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runners/spark/src/test/java/org/apache/beam/runners/spark/ProvidedSparkContextTest.java
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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 | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| package org.apache.beam.runners.spark; | ||
|
|
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| import static org.junit.Assert.fail; | ||
|
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| import com.google.common.collect.ImmutableSet; | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
| import java.util.Set; | ||
| import org.apache.beam.runners.spark.examples.WordCount; | ||
| import org.apache.beam.sdk.Pipeline; | ||
| 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.transforms.Create; | ||
| import org.apache.beam.sdk.transforms.MapElements; | ||
| import org.apache.beam.sdk.values.PCollection; | ||
| 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 List<String> WORDS = Arrays.asList(WORDS_ARRAY); | ||
| private static final Set<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"; | ||
|
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| /** | ||
| * Provide a context and call pipeline run. | ||
| * @throws Exception | ||
| */ | ||
| @Test | ||
| public void testWithProvidedContext() throws Exception { | ||
| JavaSparkContext jsc = new JavaSparkContext("local[*]", "Existing_Context"); | ||
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| SparkPipelineOptions options = PipelineOptionsFactory.as(SparkPipelineOptions.class); | ||
| options.setRunner(SparkRunner.class); | ||
| options.setUsesProvidedSparkContext(true); | ||
| options.setProvidedSparkContext(jsc); | ||
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| 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())); | ||
|
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| PAssert.that(output).containsInAnyOrder(EXPECTED_COUNT_SET); | ||
|
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| // Run test from pipeline | ||
| p.run(); | ||
|
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| jsc.stop(); | ||
| } | ||
|
|
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| /** | ||
| * Provide a context and call pipeline run. | ||
| * @throws Exception | ||
| */ | ||
| @Test | ||
| public void testWithNullContext() throws Exception { | ||
| JavaSparkContext jsc = null; | ||
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| SparkPipelineOptions options = PipelineOptionsFactory.as(SparkPipelineOptions.class); | ||
| options.setRunner(SparkRunner.class); | ||
| options.setUsesProvidedSparkContext(true); | ||
| options.setProvidedSparkContext(jsc); | ||
|
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| 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())); | ||
|
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| PAssert.that(output).containsInAnyOrder(EXPECTED_COUNT_SET); | ||
|
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| try { | ||
| p.run(); | ||
| fail("Should throw an exception when The provided Spark context is null"); | ||
| } catch (RuntimeException e){ | ||
| assert(e.getMessage().contains(PROVIDED_CONTEXT_EXCEPTION)); | ||
| } | ||
| } | ||
|
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| /** | ||
| * A SparkRunner with a stopped provided Spark context cannot run pipelines. | ||
| * @throws Exception | ||
| */ | ||
| @Test | ||
| public void testWithStoppedProvidedContext() throws Exception { | ||
| JavaSparkContext jsc = new JavaSparkContext("local[*]", "Existing_Context"); | ||
| // Stop the provided Spark context directly | ||
| jsc.stop(); | ||
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| SparkPipelineOptions options = PipelineOptionsFactory.as(SparkPipelineOptions.class); | ||
| options.setRunner(SparkRunner.class); | ||
| options.setUsesProvidedSparkContext(true); | ||
| options.setProvidedSparkContext(jsc); | ||
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| 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())); | ||
|
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| PAssert.that(output).containsInAnyOrder(EXPECTED_COUNT_SET); | ||
|
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| try { | ||
| p.run(); | ||
| fail("Should throw an exception when The provided Spark context is stopped"); | ||
| } catch (RuntimeException e){ | ||
| assert(e.getMessage().contains(PROVIDED_CONTEXT_EXCEPTION)); | ||
| } | ||
| } | ||
|
|
||
| } |