content: /*
   * Licensed to the Apache Software Foundation (ASF) under one
   * or more contributor license agreements.  See the NOTICE file
   * 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
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  package org.apache.beam.runners.spark.structuredstreaming.translation.batch;
  
  import java.io.Serializable;
  import org.apache.beam.runners.spark.structuredstreaming.SparkSessionRule;
  import org.apache.beam.sdk.testing.PAssert;
  import org.apache.beam.sdk.testing.TestPipeline;
  import org.apache.beam.sdk.transforms.Combine;
  import org.apache.beam.sdk.transforms.Combine.BinaryCombineFn;
  import org.apache.beam.sdk.transforms.CombineFnBase;
  import org.apache.beam.sdk.transforms.Count;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.transforms.Sum;
  import org.apache.beam.sdk.transforms.windowing.FixedWindows;
  import org.apache.beam.sdk.transforms.windowing.Sessions;
  import org.apache.beam.sdk.transforms.windowing.SlidingWindows;
  import org.apache.beam.sdk.transforms.windowing.Window;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.TimestampedValue;
  import org.joda.time.Duration;
  import org.joda.time.Instant;
  import org.junit.ClassRule;
  import org.junit.Rule;
  import org.junit.Test;
  import org.junit.runner.RunWith;
  import org.junit.runners.JUnit4;
  
  /**
   * Test class for beam to spark {@link Combine#globally(CombineFnBase.GlobalCombineFn)} translation.
   */
  @RunWith(JUnit4.class)
  public class CombineGloballyTest implements Serializable {
    @ClassRule public static final SparkSessionRule SESSION = new SparkSessionRule();
  
    @Rule
    public transient TestPipeline pipeline =
        TestPipeline.fromOptions(SESSION.createPipelineOptions());
  
    @Test
    public void testCombineGlobally() {
      PCollection<Integer> input =
          pipeline.apply(Create.of(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)).apply(Sum.integersGlobally());
      PAssert.that(input).containsInAnyOrder(55);
      // uses combine per key
      pipeline.run();
    }
  
    @Test
    public void testCombineGloballyPreservesWindowing() {
      PCollection<Integer> input =
          pipeline
              .apply(
                  Create.timestamped(
                      TimestampedValue.of(1, new Instant(1)),
                      TimestampedValue.of(2, new Instant(2)),
                      TimestampedValue.of(3, new Instant(11)),
                      TimestampedValue.of(4, new Instant(3)),
                      TimestampedValue.of(5, new Instant(11)),
                      TimestampedValue.of(6, new Instant(12))))
              .apply(Window.into(FixedWindows.of(Duration.millis(10))))
              .apply(Sum.integersGlobally().withoutDefaults());
      PAssert.that(input).containsInAnyOrder(7, 14);
      pipeline.run();
    }
  
    @Test
    public void testCombineGloballyWithSlidingWindows() {
      PCollection<Integer> input =
          pipeline
              .apply(
                  Create.timestamped(
                      TimestampedValue.of(1, new Instant(1)),
                      TimestampedValue.of(3, new Instant(2)),
                      TimestampedValue.of(5, new Instant(3)),
                      TimestampedValue.of(2, new Instant(1)),
                      TimestampedValue.of(4, new Instant(2)),
                      TimestampedValue.of(6, new Instant(3))))
              .apply(Window.into(SlidingWindows.of(Duration.millis(3)).every(Duration.millis(1))))
              .apply(Sum.integersGlobally().withoutDefaults());
      PAssert.that(input)
          .containsInAnyOrder(1 + 2, 1 + 2 + 3 + 4, 1 + 3 + 5 + 2 + 4 + 6, 3 + 4 + 5 + 6, 5 + 6);
      pipeline.run();
    }
  
    @Test
    public void testCombineGloballyWithMergingWindows() {
      PCollection<Integer> input =
          pipeline
              .apply(
                  Create.timestamped(
                      TimestampedValue.of(2, new Instant(5)),
                      TimestampedValue.of(4, new Instant(11)),
                      TimestampedValue.of(6, new Instant(12))))
              .apply(Window.into(Sessions.withGapDuration(Duration.millis(5))))
              .apply(Sum.integersGlobally().withoutDefaults());
  
      PAssert.that(input).containsInAnyOrder(2 /*window [5-10)*/, 10 /*window [11-17)*/);
      pipeline.run();
    }
  
    @Test
    public void testCountGloballyWithSlidingWindows() {
      PCollection<String> input =
          pipeline
              .apply(
                  Create.timestamped(
                      TimestampedValue.of("a", new Instant(1)),
                      TimestampedValue.of("a", new Instant(2)),
                      TimestampedValue.of("a", new Instant(2))))
              .apply(Window.into(SlidingWindows.of(Duration.millis(2)).every(Duration.millis(1))));
      PCollection<Long> output =
          input.apply(Combine.globally(Count.<String>combineFn()).withoutDefaults());
      PAssert.that(output).containsInAnyOrder(1L, 3L, 2L);
      pipeline.run();
    }
  
    @Test
    public void testBinaryCombineWithSlidingWindows() {
      PCollection<Integer> input =
          pipeline
              .apply(
                  Create.timestamped(
                      TimestampedValue.of(1, new Instant(1)),
                      TimestampedValue.of(3, new Instant(2)),
                      TimestampedValue.of(5, new Instant(3))))
              .apply(Window.into(SlidingWindows.of(Duration.millis(3)).every(Duration.millis(1))))
              .apply(
                  Combine.globally(BinaryCombineFn.<Integer>of((i1, i2) -> i1 > i2 ? i1 : i2))
                      .withoutDefaults());
      PAssert.that(input).containsInAnyOrder(1, 3, 5, 5, 5);
      pipeline.run();
    }
  }
  