centos 7 kafka 2.10-0.10.2.0 集群

本文主要是介绍centos 7 kafka 2.10-0.10.2.0 集群，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

快速开始：

http://kafka.apache.org/quickstart

关于kafka说明可以参考：

http://kafka.apache.org/documentation.html

0) kafka集群的安装, 准备三台服务器

server1:192.168.0.1

server2:192.168.0.2

server3:192.168.0.3

1) 下载kafka 2.10-0.10.2.0( http://kafka.apache.org/downloads.html)

2) 解压

tar -zxvf kafka_ 2.10-0.10.2.0.tgz

mv kafka_ 2.10-0.10.2.0 /usr/local/kafka

mkdir /usr/local/kafka/logs

3) 配置

修改 /usr/local/kafka/config/server.properties, 其中broker.id, log.dirs, zookeeper.connect 必须根据实际情况进行修改，其他项根据需要自行斟酌。

如下：

#==========================================

broker.id=1

#port=9092 #默认

num.network.threads=3

num.io.threads=8

socket.send.buffer.bytes=1048576

socket.receive.buffer.bytes=1048576

socket.request.max.bytes=104857600

log.dir=/usr/local/kafka/logs

num.partitions=2

num.recovery.threads.per.data.dir=1

log.retention.hours=168

log.segment.bytes=536870912

log.retention.check.interval.ms=300000

zookeeper.connect=192.168.0.1:2181,192.168.0.2:2181,192.168.0.3:2181/ kafka

zookeeper.connection.timeout.ms=6000

#==========================================

注：在zookeeper 创建一个 kafka 结点，这样好管理。

4) 启动kafka

针对服务器server2,server3可以将server1复制到相应的目录:

scp -r /usr/local/kafka root@192.168.0.2:/usr/local/

scp -r /usr/local/kafka root@192.168.0.3:/usr/local/

cd /usr/local/kafka

修改三台机子： config/server.properties

server1 :

broker.id=1

server2 :

broker.id=2

server3 :

broker.id=3

启动

/usr/local/kafka/ bin/kafka-server-start.sh /usr/local/kafka/config/server.properties &

查看

lsof -i:9092

5) 创建Topic(包含一个分区，三个副本)

/usr/local/kafka/bin/kafka-topics.sh --create --zookeeper 192.168.0.1:2181,192.168.0.2:2181,192.168.0.3:2181/kafka --replication-factor 3 --partitions 1 --topic mytopic

#删除

#/usr/local/kafka/bin/kafka-topics.sh --delete --zookeeper 192.168.0.1:2181,192.168.0.2:2181,192.168.0.3:2181/kafka --topic mytopic

6) 查看topic情况

/usr/local/kafka/bin/kafka-topics.sh --list --zookeeper 192.168.0.1:2181,192.168.0.2:2181,192.168.0.3:2181/kafka

7) 创建发送者（发）

./bin/kafka-console-producer.sh --broker-list 192.168.0.1 : 9092,192.168.0.2:9092,192.168.0.3:9092 --topic mytopic

my msg1

my msg2

8) 创建消费者（收）

/usr/local/kafka/bin/kafka-console-consumer.sh --zookeeper 192.168.0.1:2181,192.168.0.2:2181,192.168.0.3:2181/kafka --topic mytopic --from-beginning

my msg1

my msg2

9) 查看描述
/usr/local/kafka/bin/kafka-topics.sh --describe --zookeeper 192.168.0.1:2181,192.168.0.2:2181,192.168.0.3:2181/kafka --topic mytopic

10) 杀掉server1上的broker

kill `lsof -i:9092 | sed -n '2p' | awk '{print $2}'`

kill `ps -ef | grep kafka.Kafka | grep -v grep | awk '{print $2}'`

=============================================================

常用问题：

=============================================================

1、启动失败正则解释出错

[2017-04-29 19:25:54,810] FATAL  (kafka.Kafka$)
java.lang.VerifyError: Uninitialized object exists on backward branch 162
Exception Details:Location:scala/util/matching/Regex.unapplySeq(Lscala/util/matching/Regex$Match;)Lscala/Option; @216: gotoReason:Error exists in the bytecodeBytecode:0x0000000: 2bc6 000a 2bb6 00ef c700 07b2 0052 b02b0x0000010: b600 f2b6 00f3 2ab6 0054 4d59 c700 0b570x0000020: 2cc6 000d a700 c92c b600 f799 00c2 bb000x0000030: 6059 b200 65b2 006a 043e c700 0501 bf1d0x0000040: 2bb6 00f8 b600 74b6 0078 2bba 0100 00000x0000050: b200 93b6 0097 3a06 3a05 59c7 0005 01bf0x0000060: 3a04 1906 b200 93b6 009b a600 7619 04b20x0000070: 00a0 a600 09b2 00a0 a700 71bb 00a2 59190x0000080: 04b6 00a8 3a0b 2b19 0bb8 00fc b200 a0b70x0000090: 00ac 3a07 1907 3a08 1904 b600 afc0 00a40x00000a0: 3a09 1909 b200 a0a5 0034 bb00 a259 19090x00000b0: b600 a83a 0b2b 190b b800 fcb2 00a0 b7000x00000c0: ac3a 0a19 0819 0ab6 00b3 190a 3a08 19090x00000d0: b600 afc0 00a4 3a09 a7ff ca19 07a7 000c0x00000e0: 1904 1905 1906 b800 b9b7 00bc b02a 2bb60x00000f0: 00ef b601 02b0                         Stackmap Table:same_frame(@11)same_frame(@15)full_frame(@39,{Object[#2],Object[#34],Object[#86]},{Object[#86]})same_frame(@46)full_frame(@63,{Object[#2],Object[#34],Object[#86],Integer},{Uninitialized[#46],Uninitialized[#46],Object[#98]})full_frame(@96,{Object[#2],Object[#34],Object[#86],Integer,Top,Object[#206],Object[#208]},{Uninitialized[#46],Uninitialized[#46],Object[#164]})full_frame(@123,{Object[#2],Object[#34],Object[#86],Integer,Object[#164],Object[#206],Object[#208]},{Uninitialized[#46],Uninitialized[#46]})full_frame(@162,{Object[#2],Object[#34],Object[#86],Integer,Object[#164],Object[#206],Object[#208],Object[#162],Object[#162],Object[#164],Top,Object[#4]},{Uninitialized[#46],Uninitialized[#46]})full_frame(@219,{Object[#2],Object[#34],Object[#86],Integer,Object[#164],Object[#206],Object[#208],Object[#162],Object[#162],Object[#164],Top,Object[#4]},{Uninitialized[#46],Uninitialized[#46]})full_frame(@224,{Object[#2],Object[#34],Object[#86],Integer,Object[#164],Object[#206],Object[#208]},{Uninitialized[#46],Uninitialized[#46]})full_frame(@233,{Object[#2],Object[#34],Object[#86],Integer,Object[#164],Object[#206],Object[#208]},{Uninitialized[#46],Uninitialized[#46],Object[#4]})full_frame(@237,{Object[#2],Object[#34],Object[#86]},{})at scala.collection.immutable.StringLike.r(StringLike.scala:287)at scala.collection.immutable.StringLike.r$(StringLike.scala:287)at scala.collection.immutable.StringOps.r(StringOps.scala:29)at scala.collection.immutable.StringLike.r(StringLike.scala:276)at scala.collection.immutable.StringLike.r$(StringLike.scala:276)at scala.collection.immutable.StringOps.r(StringOps.scala:29)at kafka.cluster.EndPoint$.<init>(EndPoint.scala:29)at kafka.cluster.EndPoint$.<clinit>(EndPoint.scala)at kafka.server.Defaults$.<init>(KafkaConfig.scala:63)at kafka.server.Defaults$.<clinit>(KafkaConfig.scala)at kafka.server.KafkaConfig$.<init>(KafkaConfig.scala:616)at kafka.server.KafkaConfig$.<clinit>(KafkaConfig.scala)at kafka.server.KafkaServerStartable$.fromProps(KafkaServerStartable.scala:28)at kafka.Kafka$.main(Kafka.scala:58)at kafka.Kafka.main(Kafka.scala)

查了一天都无助了，最后查源代码，感觉好是jdk的问题，出错的jdk是：jdk-8u20-linux-x64.tar.gz ，换成 jdk-8u131-linux-x64.tar.gz 就能正常启动了。

2、doesn’t match stored brokerId 0 in meta.properties

错误的原因是log.dirs目录下的meta.properties中配置的broker.id和配置目录下的server.properties中的broker.id不一致了，解决问题的方法是将两者修改一致后再重启。

3、WARN Error while fetching metadata with correlation id 错误处理

[2016-10-14 06:36:18,401] WARN Error while fetching metadata with correlation id 0 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:19,543] WARN Error while fetching metadata with correlation id 1 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:19,680] WARN Error while fetching metadata with correlation id 2 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:19,908] WARN Error while fetching metadata with correlation id 3 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:20,116] WARN Error while fetching metadata with correlation id 4 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:20,334] WARN Error while fetching metadata with correlation id 5 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:20,505] WARN Error while fetching metadata with correlation id 6 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2016-10-14 06:36:20,757] WARN Error while fetching metadata with correlation id 7 : {test333=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)

解决：config/server.properties kafka必须配置hostname

4、java.io.IOException: Connection to 127.0.0.1:9092 (id: 0 rack: null) failed

java.io.IOException: Connection to 127.0.0.1:9092 (id: 0 rack: null) failedat kafka.utils.NetworkClientBlockingOps$.awaitReady$1(NetworkClientBlockingOps.scala:84)at kafka.utils.NetworkClientBlockingOps$.blockingReady$extension(NetworkClientBlockingOps.scala:94)at kafka.server.ReplicaFetcherThread.sendRequest(ReplicaFetcherThread.scala:244)at kafka.server.ReplicaFetcherThread.fetch(ReplicaFetcherThread.scala:234)at kafka.server.ReplicaFetcherThread.fetch(ReplicaFetcherThread.scala:42)at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:118)at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:103)at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:63)

未有停机的情况现出这个错误，解决： rm -rf /usr/local/kafka/logs/*

关于kafka说明可以参考： http://kafka.apache.org/documentation.html

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