Google Cloud Dataflow SDK for Java, version 1.9.1
Class Flatten.FlattenPCollectionList<T>
- java.lang.Object
-
- com.google.cloud.dataflow.sdk.transforms.PTransform<PCollectionList<T>,PCollection<T>>
-
- com.google.cloud.dataflow.sdk.transforms.Flatten.FlattenPCollectionList<T>
-
- Type Parameters:
T
- the type of the elements in the input and outputPCollection
s.
- All Implemented Interfaces:
- HasDisplayData, Serializable
- Enclosing class:
- Flatten
public static class Flatten.FlattenPCollectionList<T> extends PTransform<PCollectionList<T>,PCollection<T>>
APTransform
that flattens aPCollectionList
into aPCollection
containing all the elements of all thePCollection
s in its input. ImplementsFlatten.pCollections()
.- 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<T>
apply(PCollectionList<T> inputs)
Applies thisPTransform
on the givenInputT
, and returns itsOutput
.protected Coder<?>
getDefaultOutputCoder(PCollectionList<T> input)
Returns the defaultCoder
to use for the output of this single-outputPTransform
when applied to the given input.-
Methods inherited from class com.google.cloud.dataflow.sdk.transforms.PTransform
getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName, populateDisplayData, toString, validate
-
-
-
-
Method Detail
-
apply
public PCollection<T> apply(PCollectionList<T> inputs)
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<PCollectionList<T>,PCollection<T>>
-
getDefaultOutputCoder
protected Coder<?> getDefaultOutputCoder(PCollectionList<T> input) throws CannotProvideCoderException
Description copied from class:PTransform
Returns the defaultCoder
to use for the output of this single-outputPTransform
when applied to the given input.By default, always throws.
- Overrides:
getDefaultOutputCoder
in classPTransform<PCollectionList<T>,PCollection<T>>
- Throws:
CannotProvideCoderException
- if none can be inferred.
-
-