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在Centos 上安装Kafka集群_PHP教程

在Centos上安装Kafka集群。在Centos上安装Kafka集群安装准备:版本Kafka版本:kafka_2.11-0.9.0.0Zookeeper版本:zookeeper-3.4.7Zookeeper集群:bjrenrui0001bjrenrui0002bjrenrui0003Z

在Centos 上安装Kafka集群


安装准备:
版本
Kafka版本:kafka_2.11-0.9.0.0
Zookeeper版本:zookeeper-3.4.7
Zookeeper 集群:bjrenrui0001 bjrenrui0002 bjrenrui0003
Zookeeper集群的搭建参见:在CentOS上安装ZooKeeper集群

物理环境
安装三台物理机:
192.168.100.200 bjrenrui0001(运行3个Broker)
192.168.100.201 bjrenrui0002(运行2个Broker)
192.168.100.202 bjrenrui0003(运行2个Broker)
该集群的创建主要分为三步,单节点单Broker,单节点多Broker,多节点多Broker

单节点单Broker
本节以bjrenrui0001上创建一个Broker为例
下载kafka:
下载路径:http://kafka.apache.org/downloads.html
cd /mq/
wget http://mirrors.hust.edu.cn/apache/kafka/0.9.0.0/kafka_2.11-0.9.0.0.tgz
copyfiles.sh kafka_2.11-0.9.0.0.tgz bjyfnbserver /mq/
tar zxvf kafka_2.11-0.9.0.0.tgz -C /mq/
ln -s /mq/kafka_2.11-0.9.0.0 /mq/kafka
mkdir /mq/kafka/logs

配置
修改config/server.properties
vi /mq/kafka/config/server.properties
broker.id=1
listeners=PLAINTEXT://:9092
port=9092
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181GG
zookeeper.connection.timeout.ms=6000

启动Kafka服务:
cd /mq/kafka;sh bin/kafka-server-start.sh -daemon config/server.properties

sh /mq/kafka/bin/kafka-server-start.sh -daemon /mq/kafka/config/server.properties

netstat -ntlp|grep -E '2181|9092'
(Not all processes could be identified, non-owned process info
will not be shown, you would have to be root to see it all.)
tcp6 0 0 :::9092 :::* LISTEN 26903/java
tcp6 0 0 :::2181 :::* LISTEN 24532/java

创建Topic:
sh /mq/kafka/bin/kafka-topics.sh --create --zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181 --replication-factor 1 --partitions 1 --topic test

查看Topic:
sh /mq/kafka/bin/kafka-topics.sh --list --zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181

producer发送消息:
$ sh /mq/kafka/bin/kafka-console-producer.sh --broker-list bjrenrui0001:9092 --topic test
first
message

consumer接收消息:
$ sh bin/kafka-console-consumer.sh --zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181 --topic test --from-beginning
first
message
如果要最新的数据,可以不带--from-beginning参数即可。

单节点多个Broker
将上个章节中的文件夹再复制两份分别为kafka_2,kafka_3
cp -r /mq/kafka_2.11-0.9.0.0 /mq/kafka_2.11-0.9.0.0_2
cp -r /mq/kafka_2.11-0.9.0.0 /mq/kafka_2.11-0.9.0.0_3
ln -s /mq/kafka_2.11-0.9.0.0_2 /mq/kafka_2
ln -s /mq/kafka_2.11-0.9.0.0_3 /mq/kafka_3

分别修改kafka_2/config/server.properties以及kafka_3/config/server.properties 文件中的broker.id,以及port属性,确保唯一性
vi /mq/kafka_2/config/server.properties
broker.id=2
listeners=PLAINTEXT://:9093
port=9093
host.name=bjrenrui0001
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka_2/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181
zookeeper.connection.timeout.ms=6000

vi /mq/kafka_3/config/server.properties
broker.id=3
listeners=PLAINTEXT://:9094
port=9094
host.name=bjrenrui0001
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka_3/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181
zookeeper.connection.timeout.ms=6000

启动
启动另外两个Broker:
sh /mq/kafka_2/bin/kafka-server-start.sh -daemon /mq/kafka_2/config/server.properties
sh /mq/kafka_3/bin/kafka-server-start.sh -daemon /mq/kafka_3/config/server.properties

检查端口:
[dreamjobs@bjrenrui0001 config]$ netstat -ntlp|grep -E '2181|909[2-9]'|sort -k3
(Not all processes could be identified, non-owned process info
will not be shown, you would have to be root to see it all.)
tcp6 0 0 :::2181 :::* LISTEN 24532/java
tcp6 0 0 :::9092 :::* LISTEN 26903/java
tcp6 0 0 :::9093 :::* LISTEN 28672/java
tcp6 0 0 :::9094 :::* LISTEN 28734/java

创建一个replication factor为3的topic:
sh /mq/kafka/bin/kafka-topics.sh --create --zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181 --replication-factor 3 --partitions 1 --topic my-replicated-topic

查看Topic的状态:
$ sh /mq/kafka/bin/kafka-topics.sh --describe -zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181 --topic my-replicated-topic
Topic:my-replicated-topic PartitionCount:1 ReplicationFactor:3 Configs:
Topic: my-replicated-topic Partition: 0 Leader: 3 Replicas: 3,1,2 Isr: 3,1,2

从上面的内容可以看出,该topic包含1个part,replicationfactor为3,且Node3 是leador
解释如下:
"leader" is the node responsible for all reads and writes for the given partition. Each node will be the leader for a randomly selected portion of the partitions.
"replicas" is the list of nodes that replicate the log for this partition regardless of whether they are the leader or even if they are currently alive.
"isr" is the set of "in-sync" replicas. This is the subset of the replicas list that is currently alive and caught-up to the leader.

再来看一下之前创建的test topic, 从下图可以看出没有进行replication
$ sh /mq/kafka/bin/kafka-topics.sh --describe --zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181 --topic test
Topic:test PartitionCount:1 ReplicationFactor:1 Configs:
Topic: test Partition: 0 Leader: 1 Replicas: 1 Isr: 1

多个节点的多个Broker
在bjrenrui0002、bjrenrui0003上分别把下载的文件解压缩到kafka_4,kafka_5,kafka_6两个文件夹中,再将bjrenrui0001上的server.properties配置文件拷贝到这三个文件夹中
vi /mq/kafka_4/config/server.properties
broker.id=4
listeners=PLAINTEXT://:9095
port=9095
host.name=bjrenrui0002
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka_4/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181
zookeeper.connection.timeout.ms=6000

vi /mq/kafka_5/config/server.properties
broker.id=5
listeners=PLAINTEXT://:9096
port=9096
host.name=bjrenrui0002
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka_5/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181
zookeeper.connection.timeout.ms=6000

vi /mq/kafka_6/config/server.properties
broker.id=6
listeners=PLAINTEXT://:9097
port=9097
host.name=bjrenrui0003
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka_6/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181
zookeeper.connection.timeout.ms=6000

vi /mq/kafka_7/config/server.properties
broker.id=7
listeners=PLAINTEXT://:9098
port=9098
host.name=bjrenrui0003
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/mq/kafka_7/logs/kafka-logs
num.partitions=10
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
log.cleaner.enable=false
zookeeper.connect=bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181
zookeeper.connection.timeout.ms=6000

启动服务
sh /mq/kafka/bin/kafka-server-start.sh -daemon /mq/kafka/config/server.properties
sh /mq/kafka_2/bin/kafka-server-start.sh -daemon /mq/kafka_2/config/server.properties
sh /mq/kafka_3/bin/kafka-server-start.sh -daemon /mq/kafka_3/config/server.properties

sh /mq/kafka_4/bin/kafka-server-start.sh -daemon /mq/kafka_4/config/server.properties
sh /mq/kafka_5/bin/kafka-server-start.sh -daemon /mq/kafka_5/config/server.properties

sh /mq/kafka_6/bin/kafka-server-start.sh -daemon /mq/kafka_6/config/server.properties
sh /mq/kafka_7/bin/kafka-server-start.sh -daemon /mq/kafka_7/config/server.properties

检查:
$ netstat -ntlp|grep -E '2181|909[2-9]'|sort -k3

停服务:
sh /mq/kafka/bin/kafka-server-stop.sh
如果使用脚本停broker服务,会把单节点上的多broker服务都停掉,慎重!!!
ps ax | grep -i 'kafka\.Kafka' | grep java | grep -v grep | awk '{print $1}' | xargs kill -SIGTERM

到目前为止,三台物理机上的7个Broker已经启动完毕:
[dreamjobs@bjrenrui0001 bin]$ netstat -ntlp|grep -E '2181|909[2-9]'|sort -k3
(Not all processes could be identified, non-owned process info
will not be shown, you would have to be root to see it all.)
tcp6 0 0 :::2181 :::* LISTEN 24532/java
tcp6 0 0 :::9092 :::* LISTEN 33212/java
tcp6 0 0 :::9093 :::* LISTEN 32997/java
tcp6 0 0 :::9094 :::* LISTEN 33064/java

[dreamjobs@bjrenrui0002 config]$ netstat -ntlp|grep -E '2181|909[2-9]'|sort -k3
(Not all processes could be identified, non-owned process info
will not be shown, you would have to be root to see it all.)
tcp6 0 0 :::2181 :::* LISTEN 6899/java
tcp6 0 0 :::9095 :::* LISTEN 33251/java
tcp6 0 0 :::9096 :::* LISTEN 33279/java

[dreamjobs@bjrenrui0003 config]$ netstat -ntlp|grep -E '2181|909[2-9]'|sort -k3
(Not all processes could be identified, non-owned process info
will not be shown, you would have to be root to see it all.)
tcp 0 0 0.0.0.0:2181 0.0.0.0:* LISTEN 14562/java
tcp 0 0 0.0.0.0:9097 0.0.0.0:* LISTEN 23246/java
tcp 0 0 0.0.0.0:9098 0.0.0.0:* LISTEN 23270/java

producer发送消息:
$ sh /mq/kafka/bin/kafka-console-producer.sh --broker-list bjrenrui0001:9092 --topic my-replicated-topic

consumer接收消息:
$ sh /mq/kafka_4/bin/kafka-console-consumer.sh --zookeeper bjrenrui0001:2181,bjrenrui0002:2181,bjrenrui0003:2181 --topic my-replicated-topic --from-beginning

www.bkjia.comtruehttp://www.bkjia.com/PHPjc/1091524.htmlTechArticle在Centos 上安装Kafka集群 安装准备: 版本 Kafka版本:kafka_2.11-0.9.0.0 Zookeeper版本:zookeeper-3.4.7 Zookeeper 集群:bjrenrui0001 bjrenrui0002 bjrenrui0003 Z...

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