开始JStorm学习之前需要搭建集群环境,这里演示搭建单机JStorm环境,仅供学习使用,生产环境部署大同小异,但建议参考JStorm社区及相关说明文档。
一、前提 JStorm核心代码均用Java实现,所以依赖Java Runtime,另外,JStorm有脚本采用Python实现,所以还需要Python的支持。 1、JAVA环境 2、Python环境 这里选择Java版本1.6.0_35及Python版本2.6.5,如果默认没有安装可以参考相关文档(和)。 二、版本选择 zeromq-3.2.4 zookeeper-3.4.5 jstorm-0.7.1 三、JStorm环境搭建 与Storm一样,JStorm的底层消息通信机制依赖zeromq/jzmq,另外,JStorm通过zookeeper实现数据共享和协调服务。 1、安装zeromq wget http://download.zeromq.org/zeromq-3.2.4.tar.gz tar zxf zeromq-3.2.4.tar.gz cd zeromq-3.2.4 ./configure make sudo make install sudo ldconfig 2、安装jzmq wget https://github.com/zeromq/jzmq/tarball/master -O jzmq.tar.gz tar zxf jzmq.tar.gz cd jzmq ./autogen.sh ./configure make make install 3、安装zookeeper wget http://apache.dataguru.cn/zookeeper/zookeeper-3.4.5/zookeeper-3.4.5.tar.gz tar zxf zookeeper-3.4.5.tar.gz cd zookeeper-3.4.5 ./bin/zkServer.sh start ./bin/zkServer.sh stop 4、安装jstorm wget http://42.121.19.155/jstorm/jstorm-0.7.1.zip unzip jstorm-0.7.1.zip 编辑配置文件conf/storm.yaml storm.zookeeper.servers: - “localhost” nimbus.host: “localhost” storm.zookeeper.root: “/jstorm” storm.local.dir: “/tmp/jstorm” drpc.servers: - “localhost” 如果是开发环境本地内存不足情况时启动nimbus可能会抛出异常: Error occurred during initialization of VM Could not reserve enough space for object heap 只需要在conf/storm.yaml里配置: nimbus.childopts: “-Xmx256m” supervisor.childopts: “-Xmx256m” worker.childopts: “-Xmx128m” 其中大小可根据实际情况配置 5、UI 前提:tomcat 7.0 或以上版本; 将jstorm-ui-0.7.1.war复制到tomcat的webapps目录下; 6、启动JStorm 启动zookeeper:进入zookeeper目录,执行bin/zkServer.sh start 启动Nimbus:进入JStorm目录,执行bin/jstorm nimbus 启动Supervisor:进入JStorm目录,执行bin/jstorm supervisor 启动Tomcat:进入Tomcat目录,执行bin/startup.sh 四、JStorm HelloWorld 1、编写源码 这个例子取自: HelloWorldTopology.java 1234567891011121314151617181920212223242526272829303132333435363738394041424344 | package storm.cookbook;import backtype.storm.Config; import backtype.storm.StormSubmitter; import backtype.storm.generated.AlreadyAliveException; import backtype.storm.generated.InvalidTopologyException; import backtype.storm.topology.TopologyBuilder; import backtype.storm.utils.Utils; /** * Author: ashrith * Date: 8/26/13 * Time: 12:03 PM * Desc: setup the topology and submit it to either a local of remote Storm cluster depending on the arguments * passed to the main method. */ public class HelloWorldTopology { /* * main class in which to define the topology and a LocalCluster object (enables you to test and debug the * topology locally). In conjunction with the Config object, LocalCluster allows you to try out different * cluster configurations. * * Create a topology using 'TopologyBuilder' (which will tell storm how the nodes area arranged and how they * exchange data) * The spout and the bolts are connected using 'ShuffleGroupings' * * Create a 'Config' object containing the topology configuration, which is merged with the cluster configuration * at runtime and sent to all nodes with the prepare method * * Create and run the topology using 'createTopology' and 'submitTopology' */ public static void main([] args) throws AlreadyAliveException, InvalidTopologyException { TopologyBuilder builder = new TopologyBuilder(); builder.setSpout("randomHelloWorld", new HelloWorldSpout(), 10); builder.setBolt("HelloWorldBolt", new HelloWorldBolt(), 1).shuffleGrouping("randomHelloWorld"); Config conf = new Config(); conf.put(Config.NIMBUS_HOST, "localhost"); conf.put(Config.NIMBUS_THRIFT_PORT, 6627); conf.setDebug(true); if(args!=null && args.length > 0) { conf.setNumWorkers(3); StormSubmitter.submitTopology(args[0], conf, builder.createTopology()); } else { } } } |
HelloWorldSpout.java
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960 | package storm.cookbook;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 java.util.Map; import java.util.Random; /** * Author: ashrith * Date: 8/21/13 * Time: 8:33 PM * Desc: spout essentially emits a stream containing 1 of 2 sentences 'Other Random Word' or 'Hello World' based on * random probability. It works by generating a random number upon construction and then generating subsequent * random numbers to test against the original member variable's value. When it matches "Hello World" is emitted, * during the remaining executions the other sentence is emitted. */ public class HelloWorldSpout extends BaseRichSpout{ private SpoutOutputCollector collector; private int referenceRandom; private static final int MAX_RANDOM = 10; public HelloWorldSpout() { final rand = new (); referenceRandom = rand.nextInt(MAX_RANDOM); } /* * declareOutputFields() => you need to tell the Storm cluster which fields this Spout emits within the * declareOutputFields method. */ @Override public void declareOutputFields(OutputFieldsDeclarer declarer) { declarer.declare(new Fields("sentence")); } /* * open() => The first method called in any spout is 'open' * TopologyContext => contains all our topology data * SpoutOutputCollector => enables us to emit the data that will be processed by the bolts * conf => created in the topology definition */ @Override public void open( conf, TopologyContext topologyContext, SpoutOutputCollector collector) { this.collector = collector; } /* * nextTuple() => Storm cluster will repeatedly call the nextTuple method which will do all the work of the spout. * nextTuple() must release the control of the thread when there is no work to do so that the other methods have * a chance to be called. */ @Override public void nextTuple() { final rand = new (); int instanceRandom = rand.nextInt(MAX_RANDOM); if(instanceRandom == referenceRandom){ collector.emit(new Values("Hello World")); } else { collector.emit(new Values("Other Random Word")); } } } |
HelloWorldBolt.java
12345678910111213141516171819202122232425262728293031323334353637383940 | package storm.cookbook;import backtype.storm.task.OutputCollector; import backtype.storm.task.TopologyContext; import backtype.storm.topology.OutputFieldsDeclarer; import backtype.storm.topology.base.BaseRichBolt; import backtype.storm.tuple.Tuple; import java.util.Map; /** * Author: ashrith * Date: 8/26/13 * Time: 11:48 AM * Desc: This bolt will consume the produced Tuples from HelloWorldSpout and implement the required counting logic */ public class HelloWorldBolt extends BaseRichBolt { private int myCount = 0; /* * prepare() => on create */ @Override public void prepare( map, TopologyContext topologyContext, OutputCollector outputCollector) { } /* * execute() => most important method in the bolt is execute(Tuple input), which is called once per tuple received * the bolt may emit several tuples for each tuple received */ @Override public void execute(Tuple tuple) { test = tuple.getStringByField("sentence"); if(test == "Hello World"){ myCount++; .out.println("Found a Hello World! My Count is now: " + .toString(myCount)); } } /* * declareOutputFields => This bolt emits nothing hence no body for declareOutputFields() */ @Override public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) { } } |
2、提交Topology
上述源码编译打包Helloworld.jar后提交到jstorm集群: bin/jstorm jar Helloworld.jar storm.cookbook.HelloWorldTopology HelloWorld 其中参数[HelloWorld]为TopologyName 3.查看Topology运行状况 通过ui等途径可以查看Topology的执行情况。 五、结语 本节简单介绍了JStorm单机环境的搭建,用供初学者搭建单机JStorm,并能够编写HelloWolrd,生产环境集群搭建仅做参考,详细配置建议查询相关文档。 六、参考文档 [1] [2]http://hexiaoqiao.sinaapp.com/2014/06/09/jstorm%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA/