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gcp_dataflow_job

`ancestors`

Type: UNORDERED_LIST_STRING

`client_request_id`

Type: STRING
Provider name: clientRequestId
Description: The client’s unique identifier of the job, re-used across retried attempts. If this field is set, the service will ensure its uniqueness. The request to create a job will fail if the service has knowledge of a previously submitted job with the same client’s ID and job name. The caller may use this field to ensure idempotence of job creation across retried attempts to create a job. By default, the field is empty and, in that case, the service ignores it.

`create_time`

Type: TIMESTAMP
Provider name: createTime
Description: The timestamp when the job was initially created. Immutable and set by the Cloud Dataflow service.

`created_from_snapshot_id`

Type: STRING
Provider name: createdFromSnapshotId
Description: If this is specified, the job’s initial state is populated from the given snapshot.

`current_state`

Type: STRING
Provider name: currentState
Description: The current state of the job. Jobs are created in the JOB_STATE_STOPPED state unless otherwise specified. A job in the JOB_STATE_RUNNING state may asynchronously enter a terminal state. After a job has reached a terminal state, no further state updates may be made. This field might be mutated by the Dataflow service; callers cannot mutate it.
Possible values:

JOB_STATE_UNKNOWN - The job’s run state isn’t specified.
JOB_STATE_STOPPED - JOB_STATE_STOPPED indicates that the job has not yet started to run.
JOB_STATE_RUNNING - JOB_STATE_RUNNING indicates that the job is currently running.
JOB_STATE_DONE - JOB_STATE_DONE indicates that the job has successfully completed. This is a terminal job state. This state may be set by the Cloud Dataflow service, as a transition from JOB_STATE_RUNNING. It may also be set via a Cloud Dataflow UpdateJob call, if the job has not yet reached a terminal state.
JOB_STATE_FAILED - JOB_STATE_FAILED indicates that the job has failed. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_RUNNING.
JOB_STATE_CANCELLED - JOB_STATE_CANCELLED indicates that the job has been explicitly cancelled. This is a terminal job state. This state may only be set via a Cloud Dataflow UpdateJob call, and only if the job has not yet reached another terminal state.
JOB_STATE_UPDATED - JOB_STATE_UPDATED indicates that the job was successfully updated, meaning that this job was stopped and another job was started, inheriting state from this one. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_RUNNING.
JOB_STATE_DRAINING - JOB_STATE_DRAINING indicates that the job is in the process of draining. A draining job has stopped pulling from its input sources and is processing any data that remains in-flight. This state may be set via a Cloud Dataflow UpdateJob call, but only as a transition from JOB_STATE_RUNNING. Jobs that are draining may only transition to JOB_STATE_DRAINED, JOB_STATE_CANCELLED, or JOB_STATE_FAILED.
JOB_STATE_DRAINED - JOB_STATE_DRAINED indicates that the job has been drained. A drained job terminated by stopping pulling from its input sources and processing any data that remained in-flight when draining was requested. This state is a terminal state, may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_DRAINING.
JOB_STATE_PENDING - JOB_STATE_PENDING indicates that the job has been created but is not yet running. Jobs that are pending may only transition to JOB_STATE_RUNNING, or JOB_STATE_FAILED.
JOB_STATE_CANCELLING - JOB_STATE_CANCELLING indicates that the job has been explicitly cancelled and is in the process of stopping. Jobs that are cancelling may only transition to JOB_STATE_CANCELLED or JOB_STATE_FAILED.
JOB_STATE_QUEUED - JOB_STATE_QUEUED indicates that the job has been created but is being delayed until launch. Jobs that are queued may only transition to JOB_STATE_PENDING or JOB_STATE_CANCELLED.
JOB_STATE_RESOURCE_CLEANING_UP - JOB_STATE_RESOURCE_CLEANING_UP indicates that the batch job’s associated resources are currently being cleaned up after a successful run. Currently, this is an opt-in feature, please reach out to Cloud support team if you are interested.

`current_state_time`

Type: TIMESTAMP
Provider name: currentStateTime
Description: The timestamp associated with the current state.

`environment`

Type: STRUCT
Provider name: environment
Description: Optional. The environment for the job.

cluster_manager_api_service
Type: STRING
Provider name: clusterManagerApiService
Description: The type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. “compute.googleapis.com”.
dataset
Type: STRING
Provider name: dataset
Description: Optional. The dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset}
debug_options
Type: STRUCT
Provider name: debugOptions
Description: Optional. Any debugging options to be supplied to the job.
- data_sampling
  Type: STRUCT
  Provider name: dataSampling
  Description: Configuration options for sampling elements from a running pipeline.
  - behaviors
    Type: UNORDERED_LIST_STRING
    Provider name: behaviors
    Description: List of given sampling behaviors to enable. For example, specifying behaviors = [ALWAYS_ON] samples in-flight elements but does not sample exceptions. Can be used to specify multiple behaviors like, behaviors = [ALWAYS_ON, EXCEPTIONS] for specifying periodic sampling and exception sampling. If DISABLED is in the list, then sampling will be disabled and ignore the other given behaviors. Ordering does not matter.
- enable_hot_key_logging
  Type: BOOLEAN
  Provider name: enableHotKeyLogging
  Description: Optional. When true, enables the logging of the literal hot key to the user’s Cloud Logging.
experiments
Type: UNORDERED_LIST_STRING
Provider name: experiments
Description: The list of experiments to enable. This field should be used for SDK related experiments and not for service related experiments. The proper field for service related experiments is service_options.
flex_resource_scheduling_goal
Type: STRING
Provider name: flexResourceSchedulingGoal
Description: Optional. Which Flexible Resource Scheduling mode to run in.
Possible values:
- FLEXRS_UNSPECIFIED - Run in the default mode.
- FLEXRS_SPEED_OPTIMIZED - Optimize for lower execution time.
- FLEXRS_COST_OPTIMIZED - Optimize for lower cost.
service_account_email
Type: STRING
Provider name: serviceAccountEmail
Description: Optional. Identity to run virtual machines as. Defaults to the default account.
service_kms_key_name
Type: STRING
Provider name: serviceKmsKeyName
Description: Optional. If set, contains the Cloud KMS key identifier used to encrypt data at rest, AKA a Customer Managed Encryption Key (CMEK). Format: projects/PROJECT_ID/locations/LOCATION/keyRings/KEY_RING/cryptoKeys/KEY
service_options
Type: UNORDERED_LIST_STRING
Provider name: serviceOptions
Description: Optional. The list of service options to enable. This field should be used for service related experiments only. These experiments, when graduating to GA, should be replaced by dedicated fields or become default (i.e. always on).
shuffle_mode
Type: STRING
Provider name: shuffleMode
Description: Output only. The shuffle mode used for the job.
Possible values:
- SHUFFLE_MODE_UNSPECIFIED - Shuffle mode information is not available.
- VM_BASED - Shuffle is done on the worker VMs.
- SERVICE_BASED - Shuffle is done on the service side.
streaming_mode
Type: STRING
Provider name: streamingMode
Description: Optional. Specifies the Streaming Engine message processing guarantees. Reduces cost and latency but might result in duplicate messages committed to storage. Designed to run simple mapping streaming ETL jobs at the lowest cost. For example, Change Data Capture (CDC) to BigQuery is a canonical use case. For more information, see Set the pipeline streaming mode.
Possible values:
- STREAMING_MODE_UNSPECIFIED - Run in the default mode.
- STREAMING_MODE_EXACTLY_ONCE - In this mode, message deduplication is performed against persistent state to make sure each message is processed and committed to storage exactly once.
- STREAMING_MODE_AT_LEAST_ONCE - Message deduplication is not performed. Messages might be processed multiple times, and the results are applied multiple times. Note: Setting this value also enables Streaming Engine and Streaming Engine resource-based billing.
temp_storage_prefix
Type: STRING
Provider name: tempStoragePrefix
Description: The prefix of the resources the system should use for temporary storage. The system will append the suffix “/temp-{JOBNAME} to this resource prefix, where {JOBNAME} is the value of the job_name field. The resulting bucket and object prefix is used as the prefix of the resources used to store temporary data needed during the job execution. NOTE: This will override the value in taskrunner_settings. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}
use_streaming_engine_resource_based_billing
Type: BOOLEAN
Provider name: useStreamingEngineResourceBasedBilling
Description: Output only. Whether the job uses the Streaming Engine resource-based billing model.
worker_pools
Type: UNORDERED_LIST_STRUCT
Provider name: workerPools
Description: The worker pools. At least one “harness” worker pool must be specified in order for the job to have workers.
- autoscaling_settings
  Type: STRUCT
  Provider name: autoscalingSettings
  Description: Settings for autoscaling of this WorkerPool.
  - algorithm
    Type: STRING
    Provider name: algorithm
    Description: The algorithm to use for autoscaling.
    Possible values:
    - AUTOSCALING_ALGORITHM_UNKNOWN - The algorithm is unknown, or unspecified.
    - AUTOSCALING_ALGORITHM_NONE - Disable autoscaling.
    - AUTOSCALING_ALGORITHM_BASIC - Increase worker count over time to reduce job execution time.
  - max_num_workers
    Type: INT32
    Provider name: maxNumWorkers
    Description: The maximum number of workers to cap scaling at.
- data_disks
  Type: UNORDERED_LIST_STRUCT
  Provider name: dataDisks
  Description: Data disks that are used by a VM in this workflow.
  - disk_type
    Type: STRING
    Provider name: diskType
    Description: Disk storage type, as defined by Google Compute Engine. This must be a disk type appropriate to the project and zone in which the workers will run. If unknown or unspecified, the service will attempt to choose a reasonable default. For example, the standard persistent disk type is a resource name typically ending in “pd-standard”. If SSD persistent disks are available, the resource name typically ends with “pd-ssd”. The actual valid values are defined the Google Compute Engine API, not by the Cloud Dataflow API; consult the Google Compute Engine documentation for more information about determining the set of available disk types for a particular project and zone. Google Compute Engine Disk types are local to a particular project in a particular zone, and so the resource name will typically look something like this: compute.googleapis.com/projects/project-id/zones/zone/diskTypes/pd-standard
  - mount_point
    Type: STRING
    Provider name: mountPoint
    Description: Directory in a VM where disk is mounted.
  - size_gb
    Type: INT32
    Provider name: sizeGb
    Description: Size of disk in GB. If zero or unspecified, the service will attempt to choose a reasonable default.
- default_package_set
  Type: STRING
  Provider name: defaultPackageSet
  Description: The default package set to install. This allows the service to select a default set of packages which are useful to worker harnesses written in a particular language.
  Possible values:
  - DEFAULT_PACKAGE_SET_UNKNOWN - The default set of packages to stage is unknown, or unspecified.
  - DEFAULT_PACKAGE_SET_NONE - Indicates that no packages should be staged at the worker unless explicitly specified by the job.
  - DEFAULT_PACKAGE_SET_JAVA - Stage packages typically useful to workers written in Java.
  - DEFAULT_PACKAGE_SET_PYTHON - Stage packages typically useful to workers written in Python.
- disk_size_gb
  Type: INT32
  Provider name: diskSizeGb
  Description: Size of root disk for VMs, in GB. If zero or unspecified, the service will attempt to choose a reasonable default.
- disk_source_image
  Type: STRING
  Provider name: diskSourceImage
  Description: Fully qualified source image for disks.
- disk_type
  Type: STRING
  Provider name: diskType
  Description: Type of root disk for VMs. If empty or unspecified, the service will attempt to choose a reasonable default.
- ip_configuration
  Type: STRING
  Provider name: ipConfiguration
  Description: Configuration for VM IPs.
  Possible values:
  - WORKER_IP_UNSPECIFIED - The configuration is unknown, or unspecified.
  - WORKER_IP_PUBLIC - Workers should have public IP addresses.
  - WORKER_IP_PRIVATE - Workers should have private IP addresses.
- kind
  Type: STRING
  Provider name: kind
  Description: The kind of the worker pool; currently only harness and shuffle are supported.
- machine_type
  Type: STRING
  Provider name: machineType
  Description: Machine type (e.g. “n1-standard-1”). If empty or unspecified, the service will attempt to choose a reasonable default.
- network
  Type: STRING
  Provider name: network
  Description: Network to which VMs will be assigned. If empty or unspecified, the service will use the network “default”.
- num_threads_per_worker
  Type: INT32
  Provider name: numThreadsPerWorker
  Description: The number of threads per worker harness. If empty or unspecified, the service will choose a number of threads (according to the number of cores on the selected machine type for batch, or 1 by convention for streaming).
- num_workers
  Type: INT32
  Provider name: numWorkers
  Description: Number of Google Compute Engine workers in this pool needed to execute the job. If zero or unspecified, the service will attempt to choose a reasonable default.
- on_host_maintenance
  Type: STRING
  Provider name: onHostMaintenance
  Description: The action to take on host maintenance, as defined by the Google Compute Engine API.
- packages
  Type: UNORDERED_LIST_STRUCT
  Provider name: packages
  Description: Packages to be installed on workers.
  - location
    Type: STRING
    Provider name: location
    Description: The resource to read the package from. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket} bucket.storage.googleapis.com/
  - name
    Type: STRING
    Provider name: name
    Description: The name of the package.
- sdk_harness_container_images
  Type: UNORDERED_LIST_STRUCT
  Provider name: sdkHarnessContainerImages
  Description: Set of SDK harness containers needed to execute this pipeline. This will only be set in the Fn API path. For non-cross-language pipelines this should have only one entry. Cross-language pipelines will have two or more entries.
  - capabilities
    Type: UNORDERED_LIST_STRING
    Provider name: capabilities
    Description: The set of capabilities enumerated in the above Environment proto. See also beam_runner_api.proto
  - container_image
    Type: STRING
    Provider name: containerImage
    Description: A docker container image that resides in Google Container Registry.
  - environment_id
    Type: STRING
    Provider name: environmentId
    Description: Environment ID for the Beam runner API proto Environment that corresponds to the current SDK Harness.
  - use_single_core_per_container
    Type: BOOLEAN
    Provider name: useSingleCorePerContainer
    Description: If true, recommends the Dataflow service to use only one core per SDK container instance with this image. If false (or unset) recommends using more than one core per SDK container instance with this image for efficiency. Note that Dataflow service may choose to override this property if needed.
- subnetwork
  Type: STRING
  Provider name: subnetwork
  Description: Subnetwork to which VMs will be assigned, if desired. Expected to be of the form “regions/REGION/subnetworks/SUBNETWORK”.
- taskrunner_settings
  Type: STRUCT
  Provider name: taskrunnerSettings
  Description: Settings passed through to Google Compute Engine workers when using the standard Dataflow task runner. Users should ignore this field.
  - alsologtostderr
    Type: BOOLEAN
    Provider name: alsologtostderr
    Description: Whether to also send taskrunner log info to stderr.
  - base_task_dir
    Type: STRING
    Provider name: baseTaskDir
    Description: The location on the worker for task-specific subdirectories.
  - base_url
    Type: STRING
    Provider name: baseUrl
    Description: The base URL for the taskrunner to use when accessing Google Cloud APIs. When workers access Google Cloud APIs, they logically do so via relative URLs. If this field is specified, it supplies the base URL to use for resolving these relative URLs. The normative algorithm used is defined by RFC 1808, “Relative Uniform Resource Locators”. If not specified, the default value is “http://www.googleapis.com/"
  - commandlines_file_name
    Type: STRING
    Provider name: commandlinesFileName
    Description: The file to store preprocessing commands in.
  - continue_on_exception
    Type: BOOLEAN
    Provider name: continueOnException
    Description: Whether to continue taskrunner if an exception is hit.
  - dataflow_api_version
    Type: STRING
    Provider name: dataflowApiVersion
    Description: The API version of endpoint, e.g. “v1b3”
  - harness_command
    Type: STRING
    Provider name: harnessCommand
    Description: The command to launch the worker harness.
  - language_hint
    Type: STRING
    Provider name: languageHint
    Description: The suggested backend language.
  - log_dir
    Type: STRING
    Provider name: logDir
    Description: The directory on the VM to store logs.
  - log_to_serialconsole
    Type: BOOLEAN
    Provider name: logToSerialconsole
    Description: Whether to send taskrunner log info to Google Compute Engine VM serial console.
  - log_upload_location
    Type: STRING
    Provider name: logUploadLocation
    Description: Indicates where to put logs. If this is not specified, the logs will not be uploaded. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}
  - oauth_scopes
    Type: UNORDERED_LIST_STRING
    Provider name: oauthScopes
    Description: The OAuth2 scopes to be requested by the taskrunner in order to access the Cloud Dataflow API.
  - parallel_worker_settings
    Type: STRUCT
    Provider name: parallelWorkerSettings
    Description: The settings to pass to the parallel worker harness.
    - base_url
      Type: STRING
      Provider name: baseUrl
      Description: The base URL for accessing Google Cloud APIs. When workers access Google Cloud APIs, they logically do so via relative URLs. If this field is specified, it supplies the base URL to use for resolving these relative URLs. The normative algorithm used is defined by RFC 1808, “Relative Uniform Resource Locators”. If not specified, the default value is “http://www.googleapis.com/"
    - reporting_enabled
      Type: BOOLEAN
      Provider name: reportingEnabled
      Description: Whether to send work progress updates to the service.
    - service_path
      Type: STRING
      Provider name: servicePath
      Description: The Cloud Dataflow service path relative to the root URL, for example, “dataflow/v1b3/projects”.
    - shuffle_service_path
      Type: STRING
      Provider name: shuffleServicePath
      Description: The Shuffle service path relative to the root URL, for example, “shuffle/v1beta1”.
    - temp_storage_prefix
      Type: STRING
      Provider name: tempStoragePrefix
      Description: The prefix of the resources the system should use for temporary storage. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}
    - worker_id
      Type: STRING
      Provider name: workerId
      Description: The ID of the worker running this pipeline.
  - streaming_worker_main_class
    Type: STRING
    Provider name: streamingWorkerMainClass
    Description: The streaming worker main class name.
  - task_group
    Type: STRING
    Provider name: taskGroup
    Description: The UNIX group ID on the worker VM to use for tasks launched by taskrunner; e.g. “wheel”.
  - task_user
    Type: STRING
    Provider name: taskUser
    Description: The UNIX user ID on the worker VM to use for tasks launched by taskrunner; e.g. “root”.
  - temp_storage_prefix
    Type: STRING
    Provider name: tempStoragePrefix
    Description: The prefix of the resources the taskrunner should use for temporary storage. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}
  - vm_id
    Type: STRING
    Provider name: vmId
    Description: The ID string of the VM.
  - workflow_file_name
    Type: STRING
    Provider name: workflowFileName
    Description: The file to store the workflow in.
- teardown_policy
  Type: STRING
  Provider name: teardownPolicy
  Description: Sets the policy for determining when to turndown worker pool. Allowed values are: TEARDOWN_ALWAYS, TEARDOWN_ON_SUCCESS, and TEARDOWN_NEVER. TEARDOWN_ALWAYS means workers are always torn down regardless of whether the job succeeds. TEARDOWN_ON_SUCCESS means workers are torn down if the job succeeds. TEARDOWN_NEVER means the workers are never torn down. If the workers are not torn down by the service, they will continue to run and use Google Compute Engine VM resources in the user’s project until they are explicitly terminated by the user. Because of this, Google recommends using the TEARDOWN_ALWAYS policy except for small, manually supervised test jobs. If unknown or unspecified, the service will attempt to choose a reasonable default.
  Possible values:
  - TEARDOWN_POLICY_UNKNOWN - The teardown policy isn’t specified, or is unknown.
  - TEARDOWN_ALWAYS - Always teardown the resource.
  - TEARDOWN_ON_SUCCESS - Teardown the resource on success. This is useful for debugging failures.
  - TEARDOWN_NEVER - Never teardown the resource. This is useful for debugging and development.
- worker_harness_container_image
  Type: STRING
  Provider name: workerHarnessContainerImage
  Description: Required. Docker container image that executes the Cloud Dataflow worker harness, residing in Google Container Registry. Deprecated for the Fn API path. Use sdk_harness_container_images instead.
- zone
  Type: STRING
  Provider name: zone
  Description: Zone to run the worker pools in. If empty or unspecified, the service will attempt to choose a reasonable default.
worker_region
Type: STRING
Provider name: workerRegion
Description: Optional. The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. “us-west1”. Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane’s region.
worker_zone
Type: STRING
Provider name: workerZone
Description: Optional. The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. “us-west1-a”. Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane’s region is chosen based on available capacity.

`execution_info`

Type: STRUCT
Provider name: executionInfo
Description: Deprecated.

`id`

Type: STRING
Provider name: id
Description: The unique ID of this job. This field is set by the Dataflow service when the job is created, and is immutable for the life of the job.

`job_metadata`

Type: STRUCT
Provider name: jobMetadata
Description: This field is populated by the Dataflow service to support filtering jobs by the metadata values provided here. Populated for ListJobs and all GetJob views SUMMARY and higher.

big_table_details
Type: UNORDERED_LIST_STRUCT
Provider name: bigTableDetails
Description: Identification of a Cloud Bigtable source used in the Dataflow job.
- instance_id
  Type: STRING
  Provider name: instanceId
  Description: InstanceId accessed in the connection.
- project_id
  Type: STRING
  Provider name: projectId
  Description: ProjectId accessed in the connection.
- table_id
  Type: STRING
  Provider name: tableId
  Description: TableId accessed in the connection.
bigquery_details
Type: UNORDERED_LIST_STRUCT
Provider name: bigqueryDetails
Description: Identification of a BigQuery source used in the Dataflow job.
- dataset
  Type: STRING
  Provider name: dataset
  Description: Dataset accessed in the connection.
- project_id
  Type: STRING
  Provider name: projectId
  Description: Project accessed in the connection.
- query
  Type: STRING
  Provider name: query
  Description: Query used to access data in the connection.
- table
  Type: STRING
  Provider name: table
  Description: Table accessed in the connection.
datastore_details
Type: UNORDERED_LIST_STRUCT
Provider name: datastoreDetails
Description: Identification of a Datastore source used in the Dataflow job.
- namespace
  Type: STRING
  Provider name: namespace
  Description: Namespace used in the connection.
- project_id
  Type: STRING
  Provider name: projectId
  Description: ProjectId accessed in the connection.
file_details
Type: UNORDERED_LIST_STRUCT
Provider name: fileDetails
Description: Identification of a File source used in the Dataflow job.
- file_pattern
  Type: STRING
  Provider name: filePattern
  Description: File Pattern used to access files by the connector.
pubsub_details
Type: UNORDERED_LIST_STRUCT
Provider name: pubsubDetails
Description: Identification of a Pub/Sub source used in the Dataflow job.
- subscription
  Type: STRING
  Provider name: subscription
  Description: Subscription used in the connection.
- topic
  Type: STRING
  Provider name: topic
  Description: Topic accessed in the connection.
sdk_version
Type: STRUCT
Provider name: sdkVersion
Description: The SDK version used to run the job.
- bugs
  Type: UNORDERED_LIST_STRUCT
  Provider name: bugs
  Description: Output only. Known bugs found in this SDK version.
  - severity
    Type: STRING
    Provider name: severity
    Description: Output only. How severe the SDK bug is.
    Possible values:
    - SEVERITY_UNSPECIFIED - A bug of unknown severity.
    - NOTICE - A minor bug that that may reduce reliability or performance for some jobs. Impact will be minimal or non-existent for most jobs.
    - WARNING - A bug that has some likelihood of causing performance degradation, data loss, or job failures.
    - SEVERE - A bug with extremely significant impact. Jobs may fail erroneously, performance may be severely degraded, and data loss may be very likely.
  - type
    Type: STRING
    Provider name: type
    Description: Output only. Describes the impact of this SDK bug.
    Possible values:
    - TYPE_UNSPECIFIED - Unknown issue with this SDK.
    - GENERAL - Catch-all for SDK bugs that don’t fit in the below categories.
    - PERFORMANCE - Using this version of the SDK may result in degraded performance.
    - DATALOSS - Using this version of the SDK may cause data loss.
  - uri
    Type: STRING
    Provider name: uri
    Description: Output only. Link to more information on the bug.
- sdk_support_status
  Type: STRING
  Provider name: sdkSupportStatus
  Description: The support status for this SDK version.
  Possible values:
  - UNKNOWN - Cloud Dataflow is unaware of this version.
  - SUPPORTED - This is a known version of an SDK, and is supported.
  - STALE - A newer version of the SDK family exists, and an update is recommended.
  - DEPRECATED - This version of the SDK is deprecated and will eventually be unsupported.
  - UNSUPPORTED - Support for this SDK version has ended and it should no longer be used.
- version
  Type: STRING
  Provider name: version
  Description: The version of the SDK used to run the job.
- version_display_name
  Type: STRING
  Provider name: versionDisplayName
  Description: A readable string describing the version of the SDK.
spanner_details
Type: UNORDERED_LIST_STRUCT
Provider name: spannerDetails
Description: Identification of a Spanner source used in the Dataflow job.
- database_id
  Type: STRING
  Provider name: databaseId
  Description: DatabaseId accessed in the connection.
- instance_id
  Type: STRING
  Provider name: instanceId
  Description: InstanceId accessed in the connection.
- project_id
  Type: STRING
  Provider name: projectId
  Description: ProjectId accessed in the connection.

`labels`

Type: UNORDERED_LIST_STRING

`location`

Type: STRING
Provider name: location
Description: Optional. The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that contains this job.

`name`

Type: STRING
Provider name: name
Description: Optional. The user-specified Dataflow job name. Only one active job with a given name can exist in a project within one region at any given time. Jobs in different regions can have the same name. If a caller attempts to create a job with the same name as an active job that already exists, the attempt returns the existing job. The name must match the regular expression [a-z]([-a-z0-9]{0,1022}[a-z0-9])?

`organization_id`

Type: STRING

`parent`

Type: STRING

`pipeline_description`

Type: STRUCT
Provider name: pipelineDescription
Description: Preliminary field: The format of this data may change at any time. A description of the user pipeline and stages through which it is executed. Created by Cloud Dataflow service. Only retrieved with JOB_VIEW_DESCRIPTION or JOB_VIEW_ALL.

display_data
Type: UNORDERED_LIST_STRUCT
Provider name: displayData
Description: Pipeline level display data.
- bool_value
  Type: BOOLEAN
  Provider name: boolValue
  Description: Contains value if the data is of a boolean type.
- duration_value
  Type: STRING
  Provider name: durationValue
  Description: Contains value if the data is of duration type.
- float_value
  Type: FLOAT
  Provider name: floatValue
  Description: Contains value if the data is of float type.
- int64_value
  Type: INT64
  Provider name: int64Value
  Description: Contains value if the data is of int64 type.
- java_class_value
  Type: STRING
  Provider name: javaClassValue
  Description: Contains value if the data is of java class type.
- key
  Type: STRING
  Provider name: key
  Description: The key identifying the display data. This is intended to be used as a label for the display data when viewed in a dax monitoring system.
- label
  Type: STRING
  Provider name: label
  Description: An optional label to display in a dax UI for the element.
- namespace
  Type: STRING
  Provider name: namespace
  Description: The namespace for the key. This is usually a class name or programming language namespace (i.e. python module) which defines the display data. This allows a dax monitoring system to specially handle the data and perform custom rendering.
- short_str_value
  Type: STRING
  Provider name: shortStrValue
  Description: A possible additional shorter value to display. For example a java_class_name_value of com.mypackage.MyDoFn will be stored with MyDoFn as the short_str_value and com.mypackage.MyDoFn as the java_class_name value. short_str_value can be displayed and java_class_name_value will be displayed as a tooltip.
- str_value
  Type: STRING
  Provider name: strValue
  Description: Contains value if the data is of string type.
- timestamp_value
  Type: TIMESTAMP
  Provider name: timestampValue
  Description: Contains value if the data is of timestamp type.
- url
  Type: STRING
  Provider name: url
  Description: An optional full URL.
execution_pipeline_stage
Type: UNORDERED_LIST_STRUCT
Provider name: executionPipelineStage
Description: Description of each stage of execution of the pipeline.
- component_source
  Type: UNORDERED_LIST_STRUCT
  Provider name: componentSource
  Description: Collections produced and consumed by component transforms of this stage.
  - name
    Type: STRING
    Provider name: name
    Description: Dataflow service generated name for this source.
  - original_transform_or_collection
    Type: STRING
    Provider name: originalTransformOrCollection
    Description: User name for the original user transform or collection with which this source is most closely associated.
  - user_name
    Type: STRING
    Provider name: userName
    Description: Human-readable name for this transform; may be user or system generated.
- component_transform
  Type: UNORDERED_LIST_STRUCT
  Provider name: componentTransform
  Description: Transforms that comprise this execution stage.
  - name
    Type: STRING
    Provider name: name
    Description: Dataflow service generated name for this source.
  - original_transform
    Type: STRING
    Provider name: originalTransform
    Description: User name for the original user transform with which this transform is most closely associated.
  - user_name
    Type: STRING
    Provider name: userName
    Description: Human-readable name for this transform; may be user or system generated.
- id
  Type: STRING
  Provider name: id
  Description: Dataflow service generated id for this stage.
- input_source
  Type: UNORDERED_LIST_STRUCT
  Provider name: inputSource
  Description: Input sources for this stage.
  - name
    Type: STRING
    Provider name: name
    Description: Dataflow service generated name for this source.
  - original_transform_or_collection
    Type: STRING
    Provider name: originalTransformOrCollection
    Description: User name for the original user transform or collection with which this source is most closely associated.
  - size_bytes
    Type: INT64
    Provider name: sizeBytes
    Description: Size of the source, if measurable.
  - user_name
    Type: STRING
    Provider name: userName
    Description: Human-readable name for this source; may be user or system generated.
- kind
  Type: STRING
  Provider name: kind
  Description: Type of transform this stage is executing.
  Possible values:
  - UNKNOWN_KIND - Unrecognized transform type.
  - PAR_DO_KIND - ParDo transform.
  - GROUP_BY_KEY_KIND - Group By Key transform.
  - FLATTEN_KIND - Flatten transform.
  - READ_KIND - Read transform.
  - WRITE_KIND - Write transform.
  - CONSTANT_KIND - Constructs from a constant value, such as with Create.of.
  - SINGLETON_KIND - Creates a Singleton view of a collection.
  - SHUFFLE_KIND - Opening or closing a shuffle session, often as part of a GroupByKey.
- name
  Type: STRING
  Provider name: name
  Description: Dataflow service generated name for this stage.
- output_source
  Type: UNORDERED_LIST_STRUCT
  Provider name: outputSource
  Description: Output sources for this stage.
  - name
    Type: STRING
    Provider name: name
    Description: Dataflow service generated name for this source.
  - original_transform_or_collection
    Type: STRING
    Provider name: originalTransformOrCollection
    Description: User name for the original user transform or collection with which this source is most closely associated.
  - size_bytes
    Type: INT64
    Provider name: sizeBytes
    Description: Size of the source, if measurable.
  - user_name
    Type: STRING
    Provider name: userName
    Description: Human-readable name for this source; may be user or system generated.
- prerequisite_stage
  Type: UNORDERED_LIST_STRING
  Provider name: prerequisiteStage
  Description: Other stages that must complete before this stage can run.
original_pipeline_transform
Type: UNORDERED_LIST_STRUCT
Provider name: originalPipelineTransform
Description: Description of each transform in the pipeline and collections between them.
- display_data
  Type: UNORDERED_LIST_STRUCT
  Provider name: displayData
  Description: Transform-specific display data.
  - bool_value
    Type: BOOLEAN
    Provider name: boolValue
    Description: Contains value if the data is of a boolean type.
  - duration_value
    Type: STRING
    Provider name: durationValue
    Description: Contains value if the data is of duration type.
  - float_value
    Type: FLOAT
    Provider name: floatValue
    Description: Contains value if the data is of float type.
  - int64_value
    Type: INT64
    Provider name: int64Value
    Description: Contains value if the data is of int64 type.
  - java_class_value
    Type: STRING
    Provider name: javaClassValue
    Description: Contains value if the data is of java class type.
  - key
    Type: STRING
    Provider name: key
    Description: The key identifying the display data. This is intended to be used as a label for the display data when viewed in a dax monitoring system.
  - label
    Type: STRING
    Provider name: label
    Description: An optional label to display in a dax UI for the element.
  - namespace
    Type: STRING
    Provider name: namespace
    Description: The namespace for the key. This is usually a class name or programming language namespace (i.e. python module) which defines the display data. This allows a dax monitoring system to specially handle the data and perform custom rendering.
  - short_str_value
    Type: STRING
    Provider name: shortStrValue
    Description: A possible additional shorter value to display. For example a java_class_name_value of com.mypackage.MyDoFn will be stored with MyDoFn as the short_str_value and com.mypackage.MyDoFn as the java_class_name value. short_str_value can be displayed and java_class_name_value will be displayed as a tooltip.
  - str_value
    Type: STRING
    Provider name: strValue
    Description: Contains value if the data is of string type.
  - timestamp_value
    Type: TIMESTAMP
    Provider name: timestampValue
    Description: Contains value if the data is of timestamp type.
  - url
    Type: STRING
    Provider name: url
    Description: An optional full URL.
- id
  Type: STRING
  Provider name: id
  Description: SDK generated id of this transform instance.
- input_collection_name
  Type: UNORDERED_LIST_STRING
  Provider name: inputCollectionName
  Description: User names for all collection inputs to this transform.
- kind
  Type: STRING
  Provider name: kind
  Description: Type of transform.
  Possible values:
  - UNKNOWN_KIND - Unrecognized transform type.
  - PAR_DO_KIND - ParDo transform.
  - GROUP_BY_KEY_KIND - Group By Key transform.
  - FLATTEN_KIND - Flatten transform.
  - READ_KIND - Read transform.
  - WRITE_KIND - Write transform.
  - CONSTANT_KIND - Constructs from a constant value, such as with Create.of.
  - SINGLETON_KIND - Creates a Singleton view of a collection.
  - SHUFFLE_KIND - Opening or closing a shuffle session, often as part of a GroupByKey.
- name
  Type: STRING
  Provider name: name
  Description: User provided name for this transform instance.
- output_collection_name
  Type: UNORDERED_LIST_STRING
  Provider name: outputCollectionName
  Description: User names for all collection outputs to this transform.
step_names_hash
Type: STRING
Provider name: stepNamesHash
Description: A hash value of the submitted pipeline portable graph step names if exists.

`project_id`

Type: STRING

`project_number`

Type: STRING

`replace_job_id`

Type: STRING
Provider name: replaceJobId
Description: If this job is an update of an existing job, this field is the job ID of the job it replaced. When sending a CreateJobRequest, you can update a job by specifying it here. The job named here is stopped, and its intermediate state is transferred to this job.

`replaced_by_job_id`

Type: STRING
Provider name: replacedByJobId
Description: If another job is an update of this job (and thus, this job is in JOB_STATE_UPDATED), this field contains the ID of that job.

`requested_state`

Type: STRING
Provider name: requestedState
Description: The job’s requested state. Applies to UpdateJob requests. Set requested_state with UpdateJob requests to switch between the states JOB_STATE_STOPPED and JOB_STATE_RUNNING. You can also use UpdateJob requests to change a job’s state from JOB_STATE_RUNNING to JOB_STATE_CANCELLED, JOB_STATE_DONE, or JOB_STATE_DRAINED. These states irrevocably terminate the job if it hasn’t already reached a terminal state. This field has no effect on CreateJob requests.
Possible values:

JOB_STATE_UNKNOWN - The job’s run state isn’t specified.
JOB_STATE_STOPPED - JOB_STATE_STOPPED indicates that the job has not yet started to run.
JOB_STATE_RUNNING - JOB_STATE_RUNNING indicates that the job is currently running.
JOB_STATE_DONE - JOB_STATE_DONE indicates that the job has successfully completed. This is a terminal job state. This state may be set by the Cloud Dataflow service, as a transition from JOB_STATE_RUNNING. It may also be set via a Cloud Dataflow UpdateJob call, if the job has not yet reached a terminal state.
JOB_STATE_FAILED - JOB_STATE_FAILED indicates that the job has failed. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_RUNNING.
JOB_STATE_CANCELLED - JOB_STATE_CANCELLED indicates that the job has been explicitly cancelled. This is a terminal job state. This state may only be set via a Cloud Dataflow UpdateJob call, and only if the job has not yet reached another terminal state.
JOB_STATE_UPDATED - JOB_STATE_UPDATED indicates that the job was successfully updated, meaning that this job was stopped and another job was started, inheriting state from this one. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_RUNNING.
JOB_STATE_DRAINING - JOB_STATE_DRAINING indicates that the job is in the process of draining. A draining job has stopped pulling from its input sources and is processing any data that remains in-flight. This state may be set via a Cloud Dataflow UpdateJob call, but only as a transition from JOB_STATE_RUNNING. Jobs that are draining may only transition to JOB_STATE_DRAINED, JOB_STATE_CANCELLED, or JOB_STATE_FAILED.
JOB_STATE_DRAINED - JOB_STATE_DRAINED indicates that the job has been drained. A drained job terminated by stopping pulling from its input sources and processing any data that remained in-flight when draining was requested. This state is a terminal state, may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_DRAINING.
JOB_STATE_PENDING - JOB_STATE_PENDING indicates that the job has been created but is not yet running. Jobs that are pending may only transition to JOB_STATE_RUNNING, or JOB_STATE_FAILED.
JOB_STATE_CANCELLING - JOB_STATE_CANCELLING indicates that the job has been explicitly cancelled and is in the process of stopping. Jobs that are cancelling may only transition to JOB_STATE_CANCELLED or JOB_STATE_FAILED.
JOB_STATE_QUEUED - JOB_STATE_QUEUED indicates that the job has been created but is being delayed until launch. Jobs that are queued may only transition to JOB_STATE_PENDING or JOB_STATE_CANCELLED.
JOB_STATE_RESOURCE_CLEANING_UP - JOB_STATE_RESOURCE_CLEANING_UP indicates that the batch job’s associated resources are currently being cleaned up after a successful run. Currently, this is an opt-in feature, please reach out to Cloud support team if you are interested.

`resource_name`

Type: STRING

`runtime_updatable_params`

Type: STRUCT
Provider name: runtimeUpdatableParams
Description: This field may ONLY be modified at runtime using the projects.jobs.update method to adjust job behavior. This field has no effect when specified at job creation.

max_num_workers
Type: INT32
Provider name: maxNumWorkers
Description: The maximum number of workers to cap autoscaling at. This field is currently only supported for Streaming Engine jobs.
min_num_workers
Type: INT32
Provider name: minNumWorkers
Description: The minimum number of workers to scale down to. This field is currently only supported for Streaming Engine jobs.
worker_utilization_hint
Type: DOUBLE
Provider name: workerUtilizationHint
Description: Target worker utilization, compared against the aggregate utilization of the worker pool by autoscaler, to determine upscaling and downscaling when absent other constraints such as backlog. For more information, see Update an existing pipeline.

`satisfies_pzi`

Type: BOOLEAN
Provider name: satisfiesPzi
Description: Output only. Reserved for future use. This field is set only in responses from the server; it is ignored if it is set in any requests.

`satisfies_pzs`

Type: BOOLEAN
Provider name: satisfiesPzs
Description: Reserved for future use. This field is set only in responses from the server; it is ignored if it is set in any requests.

`service_resources`

Type: STRUCT
Provider name: serviceResources
Description: Output only. Resources used by the Dataflow Service to run the job.

zones
Type: UNORDERED_LIST_STRING
Provider name: zones
Description: Output only. List of Cloud Zones being used by the Dataflow Service for this job. Example: us-central1-c

`stage_states`

Type: UNORDERED_LIST_STRUCT
Provider name: stageStates
Description: This field may be mutated by the Cloud Dataflow service; callers cannot mutate it.

current_state_time
Type: TIMESTAMP
Provider name: currentStateTime
Description: The time at which the stage transitioned to this state.
execution_stage_name
Type: STRING
Provider name: executionStageName
Description: The name of the execution stage.
execution_stage_state
Type: STRING
Provider name: executionStageState
Description: Executions stage states allow the same set of values as JobState.
Possible values:
- JOB_STATE_UNKNOWN - The job’s run state isn’t specified.
- JOB_STATE_STOPPED - JOB_STATE_STOPPED indicates that the job has not yet started to run.
- JOB_STATE_RUNNING - JOB_STATE_RUNNING indicates that the job is currently running.
- JOB_STATE_DONE - JOB_STATE_DONE indicates that the job has successfully completed. This is a terminal job state. This state may be set by the Cloud Dataflow service, as a transition from JOB_STATE_RUNNING. It may also be set via a Cloud Dataflow UpdateJob call, if the job has not yet reached a terminal state.
- JOB_STATE_FAILED - JOB_STATE_FAILED indicates that the job has failed. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_RUNNING.
- JOB_STATE_CANCELLED - JOB_STATE_CANCELLED indicates that the job has been explicitly cancelled. This is a terminal job state. This state may only be set via a Cloud Dataflow UpdateJob call, and only if the job has not yet reached another terminal state.
- JOB_STATE_UPDATED - JOB_STATE_UPDATED indicates that the job was successfully updated, meaning that this job was stopped and another job was started, inheriting state from this one. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_RUNNING.
- JOB_STATE_DRAINING - JOB_STATE_DRAINING indicates that the job is in the process of draining. A draining job has stopped pulling from its input sources and is processing any data that remains in-flight. This state may be set via a Cloud Dataflow UpdateJob call, but only as a transition from JOB_STATE_RUNNING. Jobs that are draining may only transition to JOB_STATE_DRAINED, JOB_STATE_CANCELLED, or JOB_STATE_FAILED.
- JOB_STATE_DRAINED - JOB_STATE_DRAINED indicates that the job has been drained. A drained job terminated by stopping pulling from its input sources and processing any data that remained in-flight when draining was requested. This state is a terminal state, may only be set by the Cloud Dataflow service, and only as a transition from JOB_STATE_DRAINING.
- JOB_STATE_PENDING - JOB_STATE_PENDING indicates that the job has been created but is not yet running. Jobs that are pending may only transition to JOB_STATE_RUNNING, or JOB_STATE_FAILED.
- JOB_STATE_CANCELLING - JOB_STATE_CANCELLING indicates that the job has been explicitly cancelled and is in the process of stopping. Jobs that are cancelling may only transition to JOB_STATE_CANCELLED or JOB_STATE_FAILED.
- JOB_STATE_QUEUED - JOB_STATE_QUEUED indicates that the job has been created but is being delayed until launch. Jobs that are queued may only transition to JOB_STATE_PENDING or JOB_STATE_CANCELLED.
- JOB_STATE_RESOURCE_CLEANING_UP - JOB_STATE_RESOURCE_CLEANING_UP indicates that the batch job’s associated resources are currently being cleaned up after a successful run. Currently, this is an opt-in feature, please reach out to Cloud support team if you are interested.

`start_time`

Type: TIMESTAMP
Provider name: startTime
Description: The timestamp when the job was started (transitioned to JOB_STATE_PENDING). Flexible resource scheduling jobs are started with some delay after job creation, so start_time is unset before start and is updated when the job is started by the Cloud Dataflow service. For other jobs, start_time always equals to create_time and is immutable and set by the Cloud Dataflow service.

`steps`

Type: UNORDERED_LIST_STRUCT
Provider name: steps
Description: Exactly one of step or steps_location should be specified. The top-level steps that constitute the entire job. Only retrieved with JOB_VIEW_ALL.

kind
Type: STRING
Provider name: kind
Description: The kind of step in the Cloud Dataflow job.
name
Type: STRING
Provider name: name
Description: The name that identifies the step. This must be unique for each step with respect to all other steps in the Cloud Dataflow job.

`steps_location`

Type: STRING
Provider name: stepsLocation
Description: The Cloud Storage location where the steps are stored.

`tags`

Type: UNORDERED_LIST_STRING

`temp_files`

Type: UNORDERED_LIST_STRING
Provider name: tempFiles
Description: A set of files the system should be aware of that are used for temporary storage. These temporary files will be removed on job completion. No duplicates are allowed. No file patterns are supported. The supported files are: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}

`type`

Type: STRING
Provider name: type
Description: Optional. The type of Dataflow job.
Possible values:

JOB_TYPE_UNKNOWN - The type of the job is unspecified, or unknown.
JOB_TYPE_BATCH - A batch job with a well-defined end point: data is read, data is processed, data is written, and the job is done.
JOB_TYPE_STREAMING - A continuously streaming job with no end: data is read, processed, and written continuously.