聊聊storm的stream的分流与合并

最新推荐文章于 2025-03-29 10:17:49 发布

转载最新推荐文章于 2025-03-29 10:17:49 发布 · 362 阅读

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原文链接：https://segmentfault.com/a/1190000016824805

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#大数据

本文深入探讨了Apache Storm中stream的分流与合并技术，通过实例展示了如何使用SplitStreamBolt将输入流拆分为两个子流，分别由CountStreamBolt处理长单词和短单词计数，最终由ReportBolt汇总结果。文章详细解析了OutputFieldsDeclarer和OutputCollector在多流处理中的应用。

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序

本文主要研究一下storm的stream的分流与合并

实例

    @Test
    public void testStreamSplitJoin() throws InvalidTopologyException, AuthorizationException, AlreadyAliveException {
        TopologyBuilder builder = new TopologyBuilder();

        builder.setSpout("sentence-spout", new SentenceSpout());
        // SentenceSpout --> SplitStreamBolt
        builder.setBolt("split-bolt", new SplitStreamBolt())
                .shuffleGrouping("sentence-spout");
        // SplitStreamBolt split two stream --> WordCountBolt
        //NOTE 这里要指定上游的bolt以及要处理的streamId
        builder.setBolt("long-word-count-bolt", new CountStreamBolt(),5)
                .shuffleGrouping("split-bolt","longWordStream");
        builder.setBolt("short-word-count-bolt", new CountStreamBolt(),5)
                .shuffleGrouping("split-bolt","shortWordStream");
        // WordCountBolt join --> ReportBolt
        builder.setBolt("report-bolt", new ReportBolt())
                .shuffleGrouping("long-word-count-bolt")
                .shuffleGrouping("short-word-count-bolt");

        submitRemote(builder);
    }

这里在SplitStreamBolt里头将stream分为两个，之后有两个CountStreamBolt分别处理两个stream的数据，最后归到同一个stream由ReportBolt消费tuple

SplitStreamBolt

public class SplitStreamBolt extends BaseRichBolt {

    private static final Logger LOGGER = LoggerFactory.getLogger(SplitStreamBolt.class);

    private OutputCollector collector;

    public void prepare(Map config, TopologyContext context, OutputCollector collector) {
        this.collector = collector;
    }

    //NOTE 这里要自己ack
    public void execute(Tuple tuple) {
        String sentence = tuple.getStringByField("sentence");
        String[] words = sentence.split(" ");
        for(String word : words){
            // NOTE 这里指定发送给指定streamId
            if(word.length() > 4){
                this.collector.emit("longWordStream",new Values(word));
            }else{
                this.collector.emit("shortWordStream",new Values(word));
            }
        }
        this.collector.ack(tuple);
    }

    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("word"));
        //NOTE 这里通过declareStream声明direct stream，并指定streamId
        declarer.declareStream("longWordStream",true,new Fields("word"));
        declarer.declareStream("shortWordStream",true,new Fields("word"));
    }
}

这里额外声明了两个stream，一个是longWordStream，一个是shortWordStream
对于word长度大于4的发送到longWordStream，小于等于4的发送到longWordStream

CountStreamBolt

public class CountStreamBolt extends BaseBasicBolt{

    private static final Logger LOGGER = LoggerFactory.getLogger(CountStreamBolt.class);

    Map<String, Integer> longWordCounts = new HashMap<String, Integer>();
    Map<String, Integer> shortWordCounts = new HashMap<String, Integer>();

    @Override
    public void execute(Tuple input, BasicOutputCollector collector) {
        String sourceStreamId = input.getSourceStreamId();

        String word = input.getString(0);

        if(sourceStreamId.equals("longWordStream")){
            Integer count = longWordCounts.get(word);
            if (count == null) count = 0;
            count++;
            longWordCounts.put(word, count);
            LOGGER.info("long word:{} -> {}",word,count);
            collector.emit(new Values(word, count));
            return ;
        }

        if(sourceStreamId.equals("shortWordStream")){
            Integer count = shortWordCounts.get(word);
            if (count == null) count = 0;
            count++;
            shortWordCounts.put(word, count);
            LOGGER.info("short word:{} -> {}",word,count);
            collector.emit(new Values(word, count));
            return ;
        }
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("word", "count"));
    }
}

这里为了展示sourceStreamId的区别，所以两个stream共用了同一个bolt，但是topology那里是两个实例
实际也可以是两个不同的bolt类来处理两个stream的数据

小结

OutputFieldsDeclarer可以通过declareStream方法声明多个streamId
OutputCollector可以通过emit(String streamId, List<Object> tuple)方法来选择性将tuple发送到指定的streamId
OutputCollector也有emit方法参数没有streamId，其内部默认是使用Utils.DEFAULT_STREAM_ID(default)作为实际的streamId

doc

How to split one stream or join multiple stream