| /* |
| * 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; |
| |
| import static org.junit.Assert.assertFalse; |
| import static org.junit.Assert.fail; |
| |
| import org.apache.beam.runners.spark.examples.WordCount; |
| import org.apache.beam.sdk.Pipeline; |
| import org.apache.beam.sdk.PipelineResult; |
| import org.apache.beam.sdk.coders.StringUtf8Coder; |
| import org.apache.beam.sdk.options.PipelineOptionsFactory; |
| import org.apache.beam.sdk.testing.PAssert; |
| import org.apache.beam.sdk.testing.TestPipeline; |
| import org.apache.beam.sdk.transforms.Create; |
| import org.apache.beam.sdk.transforms.MapElements; |
| import org.apache.beam.sdk.values.PCollection; |
| import org.apache.beam.vendor.guava.v20_0.com.google.common.collect.ImmutableList; |
| import org.apache.beam.vendor.guava.v20_0.com.google.common.collect.ImmutableSet; |
| import org.apache.spark.api.java.JavaSparkContext; |
| import org.junit.Test; |
| |
| /** Provided Spark Context tests. */ |
| public class ProvidedSparkContextTest { |
| private static final String[] WORDS_ARRAY = { |
| "hi there", "hi", "hi sue bob", |
| "hi sue", "", "bob hi" |
| }; |
| private static final ImmutableList<String> WORDS = ImmutableList.copyOf(WORDS_ARRAY); |
| private static final ImmutableSet<String> EXPECTED_COUNT_SET = |
| ImmutableSet.of("hi: 5", "there: 1", "sue: 2", "bob: 2"); |
| private static final String PROVIDED_CONTEXT_EXCEPTION = |
| "The provided Spark context was not created or was stopped"; |
| |
| /** Provide a context and call pipeline run. */ |
| @Test |
| public void testWithProvidedContext() throws Exception { |
| JavaSparkContext jsc = new JavaSparkContext("local[*]", "Existing_Context"); |
| testWithValidProvidedContext(jsc); |
| // A provided context must not be stopped after execution |
| assertFalse(jsc.sc().isStopped()); |
| jsc.stop(); |
| } |
| |
| /** Provide a context and call pipeline run. */ |
| @Test |
| public void testWithNullContext() throws Exception { |
| testWithInvalidContext(null); |
| } |
| |
| /** A SparkRunner with a stopped provided Spark context cannot run pipelines. */ |
| @Test |
| public void testWithStoppedProvidedContext() throws Exception { |
| JavaSparkContext jsc = new JavaSparkContext("local[*]", "Existing_Context"); |
| // Stop the provided Spark context directly |
| jsc.stop(); |
| testWithInvalidContext(jsc); |
| } |
| |
| private void testWithValidProvidedContext(JavaSparkContext jsc) throws Exception { |
| SparkContextOptions options = getSparkContextOptions(jsc); |
| |
| Pipeline p = Pipeline.create(options); |
| PCollection<String> inputWords = p.apply(Create.of(WORDS).withCoder(StringUtf8Coder.of())); |
| PCollection<String> output = |
| inputWords |
| .apply(new WordCount.CountWords()) |
| .apply(MapElements.via(new WordCount.FormatAsTextFn())); |
| |
| PAssert.that(output).containsInAnyOrder(EXPECTED_COUNT_SET); |
| |
| // Run test from pipeline |
| PipelineResult result = p.run(); |
| |
| TestPipeline.verifyPAssertsSucceeded(p, result); |
| } |
| |
| private void testWithInvalidContext(JavaSparkContext jsc) { |
| SparkContextOptions options = getSparkContextOptions(jsc); |
| |
| Pipeline p = Pipeline.create(options); |
| PCollection<String> inputWords = p.apply(Create.of(WORDS).withCoder(StringUtf8Coder.of())); |
| inputWords |
| .apply(new WordCount.CountWords()) |
| .apply(MapElements.via(new WordCount.FormatAsTextFn())); |
| |
| try { |
| p.run().waitUntilFinish(); |
| fail("Should throw an exception when The provided Spark context is null or stopped"); |
| } catch (RuntimeException e) { |
| assert e.getMessage().contains(PROVIDED_CONTEXT_EXCEPTION); |
| } |
| } |
| |
| private static SparkContextOptions getSparkContextOptions(JavaSparkContext jsc) { |
| final SparkContextOptions options = PipelineOptionsFactory.as(SparkContextOptions.class); |
| options.setRunner(TestSparkRunner.class); |
| options.setUsesProvidedSparkContext(true); |
| options.setProvidedSparkContext(jsc); |
| options.setEnableSparkMetricSinks(false); |
| return options; |
| } |
| } |