Sample (Google Cloud Dataflow SDK 1.9.1 API)

Google Cloud Dataflow SDK for Java, version 1.9.1

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 Sample

• java.lang.Object
• • com.google.cloud.dataflow.sdk.transforms.Sample

• ---

  
  

  public class Sample
  extends Object

  PTransforms for taking samples of the elements in a PCollection, or samples of the values associated with each key in a PCollection of KVs.

• • Nested Class Summary

    Nested Classes 

    Modifier and Type	Class and Description
    static class	Sample.FixedSizedSampleFn<T> CombineFn that computes a fixed-size sample of a collection of values.
    static class	Sample.SampleAny<T> A PTransform that takes a PCollection<T> and a limit, and produces a new PCollection<T> containing up to limit elements of the input PCollection.

  • Constructor Summary

    Constructors 

    Constructor and Description
    Sample()

  • Method Summary

    All Methods Static Methods Concrete Methods 

    Modifier and Type	Method and Description
    static <T> PTransform<PCollection<T>,PCollection<T>>	any(long limit) Sample#any(long) takes a PCollection<T> and a limit, and produces a new PCollection<T> containing up to limit elements of the input PCollection.
    static <T> PTransform<PCollection<T>,PCollection<Iterable<T>>>	fixedSizeGlobally(int sampleSize) Returns a PTransform that takes a PCollection<T>, selects sampleSize elements, uniformly at random, and returns a PCollection<Iterable<T>> containing the selected elements.
    static <K,V> PTransform<PCollection<KV<K,V>>,PCollection<KV<K,Iterable<V>>>>	fixedSizePerKey(int sampleSize) Returns a PTransform that takes an input PCollection<KV<K, V>> and returns a PCollection<KV<K, Iterable<V>>> that contains an output element mapping each distinct key in the input PCollection to a sample of sampleSize values associated with that key in the input PCollection, taken uniformly at random.

    • Methods inherited from class java.lang.Object

      clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

• • Constructor Detail

    • Sample

      public Sample()

  • Method Detail

    • any

      public static <T> PTransform<PCollection<T>,PCollection<T>> any(long limit)

      Sample#any(long) takes a PCollection<T> and a limit, and produces a new PCollection<T> containing up to limit elements of the input PCollection.

      If limit is less than or equal to the size of the input PCollection, then all the input's elements will be selected.

      All of the elements of the output PCollection should fit into main memory of a single worker machine. This operation does not run in parallel.

      Example of use:

       
       PCollection<String> input = ...;
       PCollection<String> output = input.apply(Sample.<String>any(100));
        

      Type Parameters:

      T - the type of the elements of the input and output PCollections

      Parameters:

      limit - the number of elements to take from the input

    • fixedSizeGlobally

      public static <T> PTransform<PCollection<T>,PCollection<Iterable<T>>> fixedSizeGlobally(int sampleSize)

      Returns a PTransform that takes a PCollection<T>, selects sampleSize elements, uniformly at random, and returns a PCollection<Iterable<T>> containing the selected elements. If the input PCollection has fewer than sampleSize elements, then the output Iterable<T> will be all the input's elements.

      Example of use:

       
       PCollection<String> pc = ...;
       PCollection<Iterable<String>> sampleOfSize10 =
           pc.apply(Sample.fixedSizeGlobally(10));
        

      Type Parameters:

      T - the type of the elements

      Parameters:

      sampleSize - the number of elements to select; must be >= 0

    • fixedSizePerKey

      public static <K,V> PTransform<PCollection<KV<K,V>>,PCollection<KV<K,Iterable<V>>>> fixedSizePerKey(int sampleSize)

      Returns a PTransform that takes an input PCollection<KV<K, V>> and returns a PCollection<KV<K, Iterable<V>>> that contains an output element mapping each distinct key in the input PCollection to a sample of sampleSize values associated with that key in the input PCollection, taken uniformly at random. If a key in the input PCollection has fewer than sampleSize values associated with it, then the output Iterable<V> associated with that key will be all the values associated with that key in the input PCollection.

      Example of use:

       
       PCollection<KV<String, Integer>> pc = ...;
       PCollection<KV<String, Iterable<Integer>>> sampleOfSize10PerKey =
           pc.apply(Sample.<String, Integer>fixedSizePerKey());
        

      Type Parameters:

      K - the type of the keys

      V - the type of the values

      Parameters:

      sampleSize - the number of values to select for each distinct key; must be >= 0