in src/main/java/com/aliyun/emr/example/spark/streaming/SparkRocketMQJavaDemo.java [42:95]
public static void main(String[] args) throws InterruptedException {
if (args.length < 5) {
System.err.println("Usage: spark-submit --class com.aliyun.emr.example.spark.streaming.SparkRocketMQJavaDemo " +
"examples-1.0-SNAPSHOT-shaded.jar <accessKeyId> <accessKeySecret> " +
"<consumerId> <topic> <subExpression>");
System.exit(1);
}
String accessKeyId = args[0];
String accessKeySecret = args[1];
String consumerId = args[2];
String topic = args[3];
String subExpression = args[4];
SparkConf sparkConf = new SparkConf().setAppName("E-MapReduce Demo 4-2: Spark RocketMQ Demo (Java)");
// Create the context with 2 seconds batch size
JavaStreamingContext jssc = new JavaStreamingContext(sparkConf, new Duration(2000));
JavaReceiverInputDStream<byte[]> lines = OnsUtils.createStream(jssc, consumerId, topic, subExpression,
accessKeyId, accessKeySecret, StorageLevel.MEMORY_AND_DISK(), new Function<Message, byte[]>() {
@Override
public byte[] call(Message msg) throws Exception {
return msg.getBody();
}
});
JavaDStream<String> words = lines.map(new Function<byte[], String>() {
@Override
public String call(byte[] v1) throws Exception {
return new String(v1);
}
}).flatMap(new FlatMapFunction<String, String>() {
@Override
public Iterator<String> call(String x) {
return Lists.newArrayList(SPACE.split(x)).iterator();
}
});
JavaPairDStream<String, Integer> wordCounts = words.mapToPair(
new PairFunction<String, String, Integer>() {
@Override
public Tuple2<String, Integer> call(String s) {
return new Tuple2<String, Integer>(s, 1);
}
}).reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer i1, Integer i2) {
return i1 + i2;
}
});
wordCounts.print();
jssc.start();
jssc.awaitTermination();
}