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_00022 Flume-1.5.0+Kafka_2.9.2-0.8.1.1+Storm-0.9.2 分布式环境整合

时间:2014-07-14 18:32:25      阅读:881      评论:0      收藏:0      [点我收藏+]
博文作者:妳那伊抹微笑
博客地址:http://blog.csdn.net/u012185296
博文标题:_00022 Flume-1.5.0+Kafka_2.9.2-0.8.1.1+Storm-0.9.2 分布式环境整合
个性签名:世界上最遥远的距离不是天涯,也不是海角,而是我站在妳的面前,妳却感觉不到我的存在
技术方向:Flume+Kafka+Storm+Redis/Hbase+Hadoop+Hive+Mahout+Spark ... 云计算技术
转载声明:可以转载, 但必须以超链接形式标明文章原始出处和作者信息及版权声明,谢谢合作!
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# Flume-1.5.0+Kafka_2.9.2-0.8.1.1+Storm-0.9.2 分布式环境整合

# 学习前言 
框架整合中用到的所有工程代码,jar包什么的都已经上传到群214293307共享中,需要的话自己下载研究了。

本博文整合Flume+Kafka+Storm中的Eclipse工程代码下载地址http://download.csdn.net/detail/u012185296/7633405

# Flume的学习请参考_00016 Flume的体系结构介绍以及Flume入门案例(往HDFS上传数据)这篇博文

# Kafka的学习请参考_00017 Kafka的体系结构介绍以及Kafka入门案例(初级案例+Java API的使用)这篇博文

# Storm的学习请参考_00019 Storm的体系结构介绍以及Storm入门案例(官网上的简单Java案例)这篇博文

请学习了以上直来再来进行环境整合,你懂的,不解释 ...(纳尼?路都不会走你就想跑了,饿特么就是一巴掌 、、、)

# 整合场景

使用Flume监控指定目录,出现新的日志文件后将文件数据传到Kafka,最后由StormKafka中取出数据并显示、、、

# Flume+Kafka的整合

# Flume的fks001.conf的配置文件

监控指定目录/usr/local/yting/flume/tdata/tdir1,然后使用自定义的Sink(com.yting.cloud.flume.sink.KafkaSink),将数据传入Kafka

 

root@rs229 fks]# pwd

/usr/local/adsit/yting/apache/flume/apache-flume-1.5.0-bin/conf/ytconf/fks

[root@rs229 fks]# vi fks001.conf

# fks : yting yousmile flume kafka storm integration

fks.sources=source1

fks.sinks=sink1

fks.channels=channel1

 

# configure source1

fks.sources.source1.type=spooldir

fks.sources.source1.spoolDir=/usr/local/yting/flume/tdata/tdir1

fks.sources.source1.fileHeader = false

 

# configure sink1

fks.sinks.sink1.type=com.yting.cloud.flume.sink.KafkaSink    #(自定义SinkFlume监控数据传入Kafka

 

# configure channel1

fks.channels.channel1.type=file

fks.channels.channel1.checkpointDir=/usr/local/yting/flume/checkpointdir/tcpdir/example_fks_001

fks.channels.channel1.dataDirs=/usr/local/yting/flume/datadirs/tddirs/example_fks_001

 

# bind source and sink

fks.sources.source1.channels=channel1

fks.sinks.sink1.channel=channel1

# Kafka 的server.properties配置文件

[root@rs229 ytconf]# pwd

/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/config/ytconf

[root@rs229 ytconf]# vi server.properties

 

# A comma seperated list of directories under whichto store log files

# log.dirs=/tmp/kafka-logs

log.dirs=/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/kafka-logs

# root directory for all kafka znodes.

zookeeper.connect=rs229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181/kafka

# jar包的复制,Kafka中的jar包复制到Flume中去,因为自定义的Sink(com.yting.cloud.flume.sink.KafkaSink)会用到,如果不做这一步,会抱异常的!

[root@rs229 lib]# pwd

/usr/local/adsit/yting/apache/flume/apache-flume-1.5.0-bin/lib

[root@rs229 lib]# cp/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/libs/* .

# 使用Eclipse将自定义的Sink(com.yting.cloud.flume.sink.KafkaSink)打成jar包放入$FLUME_HOME/libs目录下去

纳尼?这里不会,那你还是跟饿学养猪吧 、、、

# Kafka的启动

[root@rs229 kafka_2.9.2-0.8.1.1]# pwd

/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1

[root@rs229 kafka_2.9.2-0.8.1.1]# bin/kafka-server-start.sh config/ytconf/server.properties&

[1] 24672

[root@rs229 kafka_2.9.2-0.8.1.1]# [2014-07-1411:48:24,533] INFO Verifying properties (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,572] INFO Property broker.id isoverridden to 0 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,572] INFO Propertylog.cleaner.enable is overridden to false (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,572] INFO Property log.dirs isoverridden to/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/kafka-logs(kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,572] INFO Propertylog.retention.check.interval.ms is overridden to 60000(kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,572] INFO Propertylog.retention.hours is overridden to 168 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,573] INFO Propertylog.segment.bytes is overridden to 536870912 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,573] INFO Propertynum.io.threads is overridden to 8 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,573] INFO Propertynum.network.threads is overridden to 2 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,573] INFO Property num.partitionsis overridden to 2 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,573] INFO Property port isoverridden to 9092 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,573] INFO Propertysocket.receive.buffer.bytes is overridden to 1048576(kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,574] INFO Propertysocket.request.max.bytes is overridden to 104857600(kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,574] INFO Propertysocket.send.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,574] INFO Propertyzookeeper.connect is overridden tors229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181/kafka(kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,574] INFO Property zookeeper.connection.timeout.msis overridden to 1000000 (kafka.utils.VerifiableProperties)

[2014-07-14 11:48:24,590] INFO [Kafka Server 0],starting (kafka.server.KafkaServer)

[2014-07-14 11:48:24,592] INFO [Kafka Server 0],Connecting to zookeeper on rs229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181/kafka(kafka.server.KafkaServer)

[2014-07-14 11:48:24,603] INFO Starting ZkClientevent thread. (org.I0Itec.zkclient.ZkEventThread)

[2014-07-14 11:48:24,610] INFO Clientenvironment:zookeeper.version=3.3.3-1203054, built on 11/17/2011 05:47 GMT(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:host.name=rs229 (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.version=1.7.0_60 (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.vendor=Oracle Corporation (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.home=/usr/local/adsit/yting/jdk/jdk1.7.0_60/jre(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.class.path=:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../core/build/dependant-libs-2.8.0/*.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../perf/build/libs//kafka-perf_2.8.0*.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../clients/build/libs//kafka-clients*.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../examples/build/libs//kafka-examples*.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../contrib/hadoop-consumer/build/libs//kafka-hadoop-consumer*.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../contrib/hadoop-producer/build/libs//kafka-hadoop-producer*.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/jopt-simple-3.2.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/kafka_2.9.2-0.8.1.1.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/kafka_2.9.2-0.8.1.1-javadoc.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/kafka_2.9.2-0.8.1.1-scaladoc.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/kafka_2.9.2-0.8.1.1-sources.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/log4j-1.2.15.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/metrics-core-2.2.0.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/scala-library-2.9.2.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/slf4j-api-1.7.2.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/snappy-java-1.0.5.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/zkclient-0.3.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../libs/zookeeper-3.3.4.jar:/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/bin/../core/build/libs/kafka_2.8.0*.jar(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.io.tmpdir=/tmp (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:java.compiler=<NA> (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:os.name=Linux (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:os.arch=amd64 (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:os.version=2.6.32-279.el6.x86_64 (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:user.name=root (org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Client environment:user.home=/root(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,610] INFO Clientenvironment:user.dir=/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,611] INFO Initiating client connection,connectString=rs229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181/kafkasessionTimeout=6000 watcher=org.I0Itec.zkclient.ZkClient@7c8b7ac9(org.apache.zookeeper.ZooKeeper)

[2014-07-14 11:48:24,625] INFO Opening socketconnection to server rs198/116.255.234.198:2181(org.apache.zookeeper.ClientCnxn)

[2014-07-14 11:48:24,631] INFO Socket connectionestablished to rs198/116.255.234.198:2181, initiating session(org.apache.zookeeper.ClientCnxn)

[2014-07-14 11:48:24,642] INFO Session establishmentcomplete on server rs198/116.255.234.198:2181, sessionid = 0xc6472c07f50b0000,negotiated timeout = 6000 (org.apache.zookeeper.ClientCnxn)

[2014-07-14 11:48:24,645] INFO zookeeper statechanged (SyncConnected) (org.I0Itec.zkclient.ZkClient)

[2014-07-14 11:48:24,892] INFO Found clean shutdownfile. Skipping recovery for all logs in data directory‘/usr/local/adsit/yting/apache/kafka/kafka_2.9.2-0.8.1.1/kafka-logs‘(kafka.log.LogManager)

[2014-07-14 11:48:24,894] INFO Loading log‘flume-kafka-storm-001-0‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,945] INFO Completed load of logflume-kafka-storm-001-0 with log end offset 18 (kafka.log.Log)

SLF4J: Failed to load class"org.slf4j.impl.StaticLoggerBinder".

SLF4J: Defaulting to no-operation (NOP) loggerimplementation

SLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinder for further details.

[2014-07-14 11:48:24,966] INFO Loading log‘flume-kafka-storm-001-1‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,969] INFO Completed load of logflume-kafka-storm-001-1 with log end offset 7 (kafka.log.Log)

[2014-07-14 11:48:24,970] INFO Loading log‘test001-1‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,973] INFO Completed load of logtest001-1 with log end offset 0 (kafka.log.Log)

[2014-07-14 11:48:24,974] INFO Loading log‘test003-1‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,976] INFO Completed load of logtest003-1 with log end offset 47 (kafka.log.Log)

[2014-07-14 11:48:24,977] INFO Loading log‘test004-0‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,980] INFO Completed load of logtest004-0 with log end offset 51 (kafka.log.Log)

[2014-07-14 11:48:24,981] INFO Loading log‘test004-1‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,984] INFO Completed load of logtest004-1 with log end offset 49 (kafka.log.Log)

[2014-07-14 11:48:24,985] INFO Loading log‘test002-0‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,987] INFO Completed load of logtest002-0 with log end offset 0 (kafka.log.Log)

[2014-07-14 11:48:24,987] INFO Loading log‘test001-0‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,991] INFO Completed load of logtest001-0 with log end offset 0 (kafka.log.Log)

[2014-07-14 11:48:24,991] INFO Loading log‘test002-1‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,993] INFO Completed load of logtest002-1 with log end offset 0 (kafka.log.Log)

[2014-07-14 11:48:24,994] INFO Loading log‘test003-0‘ (kafka.log.LogManager)

[2014-07-14 11:48:24,997] INFO Completed load of logtest003-0 with log end offset 53 (kafka.log.Log)

[2014-07-14 11:48:24,999] INFO Starting log cleanup witha period of 60000 ms. (kafka.log.LogManager)

[2014-07-14 11:48:25,003] INFO Starting log flusherwith a default period of 9223372036854775807 ms. (kafka.log.LogManager)

[2014-07-14 11:48:25,031] INFO Awaiting socketconnections on 0.0.0.0:9092. (kafka.network.Acceptor)

[2014-07-14 11:48:25,032] INFO [Socket Server onBroker 0], Started (kafka.network.SocketServer)

[2014-07-14 11:48:25,143] INFO Will not load MX4J,mx4j-tools.jar is not in the classpath (kafka.utils.Mx4jLoader$)

[2014-07-14 11:48:25,163] INFO 0 successfully electedas leader (kafka.server.ZookeeperLeaderElector)

[2014-07-14 11:48:25,639] INFO New leader is 0(kafka.server.ZookeeperLeaderElector$LeaderChangeListener)

[2014-07-14 11:48:25,645] INFO Registered broker 0 atpath /brokers/ids/0 with address rs229:9092. (kafka.utils.ZkUtils$)

[2014-07-14 11:48:25,660] INFO [Kafka Server 0],started (kafka.server.KafkaServer)

[2014-07-14 11:48:25,942] INFO [ReplicaFetcherManageron broker 0] Removed fetcher for partitions [test001,0],[test003,1],[test003,0],[flume-kafka-storm-001,1],[flume-kafka-storm-001,0],[test004,1],[test004,0],[test001,1],[test002,0],[test002,1](kafka.server.ReplicaFetcherManager)

[2014-07-14 11:48:26,045] INFO [ReplicaFetcherManageron broker 0] Removed fetcher for partitions[test001,0],[test003,1],[test003,0],[flume-kafka-storm-001,1],[flume-kafka-storm-001,0],[test004,1],[test004,0],[test001,1],[test002,0],[test002,1](kafka.server.ReplicaFetcherManager)

# Flume的启动

[root@rs229 apache-flume-1.5.0-bin]# bin/flume-ng agent -n fks -c conf/ -fconf/ytconf/fks/fks001.conf -Dflume.root.logger=INFO,console &

2014-07-14 11:50:13,882 (lifecycleSupervisor-1-0)[INFO - org.apache.flume.source.SpoolDirectorySource.start(SpoolDirectorySource.java:77)]SpoolDirectorySource source starting with directory:/usr/local/yting/flume/tdata/tdir1

2014-07-14 11:50:13,912 (lifecycleSupervisor-1-0)[INFO -org.apache.flume.instrumentation.MonitoredCounterGroup.register(MonitoredCounterGroup.java:119)]Monitored counter group for type: SOURCE, name:source1: Successfully registered new MBean.

2014-07-14 11:50:13,916 (lifecycleSupervisor-1-0)[INFO -org.apache.flume.instrumentation.MonitoredCounterGroup.start(MonitoredCounterGroup.java:95)]Component type: SOURCE, name: source1 started

2014-07-14 11:50:13,916 (pool-4-thread-1) [INFO -org.apache.flume.source.SpoolDirectorySource$SpoolDirectoryRunnable.run(SpoolDirectorySource.java:254)]Spooling Directory Source runner has shutdown.

2014-07-14 11:50:14,417 (pool-4-thread-1) [INFO -org.apache.flume.source.SpoolDirectorySource$SpoolDirectoryRunnable.run(SpoolDirectorySource.java:254)]Spooling Directory Source runner has shutdown.

这样Flume就算启动成功了,并且如果你的监控目录下出现新的日志文件的话,日志文件中的信息会传到Kafka中去,你懂的!

# 在Flume的监控目录下新建一个文件试试

[root@rs229 ytconf]# cd/usr/local/yting/flume/tdata/tdir1/

[root@rs229 tdir1]# ll

total 0

[root@rs229 tdir1]# vi yousmile.log

The you smile until forever .....................

[root@rs229 tdir1]# ll

total 1

-rw-r--r-- 1 root root   50 Jul 14 13:57 yousmile.log.COMPLETED(说明已经被Flume处理过了)

[root@rs229 tdir1]#

# Eclipse下链接服务器查看Flume的自定义Sink是否将数据传到Kafka中去了

# MySimpleConsumer.java(Eclipse下运行即可得到结果)

package com.yting.cloud.kafa.consumer;

 

import kafka.api.FetchRequest;

import kafka.api.FetchRequestBuilder;

import kafka.api.PartitionOffsetRequestInfo;

import kafka.common.ErrorMapping;

import kafka.common.TopicAndPartition;

import kafka.javaapi.*;

import kafka.javaapi.consumer.SimpleConsumer;

import kafka.message.MessageAndOffset;

 

import java.nio.ByteBuffer;

import java.util.ArrayList;

import java.util.Collections;

import java.util.HashMap;

import java.util.List;

import java.util.Map;

 

/**

 * Kafka官网给的案例SimpleConsumer,饿在Eclipse本地连接服务器测试,所以修改了一些代码

 *

 * @Author 王扬庭

 * @Time2014-07-14

 *

 */

public class MySimpleConsumer {

       publicstatic void main(String args[]) {

              MySimpleConsumerexample = new MySimpleConsumer();

              //long maxReads = Long.parseLong(args[0]);

              //String topic = args[1];

              //int partition = Integer.parseInt(args[2]);

              //seeds.add(args[3]);

              //int port = Integer.parseInt(args[4]);

              longmaxReads = 100;

//            Stringtopic = "yting_page_visits";

//            Stringtopic = "test003";

              Stringtopic = "flume-kafka-storm-001";

//            intpartition = 0;

              intpartition = 1; // The you smile until forever .....................日志文件中的这条信息被送到分区1中去了,默认2分区

              List<String>seeds = new ArrayList<String>();

//            seeds.add("rs229");

              seeds.add("rs229");

              seeds.add("rs227");

              seeds.add("rs226");

              seeds.add("rs198");

              seeds.add("rs197");

              intport = Integer.parseInt("9092");

              try{

                     example.run(maxReads,topic, partition, seeds, port);

              }catch (Exception e) {

                     System.out.println("Oops:"+ e);

                     e.printStackTrace();

              }

       }

 

       privateList<String> m_replicaBrokers = new ArrayList<String>();

 

       publicMySimpleConsumer() {

              m_replicaBrokers= new ArrayList<String>();

       }

 

       publicvoid run(long a_maxReads, String a_topic, int a_partition, List<String>a_seedBrokers, int a_port) throws Exception {

              //find the meta data about the topic and partition we are interested in

              //

              PartitionMetadatametadata = findLeader(a_seedBrokers, a_port, a_topic,

                            a_partition);

              if(metadata == null) {

                     System.out.println("Can‘tfind metadata for Topic and Partition. Exiting");

                     return;

              }

              if(metadata.leader() == null) {

                     System.out.println("Can‘tfind Leader for Topic and Partition. Exiting");

                     return;

              }

              StringleadBroker = metadata.leader().host();

              StringclientName = "Client_" + a_topic + "_" + a_partition;

 

              SimpleConsumerconsumer = new SimpleConsumer(leadBroker, a_port, 100000, 64 * 1024,clientName);

              longreadOffset = getLastOffset(consumer, a_topic, a_partition,kafka.api.OffsetRequest.EarliestTime(), clientName);

 

              intnumErrors = 0;

              while(a_maxReads > 0) {

                     if(consumer == null) {

                            consumer= new SimpleConsumer(leadBroker, a_port, 100000, 64 * 1024, clientName);

                     }

                     FetchRequestreq = new FetchRequestBuilder().clientId(clientName)

                                   .addFetch(a_topic,a_partition, readOffset, 100000) // Note: this fetchSize of 100000 might needto be increased if large batches are written to Kafka

                                   .build();

                     FetchResponsefetchResponse = consumer.fetch(req);

 

                     if(fetchResponse.hasError()) {

                            numErrors++;

                            //Something went wrong!

                            shortcode = fetchResponse.errorCode(a_topic, a_partition);

                            System.out.println("Errorfetching data from the Broker:" + leadBroker + " Reason: " +code);

                            if(numErrors > 5)

                                   break;

                            if(code == ErrorMapping.OffsetOutOfRangeCode()) {

                                   //We asked for an invalid offset. For simple case ask for

                                   //the last element to reset

                                   readOffset= getLastOffset(consumer, a_topic, a_partition,kafka.api.OffsetRequest.LatestTime(), clientName);

                                   continue;

                            }

                            consumer.close();

                            consumer= null;

                            leadBroker= findNewLeader(leadBroker, a_topic, a_partition, a_port);

                            continue;

                     }

                     numErrors= 0;

 

                     longnumRead = 0;

                     for(MessageAndOffset messageAndOffset : fetchResponse.messageSet(a_topic,a_partition)) {

                            longcurrentOffset = messageAndOffset.offset();

                            if(currentOffset < readOffset) {

                                   System.out.println("Foundan old offset: " + currentOffset + " Expecting: " + readOffset);

                                   continue;

                            }

                            readOffset =messageAndOffset.nextOffset();

                            ByteBufferpayload = messageAndOffset.message().payload();

 

                            byte[]bytes = new byte[payload.limit()];

                            payload.get(bytes);

                            System.out.println(String.valueOf(messageAndOffset.offset())+ ": " + new String(bytes, "UTF-8"));

                            numRead++;

                            a_maxReads--;

                     }

 

                     if(numRead == 0) {

                            try{

                                   Thread.sleep(1000);

                            }catch (InterruptedException ie) {

                            }

                     }

              }

              if(consumer != null)

                     consumer.close();

       }

 

       publicstatic long getLastOffset(SimpleConsumer consumer, String topic,

                     intpartition, long whichTime, String clientName) {

              TopicAndPartitiontopicAndPartition = new TopicAndPartition(topic, partition);

              Map<TopicAndPartition,PartitionOffsetRequestInfo> requestInfo = new HashMap<TopicAndPartition,PartitionOffsetRequestInfo>();

              requestInfo.put(topicAndPartition,new PartitionOffsetRequestInfo(whichTime, 1));

              kafka.javaapi.OffsetRequestrequest = new kafka.javaapi.OffsetRequest(requestInfo, kafka.api.OffsetRequest.CurrentVersion(),clientName);

              OffsetResponseresponse = consumer.getOffsetsBefore(request);

 

              if(response.hasError()) {

                     System.out.println("Errorfetching data Offset Data the Broker. Reason: "+ response.errorCode(topic,partition));

                     return0;

              }

              long[]offsets = response.offsets(topic, partition);

              returnoffsets[0];

       }

 

       privateString findNewLeader(String a_oldLeader, String a_topic,

                     inta_partition, int a_port) throws Exception {

              for(int i = 0; i < 3; i++) {

                     booleangoToSleep = false;

                     PartitionMetadatametadata = findLeader(m_replicaBrokers, a_port, a_topic, a_partition);

                     if(metadata == null) {

                            goToSleep= true;

                     }else if (metadata.leader() == null) {

                            goToSleep= true;

                     }else if (a_oldLeader.equalsIgnoreCase(metadata.leader().host())

                                   &&i == 0) {

                            //first time through if the leader hasn‘t changed give

                            //ZooKeeper a second to recover

                            //second time, assume the broker did recover before failover,

                            //or it was a non-Broker issue

                            //

                            goToSleep= true;

                     }else {

                            returnmetadata.leader().host();

                     }

                     if(goToSleep) {

                            try{

                                   Thread.sleep(1000);

                            }catch (InterruptedException ie) {

                            }

                     }

              }

              System.out.println("Unableto find new leader after Broker failure. Exiting");

              thrownew Exception("Unable to find new leader after Broker failure.Exiting");

       }

 

       privatePartitionMetadata findLeader(List<String> a_seedBrokers, int a_port,String a_topic, int a_partition) {

              PartitionMetadatareturnMetaData = null;

              loop:for (String seed : a_seedBrokers) {

                     SimpleConsumerconsumer = null;

                     try{

                            consumer= new SimpleConsumer(seed, a_port, 100000, 64 * 1024,"leaderLookup");

                            List<String>topics = Collections.singletonList(a_topic);

                            TopicMetadataRequestreq = new TopicMetadataRequest(topics);

                            kafka.javaapi.TopicMetadataResponseresp = consumer.send(req);

 

                            List<TopicMetadata>metaData = resp.topicsMetadata();

                            for(TopicMetadata item : metaData) {

                                   for (PartitionMetadata part: item.partitionsMetadata()) {

                                          if(part.partitionId() == a_partition) {

                                                 returnMetaData= part;

                                                 breakloop;

                                          }

                                   }

                            }

                     }catch (Exception e) {

                            System.out.println("Errorcommunicating with Broker [" + seed + "] to find Leader for [" +a_topic + ", " + a_partition + "] Reason: " + e);

                     }finally {

                            if(consumer != null)

                                   consumer.close();

                     }

              }

              if(returnMetaData != null) {

                     m_replicaBrokers.clear();

                     for(kafka.cluster.Broker replica : returnMetaData.replicas()) {

                            m_replicaBrokers.add(replica.host());

                     }

              }

              returnreturnMetaData;

       }

}

bubuko.com,布布扣

这张图是Eclipse下运行结果 、、、

# Flume+Kafka整合成功,下面开始Kafka+Storm整合

# Kafka+Storm的整合

# Kafka的启动(这个在Flume+Kafka的整合中Kafka已经启动了,所以不需要再启动了)

# Storm的启动

# Storm nimbus的启动

[root@rs229 apache-storm-0.9.2-incubating]#bin/storm nimbus &

[1] 26815

[root@rs229 apache-storm-0.9.2-incubating]#Running: /usr/local/adsit/yting/jdk/jdk1.7.0_60/bin/java -server-Dstorm.options= -Dstorm.home=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file=-cp / /usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/lib/zkclient-0.3.jar:/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/conf-Xmx1024m -Dlogfile.name=nimbus.log-Dlogback.configurationFile=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/logback/cluster.xmlbacktype.storm.daemon.nimbus

# Storm ui的启动

[root@rs229 apache-storm-0.9.2-incubating]# bin/storm ui &

[2] 26912

[root@rs229 apache-storm-0.9.2-incubating]# Running:/usr/local/adsit/yting/jdk/jdk1.7.0_60/bin/java -server -Dstorm.options=-Dstorm.home=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file=-cp //usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/conf-Xmx768m -Dlogfile.name=ui.log -Dlogback.configurationFile=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/logback/cluster.xmlbacktype.storm.ui.core

# Storm supervisor的启动

# rs226上启动Supervisor

[root@rs226 apache-storm-0.9.2-incubating]# bin/storm supervisor &

[1] 15273

[root@rs226 apache-storm-0.9.2-incubating]# Running:/usr/local/adsit/yting/jdk/jdk1.7.0_60/bin/java -server -Dstorm.options=-Dstorm.home=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file=-cp /…:/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/conf-Xmx256m -Dlogfile.name=supervisor.log -Dlogback.configurationFile=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/logback/cluster.xmlbacktype.storm.daemon.supervisor

 

# rs198上启动Supervisor

[root@rs198 apache-storm-0.9.2-incubating]# bin/storm supervisor &

[1] 15274

[root@RS198 apache-storm-0.9.2-incubating]# Running:/usr/local/adsit/yting/jdk/jdk1.7.0_60/bin/java -server -Dstorm.options=-Dstorm.home=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file=-cp /…:/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/conf-Xmx256m -Dlogfile.name=supervisor.log -Dlogback.configurationFile=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/logback/cluster.xmlbacktype.storm.daemon.supervisor

# rs197上启动Supervisor

[root@RS197 apache-storm-0.9.2-incubating]# bin/stormsupervisor &

[1] 25262

[root@RS197 apache-storm-0.9.2-incubating]# Running:/root/jdk1.6.0_26/bin/java -server -Dstorm.options=-Dstorm.home=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file=-cp /:/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/conf-Xmx256m -Dlogfile.name=supervisor.log -Dlogback.configurationFile=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/logback/cluster.xmlbacktype.storm.daemon.supervisor

# rs167上启动Supervisor

[root@RS196 apache-storm-0.9.2-incubating]# bin/stormsupervisor &

[1] 17330

[root@RS196 apache-storm-0.9.2-incubating]# Running:/root/jdk1.6.0_26/bin/java -server -Dstorm.options=-Dstorm.home=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file=-cp /…:/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/conf-Xmx256m -Dlogfile.name=supervisor.log-Dlogback.configurationFile=/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/logback/cluster.xmlbacktype.storm.daemon.supervisor

# 需要打成jar包的3个Class,放到$STORM_HOME/lib目录下去

# MyHighLevelConsumer.java

package com.yting.cloud.kafa.consumer;

 

import kafka.consumer.ConsumerConfig;

import kafka.consumer.KafkaStream;

import kafka.javaapi.consumer.ConsumerConnector;

 

import java.util.HashMap;

import java.util.List;

import java.util.Map;

import java.util.Properties;

import java.util.concurrent.ExecutorService;

import java.util.concurrent.Executors;

 

import kafka.consumer.ConsumerIterator;

//import kafka.consumer.KafkaStream;

 

/**

 * KafkaSink(custom)

 *

 * @Author王扬庭(妳那伊抹微笑)

 * @Time2014-07-14

 * @Problem youshould run this consumer class before producer

 *

 */

//@SuppressWarnings("all")

public class MyHighLevelConsumer {

    privatefinal ConsumerConnector consumer;

    privatefinal String topic;

    privateExecutorService executor;

 

    publicMyHighLevelConsumer(String a_zookeeper, String a_groupId, String a_topic) {

       consumer = kafka.consumer.Consumer.createJavaConsumerConnector(createConsumerConfig(a_zookeeper,a_groupId));

       this.topic = a_topic;

    }

 

    public voidshutdown() {

        if(consumer != null) consumer.shutdown();

        if(executor != null) executor.shutdown();

    }

 

    public voidrun(int a_numThreads) {

       Map<String, Integer> topicCountMap = new HashMap<String,Integer>();

       topicCountMap.put(topic, new Integer(a_numThreads));

       Map<String, List<KafkaStream<byte[], byte[]>>>consumerMap = consumer.createMessageStreams(topicCountMap);

       List<KafkaStream<byte[], byte[]>> streams =consumerMap.get(topic);

 

        // nowlaunch all the threads

        //

       executor = Executors.newFixedThreadPool(a_numThreads);

 

        // nowcreate an object to consume the messages

        //

        intthreadNumber = 0;

        for(final KafkaStream stream : streams) {

           executor.submit(new ConsumerTest(stream, threadNumber));

           threadNumber++;

        }

    }

 

    privatestatic ConsumerConfig createConsumerConfig(String a_zookeeper, Stringa_groupId) {

       Properties props = new Properties();

       props.put("zookeeper.connect", a_zookeeper);

       props.put("group.id", a_groupId);

        props.put("zookeeper.session.timeout.ms","4000");

       props.put("zookeeper.sync.time.ms", "200");

       props.put("auto.commit.interval.ms", "1000");

//       props.put("auto.offset.reset", "smallest");

 

        returnnew ConsumerConfig(props);

    }

   

 

    classConsumerTest implements Runnable {

        privateKafkaStream<byte[], byte[]> m_stream;

        privateint m_threadNumber;

    

        publicConsumerTest(KafkaStream<byte[], byte[]> a_stream, int a_threadNumber) {

           m_threadNumber = a_threadNumber;

           m_stream = a_stream;

        }

    

        publicvoid run() {

           ConsumerIterator<byte[], byte[]> it = m_stream.iterator();

           while (it.hasNext())

               System.out.println("Thread " + m_threadNumber + ": "+ new String(it.next().message()));

           System.out.println("Shutting down Thread: " + m_threadNumber);

        }

    }

   

    publicstatic void main(String[] args) {

//      StringzooKeeper = args[0];

//      String groupId = args[1];

//      Stringtopic = args[2];

//      intthreads = Integer.parseInt(args[3]);

 

//      StringzooKeeper = "116.255.224.229:2182";

      StringzooKeeper ="rs229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181/kafka";

      String groupId = "1";

      Stringtopic = "flume-kafka-storm-001";

      intthreads = 1;

 

     MyHighLevelConsumer example = new MyHighLevelConsumer(zooKeeper,groupId, topic);

     example.run(threads);

 

//      try {

//         Thread.sleep(1000);

//      } catch(InterruptedException ie) {

//

//      }

//     example.shutdown();

  }

}

# HighLevelKafkaSpout.java

package com.yting.cloud.storm.spout;

 

import java.util.Map;

 

import org.apache.commons.logging.Log;

import org.apache.commons.logging.LogFactory;

 

importcom.yting.cloud.kafa.consumer.MyHighLevelConsumer;

import kafka.javaapi.consumer.ConsumerConnector;

 

import backtype.storm.spout.SpoutOutputCollector;

import backtype.storm.task.TopologyContext;

import backtype.storm.topology.IRichSpout;

import backtype.storm.topology.OutputFieldsDeclarer;

import backtype.storm.tuple.Fields;

/**

 * Storm spout

 *

 * @Author王扬庭(妳那伊抹微笑)

 * @Time2014-07-14

 *

 */

public class HighLevelKafkaSpout implementsIRichSpout {

       privatestatic final Log log = LogFactory.getLog(HighLevelKafkaSpout.class);

       privateSpoutOutputCollector collector;

       privateConsumerConnector consumer;

       privateString topic;

       privateint a_numThreads = 1;

 

       publicHighLevelKafkaSpout() {

       }

      

       public HighLevelKafkaSpout(Stringtopic) {

              this.topic= topic;

       }

 

       @Override

       publicvoid nextTuple() {

 

       }

 

       @Override

       publicvoid open(Map conf, TopologyContext context, SpoutOutputCollector collector) {

              this.collector= collector;

       }

 

       @Override

       public voidack(Object msgId) {

              log.info("--------->ack");

       }

 

       @Override

       publicvoid activate() {

              log.info("--------->activatestart--------->");

              MyHighLevelConsumer.main(null);

              //这里的具体代码可以重构出来,还有collector.emit(newValues("need to emit"));这样的代码也还没写的,先意思一下了

              log.info("--------->activateend--------->");

       }

 

       @Override

       publicvoid close() {

              log.info("--------->close");

       }

 

       @Override

       publicvoid deactivate() {

              log.info("--------->deactivate");

       }

 

       @Override

       publicvoid fail(Object msgId) {

              log.info("--------->fail");

       }

 

       @Override

       publicvoid declareOutputFields(OutputFieldsDeclarer declarer) {

              declarer.declare(newFields("highLevelKafkaSpout"));

       }

 

       @Override

       publicMap<String, Object> getComponentConfiguration() {

              log.info("--------->getComponentConfiguration");

              returnnull;

       }

 

}

# KafkaTopology.java

package com.yting.cloud.storm.topology;

 

import java.util.HashMap;

import java.util.Map;

 

import com.yting.cloud.storm.spout.HighLevelKafkaSpout;

 

import backtype.storm.Config;

import backtype.storm.LocalCluster;

import backtype.storm.topology.TopologyBuilder;

import backtype.storm.utils.Utils;

 

/**

 * Stormtopology

 *

 * @Author 王扬庭(妳那伊抹微笑)

 * @Time2014-07-14

 *

 */

public class KafkaTopology {

       publicstatic void main(String[] args) {

              TopologyBuilderbuilder = new TopologyBuilder();

 

              builder.setSpout("1",new HighLevelKafkaSpout(""), 1);

 

              Mapconf = new HashMap();

              conf.put(Config.TOPOLOGY_WORKERS,1);

              conf.put(Config.TOPOLOGY_DEBUG,true);

 

              LocalClustercluster = new LocalCluster();

              cluster.submitTopology("my-flume-kafka-storm-topology-integration",conf, builder.createTopology());

             

              Utils.sleep(1000*60*5);// local cluster test ...

              cluster.shutdown();

       }

}

# Storm jar 命令运行storm程序

[root@rs229 yjar]# ll

total 72

-rw-r--r-- 1 root root 19826 Jul 14 10:27fks-storm-0013.jar

-rw-r--r-- 1 root root 19833 Jul 14 10:31fks-storm-high-001.jar

-rw-r--r-- 1 root root 15149 Jul  7 17:43 storm-wordcount-official-cluster.jar

-rw-r--r-- 1 root root 15192 Jul  7 17:47 storm-wordcount-official-local.jar

[root@rs229 yjar]# pwd

/usr/local/adsit/yting/apache/storm/apache-storm-0.9.2-incubating/yjar

[root@rs229 yjar]# storm jarfks-storm-high-001.jar com.yting.cloud.storm.topology.KafkaTopology

日志信息太多了,随便弄一点吧!

14650 [main]INFO com.yting.cloud.storm.spout.HighLevelKafkaSpout - --------->close

14650 [main]INFO  backtype.storm.daemon.executor -Shut down executor 1:[1 1]

14650 [main]INFO  backtype.storm.daemon.worker - Shutdown executors

14650 [main]INFO  backtype.storm.daemon.worker -Shutting down transfer thread

14651[Thread-14-disruptor-worker-transfer-queue] INFO  backtype.storm.util - Async loop interrupted!

14651 [main]INFO  backtype.storm.daemon.worker - Shutdown transfer thread

14652 [main]INFO  backtype.storm.daemon.worker -Shutting down default resources

14653 [main]INFO  backtype.storm.daemon.worker - Shutdown default resources

14661 [main]INFO  backtype.storm.daemon.worker -Disconnecting from storm cluster state context

14664 [main]INFO  backtype.storm.daemon.worker - Shutdown worker my-flume-kafka-storm-topology-integration-1-1405320692e0d44e3c-5b2a-4263-8dab-4aacf4215d2d 1024

14667 [main]INFO  backtype.storm.daemon.supervisor -Shut downe0d44e3c-5b2a-4263-8dab-4aacf4215d2d:14d31572-9e60-4a16-9638-56c22530826d

14667 [main]INFO  backtype.storm.daemon.supervisor -Shutting down supervisor e0d44e3c-5b2a-4263-8dab-4aacf4215d2d

14668 [Thread-3]INFO  backtype.storm.event - Eventmanager interrupted

14668 [Thread-4]INFO  backtype.storm.event - Eventmanager interrupted

14671 [main]INFO  backtype.storm.daemon.supervisor - Shuttingdown supervisor cd464efd-fa69-4566-8cba-7e10d51dae6c

14671 [Thread-5]INFO  backtype.storm.event - Eventmanager interrupted

14672 [Thread-6]INFO  backtype.storm.event - Eventmanager interrupted

14674 [main]INFO  backtype.storm.testing - Shuttingdown in process zookeeper

14675 [main]INFO  backtype.storm.testing - Doneshutting down in process zookeeper

14675 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/c88e689e-c97e-4822-886d-ddcc1e7b9e9d

14677 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/88f3f052-cfaf-4d53-91ad-489965612e94

14678 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/17f2f7cf-7844-4077-8ad9-b3503fa21fb6

14681 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/548e5d3e-b05d-42a7-bd71-ac4ece8e93c4

#在Flume的监控目录下新建一个测试文件,看看Storm程序能否打印出文件内容的数据

# 新建fks-yousmile-20140714.log文件

[root@rs229tdir1]# vi fks-yousmile-20140714.log

So i miss the change to see youagain .

[root@rs229tdir1]# ll

-rw-r--r-- 1root root   40 Jul 14 14:59fks-yousmile-20140714.log.COMPLETED

# Storm控制台信息

14675 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/c88e689e-c97e-4822-886d-ddcc1e7b9e9d

14677 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/88f3f052-cfaf-4d53-91ad-489965612e94

14678 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/17f2f7cf-7844-4077-8ad9-b3503fa21fb6

14681 [main]INFO  backtype.storm.testing - Deletingtemporary path /tmp/548e5d3e-b05d-42a7-bd71-ac4ece8e93c4

Thread 0: So i miss the change tosee you again .Storm程序已经打印出来刚刚新建文件的内容信息了)

# Flume+Kafka+Storm整合完毕

# Storm那里写的太简单了,可以把Kafka的HighConsumer提取到Storm里面去,便于控制,比如下面的代码:

package com.yting.cloud.storm.spout;

 

import java.util.HashMap;

import java.util.List;

import java.util.Map;

import java.util.Properties;

 

import org.apache.commons.logging.Log;

import org.apache.commons.logging.LogFactory;

 

import kafka.consumer.Consumer;

import kafka.consumer.ConsumerConfig;

import kafka.consumer.ConsumerIterator;

import kafka.consumer.KafkaStream;

import kafka.javaapi.consumer.ConsumerConnector;

 

import backtype.storm.spout.SpoutOutputCollector;

import backtype.storm.task.TopologyContext;

import backtype.storm.topology.IRichSpout;

import backtype.storm.topology.OutputFieldsDeclarer;

import backtype.storm.tuple.Fields;

import backtype.storm.tuple.Values;

 

/**

 * Storm spout

 *

 * @Author 王扬庭(妳那伊抹微笑)

 * @Time 2014-07-14

 *

 */

public classKafkaSpoutimplementsIRichSpout {

    private static final Loglog =LogFactory.getLog(KafkaSpout.class);

    private SpoutOutputCollector collector;

    private ConsumerConnector consumer;

    private String topic;

    private int a_numThreads = 1;

 

    public KafkaSpout(String topic) {

       this.topic = topic;

    }

 

    @Override

    public void nextTuple() {

 

    }

 

    @Override

    public void open(Map conf, TopologyContextcontext, SpoutOutputCollector collector) {

       this.collector = collector;

    }

 

    @Override

    public void ack(Object msgId) {

       log.info("--------->ack");

    }

 

    @Override

    public void activate() {

       log.info("--------->activate");

       this.consumer = Consumer.createJavaConsumerConnector(createConsumerConfig());

       Map<String, Integer> topicCountMap =newHashMap<String, Integer>();

       topicCountMap.put(topic,new Integer(a_numThreads));

       Map<String, List<KafkaStream<byte[],byte[]>>>consumerMap = consumer.createMessageStreams(topicCountMap);

       KafkaStream<byte[],byte[]> streams =consumerMap.get(topic).get(0);

       ConsumerIterator<byte[],byte[]> it =streams.iterator();

       while (it.hasNext()) {

           String value =new String(it.next().message());

           log.info("(--------->Storm kafkaconsumer)------->" + value);

           collector.emit(newValues(value), value);

       }

    }

 

    private static ConsumerConfigcreateConsumerConfig() {

       Properties props =new Properties();

       props.put("zookeeper.connect", "rs229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181/kafka");

//     props.put("zookeeper.connect","rs229:2181,rs227:2181,rs226:2181,rs198:2181,rs197:2181");

//     props.put("zookeeper.connect","rs229");

       props.put("group.id", "2");

        props.put("zookeeper.session.timeout.ms","4000");

        props.put("zookeeper.sync.time.ms","200");

        props.put("auto.commit.interval.ms","1000");

 

       return new ConsumerConfig(props);

    }

 

    @Override

    public void close() {

       log.info("--------->close");

    }

 

    @Override

    public void deactivate() {

       log.info("--------->deactivate");

    }

 

    @Override

    public void fail(Object msgId) {

       log.info("--------->fail");

    }

 

    @Override

    public voiddeclareOutputFields(OutputFieldsDeclarer declarer) {

       declarer.declare(new Fields("kafkaSpout"));

    }

 

    @Override

    public Map<String, Object>getComponentConfiguration() {

       log.info("--------->getComponentConfiguration");

       return null;

    }

 

}

本人有点小懒,就不弄的更精细了 ,等到搞数据架构的时候再弄好点吧!

# 结束感言

框架整合中用到的所有工程代码,jar包什么的都已经上传到群214293307共享中,需要的话自己下载研究了。

本博文整合Flume+Kafka+Storm中的Eclipse工程代码下载地址http://download.csdn.net/detail/u012185296/7633405

好好学习,天天向上,本来这个早该搞好了,由于种种原因延迟了许久,真心计划往往赶不上变化啊!

Good good study , day day up high

The you smile until forever .....................


# Time 2014-07-14

_00022 Flume-1.5.0+Kafka_2.9.2-0.8.1.1+Storm-0.9.2 分布式环境整合,布布扣,bubuko.com

_00022 Flume-1.5.0+Kafka_2.9.2-0.8.1.1+Storm-0.9.2 分布式环境整合

原文:http://blog.csdn.net/u012185296/article/details/37762793

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