Sink (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. See Migrating from Dataflow SDK 1.x for Java for migration guidance.

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

com.google.cloud.dataflow.sdk.io

Class Sink<T>

• java.lang.Object
• • com.google.cloud.dataflow.sdk.io.Sink<T>

• Type Parameters:

  T - the type that will be written to the Sink.

  All Implemented Interfaces:

  HasDisplayData, Serializable

  Direct Known Subclasses:

  DatastoreIO.Sink, FileBasedSink

  ---

  
  

  @Experimental(value=SOURCE_SINK)
  public abstract class Sink<T>
  extends Object
  implements Serializable, HasDisplayData

  A Sink represents a resource that can be written to using the Write transform.

  A parallel write to a Sink consists of three phases:

  1. A sequential initialization phase (e.g., creating a temporary output directory, etc.)
  2. A parallel write phase where workers write bundles of records
  3. A sequential finalization phase (e.g., committing the writes, merging output files, etc.)

  The Write transform can be used in a Dataflow pipeline to perform this write. Specifically, a Write transform can be applied to a PCollection p by:

  p.apply(Write.to(new MySink()));

  Implementing a Sink and the corresponding write operations requires extending three abstract classes:

  • Sink: an immutable logical description of the location/resource to write to. Depending on the type of sink, it may contain fields such as the path to an output directory on a filesystem, a database table name, etc. Implementors of Sink must implement two methods: validate(com.google.cloud.dataflow.sdk.options.PipelineOptions) and createWriteOperation(com.google.cloud.dataflow.sdk.options.PipelineOptions). Validate is called by the Write transform at pipeline creation, and should validate that the Sink can be written to. The createWriteOperation method is also called at pipeline creation, and should return a WriteOperation object that defines how to write to the Sink. Note that implementations of Sink must be serializable and Sinks must be immutable.
  • Sink.WriteOperation: The WriteOperation implements the initialization and finalization phases of a write. Implementors of Sink.WriteOperation must implement corresponding Sink.WriteOperation.initialize(com.google.cloud.dataflow.sdk.options.PipelineOptions) and Sink.WriteOperation.finalize(java.lang.Iterable<WriteT>, com.google.cloud.dataflow.sdk.options.PipelineOptions) methods. A WriteOperation must also implement Sink.WriteOperation.createWriter(com.google.cloud.dataflow.sdk.options.PipelineOptions) that creates Writers, Sink.WriteOperation.getWriterResultCoder() that returns a Coder for the result of a parallel write, and a Sink.WriteOperation.getSink() that returns the Sink that the write operation corresponds to. See below for more information about these methods and restrictions on their implementation.
  • Sink.Writer: A Writer writes a bundle of records. Writer defines four methods: Sink.Writer.open(java.lang.String), which is called once at the start of writing a bundle; Sink.Writer.write(T), which writes a single record from the bundle; Sink.Writer.close(), which is called once at the end of writing a bundle; and Sink.Writer.getWriteOperation(), which returns the write operation that the writer belongs to.

  WriteOperation

  Sink.WriteOperation.initialize(com.google.cloud.dataflow.sdk.options.PipelineOptions) and Sink.WriteOperation.finalize(java.lang.Iterable<WriteT>, com.google.cloud.dataflow.sdk.options.PipelineOptions) are conceptually called once: at the beginning and end of a Write transform. However, implementors must ensure that these methods are idempotent, as they may be called multiple times on different machines in the case of failure/retry or for redundancy.

  The finalize method of WriteOperation is passed an Iterable of a writer result type. This writer result type should encode the result of a write and, in most cases, some encoding of the unique bundle id.

  All implementations of Sink.WriteOperation must be serializable.

  WriteOperation may have mutable state. For instance, Sink.WriteOperation.initialize(com.google.cloud.dataflow.sdk.options.PipelineOptions) may mutate the object state. These mutations will be visible in Sink.WriteOperation.createWriter(com.google.cloud.dataflow.sdk.options.PipelineOptions) and Sink.WriteOperation.finalize(java.lang.Iterable<WriteT>, com.google.cloud.dataflow.sdk.options.PipelineOptions) because the object will be serialized after initialize and deserialized before these calls. However, it is not serialized again after createWriter is called, as createWriter will be called within workers to create Writers for the bundles that are distributed to these workers. Therefore, newWriter should not mutate the WriteOperation state (as these mutations will not be visible in finalize).

  Bundle Ids:

  In order to ensure fault-tolerance, a bundle may be executed multiple times (e.g., in the event of failure/retry or for redundancy). However, exactly one of these executions will have its result passed to the WriteOperation's finalize method. Each call to Sink.Writer.open(java.lang.String) is passed a unique bundle id when it is called by the Write transform, so even redundant or retried bundles will have a unique way of identifying their output.

  The bundle id should be used to guarantee that a bundle's output is unique. This uniqueness guarantee is important; if a bundle is to be output to a file, for example, the name of the file must be unique to avoid conflicts with other Writers. The bundle id should be encoded in the writer result returned by the Writer and subsequently used by the WriteOperation's finalize method to identify the results of successful writes.

  For example, consider the scenario where a Writer writes files containing serialized records and the WriteOperation's finalization step is to merge or rename these output files. In this case, a Writer may use its unique id to name its output file (to avoid conflicts) and return the name of the file it wrote as its writer result. The WriteOperation will then receive an Iterable of output file names that it can then merge or rename using some bundle naming scheme.

  Writer Results:

  Sink.WriteOperations and Sink.Writers must agree on a writer result type that will be returned by a Writer after it writes a bundle. This type can be a client-defined object or an existing type; Sink.WriteOperation.getWriterResultCoder() should return a Coder for the type.

  A note about thread safety: Any use of static members or methods in Writer should be thread safe, as different instances of Writer objects may be created in different threads on the same worker.

  See Also:

  Serialized Form

• • Nested Class Summary

    Nested Classes 

    Modifier and Type	Class and Description
    static class	Sink.WriteOperation<T,WriteT> A Sink.WriteOperation defines the process of a parallel write of objects to a Sink.
    static class	Sink.Writer<T,WriteT> A Writer writes a bundle of elements from a PCollection to a sink.

  • Constructor Summary

    Constructors 

    Constructor and Description
    Sink()

  • Method Summary

    All Methods Instance Methods Abstract Methods Concrete Methods 

    Modifier and Type	Method and Description
    abstract Sink.WriteOperation<T,?>	createWriteOperation(PipelineOptions options) Returns an instance of a Sink.WriteOperation that can write to this Sink.
    void	populateDisplayData(DisplayData.Builder builder) Register display data for the given transform or component.
    abstract void	validate(PipelineOptions options) Ensures that the sink is valid and can be written to before the write operation begins.

    • Methods inherited from class java.lang.Object

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

• • Constructor Detail

    • Sink

      public Sink()

  • Method Detail

    • validate

      public abstract void validate(PipelineOptions options)

      Ensures that the sink is valid and can be written to before the write operation begins. One should use Preconditions to implement this method.

    • createWriteOperation

      public abstract Sink.WriteOperation<T,?> createWriteOperation(PipelineOptions options)

      Returns an instance of a Sink.WriteOperation that can write to this Sink.

    • 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