拼接机（开源）有一个演示显示Spark流运行。
http://community.splicemachine.com/category/tutorials/data-ingestion-streaming/
下面是这个用例的示例代码。
https://github.com/splicemachine/splice-community-sample-code/tree/master/tutorial-kafka-spark-streaming

您可以使用queuestream:streamingcontext从RDD队列创建数据流

JavaSparkContext sc = new JavaSparkContext(conf);
org.apache.hadoop.conf.Configuration hconf = HBaseConfiguration.create();
JavaHBaseContext jhbc = new JavaHBaseContext(sc, hconf);
Scan scan1 = new Scan();           
scan1.setAttribute(Scan.SCAN_ATTRIBUTES_TABLE_NAME, tableName.getBytes());

// Create RDD
         rdd = jhbc.hbaseRDD(tableName, scan1, new Function<Tuple2<ImmutableBytesWritable, Result>, Tuple2<ImmutableBytesWritable, Result>>() {
            @Override
            public Tuple2<ImmutableBytesWritable, Result> call(Tuple2<ImmutableBytesWritable, Result> immutableBytesWritableResultTuple2) throws Exception {
                return immutableBytesWritableResultTuple2;
            }
        });

   // Create streaming context and queue
   JavaSparkStreamingContext ssc = new JavaSparkStramingContext(sc);

   Queue<JavaRDD<Tuple2<ImmutableBytesWritable, Result> >> queue =new Queue<JavaRDD<Tuple2<ImmutableBytesWritable, Result>>>( );
        queue.enqueue(rdd);

JavaDStream<Tuple2<ImmutableBytesWritable, Result>> ssc.queueStream(queue);

ps：你可以用spark（不用流媒体）