"""Generated message classes for dataproc version v1.

Manages Hadoop-based clusters and jobs on Google Cloud Platform.
"""
# NOTE: This file is autogenerated and should not be edited by hand.

from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types


package = 'dataproc'


class AcceleratorConfig(_messages.Message):
  """Specifies the type and number of accelerator cards attached to the
  instances of an instance group (see GPUs on Compute Engine).

  Fields:
    acceleratorCount: The number of the accelerator cards of this type exposed
      to this instance.
    acceleratorTypeUri: Full URL, partial URI, or short name of the
      accelerator type resource to expose to this instance. See Google Compute
      Engine AcceleratorTypes(
      /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
  """

  acceleratorCount = _messages.IntegerField(1, variant=_messages.Variant.INT32)
  acceleratorTypeUri = _messages.StringField(2)


class CancelJobRequest(_messages.Message):
  """A request to cancel a job."""


class Cluster(_messages.Message):
  """Describes the identifying information, config, and status of a cluster of
  Google Compute Engine instances.

  Messages:
    LabelsValue: Optional. The labels to associate with this cluster. Label
      keys must contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a cluster.

  Fields:
    clusterName: Required. The cluster name. Cluster names within a project
      must be unique. Names of deleted clusters can be reused.
    clusterUuid: Output-only. A cluster UUID (Unique Universal Identifier).
      Cloud Dataproc generates this value when it creates the cluster.
    config: Required. The cluster config. Note that Cloud Dataproc may set
      default values, and values may change when clusters are updated.
    labels: Optional. The labels to associate with this cluster. Label keys
      must contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a cluster.
    metrics: 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.
    projectId: Required. The Google Cloud Platform project ID that the cluster
      belongs to.
    status: Output-only. Cluster status.
    statusHistory: Output-only. The previous cluster status.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class LabelsValue(_messages.Message):
    """Optional. The labels to associate with this cluster. Label keys must
    contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if
    present, must contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be
    associated with a cluster.

    Messages:
      AdditionalProperty: An additional property for a LabelsValue object.

    Fields:
      additionalProperties: Additional properties of type LabelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a LabelsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)
  config = _messages.MessageField('ClusterConfig', 3)
  labels = _messages.MessageField('LabelsValue', 4)
  metrics = _messages.MessageField('ClusterMetrics', 5)
  projectId = _messages.StringField(6)
  status = _messages.MessageField('ClusterStatus', 7)
  statusHistory = _messages.MessageField('ClusterStatus', 8, repeated=True)


class ClusterConfig(_messages.Message):
  """The cluster config.

  Fields:
    configBucket: Optional. A Google 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: Required. The shared Google Compute Engine config
      settings for all instances in a cluster.
    initializationActions: 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
    masterConfig: Optional. The Google Compute Engine config settings for the
      master instance in a cluster.
    secondaryWorkerConfig: Optional. The Google Compute Engine config settings
      for additional worker instances in a cluster.
    softwareConfig: Optional. The config settings for software inside the
      cluster.
    workerConfig: Optional. The Google Compute Engine config settings for
      worker instances in a cluster.
  """

  configBucket = _messages.StringField(1)
  gceClusterConfig = _messages.MessageField('GceClusterConfig', 2)
  initializationActions = _messages.MessageField('NodeInitializationAction', 3, repeated=True)
  masterConfig = _messages.MessageField('InstanceGroupConfig', 4)
  secondaryWorkerConfig = _messages.MessageField('InstanceGroupConfig', 5)
  softwareConfig = _messages.MessageField('SoftwareConfig', 6)
  workerConfig = _messages.MessageField('InstanceGroupConfig', 7)


class ClusterMetrics(_messages.Message):
  """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.

  Messages:
    HdfsMetricsValue: The HDFS metrics.
    YarnMetricsValue: The YARN metrics.

  Fields:
    hdfsMetrics: The HDFS metrics.
    yarnMetrics: The YARN metrics.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class HdfsMetricsValue(_messages.Message):
    """The HDFS metrics.

    Messages:
      AdditionalProperty: An additional property for a HdfsMetricsValue
        object.

    Fields:
      additionalProperties: Additional properties of type HdfsMetricsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a HdfsMetricsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.IntegerField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class YarnMetricsValue(_messages.Message):
    """The YARN metrics.

    Messages:
      AdditionalProperty: An additional property for a YarnMetricsValue
        object.

    Fields:
      additionalProperties: Additional properties of type YarnMetricsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a YarnMetricsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.IntegerField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  hdfsMetrics = _messages.MessageField('HdfsMetricsValue', 1)
  yarnMetrics = _messages.MessageField('YarnMetricsValue', 2)


class ClusterOperationMetadata(_messages.Message):
  """Metadata describing the operation.

  Messages:
    LabelsValue: Output-only. Labels associated with the operation

  Fields:
    clusterName: Output-only. Name of the cluster for the operation.
    clusterUuid: Output-only. Cluster UUID for the operation.
    description: Output-only. Short description of operation.
    labels: Output-only. Labels associated with the operation
    operationType: Output-only. The operation type.
    status: Output-only. Current operation status.
    statusHistory: Output-only. The previous operation status.
    warnings: Output-only. Errors encountered during operation execution.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class LabelsValue(_messages.Message):
    """Output-only. Labels associated with the operation

    Messages:
      AdditionalProperty: An additional property for a LabelsValue object.

    Fields:
      additionalProperties: Additional properties of type LabelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a LabelsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)
  description = _messages.StringField(3)
  labels = _messages.MessageField('LabelsValue', 4)
  operationType = _messages.StringField(5)
  status = _messages.MessageField('ClusterOperationStatus', 6)
  statusHistory = _messages.MessageField('ClusterOperationStatus', 7, repeated=True)
  warnings = _messages.StringField(8, repeated=True)


class ClusterOperationStatus(_messages.Message):
  """The status of the operation.

  Enums:
    StateValueValuesEnum: Output-only. A message containing the operation
      state.

  Fields:
    details: Output-only.A message containing any operation metadata details.
    innerState: Output-only. A message containing the detailed operation
      state.
    state: Output-only. A message containing the operation state.
    stateStartTime: Output-only. The time this state was entered.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Output-only. A message containing the operation state.

    Values:
      UNKNOWN: Unused.
      PENDING: The operation has been created.
      RUNNING: The operation is running.
      DONE: The operation is done; either cancelled or completed.
    """
    UNKNOWN = 0
    PENDING = 1
    RUNNING = 2
    DONE = 3

  details = _messages.StringField(1)
  innerState = _messages.StringField(2)
  state = _messages.EnumField('StateValueValuesEnum', 3)
  stateStartTime = _messages.StringField(4)


class ClusterStatus(_messages.Message):
  """The status of a cluster and its instances.

  Enums:
    StateValueValuesEnum: Output-only. The cluster's state.
    SubstateValueValuesEnum: Output-only. Additional state information that
      includes status reported by the agent.

  Fields:
    detail: Output-only. Optional details of cluster's state.
    state: Output-only. The cluster's state.
    stateStartTime: Output-only. Time when this state was entered.
    substate: Output-only. Additional state information that includes status
      reported by the agent.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Output-only. The cluster's state.

    Values:
      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.
    """
    UNKNOWN = 0
    CREATING = 1
    RUNNING = 2
    ERROR = 3
    DELETING = 4
    UPDATING = 5

  class SubstateValueValuesEnum(_messages.Enum):
    """Output-only. Additional state information that includes status reported
    by the agent.

    Values:
      UNSPECIFIED: <no description>
      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.
    """
    UNSPECIFIED = 0
    UNHEALTHY = 1
    STALE_STATUS = 2

  detail = _messages.StringField(1)
  state = _messages.EnumField('StateValueValuesEnum', 2)
  stateStartTime = _messages.StringField(3)
  substate = _messages.EnumField('SubstateValueValuesEnum', 4)


class DataprocProjectsRegionsClustersCreateRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersCreateRequest object.

  Fields:
    cluster: A Cluster resource to be passed as the request body.
    projectId: Required. The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  cluster = _messages.MessageField('Cluster', 1)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)


class DataprocProjectsRegionsClustersDeleteRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersDeleteRequest object.

  Fields:
    clusterName: Required. The cluster name.
    projectId: Required. The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  clusterName = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)


class DataprocProjectsRegionsClustersDiagnoseRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersDiagnoseRequest object.

  Fields:
    clusterName: Required. The cluster name.
    diagnoseClusterRequest: A DiagnoseClusterRequest resource to be passed as
      the request body.
    projectId: Required. The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  clusterName = _messages.StringField(1, required=True)
  diagnoseClusterRequest = _messages.MessageField('DiagnoseClusterRequest', 2)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)


class DataprocProjectsRegionsClustersGetRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersGetRequest object.

  Fields:
    clusterName: Required. The cluster name.
    projectId: Required. The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  clusterName = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)


class DataprocProjectsRegionsClustersListRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersListRequest object.

  Fields:
    filter: 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: Optional. The standard List page size.
    pageToken: Optional. The standard List page token.
    projectId: Required. The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  filter = _messages.StringField(1)
  pageSize = _messages.IntegerField(2, variant=_messages.Variant.INT32)
  pageToken = _messages.StringField(3)
  projectId = _messages.StringField(4, required=True)
  region = _messages.StringField(5, required=True)


class DataprocProjectsRegionsClustersPatchRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersPatchRequest object.

  Fields:
    cluster: A Cluster resource to be passed as the request body.
    clusterName: Required. The cluster name.
    projectId: Required. The ID of the Google Cloud Platform project the
      cluster belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
    updateMask: 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"     }   } }
      <strong>Note:</strong> Currently, only the following fields can be
      updated:<table>  <tbody>  <tr>  <td><strong>Mask</strong></td>
      <td><strong>Purpose</strong></td>  </tr>  <tr>
      <td><strong><em>labels</em></strong></td>  <td>Update labels</td>  </tr>
      <tr>
      <td><strong><em>config.worker_config.num_instances</em></strong></td>
      <td>Resize primary worker group</td>  </tr>  <tr>  <td><strong><em>confi
      g.secondary_worker_config.num_instances</em></strong></td>  <td>Resize
      secondary worker group</td>  </tr>  </tbody>  </table>
  """

  cluster = _messages.MessageField('Cluster', 1)
  clusterName = _messages.StringField(2, required=True)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)
  updateMask = _messages.StringField(5)


class DataprocProjectsRegionsJobsCancelRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsCancelRequest object.

  Fields:
    cancelJobRequest: A CancelJobRequest resource to be passed as the request
      body.
    jobId: Required. The job ID.
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  cancelJobRequest = _messages.MessageField('CancelJobRequest', 1)
  jobId = _messages.StringField(2, required=True)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)


class DataprocProjectsRegionsJobsDeleteRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsDeleteRequest object.

  Fields:
    jobId: Required. The job ID.
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  jobId = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)


class DataprocProjectsRegionsJobsGetRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsGetRequest object.

  Fields:
    jobId: Required. The job ID.
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  jobId = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)


class DataprocProjectsRegionsJobsListRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsListRequest object.

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

  Fields:
    clusterName: Optional. If set, the returned jobs list includes only jobs
      that were submitted to the named cluster.
    filter: 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 INACTIVE. 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 = *
    jobStateMatcher: Optional. Specifies enumerated categories of jobs to list
      (default = match ALL jobs).
    pageSize: Optional. The number of results to return in each response.
    pageToken: Optional. The page token, returned by a previous call, to
      request the next page of results.
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
  """

  class JobStateMatcherValueValuesEnum(_messages.Enum):
    """Optional. Specifies enumerated categories of jobs to list (default =
    match ALL jobs).

    Values:
      ALL: <no description>
      ACTIVE: <no description>
      NON_ACTIVE: <no description>
    """
    ALL = 0
    ACTIVE = 1
    NON_ACTIVE = 2

  clusterName = _messages.StringField(1)
  filter = _messages.StringField(2)
  jobStateMatcher = _messages.EnumField('JobStateMatcherValueValuesEnum', 3)
  pageSize = _messages.IntegerField(4, variant=_messages.Variant.INT32)
  pageToken = _messages.StringField(5)
  projectId = _messages.StringField(6, required=True)
  region = _messages.StringField(7, required=True)


class DataprocProjectsRegionsJobsPatchRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsPatchRequest object.

  Fields:
    job: A Job resource to be passed as the request body.
    jobId: Required. The job ID.
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
    updateMask: Required. Specifies the path, relative to <code>Job</code>, of
      the field to update. For example, to update the labels of a Job the
      <code>update_mask</code> parameter would be specified as
      <code>labels</code>, and the PATCH request body would specify the new
      value. <strong>Note:</strong> Currently, <code>labels</code> is the only
      field that can be updated.
  """

  job = _messages.MessageField('Job', 1)
  jobId = _messages.StringField(2, required=True)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)
  updateMask = _messages.StringField(5)


class DataprocProjectsRegionsJobsSubmitRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsSubmitRequest object.

  Fields:
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required. The Cloud Dataproc region in which to handle the
      request.
    submitJobRequest: A SubmitJobRequest resource to be passed as the request
      body.
  """

  projectId = _messages.StringField(1, required=True)
  region = _messages.StringField(2, required=True)
  submitJobRequest = _messages.MessageField('SubmitJobRequest', 3)


class DataprocProjectsRegionsOperationsCancelRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsCancelRequest object.

  Fields:
    name: The name of the operation resource to be cancelled.
  """

  name = _messages.StringField(1, required=True)


class DataprocProjectsRegionsOperationsDeleteRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsDeleteRequest object.

  Fields:
    name: The name of the operation resource to be deleted.
  """

  name = _messages.StringField(1, required=True)


class DataprocProjectsRegionsOperationsGetRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsGetRequest object.

  Fields:
    name: The name of the operation resource.
  """

  name = _messages.StringField(1, required=True)


class DataprocProjectsRegionsOperationsListRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsListRequest object.

  Fields:
    filter: The standard list filter.
    name: The name of the operation's parent resource.
    pageSize: The standard list page size.
    pageToken: The standard list page token.
  """

  filter = _messages.StringField(1)
  name = _messages.StringField(2, required=True)
  pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
  pageToken = _messages.StringField(4)


class DiagnoseClusterRequest(_messages.Message):
  """A request to collect cluster diagnostic information."""


class DiagnoseClusterResults(_messages.Message):
  """The location of diagnostic output.

  Fields:
    outputUri: Output-only. The Google Cloud Storage URI of the diagnostic
      output. The output report is a plain text file with a summary of
      collected diagnostics.
  """

  outputUri = _messages.StringField(1)


class DiskConfig(_messages.Message):
  """Specifies the config of disk options for a group of VM instances.

  Fields:
    bootDiskSizeGb: Optional. Size in GB of the boot disk (default is 500GB).
    numLocalSsds: 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.
  """

  bootDiskSizeGb = _messages.IntegerField(1, variant=_messages.Variant.INT32)
  numLocalSsds = _messages.IntegerField(2, variant=_messages.Variant.INT32)


class Empty(_messages.Message):
  """A generic empty message that you can re-use to avoid defining duplicated
  empty messages in your APIs. A typical example is to use it as the request
  or the response type of an API method. For instance: service Foo {   rpc
  Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON
  representation for Empty is empty JSON object {}.
  """



class GceClusterConfig(_messages.Message):
  """Common config settings for resources of Google Compute Engine cluster
  instances, applicable to all instances in the cluster.

  Messages:
    MetadataValue: The Google 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)).

  Fields:
    internalIpOnly: 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.
    metadata: The Google 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)).
    networkUri: Optional. The Google 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.c
      om/compute/v1/projects/[project_id]/regions/global/default
      projects/[project_id]/regions/global/default default
    serviceAccount: Optional. The service account of the instances. Defaults
      to the default Google Compute Engine service account. Custom service
      accounts need permissions equivalent to the folloing 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: Optional. The URIs of service account scopes to be
      included in Google 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.writeIf 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
    subnetworkUri: Optional. The Google 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
    tags: The Google Compute Engine tags to add to all instances (see Tagging
      instances).
    zoneUri: Optional. The zone where the Google 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 GCE 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
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class MetadataValue(_messages.Message):
    """The Google 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)).

    Messages:
      AdditionalProperty: An additional property for a MetadataValue object.

    Fields:
      additionalProperties: Additional properties of type MetadataValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a MetadataValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  internalIpOnly = _messages.BooleanField(1)
  metadata = _messages.MessageField('MetadataValue', 2)
  networkUri = _messages.StringField(3)
  serviceAccount = _messages.StringField(4)
  serviceAccountScopes = _messages.StringField(5, repeated=True)
  subnetworkUri = _messages.StringField(6)
  tags = _messages.StringField(7, repeated=True)
  zoneUri = _messages.StringField(8)


class HadoopJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Hadoop MapReduce
  (https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-
  mapreduce-client-core/MapReduceTutorial.html) jobs on Apache Hadoop YARN
  (https://hadoop.apache.org/docs/r2.7.1/hadoop-yarn/hadoop-yarn-
  site/YARN.html).

  Messages:
    PropertiesValue: 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.

  Fields:
    archiveUris: 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.
    args: 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.
    fileUris: 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.
    jarFileUris: Optional. Jar file URIs to add to the CLASSPATHs of the
      Hadoop driver and tasks.
    loggingConfig: Optional. The runtime log config for job execution.
    mainClass: 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.
    mainJarFileUri: 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'
    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.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  archiveUris = _messages.StringField(1, repeated=True)
  args = _messages.StringField(2, repeated=True)
  fileUris = _messages.StringField(3, repeated=True)
  jarFileUris = _messages.StringField(4, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 5)
  mainClass = _messages.StringField(6)
  mainJarFileUri = _messages.StringField(7)
  properties = _messages.MessageField('PropertiesValue', 8)


class HiveJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/)
  queries on YARN.

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

  Fields:
    continueOnFailure: 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.
    jarFileUris: 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.
    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.
    queryFileUri: The HCFS URI of the script that contains Hive queries.
    queryList: A list of queries.
    scriptVariables: Optional. Mapping of query variable names to values
      (equivalent to the Hive command: SET name="value";).
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ScriptVariablesValue(_messages.Message):
    """Optional. Mapping of query variable names to values (equivalent to the
    Hive command: SET name="value";).

    Messages:
      AdditionalProperty: An additional property for a ScriptVariablesValue
        object.

    Fields:
      additionalProperties: Additional properties of type ScriptVariablesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ScriptVariablesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  continueOnFailure = _messages.BooleanField(1)
  jarFileUris = _messages.StringField(2, repeated=True)
  properties = _messages.MessageField('PropertiesValue', 3)
  queryFileUri = _messages.StringField(4)
  queryList = _messages.MessageField('QueryList', 5)
  scriptVariables = _messages.MessageField('ScriptVariablesValue', 6)


class InstanceGroupConfig(_messages.Message):
  """Optional. The config settings for Google Compute Engine resources in an
  instance group, such as a master or worker group.

  Fields:
    accelerators: Optional. The Google Compute Engine accelerator
      configuration for these instances.Beta Feature: This feature is still
      under development. It may be changed before final release.
    diskConfig: Optional. Disk option config settings.
    imageUri: Output-only. The Google Compute Engine image resource used for
      cluster instances. Inferred from SoftwareConfig.image_version.
    instanceNames: Optional. The list of instance names. Cloud Dataproc
      derives the names from cluster_name, num_instances, and the instance
      group if not set by user (recommended practice is to let Cloud Dataproc
      derive the name).
    isPreemptible: Optional. Specifies that this instance group contains
      preemptible instances.
    machineTypeUri: Optional. The Google 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
    managedGroupConfig: Output-only. The config for Google Compute Engine
      Instance Group Manager that manages this group. This is only used for
      preemptible instance groups.
    numInstances: Optional. The number of VM instances in the instance group.
      For master instance groups, must be set to 1.
  """

  accelerators = _messages.MessageField('AcceleratorConfig', 1, repeated=True)
  diskConfig = _messages.MessageField('DiskConfig', 2)
  imageUri = _messages.StringField(3)
  instanceNames = _messages.StringField(4, repeated=True)
  isPreemptible = _messages.BooleanField(5)
  machineTypeUri = _messages.StringField(6)
  managedGroupConfig = _messages.MessageField('ManagedGroupConfig', 7)
  numInstances = _messages.IntegerField(8, variant=_messages.Variant.INT32)


class Job(_messages.Message):
  """A Cloud Dataproc job resource.

  Messages:
    LabelsValue: Optional. The labels to associate with this job. Label keys
      must contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a job.

  Fields:
    driverControlFilesUri: 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.
    driverOutputResourceUri: Output-only. A URI pointing to the location of
      the stdout of the job's driver program.
    hadoopJob: Job is a Hadoop job.
    hiveJob: Job is a Hive job.
    labels: Optional. The labels to associate with this job. Label keys must
      contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a job.
    pigJob: Job is a Pig job.
    placement: Required. Job information, including how, when, and where to
      run the job.
    pysparkJob: Job is a Pyspark job.
    reference: 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
      <code>job_id</code>.
    scheduling: Optional. Job scheduling configuration.
    sparkJob: Job is a Spark job.
    sparkSqlJob: Job is a SparkSql job.
    status: Output-only. The job status. Additional application-specific
      status information may be contained in the <code>type_job</code> and
      <code>yarn_applications</code> fields.
    statusHistory: Output-only. The previous job status.
    yarnApplications: 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.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class LabelsValue(_messages.Message):
    """Optional. The labels to associate with this job. Label keys must
    contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if
    present, must contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be
    associated with a job.

    Messages:
      AdditionalProperty: An additional property for a LabelsValue object.

    Fields:
      additionalProperties: Additional properties of type LabelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a LabelsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  driverControlFilesUri = _messages.StringField(1)
  driverOutputResourceUri = _messages.StringField(2)
  hadoopJob = _messages.MessageField('HadoopJob', 3)
  hiveJob = _messages.MessageField('HiveJob', 4)
  labels = _messages.MessageField('LabelsValue', 5)
  pigJob = _messages.MessageField('PigJob', 6)
  placement = _messages.MessageField('JobPlacement', 7)
  pysparkJob = _messages.MessageField('PySparkJob', 8)
  reference = _messages.MessageField('JobReference', 9)
  scheduling = _messages.MessageField('JobScheduling', 10)
  sparkJob = _messages.MessageField('SparkJob', 11)
  sparkSqlJob = _messages.MessageField('SparkSqlJob', 12)
  status = _messages.MessageField('JobStatus', 13)
  statusHistory = _messages.MessageField('JobStatus', 14, repeated=True)
  yarnApplications = _messages.MessageField('YarnApplication', 15, repeated=True)


class JobPlacement(_messages.Message):
  """Cloud Dataproc job config.

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

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)


class JobReference(_messages.Message):
  """Encapsulates the full scoping used to reference a job.

  Fields:
    jobId: 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.
    projectId: Required. The ID of the Google Cloud Platform project that the
      job belongs to.
  """

  jobId = _messages.StringField(1)
  projectId = _messages.StringField(2)


class JobScheduling(_messages.Message):
  """Job scheduling options.Beta Feature: These options are available for
  testing purposes only. They may be changed before final release.

  Fields:
    maxFailuresPerHour: 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.
  """

  maxFailuresPerHour = _messages.IntegerField(1, variant=_messages.Variant.INT32)


class JobStatus(_messages.Message):
  """Cloud Dataproc job status.

  Enums:
    StateValueValuesEnum: Output-only. A state message specifying the overall
      job state.
    SubstateValueValuesEnum: Output-only. Additional state information, which
      includes status reported by the agent.

  Fields:
    details: Output-only. Optional job state details, such as an error
      description if the state is <code>ERROR</code>.
    state: Output-only. A state message specifying the overall job state.
    stateStartTime: Output-only. The time when this state was entered.
    substate: Output-only. Additional state information, which includes status
      reported by the agent.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Output-only. A state message specifying the overall job state.

    Values:
      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.
    """
    STATE_UNSPECIFIED = 0
    PENDING = 1
    SETUP_DONE = 2
    RUNNING = 3
    CANCEL_PENDING = 4
    CANCEL_STARTED = 5
    CANCELLED = 6
    DONE = 7
    ERROR = 8
    ATTEMPT_FAILURE = 9

  class SubstateValueValuesEnum(_messages.Enum):
    """Output-only. Additional state information, which includes status
    reported by the agent.

    Values:
      UNSPECIFIED: <no description>
      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.
    """
    UNSPECIFIED = 0
    SUBMITTED = 1
    QUEUED = 2
    STALE_STATUS = 3

  details = _messages.StringField(1)
  state = _messages.EnumField('StateValueValuesEnum', 2)
  stateStartTime = _messages.StringField(3)
  substate = _messages.EnumField('SubstateValueValuesEnum', 4)


class ListClustersResponse(_messages.Message):
  """The list of all clusters in a project.

  Fields:
    clusters: Output-only. The clusters in the project.
    nextPageToken: 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.
  """

  clusters = _messages.MessageField('Cluster', 1, repeated=True)
  nextPageToken = _messages.StringField(2)


class ListJobsResponse(_messages.Message):
  """A list of jobs in a project.

  Fields:
    jobs: Output-only. Jobs list.
    nextPageToken: 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 <code>ListJobsRequest</code>.
  """

  jobs = _messages.MessageField('Job', 1, repeated=True)
  nextPageToken = _messages.StringField(2)


class ListOperationsResponse(_messages.Message):
  """The response message for Operations.ListOperations.

  Fields:
    nextPageToken: The standard List next-page token.
    operations: A list of operations that matches the specified filter in the
      request.
  """

  nextPageToken = _messages.StringField(1)
  operations = _messages.MessageField('Operation', 2, repeated=True)


class LoggingConfig(_messages.Message):
  """The runtime logging config of the job.

  Messages:
    DriverLogLevelsValue: 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'

  Fields:
    driverLogLevels: 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'
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class DriverLogLevelsValue(_messages.Message):
    """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'

    Messages:
      AdditionalProperty: An additional property for a DriverLogLevelsValue
        object.

    Fields:
      additionalProperties: Additional properties of type DriverLogLevelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a DriverLogLevelsValue object.

      Enums:
        ValueValueValuesEnum:

      Fields:
        key: Name of the additional property.
        value: A ValueValueValuesEnum attribute.
      """

      class ValueValueValuesEnum(_messages.Enum):
        """ValueValueValuesEnum enum type.

        Values:
          LEVEL_UNSPECIFIED: <no description>
          ALL: <no description>
          TRACE: <no description>
          DEBUG: <no description>
          INFO: <no description>
          WARN: <no description>
          ERROR: <no description>
          FATAL: <no description>
          OFF: <no description>
        """
        LEVEL_UNSPECIFIED = 0
        ALL = 1
        TRACE = 2
        DEBUG = 3
        INFO = 4
        WARN = 5
        ERROR = 6
        FATAL = 7
        OFF = 8

      key = _messages.StringField(1)
      value = _messages.EnumField('ValueValueValuesEnum', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  driverLogLevels = _messages.MessageField('DriverLogLevelsValue', 1)


class ManagedGroupConfig(_messages.Message):
  """Specifies the resources used to actively manage an instance group.

  Fields:
    instanceGroupManagerName: Output-only. The name of the Instance Group
      Manager for this group.
    instanceTemplateName: Output-only. The name of the Instance Template used
      for the Managed Instance Group.
  """

  instanceGroupManagerName = _messages.StringField(1)
  instanceTemplateName = _messages.StringField(2)


class NodeInitializationAction(_messages.Message):
  """Specifies an executable to run on a fully configured node and a timeout
  period for executable completion.

  Fields:
    executableFile: Required. Google Cloud Storage URI of executable file.
    executionTimeout: 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.
  """

  executableFile = _messages.StringField(1)
  executionTimeout = _messages.StringField(2)


class Operation(_messages.Message):
  """This resource represents a long-running operation that is the result of a
  network API call.

  Messages:
    MetadataValue: Service-specific metadata associated with the operation. It
      typically contains progress information and common metadata such as
      create time. Some services might not provide such metadata. Any method
      that returns a long-running operation should document the metadata type,
      if any.
    ResponseValue: The normal response of the operation in case of success. If
      the original method returns no data on success, such as Delete, the
      response is google.protobuf.Empty. If the original method is standard
      Get/Create/Update, the response should be the resource. For other
      methods, the response should have the type XxxResponse, where Xxx is the
      original method name. For example, if the original method name is
      TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

  Fields:
    done: If the value is false, it means the operation is still in progress.
      If true, the operation is completed, and either error or response is
      available.
    error: The error result of the operation in case of failure or
      cancellation.
    metadata: Service-specific metadata associated with the operation. It
      typically contains progress information and common metadata such as
      create time. Some services might not provide such metadata. Any method
      that returns a long-running operation should document the metadata type,
      if any.
    name: The server-assigned name, which is only unique within the same
      service that originally returns it. If you use the default HTTP mapping,
      the name should have the format of operations/some/unique/name.
    response: The normal response of the operation in case of success. If the
      original method returns no data on success, such as Delete, the response
      is google.protobuf.Empty. If the original method is standard
      Get/Create/Update, the response should be the resource. For other
      methods, the response should have the type XxxResponse, where Xxx is the
      original method name. For example, if the original method name is
      TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class MetadataValue(_messages.Message):
    """Service-specific metadata associated with the operation. It typically
    contains progress information and common metadata such as create time.
    Some services might not provide such metadata. Any method that returns a
    long-running operation should document the metadata type, if any.

    Messages:
      AdditionalProperty: An additional property for a MetadataValue object.

    Fields:
      additionalProperties: Properties of the object. Contains field @type
        with type URL.
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a MetadataValue object.

      Fields:
        key: Name of the additional property.
        value: A extra_types.JsonValue attribute.
      """

      key = _messages.StringField(1)
      value = _messages.MessageField('extra_types.JsonValue', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ResponseValue(_messages.Message):
    """The normal response of the operation in case of success. If the
    original method returns no data on success, such as Delete, the response
    is google.protobuf.Empty. If the original method is standard
    Get/Create/Update, the response should be the resource. For other methods,
    the response should have the type XxxResponse, where Xxx is the original
    method name. For example, if the original method name is TakeSnapshot(),
    the inferred response type is TakeSnapshotResponse.

    Messages:
      AdditionalProperty: An additional property for a ResponseValue object.

    Fields:
      additionalProperties: Properties of the object. Contains field @type
        with type URL.
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ResponseValue object.

      Fields:
        key: Name of the additional property.
        value: A extra_types.JsonValue attribute.
      """

      key = _messages.StringField(1)
      value = _messages.MessageField('extra_types.JsonValue', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  done = _messages.BooleanField(1)
  error = _messages.MessageField('Status', 2)
  metadata = _messages.MessageField('MetadataValue', 3)
  name = _messages.StringField(4)
  response = _messages.MessageField('ResponseValue', 5)


class PigJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/)
  queries on YARN.

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

  Fields:
    continueOnFailure: 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.
    jarFileUris: 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: Optional. The runtime log config for job execution.
    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.
    queryFileUri: The HCFS URI of the script that contains the Pig queries.
    queryList: A list of queries.
    scriptVariables: Optional. Mapping of query variable names to values
      (equivalent to the Pig command: name=[value]).
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ScriptVariablesValue(_messages.Message):
    """Optional. Mapping of query variable names to values (equivalent to the
    Pig command: name=[value]).

    Messages:
      AdditionalProperty: An additional property for a ScriptVariablesValue
        object.

    Fields:
      additionalProperties: Additional properties of type ScriptVariablesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ScriptVariablesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  continueOnFailure = _messages.BooleanField(1)
  jarFileUris = _messages.StringField(2, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 3)
  properties = _messages.MessageField('PropertiesValue', 4)
  queryFileUri = _messages.StringField(5)
  queryList = _messages.MessageField('QueryList', 6)
  scriptVariables = _messages.MessageField('ScriptVariablesValue', 7)


class PySparkJob(_messages.Message):
  """A Cloud Dataproc job for running Apache PySpark
  (https://spark.apache.org/docs/0.9.0/python-programming-guide.html)
  applications on YARN.

  Messages:
    PropertiesValue: 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.

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

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  archiveUris = _messages.StringField(1, repeated=True)
  args = _messages.StringField(2, repeated=True)
  fileUris = _messages.StringField(3, repeated=True)
  jarFileUris = _messages.StringField(4, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 5)
  mainPythonFileUri = _messages.StringField(6)
  properties = _messages.MessageField('PropertiesValue', 7)
  pythonFileUris = _messages.StringField(8, repeated=True)


class QueryList(_messages.Message):
  """A list of queries to run on a cluster.

  Fields:
    queries: 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",     ]   } }
  """

  queries = _messages.StringField(1, repeated=True)


class SoftwareConfig(_messages.Message):
  """Specifies the selection and config of software inside the cluster.

  Messages:
    PropertiesValue: 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

  Fields:
    imageVersion: Optional. The version of software inside the cluster. It
      must match the regular expression [0-9]+\.[0-9]+. If unspecified, it
      defaults to the latest version (see Cloud Dataproc Versioning).
    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
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  imageVersion = _messages.StringField(1)
  properties = _messages.MessageField('PropertiesValue', 2)


class SparkJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/)
  applications on YARN.

  Messages:
    PropertiesValue: 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.

  Fields:
    archiveUris: 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.
    args: 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.
    fileUris: Optional. HCFS URIs of files to be copied to the working
      directory of Spark drivers and distributed tasks. Useful for naively
      parallel tasks.
    jarFileUris: Optional. HCFS URIs of jar files to add to the CLASSPATHs of
      the Spark driver and tasks.
    loggingConfig: Optional. The runtime log config for job execution.
    mainClass: 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.
    mainJarFileUri: The HCFS URI of the jar file that contains the main class.
    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.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  archiveUris = _messages.StringField(1, repeated=True)
  args = _messages.StringField(2, repeated=True)
  fileUris = _messages.StringField(3, repeated=True)
  jarFileUris = _messages.StringField(4, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 5)
  mainClass = _messages.StringField(6)
  mainJarFileUri = _messages.StringField(7)
  properties = _messages.MessageField('PropertiesValue', 8)


class SparkSqlJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Spark SQL
  (http://spark.apache.org/sql/) queries.

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

  Fields:
    jarFileUris: Optional. HCFS URIs of jar files to be added to the Spark
      CLASSPATH.
    loggingConfig: Optional. The runtime log config for job execution.
    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.
    queryFileUri: The HCFS URI of the script that contains SQL queries.
    queryList: A list of queries.
    scriptVariables: Optional. Mapping of query variable names to values
      (equivalent to the Spark SQL command: SET name="value";).
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """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.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ScriptVariablesValue(_messages.Message):
    """Optional. Mapping of query variable names to values (equivalent to the
    Spark SQL command: SET name="value";).

    Messages:
      AdditionalProperty: An additional property for a ScriptVariablesValue
        object.

    Fields:
      additionalProperties: Additional properties of type ScriptVariablesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ScriptVariablesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  jarFileUris = _messages.StringField(1, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 2)
  properties = _messages.MessageField('PropertiesValue', 3)
  queryFileUri = _messages.StringField(4)
  queryList = _messages.MessageField('QueryList', 5)
  scriptVariables = _messages.MessageField('ScriptVariablesValue', 6)


class StandardQueryParameters(_messages.Message):
  """Query parameters accepted by all methods.

  Enums:
    FXgafvValueValuesEnum: V1 error format.
    AltValueValuesEnum: Data format for response.

  Fields:
    f__xgafv: V1 error format.
    access_token: OAuth access token.
    alt: Data format for response.
    bearer_token: OAuth bearer token.
    callback: JSONP
    fields: Selector specifying which fields to include in a partial response.
    key: API key. Your API key identifies your project and provides you with
      API access, quota, and reports. Required unless you provide an OAuth 2.0
      token.
    oauth_token: OAuth 2.0 token for the current user.
    pp: Pretty-print response.
    prettyPrint: Returns response with indentations and line breaks.
    quotaUser: Available to use for quota purposes for server-side
      applications. Can be any arbitrary string assigned to a user, but should
      not exceed 40 characters.
    trace: A tracing token of the form "token:<tokenid>" to include in api
      requests.
    uploadType: Legacy upload protocol for media (e.g. "media", "multipart").
    upload_protocol: Upload protocol for media (e.g. "raw", "multipart").
  """

  class AltValueValuesEnum(_messages.Enum):
    """Data format for response.

    Values:
      json: Responses with Content-Type of application/json
      media: Media download with context-dependent Content-Type
      proto: Responses with Content-Type of application/x-protobuf
    """
    json = 0
    media = 1
    proto = 2

  class FXgafvValueValuesEnum(_messages.Enum):
    """V1 error format.

    Values:
      _1: v1 error format
      _2: v2 error format
    """
    _1 = 0
    _2 = 1

  f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1)
  access_token = _messages.StringField(2)
  alt = _messages.EnumField('AltValueValuesEnum', 3, default=u'json')
  bearer_token = _messages.StringField(4)
  callback = _messages.StringField(5)
  fields = _messages.StringField(6)
  key = _messages.StringField(7)
  oauth_token = _messages.StringField(8)
  pp = _messages.BooleanField(9, default=True)
  prettyPrint = _messages.BooleanField(10, default=True)
  quotaUser = _messages.StringField(11)
  trace = _messages.StringField(12)
  uploadType = _messages.StringField(13)
  upload_protocol = _messages.StringField(14)


class Status(_messages.Message):
  """The Status type defines a logical error model that is suitable for
  different programming environments, including REST APIs and RPC APIs. It is
  used by gRPC (https://github.com/grpc). The error model is designed to be:
  Simple to use and understand for most users Flexible enough to meet
  unexpected needsOverviewThe Status message contains three pieces of data:
  error code, error message, and error details. The error code should be an
  enum value of google.rpc.Code, but it may accept additional error codes if
  needed. The error message should be a developer-facing English message that
  helps developers understand and resolve the error. If a localized user-
  facing error message is needed, put the localized message in the error
  details or localize it in the client. The optional error details may contain
  arbitrary information about the error. There is a predefined set of error
  detail types in the package google.rpc that can be used for common error
  conditions.Language mappingThe Status message is the logical representation
  of the error model, but it is not necessarily the actual wire format. When
  the Status message is exposed in different client libraries and different
  wire protocols, it can be mapped differently. For example, it will likely be
  mapped to some exceptions in Java, but more likely mapped to some error
  codes in C.Other usesThe error model and the Status message can be used in a
  variety of environments, either with or without APIs, to provide a
  consistent developer experience across different environments.Example uses
  of this error model include: Partial errors. If a service needs to return
  partial errors to the client, it may embed the Status in the normal response
  to indicate the partial errors. Workflow errors. A typical workflow has
  multiple steps. Each step may have a Status message for error reporting.
  Batch operations. If a client uses batch request and batch response, the
  Status message should be used directly inside batch response, one for each
  error sub-response. Asynchronous operations. If an API call embeds
  asynchronous operation results in its response, the status of those
  operations should be represented directly using the Status message. Logging.
  If some API errors are stored in logs, the message Status could be used
  directly after any stripping needed for security/privacy reasons.

  Messages:
    DetailsValueListEntry: A DetailsValueListEntry object.

  Fields:
    code: The status code, which should be an enum value of google.rpc.Code.
    details: A list of messages that carry the error details. There will be a
      common set of message types for APIs to use.
    message: A developer-facing error message, which should be in English. Any
      user-facing error message should be localized and sent in the
      google.rpc.Status.details field, or localized by the client.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class DetailsValueListEntry(_messages.Message):
    """A DetailsValueListEntry object.

    Messages:
      AdditionalProperty: An additional property for a DetailsValueListEntry
        object.

    Fields:
      additionalProperties: Properties of the object. Contains field @type
        with type URL.
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a DetailsValueListEntry object.

      Fields:
        key: Name of the additional property.
        value: A extra_types.JsonValue attribute.
      """

      key = _messages.StringField(1)
      value = _messages.MessageField('extra_types.JsonValue', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  code = _messages.IntegerField(1, variant=_messages.Variant.INT32)
  details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True)
  message = _messages.StringField(3)


class SubmitJobRequest(_messages.Message):
  """A request to submit a job.

  Fields:
    job: Required. The job resource.
  """

  job = _messages.MessageField('Job', 1)


class YarnApplication(_messages.Message):
  """A YARN application created by a job. Application information is a subset
  of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</cod
  e>.Beta Feature: This report is available for testing purposes only. It may
  be changed before final release.

  Enums:
    StateValueValuesEnum: Required. The application state.

  Fields:
    name: Required. The application name.
    progress: Required. The numerical progress of the application, from 1 to
      100.
    state: Required. The application state.
    trackingUrl: 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.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Required. The application state.

    Values:
      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_UNSPECIFIED = 0
    NEW = 1
    NEW_SAVING = 2
    SUBMITTED = 3
    ACCEPTED = 4
    RUNNING = 5
    FINISHED = 6
    FAILED = 7
    KILLED = 8

  name = _messages.StringField(1)
  progress = _messages.FloatField(2, variant=_messages.Variant.FLOAT)
  state = _messages.EnumField('StateValueValuesEnum', 3)
  trackingUrl = _messages.StringField(4)


encoding.AddCustomJsonFieldMapping(
    StandardQueryParameters, 'f__xgafv', '$.xgafv',
    package=u'dataproc')
encoding.AddCustomJsonEnumMapping(
    StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1',
    package=u'dataproc')
encoding.AddCustomJsonEnumMapping(
    StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2',
    package=u'dataproc')
