Package org.apache.beam.runners.dataflow.options

Provides PipelineOptions specific to Google Cloud Dataflow.

See: Description

Interface Summary

Interface	Description
CloudDebuggerOptions	Options for controlling Cloud Debugger.
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	Options that are used to control logging configuration on the Dataflow worker.

Class Summary

Class	Description
DataflowPipelineDebugOptions.DataflowClientFactory	Returns the default Dataflow client built from the passed in PipelineOptions.
DataflowPipelineDebugOptions.StagerFactory	Creates a Stager object using the class specified in DataflowPipelineDebugOptions.getStagerClass().
DataflowPipelineOptions.StagingLocationFactory	Returns a default staging location under GcpOptions.getGcpTempLocation().
DataflowPipelineWorkerPoolOptions.WorkerHarnessContainerImageFactory	Returns the default Docker container image that executes Dataflow worker harness, residing in Google Container Registry.
DataflowProfilingOptions.DataflowProfilingAgentConfiguration	Configuration the for profiling agent.
DataflowWorkerLoggingOptions.WorkerLogLevelOverrides	Defines a log level override for a specific class, package, or name.

Enum Summary

Enum	Description
DataflowPipelineWorkerPoolOptions.AutoscalingAlgorithmType	Type of autoscaling algorithm to use.
DataflowWorkerLoggingOptions.Level	The set of log levels that can be used on the Dataflow worker.

Package org.apache.beam.runners.dataflow.options Description

Provides PipelineOptions specific to Google Cloud Dataflow.