实施步骤
如何基于eclipse+maven调试storm程序,步骤如下:
1.搭建好开发环境(eclipse+maven,本人使用的是eclipse Kepler 与maven3.1.1)
2.创建maven项目,并修改pom.xml,内容如pom.xml(机器联网,下载所需的依赖jar)
Github上的pom.xml,引入的依赖太多,有些不需要,详细可以参考:
https://github.com/nathanmarz/storm-starter/blob/master/m2-pom.xml
3. 编写storm程序,指定为本地模式运行。本文提供的程序是wordcount
重要的是LocalCluster cluster = new LocalCluster();这一句
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Config conf = new Config();
conf.setDebug(true);
conf.setNumWorkers(2);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("test", conf, builder.createTopology());
Utils.sleep(10000);
cluster.killTopology("test");
cluster.shutdown();
pom.xml文件
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storm程序
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package storm.starter;
import java.util.HashMap;
import java.util.Map;
import storm.starter.spout.RandomSentenceSpout;
import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.topology.BasicOutputCollector;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.topology.base.BaseBasicBolt;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;
/**
* This topology demonstrates Storm's stream groupings and multilang
* capabilities.
*/
public class WordCountTopology {
public static class SplitSentence extends BaseBasicBolt {
@Override
public void execute(Tuple input, BasicOutputCollector collector) {
try {
String msg = input.getString(0);
System.out.println(msg + "-------------------");
if (msg != null) {
String[] s = msg.split(" ");
for (String string : s) {
collector.emit(new Values(string));
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word"));
}
}
public static class WordCount extends BaseBasicBolt {
Map
@Override
public void execute(Tuple tuple, BasicOutputCollector collector) {
String word = tuple.getString(0);
Integer count = counts.get(word);
if (count == null)
count = 0;
count++;
counts.put(word, count);
collector.emit(new Values(word, count));
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word", "count"));
}
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("spout", new RandomSentenceSpout(), 5);
builder.setBolt("split", new SplitSentence(), 8).shuffleGrouping(
"spout");
builder.setBolt("count", new WordCount(), 12).fieldsGrouping("split",
new Fields("word"));
Config conf = new Config();
conf.setDebug(true);
if (args != null && args.length > 0) {
conf.setNumWorkers(3);
StormSubmitter.submitTopology(args[0], conf,
builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
Thread.sleep(10000);
cluster.shutdown();
}
}
}
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package storm.starter.spout;
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 backtype.storm.utils.Utils;
import java.util.Map;
import java.util.Random;
public class RandomSentenceSpout extends BaseRichSpout {
SpoutOutputCollector _collector;
Random _rand;
@Override
public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
_collector = collector;
_rand = new Random();
}
@Override
public void nextTuple() {
Utils.sleep(100);
String[] sentences = new String[]{ "the cow jumped over the moon", "an apple a day keeps the doctor away",
"four score and seven years ago", "snow white and the seven dwarfs", "i am at two with nature" };
String sentence = sentences[_rand.nextInt(sentences.length)];
_collector.emit(new Values(sentence));
}
@Override
public void ack(Object id) {
}
@Override
public void fail(Object id) {
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word"));
}
}