DataprocWorkflowTemplate

---

Property	Value
Google Cloud Service Name	Dataproc
Google Cloud Service Documentation	/dataproc/docs/
Google Cloud REST Resource Name	v1.projects.locations.workflowTemplates
Google Cloud REST Resource Documentation	/dataproc/docs/reference/rest/v1/projects.locations.workflowTemplates
Config Connector Resource Short Names	gcpdataprocworkflowtemplate gcpdataprocworkflowtemplates dataprocworkflowtemplate
Config Connector Service Name	dataproc.googleapis.com
Config Connector Resource Fully Qualified Name	dataprocworkflowtemplates.dataproc.cnrm.cloud.google.com
Can Be Referenced by IAMPolicy/IAMPolicyMember	No
Config Connector Default Average Reconcile Interval In Seconds	600

Custom Resource Definition Properties

Spec

Schema

dagTimeout: string
jobs:
- hadoopJob:
    archiveUris:
    - string
    args:
    - string
    fileUris:
    - string
    jarFileUris:
    - string
    loggingConfig:
      driverLogLevels:
        string: string
    mainClass: string
    mainJarFileUri: string
    properties:
      string: string
  hiveJob:
    continueOnFailure: boolean
    jarFileUris:
    - string
    properties:
      string: string
    queryFileUri: string
    queryList:
      queries:
      - string
    scriptVariables:
      string: string
  labels:
    string: string
  pigJob:
    continueOnFailure: boolean
    jarFileUris:
    - string
    loggingConfig:
      driverLogLevels:
        string: string
    properties:
      string: string
    queryFileUri: string
    queryList:
      queries:
      - string
    scriptVariables:
      string: string
  prerequisiteStepIds:
  - string
  prestoJob:
    clientTags:
    - string
    continueOnFailure: boolean
    loggingConfig:
      driverLogLevels:
        string: string
    outputFormat: string
    properties:
      string: string
    queryFileUri: string
    queryList:
      queries:
      - string
  pysparkJob:
    archiveUris:
    - string
    args:
    - string
    fileUris:
    - string
    jarFileUris:
    - string
    loggingConfig:
      driverLogLevels:
        string: string
    mainPythonFileUri: string
    properties:
      string: string
    pythonFileUris:
    - string
  scheduling:
    maxFailuresPerHour: integer
    maxFailuresTotal: integer
  sparkJob:
    archiveUris:
    - string
    args:
    - string
    fileUris:
    - string
    jarFileUris:
    - string
    loggingConfig:
      driverLogLevels:
        string: string
    mainClass: string
    mainJarFileUri: string
    properties:
      string: string
  sparkRJob:
    archiveUris:
    - string
    args:
    - string
    fileUris:
    - string
    loggingConfig:
      driverLogLevels:
        string: string
    mainRFileUri: string
    properties:
      string: string
  sparkSqlJob:
    jarFileUris:
    - string
    loggingConfig:
      driverLogLevels:
        string: string
    properties:
      string: string
    queryFileUri: string
    queryList:
      queries:
      - string
    scriptVariables:
      string: string
  stepId: string
location: string
parameters:
- description: string
  fields:
  - string
  name: string
  validation:
    regex:
      regexes:
      - string
    values:
      values:
      - string
placement:
  clusterSelector:
    clusterLabels:
      string: string
    zone: string
  managedCluster:
    clusterName: string
    config:
      autoscalingConfig:
        policyRef:
          external: string
          name: string
          namespace: string
      encryptionConfig:
        gcePdKmsKeyRef:
          external: string
          name: string
          namespace: string
      endpointConfig:
        enableHttpPortAccess: boolean
      gceClusterConfig:
        internalIPOnly: boolean
        metadata:
          string: string
        networkRef:
          external: string
          name: string
          namespace: string
        nodeGroupAffinity:
          nodeGroupRef:
            external: string
            name: string
            namespace: string
        privateIPv6GoogleAccess: string
        reservationAffinity:
          consumeReservationType: string
          key: string
          values:
          - string
        serviceAccountRef:
          external: string
          name: string
          namespace: string
        serviceAccountScopes:
        - string
        shieldedInstanceConfig:
          enableIntegrityMonitoring: boolean
          enableSecureBoot: boolean
          enableVtpm: boolean
        subnetworkRef:
          external: string
          name: string
          namespace: string
        tags:
        - string
        zone: string
      initializationActions:
      - executableFile: string
        executionTimeout: string
      lifecycleConfig:
        autoDeleteTime: string
        autoDeleteTtl: string
        idleDeleteTtl: string
      masterConfig:
        accelerators:
        - acceleratorCount: integer
          acceleratorType: string
        diskConfig:
          bootDiskSizeGb: integer
          bootDiskType: string
          numLocalSsds: integer
        imageRef:
          external: string
          name: string
          namespace: string
        machineType: string
        minCpuPlatform: string
        numInstances: integer
        preemptibility: string
      secondaryWorkerConfig:
        accelerators:
        - acceleratorCount: integer
          acceleratorType: string
        diskConfig:
          bootDiskSizeGb: integer
          bootDiskType: string
          numLocalSsds: integer
        imageRef:
          external: string
          name: string
          namespace: string
        machineType: string
        minCpuPlatform: string
        numInstances: integer
        preemptibility: string
      securityConfig:
        kerberosConfig:
          crossRealmTrustAdminServer: string
          crossRealmTrustKdc: string
          crossRealmTrustRealm: string
          crossRealmTrustSharedPassword: string
          enableKerberos: boolean
          kdcDbKey: string
          keyPassword: string
          keystore: string
          keystorePassword: string
          kmsKeyRef:
            external: string
            name: string
            namespace: string
          realm: string
          rootPrincipalPassword: string
          tgtLifetimeHours: integer
          truststore: string
          truststorePassword: string
      softwareConfig:
        imageVersion: string
        optionalComponents:
        - string
        properties:
          string: string
      stagingBucketRef:
        external: string
        name: string
        namespace: string
      tempBucketRef:
        external: string
        name: string
        namespace: string
      workerConfig:
        accelerators:
        - acceleratorCount: integer
          acceleratorType: string
        diskConfig:
          bootDiskSizeGb: integer
          bootDiskType: string
          numLocalSsds: integer
        imageRef:
          external: string
          name: string
          namespace: string
        machineType: string
        minCpuPlatform: string
        numInstances: integer
        preemptibility: string
    labels:
      string: string
projectRef:
  external: string
  name: string
  namespace: string
resourceID: string

Fields
dagTimeout Optional	string Immutable. Optional. Timeout duration for the DAG of jobs, expressed in seconds (see [JSON representation of duration](https://developers.google.com/protocol-buffers/docs/proto3#json)). The timeout duration must be from 10 minutes ("600s") to 24 hours ("86400s"). The timer begins when the first job is submitted. If the workflow is running at the end of the timeout period, any remaining jobs are cancelled, the workflow is ended, and if the workflow was running on a [managed cluster](/dataproc/docs/concepts/workflows/using-workflows#configuring_or_selecting_a_cluster), the cluster is deleted.
jobs Required	list (object) Immutable. Required. The Directed Acyclic Graph of Jobs to submit.
jobs[] Required	object
jobs[].hadoopJob Optional	object Immutable. Optional. Job is a Hadoop job.
jobs[].hadoopJob.archiveUris Optional	list (string) Immutable. 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.
jobs[].hadoopJob.archiveUris[] Optional	string
jobs[].hadoopJob.args Optional	list (string) Immutable. 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.
jobs[].hadoopJob.args[] Optional	string
jobs[].hadoopJob.fileUris Optional	list (string) Immutable. 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.
jobs[].hadoopJob.fileUris[] Optional	string
jobs[].hadoopJob.jarFileUris Optional	list (string) Immutable. Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.
jobs[].hadoopJob.jarFileUris[] Optional	string
jobs[].hadoopJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].hadoopJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].hadoopJob.mainClass Optional	string Immutable. 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`.
jobs[].hadoopJob.mainJarFileUri Optional	string Immutable. 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'
jobs[].hadoopJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.
jobs[].hiveJob Optional	object Immutable. Optional. Job is a Hive job.
jobs[].hiveJob.continueOnFailure Optional	boolean Immutable. 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.
jobs[].hiveJob.jarFileUris Optional	list (string) Immutable. 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.
jobs[].hiveJob.jarFileUris[] Optional	string
jobs[].hiveJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the 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.
jobs[].hiveJob.queryFileUri Optional	string Immutable. The HCFS URI of the script that contains Hive queries.
jobs[].hiveJob.queryList Optional	object Immutable. A list of queries.
jobs[].hiveJob.queryList.queries Required*	list (string) Immutable. Required. The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
jobs[].hiveJob.queryList.queries[] Required*	string
jobs[].hiveJob.scriptVariables Optional	map (key: string, value: string) Immutable. Optional. Mapping of query variable names to values (equivalent to the Hive command: `SET name="value";`).
jobs[].labels Optional	map (key: string, value: string) Immutable. 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}{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.
jobs[].pigJob Optional	object Immutable. Optional. Job is a Pig job.
jobs[].pigJob.continueOnFailure Optional	boolean Immutable. 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.
jobs[].pigJob.jarFileUris Optional	list (string) Immutable. Optional. HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
jobs[].pigJob.jarFileUris[] Optional	string
jobs[].pigJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].pigJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].pigJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the 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.
jobs[].pigJob.queryFileUri Optional	string Immutable. The HCFS URI of the script that contains the Pig queries.
jobs[].pigJob.queryList Optional	object Immutable. A list of queries.
jobs[].pigJob.queryList.queries Required*	list (string) Immutable. Required. The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
jobs[].pigJob.queryList.queries[] Required*	string
jobs[].pigJob.scriptVariables Optional	map (key: string, value: string) Immutable. Optional. Mapping of query variable names to values (equivalent to the Pig command: `name=[value]`).
jobs[].prerequisiteStepIds Optional	list (string) Immutable. Optional. The optional list of prerequisite job step_ids. If not specified, the job will start at the beginning of workflow.
jobs[].prerequisiteStepIds[] Optional	string
jobs[].prestoJob Optional	object Immutable. Optional. Job is a Presto job.
jobs[].prestoJob.clientTags Optional	list (string) Immutable. Optional. Presto client tags to attach to this query
jobs[].prestoJob.clientTags[] Optional	string
jobs[].prestoJob.continueOnFailure Optional	boolean Immutable. 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.
jobs[].prestoJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].prestoJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].prestoJob.outputFormat Optional	string Immutable. Optional. The format in which query output will be displayed. See the Presto documentation for supported output formats
jobs[].prestoJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values. Used to set Presto [session properties](https://prestodb.io/docs/current/sql/set-session.html) Equivalent to using the --session flag in the Presto CLI
jobs[].prestoJob.queryFileUri Optional	string Immutable. The HCFS URI of the script that contains SQL queries.
jobs[].prestoJob.queryList Optional	object Immutable. A list of queries.
jobs[].prestoJob.queryList.queries Required*	list (string) Immutable. Required. The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
jobs[].prestoJob.queryList.queries[] Required*	string
jobs[].pysparkJob Optional	object Immutable. Optional. Job is a PySpark job.
jobs[].pysparkJob.archiveUris Optional	list (string) Immutable. Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
jobs[].pysparkJob.archiveUris[] Optional	string
jobs[].pysparkJob.args Optional	list (string) Immutable. 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.
jobs[].pysparkJob.args[] Optional	string
jobs[].pysparkJob.fileUris Optional	list (string) Immutable. Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
jobs[].pysparkJob.fileUris[] Optional	string
jobs[].pysparkJob.jarFileUris Optional	list (string) Immutable. Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
jobs[].pysparkJob.jarFileUris[] Optional	string
jobs[].pysparkJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].pysparkJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].pysparkJob.mainPythonFileUri Required*	string Immutable. Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
jobs[].pysparkJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
jobs[].pysparkJob.pythonFileUris Optional	list (string) Immutable. Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
jobs[].pysparkJob.pythonFileUris[] Optional	string
jobs[].scheduling Optional	object Immutable. Optional. Job scheduling configuration.
jobs[].scheduling.maxFailuresPerHour Optional	integer Immutable. Optional. Maximum number of times per hour a driver may be restarted as a result of driver exiting 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.
jobs[].scheduling.maxFailuresTotal Optional	integer Immutable. Optional. Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed. Maximum value is 240.
jobs[].sparkJob Optional	object Immutable. Optional. Job is a Spark job.
jobs[].sparkJob.archiveUris Optional	list (string) Immutable. Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
jobs[].sparkJob.archiveUris[] Optional	string
jobs[].sparkJob.args Optional	list (string) Immutable. 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.
jobs[].sparkJob.args[] Optional	string
jobs[].sparkJob.fileUris Optional	list (string) Immutable. Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
jobs[].sparkJob.fileUris[] Optional	string
jobs[].sparkJob.jarFileUris Optional	list (string) Immutable. Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
jobs[].sparkJob.jarFileUris[] Optional	string
jobs[].sparkJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].sparkJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].sparkJob.mainClass Optional	string Immutable. 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`.
jobs[].sparkJob.mainJarFileUri Optional	string Immutable. The HCFS URI of the jar file that contains the main class.
jobs[].sparkJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
jobs[].sparkRJob Optional	object Immutable. Optional. Job is a SparkR job.
jobs[].sparkRJob.archiveUris Optional	list (string) Immutable. Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
jobs[].sparkRJob.archiveUris[] Optional	string
jobs[].sparkRJob.args Optional	list (string) Immutable. 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.
jobs[].sparkRJob.args[] Optional	string
jobs[].sparkRJob.fileUris Optional	list (string) Immutable. Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
jobs[].sparkRJob.fileUris[] Optional	string
jobs[].sparkRJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].sparkRJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].sparkRJob.mainRFileUri Required*	string Immutable. Required. The HCFS URI of the main R file to use as the driver. Must be a .R file.
jobs[].sparkRJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values, used to configure SparkR. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.
jobs[].sparkSqlJob Optional	object Immutable. Optional. Job is a SparkSql job.
jobs[].sparkSqlJob.jarFileUris Optional	list (string) Immutable. Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.
jobs[].sparkSqlJob.jarFileUris[] Optional	string
jobs[].sparkSqlJob.loggingConfig Optional	object Immutable. Optional. The runtime log config for job execution.
jobs[].sparkSqlJob.loggingConfig.driverLogLevels Optional	map (key: string, value: string) Immutable. 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'
jobs[].sparkSqlJob.properties Optional	map (key: string, value: string) Immutable. Optional. A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Dataproc API may be overwritten.
jobs[].sparkSqlJob.queryFileUri Optional	string Immutable. The HCFS URI of the script that contains SQL queries.
jobs[].sparkSqlJob.queryList Optional	object Immutable. A list of queries.
jobs[].sparkSqlJob.queryList.queries Required*	list (string) Immutable. Required. The queries to execute. You do not need to end a query expression with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of a Dataproc API snippet that uses a QueryList to specify a HiveJob: "hiveJob": { "queryList": { "queries": [ "query1", "query2", "query3;query4", ] } }
jobs[].sparkSqlJob.queryList.queries[] Required*	string
jobs[].sparkSqlJob.scriptVariables Optional	map (key: string, value: string) Immutable. Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET `name="value";`).
jobs[].stepId Required	string Immutable. 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.
location Required	string Immutable. The location for the resource
parameters Optional	list (object) Immutable. Optional. Template parameters whose values are substituted into the template. Values for parameters must be provided when the template is instantiated.
parameters[] Optional	object
parameters[].description Optional	string Immutable. Optional. Brief description of the parameter. Must not exceed 1024 characters.
parameters[].fields Required*	list (string) Immutable. 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
parameters[].fields[] Required*	string
parameters[].name Required*	string Immutable. 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.
parameters[].validation Optional	object Immutable. Optional. Validation rules to be applied to this parameter's value.
parameters[].validation.regex Optional	object Immutable. Validation based on regular expressions.
parameters[].validation.regex.regexes Required*	list (string) Immutable. 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).
parameters[].validation.regex.regexes[] Required*	string
parameters[].validation.values Optional	object Immutable. Validation based on a list of allowed values.
parameters[].validation.values.values Required*	list (string) Immutable. Required. List of allowed values for the parameter.
parameters[].validation.values.values[] Required*	string
placement Required	object Immutable. Required. WorkflowTemplate scheduling information.
placement.clusterSelector Optional	object Immutable. Optional. A selector that chooses target cluster for jobs based on metadata. The selector is evaluated at the time each job is submitted.
placement.clusterSelector.clusterLabels Required*	map (key: string, value: string) Immutable. Required. The cluster labels. Cluster must have all labels to match.
placement.clusterSelector.zone Optional	string Immutable. 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.
placement.managedCluster Optional	object Immutable. A cluster that is managed by the workflow.
placement.managedCluster.clusterName Required*	string Immutable. 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.
placement.managedCluster.config Required*	object Immutable. Required. The cluster configuration.
placement.managedCluster.config.autoscalingConfig Optional	object Immutable. Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
placement.managedCluster.config.autoscalingConfig.policyRef Optional	object Immutable.
placement.managedCluster.config.autoscalingConfig.policyRef.external Optional	string 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 Dataproc region. Allowed value: The Google Cloud resource name of a `DataprocAutoscalingPolicy` resource (format: `projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{name}}`).
placement.managedCluster.config.autoscalingConfig.policyRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.autoscalingConfig.policyRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.encryptionConfig Optional	object Immutable. Optional. Encryption settings for the cluster.
placement.managedCluster.config.encryptionConfig.gcePdKmsKeyRef Optional	object Immutable.
placement.managedCluster.config.encryptionConfig.gcePdKmsKeyRef.external Optional	string Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster. Allowed value: The `selfLink` field of a `KMSCryptoKey` resource.
placement.managedCluster.config.encryptionConfig.gcePdKmsKeyRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.encryptionConfig.gcePdKmsKeyRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.endpointConfig Optional	object Immutable. Optional. Port/endpoint configuration for this cluster
placement.managedCluster.config.endpointConfig.enableHttpPortAccess Optional	boolean Immutable. Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
placement.managedCluster.config.gceClusterConfig Optional	object Immutable. Optional. The shared Compute Engine config settings for all instances in a cluster.
placement.managedCluster.config.gceClusterConfig.internalIPOnly Optional	boolean Immutable. 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.
placement.managedCluster.config.gceClusterConfig.metadata Optional	map (key: string, value: string) Immutable. The Compute Engine metadata entries to add to all instances (see [Project and instance metadata](https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
placement.managedCluster.config.gceClusterConfig.networkRef Optional	object Immutable.
placement.managedCluster.config.gceClusterConfig.networkRef.external Optional	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](https://cloud.google.com/compute/docs/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` Allowed value: The `selfLink` field of a `ComputeNetwork` resource.
placement.managedCluster.config.gceClusterConfig.networkRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.gceClusterConfig.networkRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.gceClusterConfig.nodeGroupAffinity Optional	object Immutable. Optional. Node Group Affinity for sole-tenant clusters.
placement.managedCluster.config.gceClusterConfig.nodeGroupAffinity.nodeGroupRef Required*	object Immutable.
placement.managedCluster.config.gceClusterConfig.nodeGroupAffinity.nodeGroupRef.external Optional	string Required. The URI of a sole-tenant [node group resource](https://cloud.google.com/compute/docs/reference/rest/v1/nodeGroups) that the cluster will be created on. A full URL, partial URI, or node group name are valid. Examples: * `https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1` * `projects/[project_id]/zones/us-central1-a/nodeGroups/node-group-1` * `node-group-1` Allowed value: The `selfLink` field of a `ComputeNodeGroup` resource.
placement.managedCluster.config.gceClusterConfig.nodeGroupAffinity.nodeGroupRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.gceClusterConfig.nodeGroupAffinity.nodeGroupRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.gceClusterConfig.privateIPv6GoogleAccess Optional	string Immutable. Optional. The type of IPv6 access for a cluster. Possible values: PRIVATE_IPV6_GOOGLE_ACCESS_UNSPECIFIED, INHERIT_FROM_SUBNETWORK, OUTBOUND, BIDIRECTIONAL
placement.managedCluster.config.gceClusterConfig.reservationAffinity Optional	object Immutable. Optional. Reservation Affinity for consuming Zonal reservation.
placement.managedCluster.config.gceClusterConfig.reservationAffinity.consumeReservationType Optional	string Immutable. Optional. Type of reservation to consume Possible values: TYPE_UNSPECIFIED, NO_RESERVATION, ANY_RESERVATION, SPECIFIC_RESERVATION
placement.managedCluster.config.gceClusterConfig.reservationAffinity.key Optional	string Immutable. Optional. Corresponds to the label key of reservation resource.
placement.managedCluster.config.gceClusterConfig.reservationAffinity.values Optional	list (string) Immutable. Optional. Corresponds to the label values of reservation resource.
placement.managedCluster.config.gceClusterConfig.reservationAffinity.values[] Optional	string
placement.managedCluster.config.gceClusterConfig.serviceAccountRef Optional	object Immutable.
placement.managedCluster.config.gceClusterConfig.serviceAccountRef.external Optional	string Optional. The [Dataproc service account](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#service_accounts_in_dataproc) (also see [VM Data Plane identity](https://cloud.google.com/dataproc/docs/concepts/iam/dataproc-principals#vm_service_account_data_plane_identity)) used by Dataproc cluster VM instances to access Google Cloud Platform services. If not specified, the [Compute Engine default service account](https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used. Allowed value: The `email` field of an `IAMServiceAccount` resource.
placement.managedCluster.config.gceClusterConfig.serviceAccountRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.gceClusterConfig.serviceAccountRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.gceClusterConfig.serviceAccountScopes Optional	list (string) Immutable. 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
placement.managedCluster.config.gceClusterConfig.serviceAccountScopes[] Optional	string
placement.managedCluster.config.gceClusterConfig.shieldedInstanceConfig Optional	object Immutable. Optional. Shielded Instance Config for clusters using Compute Engine Shielded VMs.
placement.managedCluster.config.gceClusterConfig.shieldedInstanceConfig.enableIntegrityMonitoring Optional	boolean Immutable. Optional. Defines whether instances have integrity monitoring enabled. Integrity monitoring compares the most recent boot measurements to the integrity policy baseline and returns a pair of pass/fail results depending on whether they match or not.
placement.managedCluster.config.gceClusterConfig.shieldedInstanceConfig.enableSecureBoot Optional	boolean Immutable. Optional. Defines whether the instances have Secure Boot enabled. Secure Boot helps ensure that the system only runs authentic software by verifying the digital signature of all boot components, and halting the boot process if signature verification fails.
placement.managedCluster.config.gceClusterConfig.shieldedInstanceConfig.enableVtpm Optional	boolean Immutable. Optional. Defines whether the instance have the vTPM enabled. Virtual Trusted Platform Module protects objects like keys, certificates and enables Measured Boot by performing the measurements needed to create a known good boot baseline, called the integrity policy baseline.
placement.managedCluster.config.gceClusterConfig.subnetworkRef Optional	object Immutable.
placement.managedCluster.config.gceClusterConfig.subnetworkRef.external Optional	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/subnetworks/sub0` * `projects/[project_id]/regions/us-east1/subnetworks/sub0` * `sub0` Allowed value: The `selfLink` field of a `ComputeSubnetwork` resource.
placement.managedCluster.config.gceClusterConfig.subnetworkRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.gceClusterConfig.subnetworkRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.gceClusterConfig.tags Optional	list (string) Immutable. The Compute Engine tags to add to all instances (see [Tagging instances](https://cloud.google.com/compute/docs/label-or-tag-resources#tags)).
placement.managedCluster.config.gceClusterConfig.tags[] Optional	string
placement.managedCluster.config.gceClusterConfig.zone Optional	string Immutable. 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 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`
placement.managedCluster.config.initializationActions Optional	list (object) Immutable. 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
placement.managedCluster.config.initializationActions[] Optional	object
placement.managedCluster.config.initializationActions[].executableFile Optional	string Immutable. Required. Cloud Storage URI of executable file.
placement.managedCluster.config.initializationActions[].executionTimeout Optional	string Immutable. Optional. Amount of time executable has to complete. Default is 10 minutes (see JSON representation of [Duration](https://developers.google.com/protocol-buffers/docs/proto3#json)). 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.
placement.managedCluster.config.lifecycleConfig Optional	object Immutable. Optional. Lifecycle setting for the cluster.
placement.managedCluster.config.lifecycleConfig.autoDeleteTime Optional	string Immutable. Optional. The time when cluster will be auto-deleted (see JSON representation of [Timestamp](https://developers.google.com/protocol-buffers/docs/proto3#json)).
placement.managedCluster.config.lifecycleConfig.autoDeleteTtl Optional	string Immutable. Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Minimum value is 10 minutes; maximum value is 14 days (see JSON representation of [Duration](https://developers.google.com/protocol-buffers/docs/proto3#json)).
placement.managedCluster.config.lifecycleConfig.idleDeleteTtl Optional	string Immutable. Optional. The duration to keep the cluster alive while idling (when no jobs are running). Passing this threshold will cause the cluster to be deleted. Minimum value is 5 minutes; maximum value is 14 days (see JSON representation of [Duration](https://developers.google.com/protocol-buffers/docs/proto3#json)).
placement.managedCluster.config.masterConfig Optional	object Immutable. Optional. The Compute Engine config settings for the master instance in a cluster.
placement.managedCluster.config.masterConfig.accelerators Optional	list (object) Immutable. Optional. The Compute Engine accelerator configuration for these instances.
placement.managedCluster.config.masterConfig.accelerators[] Optional	object
placement.managedCluster.config.masterConfig.accelerators[].acceleratorCount Optional	integer Immutable. The number of the accelerator cards of this type exposed to this instance.
placement.managedCluster.config.masterConfig.accelerators[].acceleratorType Optional	string Immutable. Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See [Compute Engine AcceleratorTypes](https://cloud.google.com/compute/docs/reference/beta/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 Dataproc [Auto Zone Placement](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, `nvidia-tesla-k80`.
placement.managedCluster.config.masterConfig.diskConfig Optional	object Immutable. Optional. Disk option config settings.
placement.managedCluster.config.masterConfig.diskConfig.bootDiskSizeGb Optional	integer Immutable. Optional. Size in GB of the boot disk (default is 500GB).
placement.managedCluster.config.masterConfig.diskConfig.bootDiskType Optional	string Immutable. Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See [Disk types](https://cloud.google.com/compute/docs/disks#disk-types).
placement.managedCluster.config.masterConfig.diskConfig.numLocalSsds Optional	integer Immutable. 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](https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) 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.
placement.managedCluster.config.masterConfig.imageRef Optional	object Immutable.
placement.managedCluster.config.masterConfig.imageRef.external Optional	string Optional. The Compute Engine image resource used for cluster instances. The URI can represent an image or image family. Image examples: * `https://www.googleapis.com/compute/beta/projects/[project_id]/global/images/[image-id]` * `projects/[project_id]/global/images/[image-id]` * `image-id` Image family examples. Dataproc will use the most recent image from the family: * `https://www.googleapis.com/compute/beta/projects/[project_id]/global/images/family/[custom-image-family-name]` * `projects/[project_id]/global/images/family/[custom-image-family-name]` If the URI is unspecified, it will be inferred from `SoftwareConfig.image_version` or the system default. Allowed value: The `selfLink` field of a `ComputeImage` resource.
placement.managedCluster.config.masterConfig.imageRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.masterConfig.imageRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.masterConfig.machineType Optional	string Immutable. 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 Dataproc [Auto Zone Placement](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, `n1-standard-2`.
placement.managedCluster.config.masterConfig.minCpuPlatform Optional	string Immutable. Optional. Specifies the minimum cpu platform for the Instance Group. See [Dataproc -> Minimum CPU Platform](https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
placement.managedCluster.config.masterConfig.numInstances Optional	integer Immutable. Optional. The number of VM instances in the instance group. For [HA cluster](/dataproc/docs/concepts/configuring-clusters/high-availability) [master_config](#FIELDS.master_config) groups, **must be set to 3**. For standard cluster [master_config](#FIELDS.master_config) groups, **must be set to 1**.
placement.managedCluster.config.masterConfig.preemptibility Optional	string Immutable. Optional. Specifies the preemptibility of the instance group. The default value for master and worker groups is `NON_PREEMPTIBLE`. This default cannot be changed. The default value for secondary instances is `PREEMPTIBLE`. Possible values: PREEMPTIBILITY_UNSPECIFIED, NON_PREEMPTIBLE, PREEMPTIBLE
placement.managedCluster.config.secondaryWorkerConfig Optional	object Immutable. Optional. The Compute Engine config settings for additional worker instances in a cluster.
placement.managedCluster.config.secondaryWorkerConfig.accelerators Optional	list (object) Immutable. Optional. The Compute Engine accelerator configuration for these instances.
placement.managedCluster.config.secondaryWorkerConfig.accelerators[] Optional	object
placement.managedCluster.config.secondaryWorkerConfig.accelerators[].acceleratorCount Optional	integer Immutable. The number of the accelerator cards of this type exposed to this instance.
placement.managedCluster.config.secondaryWorkerConfig.accelerators[].acceleratorType Optional	string Immutable. Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See [Compute Engine AcceleratorTypes](https://cloud.google.com/compute/docs/reference/beta/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 Dataproc [Auto Zone Placement](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, `nvidia-tesla-k80`.
placement.managedCluster.config.secondaryWorkerConfig.diskConfig Optional	object Immutable. Optional. Disk option config settings.
placement.managedCluster.config.secondaryWorkerConfig.diskConfig.bootDiskSizeGb Optional	integer Immutable. Optional. Size in GB of the boot disk (default is 500GB).
placement.managedCluster.config.secondaryWorkerConfig.diskConfig.bootDiskType Optional	string Immutable. Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See [Disk types](https://cloud.google.com/compute/docs/disks#disk-types).
placement.managedCluster.config.secondaryWorkerConfig.diskConfig.numLocalSsds Optional	integer Immutable. 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](https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) 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.
placement.managedCluster.config.secondaryWorkerConfig.imageRef Optional	object Immutable.
placement.managedCluster.config.secondaryWorkerConfig.imageRef.external Optional	string Optional. The Compute Engine image resource used for cluster instances. The URI can represent an image or image family. Image examples: * `https://www.googleapis.com/compute/beta/projects/[project_id]/global/images/[image-id]` * `projects/[project_id]/global/images/[image-id]` * `image-id` Image family examples. Dataproc will use the most recent image from the family: * `https://www.googleapis.com/compute/beta/projects/[project_id]/global/images/family/[custom-image-family-name]` * `projects/[project_id]/global/images/family/[custom-image-family-name]` If the URI is unspecified, it will be inferred from `SoftwareConfig.image_version` or the system default. Allowed value: The `selfLink` field of a `ComputeImage` resource.
placement.managedCluster.config.secondaryWorkerConfig.imageRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.secondaryWorkerConfig.imageRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.secondaryWorkerConfig.machineType Optional	string Immutable. 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 Dataproc [Auto Zone Placement](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, `n1-standard-2`.
placement.managedCluster.config.secondaryWorkerConfig.minCpuPlatform Optional	string Immutable. Optional. Specifies the minimum cpu platform for the Instance Group. See [Dataproc -> Minimum CPU Platform](https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
placement.managedCluster.config.secondaryWorkerConfig.numInstances Optional	integer Immutable. Optional. The number of VM instances in the instance group. For [HA cluster](/dataproc/docs/concepts/configuring-clusters/high-availability) [master_config](#FIELDS.master_config) groups, **must be set to 3**. For standard cluster [master_config](#FIELDS.master_config) groups, **must be set to 1**.
placement.managedCluster.config.secondaryWorkerConfig.preemptibility Optional	string Immutable. Optional. Specifies the preemptibility of the instance group. The default value for master and worker groups is `NON_PREEMPTIBLE`. This default cannot be changed. The default value for secondary instances is `PREEMPTIBLE`. Possible values: PREEMPTIBILITY_UNSPECIFIED, NON_PREEMPTIBLE, PREEMPTIBLE
placement.managedCluster.config.securityConfig Optional	object Immutable. Optional. Security settings for the cluster.
placement.managedCluster.config.securityConfig.kerberosConfig Optional	object Immutable. Optional. Kerberos related configuration.
placement.managedCluster.config.securityConfig.kerberosConfig.crossRealmTrustAdminServer Optional	string Immutable. Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
placement.managedCluster.config.securityConfig.kerberosConfig.crossRealmTrustKdc Optional	string Immutable. Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
placement.managedCluster.config.securityConfig.kerberosConfig.crossRealmTrustRealm Optional	string Immutable. Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
placement.managedCluster.config.securityConfig.kerberosConfig.crossRealmTrustSharedPassword Optional	string Immutable. 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.
placement.managedCluster.config.securityConfig.kerberosConfig.enableKerberos Optional	boolean Immutable. Optional. Flag to indicate whether to Kerberize the cluster (default: false). Set this field to true to enable Kerberos on a cluster.
placement.managedCluster.config.securityConfig.kerberosConfig.kdcDbKey Optional	string Immutable. Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
placement.managedCluster.config.securityConfig.kerberosConfig.keyPassword Optional	string Immutable. 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.
placement.managedCluster.config.securityConfig.kerberosConfig.keystore Optional	string Immutable. Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
placement.managedCluster.config.securityConfig.kerberosConfig.keystorePassword Optional	string Immutable. 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.
placement.managedCluster.config.securityConfig.kerberosConfig.kmsKeyRef Optional	object Immutable.
placement.managedCluster.config.securityConfig.kerberosConfig.kmsKeyRef.external Optional	string Optional. The uri of the KMS key used to encrypt various sensitive files. Allowed value: The `selfLink` field of a `KMSCryptoKey` resource.
placement.managedCluster.config.securityConfig.kerberosConfig.kmsKeyRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.securityConfig.kerberosConfig.kmsKeyRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.securityConfig.kerberosConfig.realm Optional	string Immutable. Optional. The name of the on-cluster Kerberos realm. If not specified, the uppercased domain of hostnames will be the realm.
placement.managedCluster.config.securityConfig.kerberosConfig.rootPrincipalPassword Optional	string Immutable. Optional. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
placement.managedCluster.config.securityConfig.kerberosConfig.tgtLifetimeHours Optional	integer Immutable. Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
placement.managedCluster.config.securityConfig.kerberosConfig.truststore Optional	string Immutable. Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
placement.managedCluster.config.securityConfig.kerberosConfig.truststorePassword Optional	string Immutable. 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.
placement.managedCluster.config.softwareConfig Optional	object Immutable. Optional. The config settings for software inside the cluster.
placement.managedCluster.config.softwareConfig.imageVersion Optional	string Immutable. Optional. The version of software inside the cluster. It must be one of the supported [Dataproc Versions](https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#supported_dataproc_versions), such as "1.2" (including a subminor version, such as "1.2.29"), or the ["preview" version](https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-versions#other_versions). If unspecified, it defaults to the latest Debian version.
placement.managedCluster.config.softwareConfig.optionalComponents Optional	list (string) Immutable. Optional. The set of components to activate on the cluster.
placement.managedCluster.config.softwareConfig.optionalComponents[] Optional	string
placement.managedCluster.config.softwareConfig.properties Optional	map (key: string, value: string) Immutable. 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](https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
placement.managedCluster.config.stagingBucketRef Optional	object Immutable.
placement.managedCluster.config.stagingBucketRef.external Optional	string Optional. A 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 Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see [Dataproc staging bucket](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). **This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.** Allowed value: The Google Cloud resource name of a `StorageBucket` resource (format: `{{name}}`).
placement.managedCluster.config.stagingBucketRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.stagingBucketRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.tempBucketRef Optional	object Immutable.
placement.managedCluster.config.tempBucketRef.external Optional	string Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket. **This field requires a Cloud Storage bucket name, not a URI to a Cloud Storage bucket.** Allowed value: The Google Cloud resource name of a `StorageBucket` resource (format: `{{name}}`).
placement.managedCluster.config.tempBucketRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.tempBucketRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.workerConfig Optional	object Immutable. Optional. The Compute Engine config settings for worker instances in a cluster.
placement.managedCluster.config.workerConfig.accelerators Optional	list (object) Immutable. Optional. The Compute Engine accelerator configuration for these instances.
placement.managedCluster.config.workerConfig.accelerators[] Optional	object
placement.managedCluster.config.workerConfig.accelerators[].acceleratorCount Optional	integer Immutable. The number of the accelerator cards of this type exposed to this instance.
placement.managedCluster.config.workerConfig.accelerators[].acceleratorType Optional	string Immutable. Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See [Compute Engine AcceleratorTypes](https://cloud.google.com/compute/docs/reference/beta/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 Dataproc [Auto Zone Placement](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type resource, for example, `nvidia-tesla-k80`.
placement.managedCluster.config.workerConfig.diskConfig Optional	object Immutable. Optional. Disk option config settings.
placement.managedCluster.config.workerConfig.diskConfig.bootDiskSizeGb Optional	integer Immutable. Optional. Size in GB of the boot disk (default is 500GB).
placement.managedCluster.config.workerConfig.diskConfig.bootDiskType Optional	string Immutable. Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-balanced" (Persistent Disk Balanced Solid State Drive), "pd-ssd" (Persistent Disk Solid State Drive), or "pd-standard" (Persistent Disk Hard Disk Drive). See [Disk types](https://cloud.google.com/compute/docs/disks#disk-types).
placement.managedCluster.config.workerConfig.diskConfig.numLocalSsds Optional	integer Immutable. 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](https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) 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.
placement.managedCluster.config.workerConfig.imageRef Optional	object Immutable.
placement.managedCluster.config.workerConfig.imageRef.external Optional	string Optional. The Compute Engine image resource used for cluster instances. The URI can represent an image or image family. Image examples: * `https://www.googleapis.com/compute/beta/projects/[project_id]/global/images/[image-id]` * `projects/[project_id]/global/images/[image-id]` * `image-id` Image family examples. Dataproc will use the most recent image from the family: * `https://www.googleapis.com/compute/beta/projects/[project_id]/global/images/family/[custom-image-family-name]` * `projects/[project_id]/global/images/family/[custom-image-family-name]` If the URI is unspecified, it will be inferred from `SoftwareConfig.image_version` or the system default. Allowed value: The `selfLink` field of a `ComputeImage` resource.
placement.managedCluster.config.workerConfig.imageRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
placement.managedCluster.config.workerConfig.imageRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
placement.managedCluster.config.workerConfig.machineType Optional	string Immutable. 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 Dataproc [Auto Zone Placement](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, `n1-standard-2`.
placement.managedCluster.config.workerConfig.minCpuPlatform Optional	string Immutable. Optional. Specifies the minimum cpu platform for the Instance Group. See [Dataproc -> Minimum CPU Platform](https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
placement.managedCluster.config.workerConfig.numInstances Optional	integer Immutable. Optional. The number of VM instances in the instance group. For [HA cluster](/dataproc/docs/concepts/configuring-clusters/high-availability) [master_config](#FIELDS.master_config) groups, **must be set to 3**. For standard cluster [master_config](#FIELDS.master_config) groups, **must be set to 1**.
placement.managedCluster.config.workerConfig.preemptibility Optional	string Immutable. Optional. Specifies the preemptibility of the instance group. The default value for master and worker groups is `NON_PREEMPTIBLE`. This default cannot be changed. The default value for secondary instances is `PREEMPTIBLE`. Possible values: PREEMPTIBILITY_UNSPECIFIED, NON_PREEMPTIBLE, PREEMPTIBLE
placement.managedCluster.labels Optional	map (key: string, value: string) Immutable. 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}{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.
projectRef Optional	object Immutable. The Project that this resource belongs to.
projectRef.external Optional	string The project for the resource Allowed value: The Google Cloud resource name of a `Project` resource (format: `projects/{{name}}`).
projectRef.name Optional	string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names
projectRef.namespace Optional	string Namespace of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/
resourceID Optional	string Immutable. Optional. The name of the resource. Used for creation and acquisition. When unset, the value of `metadata.name` is used as the default.

* Field is required when parent field is specified

Status

Schema

conditions:
- lastTransitionTime: string
  message: string
  reason: string
  status: string
  type: string
createTime: string
observedGeneration: integer
placement:
  managedCluster:
    config:
      endpointConfig:
        httpPorts:
          string: string
      lifecycleConfig:
        idleStartTime: string
      masterConfig:
        instanceNames:
        - string
        isPreemptible: boolean
        managedGroupConfig:
          instanceGroupManagerName: string
          instanceTemplateName: string
      secondaryWorkerConfig:
        instanceNames:
        - string
        isPreemptible: boolean
        managedGroupConfig:
          instanceGroupManagerName: string
          instanceTemplateName: string
      workerConfig:
        instanceNames:
        - string
        isPreemptible: boolean
        managedGroupConfig:
          instanceGroupManagerName: string
          instanceTemplateName: string
updateTime: string
version: integer

Fields
conditions	list (object) Conditions represent the latest available observation of the resource's current state.
conditions[]	object
conditions[].lastTransitionTime	string Last time the condition transitioned from one status to another.
conditions[].message	string Human-readable message indicating details about last transition.
conditions[].reason	string Unique, one-word, CamelCase reason for the condition's last transition.
conditions[].status	string Status is the status of the condition. Can be True, False, Unknown.
conditions[].type	string Type is the type of the condition.
createTime	string Output only. The time template was created.
observedGeneration	integer ObservedGeneration is the generation of the resource that was most recently observed by the Config Connector controller. If this is equal to metadata.generation, then that means that the current reported status reflects the most recent desired state of the resource.
placement	object
placement.managedCluster	object
placement.managedCluster.config	object
placement.managedCluster.config.endpointConfig	object
placement.managedCluster.config.endpointConfig.httpPorts	map (key: string, value: string) Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
placement.managedCluster.config.lifecycleConfig	object
placement.managedCluster.config.lifecycleConfig.idleStartTime	string Output only. The time when cluster became idle (most recent job finished) and became eligible for deletion due to idleness (see JSON representation of [Timestamp](https://developers.google.com/protocol-buffers/docs/proto3#json)).
placement.managedCluster.config.masterConfig	object
placement.managedCluster.config.masterConfig.instanceNames	list (string) Output only. The list of instance names. Dataproc derives the names from `cluster_name`, `num_instances`, and the instance group.
placement.managedCluster.config.masterConfig.instanceNames[]	string
placement.managedCluster.config.masterConfig.isPreemptible	boolean Output only. Specifies that this instance group contains preemptible instances.
placement.managedCluster.config.masterConfig.managedGroupConfig	object Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
placement.managedCluster.config.masterConfig.managedGroupConfig.instanceGroupManagerName	string Output only. The name of the Instance Group Manager for this group.
placement.managedCluster.config.masterConfig.managedGroupConfig.instanceTemplateName	string Output only. The name of the Instance Template used for the Managed Instance Group.
placement.managedCluster.config.secondaryWorkerConfig	object
placement.managedCluster.config.secondaryWorkerConfig.instanceNames	list (string) Output only. The list of instance names. Dataproc derives the names from `cluster_name`, `num_instances`, and the instance group.
placement.managedCluster.config.secondaryWorkerConfig.instanceNames[]	string
placement.managedCluster.config.secondaryWorkerConfig.isPreemptible	boolean Output only. Specifies that this instance group contains preemptible instances.
placement.managedCluster.config.secondaryWorkerConfig.managedGroupConfig	object Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
placement.managedCluster.config.secondaryWorkerConfig.managedGroupConfig.instanceGroupManagerName	string Output only. The name of the Instance Group Manager for this group.
placement.managedCluster.config.secondaryWorkerConfig.managedGroupConfig.instanceTemplateName	string Output only. The name of the Instance Template used for the Managed Instance Group.
placement.managedCluster.config.workerConfig	object
placement.managedCluster.config.workerConfig.instanceNames	list (string) Output only. The list of instance names. Dataproc derives the names from `cluster_name`, `num_instances`, and the instance group.
placement.managedCluster.config.workerConfig.instanceNames[]	string
placement.managedCluster.config.workerConfig.isPreemptible	boolean Output only. Specifies that this instance group contains preemptible instances.
placement.managedCluster.config.workerConfig.managedGroupConfig	object Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
placement.managedCluster.config.workerConfig.managedGroupConfig.instanceGroupManagerName	string Output only. The name of the Instance Group Manager for this group.
placement.managedCluster.config.workerConfig.managedGroupConfig.instanceTemplateName	string Output only. The name of the Instance Template used for the Managed Instance Group.
updateTime	string Output only. The time template was last updated.
version	integer Output only. The current version of this workflow template.

Sample YAML(s)

Typical Use Case

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: dataproc.cnrm.cloud.google.com/v1beta1
kind: DataprocWorkflowTemplate
metadata:
  labels:
    label-one: "value-one"
  name: dataprocworkflowtemplate-sample
spec:
  location: "us-central1"
  placement:
    managedCluster:
      clusterName: "test-cluster"
      config:
        autoscalingConfig:
          policyRef:
            name: dataprocworkflowtemplate-dep
        masterConfig:
          diskConfig:
            bootDiskSizeGb: 30
            bootDiskType: pd-standard
          machineType: "n2-standard-8"
          numInstances: 1
        workerConfig:
          numInstances: 2
          machineType: "n2-standard-8"
          diskConfig:
            bootDiskSizeGb: 30
            numLocalSsds: 1
        softwareConfig:
          imageVersion: "2.0.39-debian10"
        gceClusterConfig:
          tags:
          - "foo"
          - "bar"
  jobs:
  - stepId: "someJob"
    sparkJob:
      mainClass: "SomeClass"
  - stepId: "otherJob"
    prerequisiteStepIds:
    - "someJob"
    prestoJob:
      queryFileUri: "someUri"
---
apiVersion: dataproc.cnrm.cloud.google.com/v1beta1
kind: DataprocAutoscalingPolicy
metadata:
  name: dataprocworkflowtemplate-dep
spec:
  location: "us-central1"
  workerConfig:
    maxInstances: 5
  secondaryWorkerConfig:
    maxInstances: 2
  basicAlgorithm:
    yarnConfig:
      gracefulDecommissionTimeout: "30s"
      scaleDownFactor: 0.5
      scaleUpFactor: 1

Note: If you have any trouble with instantiating the resource, refer to Troubleshoot Config Connector.