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/*
* 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
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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.Flatten;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.PCollectionList;
import org.junit.BeforeClass;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
/** Test class for beam to spark flatten translation. */
@RunWith(JUnit4.class)
public class FlattenTest 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 testFlatten() {
PCollection<Integer> input1 = pipeline.apply(Create.of(1, 2, 3, 4, 5, 6, 7, 8, 9, 10));
PCollection<Integer> input2 = pipeline.apply(Create.of(11, 12, 13, 14, 15, 16, 17, 18, 19, 20));
PCollectionList<Integer> pcs = PCollectionList.of(input1).and(input2);
PCollection<Integer> input = pcs.apply(Flatten.pCollections());
PAssert.that(input)
.containsInAnyOrder(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20);
pipeline.run();
}
}