1、shuffleGrouping下,pv(单线程结果) * Executer并发数
一个Executer默认一个task,如果设置Task数大于1,公式应该是:
pv(单线程结果) * Task 数 ,
同一个Executer下task的线程ID相同,taskId不同
优点:简单、计算量小
缺点:稍有误差,但绝大多数场景能接受
优化:
案例PVBolt中每个Task都会输出一个汇总值,实际只需要一个Task输出汇总值,
利用Zookeeper锁来做到只一个Task输出汇总值,而且每5S输出一次
1、pom.xml增加zk
引用
pom.xml中增加ZK:
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.10</version>
</dependency>
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.10</version>
</dependency>
引用
<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/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.test</groupId>
<artifactId>StormMavenProject</artifactId>
<packaging>jar</packaging>
<version>0.0.1-SNAPSHOT</version>
<name>StormMavenProject</name>
<url>http://maven.apache.org</url>
<dependencies>
<dependency>
<groupId>org.ow2.asm</groupId>
<artifactId>asm</artifactId>
<version>5.0.3</version>
</dependency>
<dependency>
<groupId>org.clojure</groupId>
<artifactId>clojure</artifactId>
<version>1.7.0</version>
</dependency>
<dependency>
<groupId>com.lmax</groupId>
<artifactId>disruptor</artifactId>
<version>3.3.2</version>
</dependency>
<dependency>
<groupId>com.esotericsoftware</groupId>
<artifactId>kryo</artifactId>
<version>3.0.3</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api</artifactId>
<version>2.8</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.8</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>log4j-over-slf4j</artifactId>
<version>1.6.6</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-slf4j-impl</artifactId>
<version>2.8</version>
</dependency>
<dependency>
<groupId>com.esotericsoftware</groupId>
<artifactId>minlog</artifactId>
<version>1.3.0</version>
</dependency>
<dependency>
<groupId>org.objenesis</groupId>
<artifactId>objenesis</artifactId>
<version>2.1</version>
</dependency>
<dependency>
<groupId>com.esotericsoftware</groupId>
<artifactId>reflectasm</artifactId>
<version>1.10.1</version>
</dependency>
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>servlet-api</artifactId>
<version>2.5</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.21</version>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>1.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-rename-hack</artifactId>
<version>1.1.0</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>ring-cors</groupId>
<artifactId>ring-cors</artifactId>
<version>0.1.5</version>
</dependency>
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.10</version>
</dependency>
</dependencies>
<build>
<finalName>StormMavenProject</finalName>
</build>
</project>
2、创建队列数据源
public class SourceSpout implements IRichSpout{ /** * 数据源Spout */ private static final long serialVersionUID = 1L; Queue<String> queue = new ConcurrentLinkedQueue<String>(); SpoutOutputCollector collector = null; String str = null; public void nextTuple() { if (queue.size() >= 0) { collector.emit(new Values(queue.poll())); } try { Thread.sleep(500) ; } catch (InterruptedException e) { e.printStackTrace(); } } public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) { try { this.collector = collector; Random random = new Random(); String[] hosts = { "www.taobao.com" }; String[] session_id = { "ABYH6Y4V4SCVXTG6DPB4VH9U123", "XXYH6YCGFJYERTT834R52FDXV9U34", "BBYH61456FGHHJ7JL89RG5VV9UYU7", "CYYH6Y2345GHI899OFG4V9U567", "VVVYH6Y4V4SFXZ56JIPDPB4V678" }; String[] time = { "2014-01-07 08:40:50", "2014-01-07 08:40:51", "2014-01-07 08:40:52", "2014-01-07 08:40:53", "2014-01-07 09:40:49", "2014-01-07 10:40:49", "2014-01-07 11:40:49", "2014-01-07 12:40:49" }; for (int i = 0; i < 20; i++) { queue.add(hosts[0]+"\t"+session_id[random.nextInt(5)]+"\t"+time[random.nextInt(8)]); } } catch (Exception e) { e.printStackTrace(); } } public void close() { // TODO Auto-generated method stub } public void declareOutputFields(OutputFieldsDeclarer declarer) { // TODO Auto-generated method stub declarer.declare(new Fields("log")); } public Map<String, Object> getComponentConfiguration() { // TODO Auto-generated method stub return null; } public void ack(Object msgId) { // TODO Auto-generated method stub System.out.println("spout ack:"+msgId.toString()); } public void activate() { // TODO Auto-generated method stub } public void deactivate() { // TODO Auto-generated method stub } public void fail(Object msgId) { // TODO Auto-generated method stub System.out.println("spout fail:"+msgId.toString()); } }
3、编写bolt
public class PVBolt implements IRichBolt{ /** * zookeeper写入某个线程的id到zookeeper目录,bolt在输出pv时,通过对比线程id确定是否输出。 */ private static final long serialVersionUID = 1L; public static final String zk_path = "/lock/storm/pv"; public void cleanup() { try { zKeeper.close(); } catch (InterruptedException e) { e.printStackTrace(); } } String logString = null; String lockData = null; String session_id = null; ZooKeeper zKeeper = null; long Pv = 0; long beginTime = System.currentTimeMillis() ; long endTime = 0; public void execute(Tuple input) { try { endTime = System.currentTimeMillis() ; logString = input.getString(0); if (logString != null) { session_id = logString.split("\t")[1]; if (session_id != null) { Pv ++ ; } } //5秒钟输出一次 if (endTime - beginTime >= 5 * 1000) { System.err.println(lockData+" ======================== "); if (lockData.equals(new String(zKeeper.getData(zk_path, false, null)))) { System.err.println("pv ======================== "+ Pv * 4); } beginTime = System.currentTimeMillis() ; } } catch (Exception e) { e.printStackTrace(); } } public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) { try { //创建zookeeper对象,三个参数:zookeper节点,超时,监听 zKeeper = new ZooKeeper("192.168.1.201:2181,192.168.1.202:2181",3000,new Watcher(){ public void process(WatchedEvent event) { System.out.println("event:"+event.getType()); } }); //判断zookeeper是否连上,如果没连上,进入sleep状态 while (zKeeper.getState() != ZooKeeper.States.CONNECTED) { Thread.sleep(1000); } InetAddress address = InetAddress.getLocalHost(); lockData = address.getHostAddress() + ":" +context.getThisTaskId() ; System.err.println(lockData+"++++++++++++++++++++++++++++"); //将线程ID写入zookeeper临时目录。 if(zKeeper.exists(zk_path, false) == null) { zKeeper.create(zk_path, lockData.getBytes(), Ids.OPEN_ACL_UNSAFE, CreateMode.EPHEMERAL); } } catch (Exception e) { try { zKeeper.close(); } catch (InterruptedException e1) { e1.printStackTrace(); } } } public void declareOutputFields(OutputFieldsDeclarer declarer) { // TODO Auto-generated method stub } public Map<String, Object> getComponentConfiguration() { // TODO Auto-generated method stub return null; } }
4、编写topoloy类
public class PvTopo { public static void main(String[] args) { TopologyBuilder builder = new TopologyBuilder(); builder.setSpout("spout", new SourceSpout(), 1); builder.setBolt("bolt", new PVBolt(),4).shuffleGrouping("spout"); Map conf = new HashMap(); conf.put(Config.TOPOLOGY_WORKERS, 4); if (args.length > 0) { try { StormSubmitter.submitTopology(args[0], conf, builder.createTopology()); } catch (AlreadyAliveException e) { e.printStackTrace(); } catch (InvalidTopologyException e) { e.printStackTrace(); }catch (AuthorizationException e) { e.printStackTrace(); } }else { LocalCluster localCluster = new LocalCluster(); localCluster.submitTopology("mytopology", conf, builder.createTopology()); } } }
5、启动zookeeper、storm,master(superviser)主机上创建zookeeper临时路径
引用
进入zk目录
zkCli.sh -server localhost:2181
创建文件夹
create /lock "“
create /lock/storm “”
ls /lock
get /lock/storm/pv
6、运行PvTopo结果