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在上一次单词计数的基础上做如下改动：package com.zhch.v2;
import backtype.storm.spout.SpoutOutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.base.BaseRichSpout;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Values;
import java.io.BufferedReader;
import java.io.FileReader;
import java.util.Map;
import java.util.UUID;
import java.util.concurrent.ConcurrentHashMap;
public class SentenceSpout extends BaseRichSpout {
private FileReader fileReader = null;
private boolean completed = false;
private ConcurrentHashMap<UUID, Values> pending;
private SpoutOutputCollector collector;
@Override
public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {
outputFieldsDeclarer.declare(new Fields("sentence"));
}
@Override
public void open(Map map, TopologyContext topologyContext, SpoutOutputCollector spoutOutputCollector) {
this.collector = spoutOutputCollector;
this.pending = new ConcurrentHashMap<UUID, Values>();
try {
this.fileReader = new FileReader(map.get("wordsFile").toString());
} catch (Exception e) {
throw new RuntimeException("Error reading file [" + map.get("wordsFile") + "]");
}
}
@Override
public void nextTuple() {
if (completed) {
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
}
}
String line;
BufferedReader reader = new BufferedReader(fileReader);
try {
while ((line = reader.readLine()) != null) {
Values values = new Values(line);
UUID msgId = UUID.randomUUID();
this.pending.put(msgId, values);
this.collector.emit(values, msgId); //发射时带上msgId，实现可靠的消息处理
}
} catch (Exception e) {
throw new RuntimeException("Error reading tuple", e);
} finally {
completed = true;
}
}
@Override
public void ack(Object msgId) {
this.pending.remove(msgId); //确认时，从列表中删除该tuple
}
@Override
public void fail(Object msgId) {
this.collector.emit(this.pending.get(msgId), msgId); //失败或超时，重新发射
}
}
实现语句分割bolt
package com.zhch.v2;
import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.base.BaseRichBolt;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;
import java.util.Map;
public class SplitSentenceBolt extends BaseRichBolt {
private OutputCollector collector;
@Override
public void prepare(Map map, TopologyContext topologyContext, OutputCollector outputCollector) {
this.collector = outputCollector;
}
@Override
public void execute(Tuple tuple) {
String sentence = tuple.getStringByField("sentence");
String[] words = sentence.split(" ");
for (String word : words) {
this.collector.emit(tuple, new Values(word)); //将输出的tuple和输入的tuple锚定，实现可靠的消息处理
}
this.collector.ack(tuple);
}
@Override
public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {
outputFieldsDeclarer.declare(new Fields("word"));
}
}
实现单词计数bolt
package com.zhch.v2;
import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.base.BaseRichBolt;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import java.io.BufferedWriter;
import java.io.FileWriter;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
public class WordCountBolt extends BaseRichBolt {
private OutputCollector collector;
private HashMap<String, Long> counts = null;
@Override
public void prepare(Map map, TopologyContext topologyContext, OutputCollector outputCollector) {
this.collector = outputCollector;
this.counts = new HashMap<String, Long>();
}
@Override
public void execute(Tuple tuple) {
String word = tuple.getStringByField("word");
Long count = this.counts.get(word);
if (count == null) {
count = 0L;
}
count++;
this.counts.put(word, count);
BufferedWriter writer = null;
try {
writer = new BufferedWriter(new FileWriter("/home/grid/stormData/result.txt"));
Iterator<String> keys = this.counts.keySet().iterator();
while (keys.hasNext()) {
String w = keys.next();
Long c = this.counts.get(w);
writer.write(w + " : " + c);
writer.newLine();
writer.flush();
}
} catch (Exception e) {
e.printStackTrace();
} finally {
if (writer != null) {
try {
writer.close();
} catch (Exception e) {
e.printStackTrace();
}
writer = null;
}
}
this.collector.ack(tuple);
}
@Override
public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {
outputFieldsDeclarer.declare(new Fields("word", "count"));
}
}
实现单词计数topology
package com.zhch.v2;
import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.tuple.Fields;
public class WordCountTopology {
private static final String SENTENCE_SPOUT_ID = "sentence-spout";
private static final String SPLIT_BOLT_ID = "split-bolt";
private static final String COUNT_BOLT_ID = "conut-bolt";
private static final String TOPOLOGY_NAME = "word-count-topology-v2";
public static void main(String[] args) throws Exception {
SentenceSpout spout = new SentenceSpout();
SplitSentenceBolt spiltBolt = new SplitSentenceBolt();
WordCountBolt countBolt = new WordCountBolt();
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(SENTENCE_SPOUT_ID, spout, 2); //使用2个spout executor
builder.setBolt(SPLIT_BOLT_ID, spiltBolt, 2).setNumTasks(4) //使用2个spiltBolt executor，4个task
.shuffleGrouping(SENTENCE_SPOUT_ID);
builder.setBolt(COUNT_BOLT_ID, countBolt, 2) //使用2个countBolt executor
.fieldsGrouping(SPLIT_BOLT_ID, new Fields("word"));
Config config = new Config();
config.put("wordsFile", args[0]);
if (args != null && args.length > 1) {
config.setNumWorkers(2); //使用2个worker processes
//集群模式启动
StormSubmitter.submitTopology(args[1], config, builder.createTopology());
} else {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology(TOPOLOGY_NAME, config, builder.createTopology());
try {
Thread.sleep(5 * 1000);
} catch (InterruptedException e) {
}
cluster.killTopology(TOPOLOGY_NAME);
cluster.shutdown();
}
}
}
编写完程序后使用命令 mvn clean install 打包，然后提交到Storm集群
[grid@hadoop4 stormTarget]$ storm jar Storm02-1.0-SNAPSHOT.jar com.zhch.v2.WordCountTopology /home/grid/stormData/input.txt word-count-topology-v2
运行结果：
[grid@hadoop5 stormData]$ cat result.txt can : 1 second : 1 simple : 1 set : 1 data : 2 unbounded : 1 has : 1 Apache : 1 open : 1 over : 1 free : 1 easy : 2 fast: : 1 reliably : 1 any : 1 with : 1 million : 1 is : 6 learning : 1 analytics : 1 torm : 1 node : 1 processed : 2 what : 1 batch : 1 operate : 1 will : 1 language : 1 fault-tolerant : 1 [grid@hadoop6 stormData]$ cat result.txt to : 3 for : 2 distributed : 2 use : 2 used : 1 Storm : 4 It : 1 online : 1 cases: : 1 of : 2 programming : 1 more : 1 clocked : 1 scalable : 1 processing : 2 guarantees : 1 be : 2 ETL : 1 continuous : 1 it : 2 Hadoop : 1 makes : 1 your : 1 a : 4 at : 1 did : 1 fun : 1 machine : 1 up : 1 and : 5 process : 1 RPC : 1 many : 1 system : 1 source : 1 realtime : 3 benchmark : 1 per : 2 doing : 1 lot : 1 streams : 1 computation : 2 tuples : 1 [grid@hadoop6 stormData]$ cat result.txt to : 3 for : 2 distributed : 2 use : 2 used : 1 Storm : 4 It : 1 online : 1 cases: : 1 of : 2 programming : 1 more : 1 clocked : 1 scalable : 1 processing : 2 guarantees : 1 be : 2 ETL : 1 continuous : 1 it : 2 Hadoop : 1 makes : 1 your : 1 a : 4 at : 1 did : 1 fun : 1 machine : 1 up : 1 and : 5 process : 1 RPC : 1 many : 1 system : 1 source : 1 realtime : 3 benchmark : 1 per : 2 doing : 1 lot : 1 streams : 1 computation : 2 tuples : 1
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原文地址：http://my.oschina.net/zc741520/blog/410080
