Combine.CombineFn (Google Cloud Dataflow SDK 1.9.1 API)

Google Cloud Dataflow SDK for Java, version 1.9.1

com.google.cloud.dataflow.sdk.transforms

Class Combine.CombineFn<InputT,AccumT,OutputT>

  • java.lang.Object
    • com.google.cloud.dataflow.sdk.transforms.Combine.CombineFn<InputT,AccumT,OutputT>
  • Type Parameters:
    InputT - type of input values
    AccumT - type of mutable accumulator values
    OutputT - type of output values
    All Implemented Interfaces:
    CombineFnBase.GlobalCombineFn<InputT,AccumT,OutputT>, HasDisplayData, Serializable
    Direct Known Subclasses:
    ApproximateUnique.ApproximateUniqueCombineFn, Combine.AccumulatingCombineFn, Combine.BinaryCombineDoubleFn, Combine.BinaryCombineFn, Combine.BinaryCombineIntegerFn, Combine.BinaryCombineLongFn, Combine.IterableCombineFn, CombineFns.ComposedCombineFn, Sample.FixedSizedSampleFn
    Enclosing class:
    Combine


    public abstract static class Combine.CombineFn<InputT,AccumT,OutputT>
    extends Object
    A CombineFn<InputT, AccumT, OutputT> specifies how to combine a collection of input values of type InputT into a single output value of type OutputT. It does this via one or more intermediate mutable accumulator values of type AccumT.

    The overall process to combine a collection of input InputT values into a single output OutputT value is as follows:

    1. The input InputT values are partitioned into one or more batches.
    2. For each batch, the createAccumulator() operation is invoked to create a fresh mutable accumulator value of type AccumT, initialized to represent the combination of zero values.
    3. For each input InputT value in a batch, the addInput(AccumT, InputT) operation is invoked to add the value to that batch's accumulator AccumT value. The accumulator may just record the new value (e.g., if AccumT == List<InputT>, or may do work to represent the combination more compactly.
    4. The mergeAccumulators(java.lang.Iterable<AccumT>) operation is invoked to combine a collection of accumulator AccumT values into a single combined output accumulator AccumT value, once the merging accumulators have had all all the input values in their batches added to them. This operation is invoked repeatedly, until there is only one accumulator value left.
    5. The extractOutput(AccumT) operation is invoked on the final accumulator AccumT value to get the output OutputT value.

    For example:

     
     public class AverageFn extends CombineFn<Integer, AverageFn.Accum, Double> {
       public static class Accum {
         int sum = 0;
         int count = 0;
       }
       public Accum createAccumulator() {
         return new Accum();
       }
       public Accum addInput(Accum accum, Integer input) {
           accum.sum += input;
           accum.count++;
           return accum;
       }
       public Accum mergeAccumulators(Iterable<Accum> accums) {
         Accum merged = createAccumulator();
         for (Accum accum : accums) {
           merged.sum += accum.sum;
           merged.count += accum.count;
         }
         return merged;
       }
       public Double extractOutput(Accum accum) {
         return ((double) accum.sum) / accum.count;
       }
     }
     PCollection<Integer> pc = ...;
     PCollection<Double> average = pc.apply(Combine.globally(new AverageFn()));
      

    Combining functions used by Combine.Globally, Combine.PerKey, Combine.GroupedValues, and PTransforms derived from them should be associative and commutative. Associativity is required because input values are first broken up into subgroups before being combined, and their intermediate results further combined, in an arbitrary tree structure. Commutativity is required because any order of the input values is ignored when breaking up input values into groups.

    See Also:
    Serialized Form
    • Constructor Detail

      • CombineFn

        public CombineFn()
    • Method Detail

      • createAccumulator

        public abstract AccumT createAccumulator()
        Returns a new, mutable accumulator value, representing the accumulation of zero input values.
      • addInput

        public abstract AccumT addInput(AccumT accumulator,
                                        InputT input)
        Adds the given input value to the given accumulator, returning the new accumulator value.

        For efficiency, the input accumulator may be modified and returned.

      • mergeAccumulators

        public abstract AccumT mergeAccumulators(Iterable<AccumT> accumulators)
        Returns an accumulator representing the accumulation of all the input values accumulated in the merging accumulators.

        May modify any of the argument accumulators. May return a fresh accumulator, or may return one of the (modified) argument accumulators.

      • extractOutput

        public abstract OutputT extractOutput(AccumT accumulator)
        Returns the output value that is the result of combining all the input values represented by the given accumulator.
      • compact

        public AccumT compact(AccumT accumulator)
        Returns an accumulator that represents the same logical value as the input accumulator, but may have a more compact representation.

        For most CombineFns this would be a no-op, but should be overridden by CombineFns that (for example) buffer up elements and combine them in batches.

        For efficiency, the input accumulator may be modified and returned.

        By default returns the original accumulator.

      • defaultValue

        public OutputT defaultValue()
        Returns the default value when there are no values added to the accumulator.

        By default returns the extract output of an empty accumulator.

      • getOutputType

        public TypeDescriptor<OutputT> getOutputType()
        Returns a TypeDescriptor capturing what is known statically about the output type of this CombineFn instance's most-derived class.

        In the normal case of a concrete CombineFn subclass with no generic type parameters of its own, this will be a complete non-generic type.

      • getAccumulatorCoder

        public Coder<AccumT> getAccumulatorCoder(CoderRegistry registry,
                                                 Coder<InputT> inputCoder)
                                          throws CannotProvideCoderException
        Description copied from interface: CombineFnBase.GlobalCombineFn
        Returns the Coder to use for accumulator AccumT values, or null if it is not able to be inferred.

        By default, uses the knowledge of the Coder being used for InputT values and the enclosing Pipeline's CoderRegistry to try to infer the Coder for AccumT values.

        This is the Coder used to send data through a communication-intensive shuffle step, so a compact and efficient representation may have significant performance benefits.

        Specified by:
        getAccumulatorCoder in interface CombineFnBase.GlobalCombineFn<InputT,AccumT,OutputT>
        Throws:
        CannotProvideCoderException
      • populateDisplayData

        public void populateDisplayData(DisplayData.Builder builder)
        Register display data for the given transform or component.

        populateDisplayData(DisplayData.Builder) is invoked by Pipeline runners to collect display data via DisplayData.from(HasDisplayData). Implementations may call super.populateDisplayData(builder) in order to register display data in the current namespace, but should otherwise use subcomponent.populateDisplayData(builder) to use the namespace of the subcomponent.

        By default, does not register any display data. Implementors may override this method to provide their own display data.

        Specified by:
        populateDisplayData in interface HasDisplayData
        Parameters:
        builder - The builder to populate with display data.
        See Also:
        HasDisplayData


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