported prefixes and their mappings:
Prefix File Purpose of file capacity-scheduler capacity-scheduler.xml Hadoop YARN Capacity Scheduler configuration core core-site.xml Hadoop general configuration distcp distcp-default.xml Hadoop Distributed Copy configuration hadoop-env hadoop-env.sh Hadoop specific environment variables hdfs hdfs-site.xml Hadoop HDFS configuration hive hive-site.xml Hive configuration mapred mapred-site.xml Hadoop MapReduce configuration mapred-env mapred-env.sh Hadoop MapReduce specific environment variables pig pig.properties Pig configuration spark spark-defaults.conf Spark configuration spark-env spark-env.sh Spark specific environment variables yarn yarn-site.xml Hadoop YARN configuration yarn-env yarn-env.sh Hadoop YARN specific environment variables See https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/cluster-properties for more information.
- --secondary-worker-accelerator=[type=TYPE,[count=COUNT],...]
Attaches accelerators, such as GPUs, to the secondary-worker instance(s).
- type
The specific type of accelerator to attach to the instances, such as nvidia-tesla-k80 for NVIDIA Tesla K80. Use gcloud compute accelerator-types list to display available accelerator types.
- count
The number of accelerators to attach to each instance. The default value is 1.
- --secondary-worker-boot-disk-size=SECONDARY_WORKER_BOOT_DISK_SIZE
The size of the boot disk. The value must be a whole number followed by a size unit of KB for kilobyte, MB for megabyte, GB for gigabyte, or TB for terabyte. For example, 10GB will produce a 10 gigabyte disk. The minimum size a boot disk can have is 10 GB. Disk size must be a multiple of 1 GB.
- --secondary-worker-boot-disk-type=SECONDARY_WORKER_BOOT_DISK_TYPE
The type of the boot disk. The value must be pd-balanced, pd-ssd, or pd-standard.
- --secondary-worker-local-ssd-interface=SECONDARY_WORKER_LOCAL_SSD_INTERFACE
Interface to use to attach local SSDs to each secondary worker in a cluster.
- --shielded-integrity-monitoring
Enables monitoring and attestation of the boot integrity of the cluster's VMs. vTPM (virtual Trusted Platform Module) must also be enabled. A TPM is a hardware module that can be used for different security operations, such as remote attestation, encryption, and sealing of keys.
- --shielded-secure-boot
The cluster's VMs will boot with secure boot enabled.
- --shielded-vtpm
The cluster's VMs will boot with the TPM (Trusted Platform Module) enabled. A TPM is a hardware module that can be used for different security operations, such as remote attestation, encryption, and sealing of keys.
- --temp-bucket=TEMP_BUCKET
The Google Cloud Storage bucket to use by default to store ephemeral cluster and jobs data, such as Spark and MapReduce history files.
- --worker-accelerator=[type=TYPE,[count=COUNT],...]
Attaches accelerators, such as GPUs, to the worker instance(s).
- type
The specific type of accelerator to attach to the instances, such as nvidia-tesla-k80 for NVIDIA Tesla K80. Use gcloud compute accelerator-types list to display available accelerator types.
- count
The number of accelerators to attach to each instance. The default value is 1.
- --worker-boot-disk-size=WORKER_BOOT_DISK_SIZE
The size of the boot disk. The value must be a whole number followed by a size unit of KB for kilobyte, MB for megabyte, GB for gigabyte, or TB for terabyte. For example, 10GB will produce a 10 gigabyte disk. The minimum size a boot disk can have is 10 GB. Disk size must be a multiple of 1 GB.
- --worker-boot-disk-type=WORKER_BOOT_DISK_TYPE
The type of the boot disk. The value must be pd-balanced, pd-ssd, or pd-standard.
- --worker-local-ssd-interface=WORKER_LOCAL_SSD_INTERFACE
Interface to use to attach local SSDs to each worker in a cluster.
- --worker-machine-type=WORKER_MACHINE_TYPE
The type of machine to use for workers. Defaults to server-specified.
- --worker-min-cpu-platform=PLATFORM
When specified, the VM is scheduled on the host with a specified CPU architecture or a more recent CPU platform that's available in that zone. To list available CPU platforms in a zone, run:
$ gcloud compute zones describe ZONE
CPU platform selection may not be available in a zone. Zones that support CPU platform selection provide an availableCpuPlatforms field, which contains the list of available CPU platforms in the zone (see Availability of CPU platforms for more information).
- --zone=ZONE, -z ZONE
The compute zone (e.g. us-central1-a) for the cluster. If empty and --region is set to a value other than global, the server will pick a zone in the region. Overrides the default compute/zone property value for this command invocation.
- At most one of these can be specified:
- --image=IMAGE
The custom image used to create the cluster. It can be the image name, the image URI, or the image family URI, which selects the latest image from the family.
- --image-version=VERSION
The image version to use for the cluster. Defaults to the latest version.
- Specifying these flags will enable Kerberos for the cluster.
At most one of these can be specified:
- --kerberos-config-file=KERBEROS_CONFIG_FILE
Path to a YAML (or JSON) file containing the configuration for Kerberos on the cluster. If you pass - as the value of the flag the file content will be read from stdin.
The YAML file is formatted as follows:
# Optional. Flag to indicate whether to Kerberize the cluster. # The default value is true. enable_kerberos: true
# Optional. The Google Cloud Storage URI of a KMS encrypted file # containing the root principal password. root_principal_password_uri: gs://bucket/password.encrypted
# Optional. The URI of the Cloud KMS key used to encrypt # sensitive files. kms_key_uri: projects/myproject/locations/global/keyRings/mykeyring/cryptoKeys/my-key
# Configuration of SSL encryption. If specified, all sub-fields # are required. Otherwise, Dataproc will provide a self-signed # certificate and generate the passwords. ssl: # Optional. The Google Cloud Storage URI of the keystore file. keystore_uri: gs://bucket/keystore.jks
# Optional. The Google Cloud Storage URI of a KMS encrypted # file containing the password to the keystore. keystore_password_uri: gs://bucket/keystore_password.encrypted
# Optional. The Google Cloud Storage URI of a KMS encrypted # file containing the password to the user provided key. key_password_uri: gs://bucket/key_password.encrypted
# Optional. The Google Cloud Storage URI of the truststore # file. truststore_uri: gs://bucket/truststore.jks
# Optional. The Google Cloud Storage URI of a KMS encrypted # file containing the password to the user provided # truststore. truststore_password_uri: gs://bucket/truststore_password.encrypted
# Configuration of cross realm trust. cross_realm_trust: # Optional. The remote realm the Dataproc on-cluster KDC will # trust, should the user enable cross realm trust. realm: REMOTE.REALM
# Optional. The KDC (IP or hostname) for the remote trusted # realm in a cross realm trust relationship. kdc: kdc.remote.realm
# Optional. The admin server (IP or hostname) for the remote # trusted realm in a cross realm trust relationship. admin_server: admin-server.remote.realm
# Optional. The Google Cloud Storage URI of a KMS encrypted # file containing the shared password between the on-cluster # Kerberos realm and the remote trusted realm, in a cross # realm trust relationship. shared_password_uri: gs://bucket/cross-realm.password.encrypted
# Optional. The Google Cloud Storage URI of a KMS encrypted file # containing the master key of the KDC database. kdc_db_key_uri: gs://bucket/kdc_db_key.encrypted
# Optional. The lifetime of the ticket granting ticket, in # hours. If not specified, or user specifies 0, then default # value 10 will be used. tgt_lifetime_hours: 1
# Optional. The name of the Kerberos realm. If not specified, # the uppercased domain name of the cluster will be used. realm: REALM.NAME
- --enable-kerberos
Enable Kerberos on the cluster.
- --kerberos-root-principal-password-uri=KERBEROS_ROOT_PRINCIPAL_PASSWORD_URI
Google Cloud Storage URI of a KMS encrypted file containing the root principal password. Must be a Cloud Storage URL beginning with 'gs://'.
- Key resource - The Cloud KMS (Key Management Service) cryptokey that will be
used to protect the password. The 'Compute Engine Service Agent' service account must hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'. The arguments in this group can be used to specify the attributes of this resource.
- --kerberos-kms-key=KERBEROS_KMS_KEY
ID of the key or fully qualified identifier for the key. To set the kms-key attribute:
- —
provide the argument --kerberos-kms-key on the command line.
This flag argument must be specified if any of the other arguments in this group are specified.
- --kerberos-kms-key-keyring=KERBEROS_KMS_KEY_KEYRING
The KMS keyring of the key. To set the kms-keyring attribute:
- —
provide the argument --kerberos-kms-key on the command line with a fully specified name;
- —
provide the argument --kerberos-kms-key-keyring on the command line.
- --kerberos-kms-key-location=KERBEROS_KMS_KEY_LOCATION
The Cloud location for the key. To set the kms-location attribute:
- —
provide the argument --kerberos-kms-key on the command line with a fully specified name;
- —
provide the argument --kerberos-kms-key-location on the command line.
- --kerberos-kms-key-project=KERBEROS_KMS_KEY_PROJECT
The Cloud project for the key. To set the kms-project attribute:
- —
provide the argument --kerberos-kms-key on the command line with a fully specified name;
- —
provide the argument --kerberos-kms-key-project on the command line;
- —
set the property core/project.
- Compute Engine options for Dataproc clusters.
- --metadata=KEY=VALUE,[KEY=VALUE,...]
Metadata to be made available to the guest operating system running on the instances
- --scopes=SCOPE,[SCOPE,...]
Specifies scopes for the node instances. Multiple SCOPEs can be specified, separated by commas. Examples:
$ gcloud alpha dataproc workflow-templates set-managed-cluster \ example-cluster \ --scopes https://www.googleapis.com/auth/bigtable.admin
$ gcloud alpha dataproc workflow-templates set-managed-cluster \ example-cluster --scopes sqlservice,bigquery
The following minimum scopes are necessary for the cluster to function properly and are always added, even if not explicitly specified:
https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/logging.write
If the --scopes flag is not specified, the following default scopes are also included:
https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigtable.admin.table https://www.googleapis.com/auth/bigtable.data https://www.googleapis.com/auth/devstorage.full_control
If you want to enable all scopes use the 'cloud-platform' scope.
SCOPE can be either the full URI of the scope or an alias. Default scopes are assigned to all instances. Available aliases are:
DEPRECATION WARNING: https://www.googleapis.com/auth/sqlservice account scope and sql alias do not provide SQL instance management capabilities and have been deprecated. Please, use https://www.googleapis.com/auth/sqlservice.admin or sql-admin to manage your Google SQL Service instances.
- --service-account=SERVICE_ACCOUNT
The Google Cloud IAM service account to be authenticated as.
- --tags=TAG,[TAG,...]
Specifies a list of tags to apply to the instance. These tags allow network firewall rules and routes to be applied to specified VM instances. See gcloud compute firewall-rules create(1) for more details.
To read more about configuring network tags, read this guide: https://cloud.google.com/vpc/docs/add-remove-network-tags
To list instances with their respective status and tags, run:
$ gcloud compute instances list \ --format='table(name,status,tags.list())'
To list instances tagged with a specific tag, tag1, run:
$ gcloud compute instances list --filter='tags:tag1'
- At most one of these can be specified:
- --network=NETWORK
The Compute Engine network that the VM instances of the cluster will be part of. This is mutually exclusive with --subnet. If neither is specified, this defaults to the "default" network.
- --subnet=SUBNET
Specifies the subnet that the cluster will be part of. This is mutally exclusive with --network.
- Specifies the reservation for the instance.
- --reservation=RESERVATION
The name of the reservation, required when --reservation-affinity=specific.
- --reservation-affinity=RESERVATION_AFFINITY; default="any"
The type of reservation for the instance. RESERVATION_AFFINITY must be one of: any, none, specific.
- At most one of these can be specified:
- --single-node
Create a single node cluster.
A single node cluster has all master and worker components. It cannot have any separate worker nodes. If this flag is not specified, a cluster with separate workers is created.
- Multi-node cluster flags
- --num-secondary-workers=NUM_SECONDARY_WORKERS
The number of secondary worker nodes in the cluster.
- --num-workers=NUM_WORKERS
The number of worker nodes in the cluster. Defaults to server-specified.
- --secondary-worker-type=TYPE; default="preemptible"
The type of the secondary worker group. TYPE must be one of: preemptible, non-preemptible, spot.
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.
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 set-managed-cluster
$ gcloud beta dataproc workflow-templates set-managed-cluster