Google Cloud Dataflow SDK for Java, version 1.9.1
Class Flatten.FlattenIterables<T>
- java.lang.Object
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- com.google.cloud.dataflow.sdk.transforms.PTransform<PCollection<? extends Iterable<T>>,PCollection<T>>
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- com.google.cloud.dataflow.sdk.transforms.Flatten.FlattenIterables<T>
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- Type Parameters:
T
- the type of the elements of the inputIterable
s and the outputPCollection
- All Implemented Interfaces:
- HasDisplayData, Serializable
- Enclosing class:
- Flatten
public static class Flatten.FlattenIterables<T> extends PTransform<PCollection<? extends Iterable<T>>,PCollection<T>>
FlattenIterables<T>
takes aPCollection<Iterable<T>>
and returns aPCollection<T>
that contains all the elements from each iterable. ImplementsFlatten.iterables()
.- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class com.google.cloud.dataflow.sdk.transforms.PTransform
name
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Constructor Summary
Constructors Constructor and Description FlattenIterables()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description PCollection<T>
apply(PCollection<? extends Iterable<T>> in)
Applies thisPTransform
on the givenInputT
, and returns itsOutput
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Methods inherited from class com.google.cloud.dataflow.sdk.transforms.PTransform
getDefaultOutputCoder, getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName, populateDisplayData, toString, validate
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Method Detail
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apply
public PCollection<T> apply(PCollection<? extends Iterable<T>> in)
Description copied from class:PTransform
Applies thisPTransform
on the givenInputT
, and returns itsOutput
.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 classPTransform<PCollection<? extends Iterable<T>>,PCollection<T>>
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