PipelineOptions specific to Google Cloud Dataflow.See: Description
| Interface | Description | 
|---|---|
| DataflowPipelineDebugOptions | Internal. | 
| DataflowPipelineOptions | Options that can be used to configure the  DataflowRunner. | 
| DataflowPipelineWorkerPoolOptions | Options that are used to configure the Dataflow pipeline worker pool. | 
| DataflowProfilingOptions | Options for controlling profiling of pipeline execution. | 
| DataflowWorkerHarnessOptions | Options that are used exclusively within the Dataflow worker harness. | 
| DataflowWorkerLoggingOptions | Deprecated This interface will no longer be the source of truth for worker logging configuration
     once jobs are executed using a dedicated SDK harness instead of user code being co-located
     alongside Dataflow worker code. | 
| Class | Description | 
|---|---|
| DataflowPipelineDebugOptions.DataflowClientFactory | Returns the default Dataflow client built from the passed in PipelineOptions. | 
| DataflowPipelineDebugOptions.StagerFactory | Creates a  Stagerobject using the class specified inDataflowPipelineDebugOptions.getStagerClass(). | 
| DataflowPipelineOptions.StagingLocationFactory | Returns a default staging location under  GcpOptions.getGcpTempLocation(). | 
| DataflowProfilingOptions.DataflowProfilingAgentConfiguration | Configuration the for profiling agent. | 
| DataflowWorkerLoggingOptions.WorkerLogLevelOverrides | Defines a log level override for a specific class, package, or name. | 
| DefaultGcpRegionFactory | Factory for a default value for Google Cloud region according to
 https://cloud.google.com/compute/docs/gcloud-compute/#default-properties. | 
| Enum | Description | 
|---|---|
| DataflowPipelineOptions.FlexResourceSchedulingGoal | Set of available Flexible Resource Scheduling goals. | 
| DataflowPipelineWorkerPoolOptions.AutoscalingAlgorithmType | Type of autoscaling algorithm to use. | 
| DataflowWorkerLoggingOptions.Level | The set of log levels that can be used on the Dataflow worker. | 
PipelineOptions specific to Google Cloud Dataflow.