Namespace Google.Cloud.Dataflow.V1Beta3 (1.0.0-beta03)

A structured message reporting an autoscaling decision made by the Dataflow service.

Container for nested types declared in the AutoscalingEvent message type.

Settings for WorkerPool autoscaling.

Metadata for a BigQuery connector used by the job.

Metadata for a Cloud Bigtable connector used by the job.

Request to check is active jobs exists for a project

Response for CheckActiveJobsRequest.

All configuration data for a particular Computation.

Container Spec.

A request to create a Cloud Dataflow job from a template.

Request to create a Cloud Dataflow job.

Identifies the location of a custom souce.

Data disk assignment for a given VM instance.

Metadata for a Datastore connector used by the job.

Describes any options that have an effect on the debugging of pipelines.

Request to delete a snapshot.

Response from deleting a snapshot.

Describes the data disk used by a workflow job.

Data provided with a pipeline or transform to provide descriptive info.

Params which should be passed when launching a dynamic template.

Describes the environment in which a Dataflow Job runs.

A message describing the state of a particular execution stage.

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.

Container for nested types declared in the ExecutionStageSummary message type.

Description of an interstitial value between transforms in an execution stage.

Description of a transform executed as part of an execution stage.

Description of an input or output of an execution stage.

Indicates which regional endpoint failed to respond to a request for data.

Metadata for a File connector used by the job.

The environment values to be set at runtime for flex template.

Provides a service for Flex templates. This feature is not ready yet.

Base class for server-side implementations of FlexTemplatesService

Client for FlexTemplatesService

FlexTemplatesService client wrapper, for convenient use.

Builder class for FlexTemplatesServiceClient to provide simple configuration of credentials, endpoint etc.

FlexTemplatesService client wrapper implementation, for convenient use.

Settings for FlexTemplatesServiceClient instances.

Request to get job execution details.

Request to get job metrics.

Request to get the state of a Cloud Dataflow job.

Request to get information about a snapshot

Request to get information about a particular execution stage of a job. Currently only tracked for Batch jobs.

A request to retrieve a Cloud Dataflow job template.

Container for nested types declared in the GetTemplateRequest message type.

The response to a GetTemplate request.

Container for nested types declared in the GetTemplateResponse message type.

Used in the error_details field of a google.rpc.Status message, this indicates problems with the template parameter.

Container for nested types declared in the InvalidTemplateParameters message type.

A specific template-parameter violation.

Defines a job to be run by the Cloud Dataflow service.

Information about the execution of a job.

Additional information about how a Cloud Dataflow job will be executed that isn't contained in the submitted job.

Contains information about how a particular [google.dataflow.v1beta3.Step][google.dataflow.v1beta3.Step] will be executed.

A particular message pertaining to a Dataflow job.

Metadata available primarily for filtering jobs. Will be included in the ListJob response and Job SUMMARY view.

JobMetrics contains a collection of metrics describing the detailed progress of a Dataflow job. Metrics correspond to user-defined and system-defined metrics in the job.

This resource captures only the most recent values of each metric; time-series data can be queried for them (under the same metric names) from Cloud Monitoring.

Provides a method to create and modify Google Cloud Dataflow jobs. A Job is a multi-stage computation graph run by the Cloud Dataflow service.

Base class for server-side implementations of JobsV1Beta3

Client for JobsV1Beta3

JobsV1Beta3 client wrapper, for convenient use.

Builder class for JobsV1Beta3Client to provide simple configuration of credentials, endpoint etc.

JobsV1Beta3 client wrapper implementation, for convenient use.

Settings for JobsV1Beta3Client instances.

Data disk assignment information for a specific key-range of a sharded computation. Currently we only support UTF-8 character splits to simplify encoding into JSON.

Location information for a specific key-range of a sharded computation. Currently we only support UTF-8 character splits to simplify encoding into JSON.

Launch FlexTemplate Parameter.

A request to launch a Cloud Dataflow job from a FlexTemplate.

Response to the request to launch a job from Flex Template.

Parameters to provide to the template being launched.

A request to launch a template.

Response to the request to launch a template.

Request to list job messages. Up to max_results messages will be returned in the time range specified starting with the oldest messages first. If no time range is specified the results with start with the oldest message.

Response to a request to list job messages.

Request to list Cloud Dataflow jobs.

Container for nested types declared in the ListJobsRequest message type.

Response to a request to list Cloud Dataflow jobs in a project. This might be a partial response, depending on the page size in the ListJobsRequest. However, if the project does not have any jobs, an instance of ListJobsResponse is not returned and the requests's response body is empty {}.

Request to list snapshots.

List of snapshots.

The Dataflow Messages API is used for monitoring the progress of Dataflow jobs.

Base class for server-side implementations of MessagesV1Beta3

Client for MessagesV1Beta3

MessagesV1Beta3 client wrapper, for convenient use.

Builder class for MessagesV1Beta3Client to provide simple configuration of credentials, endpoint etc.

MessagesV1Beta3 client wrapper implementation, for convenient use.

Settings for MessagesV1Beta3Client instances.

Identifies a metric, by describing the source which generated the metric.

The Dataflow Metrics API lets you monitor the progress of Dataflow jobs.

Base class for server-side implementations of MetricsV1Beta3

Client for MetricsV1Beta3

MetricsV1Beta3 client wrapper, for convenient use.

Builder class for MetricsV1Beta3Client to provide simple configuration of credentials, endpoint etc.

MetricsV1Beta3 client wrapper implementation, for convenient use.

Settings for MetricsV1Beta3Client instances.

Describes the state of a metric.

Describes mounted data disk.

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.

Metadata for a specific parameter.

A descriptive representation of submitted pipeline as well as the executed form. This data is provided by the Dataflow service for ease of visualizing the pipeline and interpreting Dataflow provided metrics.

Information about the progress of some component of job execution.

Container for nested types declared in the ProgressTimeseries message type.

A point in the timeseries.

Metadata for a Pub/Sub connector used by the job.

Identifies a pubsub location to use for transferring data into or out of a streaming Dataflow job.

Represents a Pubsub snapshot.

The environment values to set at runtime.

RuntimeMetadata describing a runtime environment.

Defines a SDK harness container for executing Dataflow pipelines.

SDK Information.

Container for nested types declared in the SDKInfo message type.

The version of the SDK used to run the job.

Container for nested types declared in the SdkVersion message type.

Represents a snapshot of a job.

Request to create a snapshot of a job.

Provides methods to manage snapshots of Google Cloud Dataflow jobs.

Base class for server-side implementations of SnapshotsV1Beta3

Client for SnapshotsV1Beta3

SnapshotsV1Beta3 client wrapper, for convenient use.

Builder class for SnapshotsV1Beta3Client to provide simple configuration of credentials, endpoint etc.

SnapshotsV1Beta3 client wrapper implementation, for convenient use.

Settings for SnapshotsV1Beta3Client instances.

Metadata for a Spanner connector used by the job.

Information about the workers and work items within a stage.

Information about a particular execution stage of a job.

State family configuration.

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.

Streaming appliance snapshot configuration.

Describes full or partial data disk assignment information of the computation ranges.

Identifies the location of a streaming side input.

Identifies the location of a streaming computation stage, for stage-to-stage communication.

Describes a stream of data, either as input to be processed or as output of a streaming Dataflow job.

A rich message format, including a human readable string, a key for identifying the message, and structured data associated with the message for programmatic consumption.

Container for nested types declared in the StructuredMessage message type.

Structured data associated with this message.

Taskrunner configuration settings.

Metadata describing a template.

Provides a method to create Cloud Dataflow jobs from templates.

Base class for server-side implementations of TemplatesService

Client for TemplatesService

TemplatesService client wrapper, for convenient use.

Builder class for TemplatesServiceClient to provide simple configuration of credentials, endpoint etc.

TemplatesService client wrapper implementation, for convenient use.

Settings for TemplatesServiceClient instances.

Global topology of the streaming Dataflow job, including all computations and their sharded locations.

Description of the type, names/ids, and input/outputs for a transform.

Request to update a Cloud Dataflow job.

Information about a worker

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.

Provides data to pass through to the worker harness.

Information about an individual work item execution.

Specifies the algorithm used to determine the number of worker processes to run at any given point in time, based on the amount of data left to process, the number of workers, and how quickly existing workers are processing data.

Indicates the type of autoscaling event.

Enum of possible cases for the "template" oneof.

The default set of packages to be staged on a pool of workers.

Enum of possible cases for the "Value" oneof.

The state of some component of job execution.

Specifies the resource to optimize for in Flexible Resource Scheduling.

Enum of possible cases for the "template" oneof.

The various views of a template that may be retrieved.

Template Type.

Indicates the importance of the message.

Describes the overall state of a [google.dataflow.v1beta3.Job][google.dataflow.v1beta3.Job].

Specifies the processing model used by a [google.dataflow.v1beta3.Job], which determines the way the Job is managed by the Cloud Dataflow service (how workers are scheduled, how inputs are sharded, etc).

Selector for how much information is returned in Job responses.

Type of transform or stage operation.

Enum of possible cases for the "template" oneof.

Enum of possible cases for the "template" oneof.

This field filters out and returns jobs in the specified job state. The order of data returned is determined by the filter used, and is subject to change.

ParameterType specifies what kind of input we need for this parameter.

SDK Language.

The support status of the SDK used to run the job.

Specifies the shuffle mode used by a [google.dataflow.v1beta3.Job], which determines the approach data is shuffled during processing. More details in: https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#dataflow-shuffle

Snapshot state.

Enum of possible cases for the "location" oneof.

Specifies what happens to a resource when a Cloud Dataflow [google.dataflow.v1beta3.Job][google.dataflow.v1beta3.Job] has completed.

Specifies how IP addresses should be allocated to the worker machines.