1.环境说明

JDK    		    1.8 +    【不要安装OpenJdk】
kafka   		2.11-2.1.1
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2. 源码安装

Kafka的安装包下载地址:

https://archive.apache.org/dist/kafka/2.1.1/kafka_2.11-2.1.1.tgz 	
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1.1、上传到服务器/data目录

# 解压 

tar -zxvf kafka_2.11-2.1.1.tgz

# 删除无用的包

rm -f kafka_2.11-2.1.1.tgz

# 重命名

mv  kafka_2.11-2.1.1  kafka

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1.2、修改配置文件

vim /data/kafka/config/server.properties 
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主要修改地方如下:

#broker.id=0  #每台服务器的broker.id都不能相同,这个一定要注释掉

#监听地址 记得改成你部署服务器的IP:9092

listeners=PLAINTEXT://192.168.2.128:9092 

advertised.listeners=PLAINTEXT://192.168.2.128:9092

#日志存放位置，先手动创建 logs 文件夹

log.dirs=/data/log/kafka/logs

#设置zookeeper的连接端口

zookeeper.connect=192.168.2.128:2181,192.168.2.129:2181,192.168.2.130:2181

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修改后如下所示:

# Licensed to the Apache Software Foundation (ASF) under one or more

# contributor license agreements.  See the NOTICE file distributed with

# this work for additional information regarding copyright ownership.

# The ASF licenses this file to You under the Apache License, Version 2.0

# (the "License"); you may not use this file except in compliance with

# the License.  You may obtain a copy of the License at

#

#   http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

 

# see kafka.server.KafkaConfig for additional details and defaults

 

############################# Server Basics #############################

 

# The id of the broker. This must be set to a unique integer for each broker.

#broker.id=0

 

############################# Socket Server Settings #############################

 

# The address the socket server listens on. It will get the value returned from 

# java.net.InetAddress.getCanonicalHostName() if not configured.

#  FORMAT:

# listeners = listener_name://host_name:port

#  EXAMPLE:

#   listeners = PLAINTEXT://your.host.name:9092

#listeners=PLAINTEXT://:9092

 

 

 

 

listeners=PLAINTEXT://192.168.2.128:9092

 

 

# Hostname and port the broker will advertise to producers and consumers. If not set, 

# it uses the value for "listeners" if configured.  Otherwise, it will use the value

# returned from java.net.InetAddress.getCanonicalHostName().

#advertised.listeners=PLAINTEXT://your.host.name:9092

 

 

advertised.listeners=PLAINTEXT://192.168.2.128:9092

 

# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details

#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL

 

# The number of threads that the server uses for receiving requests from the network and sending responses to the network

num.network.threads=3

 

# The number of threads that the server uses for processing requests, which may include disk I/O

num.io.threads=8

 

# The send buffer (SO_SNDBUF) used by the socket server

socket.send.buffer.bytes=102400

 

# The receive buffer (SO_RCVBUF) used by the socket server

socket.receive.buffer.bytes=102400

 

# The maximum size of a request that the socket server will accept (protection against OOM)

socket.request.max.bytes=104857600

 

 

############################# Log Basics #############################

 

# A comma separated list of directories under which to store log files

log.dirs=/data/log/kafka-logs

 

# The default number of log partitions per topic. More partitions allow greater

# parallelism for consumption, but this will also result in more files across

# the brokers.

num.partitions=1

 

# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.

# This value is recommended to be increased for installations with data dirs located in RAID array.

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

 

############################# Internal Topic Settings  #############################

# The replication factor for the group metadata internal topics "consumer_offsets" and "transaction_state"

# For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3.

offsets.topic.replication.factor=1

transaction.state.log.replication.factor=1

transaction.state.log.min.isr=1

 

############################# Log Flush Policy #############################

 

# Messages are immediately written to the filesystem but by default we only fsync() to sync

# the OS cache lazily. The following configurations control the flush of data to disk.

# There are a few important trade-offs here:

#   1. Durability: Unflushed data may be lost if you are not using replication.

#   2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.

#   3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.

# The settings below allow one to configure the flush policy to flush data after a period of time or

# every N messages (or both). This can be done globally and overridden on a per-topic basis.

 

# The number of messages to accept before forcing a flush of data to disk

#log.flush.interval.messages=10000

 

# The maximum amount of time a message can sit in a log before we force a flush

#log.flush.interval.ms=1000

 

############################# Log Retention Policy #############################

 

# The following configurations control the disposal of log segments. The policy can

# be set to delete segments after a period of time, or after a given size has accumulated.

# A segment will be deleted whenever either of these criteria are met. Deletion always happens

# from the end of the log.

 

# The minimum age of a log file to be eligible for deletion due to age

log.retention.hours=168

 

# A size-based retention policy for logs. Segments are pruned from the log unless the remaining

# segments drop below log.retention.bytes. Functions independently of log.retention.hours.

#log.retention.bytes=1073741824

 

# The maximum size of a log segment file. When this size is reached a new log segment will be created.

log.segment.bytes=1073741824

 

# The interval at which log segments are checked to see if they can be deleted according

# to the retention policies

log.retention.check.interval.ms=300000

 

############################# Zookeeper #############################

 

# Zookeeper connection string (see zookeeper docs for details).

# This is a comma separated host:port pairs, each corresponding to a zk

# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".

# You can also append an optional chroot string to the urls to specify the

# root directory for all kafka znodes.

zookeeper.connect=192.168.2.128:2181,192.168.2.129:2181,172.31.3.26:2181

 

# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=6000

 

 

############################# Group Coordinator Settings #############################

 

# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.

# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.

# The default value for this is 3 seconds.

# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.

# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.

group.initial.rebalance.delay.ms=0
 
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1.3、在另外的机器上也做如上的操作

1.4、启动kafka,后台启动方式

在配置好的主机上，分别启动kafka，切换到kafka 目录下

# 后台启动 

cd /data/kafka

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

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查看kafka进程

 ps axu |grep kafka
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1.5、测试kafka

创建一个 message_topic

 bin/kafka-topics.sh --create --zookeeper 192.168.2.128:2181,192.168.2.129:2181,192.168.2.130:2181 --replication-factor 1 --partitions 1 --topic message_topic
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1.6、配置开机自启

1. 在 /lib/systemd/system/ 目录下创建 zookeeper服务和kafka服务 的配置文件

vim kafka.service 
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kafka.service 添加内容：

[Unit]

Description=Apache Kafka server (broker)

After=network.target  zookeeper.service

 

[Service]

Type=simple

Environment="PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/java/jdk-11.0.1/bin"

User=root

Group=root

ExecStart=/opt/kafka/kafka_2.11-2.1.0/bin/kafka-server-start.sh /opt/kafka/kafka_2.11-2.1.0/config/server.properties

ExecStop=/opt/kafka/kafka_2.11-2.1.0/bin/kafka-server-stop.sh

Restart=on-failure

 

[Install]

WantedBy=multi-user.target

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注：以上两个文件 根据自己的 jdk 和 kafka 安装目录相应的修改。

2. 刷新配置

systemctl daemon-reload
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3. kafka服务加入开机自启。

systemctl enable kafka

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4. 使用systemctl启动/关闭/重启 kafka服务

systemctl start/stop/restart  zookeeper/kafka
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注：启动kafka前必须先启动zookeeper 。

 systemctl start zookeeper

 systemctl start kafka

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5. 查看状态

systemctl status zookeeper
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Kafka-manager(CMAK)部署文档

1.环境说明

JDK     		1.8 +    【不要安装OpenJdk】
kafka   		2.11-2.1.1
Kafka-manager   1.3.3.7 
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2.源码安装

安装包地址

#获取源码包

wget https://github.com/yahoo/kafka-manager/archive/1.3.3.7.zip 

#解压

unzip 1.3.3.7.zip

# 删除多余的安装包

rm -f 1.3.3.7.zip

# 改名

mv  CMAK-1.3.3.7 cmak

yum安装sbt(因为kafka-manager需要sbt编译)

 

curl https://bintray.com/sbt/rpm/rpm > bintray-sbt-rpm.repo

 sudo mv bintray--sbt-rpm.repo /etc/yum.repos.d/

 sudo yum install sbt

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修改仓库地址：（sbt 默认下载库文件很慢, 还时不时被打断），我们可以采用阿里云的镜像进行替代

mkdir ~/.sbt ; vim ~/.sbt/repositories
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一定要严格按格式来，每行后面不要有空格

[repositories] 

local

aliyun: http://maven.aliyun.com/nexus/content/groups/public/

typesafe: http://repo.typesafe.com/typesafe/ivy-releases/, [organization]/[module]/(scala[scalaVersion]/)(sbt[sbtVersion]/)[revision]/[type]s/artifact.[ext], bootOnly

sonatype-oss-releases

maven-central

sonatype-oss-snapshots

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查看版本

sbt -version
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编译kafka-manager

cd /data/cmak/

./sbt clean dist

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3. 修改配置文件

# 进入配置文件目录

cd /data/cmak/conf

# 修改配置目录文件

vim application.conf

#修改如下：

修改 kafka-manager.zkhosts和cmak.zkhosts,如下所示:

    kafka-manager.zkhosts="192.168.2.128:2181,192.168.2.129:2181,192.168.2.130:2181"

 这里的地址就是我们 zookeeper 的地址，保存退出

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4. 启动CMAK

Kafka-manager 默认端口是 9000，可以通过 -Dhttp.port,指定端口；-Dconfig.file=conf/application.conf 指定配置文件，命令如下：

    # nohup  是用于 log 输出的，没输入路径 默认当前 nohup.out 文件存放日志

    nohup bin/kafka-manager -Dconfig.file=conf/application.conf -Dhttp.port=9000 &

稍等几秒钟，查看 kafka-manager 是否启动成功：

     ps -ef | grep 9000

Ok，我们到浏览器上，使用 ip:端口 访问

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5. 界面相关

1.1、访问主界面

http://192.168.2.128:9000/
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1.2、添加Cluster

Name可以任意写，建议写集群的ip

Zookeper的集群地址填写

然后其他的可以默认即可

点击save

1.3、查看集群信息


查看topic