CountingInput.BoundedCountingInput (Google Cloud Dataflow SDK 1.9.1 API)

Google Cloud Dataflow SDK for Java, version 1.9.1

Warning: Dataflow SDK 1.x for Java is unsupported as of October 16, 2018. After August 12, 2020, Dataflow will not run jobs using Dataflow 1.x and below. See Migrating from Dataflow SDK 1.x for Java for migration guidance.

Note: If you are using Cloud Dataflow SDK version 2.x, see the Apache Beam API reference documentation.

com.google.cloud.dataflow.sdk.io

Class CountingInput.BoundedCountingInput

• java.lang.Object
• • com.google.cloud.dataflow.sdk.transforms.PTransform<PBegin,PCollection<Long>>
  • • com.google.cloud.dataflow.sdk.io.CountingInput.BoundedCountingInput

• All Implemented Interfaces:

  HasDisplayData, Serializable

  Enclosing class:

  CountingInput

  ---

  
  

  public static class CountingInput.BoundedCountingInput
  extends PTransform<PBegin,PCollection<Long>>

  A PTransform that will produce a specified number of Longs starting from 0.

  See Also:

  Serialized Form

• • Field Summary

    • Fields inherited from class com.google.cloud.dataflow.sdk.transforms.PTransform

      name

  • Method Summary

    All Methods Instance Methods Concrete Methods 

    Modifier and Type	Method and Description
    PCollection<Long>	apply(PBegin begin) Applies this PTransform on the given InputT, and returns its Output.
    void	populateDisplayData(DisplayData.Builder builder) Register display data for the given transform or component.

    • Methods inherited from class com.google.cloud.dataflow.sdk.transforms.PTransform

      getDefaultOutputCoder, getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName, toString, validate

    • Methods inherited from class java.lang.Object

      clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

• • Method Detail

    • apply

      public PCollection<Long> apply(PBegin begin)

      Description copied from class: PTransform
      Applies this PTransform on the given InputT, and returns its Output.

      Composite transforms, which are defined in terms of other transforms, should return the output of one of the composed transforms. Non-composite transforms, which do not apply any transforms internally, should return a new unbound output and register evaluators (via backend-specific registration methods).

      The default implementation throws an exception. A derived class must either implement apply, or else each runner must supply a custom implementation via PipelineRunner.apply(com.google.cloud.dataflow.sdk.transforms.PTransform<InputT, OutputT>, InputT).

      Overrides:

      apply in class PTransform<PBegin,PCollection<Long>>

    • populateDisplayData

      public void populateDisplayData(DisplayData.Builder builder)

      Description copied from class: PTransform
      Register display data for the given transform or component.

      populateDisplayData(DisplayData.Builder) is invoked by Pipeline runners to collect display data via DisplayData.from(HasDisplayData). Implementations may call super.populateDisplayData(builder) in order to register display data in the current namespace, but should otherwise use subcomponent.populateDisplayData(builder) to use the namespace of the subcomponent.

      By default, does not register any display data. Implementors may override this method to provide their own display data.

      Specified by:

      populateDisplayData in interface HasDisplayData

      Overrides:

      populateDisplayData in class PTransform<PBegin,PCollection<Long>>

      Parameters:

      builder - The builder to populate with display data.

      See Also:

      HasDisplayData