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

Modifier and Type	Method and Description
PCollection<Long>	apply(PBegin begin) Applies this PTransform on the given InputT, and returns its Output.

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

getDefaultOutputCoder, getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName, populateDisplayData, 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>>