content: /*
   * 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.assertThrows;
  
  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.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.v32_1_2_jre.com.google.common.collect.ImmutableList;
  import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableSet;
  import org.junit.ClassRule;
  import org.junit.FixMethodOrder;
  import org.junit.Test;
  import org.junit.runners.MethodSorters;
  
  /**
   * Provided Spark Context tests.
   *
   * <p>Note: These tests are run sequentially ordered by their name to reuse the Spark context and
   * speed up testing.
   */
  @FixMethodOrder(MethodSorters.NAME_ASCENDING)
  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";
  
    @ClassRule
    public static SparkContextOptionsRule contextOptionsRule = new SparkContextOptionsRule();
  
    /** Provide a context and call pipeline run. */
    @Test
    public void testAWithProvidedContext() throws Exception {
      Pipeline p = createPipeline();
      PipelineResult result = p.run(); // Run test from pipeline
      result.waitUntilFinish();
      TestPipeline.verifyPAssertsSucceeded(p, result);
      // A provided context must not be stopped after execution
      assertFalse(contextOptionsRule.getSparkContext().sc().isStopped());
    }
  
    /** A SparkRunner with a stopped provided Spark context cannot run pipelines. */
    @Test
    public void testBWithStoppedProvidedContext() {
      // Stop the provided Spark context
      contextOptionsRule.getSparkContext().sc().stop();
      assertThrows(
          PROVIDED_CONTEXT_EXCEPTION,
          RuntimeException.class,
          () -> createPipeline().run().waitUntilFinish());
    }
  
    /** Provide a context and call pipeline run. */
    @Test
    public void testCWithNullContext() {
      contextOptionsRule.getOptions().setProvidedSparkContext(null);
      assertThrows(
          PROVIDED_CONTEXT_EXCEPTION,
          RuntimeException.class,
          () -> createPipeline().run().waitUntilFinish());
    }
  
    private Pipeline createPipeline() {
      Pipeline p = Pipeline.create(contextOptionsRule.getOptions());
      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()));
      // Run test from pipeline
      PAssert.that(output).containsInAnyOrder(EXPECTED_COUNT_SET);
      return p;
    }
  }
  