一个spark receiver 或多个spark receiver 接收 多个flume agent

1. 利用一个spark receiver 接收多个flume agent

String host = args[0];  int port = Integer.parseInt(args[1]);  String host1 = args[2];  int port1 = Integer.parseInt(args[3]);  InetSocketAddress address1 = new InetSocketAddress(host,port);  InetSocketAddress address2 = new InetSocketAddress(host1,port1);  InetSocketAddress[] InetSocketAddressArray = {address1,address2};JavaStreamingContext jssc = new JavaStreamingContext(new SparkConf().setAppName("JavaFlumeEventHandle_1"), Durations.seconds(2)); JavaReceiverInputDStream<SparkFlumeEvent> flumeStream = FlumeUtils.createPollingStream(jssc, InetSocketAddressArray, StorageLevel.MEMORY_AND_DISK_SER_2());

1. 2个spark receiver接收多个flume agent

        String host = args[0];        int port = Integer.parseInt(args[1]);        String host1 = args[2];        int port1 = Integer.parseInt(args[3]);        InetSocketAddress address1 = new InetSocketAddress(host,port);        InetSocketAddress address2 = new InetSocketAddress(host1,port1);        InetSocketAddress[] InetSocketAddressArray = {address1,address2};      JavaStreamingContext jssc = new JavaStreamingContext(new SparkConf().setAppName("JavaFlumeEventHandle_1"), Durations.seconds(2));//       JavaReceiverInputDStream<SparkFlumeEvent> flumeStream = FlumeUtils.createPollingStream(jssc, InetSocketAddressArray, StorageLevel.MEMORY_AND_DISK_SER_2());        JavaReceiverInputDStream<SparkFlumeEvent> flumeStream = FlumeUtils.createPollingStream(jssc,host,port);        JavaReceiverInputDStream<SparkFlumeEvent> flumeStream1 = FlumeUtils.createPollingStream(jssc, host1, port1);        JavaDStream<SparkFlumeEvent> union = flumeStream.union(flumeStream1);

性能参照：
http://blog.sina.com.cn/s/blog_13122bdbc0102vay7.html