1.创建maven项目:
pom.xml:
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>storm.book</groupId> <artifactId>Getting-Started</artifactId> <version>0.0.1-SNAPSHOT</version> <build> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>2.3.2</version> <configuration> <source>1.6</source> <target>1.6</target> <compilerVersion>1.6</compilerVersion> </configuration> </plugin> </plugins> </build> <repositories> <!-- Repository where we can found the storm dependencies --> <repository> <id>clojars.org</id> <url>http://clojars.org/repo</url> </repository> </repositories> <dependencies> <!-- Storm Dependency --> <dependency> <groupId>storm</groupId> <artifactId>storm</artifactId> <version>0.7.1</version> </dependency> </dependencies> </project>
相关类:
WordReader:
package spouts; import java.io.BufferedReader; import java.io.FileNotFoundException; import java.io.FileReader; import java.util.Map; 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; public class WordReader extends BaseRichSpout { private SpoutOutputCollector collector; private FileReader fileReader; private boolean completed = false; public void ack(Object msgId) { System.out.println("OK:"+msgId); } public void close() {} public void fail(Object msgId) { System.out.println("FAIL:"+msgId); } /** * The only thing that the methods will do It is emit each * file line */ public void nextTuple() { /** * The nextuple it is called forever, so if we have been readed the file * we will wait and then return */ if(completed){ try { Thread.sleep(1000); } catch (InterruptedException e) { //Do nothing } return; } String str; //Open the reader BufferedReader reader = new BufferedReader(fileReader); try{ //Read all lines while((str = reader.readLine()) != null){ /** * By each line emmit a new value with the line as a their */ this.collector.emit(new Values(str),str); } }catch(Exception e){ throw new RuntimeException("Error reading tuple",e); }finally{ completed = true; } } /** * We will create the file and get the collector object */ public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) { try { this.fileReader = new FileReader(conf.get("wordsFile").toString()); } catch (FileNotFoundException e) { throw new RuntimeException("Error reading file ["+conf.get("wordFile")+"]"); } this.collector = collector; } /** * Declare the output field "word" */ public void declareOutputFields(OutputFieldsDeclarer declarer) { declarer.declare(new Fields("line")); } }
WordCounter:
package bolts; import java.util.HashMap; import java.util.Map; import backtype.storm.task.TopologyContext; import backtype.storm.topology.BasicOutputCollector; import backtype.storm.topology.OutputFieldsDeclarer; import backtype.storm.topology.base.BaseBasicBolt; import backtype.storm.tuple.Tuple; public class WordCounter extends BaseBasicBolt { Integer id; String name; Map<String, Integer> counters; /** * At the end of the spout (when the cluster is shutdown * We will show the word counters */ @Override public void cleanup() { System.out.println("-- Word Counter ["+name+"-"+id+"] --"); for(Map.Entry<String, Integer> entry : counters.entrySet()){ System.out.println(entry.getKey()+": "+entry.getValue()); } } /** * On create */ @Override public void prepare(Map stormConf, TopologyContext context) { this.counters = new HashMap<String, Integer>(); this.name = context.getThisComponentId(); this.id = context.getThisTaskId(); } @Override public void declareOutputFields(OutputFieldsDeclarer declarer) {} @Override public void execute(Tuple input, BasicOutputCollector collector) { String str = input.getString(0); /** * If the word dosn‘t exist in the map we will create * this, if not We will add 1 */ if(!counters.containsKey(str)){ counters.put(str, 1); }else{ Integer c = counters.get(str) + 1; counters.put(str, c); } } }
WordNormalizer:
package bolts; import backtype.storm.topology.BasicOutputCollector; import backtype.storm.topology.OutputFieldsDeclarer; import backtype.storm.topology.base.BaseBasicBolt; import backtype.storm.tuple.Fields; import backtype.storm.tuple.Tuple; import backtype.storm.tuple.Values; public class WordNormalizer extends BaseBasicBolt { public void cleanup() {} /** * The bolt will receive the line from the * words file and process it to Normalize this line * * The normalize will be put the words in lower case * and split the line to get all words in this */ public void execute(Tuple input, BasicOutputCollector collector) { String sentence = input.getString(0); String[] words = sentence.split(" "); for(String word : words){ word = word.trim(); if(!word.isEmpty()){ word = word.toLowerCase(); collector.emit(new Values(word)); } } } /** * The bolt will only emit the field "word" */ public void declareOutputFields(OutputFieldsDeclarer declarer) { declarer.declare(new Fields("word")); } }
TopologyMain:
import spouts.WordReader; import backtype.storm.Config; import backtype.storm.LocalCluster; import backtype.storm.topology.TopologyBuilder; import backtype.storm.tuple.Fields; import bolts.WordCounter; import bolts.WordNormalizer; public class TopologyMain { public static void main(String[] args) throws InterruptedException { //Topology definition TopologyBuilder builder = new TopologyBuilder(); builder.setSpout("word-reader",new WordReader()); builder.setBolt("word-normalizer", new WordNormalizer()) .shuffleGrouping("word-reader"); builder.setBolt("word-counter", new WordCounter(),1) .fieldsGrouping("word-normalizer", new Fields("word")); //Configuration Config conf = new Config(); conf.put("wordsFile", args[0]); conf.setDebug(false); //Topology run conf.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1); LocalCluster cluster = new LocalCluster(); cluster.submitTopology("Getting-Started-Toplogie", conf, builder.createTopology()); Thread.sleep(1000); cluster.shutdown(); } }
工程架构
运行:
结果
强大的流处理!
github:https://github.com/super-d2/strom_demo
时间: 2024-10-19 23:52:48