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.spark.streaming.kafka010;
  
  import java.io.Serializable;
  import java.util.*;
  import java.util.concurrent.atomic.AtomicReference;
  
  import org.apache.kafka.common.serialization.StringDeserializer;
  import org.apache.kafka.clients.consumer.ConsumerRecord;
  
  import org.junit.After;
  import org.junit.Assert;
  import org.junit.Before;
  import org.junit.Test;
  
  import org.apache.spark.SparkConf;
  import org.apache.spark.api.java.JavaRDD;
  import org.apache.spark.api.java.function.Function;
  import org.apache.spark.api.java.function.VoidFunction;
  import org.apache.spark.streaming.Durations;
  import org.apache.spark.streaming.api.java.JavaDStream;
  import org.apache.spark.streaming.api.java.JavaInputDStream;
  import org.apache.spark.streaming.api.java.JavaStreamingContext;
  
  public class JavaDirectKafkaStreamSuite implements Serializable {
    private transient JavaStreamingContext ssc = null;
    private transient KafkaTestUtils kafkaTestUtils = null;
  
    @Before
    public void setUp() {
      kafkaTestUtils = new KafkaTestUtils();
      kafkaTestUtils.setup();
      SparkConf sparkConf = new SparkConf()
        .setMaster("local[4]").setAppName(this.getClass().getSimpleName());
      ssc = new JavaStreamingContext(sparkConf, Durations.milliseconds(200));
    }
  
    @After
    public void tearDown() {
      if (ssc != null) {
        ssc.stop();
        ssc = null;
      }
  
      if (kafkaTestUtils != null) {
        kafkaTestUtils.teardown();
        kafkaTestUtils = null;
      }
    }
  
    @Test
    public void testKafkaStream() throws InterruptedException {
      final String topic1 = "topic1";
      final String topic2 = "topic2";
      // hold a reference to the current offset ranges, so it can be used downstream
      final AtomicReference<OffsetRange[]> offsetRanges = new AtomicReference<>();
  
      String[] topic1data = createTopicAndSendData(topic1);
      String[] topic2data = createTopicAndSendData(topic2);
  
      Set<String> sent = new HashSet<>();
      sent.addAll(Arrays.asList(topic1data));
      sent.addAll(Arrays.asList(topic2data));
  
      Random random = new Random();
  
      final Map<String, Object> kafkaParams = new HashMap<>();
      kafkaParams.put("bootstrap.servers", kafkaTestUtils.brokerAddress());
      kafkaParams.put("key.deserializer", StringDeserializer.class);
      kafkaParams.put("value.deserializer", StringDeserializer.class);
      kafkaParams.put("auto.offset.reset", "earliest");
      kafkaParams.put("group.id", "java-test-consumer-" + random.nextInt() +
        "-" + System.currentTimeMillis());
  
      JavaInputDStream<ConsumerRecord<String, String>> istream1 = KafkaUtils.createDirectStream(
          ssc,
          LocationStrategies.PreferConsistent(),
          ConsumerStrategies.<String, String>Subscribe(Arrays.asList(topic1), kafkaParams)
      );
  
      JavaDStream<String> stream1 = istream1.transform(
        // Make sure you can get offset ranges from the rdd
        new Function<JavaRDD<ConsumerRecord<String, String>>,
          JavaRDD<ConsumerRecord<String, String>>>() {
            @Override
            public JavaRDD<ConsumerRecord<String, String>> call(
              JavaRDD<ConsumerRecord<String, String>> rdd
            ) {
              OffsetRange[] offsets = ((HasOffsetRanges) rdd.rdd()).offsetRanges();
              offsetRanges.set(offsets);
              Assert.assertEquals(topic1, offsets[0].topic());
              return rdd;
            }
          }
      ).map(
          new Function<ConsumerRecord<String, String>, String>() {
            @Override
            public String call(ConsumerRecord<String, String> r) {
              return r.value();
            }
          }
      );
  
      final Map<String, Object> kafkaParams2 = new HashMap<>(kafkaParams);
      kafkaParams2.put("group.id", "java-test-consumer-" + random.nextInt() +
        "-" + System.currentTimeMillis());
  
      JavaInputDStream<ConsumerRecord<String, String>> istream2 = KafkaUtils.createDirectStream(
          ssc,
          LocationStrategies.PreferConsistent(),
          ConsumerStrategies.<String, String>Subscribe(Arrays.asList(topic2), kafkaParams2)
      );
  
      JavaDStream<String> stream2 = istream2.transform(
        // Make sure you can get offset ranges from the rdd
        new Function<JavaRDD<ConsumerRecord<String, String>>,
          JavaRDD<ConsumerRecord<String, String>>>() {
            @Override
            public JavaRDD<ConsumerRecord<String, String>> call(
              JavaRDD<ConsumerRecord<String, String>> rdd
            ) {
              OffsetRange[] offsets = ((HasOffsetRanges) rdd.rdd()).offsetRanges();
              offsetRanges.set(offsets);
              Assert.assertEquals(topic2, offsets[0].topic());
              return rdd;
            }
          }
      ).map(
          new Function<ConsumerRecord<String, String>, String>() {
            @Override
            public String call(ConsumerRecord<String, String> r) {
              return r.value();
            }
          }
      );
  
      JavaDStream<String> unifiedStream = stream1.union(stream2);
  
      final Set<String> result = Collections.synchronizedSet(new HashSet<String>());
      unifiedStream.foreachRDD(new VoidFunction<JavaRDD<String>>() {
            @Override
            public void call(JavaRDD<String> rdd) {
              result.addAll(rdd.collect());
            }
          }
      );
      ssc.start();
      long startTime = System.currentTimeMillis();
      boolean matches = false;
      while (!matches && System.currentTimeMillis() - startTime < 20000) {
        matches = sent.size() == result.size();
        Thread.sleep(50);
      }
      Assert.assertEquals(sent, result);
      ssc.stop();
    }
  
    private  String[] createTopicAndSendData(String topic) {
      String[] data = { topic + "-1", topic + "-2", topic + "-3"};
      kafkaTestUtils.createTopic(topic);
      kafkaTestUtils.sendMessages(topic, data);
      return data;
    }
  }
  