Class

org.apache.spark.sql

ForeachWriter

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abstract class ForeachWriter[T] extends Serializable

:: Experimental :: A class to consume data generated by a StreamingQuery. Typically this is used to send the generated data to external systems. Each partition will use a new deserialized instance, so you usually should do all the initialization (e.g. opening a connection or initiating a transaction) in the open method.

Scala example:

datasetOfString.write.foreach(new ForeachWriter[String] {

  def open(partitionId: Long, version: Long): Boolean = {
    // open connection
  }

  def process(record: String) = {
    // write string to connection
  }

  def close(errorOrNull: Throwable): Unit = {
    // close the connection
  }
})

Java example:

datasetOfString.write().foreach(new ForeachWriter<String>() {

  @Override
  public boolean open(long partitionId, long version) {
    // open connection
  }

  @Override
  public void process(String value) {
    // write string to connection
  }

  @Override
  public void close(Throwable errorOrNull) {
    // close the connection
  }
});
Annotations
@Experimental() @Evolving()
Source
ForeachWriter.scala
Since

2.0.0

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Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new ForeachWriter()

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Abstract Value Members

  1. abstract def close(errorOrNull: Throwable): Unit

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    Called when stopping to process one partition of new data in the executor side.

    Called when stopping to process one partition of new data in the executor side. This is guaranteed to be called either open returns true or false. However, close won't be called in the following cases:

    • JVM crashes without throwing a Throwable
    • open throws a Throwable.
    errorOrNull

    the error thrown during processing data or null if there was no error.

  2. abstract def open(partitionId: Long, version: Long): Boolean

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    Called when starting to process one partition of new data in the executor.

    Called when starting to process one partition of new data in the executor. The version is for data deduplication when there are failures. When recovering from a failure, some data may be generated multiple times but they will always have the same version.

    If this method finds using the partitionId and version that this partition has already been processed, it can return false to skip the further data processing. However, close still will be called for cleaning up resources.

    partitionId

    the partition id.

    version

    a unique id for data deduplication.

    returns

    true if the corresponding partition and version id should be processed. false indicates the partition should be skipped.

  3. abstract def process(value: T): Unit

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    Called to process the data in the executor side.

    Called to process the data in the executor side. This method will be called only when open returns true.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  8. def finalize(): Unit

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Inherited from Serializable

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