v1beta2

Match all jobs, regardless of state.

Only match jobs in non-terminal states: PENDING, RUNNING, or CANCEL_PENDING.

Only match jobs in terminal states: CANCELLED, DONE, or ERROR.

Level is unspecified. Use default level for log4j.

Use ALL level for log4j.

Use TRACE level for log4j.

Use DEBUG level for log4j.

Use INFO level for log4j.

Use WARN level for log4j.

Use ERROR level for log4j.

Use FATAL level for log4j.

Turn off log4j.

State is unspecified.

The node is awaiting prerequisite node to finish.

The node is runnable but not running.

The node is running.

The node completed successfully.

The node failed. A node can be marked FAILED because its ancestor or peer failed.

The job state is unknown.

The job is pending; it has been submitted, but is not yet running.

Job has been received by the service and completed initial setup; it will soon be submitted to the cluster.

The job is running on the cluster.

A CancelJob request has been received, but is pending.

Transient in-flight resources have been canceled, and the request to cancel the running job has been issued to the cluster.

The job cancellation was successful.

The job has completed successfully.

The job has completed, but encountered an error.

Job attempt has failed. The detail field contains failure details for this attempt.

Applies to restartable jobs only.

Unused.

The operation has been created.

The operation is running.

The operation is done; either cancelled or completed.

Status is unspecified.

Status is NEW.

Status is NEW_SAVING.

Status is SUBMITTED.

Status is ACCEPTED.

Status is RUNNING.

Status is FINISHED.

Status is FAILED.

Status is KILLED.

The cluster state is unknown.

The cluster is being created and set up. It is not ready for use.

The cluster is currently running and healthy. It is ready for use.

The cluster encountered an error. It is not ready for use.

The cluster is being deleted. It cannot be used.

The cluster is being updated. It continues to accept and process jobs.

The cluster substate is unknown.

The cluster is known to be in an unhealthy state (for example, critical daemons are not running or HDFS capacity is exhausted).

Applies to RUNNING state.

The agent-reported status is out of date (may occur if Cloud Dataproc loses communication with Agent).

Applies to RUNNING state.

The job substate is unknown.

The Job is submitted to the agent.

Applies to RUNNING state.

The Job has been received and is awaiting execution (it may be waiting for a condition to be met). See the "details" field for the reason for the delay.

Applies to RUNNING state.

The agent-reported status is out of date, which may be caused by a loss of communication between the agent and Cloud Dataproc. If the agent does not send a timely update, the job will fail.

Applies to RUNNING state.

Do not consume from any allocated capacity.

Consume any reservation available.

Must consume from a specific reservation. Must specify key value fields for specifying the reservations.

Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypes

Examples

• https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80
• projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80
• nvidia-tesla-k80

Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.

The number of the accelerator cards of this type exposed to this instance.

Optional. The autoscaling policy used by the cluster.

Only resource names including projectid and location (region) are valid. Examples:

• https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
• projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]

Note that the policy must be in the same project and Cloud Dataproc region.

Required. The policy id.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.

Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.

This object should have the same structure as BasicAutoscalingAlgorithm

Required. Describes how the autoscaler will operate for primary workers.

This object should have the same structure as InstanceGroupAutoscalingPolicyConfig

Optional. Describes how the autoscaler will operate for secondary workers.

This object should have the same structure as InstanceGroupAutoscalingPolicyConfig

Required. YARN autoscaling configuration.

This object should have the same structure as BasicYarnAutoscalingConfig

Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.

Bounds: [2m, 1d]. Default: 2m.

This object should have the same structure as Duration

Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.

Bounds: [0s, 1d].

This object should have the same structure as Duration

Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).

Bounds: [0.0, 1.0].

Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.

Bounds: [0.0, 1.0].

Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.

Bounds: [0.0, 1.0]. Default: 0.0.

Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.

Bounds: [0.0, 1.0]. Default: 0.0.

Required. The ID of the Google Cloud Platform project that the job belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The job ID.

Required. The Google Cloud Platform project ID that the cluster belongs to.

Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.

Required. The cluster config. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.

This object should have the same structure as ClusterConfig

Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035. Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035. No more than 32 labels can be associated with a cluster.

Output only. Cluster status.

This object should have the same structure as ClusterStatus

Output only. The previous cluster status.

This object should have the same structure as ClusterStatus

Output only. A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.

Output only. Contains cluster daemon metrics such as HDFS and YARN stats.

Beta Feature: This report is available for testing purposes only. It may be changed before final release.

This object should have the same structure as ClusterMetrics

Optional. A Google Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Google Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Cloud Dataproc staging bucket).

Optional. The shared Compute Engine config settings for all instances in a cluster.

This object should have the same structure as GceClusterConfig

Optional. The Compute Engine config settings for the master instance in a cluster.

This object should have the same structure as InstanceGroupConfig

Optional. The Compute Engine config settings for worker instances in a cluster.

This object should have the same structure as InstanceGroupConfig

Optional. The Compute Engine config settings for additional worker instances in a cluster.

This object should have the same structure as InstanceGroupConfig

Optional. The config settings for software inside the cluster.

This object should have the same structure as SoftwareConfig

Optional. The config setting for auto delete cluster schedule.

This object should have the same structure as LifecycleConfig

Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget):

  ROLE=$(curl -H Metadata-Flavor:Google
  http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role)
  if [[ "${ROLE}" == 'Master' ]]; then
    ... master specific actions ...
  else
    ... worker specific actions ...
  fi

This object should have the same structure as NodeInitializationAction

Optional. Encryption settings for the cluster.

This object should have the same structure as EncryptionConfig

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

This object should have the same structure as AutoscalingConfig

Optional. Port/endpoint configuration for this cluster

This object should have the same structure as EndpointConfig

Optional. Security related configuration.

This object should have the same structure as SecurityConfig

The HDFS metrics.

The YARN metrics.

Output only. The id of the cluster operation.

Output only. Error, if operation failed.

Output only. Indicates the operation is done.

Optional. The zone where workflow process executes. This parameter does not affect the selection of the cluster.

If unspecified, the zone of the first cluster matching the selector is used.

Required. The cluster labels. Cluster must have all labels to match.

Output only. The cluster's state.

The number should be among the values of State

Output only. Optional details of cluster's state.

Output only. Time when this state was entered.

This object should have the same structure as Timestamp

Output only. Additional state information that includes status reported by the agent.

The number should be among the values of Substate

Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}.

The autoscaling policy to create.

This object should have the same structure as AutoscalingPolicy

Required. The ID of the Google Cloud Platform project that the cluster belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The cluster to create.

This object should have the same structure as Cluster

Optional. A unique id used to identify the request. If the server receives two CreateClusterRequest requests with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.

It is recommended to always set this value to a UUID.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}

Required. The Dataproc workflow template to create.

This object should have the same structure as WorkflowTemplate

Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.

Required. The ID of the Google Cloud Platform project that the cluster belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The cluster name.

Optional. Specifying the cluster_uuid means the RPC should fail (with error NOT_FOUND) if cluster with specified UUID does not exist.

Optional. A unique id used to identify the request. If the server receives two DeleteClusterRequest requests with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.

It is recommended to always set this value to a UUID.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Required. The ID of the Google Cloud Platform project that the job belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The job ID.

Required. The "resource name" of the workflow template, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/workflowTemplates/{template_id}

Optional. The version of workflow template to delete. If specified, will only delete the template if the current server version matches specified version.

Required. The ID of the Google Cloud Platform project that the cluster belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The cluster name.

Output only. The Cloud Storage URI of the diagnostic output. The output report is a plain text file with a summary of collected diagnostics.

Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).

Optional. Size in GB of the boot disk (default is 500GB).

Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.

Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.

Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.

Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.

Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Cloud Dataproc region, the service will pick a zone in the corresponding Compute Engine region. On a get request, zone will always be present.

A full URL, partial URI, or short name are valid. Examples:

• https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]
• projects/[project_id]/zones/[zone]
• us-central1-f

Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks for more information).

A full URL, partial URI, or short name are valid. Examples:

• https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default
• projects/[project_id]/regions/global/default
• default

Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.

A full URL, partial URI, or short name are valid. Examples:

• https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0
• projects/[project_id]/regions/us-east1/subnetworks/sub0
• sub0

Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.

Optional. The service account of the instances. Defaults to the default Compute Engine service account. Custom service accounts need permissions equivalent to the following IAM roles:

• roles/logging.logWriter
• roles/storage.objectAdmin

(see https://cloud.google.com/compute/docs/access/service-accounts#custom_service_accounts for more information). Example: [account_id]@[project_id].iam.gserviceaccount.com

Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included:

• https://www.googleapis.com/auth/cloud.useraccounts.readonly
• https://www.googleapis.com/auth/devstorage.read_write
• https://www.googleapis.com/auth/logging.write

If no scopes are specified, the following defaults are also provided:

• 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

The Compute Engine tags to add to all instances (see Tagging instances).

The Compute Engine metadata entries to add to all instances (see Project and instance metadata).

Optional. Reservation Affinity for consuming Zonal reservation.

This object should have the same structure as ReservationAffinity

Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.

Required. The ID of the Google Cloud Platform project that the cluster belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The cluster name.

Required. The ID of the Google Cloud Platform project that the job belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The job ID.

Required. The "resource name" of the workflow template, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/workflowTemplates/{template_id}

Optional. The version of workflow template to retrieve. Only previously instatiated versions can be retrieved.

If unspecified, retrieves the current version.

The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris.

Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

Optional. HCFS URIs of archives to be extracted in the working directory of Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.

Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

Optional. The runtime log config for job execution.

This object should have the same structure as LoggingConfig

The HCFS URI of the script that contains Hive queries.

A list of queries.

This object should have the same structure as QueryList

Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.

Optional. Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code.

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.

Optional. Minimum number of instances for this group.

Primary workers - Bounds: [2, max_instances]. Default: 2. Secondary workers - Bounds: [0, max_instances]. Default: 0.

Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.

Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.

Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.

The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.

If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.

Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.

Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.

Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.

Optional. The Compute Engine machine type used for cluster instances.

A full URL, partial URI, or short name are valid. Examples:

• https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
• projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
• n1-standard-2

Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.

Optional. Disk option config settings.

This object should have the same structure as DiskConfig

Optional. Specifies that this instance group contains preemptible instances.

Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.

This object should have the same structure as ManagedGroupConfig

Optional. The Compute Engine accelerator configuration for these instances.

Beta Feature: This feature is still under development. It may be changed before final release.

This object should have the same structure as AcceleratorConfig

Optional. Specifies the minimum cpu platform for the Instance Group. See [Cloud Dataproc→Minimum CPU Platform] (/dataproc/docs/concepts/compute/dataproc-min-cpu).

Required. The "resource name" of the workflow template region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}

Required. The workflow template to instantiate.

This object should have the same structure as WorkflowTemplate

Deprecated. Please use request_id field instead.

Optional. A tag that prevents multiple concurrent workflow instances with the same tag from running. This mitigates risk of concurrent instances started due to retries.

It is recommended to always set this value to a UUID.

The tag must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Required. The "resource name" of the workflow template, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/workflowTemplates/{template_id}

Optional. The version of workflow template to instantiate. If specified, the workflow will be instantiated only if the current version of the workflow template has the supplied version.

This option cannot be used to instantiate a previous version of workflow template.

Deprecated. Please use request_id field instead.

Optional. A tag that prevents multiple concurrent workflow instances with the same tag from running. This mitigates risk of concurrent instances started due to retries.

It is recommended to always set this value to a UUID.

The tag must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 100 characters.

Optional. The fully qualified reference to the job, which can be used to obtain the equivalent REST path of the job resource. If this property is not specified when a job is created, the server generates a job_id.

This object should have the same structure as JobReference

Required. Job information, including how, when, and where to run the job.

This object should have the same structure as JobPlacement

Job is a Hadoop job.

This object should have the same structure as HadoopJob

Job is a Spark job.

This object should have the same structure as SparkJob

Job is a Pyspark job.

This object should have the same structure as PySparkJob

Job is a Hive job.

This object should have the same structure as HiveJob

Job is a Pig job.

This object should have the same structure as PigJob

Job is a SparkR job.

This object should have the same structure as SparkRJob

Job is a SparkSql job.

This object should have the same structure as SparkSqlJob

Output only. The job status. Additional application-specific status information may be contained in the type_job and yarn_applications fields.

This object should have the same structure as JobStatus

Output only. The previous job status.

This object should have the same structure as JobStatus

Output only. The collection of YARN applications spun up by this job.

Beta Feature: This report is available for testing purposes only. It may be changed before final release.

This object should have the same structure as YarnApplication

Output only. The email address of the user submitting the job. For jobs submitted on the cluster, the address is username@hostname.

Output only. A URI pointing to the location of the stdout of the job's driver program.

Output only. If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

Optional. The labels to associate with this job. Label keys must contain 1 to 63 characters, and must conform to RFC 1035. Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035. No more than 32 labels can be associated with a job.

Optional. Job scheduling configuration.

This object should have the same structure as JobScheduling

Output only. A UUID that uniquely identifies a job within the project over time. This is in contrast to a user-settable reference.job_id that may be reused over time.

Required. The name of the cluster where the job will be submitted.

Output only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.

Required. The ID of the Google Cloud Platform project that the job belongs to.

Optional. The job ID, which must be unique within the project.

The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.

If not specified by the caller, the job ID will be provided by the server.

Optional. Maximum number of times per hour a driver may be restarted as a result of driver terminating with non-zero code before job is reported failed.

A job may be reported as thrashing if driver exits with non-zero code 4 times within 10 minute window.

Maximum value is 10.

Output only. A state message specifying the overall job state.

The number should be among the values of State

Output only. Optional job state details, such as an error description if the state is ERROR.

Output only. The time when this state was entered.

This object should have the same structure as Timestamp

Output only. Additional state information, which includes status reported by the agent.

The number should be among the values of Substate

Optional. Flag to indicate whether to Kerberize the cluster.

Required. The Cloud Storage URI of a KMS encrypted file containing the root principal password.

Required. The uri of the KMS key used to encrypt various sensitive files.

Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.

Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.

Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.

Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.

Optional. The 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.

Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.

Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.

Optional. The duration to keep the cluster alive while idling. Passing this threshold will cause the cluster to be deleted. Valid range: [10m, 14d].

Example: "10m", the minimum value, to delete the cluster when it has had no jobs running for 10 minutes.

This object should have the same structure as Duration

Optional. The time when cluster will be auto-deleted.

This object should have the same structure as Timestamp

Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Valid range: [10m, 14d].

Example: "1d", to delete the cluster 1 day after its creation..

This object should have the same structure as Duration

Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}

Optional. The maximum number of results to return in each response.

Optional. The page token, returned by a previous call, to request the next page of results.

Output only. Autoscaling policies list.

This object should have the same structure as AutoscalingPolicy

Output only. This token is included in the response if there are more results to fetch.

Required. The ID of the Google Cloud Platform project that the cluster belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Optional. A filter constraining the clusters to list. Filters are case-sensitive and have the following syntax:

field = value [AND [field = value]] ...

where field is one of status.state, clusterName, or labels.[KEY], and [KEY] is a label key. value can be * to match all values. status.state can be one of the following: ACTIVE, INACTIVE, CREATING, RUNNING, ERROR, DELETING, or UPDATING. ACTIVE contains the CREATING, UPDATING, and RUNNING states. INACTIVE contains the DELETING and ERROR states. clusterName is the name of the cluster provided at creation time. Only the logical AND operator is supported; space-separated items are treated as having an implicit AND operator.

Example filter:

status.state = ACTIVE AND clusterName = mycluster AND labels.env = staging AND labels.starred = *

Optional. The standard List page size.

Optional. The standard List page token.

Output only. The clusters in the project.

This object should have the same structure as Cluster

Output only. This token is included in the response if there are more results to fetch. To fetch additional results, provide this value as the page_token in a subsequent ListClustersRequest.

Required. The ID of the Google Cloud Platform project that the job belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Optional. The number of results to return in each response.

Optional. The page token, returned by a previous call, to request the next page of results.

Optional. If set, the returned jobs list includes only jobs that were submitted to the named cluster.

Optional. Specifies enumerated categories of jobs to list. (default = match ALL jobs).

If filter is provided, jobStateMatcher will be ignored.

The number should be among the values of JobStateMatcher

Optional. A filter constraining the jobs to list. Filters are case-sensitive and have the following syntax:

[field = value] AND [field [= value]] ...

where field is status.state or labels.[KEY], and [KEY] is a label key. value can be * to match all values. status.state can be either ACTIVE or NON_ACTIVE. Only the logical AND operator is supported; space-separated items are treated as having an implicit AND operator.

Example filter:

status.state = ACTIVE AND labels.env = staging AND labels.starred = *

Output only. Jobs list.

This object should have the same structure as Job

Optional. This token is included in the response if there are more results to fetch. To fetch additional results, provide this value as the page_token in a subsequent ListJobsRequest.

Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}

Optional. The maximum number of results to return in each response.

Optional. The page token, returned by a previous call, to request the next page of results.

Output only. WorkflowTemplates list.

This object should have the same structure as WorkflowTemplate

Output only. This token is included in the response if there are more results to fetch. To fetch additional results, provide this value as the page_token in a subsequent ListWorkflowTemplatesRequest.

The per-package log levels for the driver. This may include "root" package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

Required. The cluster name prefix. A unique cluster name will be formed by appending a random suffix.

The name must contain only lower-case letters (a-z), numbers (0-9), and hyphens (-). Must begin with a letter. Cannot begin or end with hyphen. Must consist of between 2 and 35 characters.

Required. The cluster configuration.

This object should have the same structure as ClusterConfig

Optional. The labels to associate with this cluster.

Label keys must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}_-]{0,62}

Label values must be between 1 and 63 characters long, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}_-]{0,63}

No more than 32 labels can be associated with a given cluster.

Output only. The name of the Instance Template used for the Managed Instance Group.

Output only. The name of the Instance Group Manager for this group.

Required. Cloud Storage URI of executable file.

Optional. Amount of time executable has to complete. Default is 10 minutes. Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.

This object should have the same structure as Duration

Required. The step id. The id must be unique among all jobs within the template.

The step id is used as prefix for job id, as job goog-dataproc-workflow-step-id label, and in prerequisiteStepIds field from other steps.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.

Job is a Hadoop job.

This object should have the same structure as HadoopJob

Job is a Spark job.

This object should have the same structure as SparkJob

Job is a Pyspark job.

This object should have the same structure as PySparkJob

Job is a Hive job.

This object should have the same structure as HiveJob

Job is a Pig job.

This object should have the same structure as PigJob

Job is a SparkSql job.

This object should have the same structure as SparkSqlJob

Optional. The labels to associate with this job.

Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}_-]{0,62}

Label values must be between 1 and 63 characters long, and must conform to the following regular expression: [\p{Ll}\p{Lo}\p{N}_-]{0,63}

No more than 32 labels can be associated with a given job.

Optional. Job scheduling configuration.

This object should have the same structure as JobScheduling

Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

Validation based on regular expressions.

This object should have the same structure as RegexValidation

Validation based on a list of allowed values.

This object should have the same structure as ValueValidation

The HCFS URI of the script that contains the Pig queries.

A list of queries.

This object should have the same structure as QueryList

Optional. Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries.

Optional. Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

Optional. The runtime log config for job execution.

This object should have the same structure as LoggingConfig

Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.

Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

Optional. The runtime log config for job execution.

This object should have the same structure as LoggingConfig

Required. The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob:

  "hiveJob": {
    "queryList": {
      "queries": [
        "query1",
        "query2",
        "query3;query4",
      ]
    }
  }

Required. RE2 regular expressions used to validate the parameter's value. The value must match the regex in its entirety (substring matches are not sufficient).

Optional. Type of reservation to consume

The number should be among the values of Type

Optional. Corresponds to the label key of reservation resource.

Optional. Corresponds to the label values of reservation resource.

Kerberos related configuration.

This object should have the same structure as KerberosConfig

Optional. The version of software inside the cluster. It must be one of the supported Cloud Dataproc Versions, such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version. If unspecified, it defaults to the latest Debian version.

Optional. The properties to set on daemon config files.

Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings:

• capacity-scheduler: capacity-scheduler.xml
• core: core-site.xml
• distcp: distcp-default.xml
• hdfs: hdfs-site.xml
• hive: hive-site.xml
• mapred: mapred-site.xml
• pig: pig.properties
• spark: spark-defaults.conf
• yarn: yarn-site.xml

For more information, see Cluster properties.

The set of optional components to activate on the cluster.

The number should be among the values of Component

The HCFS URI of the jar file that contains the main class.

The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.

Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

Optional. The runtime log config for job execution.

This object should have the same structure as LoggingConfig

Required. The HCFS URI of the main R file to use as the driver. Must be a .R file.

Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

Optional. HCFS URIs of files to be copied to the working directory of R drivers and distributed tasks. Useful for naively parallel tasks.

Optional. HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

Optional. The runtime log config for job execution.

This object should have the same structure as LoggingConfig

The HCFS URI of the script that contains SQL queries.

A list of queries.

This object should have the same structure as QueryList

Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

Optional. The runtime log config for job execution.

This object should have the same structure as LoggingConfig

Required. The ID of the Google Cloud Platform project that the job belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The job resource.

This object should have the same structure as Job

Optional. A unique id used to identify the request. If the server receives two SubmitJobRequest requests with the same id, then the second request will be ignored and the first Job created and stored in the backend is returned.

It is recommended to always set this value to a UUID.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Required. Parameter name. The parameter name is used as the key, and paired with the parameter value, which are passed to the template when the template is instantiated. The name must contain only capital letters (A-Z), numbers (0-9), and underscores (_), and must not start with a number. The maximum length is 40 characters.

Required. Paths to all fields that the parameter replaces. A field is allowed to appear in at most one parameter's list of field paths.

A field path is similar in syntax to a google.protobuf.FieldMask. For example, a field path that references the zone field of a workflow template's cluster selector would be specified as placement.clusterSelector.zone.

Also, field paths can reference fields using the following syntax:

• Values in maps can be referenced by key:

  • labels['key']
  • placement.clusterSelector.clusterLabels['key']
  • placement.managedCluster.labels['key']
  • placement.clusterSelector.clusterLabels['key']
  • jobs['step-id'].labels['key']

• Jobs in the jobs list can be referenced by step-id:

  • jobs['step-id'].hadoopJob.mainJarFileUri
  • jobs['step-id'].hiveJob.queryFileUri
  • jobs['step-id'].pySparkJob.mainPythonFileUri
  • jobs['step-id'].hadoopJob.jarFileUris[0]
  • jobs['step-id'].hadoopJob.archiveUris[0]
  • jobs['step-id'].hadoopJob.fileUris[0]
  • jobs['step-id'].pySparkJob.pythonFileUris[0]

• Items in repeated fields can be referenced by a zero-based index:

  • jobs['step-id'].sparkJob.args[0]

• Other examples:

  • jobs['step-id'].hadoopJob.properties['key']
  • jobs['step-id'].hadoopJob.args[0]
  • jobs['step-id'].hiveJob.scriptVariables['key']
  • jobs['step-id'].hadoopJob.mainJarFileUri
  • placement.clusterSelector.zone

It may not be possible to parameterize maps and repeated fields in their entirety since only individual map values and individual items in repeated fields can be referenced. For example, the following field paths are invalid:

• placement.clusterSelector.clusterLabels
• jobs['step-id'].sparkJob.args

Optional. Brief description of the parameter. Must not exceed 1024 characters.

Optional. Validation rules to be applied to this parameter's value.

This object should have the same structure as ParameterValidation

Required. The updated autoscaling policy.

This object should have the same structure as AutoscalingPolicy

Required. The ID of the Google Cloud Platform project the cluster belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The cluster name.

Required. The changes to the cluster.

This object should have the same structure as Cluster

Optional. Timeout for graceful YARN decomissioning. Graceful decommissioning allows removing nodes from the cluster without interrupting jobs in progress. Timeout specifies how long to wait for jobs in progress to finish before forcefully removing nodes (and potentially interrupting jobs). Default timeout is 0 (for forceful decommission), and the maximum allowed timeout is 1 day.

Only supported on Dataproc image versions 1.2 and higher.

This object should have the same structure as Duration

Required. Specifies the path, relative to Cluster, of the field to update. For example, to change the number of workers in a cluster to 5, the update_mask parameter would be specified as config.worker_config.num_instances, and the PATCH request body would specify the new value, as follows:

  {
    "config":{
      "workerConfig":{
        "numInstances":"5"
      }
    }
  }

Similarly, to change the number of preemptible workers in a cluster to 5, the update_mask parameter would be config.secondary_worker_config.num_instances, and the PATCH request body would be set as follows:

  {
    "config":{
      "secondaryWorkerConfig":{
        "numInstances":"5"
      }
    }
  }

Note: currently only the following fields can be updated:

This object should have the same structure as FieldMask

Optional. A unique id used to identify the request. If the server receives two UpdateClusterRequest requests with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.

It is recommended to always set this value to a UUID.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Required. The ID of the Google Cloud Platform project that the job belongs to.

Required. The Cloud Dataproc region in which to handle the request.

Required. The job ID.

Required. The changes to the job.

This object should have the same structure as Job

Required. Specifies the path, relative to Job, of the field to update. For example, to update the labels of a Job the update_mask parameter would be specified as labels, and the PATCH request body would specify the new value. Note: Currently, labels is the only field that can be updated.

This object should have the same structure as FieldMask

Required. The updated workflow template.

The template.version field must match the current version.

This object should have the same structure as WorkflowTemplate

Required. List of allowed values for the parameter.

Output only. The workflow nodes.

This object should have the same structure as WorkflowNode

Output only. The "resource name" of the template.

Output only. The version of template at the time of workflow instantiation.

Output only. The create cluster operation metadata.

This object should have the same structure as ClusterOperation

Output only. The workflow graph.

This object should have the same structure as WorkflowGraph

Output only. The delete cluster operation metadata.

This object should have the same structure as ClusterOperation

Output only. The workflow state.

The number should be among the values of State

Output only. The name of the target cluster.

Map from parameter names to values that were used for those parameters.

Output only. Workflow start time.

This object should have the same structure as Timestamp

Output only. Workflow end time.

This object should have the same structure as Timestamp

Output only. The UUID of target cluster.

Output only. The name of the node.

Output only. Node's prerequisite nodes.

Output only. The job id; populated after the node enters RUNNING state.

Output only. The node state.

The number should be among the values of NodeState

Output only. The error detail.

Required. The template id.

The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.

.

Output only. The "resource name" of the template, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/workflowTemplates/{template_id}

Optional. Used to perform a consistent read-modify-write.

This field should be left blank for a CreateWorkflowTemplate request. It is required for an UpdateWorkflowTemplate request, and must match the current server version. A typical update template flow would fetch the current template with a GetWorkflowTemplate request, which will return the current template with the version field filled in with the current server version. The user updates other fields in the template, then returns it as part of the UpdateWorkflowTemplate request.

Output only. The time template was created.

This object should have the same structure as Timestamp

Output only. The time template was last updated.

This object should have the same structure as Timestamp

Optional. The labels to associate with this template. These labels will be propagated to all jobs and clusters created by the workflow instance.

Label keys must contain 1 to 63 characters, and must conform to RFC 1035.

Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035.

No more than 32 labels can be associated with a template.

Required. WorkflowTemplate scheduling information.

This object should have the same structure as WorkflowTemplatePlacement

Required. The Directed Acyclic Graph of Jobs to submit.

This object should have the same structure as OrderedJob

Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.

This object should have the same structure as TemplateParameter

Optional. A cluster that is managed by the workflow.

This object should have the same structure as ManagedCluster

Optional. A selector that chooses target cluster for jobs based on metadata.

The selector is evaluated at the time each job is submitted.

This object should have the same structure as ClusterSelector

Required. The application name.

Required. The application state.

The number should be among the values of State

Required. The numerical progress of the application, from 1 to 100.

Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or TimelineServer that provides application-specific information. The URL uses the internal hostname, and requires a proxy server for resolution and, possibly, access.