Kakfa分布式集群搭建

本位以最新版本kafka_2.11-0.10.1.0版本讲述分布式kafka集群环境的搭建过程。服务器列表：

1
2
3
172.31.10.1
172.31.10.2
172.31.10.3

1.下载kafka安装包

登录kafka官网http://kafka.apache.org/，

  • 单击左侧“Download”按钮
  • 选择对应的版本，版本2.11代表scala版本（kafka是由scala编写的）,0.10.1.0代表kafka的版本
  • 在弹出的窗口中选择下载链接即可

2.下载zookeeper安装包

kafka整体架构如下：

而kafka集群通常会依赖zookeeper的命名服务，单机版的可以直接用kafka安装包的zookeeper，而通常生产环境为保证命名服务的可用性，一般会单独搭建zookeeper集群。服务器不足可以直接和kafka broker共用服务器，zookeeper命名服务队资源要求不高。

登录zookeeper官网http://www.apache.org/dyn/closer.cgi/zookeeper/，一路选择download下载即可，本文选择稳定版zookeeper-3.4.8

3.安装zookeeper集群

将安装包zookeeper-3.4.8.tar上传至服务器172.31.10.1，

  • 解压，目录/opt/zookeeper/zookeeper-3.4.8

    1
    tar -zxvf zookeeper-3.4.8.tar
  • 配置，切换到conf目录，并更改dataDir和server.x

    1
    2
    cd /opt/zookeeper/zookeeper-3.4.8/conf
    mv zoo_sample.cfg zoo.cfg

    更改后的zoo.cfg配置如下：

    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
    21
    22
    23
    24
    25
    26
    27
    28
    29
    30
    31
    # The number of milliseconds of each tick
    tickTime=2000
    # The number of ticks that the initial
    # synchronization phase can take
    initLimit=10
    # The number of ticks that can pass between
    # sending a request and getting an acknowledgement
    syncLimit=5
    # the directory where the snapshot is stored.
    # do not use /tmp for storage, /tmp here is just
    # example sakes.
    dataDir=/var/logs/data/zookeeper
    # the port at which the clients will connect
    clientPort=2181
    server.1=172.31.10.1:2888:3888
    server.2=172.31.10.2:2888:3888
    server.3=172.31.10.3:2888:3888
    # the maximum number of client connections.
    # increase this if you need to handle more clients
    #maxClientCnxns=60
    #
    # Be sure to read the maintenance section of the
    # administrator guide before turning on autopurge.
    #
    # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
    #
    # The number of snapshots to retain in dataDir
    #autopurge.snapRetainCount=3
    # Purge task interval in hours
    # Set to "0" to disable auto purge feature
    #autopurge.purgeInterval=1

    其中dataDir为zookeeper目录，server.x为zookeeper服务器列表的地址和通信端口

  • 远程复制到其他两台服务器，并在dataDir目录下创建myid文件，内容为server.x中的数字。本文设置如下：
1
2
3
4
5
6
7
8
9
10
11
#172.31.10.1执行
cd /var/logs/data/zookeeper
echo "1" >  /var/logs/data/zookeeper/myid
 
#172.31.10.2执行
cd /var/logs/data/zookeeper
echo "2" >  /var/logs/data/zookeeper/myid
 
#172.31.10.3执行
cd /var/logs/data/zookeeper
echo "3" >  /var/logs/data/zookeeper/myid
  • 启动zookeeper集群和验证
1
2
3
4
5
6
7
#在每台服务器上启动zookeeper
cd /opt/zookeeper/zookeeper-3.4.8/bin
/opt/zookeeper/zookeeper-3.4.8/bin/zkServer.sh start
 
#查看服务器上zookeeper节点角色
cd /opt/zookeeper/zookeeper-3.4.8/bin
/opt/zookeeper/zookeeper-3.4.8/bin/zkServer.sh status

4.安装kafka集群

  • 解压，到/opt/kafka/kafka_2.11-0.10.1.0
1
2
tar -zxvf kafka_2.11-0.10.1.0.tgz
cd /opt/kafka/kafka_2.11-0.10.1.0
  • 更改conf/server.properties配置，主要是更改如下几项：
  • 1
    2
    3
    4
    broker.id=1
    host.name=172.31.10.1
    log.dirs=/var/logs/data/kafka
    zookeeper.connect=172.31.10.1:2181,172.31.10.2:2181,172.31.10.2:2181/kafka

　　注意每台服务器上的broker.id均不同，需要保证整个集群中唯一性

　　更改后的server.properties如下：

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
############################# Server Basics #############################
 
# The id of the broker. This must be set to a unique integer for each broker.
broker.id=1
 
# The port the socket server listens on
port=9092
# Hostname the broker will bind to. If not set, the server will bind to all interfaces
host.name=172.31.10.1
 
# Switch to enable topic deletion or not, default value is false
#delete.topic.enable=true
 
############################# 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 = security_protocol://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://: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
 
# The number of threads handling network requests
num.network.threads=3
 
# The number of threads doing 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 seperated list of directories under which to store log files
log.dirs=/var/logs/data/kafka
 
# 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
 
############################# 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 exceessive 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
log.retention.hours=168
 
# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining
# segments don't drop below log.retention.bytes.
#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=172.31.10.1:2181,172.31.10.2:2181,172.31.10.2:2181/kafka
 
# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000
  • 同步到其他服务器，更改broker.id
    • kafka启动和验证

      1
      2
      cd /opt/kafka/kafka_2.11-0.10.1.0/bin
      nohup /opt/kafka/kafka_2.11-0.10.1.0/bin/kafka-server-start.sh config/server.properties &

      创建topic，如能成功创建topic则表示集群安装完成，也可以用jps命令查看kafka进程是否存在。

      1
      /opt/kafka/kafka_2.11-0.10.1.0/bin/kafka-topics.sh --create --zookeeper 172.31.10.1:2181,172.31.10.2:2181,172.31.10.2:2181/kafka --replication-factor 3 --partitions 1 --topic test

      至此，kafka分布式集群安装完成，后续将深入讲解kafka其他内容。

Kakfa的更多相关文章

  1. 【原创】Kakfa cluster包源代码分析

    kafka.cluster包定义了Kafka的基本逻辑概念:broker.cluster.partition和replica——这些是最基本的概念.只有弄懂了这些概念,你才真正地使用kakfa来帮助完 ...

  2. kakfa源码编译打包

    kakfa项目编译: cd /home/zhaofuxin/workspace/kafka-0.8.2.1-src ./gradlew releaseTarGz 会出现如下异常: zhaofuxin@ ...

  3. Kakfa揭秘 Day9 KafkaReceiver源码解析

    Kakfa揭秘 Day9 KafkaReceiver源码解析 上一节课中,谈了Direct的方式来访问kafka的Broker,今天主要来谈一下,另一种方式,也就是KafkaReceiver. 初始化 ...

  4. Kakfa揭秘 Day8 DirectKafkaStream代码解析

    Kakfa揭秘 Day8 DirectKafkaStream代码解析 今天让我们进入SparkStreaming,看一下其中重要的Kafka模块DirectStream的具体实现. 构造Stream ...

  5. Kakfa揭秘 Day7 Producer源码解密

    Kakfa揭秘 Day7 Producer源码解密 今天我们来研究下Producer.Producer的主要作用就是向Kafka的brokers发送数据.从思考角度,为了简化思考过程,可以简化为一个单 ...

  6. Kakfa揭秘 Day6 Consumer源码解密

    Kakfa揭秘 Day6 Consumer源码解密 今天主要分析下Consumer是怎么来工作的,今天主要是例子出发,对整个过程进行刨析. 简单例子 Example中Consumer.java是一个简 ...

  7. Kakfa揭秘 Day5 SocketServer下的NIO

    Kakfa揭秘 Day5 SocketServer下的NIO 整个Kafka底层都是基于NIO来进行开发的,这种消息机制可以达到弱耦合的效果,同时在磁盘有很多数据时,会非常的高效,在gc方面有非常大的 ...

  8. Kakfa揭秘 Day4 Kafka中分区深度解析

    Kakfa揭秘 Day4 Kafka中分区深度解析 今天主要谈Kafka中的分区数和consumer中的并行度.从使用Kafka的角度说,这些都是至关重要的. 分区原则 Partition代表一个to ...

  9. Kakfa揭秘 Day3 Kafka源码概述

    Kakfa揭秘 Day3 Kafka源码概述 今天开始进入Kafka的源码,本次学习基于最新的0.10.0版本进行.由于之前在学习Spark过程中积累了很多的经验和思想,这些在kafka上是通用的. ...

随机推荐

  1. 用PHP实现守护进程任务后台运行与多线程（php-resque使用说明）

    消息队列处理后台任务带来的问题 项目中经常会有后台运行任务的需求,比如发送邮件时,因为要连接邮件服务器,往往需要5-10秒甚至更长时间,如果能先给用户一个成功的提示信息,然后在后台慢慢处理发送邮件的操 ...

  2. Hbase rest方式获取指定key范围内的值

    代码如下: <?php class Monitor_Hbase{ private $rest_host = "http://10.99.90.39:8130/";//rest ...

  3. hbase基本结构

    HBASE  基本结构一.overview1. hbase <=> NOSQL     不错,hbase 就是某种类型的nosql 数据库,唯一的区别就是他支持海量的数据.    hbas ...

  4. 新版本的pdo会有这个问题

    新版本的pdo会有这个问题: General error: 2014 Cannot execute queries while other unbuffered queries are active. ...

  5. shell脚本中切换用户并执行命令

    1.切换用户并执行命令 su 用户名 -c "命令" 2.切换用户并执行脚本 su 用户名 -s /bin/bash 脚本路径 3.切换用户并执行命令集su 用户名 << ...

  6. 类名 对象名 =new 类名();

    类名 对象名 =new 类名();该怎么理解 类名 对象名 =new 类名();=左边:创建一个类的对象=右边:调用这个类的构造函数初始化对象,类名()这个是构造函数,用来做初始化的.

  7. c语言学习的第四天2

    上图显示了float和double的精度,精度:就是指数值的精确程度,浮点类型可表示的数值范围很大,但只有几位是精确的,可以通过小 数所占的位数来获取,float小数部分最多能有7位有效数字,但绝对能 ...

  8. 【积硅计划】html标签

    一.基础     在html中,标签通常是由开始标签和结束标签组成,开始标签用<标签名>,结束标签用</标签名>      元素是指包括开始标签和结束标签在内的整体,内容是指出 ...

  9. Android环境配置Sencha Touch

    转自http://www.phonegap100.com/portal.php?mod=view&aid=19 作为你开发的一部分,为安卓设备开发的 Sencha Touch框架应该在安卓虚拟 ...

  10. POJ--1416

    #include <stdio.h> #include <stdlib.h> ]={};//代表有没有切割的数组 ;//输入的要被切割的数字 ]={};//切完输出的数组成的数 ...