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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.spark.streaming.kafka;
import java.io.Serializable;
import java.util.*;
import scala.Tuple2;
import kafka.serializer.StringDecoder;
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.JavaPairRDD;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.VoidFunction;
import org.apache.spark.storage.StorageLevel;
import org.apache.spark.streaming.Duration;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaPairDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
public class JavaKafkaStreamSuite implements Serializable {
private transient JavaStreamingContext ssc = null;
private transient Random random = new Random();
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, new Duration(500));
}
@After
public void tearDown() {
if (ssc != null) {
ssc.stop();
ssc = null;
}
if (kafkaTestUtils != null) {
kafkaTestUtils.teardown();
kafkaTestUtils = null;
}
}
@Test
public void testKafkaStream() throws InterruptedException {
String topic = "topic1";
Map<String, Integer> topics = new HashMap<>();
topics.put(topic, 1);
Map<String, Integer> sent = new HashMap<>();
sent.put("a", 5);
sent.put("b", 3);
sent.put("c", 10);
kafkaTestUtils.createTopic(topic, 1);
kafkaTestUtils.sendMessages(topic, sent);
Map<String, String> kafkaParams = new HashMap<>();
kafkaParams.put("zookeeper.connect", kafkaTestUtils.zkAddress());
kafkaParams.put("group.id", "test-consumer-" + random.nextInt(10000));
kafkaParams.put("auto.offset.reset", "smallest");
JavaPairDStream<String, String> stream = KafkaUtils.createStream(ssc,
String.class,
String.class,
StringDecoder.class,
StringDecoder.class,
kafkaParams,
topics,
StorageLevel.MEMORY_ONLY_SER());
final Map<String, Long> result = Collections.synchronizedMap(new HashMap<String, Long>());
JavaDStream<String> words = stream.map(
new Function<Tuple2<String, String>, String>() {
@Override
public String call(Tuple2<String, String> tuple2) {
return tuple2._2();
}
}
);
words.countByValue().foreachRDD(new VoidFunction<JavaPairRDD<String, Long>>() {
@Override
public void call(JavaPairRDD<String, Long> rdd) {
List<Tuple2<String, Long>> ret = rdd.collect();
for (Tuple2<String, Long> r : ret) {
if (result.containsKey(r._1())) {
result.put(r._1(), result.get(r._1()) + r._2());
} else {
result.put(r._1(), r._2());
}
}
}
}
);
ssc.start();
long startTime = System.currentTimeMillis();
boolean sizeMatches = false;
while (!sizeMatches && System.currentTimeMillis() - startTime < 20000) {
sizeMatches = sent.size() == result.size();
Thread.sleep(200);
}
Assert.assertEquals(sent.size(), result.size());
for (Map.Entry<String, Integer> e : sent.entrySet()) {
Assert.assertEquals(e.getValue().intValue(), result.get(e.getKey()).intValue());
}
}
}
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