kafka+storm java代码
2015-09-28 13:52
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一、flume和kafka整合请参照 http://blog.csdn.net/huguoping830623/article/details/48138319
二、示例
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package com.hgp.kafka.kafka;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Map.Entry;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import storm.kafka.BrokerHosts;
import storm.kafka.KafkaSpout;
import storm.kafka.SpoutConfig;
import storm.kafka.StringScheme;
import storm.kafka.ZkHosts;
import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.generated.AlreadyAliveException;
import backtype.storm.generated.InvalidTopologyException;
import backtype.storm.spout.SchemeAsMultiScheme;
import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.topology.base.BaseRichBolt;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;
public class MyKafkaTopology {
public static class KafkaWordSplitter extends BaseRichBolt {
private static final Log LOG = LogFactory.getLog(KafkaWordSplitter.class);
private static final long serialVersionUID = 886149197481637894L;
private OutputCollector collector;
public void prepare(Map stormConf, TopologyContext context,
OutputCollector collector) {
this.collector = collector;
}
public void execute(Tuple input) {
String line = input.getString(0);
LOG.info("RECV[kafka -> splitter] " + line);
String[] words = line.split("\\s+");
for(String word : words) {
LOG.info("EMIT[splitter -> counter] " + word);
collector.emit(input, new Values(word, 1));
}
collector.ack(input);
}
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word", "count"));
}
}
public static class WordCounter extends BaseRichBolt {
private static final Log LOG = LogFactory.getLog(WordCounter.class);
private static final long serialVersionUID = 886149197481637894L;
private OutputCollector collector;
private Map<String, AtomicInteger> counterMap;
public void prepare(Map stormConf, TopologyContext context,
OutputCollector collector) {
this.collector = collector;
this.counterMap = new HashMap<String, AtomicInteger>();
}
public void execute(Tuple input) {
String word = input.getString(0);
int count = input.getInteger(1);
LOG.info("RECV[splitter -> counter] " + word + " : " + count);
AtomicInteger ai = this.counterMap.get(word);
if(ai == null) {
ai = new AtomicInteger();
this.counterMap.put(word, ai);
}
ai.addAndGet(count);
collector.ack(input);
LOG.info("CHECK statistics map: " + this.counterMap);
}
public void cleanup() {
LOG.info("The final result:");
Iterator<Entry<String, AtomicInteger>> iter = this.counterMap.entrySet().iterator();
while(iter.hasNext()) {
Entry<String, AtomicInteger> entry = iter.next();
LOG.info(entry.getKey() + "\t:\t" + entry.getValue().get());
}
}
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word", "count"));
}
}
public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException, InterruptedException {
String zks = "localhost:2181";
String topic = "test";
String zkRoot = "/storm"; // default zookeeper root configuration for storm
String id = "word";
BrokerHosts brokerHosts = new ZkHosts(zks);
SpoutConfig spoutConf = new SpoutConfig(brokerHosts, topic, zkRoot, id);
spoutConf.scheme = new SchemeAsMultiScheme(new StringScheme());
spoutConf.forceFromStart = true;
spoutConf.zkServers = Arrays.asList(new String[] {"localhost"});
spoutConf.zkPort = 2181;
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("kafka-reader", new KafkaSpout(spoutConf), 5); // Kafka我们创建了一个5分区的Topic,这里并行度设置为5
builder.setBolt("word-splitter", new KafkaWordSplitter(), 2).shuffleGrouping("kafka-reader");
builder.setBolt("word-counter", new WordCounter()).fieldsGrouping("word-splitter", new Fields("word"));
Config conf = new Config();
String name = MyKafkaTopology.class.getSimpleName();
if (args != null && args.length > 0) {
// Nimbus host name passed from command line
conf.put(Config.NIMBUS_HOST, args[0]);
conf.setNumWorkers(3);
StormSubmitter.submitTopologyWithProgressBar(name, conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology(name, conf, builder.createTopology());
Thread.sleep(60000);
cluster.shutdown();
}
}
}
pom.xml代码
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<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>com.hgp.kafka</groupId>
<artifactId>kafka</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>kafka</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>0.9.2-incubating</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>0.8.2.1</version>
<exclusions>
<exclusion>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-kafka</artifactId>
<version>0.9.2-incubating</version>
</dependency>
</dependencies>
</project>
二、示例
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package com.hgp.kafka.kafka;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Map.Entry;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import storm.kafka.BrokerHosts;
import storm.kafka.KafkaSpout;
import storm.kafka.SpoutConfig;
import storm.kafka.StringScheme;
import storm.kafka.ZkHosts;
import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.generated.AlreadyAliveException;
import backtype.storm.generated.InvalidTopologyException;
import backtype.storm.spout.SchemeAsMultiScheme;
import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.topology.base.BaseRichBolt;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;
public class MyKafkaTopology {
public static class KafkaWordSplitter extends BaseRichBolt {
private static final Log LOG = LogFactory.getLog(KafkaWordSplitter.class);
private static final long serialVersionUID = 886149197481637894L;
private OutputCollector collector;
public void prepare(Map stormConf, TopologyContext context,
OutputCollector collector) {
this.collector = collector;
}
public void execute(Tuple input) {
String line = input.getString(0);
LOG.info("RECV[kafka -> splitter] " + line);
String[] words = line.split("\\s+");
for(String word : words) {
LOG.info("EMIT[splitter -> counter] " + word);
collector.emit(input, new Values(word, 1));
}
collector.ack(input);
}
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word", "count"));
}
}
public static class WordCounter extends BaseRichBolt {
private static final Log LOG = LogFactory.getLog(WordCounter.class);
private static final long serialVersionUID = 886149197481637894L;
private OutputCollector collector;
private Map<String, AtomicInteger> counterMap;
public void prepare(Map stormConf, TopologyContext context,
OutputCollector collector) {
this.collector = collector;
this.counterMap = new HashMap<String, AtomicInteger>();
}
public void execute(Tuple input) {
String word = input.getString(0);
int count = input.getInteger(1);
LOG.info("RECV[splitter -> counter] " + word + " : " + count);
AtomicInteger ai = this.counterMap.get(word);
if(ai == null) {
ai = new AtomicInteger();
this.counterMap.put(word, ai);
}
ai.addAndGet(count);
collector.ack(input);
LOG.info("CHECK statistics map: " + this.counterMap);
}
public void cleanup() {
LOG.info("The final result:");
Iterator<Entry<String, AtomicInteger>> iter = this.counterMap.entrySet().iterator();
while(iter.hasNext()) {
Entry<String, AtomicInteger> entry = iter.next();
LOG.info(entry.getKey() + "\t:\t" + entry.getValue().get());
}
}
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word", "count"));
}
}
public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException, InterruptedException {
String zks = "localhost:2181";
String topic = "test";
String zkRoot = "/storm"; // default zookeeper root configuration for storm
String id = "word";
BrokerHosts brokerHosts = new ZkHosts(zks);
SpoutConfig spoutConf = new SpoutConfig(brokerHosts, topic, zkRoot, id);
spoutConf.scheme = new SchemeAsMultiScheme(new StringScheme());
spoutConf.forceFromStart = true;
spoutConf.zkServers = Arrays.asList(new String[] {"localhost"});
spoutConf.zkPort = 2181;
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("kafka-reader", new KafkaSpout(spoutConf), 5); // Kafka我们创建了一个5分区的Topic,这里并行度设置为5
builder.setBolt("word-splitter", new KafkaWordSplitter(), 2).shuffleGrouping("kafka-reader");
builder.setBolt("word-counter", new WordCounter()).fieldsGrouping("word-splitter", new Fields("word"));
Config conf = new Config();
String name = MyKafkaTopology.class.getSimpleName();
if (args != null && args.length > 0) {
// Nimbus host name passed from command line
conf.put(Config.NIMBUS_HOST, args[0]);
conf.setNumWorkers(3);
StormSubmitter.submitTopologyWithProgressBar(name, conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology(name, conf, builder.createTopology());
Thread.sleep(60000);
cluster.shutdown();
}
}
}
pom.xml代码
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<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>com.hgp.kafka</groupId>
<artifactId>kafka</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>kafka</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>0.9.2-incubating</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>0.8.2.1</version>
<exclusions>
<exclusion>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-kafka</artifactId>
<version>0.9.2-incubating</version>
</dependency>
</dependencies>
</project>
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