storm集群配置以及java编写拓扑例子
storm集群配置
storm配置相当简单
安装
tar -zxvf apache-storm-1.2.2.tar.gz
rm apache-storm-1.2.2.tar.gz
mv apache-storm-1.2.2 storm
sudo vim /etc/profile
export STORM_HOME=/usr/local/storm
export PATH=$PATH:$STORM_HOME/bin
source /etc/profile
apt install python
准备 master worker1 worker2 worker3 这四台机器
首先确保你的zookeeper集群能够正常运行worker1 worker2 worker3为zk集群
具体配置参照我的博客https://www.cnblogs.com/ye-hcj/p/9889585.html
修改配置文件
storm.yaml
sudo vim storm.yaml
在四台机器中都加入如下配置
storm.zookeeper.servers:
- "worker1"
- "worker2"
- "worker3" storm.local.dir: "/usr/local/tmpdata/storm" supervisor.slots.ports:
- 6700
- 6701
- 6702
- 6703 nimbus.seeds: ["master"] storm.zookeeper.port: 2181 // 不加下面这几个你的拓扑直接跑不起来
nimbus.childopts: "-Xmx1024m" supervisor.childopts: "-Xmx1024m" worker.childopts: "-Xmx768m"
启动
在master中运行
storm nimbus >> /dev/null &
storm ui >/dev/null 2>&1 &
在worker1,worker2,worker3中运行
storm supervisor >/dev/null 2>&1 &
storm logviewer >/dev/null 2>&1 & 直接访问http://master:8080即可
使用java编写拓扑
四个文件如图

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>test</groupId>
<artifactId>test</artifactId>
<version>1.0.0</version>
<name>test</name>
<description>Test project for spring boot mybatis</description>
<packaging>jar</packaging> <properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.encoding>UTF-8</maven.compiler.encoding>
<java.version>1.8</java.version>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
</properties> <dependencies>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>1.2.2</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
</dependency>
</dependencies> <build>
<plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
App.java
package test;
import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.StormSubmitter;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.utils.Utils; public class App
{
public static void main( String[] args ) throws Exception { TopologyBuilder topologyBuilder = new TopologyBuilder();
topologyBuilder.setSpout("word",new WordSpout(),1);
topologyBuilder.setBolt("receive",new RecieveBolt(),1).shuffleGrouping("word");
topologyBuilder.setBolt("print",new ConsumeBolt(),1).shuffleGrouping("receive"); // 集群运行
Config config = new Config();
config.setNumWorkers(3);
config.setDebug(true);
StormSubmitter.submitTopology("teststorm", config, topologyBuilder.createTopology()); // 本地测试
// Config config = new Config();
// config.setNumWorkers(3);
// config.setDebug(true);
// config.setMaxTaskParallelism(20);
// LocalCluster cluster = new LocalCluster();
// cluster.submitTopology("wordCountTopology", config, topologyBuilder.createTopology());
// Utils.sleep(60000);
// 执行完毕,关闭cluster
// cluster.shutdown();
}
}
WordSpout.java
package test; import java.util.Map;
import java.util.Random; import org.apache.storm.spout.SpoutOutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichSpout;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Values;
import org.apache.storm.utils.Utils; public class WordSpout extends BaseRichSpout { private static final long serialVersionUID = 6102239192526611945L; private SpoutOutputCollector collector; Random random = new Random(); // 初始化tuple的collector
public void open(Map conf, TopologyContext topologyContext, SpoutOutputCollector collector) {
this.collector = collector;
} public void nextTuple() {
// 模拟产生消息队列
String[] words = {"iphone","xiaomi","mate","sony","sumsung","moto","meizu"}; final String word = words[random.nextInt(words.length)]; // 提交一个tuple给默认的输出流
this.collector.emit(new Values(word)); Utils.sleep(5000);
} // 声明发送消息的字段名
public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {
outputFieldsDeclarer.declare(new Fields("word"));
}
}
RecieveBolt.java
package test; import java.util.Map; import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;
import org.apache.storm.tuple.Values; public class RecieveBolt extends BaseRichBolt { private static final long serialVersionUID = -4758047349803579486L; private OutputCollector collector; public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
this.collector = collector;
} public void execute(Tuple tuple) {
// 将spout传递过来的tuple值进行转换
this.collector.emit(new Values(tuple.getStringByField("word") + "!!!"));
} // 声明发送消息的字段名
public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {
outputFieldsDeclarer.declare(new Fields("word"));
}
}
ConsumeBolt.java
package test; import java.io.FileWriter;
import java.io.IOException;
import java.util.Map;
import java.util.UUID; import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.tuple.Tuple; public class ConsumeBolt extends BaseRichBolt { private static final long serialVersionUID = -7114915627898482737L; private FileWriter fileWriter = null; private OutputCollector collector; public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) { this.collector = collector; try {
fileWriter = new FileWriter("/usr/local/tmpdata/" + UUID.randomUUID());
// fileWriter = new FileWriter("C:\\Users\\26401\\Desktop\\test\\" + UUID.randomUUID());
} catch (IOException e) {
throw new RuntimeException(e);
}
} public void execute(Tuple tuple) { try {
String word = tuple.getStringByField("word") + "......." + "\n";
fileWriter.write(word);
fileWriter.flush();
System.out.println(word);
} catch (IOException e) {
throw new RuntimeException(e);
}
} public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) { }
}
在集群中运行
storm jar test-1.0.0-jar-with-dependencies.jar test.App // 启动集群
storm kill teststorm // 结束集群
storm集群配置以及java编写拓扑例子的更多相关文章
- kafka集群配置和java编写生产者消费者操作例子
kafka 安装 修改配置文件 java操作kafka kafka kafka的操作相对来说简单很多 安装 下载kafka http://kafka.apache.org/downloads tar ...
- 流量监控系统---storm集群配置
1.集群部署的基本流程 集群部署的流程:下载安装包.解压安装包.修改配置文件.分发安装包.启动集群 注意: 所有的集群上都需要配置hosts vi /etc/hosts 192.168.223.20 ...
- storm集群搭建和java应用
1. vim /etc/hosts ssh免密登录192.168.132.154 c0192.168.132.156 c1192.168.132.155 c2 storm集群:192.168.132. ...
- storm 集群配置
配置storm集群的过程中出现写问题,记录下来 1.storm是通过zookeeper管理的,先要安装zookeeper,从zk官网上下来,我这里下下来的的3.4.9,下载后移动到/usr/local ...
- spark集群配置以及java操作spark小demo
spark 安装 配置 使用java来操作spark spark 安装 tar -zxvf spark-2.4.0-bin-hadoop2.7.tgz rm spark-2.4.0-bin-hadoo ...
- Zookeeper的集群配置和Java测试程序
Zookeeper是Apache下的项目之一,倾向于对大型应用的协同维护管理工作.IBM则给出了IBM对ZooKeeper的认知: Zookeeper 分布式服务框架是 Apache Hadoop 的 ...
- Zookeeper的集群配置和Java测试程序 (一)
概述 Zookeeper是Apache下的项目之一,倾向于对大型应用的协同维护管理工作.IBM则给出了IBM对ZooKeeper的认知: Zookeeper 分布式服务框架是 Apache Hadoo ...
- storm集群配置
环境:centos6.4软件:jzmq-master-----java与c++通讯的桥梁,有了它,就可以使用zeromp了storm-0.8.2zeromq-2.1.7-----号称史上最牛逼的消息队 ...
- java 学习笔记(五) Zookeeper的集群配置和Java测试程序
参考博客 http://blog.csdn.net/catoop/article/details/50848555 http://blog.csdn.net/randompeople/article/ ...
随机推荐
- How to Fix “ShellExecute failed (2): Is this command correct?” on Notepad++
Problem: When you click right-click->Edit with Notepad ++ and get the error “ShellExecute failed ...
- MVC 框架中的缓存
在程序中加入缓存的目的很多是为了提高程序的性能,提高数据的查找效率,在MVC框架中也引入了非常多的缓存,比如Controller的匹配查找,Controller,ControllerDescripto ...
- 【pat-1074】宇宙无敌加法器(高精度)
链接:https://www.patest.cn/contests/pat-b-practise/1074 地球人习惯使用十进制数,并且默认一个数字的每一位都是十进制的.而在PAT星人开挂的世界里,每 ...
- hdu1845
题解: 只要输出n/2即可 代码: #include<cstdio> #include<cmath> #include<cstring> #include<a ...
- linux下vim对于意外退出的文档的再次开启
转载的: 1.对于同一个文件如果上次已经打开,而未关闭的情况下,又打开该文件进行编辑时,会出现如下提醒: 这是由于已经打开但未闭关的文件,会在其目录下出现一个.swp的文件,由于是属于隐藏文件,可以用 ...
- LeetCode OJ:Remove Duplicates from Sorted Array II(移除数组中的重复元素II)
Follow up for "Remove Duplicates":What if duplicates are allowed at most twice? For exampl ...
- LeetCode OJ:Remove Duplicates from Sorted List (排好序的链表去重)
Given a sorted linked list, delete all duplicates such that each element appear only once. For examp ...
- springmvc 请求和响应的json和Object的转换
就是两个注解的使用@RequestBody和@ResponseBody注解的使用,然后springmvc解析进行转换然后注入 例子: @RequestMapping("/...") ...
- 关于socket绑定INADDR_ANY
其中INADDR_ANY就是指定地址为0.0.0.0的地址,这个地址事实上表示不确定地址,或“所有地址”.“任意地址”. 一般情况下,如果你要建立网络服务器,则你要通知服务器操作系统:请在某地址 xx ...
- eclipse mars4.5安装hibernate开发环境
在安装hibernate插件过程中遇到下面前三张图片所示的现象是没关系的,只要最后能看到第四张图的结果就说明安装成功,我一开始不知道走了好多弯路.我用的eclipse mars4.5,采用了在线安装的 ...