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][--bucket=BUCKET][--cluster-name=CLUSTER_NAME][--cluster-type=TYPE][--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-provisioned-iops=MASTER_BOOT_DISK_PROVISIONED_IOPS][--master-boot-disk-provisioned-throughput=MASTER_BOOT_DISK_PROVISIONED_THROUGHPUT][--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][--min-secondary-worker-fraction=MIN_SECONDARY_WORKER_FRACTION][--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][--secondary-worker-machine-types=type=MACHINE_TYPE[,type=MACHINE_TYPE…][,rank=RANK]][--secondary-worker-standard-capacity-base=SECONDARY_WORKER_STANDARD_CAPACITY_BASE][--secondary-worker-standard-capacity-percent-above-base=SECONDARY_WORKER_STANDARD_CAPACITY_PERCENT_ABOVE_BASE][--shielded-integrity-monitoring][--shielded-secure-boot][--shielded-vtpm][--temp-bucket=TEMP_BUCKET][--tier=TIER][--worker-accelerator=[type=TYPE,[count=COUNT],…]][--worker-boot-disk-provisioned-iops=WORKER_BOOT_DISK_PROVISIONED_IOPS][--worker-boot-disk-provisioned-throughput=WORKER_BOOT_DISK_PROVISIONED_THROUGHPUT][--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-min-cpu-platform=PLATFORM][--zone=ZONE,-zZONE][--dataproc-metastore=DATAPROC_METASTORE    |--bigquery-metastore--bigquery-metastore-database-location=BIGQUERY_METASTORE_DATABASE_LOCATION--bigquery-metastore-project-id=BIGQUERY_METASTORE_PROJECT_ID][--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]][--kms-key=KMS_KEY :--kms-keyring=KMS_KEYRING--kms-location=KMS_LOCATION--kms-project=KMS_PROJECT][--metadata=KEY=VALUE,[KEY=VALUE,…]--resource-manager-tags=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"][--no-address    |--public-ip-address][--single-node    |--min-num-workers=MIN_NUM_WORKERS--num-secondary-workers=NUM_SECONDARY_WORKERS--num-workers=NUM_WORKERS--secondary-worker-type=TYPE; default="preemptible"][--worker-machine-type=WORKER_MACHINE_TYPE    |--worker-machine-types=type=MACHINE_TYPE[,type=MACHINE_TYPE…][,rank=RANK]][GCLOUD_WIDE_FLAG …]

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 thisresource. (NOTE) Some attributes are not given arguments in this group but canbe set in other ways.

To set theproject attribute:

• provide the argumenttemplate on the command line with a fullyspecified name;
• provide the argument--project on the command line;
• set the propertycore/project.

This must be specified.

TEMPLATE

ID of the template or fully qualified identifier for the template.

To set thetemplate attribute:

• provide the argumenttemplate on the command line.

This positional argument must be specified if any of the other arguments in thisgroup are specified.

--region=REGION

Dataproc region for the template. Each Dataproc region constitutes anindependent resource namespace constrained to deploying instances into ComputeEngine zones inside the region. Overrides the defaultdataproc/region property value for this command invocation.

To set theregion attribute:

• provide the argumenttemplate on the command line with a fullyspecified name;
• provide the argument--region on the command line;
• set the propertydataproc/region.

--autoscaling-policy=AUTOSCALING_POLICY

ID of the autoscaling policy or fully qualified identifier for the autoscalingpolicy.

To set theautoscaling_policy attribute:

• provide the argument--autoscaling-policy on the command line.

--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 thiscluster.

--cluster-name=CLUSTER_NAME

The name of the managed dataproc cluster. If unspecified, the workflow templateID will be used.

--cluster-type=TYPE

The type of cluster.TYPE must be one of:standard,single-node,zero-scale.

--enable-component-gateway

Enable access to the web UIs of selected components on the cluster through thecomponent gateway.

--initialization-action-timeout=TIMEOUT; default="10m"

The maximum duration of each initialization action. See $gcloud topic datetimes forinformation on duration formats.

--initialization-actions=CLOUD_STORAGE_URI,[…]

A list of Google Cloud Storage URIs of executables to run on each node in thecluster.

--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, andnumbers. 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 asnvidia-tesla-t4 for NVIDIA T4. Usegcloud computeaccelerator-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-provisioned-iops=MASTER_BOOT_DISK_PROVISIONED_IOPS

Indicates theIOPS toprovision for the disk. This sets the limit for disk I/O operations per second.This is only supported if the bootdisk type ishyperdisk-balanced.

--master-boot-disk-provisioned-throughput=MASTER_BOOT_DISK_PROVISIONED_THROUGHPUT

Indicates thethroughputto provision for the disk. This sets the limit for throughput in MiB per second.This is only supported if the bootdisk type ishyperdisk-balanced.

--master-boot-disk-size=MASTER_BOOT_DISK_SIZE

The size of the boot disk. The value must be a whole number followed by a sizeunit ofKB for kilobyte,MB for megabyte,GB for gigabyte, orTB for terabyte. For example,10GB will produce a 10 gigabyte disk. Theminimum size a boot disk can have is 10 GB. Disk size must be a multiple of 1GB.

--master-boot-disk-type=MASTER_BOOT_DISK_TYPE

The type of the boot disk. The value must bepd-balanced,pd-ssd, orpd-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 CPUarchitecture or a more recent CPU platform that's available in that zone. Tolist available CPU platforms in a zone, run:

gcloudcomputezonesdescribeZONE

CPU platform selection may not be available in a zone. Zones that support CPUplatform selection provide anavailableCpuPlatforms field, whichcontains the list of available CPU platforms in the zone (seeAvailabilityof CPU platforms for more information).

--min-secondary-worker-fraction=MIN_SECONDARY_WORKER_FRACTION

Minimum fraction of secondary worker nodes required to create the cluster. If itis not met, cluster creation will fail. Must be a decimal value between 0 and 1.The number of required secondary workers is calculated byceil(min-secondary-worker-fraction * num_secondary_workers). Defaults to 0.0001.

--node-group=NODE_GROUP

The name of the sole-tenant node group to create the cluster on. Can be a shortname ("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 andSpark.

Properties are mapped to configuration files by specifying a prefix, such as"core:io.serializations". The following are supported prefixes and theirmappings:

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

Seehttps://cloud.google.com/dataproc/docs/concepts/configuring-clusters/cluster-propertiesfor 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 asnvidia-tesla-t4 for NVIDIA T4. Usegcloud computeaccelerator-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 sizeunit ofKB for kilobyte,MB for megabyte,GB for gigabyte, orTB for terabyte. For example,10GB will produce a 10 gigabyte disk. Theminimum size a boot disk can have is 10 GB. Disk size must be a multiple of 1GB.

--secondary-worker-boot-disk-type=SECONDARY_WORKER_BOOT_DISK_TYPE

The type of the boot disk. The value must bepd-balanced,pd-ssd, orpd-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.

--secondary-worker-machine-types=type=MACHINE_TYPE[,type=MACHINE_TYPE…][,rank=RANK]

Types of machines with optional rank for secondary workers to use. Defaults toserver-specified.eg.--secondary-worker-machine-types="type=e2-standard-8,type=t2d-standard-8,rank=0"

--secondary-worker-standard-capacity-base=SECONDARY_WORKER_STANDARD_CAPACITY_BASE

This flag sets the base number of Standard VMs to use forsecondaryworkers. Dataproc will create only standard VMs until it reaches thisnumber, then it will mix Spot and Standard VMs according toSECONDARY_WORKER_STANDARD_CAPACITY_PERCENT_ABOVE_BASE.

--secondary-worker-standard-capacity-percent-above-base=SECONDARY_WORKER_STANDARD_CAPACITY_PERCENT_ABOVE_BASE

When combining Standard and Spot VMs forsecondary-workersonce the number of Standard VMs specified bySECONDARY_WORKER_STANDARD_CAPACITY_BASE hasbeen used, this flag specifies the percentage of the total number of additionalStandard VMs secondary workers will use. Spot VMs will be used for the remainingpercentage.

--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 hardwaremodule that can be used for different security operations, such as remoteattestation, 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. ATPM 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 andjobs data, such as Spark and MapReduce history files.

--tier=TIER

Cluster tier.TIER must be one of:premium,standard.

--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 asnvidia-tesla-t4 for NVIDIA T4. Usegcloud computeaccelerator-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-provisioned-iops=WORKER_BOOT_DISK_PROVISIONED_IOPS

Indicates theIOPS toprovision for the disk. This sets the limit for disk I/O operations per second.This is only supported if the bootdisk type ishyperdisk-balanced.

--worker-boot-disk-provisioned-throughput=WORKER_BOOT_DISK_PROVISIONED_THROUGHPUT

Indicates thethroughputto provision for the disk. This sets the limit for throughput in MiB per second.This is only supported if the bootdisk type ishyperdisk-balanced.

--worker-boot-disk-size=WORKER_BOOT_DISK_SIZE

The size of the boot disk. The value must be a whole number followed by a sizeunit ofKB for kilobyte,MB for megabyte,GB for gigabyte, orTB for terabyte. For example,10GB will produce a 10 gigabyte disk. Theminimum size a boot disk can have is 10 GB. Disk size must be a multiple of 1GB.

--worker-boot-disk-type=WORKER_BOOT_DISK_TYPE

The type of the boot disk. The value must bepd-balanced,pd-ssd, orpd-standard.

--worker-local-ssd-interface=WORKER_LOCAL_SSD_INTERFACE

Interface to use to attach local SSDs to each worker in a cluster.

--worker-min-cpu-platform=PLATFORM

When specified, the VM is scheduled on the host with a specified CPUarchitecture or a more recent CPU platform that's available in that zone. Tolist available CPU platforms in a zone, run:

gcloudcomputezonesdescribeZONE

CPU platform selection may not be available in a zone. Zones that support CPUplatform selection provide anavailableCpuPlatforms field, whichcontains the list of available CPU platforms in the zone (seeAvailabilityof CPU platforms for more information).

--zone=ZONE,-zZONE

The compute zone (e.g. us-central1-a) for the cluster. If empty and --region isset to a value other thanglobal, the server will pick a zone inthe region. Overrides the defaultcompute/zone property value forthis command invocation.

At most one of these can be specified:

--dataproc-metastore=DATAPROC_METASTORE

Specify the name of a Dataproc Metastore service to be used as an externalmetastore in the format:"projects/{project-id}/locations/{region}/services/{service-name}".

BQMS flags

--bigquery-metastore

Indicates that BigQuery metastore is to be used.

--bigquery-metastore-database-location=BIGQUERY_METASTORE_DATABASE_LOCATION

Location of the BigQuery metastore database to be used as an external metastore.

--bigquery-metastore-project-id=BIGQUERY_METASTORE_PROJECT_ID

The project ID of the BigQuery metastore database to be used as an externalmetastore.

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 imageURI, 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 thecluster. If you pass- as the value of the flag the file contentwill 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 principalpassword. Must be a Cloud Storage URL beginning with 'gs://'.

Key resource - The Cloud KMS (Key Management Service) cryptokey that will beused to protect the password. The 'Compute Engine Service Agent' service accountmust hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'. The arguments inthis 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 thekms-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 groupare specified.

--kerberos-kms-key-keyring=KERBEROS_KMS_KEY_KEYRING

The KMS keyring of the key.

To set thekms-keyring attribute:

• provide the argument--kerberos-kms-key on the command line with afully specified name;
• provide the argument--kerberos-kms-key-keyring on the commandline.

--kerberos-kms-key-location=KERBEROS_KMS_KEY_LOCATION

The Google Cloud location for the key.

To set thekms-location attribute:

• provide the argument--kerberos-kms-key on the command line with afully specified name;
• provide the argument--kerberos-kms-key-location on the commandline.

--kerberos-kms-key-project=KERBEROS_KMS_KEY_PROJECT

The Google Cloud project for the key.

To set thekms-project attribute:

• provide the argument--kerberos-kms-key on the command line with afully specified name;
• provide the argument--kerberos-kms-key-project on the commandline;
• set the propertycore/project.

Key resource - The Cloud KMS (Key Management Service) cryptokey that will beused to protect the cluster. The 'Compute Engine Service Agent' service accountmust hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'. The arguments inthis group can be used to specify the attributes of this resource.

--kms-key=KMS_KEY

ID of the key or fully qualified identifier for the key.

To set thekms-key attribute:

• provide the argument--kms-key on the command line.

This flag argument must be specified if any of the other arguments in this groupare specified.

--kms-keyring=KMS_KEYRING

The KMS keyring of the key.

To set thekms-keyring attribute:

• provide the argument--kms-key on the command line with a fullyspecified name;
• provide the argument--kms-keyring on the command line.

--kms-location=KMS_LOCATION

The Google Cloud location for the key.

To set thekms-location attribute:

• provide the argument--kms-key on the command line with a fullyspecified name;
• provide the argument--kms-location on the command line.

--kms-project=KMS_PROJECT

The Google Cloud project for the key.

To set thekms-project attribute:

• provide the argument--kms-key on the command line with a fullyspecified name;
• provide the argument--kms-project on the command line;
• set the propertycore/project.

Compute Engine options for Dataproc clusters.

--metadata=KEY=VALUE,[KEY=VALUE,…]

Metadata to be made available to the guest operating system running on theinstances

--resource-manager-tags=KEY=VALUE,[KEY=VALUE,…]

Specifies a list of resource manager tags to apply to each cluster node (masterand worker nodes).

--scopes=SCOPE,[SCOPE,…]

Specifies scopes for the node instances. Multiple SCOPEs can be specified,separated by commas. Examples:

gcloudalphadataprocworkflow-templatesset-managed-clusterexample-cluster--scopeshttps://www.googleapis.com/auth/bigtable.admin

gcloudalphadataprocworkflow-templatesset-managed-clusterexample-cluster--scopessqlservice,bigquery

The followingminimum scopes are necessary for the cluster tofunction properly and are always added, even if not explicitly specified:

https://www.googleapis.com/auth/devstorage.read_writehttps://www.googleapis.com/auth/logging.write

If the--scopes flag is not specified, the followingdefaultscopes are also included:

https://www.googleapis.com/auth/bigqueryhttps://www.googleapis.com/auth/bigtable.admin.tablehttps://www.googleapis.com/auth/bigtable.datahttps://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.Defaultscopes are assigned to all instances. Available aliases are:

Alias	URI
bigquery	https://www.googleapis.com/auth/bigquery
cloud-platform	https://www.googleapis.com/auth/cloud-platform
cloud-source-repos	https://www.googleapis.com/auth/source.full_control
cloud-source-repos-ro	https://www.googleapis.com/auth/source.read_only
compute-ro	https://www.googleapis.com/auth/compute.readonly
compute-rw	https://www.googleapis.com/auth/compute
datastore	https://www.googleapis.com/auth/datastore
default	https://www.googleapis.com/auth/devstorage.read_only
	https://www.googleapis.com/auth/logging.write
	https://www.googleapis.com/auth/monitoring.write
	https://www.googleapis.com/auth/pubsub
	https://www.googleapis.com/auth/service.management.readonly
	https://www.googleapis.com/auth/servicecontrol
	https://www.googleapis.com/auth/trace.append
gke-default	https://www.googleapis.com/auth/devstorage.read_only
	https://www.googleapis.com/auth/logging.write
	https://www.googleapis.com/auth/monitoring
	https://www.googleapis.com/auth/service.management.readonly
	https://www.googleapis.com/auth/servicecontrol
	https://www.googleapis.com/auth/trace.append
logging-write	https://www.googleapis.com/auth/logging.write
monitoring	https://www.googleapis.com/auth/monitoring
monitoring-read	https://www.googleapis.com/auth/monitoring.read
monitoring-write	https://www.googleapis.com/auth/monitoring.write
pubsub	https://www.googleapis.com/auth/pubsub
service-control	https://www.googleapis.com/auth/servicecontrol
service-management	https://www.googleapis.com/auth/service.management.readonly
sql (deprecated)	https://www.googleapis.com/auth/sqlservice
sql-admin	https://www.googleapis.com/auth/sqlservice.admin
storage-full	https://www.googleapis.com/auth/devstorage.full_control
storage-ro	https://www.googleapis.com/auth/devstorage.read_only
storage-rw	https://www.googleapis.com/auth/devstorage.read_write
taskqueue	https://www.googleapis.com/auth/taskqueue
trace	https://www.googleapis.com/auth/trace.append
userinfo-email	https://www.googleapis.com/auth/userinfo.email

DEPRECATION WARNING:https://www.googleapis.com/auth/sqlserviceaccount scope andsql alias do not provide SQL instance managementcapabilities and have been deprecated. Please, usehttps://www.googleapis.com/auth/sqlservice.adminorsql-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 networkfirewall rules and routes to be applied to specified VM instances. Seegcloud computefirewall-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:

gcloudcomputeinstanceslist--format='table(name,status,tags.list())'

To list instances tagged with a specific tag,tag1, run:

gcloudcomputeinstanceslist--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 defaultsto the "default" network.

--subnet=SUBNET

Specifies the subnet that the cluster will be part of. This is mutally exclusivewith --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:

--no-address

If provided, the instances in the cluster will not be assigned external IPaddresses.

If omitted, then the Dataproc service will apply a default policy to determineif each instance in the cluster gets an external IP address or not.

Note: Dataproc VMs need access to the Dataproc API. This can be achieved withoutexternal IP addresses using Private Google Access(https://cloud.google.com/compute/docs/private-google-access).

--public-ip-address

If provided, cluster instances are assigned external IP addresses.

If omitted, the Dataproc service applies a default policy to determine whetheror not each instance in the cluster gets an external IP address.

Note: Dataproc VMs need access to the Dataproc API. This can be achieved withoutexternal IP addresses using Private Google Access(https://cloud.google.com/compute/docs/private-google-access).

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 anyseparate worker nodes. If this flag is not specified, a cluster with separateworkers is created.

Multi-node cluster flags

--min-num-workers=MIN_NUM_WORKERS

Minimum number of primary worker nodes to provision for cluster creation tosucceed.

--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 oneof:preemptible,non-preemptible,spot.

At most one of these can be specified:

--worker-machine-type=WORKER_MACHINE_TYPE

The type of machine to use for primary workers. Defaults to server-specified.

--worker-machine-types=type=MACHINE_TYPE[,type=MACHINE_TYPE…][,rank=RANK]

Machinetypes for primary worker nodes to use with optional rank. A lower ranknumber is given higher preference. Based on availablilty, Dataproc tries tocreate primary worker VMs using the worker machine type with the lowest rank,and then tries to use machine types with higher ranks as necessary. Machinetypes with the same rank are given the same preference. Example use:--worker-machine-types="type=e2-standard-8,type=n2-standard-8,rank=0". For moreinformation, seeDataprocFlexible VMs

Run$gcloud help for details.