runners/spark/3/src/test/java/org/apache/beam/runners/spark/structuredstreaming/translation/batch/WindowAssignTest.java

/*
 * 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.
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package org.apache.beam.runners.spark.structuredstreaming.translation.batch;

import java.io.Serializable;
import org.apache.beam.runners.spark.structuredstreaming.SparkStructuredStreamingPipelineOptions;
import org.apache.beam.runners.spark.structuredstreaming.SparkStructuredStreamingRunner;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.testing.PAssert;
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.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.BeforeClass;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;

/** Test class for beam to spark window assign translation. */
@RunWith(JUnit4.class)
public class WindowAssignTest implements Serializable {
  private static Pipeline pipeline;

  @BeforeClass
  public static void beforeClass() {
    SparkStructuredStreamingPipelineOptions options =
        PipelineOptionsFactory.create().as(SparkStructuredStreamingPipelineOptions.class);
    options.setRunner(SparkStructuredStreamingRunner.class);
    options.setTestMode(true);
    pipeline = Pipeline.create(options);
  }

  @Test
  public void testWindowAssign() {
    PCollection<Integer> input =
        pipeline
            .apply(
                Create.timestamped(
                    TimestampedValue.of(1, new Instant(1)),
                    TimestampedValue.of(2, new Instant(2)),
                    TimestampedValue.of(3, new Instant(3)),
                    TimestampedValue.of(4, new Instant(10)),
                    TimestampedValue.of(5, new Instant(11))))
            .apply(Window.into(FixedWindows.of(Duration.millis(10))))
            .apply(Sum.integersGlobally().withoutDefaults());
    PAssert.that(input).containsInAnyOrder(6, 9);
    pipeline.run();
  }
}