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Kakfa

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：

 

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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
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    tar -zxvf zookeeper-3.4.8.tar

 

  •  配置，切换到conf目录，并更改dataDir和server.x
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    cd /opt/zookeeper/zookeeper-3.4.8/conf
    mv zoo_sample.cfg zoo.cfg

    更改后的zoo.cfg配置如下：

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    # 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：

 

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#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

 

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#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

 

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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：

 

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    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：

 

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############################# 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
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      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。

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      /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。

posted on 2016-11-13 18:34  HackerVirus  阅读(331)  评论(0)  编辑  收藏  举报
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