# Dataflow API . projects . locations . flexTemplates

## Instance Methods

Launch a job with a FlexTemplate.

### Method Details

`launch(projectId, location, body=None, x__xgafv=None)`

    Launch a job with a FlexTemplate.

    Args:
      projectId: string, Required. The ID of the Cloud Platform project that the job belongs to. (required)
      location: string, Required. The [regional endpoint]
    (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to
    which to direct the request. E.g., us-central1, us-west1. (required)
      body: object, The request body.
        The object takes the form of:

    { # A request to launch a Cloud Dataflow job from a FlexTemplate.
        "validateOnly": True or False, # If true, the request is validated but not actually executed.
            # Defaults to false.
        "launchParameter": { # Launch FlexTemplate Parameter. # Required. Parameter to launch a job form Flex Template.
          "containerSpecGcsPath": "A String", # Gcs path to a file with json serialized ContainerSpec as content.
          "parameters": { # The parameters for FlexTemplate.
              # Ex. {"num_workers":"5"}
            "a_key": "A String",
          },
          "jobName": "A String", # Required. The job name to use for the created job.
          "containerSpec": { # Container Spec. # Spec about the container image to launch.
            "metadata": { # Metadata describing a template. # Metadata describing a template including description and validation rules.
              "parameters": [ # The parameters for the template.
                { # Metadata for a specific parameter.
                  "label": "A String", # Required. The label to display for the parameter.
                  "paramType": "A String", # Optional. The type of the parameter.
                      # Used for selecting input picker.
                  "helpText": "A String", # Required. The help text to display for the parameter.
                  "name": "A String", # Required. The name of the parameter.
                  "regexes": [ # Optional. Regexes that the parameter must match.
                    "A String",
                  ],
                  "isOptional": True or False, # Optional. Whether the parameter is optional. Defaults to false.
                },
              ],
              "name": "A String", # Required. The name of the template.
              "description": "A String", # Optional. A description of the template.
            },
            "sdkInfo": { # SDK Information. # Required. SDK info of the Flex Template.
              "language": "A String", # Required. The SDK Language.
              "version": "A String", # Optional. The SDK version.
            },
            "image": "A String", # Name of the docker container image. E.g., gcr.io/project/some-image
          },
        },
      }

      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Response to the request to launch a job from Flex Template.
        "job": { # Defines a job to be run by the Cloud Dataflow service. # The job that was launched, if the request was not a dry run and
            # the job was successfully launched.
          "clientRequestId": "A String", # 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.
          "id": "A String", # The unique ID of this job.
              #
              # This field is set by the Cloud Dataflow service when the Job is
              # created, and is immutable for the life of the job.
          "currentStateTime": "A String", # The timestamp associated with the current state.
          "transformNameMapping": { # The map of transform name prefixes of the job to be replaced to the
              # corresponding name prefixes of the new job.
            "a_key": "A String",
          },
          "environment": { # Describes the environment in which a Dataflow Job runs. # The environment for the job.
            "internalExperiments": { # Experimental settings.
              "a_key": "", # Properties of the object. Contains field @type with type URL.
            },
            "workerRegion": "A String", # 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.
            "serviceKmsKeyName": "A String", # 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
            "userAgent": { # A description of the process that generated the request.
              "a_key": "", # Properties of the object.
            },
            "workerZone": "A String", # 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.
            "clusterManagerApiService": "A String", # 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".
            "tempStoragePrefix": "A String", # 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}
            "experiments": [ # The list of experiments to enable.
              "A String",
            ],
            "version": { # A structure describing which components and their versions of the service
                # are required in order to run the job.
              "a_key": "", # Properties of the object.
            },
            "serviceAccountEmail": "A String", # Identity to run virtual machines as. Defaults to the default account.
            "sdkPipelineOptions": { # The Cloud Dataflow SDK pipeline options specified by the user. These
                # options are passed through the service and are used to recreate the
                # SDK pipeline options on the worker in a language agnostic and platform
                # independent way.
              "a_key": "", # Properties of the object.
            },
            "flexResourceSchedulingGoal": "A String", # Which Flexible Resource Scheduling mode to run in.
            "workerPools": [ # The worker pools. At least one "harness" worker pool must be
                # specified in order for the job to have workers.
              { # Describes one particular pool of Cloud Dataflow workers to be
                  # instantiated by the Cloud Dataflow service in order to perform the
                  # computations required by a job.  Note that a workflow job may use
                  # multiple pools, in order to match the various computational
                  # requirements of the various stages of the job.
                "numThreadsPerWorker": 42, # 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).
                "numWorkers": 42, # 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.
                "zone": "A String", # Zone to run the worker pools in.  If empty or unspecified, the service
                    # will attempt to choose a reasonable default.
                "diskSourceImage": "A String", # Fully qualified source image for disks.
                "packages": [ # Packages to be installed on workers.
                  { # The packages that must be installed in order for a worker to run the
                      # steps of the Cloud Dataflow job that will be assigned to its worker
                      # pool.
                      #
                      # This is the mechanism by which the Cloud Dataflow SDK causes code to
                      # be loaded onto the workers. For example, the Cloud Dataflow Java SDK
                      # might use this to install jars containing the user's code and all of the
                      # various dependencies (libraries, data files, etc.) required in order
                      # for that code to run.
                    "name": "A String", # The name of the package.
                    "location": "A String", # The resource to read the package from. The supported resource type is:
                        #
                        # Google Cloud Storage:
                        #
                        #   storage.googleapis.com/{bucket}
                        #   bucket.storage.googleapis.com/
                  },
                ],
                "teardownPolicy": "A String", # 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.
                "onHostMaintenance": "A String", # The action to take on host maintenance, as defined by the Google
                    # Compute Engine API.
                "poolArgs": { # Extra arguments for this worker pool.
                  "a_key": "", # Properties of the object. Contains field @type with type URL.
                },
                "diskSizeGb": 42, # Size of root disk for VMs, in GB.  If zero or unspecified, the service will
                    # attempt to choose a reasonable default.
                "workerHarnessContainerImage": "A String", # 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.
                "diskType": "A String", # Type of root disk for VMs.  If empty or unspecified, the service will
                    # attempt to choose a reasonable default.
                "machineType": "A String", # Machine type (e.g. "n1-standard-1").  If empty or unspecified, the
                    # service will attempt to choose a reasonable default.
                "kind": "A String", # The kind of the worker pool; currently only `harness` and `shuffle`
                    # are supported.
                "sdkHarnessContainerImages": [ # 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.
                  { # Defines a SDK harness container for executing Dataflow pipelines.
                    "containerImage": "A String", # A docker container image that resides in Google Container Registry.
                    "useSingleCorePerContainer": True or False, # 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.
                  },
                ],
                "dataDisks": [ # Data disks that are used by a VM in this workflow.
                  { # Describes the data disk used by a workflow job.
                    "diskType": "A String", # 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
                    "sizeGb": 42, # Size of disk in GB.  If zero or unspecified, the service will
                        # attempt to choose a reasonable default.
                    "mountPoint": "A String", # Directory in a VM where disk is mounted.
                  },
                ],
                "subnetwork": "A String", # Subnetwork to which VMs will be assigned, if desired.  Expected to be of
                    # the form "regions/REGION/subnetworks/SUBNETWORK".
                "ipConfiguration": "A String", # Configuration for VM IPs.
                "taskrunnerSettings": { # Taskrunner configuration settings. # Settings passed through to Google Compute Engine workers when
                    # using the standard Dataflow task runner.  Users should ignore
                    # this field.
                  "alsologtostderr": True or False, # Whether to also send taskrunner log info to stderr.
                  "taskGroup": "A String", # The UNIX group ID on the worker VM to use for tasks launched by
                      # taskrunner; e.g. "wheel".
                  "harnessCommand": "A String", # The command to launch the worker harness.
                  "logDir": "A String", # The directory on the VM to store logs.
                  "oauthScopes": [ # The OAuth2 scopes to be requested by the taskrunner in order to
                      # access the Cloud Dataflow API.
                    "A String",
                  ],
                  "dataflowApiVersion": "A String", # The API version of endpoint, e.g. "v1b3"
                  "logUploadLocation": "A String", # 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}
                  "streamingWorkerMainClass": "A String", # The streaming worker main class name.
                  "workflowFileName": "A String", # The file to store the workflow in.
                  "languageHint": "A String", # The suggested backend language.
                  "commandlinesFileName": "A String", # The file to store preprocessing commands in.
                  "baseTaskDir": "A String", # The location on the worker for task-specific subdirectories.
                  "tempStoragePrefix": "A String", # 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}
                  "baseUrl": "A String", # 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/"
                  "logToSerialconsole": True or False, # Whether to send taskrunner log info to Google Compute Engine VM serial
                      # console.
                  "continueOnException": True or False, # Whether to continue taskrunner if an exception is hit.
                  "parallelWorkerSettings": { # Provides data to pass through to the worker harness. # The settings to pass to the parallel worker harness.
                    "tempStoragePrefix": "A String", # 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}
                    "reportingEnabled": True or False, # Whether to send work progress updates to the service.
                    "baseUrl": "A String", # 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/"
                    "servicePath": "A String", # The Cloud Dataflow service path relative to the root URL, for example,
                        # "dataflow/v1b3/projects".
                    "shuffleServicePath": "A String", # The Shuffle service path relative to the root URL, for example,
                        # "shuffle/v1beta1".
                    "workerId": "A String", # The ID of the worker running this pipeline.
                  },
                  "taskUser": "A String", # The UNIX user ID on the worker VM to use for tasks launched by
                      # taskrunner; e.g. "root".
                  "vmId": "A String", # The ID string of the VM.
                },
                "autoscalingSettings": { # Settings for WorkerPool autoscaling. # Settings for autoscaling of this WorkerPool.
                  "algorithm": "A String", # The algorithm to use for autoscaling.
                  "maxNumWorkers": 42, # The maximum number of workers to cap scaling at.
                },
                "metadata": { # Metadata to set on the Google Compute Engine VMs.
                  "a_key": "A String",
                },
                "defaultPackageSet": "A String", # 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.
                "network": "A String", # Network to which VMs will be assigned.  If empty or unspecified,
                    # the service will use the network "default".
              },
            ],
            "dataset": "A String", # The dataset for the current project where various workflow
                # related tables are stored.
                #
                # The supported resource type is:
                #
                # Google BigQuery:
                #   bigquery.googleapis.com/{dataset}
          },
          "stageStates": [ # This field may be mutated by the Cloud Dataflow service;
              # callers cannot mutate it.
            { # A message describing the state of a particular execution stage.
              "currentStateTime": "A String", # The time at which the stage transitioned to this state.
              "executionStageState": "A String", # Executions stage states allow the same set of values as JobState.
              "executionStageName": "A String", # The name of the execution stage.
            },
          ],
          "jobMetadata": { # Metadata available primarily for filtering jobs. Will be included in the # 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.
              # ListJob response and Job SUMMARY view.
            "datastoreDetails": [ # Identification of a Datastore source used in the Dataflow job.
              { # Metadata for a Datastore connector used by the job.
                "namespace": "A String", # Namespace used in the connection.
                "projectId": "A String", # ProjectId accessed in the connection.
              },
            ],
            "sdkVersion": { # The version of the SDK used to run the job. # The SDK version used to run the job.
              "version": "A String", # The version of the SDK used to run the job.
              "sdkSupportStatus": "A String", # The support status for this SDK version.
              "versionDisplayName": "A String", # A readable string describing the version of the SDK.
            },
            "bigqueryDetails": [ # Identification of a BigQuery source used in the Dataflow job.
              { # Metadata for a BigQuery connector used by the job.
                "table": "A String", # Table accessed in the connection.
                "dataset": "A String", # Dataset accessed in the connection.
                "query": "A String", # Query used to access data in the connection.
                "projectId": "A String", # Project accessed in the connection.
              },
            ],
            "fileDetails": [ # Identification of a File source used in the Dataflow job.
              { # Metadata for a File connector used by the job.
                "filePattern": "A String", # File Pattern used to access files by the connector.
              },
            ],
            "pubsubDetails": [ # Identification of a PubSub source used in the Dataflow job.
              { # Metadata for a PubSub connector used by the job.
                "topic": "A String", # Topic accessed in the connection.
                "subscription": "A String", # Subscription used in the connection.
              },
            ],
            "bigTableDetails": [ # Identification of a BigTable source used in the Dataflow job.
              { # Metadata for a BigTable connector used by the job.
                "projectId": "A String", # ProjectId accessed in the connection.
                "instanceId": "A String", # InstanceId accessed in the connection.
                "tableId": "A String", # TableId accessed in the connection.
              },
            ],
            "spannerDetails": [ # Identification of a Spanner source used in the Dataflow job.
              { # Metadata for a Spanner connector used by the job.
                "instanceId": "A String", # InstanceId accessed in the connection.
                "projectId": "A String", # ProjectId accessed in the connection.
                "databaseId": "A String", # DatabaseId accessed in the connection.
              },
            ],
          },
          "type": "A String", # The type of Cloud Dataflow job.
          "projectId": "A String", # The ID of the Cloud Platform project that the job belongs to.
          "createdFromSnapshotId": "A String", # If this is specified, the job's initial state is populated from the given
              # snapshot.
          "pipelineDescription": { # A descriptive representation of submitted pipeline as well as the executed # 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.
              # form.  This data is provided by the Dataflow service for ease of visualizing
              # the pipeline and interpreting Dataflow provided metrics.
            "executionPipelineStage": [ # Description of each stage of execution of the pipeline.
              { # Description of the composing transforms, names/ids, and input/outputs of a
                  # stage of execution.  Some composing transforms and sources may have been
                  # generated by the Dataflow service during execution planning.
                "outputSource": [ # Output sources for this stage.
                  { # Description of an input or output of an execution stage.
                    "sizeBytes": "A String", # Size of the source, if measurable.
                    "name": "A String", # Dataflow service generated name for this source.
                    "userName": "A String", # Human-readable name for this source; may be user or system generated.
                    "originalTransformOrCollection": "A String", # User name for the original user transform or collection with which this
                        # source is most closely associated.
                  },
                ],
                "name": "A String", # Dataflow service generated name for this stage.
                "inputSource": [ # Input sources for this stage.
                  { # Description of an input or output of an execution stage.
                    "sizeBytes": "A String", # Size of the source, if measurable.
                    "name": "A String", # Dataflow service generated name for this source.
                    "userName": "A String", # Human-readable name for this source; may be user or system generated.
                    "originalTransformOrCollection": "A String", # User name for the original user transform or collection with which this
                        # source is most closely associated.
                  },
                ],
                "id": "A String", # Dataflow service generated id for this stage.
                "componentTransform": [ # Transforms that comprise this execution stage.
                  { # Description of a transform executed as part of an execution stage.
                    "originalTransform": "A String", # User name for the original user transform with which this transform is
                        # most closely associated.
                    "name": "A String", # Dataflow service generated name for this source.
                    "userName": "A String", # Human-readable name for this transform; may be user or system generated.
                  },
                ],
                "componentSource": [ # Collections produced and consumed by component transforms of this stage.
                  { # Description of an interstitial value between transforms in an execution
                      # stage.
                    "name": "A String", # Dataflow service generated name for this source.
                    "userName": "A String", # Human-readable name for this transform; may be user or system generated.
                    "originalTransformOrCollection": "A String", # User name for the original user transform or collection with which this
                        # source is most closely associated.
                  },
                ],
                "kind": "A String", # Type of tranform this stage is executing.
              },
            ],
            "originalPipelineTransform": [ # Description of each transform in the pipeline and collections between them.
              { # Description of the type, names/ids, and input/outputs for a transform.
                "kind": "A String", # Type of transform.
                "inputCollectionName": [ # User names for all collection inputs to this transform.
                  "A String",
                ],
                "name": "A String", # User provided name for this transform instance.
                "id": "A String", # SDK generated id of this transform instance.
                "displayData": [ # Transform-specific display data.
                  { # Data provided with a pipeline or transform to provide descriptive info.
                    "durationValue": "A String", # Contains value if the data is of duration type.
                    "int64Value": "A String", # Contains value if the data is of int64 type.
                    "namespace": "A String", # 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.
                    "floatValue": 3.14, # Contains value if the data is of float type.
                    "key": "A String", # 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.
                    "shortStrValue": "A String", # 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.
                    "url": "A String", # An optional full URL.
                    "label": "A String", # An optional label to display in a dax UI for the element.
                    "timestampValue": "A String", # Contains value if the data is of timestamp type.
                    "boolValue": True or False, # Contains value if the data is of a boolean type.
                    "javaClassValue": "A String", # Contains value if the data is of java class type.
                    "strValue": "A String", # Contains value if the data is of string type.
                  },
                ],
                "outputCollectionName": [ # User  names for all collection outputs to this transform.
                  "A String",
                ],
              },
            ],
            "displayData": [ # Pipeline level display data.
              { # Data provided with a pipeline or transform to provide descriptive info.
                "durationValue": "A String", # Contains value if the data is of duration type.
                "int64Value": "A String", # Contains value if the data is of int64 type.
                "namespace": "A String", # 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.
                "floatValue": 3.14, # Contains value if the data is of float type.
                "key": "A String", # 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.
                "shortStrValue": "A String", # 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.
                "url": "A String", # An optional full URL.
                "label": "A String", # An optional label to display in a dax UI for the element.
                "timestampValue": "A String", # Contains value if the data is of timestamp type.
                "boolValue": True or False, # Contains value if the data is of a boolean type.
                "javaClassValue": "A String", # Contains value if the data is of java class type.
                "strValue": "A String", # Contains value if the data is of string type.
              },
            ],
          },
          "replaceJobId": "A String", # 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.
          "tempFiles": [ # 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}
            "A String",
          ],
          "name": "A String", # The user-specified Cloud Dataflow job name.
              #
              # Only one Job with a given name may exist in a project at any
              # given time. If a caller attempts to create a Job with the same
              # name as an already-existing Job, the attempt returns the
              # existing Job.
              #
              # The name must match the regular expression
              # `[a-z]([-a-z0-9]{0,38}[a-z0-9])?`
          "steps": [ # Exactly one of step or steps_location should be specified.
              #
              # The top-level steps that constitute the entire job.
            { # Defines a particular step within a Cloud Dataflow job.
                #
                # A job consists of multiple steps, each of which performs some
                # specific operation as part of the overall job.  Data is typically
                # passed from one step to another as part of the job.
                #
                # Here's an example of a sequence of steps which together implement a
                # Map-Reduce job:
                #
                #   * Read a collection of data from some source, parsing the
                #     collection's elements.
                #
                #   * Validate the elements.
                #
                #   * Apply a user-defined function to map each element to some value
                #     and extract an element-specific key value.
                #
                #   * Group elements with the same key into a single element with
                #     that key, transforming a multiply-keyed collection into a
                #     uniquely-keyed collection.
                #
                #   * Write the elements out to some data sink.
                #
                # Note that the Cloud Dataflow service may be used to run many different
                # types of jobs, not just Map-Reduce.
              "name": "A String", # The name that identifies the step. This must be unique for each
                  # step with respect to all other steps in the Cloud Dataflow job.
              "kind": "A String", # The kind of step in the Cloud Dataflow job.
              "properties": { # Named properties associated with the step. Each kind of
                  # predefined step has its own required set of properties.
                  # Must be provided on Create.  Only retrieved with JOB_VIEW_ALL.
                "a_key": "", # Properties of the object.
              },
            },
          ],
          "replacedByJobId": "A String", # 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.
          "executionInfo": { # Additional information about how a Cloud Dataflow job will be executed that # Deprecated.
              # isn't contained in the submitted job.
            "stages": { # A mapping from each stage to the information about that stage.
              "a_key": { # Contains information about how a particular
                  # google.dataflow.v1beta3.Step will be executed.
                "stepName": [ # The steps associated with the execution stage.
                    # Note that stages may have several steps, and that a given step
                    # might be run by more than one stage.
                  "A String",
                ],
              },
            },
          },
          "currentState": "A String", # 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 may be mutated by the Cloud Dataflow service;
              # callers cannot mutate it.
          "location": "A String", # The [regional endpoint]
              # (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that
              # contains this job.
          "startTime": "A String", # 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.
          "stepsLocation": "A String", # The GCS location where the steps are stored.
          "labels": { # User-defined labels for this job.
              #
              # The labels map can contain no more than 64 entries.  Entries of the labels
              # map are UTF8 strings that comply with the following restrictions:
              #
              # * Keys must conform to regexp:  \p{Ll}\p{Lo}{0,62}
              # * Values must conform to regexp:  [\p{Ll}\p{Lo}\p{N}_-]{0,63}
              # * Both keys and values are additionally constrained to be <= 128 bytes in
              # size.
            "a_key": "A String",
          },
          "createTime": "A String", # The timestamp when the job was initially created. Immutable and set by the
              # Cloud Dataflow service.
          "requestedState": "A String", # The job's requested state.
              #
              # `UpdateJob` may be used to switch between the `JOB_STATE_STOPPED` and
              # `JOB_STATE_RUNNING` states, by setting requested_state.  `UpdateJob` may
              # also be used to directly set a job's requested state to
              # `JOB_STATE_CANCELLED` or `JOB_STATE_DONE`, irrevocably terminating the
              # job if it has not already reached a terminal state.
        },
      }