storm的可靠性
Posted 百里登风
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消息确认机制:
在数据发送的过程中可能会数据丢失导致没能接收到,spout有个超时时间(默认是30S),如果30S过去了还是没有接收到数据,也认为是处理失败。
运行结果都是处理成功
参考代码StormTopologyAcker.java
package yehua.storm; import java.util.Map; import org.apache.storm.Config; import org.apache.storm.LocalCluster; import org.apache.storm.StormSubmitter; import org.apache.storm.generated.AlreadyAliveException; import org.apache.storm.generated.AuthorizationException; import org.apache.storm.generated.InvalidTopologyException; import org.apache.storm.spout.SpoutOutputCollector; import org.apache.storm.task.OutputCollector; import org.apache.storm.task.TopologyContext; import org.apache.storm.topology.OutputFieldsDeclarer; import org.apache.storm.topology.TopologyBuilder; import org.apache.storm.topology.base.BaseRichBolt; import org.apache.storm.topology.base.BaseRichSpout; import org.apache.storm.tuple.Fields; import org.apache.storm.tuple.Tuple; import org.apache.storm.tuple.Values; import org.apache.storm.utils.Utils; public class StormTopologyAcker { public static class MySpout extends BaseRichSpout{ private Map conf; private TopologyContext context; private SpoutOutputCollector collector; @Override public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) { this.conf = conf; this.collector = collector; this.context = context; } int num = 0; @Override public void nextTuple() { num++; System.out.println("spout:"+num); int messageid = num; //开启消息确认机制,就是在发送数据的时候发送一个messageid,一般情况下,messageid可以理解为mysql数据里面的主键id字段 //要保证messageid和tuple之间有一个唯一的对应关系,这个关系需要程序员自己维护 this.collector.emit(new Values(num),messageid); Utils.sleep(1000); } @Override public void declareOutputFields(OutputFieldsDeclarer declarer) { declarer.declare(new Fields("num")); } @Override public void ack(Object msgId) { System.out.println("处理成功!"+msgId); } @Override public void fail(Object msgId) { System.out.println("处理失败!"+msgId); //TODO 可以吧这个数据单独记录下来 } } public static class MyBolt extends BaseRichBolt{ private Map stormConf; private TopologyContext context; private OutputCollector collector; @Override public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) { this.stormConf = stormConf; this.context = context; this.collector = collector; } int sum = 0; @Override public void execute(Tuple input) { try{ Integer num = input.getIntegerByField("num"); sum += num; System.out.println("sum="+sum); this.collector.ack(input); }catch(Exception e){ this.collector.fail(input); } } @Override public void declareOutputFields(OutputFieldsDeclarer declarer) { } } public static void main(String[] args) { TopologyBuilder topologyBuilder = new TopologyBuilder(); String spout_id = MySpout.class.getSimpleName(); String bolt_id = MyBolt.class.getSimpleName(); topologyBuilder.setSpout(spout_id, new MySpout()); topologyBuilder.setBolt(bolt_id, new MyBolt()).shuffleGrouping(spout_id); Config config = new Config(); config.setMaxSpoutPending(1000);//如果设置了这个参数,必须要保证开启了acker机制才有效 String topology_name = StormTopologyAcker.class.getSimpleName(); if(args.length==0){ //在本地运行 LocalCluster localCluster = new LocalCluster(); localCluster.submitTopology(topology_name, config, topologyBuilder.createTopology()); }else{ //在集群运行 try { StormSubmitter.submitTopology(topology_name, config, topologyBuilder.createTopology()); } catch (AlreadyAliveException e) { e.printStackTrace(); } catch (InvalidTopologyException e) { e.printStackTrace(); } catch (AuthorizationException e) { e.printStackTrace(); } } } }
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