com.google.cloud.dataflow.sdk.testing

Class DataflowAssert.OneSideInputAssert<ActualT>

java.lang.Object

com.google.cloud.dataflow.sdk.transforms.PTransform<PBegin,PDone>

com.google.cloud.dataflow.sdk.testing.DataflowAssert.OneSideInputAssert<ActualT>

All Implemented Interfaces:

HasDisplayData, Serializable

Enclosing class:

DataflowAssert

public static class DataflowAssert.OneSideInputAssert<ActualT>
extends PTransform<PBegin,PDone>
implements Serializable

An assertion checker that takes a single PCollectionView<ActualT> and an assertion over ActualT, and checks it within a Beam pipeline.

Note that the entire assertion must be serializable.

This is generally useful for assertion functions that are serializable but whose underlying data may not have a coder.

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
PDone	apply(PBegin input) 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 PDone apply(PBegin input)

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,PDone>