SparkCompatSpark3.java

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 * Licensed to the Apache Software Foundation (ASF) under one
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 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
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package org.apache.beam.runners.spark.util;

import java.util.List;
import org.apache.beam.runners.spark.translation.SparkCombineFn;
import org.apache.beam.sdk.annotations.Internal;
import org.apache.beam.sdk.util.WindowedValue;
import org.apache.beam.sdk.values.KV;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import scala.collection.JavaConverters;

/** A set of functions to provid API compatibility between Spark 2 and Spark 3. */
@Internal
public class SparkCompat {
  /**
   * Union of dStreams in the given StreamingContext.
   *
   * <p>This is required because the API to join (union) DStreams is different among Spark versions.
   * See https://issues.apache.org/jira/browse/SPARK-25737
   */
  public static <T> JavaDStream<WindowedValue<T>> joinStreams(
      JavaStreamingContext streamingContext, List<JavaDStream<WindowedValue<T>>> dStreams) {
    return streamingContext.union(
        JavaConverters.asScalaIteratorConverter(dStreams.iterator()).asScala().toSeq());
  }

  /**
   * Extracts the output for a given collection of WindowedAccumulators.
   *
   * <p>This is required because the API of JavaPairRDD.flatMapValues is different among Spark
   * versions. See https://issues.apache.org/jira/browse/SPARK-19287
   */
  public static <K, InputT, AccumT, OutputT> JavaPairRDD<K, WindowedValue<OutputT>> extractOutput(
      JavaPairRDD<K, SparkCombineFn.WindowedAccumulator<KV<K, InputT>, InputT, AccumT, ?>>
          accumulatePerKey,
      SparkCombineFn<KV<K, InputT>, InputT, AccumT, OutputT> sparkCombineFn) {
    FlatMapFunction<
            SparkCombineFn.WindowedAccumulator<KV<K, InputT>, InputT, AccumT, ?>,
            WindowedValue<OutputT>>
        flatMapFunction =
            (FlatMapFunction<
                    SparkCombineFn.WindowedAccumulator<KV<K, InputT>, InputT, AccumT, ?>,
                    WindowedValue<OutputT>>)
                windowedAccumulator ->
                    sparkCombineFn.extractOutputStream(windowedAccumulator).iterator();
    return accumulatePerKey.flatMapValues(flatMapFunction);
  }
}