@google-cloud/dataproc 0.4.0 » Namespace: v1 | Node.js

Enumerations

JobStateMatcher

static

number

A matcher that specifies categories of job states.

Value
ALL	Match all jobs, regardless of state.
ACTIVE	Only match jobs in non-terminal states: PENDING, RUNNING, or CANCEL_PENDING.
NON_ACTIVE	Only match jobs in terminal states: CANCELLED, DONE, or ERROR.

Level

static

number

The Log4j level for job execution. When running an Apache Hive job, Cloud Dataproc configures the Hive client to an equivalent verbosity level.

Value
LEVEL_UNSPECIFIED	Level is unspecified. Use default level for log4j.
ALL	Use ALL level for log4j.
TRACE	Use TRACE level for log4j.
DEBUG	Use DEBUG level for log4j.
INFO	Use INFO level for log4j.
WARN	Use WARN level for log4j.
ERROR	Use ERROR level for log4j.
FATAL	Use FATAL level for log4j.
OFF	Turn off log4j.

NodeState

static

number

The workflow node state.

Value
NODE_STATE_UNSPECIFIED	State is unspecified.
BLOCKED	The node is awaiting prerequisite node to finish.
RUNNABLE	The node is runnable but not running.
RUNNING	The node is running.
COMPLETED	The node completed successfully.
FAILED	The node failed. A node can be marked FAILED because its ancestor or peer failed.

State

static

number

The operation state.

Value
UNKNOWN	Unused.
PENDING	The operation has been created.
RUNNING	The operation is running.
DONE	The operation is done; either cancelled or completed.

State

static

number

The cluster state.

Value
UNKNOWN	The cluster state is unknown.
CREATING	The cluster is being created and set up. It is not ready for use.
RUNNING	The cluster is currently running and healthy. It is ready for use.
ERROR	The cluster encountered an error. It is not ready for use.
DELETING	The cluster is being deleted. It cannot be used.
UPDATING	The cluster is being updated. It continues to accept and process jobs.

State

static

number

The application state, corresponding to YarnProtos.YarnApplicationStateProto.

Value
STATE_UNSPECIFIED	Status is unspecified.
NEW	Status is NEW.
NEW_SAVING	Status is NEW_SAVING.
SUBMITTED	Status is SUBMITTED.
ACCEPTED	Status is ACCEPTED.
RUNNING	Status is RUNNING.
FINISHED	Status is FINISHED.
FAILED	Status is FAILED.
KILLED	Status is KILLED.

State

static

number

The job state.

Value
STATE_UNSPECIFIED	The job state is unknown.
PENDING	The job is pending; it has been submitted, but is not yet running.
SETUP_DONE	Job has been received by the service and completed initial setup; it will soon be submitted to the cluster.
RUNNING	The job is running on the cluster.
CANCEL_PENDING	A CancelJob request has been received, but is pending.
CANCEL_STARTED	Transient in-flight resources have been canceled, and the request to cancel the running job has been issued to the cluster.
CANCELLED	The job cancellation was successful.
DONE	The job has completed successfully.
ERROR	The job has completed, but encountered an error.
ATTEMPT_FAILURE	Job attempt has failed. The detail field contains failure details for this attempt. Applies to restartable jobs only.

Substate

static

number

The cluster substate.

Value
UNSPECIFIED	The cluster substate is unknown.
UNHEALTHY	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.
STALE_STATUS	The agent-reported status is out of date (may occur if Cloud Dataproc loses communication with Agent). Applies to RUNNING state.

Value

UNSPECIFIED

The cluster substate is unknown.

UNHEALTHY

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.

STALE_STATUS

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

Applies to RUNNING state.

Substate

static

number

The job substate.

Value
UNSPECIFIED	The job substate is unknown.
SUBMITTED	The Job is submitted to the agent. Applies to RUNNING state.
QUEUED	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.
STALE_STATUS	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.

Properties

JobStateMatcher

static

number

A matcher that specifies categories of job states.

Value
ALL	Match all jobs, regardless of state.
ACTIVE	Only match jobs in non-terminal states: PENDING, RUNNING, or CANCEL_PENDING.
NON_ACTIVE	Only match jobs in terminal states: CANCELLED, DONE, or ERROR.

Level

static

number

The Log4j level for job execution. When running an Apache Hive job, Cloud Dataproc configures the Hive client to an equivalent verbosity level.

Value
LEVEL_UNSPECIFIED	Level is unspecified. Use default level for log4j.
ALL	Use ALL level for log4j.
TRACE	Use TRACE level for log4j.
DEBUG	Use DEBUG level for log4j.
INFO	Use INFO level for log4j.
WARN	Use WARN level for log4j.
ERROR	Use ERROR level for log4j.
FATAL	Use FATAL level for log4j.
OFF	Turn off log4j.

NodeState

static

number

The workflow node state.

Value
NODE_STATE_UNSPECIFIED	State is unspecified.
BLOCKED	The node is awaiting prerequisite node to finish.
RUNNABLE	The node is runnable but not running.
RUNNING	The node is running.
COMPLETED	The node completed successfully.
FAILED	The node failed. A node can be marked FAILED because its ancestor or peer failed.

State

static

number

The operation state.

Value
UNKNOWN	Unused.
PENDING	The operation has been created.
RUNNING	The operation is running.
DONE	The operation is done; either cancelled or completed.

State

static

number

The cluster state.

Value
UNKNOWN	The cluster state is unknown.
CREATING	The cluster is being created and set up. It is not ready for use.
RUNNING	The cluster is currently running and healthy. It is ready for use.
ERROR	The cluster encountered an error. It is not ready for use.
DELETING	The cluster is being deleted. It cannot be used.
UPDATING	The cluster is being updated. It continues to accept and process jobs.

State

static

number

The application state, corresponding to YarnProtos.YarnApplicationStateProto.

Value
STATE_UNSPECIFIED	Status is unspecified.
NEW	Status is NEW.
NEW_SAVING	Status is NEW_SAVING.
SUBMITTED	Status is SUBMITTED.
ACCEPTED	Status is ACCEPTED.
RUNNING	Status is RUNNING.
FINISHED	Status is FINISHED.
FAILED	Status is FAILED.
KILLED	Status is KILLED.

State

static

number

The job state.

Value
STATE_UNSPECIFIED	The job state is unknown.
PENDING	The job is pending; it has been submitted, but is not yet running.
SETUP_DONE	Job has been received by the service and completed initial setup; it will soon be submitted to the cluster.
RUNNING	The job is running on the cluster.
CANCEL_PENDING	A CancelJob request has been received, but is pending.
CANCEL_STARTED	Transient in-flight resources have been canceled, and the request to cancel the running job has been issued to the cluster.
CANCELLED	The job cancellation was successful.
DONE	The job has completed successfully.
ERROR	The job has completed, but encountered an error.
ATTEMPT_FAILURE	Job attempt has failed. The detail field contains failure details for this attempt. Applies to restartable jobs only.

Substate

static

number

The cluster substate.

Value
UNSPECIFIED	The cluster substate is unknown.
UNHEALTHY	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.
STALE_STATUS	The agent-reported status is out of date (may occur if Cloud Dataproc loses communication with Agent). Applies to RUNNING state.

Value

UNSPECIFIED

The cluster substate is unknown.

UNHEALTHY

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.

STALE_STATUS

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

Applies to RUNNING state.

Substate

static

number

The job substate.

Value
UNSPECIFIED	The job substate is unknown.
SUBMITTED	The Job is submitted to the agent. Applies to RUNNING state.
QUEUED	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.
STALE_STATUS	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.

Abstract types

AcceleratorConfig

static

Specifies the type and number of accelerator cards attached to the instances of an instance. See GPUs on Compute Engine.

Properties

Parameter
acceleratorTypeUri	string 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`.
acceleratorCount	number The number of the accelerator cards of this type exposed to this instance.

Parameter

acceleratorTypeUri

string

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.

acceleratorCount

number

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

See also: google.cloud.dataproc.v1.AcceleratorConfig definition in proto format

CancelJobRequest

static

A request to cancel a job.

Properties

Parameter

projectId

string

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

region

string

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

jobId

string

Required. The job ID.

See also: google.cloud.dataproc.v1.CancelJobRequest definition in proto format

Cluster

static

Describes the identifying information, config, and status of a cluster of Compute Engine instances.

Properties

Parameter
projectId	string Required. The Google Cloud Platform project ID that the cluster belongs to.
clusterName	string Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.
config	Object 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
labels	Object with string properties 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.
status	Object Output only. Cluster status. This object should have the same structure as ClusterStatus
statusHistory	Array of Object Output only. The previous cluster status. This object should have the same structure as ClusterStatus
clusterUuid	string Output only. A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
metrics	Object 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

See also: google.cloud.dataproc.v1.Cluster definition in proto format

ClusterConfig

static

The cluster config.

Properties

Parameter
configBucket	string Optional. A Cloud Storage staging bucket used for sharing generated SSH keys and config. If you do not specify a staging bucket, Cloud Dataproc will determine an appropriate 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 it will create and manage this project-level, per-location bucket for you.
gceClusterConfig	Object Required. The shared Compute Engine config settings for all instances in a cluster. This object should have the same structure as GceClusterConfig
masterConfig	Object Optional. The Compute Engine config settings for the master instance in a cluster. This object should have the same structure as InstanceGroupConfig
workerConfig	Object Optional. The Compute Engine config settings for worker instances in a cluster. This object should have the same structure as InstanceGroupConfig
secondaryWorkerConfig	Object Optional. The Compute Engine config settings for additional worker instances in a cluster. This object should have the same structure as InstanceGroupConfig
softwareConfig	Object Optional. The config settings for software inside the cluster. This object should have the same structure as SoftwareConfig
initializationActions	Array of Object 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=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi` This object should have the same structure as NodeInitializationAction
encryptionConfig	Object Optional. Encryption settings for the cluster. This object should have the same structure as EncryptionConfig

See also: google.cloud.dataproc.v1.ClusterConfig definition in proto format

ClusterMetrics

static

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.

Properties

Parameter
hdfsMetrics	Object with number properties The HDFS metrics.
yarnMetrics	Object with number properties The YARN metrics.

Parameter

hdfsMetrics

Object with number properties

The HDFS metrics.

yarnMetrics

Object with number properties

The YARN metrics.

See also: google.cloud.dataproc.v1.ClusterMetrics definition in proto format

ClusterOperation

static

The cluster operation triggered by a workflow.

Properties

Parameter
operationId	string Output only. The id of the cluster operation.
error	string Output only. Error, if operation failed.
done	boolean Output only. Indicates the operation is done.

Parameter

operationId

string

Output only. The id of the cluster operation.

error

string

Output only. Error, if operation failed.

done

boolean

Output only. Indicates the operation is done.

See also: google.cloud.dataproc.v1.ClusterOperation definition in proto format

ClusterSelector

static

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

Properties

Parameter
zone	string 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.
clusterLabels	Object with string properties Required. The cluster labels. Cluster must have all labels to match.

Parameter

zone

string

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.

clusterLabels

Object with string properties

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

See also: google.cloud.dataproc.v1.ClusterSelector definition in proto format

ClusterStatus

static

The status of a cluster and its instances.

Properties

Parameter
state	number Output only. The cluster's state. The number should be among the values of State
detail	string Output only. Optional details of cluster's state.
stateStartTime	Object Output only. Time when this state was entered. This object should have the same structure as Timestamp
substate	number Output only. Additional state information that includes status reported by the agent. The number should be among the values of Substate

See also: google.cloud.dataproc.v1.ClusterStatus definition in proto format

CreateClusterRequest

static

A request to create a cluster.

Properties

Parameter
projectId	string Required. The ID of the Google Cloud Platform project that the cluster belongs to.
region	string Required. The Cloud Dataproc region in which to handle the request.
cluster	Object Required. The cluster to create. This object should have the same structure as Cluster
requestId	string 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.

See also: google.cloud.dataproc.v1.CreateClusterRequest definition in proto format

CreateWorkflowTemplateRequest

static

A request to create a workflow template.

Properties

Parameter
parent	string 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}`
template	Object Required. The Dataproc workflow template to create. This object should have the same structure as WorkflowTemplate

Parameter

parent

string

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}

template

Object

Required. The Dataproc workflow template to create.

This object should have the same structure as WorkflowTemplate

See also: google.cloud.dataproc.v1.CreateWorkflowTemplateRequest definition in proto format

DeleteClusterRequest

static

A request to delete a cluster.

Properties

Parameter
projectId	string Required. The ID of the Google Cloud Platform project that the cluster belongs to.
region	string Required. The Cloud Dataproc region in which to handle the request.
clusterName	string Required. The cluster name.
clusterUuid	string Optional. Specifying the `cluster_uuid` means the RPC should fail (with error NOT_FOUND) if cluster with specified UUID does not exist.
requestId	string 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.

See also: google.cloud.dataproc.v1.DeleteClusterRequest definition in proto format

DeleteJobRequest

static

A request to delete a job.

Properties

Parameter

projectId

string

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

region

string

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

jobId

string

Required. The job ID.

See also: google.cloud.dataproc.v1.DeleteJobRequest definition in proto format

DeleteWorkflowTemplateRequest

static

A request to delete a workflow template.

Currently started workflows will remain running.

Properties

Parameter

name

string

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}

version

number

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

See also: google.cloud.dataproc.v1.DeleteWorkflowTemplateRequest definition in proto format

DiagnoseClusterRequest

static

A request to collect cluster diagnostic information.

Properties

Parameter

projectId

string

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

region

string

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

clusterName

string

Required. The cluster name.

See also: google.cloud.dataproc.v1.DiagnoseClusterRequest definition in proto format

DiagnoseClusterResults

static

The location of diagnostic output.

Property

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

Parameter

outputUri

string

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

See also: google.cloud.dataproc.v1.DiagnoseClusterResults definition in proto format

DiskConfig

static

Specifies the config of disk options for a group of VM instances.

Properties

Parameter
bootDiskType	string 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).
bootDiskSizeGb	number Optional. Size in GB of the boot disk (default is 500GB).
numLocalSsds	number 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.

Parameter

bootDiskType

string

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).

bootDiskSizeGb

number

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

numLocalSsds

number

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.

See also: google.cloud.dataproc.v1.DiskConfig definition in proto format

EncryptionConfig

static

Encryption settings for the cluster.

Property

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

Parameter

gcePdKmsKeyName

string

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

See also: google.cloud.dataproc.v1.EncryptionConfig definition in proto format

GceClusterConfig

static

Common config settings for resources of Compute Engine cluster instances, applicable to all instances in the cluster.

Properties

Parameter
zoneUri	string 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`
networkUri	string 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`
subnetworkUri	string 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/sub0` `projects/[project_id]/regions/us-east1/sub0` `sub0`
internalIpOnly	boolean 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.
serviceAccount	string 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`
serviceAccountScopes	Array of string 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
tags	Array of string The Compute Engine tags to add to all instances (see Tagging instances).
metadata	Object with string properties The Compute Engine metadata entries to add to all instances (see Project and instance metadata).

See also: google.cloud.dataproc.v1.GceClusterConfig definition in proto format

GetClusterRequest

static

Request to get the resource representation for a cluster in a project.

Properties

Parameter

projectId

string

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

region

string

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

clusterName

string

Required. The cluster name.

See also: google.cloud.dataproc.v1.GetClusterRequest definition in proto format

GetJobRequest

static

A request to get the resource representation for a job in a project.

Properties

Parameter

projectId

string

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

region

string

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

jobId

string

Required. The job ID.

See also: google.cloud.dataproc.v1.GetJobRequest definition in proto format

GetWorkflowTemplateRequest

static

A request to fetch a workflow template.

Properties

Parameter

name

string

version

number

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

If unspecified, retrieves the current version.

See also: google.cloud.dataproc.v1.GetWorkflowTemplateRequest definition in proto format

HadoopJob

static

A Cloud Dataproc job for running Apache Hadoop MapReduce jobs on Apache Hadoop YARN.

Properties

Parameter
mainJarFileUri	string 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'
mainClass	string 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`.
args	Array of string 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.
jarFileUris	Array of string Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
fileUris	Array of string 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.
archiveUris	Array of string 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.
properties	Object with string properties 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.
loggingConfig	Object Optional. The runtime log config for job execution. This object should have the same structure as LoggingConfig

See also: google.cloud.dataproc.v1.HadoopJob definition in proto format

HiveJob

static

A Cloud Dataproc job for running Apache Hive queries on YARN.

Properties

Parameter
queryFileUri	string The HCFS URI of the script that contains Hive queries.
queryList	Object A list of queries. This object should have the same structure as QueryList
continueOnFailure	boolean 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.
scriptVariables	Object with string properties Optional. Mapping of query variable names to values (equivalent to the Hive command: `SET name="value";`).
properties	Object with string properties 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.
jarFileUris	Array of string 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.

See also: google.cloud.dataproc.v1.HiveJob definition in proto format

InstanceGroupConfig

static

Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group.

Properties

Parameter
numInstances	number Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
instanceNames	Array of string Output only. The list of instance names. Cloud Dataproc derives the names from `cluster_name`, `num_instances`, and the instance group.
imageUri	string Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from `SoftwareConfig.image_version`.
machineTypeUri	string 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`.
diskConfig	Object Optional. Disk option config settings. This object should have the same structure as DiskConfig
isPreemptible	boolean Optional. Specifies that this instance group contains preemptible instances.
managedGroupConfig	Object 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
accelerators	Array of Object 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

See also: google.cloud.dataproc.v1.InstanceGroupConfig definition in proto format

InstantiateInlineWorkflowTemplateRequest

static

A request to instantiate an inline workflow template.

Properties

Parameter
parent	string 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}`
template	Object Required. The workflow template to instantiate. This object should have the same structure as WorkflowTemplate
requestId	string 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.

Parameter

parent

string

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}

template

Object

Required. The workflow template to instantiate.

This object should have the same structure as WorkflowTemplate

requestId

string

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.

See also: google.cloud.dataproc.v1.InstantiateInlineWorkflowTemplateRequest definition in proto format

InstantiateWorkflowTemplateRequest

static

A request to instantiate a workflow template.

Properties

Parameter
name	string 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}`
version	number 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.
requestId	string 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.
parameters	Object with string properties Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 100 characters.

See also: google.cloud.dataproc.v1.InstantiateWorkflowTemplateRequest definition in proto format

Job

static

A Cloud Dataproc job resource.

Properties

Parameter
reference	Object 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
placement	Object Required. Job information, including how, when, and where to run the job. This object should have the same structure as JobPlacement
hadoopJob	Object Job is a Hadoop job. This object should have the same structure as HadoopJob
sparkJob	Object Job is a Spark job. This object should have the same structure as SparkJob
pysparkJob	Object Job is a Pyspark job. This object should have the same structure as PySparkJob
hiveJob	Object Job is a Hive job. This object should have the same structure as HiveJob
pigJob	Object Job is a Pig job. This object should have the same structure as PigJob
sparkSqlJob	Object Job is a SparkSql job. This object should have the same structure as SparkSqlJob
status	Object 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
statusHistory	Array of Object Output only. The previous job status. This object should have the same structure as JobStatus
yarnApplications	Array of Object 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
driverOutputResourceUri	string Output only. A URI pointing to the location of the stdout of the job's driver program.
driverControlFilesUri	string 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`.
labels	Object with string properties 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.
scheduling	Object Optional. Job scheduling configuration. This object should have the same structure as JobScheduling
jobUuid	string 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.

See also: google.cloud.dataproc.v1.Job definition in proto format

JobPlacement

static

Cloud Dataproc job config.

Properties

Parameter
clusterName	string Required. The name of the cluster where the job will be submitted.
clusterUuid	string Output only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted.

Parameter

clusterName

string

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

clusterUuid

string

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

See also: google.cloud.dataproc.v1.JobPlacement definition in proto format

JobReference

static

Encapsulates the full scoping used to reference a job.

Properties

Parameter

projectId

string

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

jobId

string

Optional. The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or hyphens (-). The maximum length is 100 characters.

See also: google.cloud.dataproc.v1.JobReference definition in proto format

JobScheduling

static

Job scheduling options.

Property

Parameter
maxFailuresPerHour	number 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.

Parameter

maxFailuresPerHour

number

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.

See also: google.cloud.dataproc.v1.JobScheduling definition in proto format

JobStatus

static

Cloud Dataproc job status.

Properties

Parameter
state	number Output only. A state message specifying the overall job state. The number should be among the values of State
details	string Output only. Optional job state details, such as an error description if the state is `ERROR`.
stateStartTime	Object Output only. The time when this state was entered. This object should have the same structure as Timestamp
substate	number Output only. Additional state information, which includes status reported by the agent. The number should be among the values of Substate

See also: google.cloud.dataproc.v1.JobStatus definition in proto format

ListClustersRequest

static

A request to list the clusters in a project.

Properties

Parameter
projectId	string Required. The ID of the Google Cloud Platform project that the cluster belongs to.
region	string Required. The Cloud Dataproc region in which to handle the request.
filter	string 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 =
pageSize	number Optional. The standard List page size.
pageToken	string Optional. The standard List page token.

See also: google.cloud.dataproc.v1.ListClustersRequest definition in proto format

ListClustersResponse

static

The list of all clusters in a project.

Properties

Parameter

clusters

Array of Object

Output only. The clusters in the project.

This object should have the same structure as Cluster

nextPageToken

string

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.

See also: google.cloud.dataproc.v1.ListClustersResponse definition in proto format

ListJobsRequest

static

A request to list jobs in a project.

Properties

Parameter
projectId	string Required. The ID of the Google Cloud Platform project that the job belongs to.
region	string Required. The Cloud Dataproc region in which to handle the request.
pageSize	number Optional. The number of results to return in each response.
pageToken	string Optional. The page token, returned by a previous call, to request the next page of results.
clusterName	string Optional. If set, the returned jobs list includes only jobs that were submitted to the named cluster.
jobStateMatcher	number 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
filter	string 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 =

See also: google.cloud.dataproc.v1.ListJobsRequest definition in proto format

ListJobsResponse

static

A list of jobs in a project.

Properties

Parameter

jobs

Array of Object

Output only. Jobs list.

This object should have the same structure as Job

nextPageToken

string

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.

See also: google.cloud.dataproc.v1.ListJobsResponse definition in proto format

ListWorkflowTemplatesRequest

static

A request to list workflow templates in a project.

Properties

Parameter

parent

string

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}

pageSize

number

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

pageToken

string

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

See also: google.cloud.dataproc.v1.ListWorkflowTemplatesRequest definition in proto format

ListWorkflowTemplatesResponse

static

A response to a request to list workflow templates in a project.

Properties

Parameter

templates

Array of Object

Output only. WorkflowTemplates list.

This object should have the same structure as WorkflowTemplate

nextPageToken

string

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.

See also: google.cloud.dataproc.v1.ListWorkflowTemplatesResponse definition in proto format

LoggingConfig

static

The runtime logging config of the job.

Property

Parameter

driverLogLevels

Object with number properties

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'

See also: google.cloud.dataproc.v1.LoggingConfig definition in proto format

ManagedCluster

static

Cluster that is managed by the workflow.

Properties

Parameter

clusterName

string

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.

config

Object

Required. The cluster configuration.

This object should have the same structure as ClusterConfig

labels

Object with string properties

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.

See also: google.cloud.dataproc.v1.ManagedCluster definition in proto format

ManagedGroupConfig

static

Specifies the resources used to actively manage an instance group.

Properties

Parameter

instanceTemplateName

string

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

instanceGroupManagerName

string

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

See also: google.cloud.dataproc.v1.ManagedGroupConfig definition in proto format

NodeInitializationAction

static

Specifies an executable to run on a fully configured node and a timeout period for executable completion.

Properties

Parameter

executableFile

string

Required. Cloud Storage URI of executable file.

executionTimeout

Object

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

See also: google.cloud.dataproc.v1.NodeInitializationAction definition in proto format

OrderedJob

static

A job executed by the workflow.

Properties

Parameter
stepId	string 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.
hadoopJob	Object Job is a Hadoop job. This object should have the same structure as HadoopJob
sparkJob	Object Job is a Spark job. This object should have the same structure as SparkJob
pysparkJob	Object Job is a Pyspark job. This object should have the same structure as PySparkJob
hiveJob	Object Job is a Hive job. This object should have the same structure as HiveJob
pigJob	Object Job is a Pig job. This object should have the same structure as PigJob
sparkSqlJob	Object Job is a SparkSql job. This object should have the same structure as SparkSqlJob
labels	Object with string properties 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.
scheduling	Object Optional. Job scheduling configuration. This object should have the same structure as JobScheduling
prerequisiteStepIds	Array of string Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.

See also: google.cloud.dataproc.v1.OrderedJob definition in proto format

ParameterValidation

static

Configuration for parameter validation.

Properties

Parameter

regex

Object

Validation based on regular expressions.

This object should have the same structure as RegexValidation

values

Object

Validation based on a list of allowed values.

This object should have the same structure as ValueValidation

See also: google.cloud.dataproc.v1.ParameterValidation definition in proto format

PigJob

static

A Cloud Dataproc job for running Apache Pig queries on YARN.

Properties

Parameter
queryFileUri	string The HCFS URI of the script that contains the Pig queries.
queryList	Object A list of queries. This object should have the same structure as QueryList
continueOnFailure	boolean 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.
scriptVariables	Object with string properties Optional. Mapping of query variable names to values (equivalent to the Pig command: `name=[value]`).
properties	Object with string properties 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.
jarFileUris	Array of string Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
loggingConfig	Object Optional. The runtime log config for job execution. This object should have the same structure as LoggingConfig

See also: google.cloud.dataproc.v1.PigJob definition in proto format

PySparkJob

static

A Cloud Dataproc job for running Apache PySpark applications on YARN.

Properties

Parameter
mainPythonFileUri	string Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
args	Array of string 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.
pythonFileUris	Array of string Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
jarFileUris	Array of string Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
fileUris	Array of string Optional. HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.
archiveUris	Array of string Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
properties	Object with string properties 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.
loggingConfig	Object Optional. The runtime log config for job execution. This object should have the same structure as LoggingConfig

See also: google.cloud.dataproc.v1.PySparkJob definition in proto format

QueryList

static

A list of queries to run on a cluster.

Property

Parameter

queries

Array of string

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",
      ]
    }
  }

See also: google.cloud.dataproc.v1.QueryList definition in proto format

RegexValidation

static

Validation based on regular expressions.

Property

Parameter

regexes

Array of string

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).

See also: google.cloud.dataproc.v1.RegexValidation definition in proto format

SoftwareConfig

static

Specifies the selection and config of software inside the cluster.

Properties

Parameter

imageVersion

string

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 version.

properties

Object with string properties

Optional. The properties to set on daemon config files.

Property keys are specified in prefix:property format, such as core:fs.defaultFS. 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.

See also: google.cloud.dataproc.v1.SoftwareConfig definition in proto format

SparkJob

static

A Cloud Dataproc job for running Apache Spark applications on YARN.

Properties

Parameter
mainJarFileUri	string The HCFS URI of the jar file that contains the main class.
mainClass	string 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`.
args	Array of string 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.
jarFileUris	Array of string Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
fileUris	Array of string Optional. HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.
archiveUris	Array of string 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.
properties	Object with string properties 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.
loggingConfig	Object Optional. The runtime log config for job execution. This object should have the same structure as LoggingConfig

See also: google.cloud.dataproc.v1.SparkJob definition in proto format

SparkSqlJob

static

A Cloud Dataproc job for running Apache Spark SQL queries.

Properties

Parameter
queryFileUri	string The HCFS URI of the script that contains SQL queries.
queryList	Object A list of queries. This object should have the same structure as QueryList
scriptVariables	Object with string properties Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET `name="value";`).
properties	Object with string properties 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.
jarFileUris	Array of string Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
loggingConfig	Object Optional. The runtime log config for job execution. This object should have the same structure as LoggingConfig

See also: google.cloud.dataproc.v1.SparkSqlJob definition in proto format

SubmitJobRequest

static

A request to submit a job.

Properties

Parameter
projectId	string Required. The ID of the Google Cloud Platform project that the job belongs to.
region	string Required. The Cloud Dataproc region in which to handle the request.
job	Object Required. The job resource. This object should have the same structure as Job
requestId	string 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.

See also: google.cloud.dataproc.v1.SubmitJobRequest definition in proto format

TemplateParameter

static

A configurable parameter that replaces one or more fields in the template. Parameterizable fields:

Labels
File uris
Job properties
Job arguments
Script variables
Main class (in HadoopJob and SparkJob)
Zone (in ClusterSelector)

Properties

Parameter
name	string 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.
fields	Array of string 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
description	string Optional. Brief description of the parameter. Must not exceed 1024 characters.
validation	Object Optional. Validation rules to be applied to this parameter's value. This object should have the same structure as ParameterValidation

See also: google.cloud.dataproc.v1.TemplateParameter definition in proto format

UpdateClusterRequest

static

A request to update a cluster.

Properties

Parameter

projectId

string

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

region

string

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

clusterName

string

Required. The cluster name.

cluster

Object

Required. The changes to the cluster.

This object should have the same structure as Cluster

gracefulDecommissionTimeout

Object

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

updateMask

Object

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:

Mask	Purpose
*labels*	Update labels
*config.worker_config.num_instances*	Resize primary worker group
*config.secondary_worker_config.num_instances*	Resize secondary worker group

This object should have the same structure as FieldMask

requestId

string

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.

See also: google.cloud.dataproc.v1.UpdateClusterRequest definition in proto format

UpdateJobRequest

static

A request to update a job.

Properties

Parameter
projectId	string Required. The ID of the Google Cloud Platform project that the job belongs to.
region	string Required. The Cloud Dataproc region in which to handle the request.
jobId	string Required. The job ID.
job	Object Required. The changes to the job. This object should have the same structure as Job
updateMask	Object 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

See also: google.cloud.dataproc.v1.UpdateJobRequest definition in proto format

UpdateWorkflowTemplateRequest

static

A request to update a workflow template.

Property

Parameter

template

Object

Required. The updated workflow template.

The template.version field must match the current version.

This object should have the same structure as WorkflowTemplate

See also: google.cloud.dataproc.v1.UpdateWorkflowTemplateRequest definition in proto format

ValueValidation

static

Validation based on a list of allowed values.

Property

Parameter

values

Array of string

Required. List of allowed values for the parameter.

See also: google.cloud.dataproc.v1.ValueValidation definition in proto format

WorkflowGraph

static

The workflow graph.

Property

Parameter

nodes

Array of Object

Output only. The workflow nodes.

This object should have the same structure as WorkflowNode

See also: google.cloud.dataproc.v1.WorkflowGraph definition in proto format

WorkflowMetadata

static

A Cloud Dataproc workflow template resource.

Properties

Parameter
template	string Output only. The "resource name" of the template.
version	number Output only. The version of template at the time of workflow instantiation.
createCluster	Object Output only. The create cluster operation metadata. This object should have the same structure as ClusterOperation
graph	Object Output only. The workflow graph. This object should have the same structure as WorkflowGraph
deleteCluster	Object Output only. The delete cluster operation metadata. This object should have the same structure as ClusterOperation
state	number Output only. The workflow state. The number should be among the values of State
clusterName	string Output only. The name of the target cluster.
parameters	Object with string properties Map from parameter names to values that were used for those parameters.
startTime	Object Output only. Workflow start time. This object should have the same structure as Timestamp
endTime	Object Output only. Workflow end time. This object should have the same structure as Timestamp
clusterUuid	string Output only. The UUID of target cluster.

See also: google.cloud.dataproc.v1.WorkflowMetadata definition in proto format

WorkflowNode

static

The workflow node.

Properties

Parameter
stepId	string Output only. The name of the node.
prerequisiteStepIds	Array of string Output only. Node's prerequisite nodes.
jobId	string Output only. The job id; populated after the node enters RUNNING state.
state	number Output only. The node state. The number should be among the values of NodeState
error	string Output only. The error detail.

See also: google.cloud.dataproc.v1.WorkflowNode definition in proto format

WorkflowTemplate

static

A Cloud Dataproc workflow template resource.

Properties

Parameter
id	string 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.
name	string 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}`
version	number 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.
createTime	Object Output only. The time template was created. This object should have the same structure as Timestamp
updateTime	Object Output only. The time template was last updated. This object should have the same structure as Timestamp
labels	Object with string properties 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.
placement	Object Required. WorkflowTemplate scheduling information. This object should have the same structure as WorkflowTemplatePlacement
jobs	Array of Object Required. The Directed Acyclic Graph of Jobs to submit. This object should have the same structure as OrderedJob
parameters	Array of Object 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

See also: google.cloud.dataproc.v1.WorkflowTemplate definition in proto format

WorkflowTemplatePlacement

static

Specifies workflow execution target.

Either managed_cluster or cluster_selector is required.

Properties

Parameter

managedCluster

Object

Optional. A cluster that is managed by the workflow.

This object should have the same structure as ManagedCluster

clusterSelector

Object

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

See also: google.cloud.dataproc.v1.WorkflowTemplatePlacement definition in proto format

YarnApplication

static

A YARN application created by a job. Application information is a subset of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto.

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

Properties

Parameter
name	string Required. The application name.
state	number Required. The application state. The number should be among the values of State
progress	number Required. The numerical progress of the application, from 1 to 100.
trackingUrl	string 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.

See also: google.cloud.dataproc.v1.YarnApplication definition in proto format