Google Cloud Dataflow SDK for Java, version 1.9.1
Class GroupByKey.SortValuesByTimestamp<K,V>
- java.lang.Object
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- com.google.cloud.dataflow.sdk.transforms.PTransform<PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>,PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>>
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- com.google.cloud.dataflow.sdk.transforms.GroupByKey.SortValuesByTimestamp<K,V>
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- All Implemented Interfaces:
- HasDisplayData, Serializable
- Enclosing class:
- GroupByKey<K,V>
public static class GroupByKey.SortValuesByTimestamp<K,V> extends PTransform<PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>,PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>>
Helper transform that sorts the values associated with each key by timestamp.- 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 SortValuesByTimestamp()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>
apply(PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>> input)
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<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>> apply(PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>> input)
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<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>,PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>>
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