GroupByKey.GroupAlsoByWindow (Google Cloud Dataflow SDK 1.9.1 API)

Google Cloud Dataflow SDK for Java, version 1.9.1

Warning: Dataflow SDK 1.x for Java is unsupported as of October 16, 2018. After August 12, 2020, you can use unsupported SDKs temporarily while you upgrade your pipelines. For more information, see Using an unsupported SDK.

For information on migrating from the 1.x SDK, see Migrating from Dataflow SDK 1.x for Java.

Note: If you are using Cloud Dataflow SDK version 2.x, see the Apache Beam API reference documentation.

com.google.cloud.dataflow.sdk.transforms

Class GroupByKey.GroupAlsoByWindow<K,V>

• java.lang.Object
• • com.google.cloud.dataflow.sdk.transforms.PTransform<PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>,PCollection<KV<K,Iterable<V>>>>
  • • com.google.cloud.dataflow.sdk.transforms.GroupByKey.GroupAlsoByWindow<K,V>

• All Implemented Interfaces:

  HasDisplayData, Serializable

  Enclosing class:

  GroupByKey<K,V>

  ---

  
  

  public static class GroupByKey.GroupAlsoByWindow<K,V>
  extends PTransform<PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>,PCollection<KV<K,Iterable<V>>>>

  Helper transform that takes a collection of timestamp-ordered values associated with each key, groups the values by window, combines windows as needed, and for each window in each key, outputs a collection of key/value-list pairs implicitly assigned to the window and with the timestamp derived from that window.

  See Also:

  Serialized Form

• • Field Summary

    • Fields inherited from class com.google.cloud.dataflow.sdk.transforms.PTransform

      name

  • Constructor Summary

    Constructors 

    Constructor and Description
    GroupAlsoByWindow(com.google.cloud.dataflow.sdk.util.WindowingStrategy<?,?> windowingStrategy)

  • Method Summary

    All Methods Instance Methods Concrete Methods 

    Modifier and Type	Method and Description
    PCollection<KV<K,Iterable<V>>>	apply(PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>> 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

• • Constructor Detail

    • GroupAlsoByWindow

      public GroupAlsoByWindow(com.google.cloud.dataflow.sdk.util.WindowingStrategy<?,?> windowingStrategy)

  • Method Detail

    • apply

      public PCollection<KV<K,Iterable<V>>> apply(PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>> 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<PCollection<KV<K,Iterable<com.google.cloud.dataflow.sdk.util.WindowedValue<V>>>>,PCollection<KV<K,Iterable<V>>>>