| /* |
| * 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.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(); |
| } |
| } |