一、Zookeeper的搭建方式

Zookeeper安装方式有三种,单机模式集群模式以及伪集群模式

■ 单机模式:Zookeeper只运行在一台服务器上,适合测试环境;
■ 伪集群模式:就是在一台物理机上运行多个Zookeeper 实例;
■ 集群模式:Zookeeper运行于一个集群上,适合生产环境,这个计算机集群被称为一个“集合体”(ensemble)

Zookeeper通过复制来实现高可用性,只要集合体中半数以上的机器处于可用状态,它就能够保证服务继续。为什么一定要超过半数呢?这跟Zookeeper的复制策略有关:zookeeper确保对znode 树的每一个修改都会被复制到集合体中超过半数的机器上。

1.1 Zookeeper的单机模式搭建

下载ZooKeeper:http://pan.baidu.com/s/1pJlwbR9

解压:tar -zxvf zookeeper-3.4.5.tar.gz 重命名:mv zookeeper-3.4.5 zk

配置文件:在conf目录下删除zoo_sample.cfg文件,创建一个配置文件zoo.cfg。

tickTime=2000
dataDir=/usr/local/zk/data
dataLogDir=/usr/local/zk/dataLog        
clientPort=2181

配置环境变量:为了今后操作方便,我们需要对Zookeeper的环境变量进行配置,方法如下在/etc/profile文件中加入如下内容:

export ZOOKEEPER_HOME=/usr/local/zk
export PATH=$PATH:$ZOOKEEPER_HOME/bin

启动ZooKeeper的Server:zkServer.sh start;关闭ZooKeeper的Server:zkServer.sh stop

1.2 Zookeeper的伪集群模式搭建

Zookeeper不但可以在单机上运行单机模式Zookeeper,而且可以在单机模拟集群模式 Zookeeper的运行,也就是将不同节点运行在同一台机器。我们知道伪分布模式下Hadoop的操作和分布式模式下有着很大的不同,但是在集群为分布 式模式下对Zookeeper的操作却和集群模式下没有本质的区别。显然,集群伪分布式模式为我们体验Zookeeper和做一些尝试性的实验提供了很大 的便利。比如,我们在实验的时候,可以先使用少量数据在集群伪分布模式下进行测试。当测试可行的时候,再将数据移植到集群模式进行真实的数据实验。这样不 但保证了它的可行性,同时大大提高了实验的效率。这种搭建方式,比较简便,成本比较低,适合测试和学习,如果你的手头机器不足,就可以在一台机器上部署了 3个server。

1.2.1. 注意事项

在一台机器上部署了3个server,需要注意的是在集群为分布式模式下我们使用的每个配置文档模拟一台机器,也就是说单台机器及上运行多个Zookeeper实例。但是,必须保证每个配置文档的各个端口号不能冲突,除了clientPort不同之外,dataDir也不同。另外,还要在dataDir所对应的目录中创建myid文件来指定对应的Zookeeper服务器实例。

■ clientPort端口:如果在1台机器上部署多个server,那么每台机器都要不同的 clientPort,比如 server1是2181,server2是2182,server3是2183

■ dataDir和dataLogDir:dataDir和dataLogDir也需要区分下,将数据文件和日志文件分开存放,同时每个server的这两变量所对应的路径都是不同的

■ server.X和myid: server.X 这个数字就是对应,data/myid中的数字。在3个server的myid文件中分别写入了0,1,2,那么每个server中的zoo.cfg都配 server.0 server.2,server.3就行了。因为在同一台机器上,后面连着的2个端口,3个server都不要一样,否则端口冲突

下面是我所配置的集群伪分布模式,分别通过zoo1.cfg、zoo2.cfg、zoo3.cfg来模拟由三台机器的Zookeeper集群,代码清单 zoo1.cfg如下:

# 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.
dataDir=/usr/local/zk/data_1 # the port at which the clients will connect
clientPort=2181 #the location of the log file
dataLogDir=/usr/local/zk/logs_1 server.0=localhost:2287:3387
server.1=localhost:2288:3388
server.2=localhost:2289:3389

代码清单  zoo2.cfg如下:

# 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.
dataDir=/usr/local/zk/data_2 # the port at which the clients will connect
clientPort=2182 #the location of the log file
dataLogDir=/usr/local/zk/logs_2 server.0=localhost:2287:3387
server.1=localhost:2288:3388
server.2=localhost:2289:3389

代码清单 zoo3.cfg如下:

# 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.
dataDir=/usr/local/zk/data_3 # the port at which the clients will connect
clientPort=2183 #the location of the log file
dataLogDir=/usr/local/zk/logs_3 server.0=localhost:2287:3387
server.1=localhost:2288:3388
server.2=localhost:2289:3389

1.2.2 启动

在集群为分布式下,我们只有一台机器,按时要运行三个Zookeeper实例。此时,如果在使用单机模式的启动命令是行不通的。此时,只要通过下面三条命令就能运行前面所配置的Zookeeper服务。如下所示:

zkServer.sh start zoo1.cfg
zkServer.sh start zoo2.cfg
zkServer.sh start zoo3.cfg

启动过程,如下图所示:

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" alt="" />启动结果,如下图所示:

aaarticlea/png;base64,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" alt="" />

在运行完第一条指令之后,会出现一些错误异常,产生异常信息的原因是由于Zookeeper服务的每个实例都拥有全局配置信息,他们在启动的时候会随时随地的进行Leader选举操作。此时,第一个启动的Zookeeper需要和另外两个Zookeeper实例进行通信。但是,另外两个Zookeeper实例还没有启动起来,因此就产生了这的异样信息。我们直接将其忽略即可,待把图中“2号”和“3号”Zookeeper实例启动起来之后,相应的异常信息自然会消失。此时,可以通过下面三条命令,来查询。

 zkServer.sh status zoo1.cfg
zkServer.sh status zoo2.cfg
zkServer.sh status zoo3.cfg

Zookeeper服务的运行状态,如下图所示:

aaarticlea/png;base64,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" alt="" width="671" height="183" />

1.3  Zookeeper的集群模式搭建

为了获得可靠地Zookeeper服务,用户应该在一个机群上部署Zookeeper。只要机群上大多数的Zookeeper服务启动了,那么总的Zookeeper服务将是可用的。集群的配置方式,和前两种类似,同样需要进行环境变量的配置。在每台机器上conf/zoo.cf配置文件的参数设置相同

1.3.1 创建myid

在dataDir(/usr/local/zk/data)目录创建myid文件

Server0机器的内容为:0
Server1机器的内容为:1
Server2机器的内容为:2

1.3.2 编写配置文件

在conf目录下删除zoo_sample.cfg文件,创建一个配置文件zoo.cfg,如下所示,代码清单  zoo.cfg中的参数设置

# 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.
dataDir=/usr/local/zk/data # the port at which the clients will connect
clientPort=2183 #the location of the log file
dataLogDir=/usr/local/zk/log server.0=hadoop:2288:3388
server.1=hadoop0:2288:3388
server.2=hadoop1:2288:3388

1.3.3 启动

分别在3台机器上启动ZooKeeper的Server:zkServer.sh start;

二、Zookeeper的配置

Zookeeper的功能特性是通过Zookeeper配置文件来进行控制管理的(zoo.cfg).这样的设计其实有其自身的原因,通过前面对Zookeeper的配置可以看出,在对Zookeeper集群进行配置的时候,它的配置文档是完全相同的。集群伪分布模式中,有少部分是不同的。这样的配置方式使得在部署Zookeeper服务的时候非常方便。如果服务器使用不同的配置文件,必须确保不同配置文件中的服务器列表相匹配。

在设置Zookeeper配置文档时候,某些参数是可选的,某些是必须的。这些必须参数就构成了Zookeeper配置文档的最低配置要求。另外,若要对Zookeeper进行更详细的配置,可以参考下面的内容。

2.1 基本配置

下面是在最低配置要求中必须配置的参数:

(1) client:监听客户端连接的端口。
(2) tickTime:基本事件单元,这个时间是作为Zookeeper服务器之间或客户端与服务器之间维持心跳的时间间隔,每隔tickTime时间就会发送一个心跳;最小 的session过期时间为2倍tickTime   
dataDir:存储内存中数据库快照的位置,如果不设置参数,更新食物的日志将被存储到默认位置。

应该谨慎的选择日志存放的位置,使用专用的日志存储设备能够大大提高系统的性能,如果将日志存储在比较繁忙的存储设备上,那么将会很大程度上影像系统性能。

2.2 高级配置

下面是高级配置参数中可选配置参数,用户可以使用下面的参数来更好的规定Zookeeper的行为:

(1) dataLogdDir

这个操作让管理机器把事务日志写入“dataLogDir”所指定的目录中,而不是“dataDir”所指定的目录。这将允许使用一个专用的日志设备,帮助我们避免日志和快照的竞争。配置如下:

# the directory where the snapshot is stored
   dataDir=/usr/local/zk/data 

(2) maxClientCnxns

这个操作将限制连接到Zookeeper的客户端数量,并限制并发连接的数量,通过IP来区分不同的客户端。此配置选项可以阻止某些类别的Dos攻击。将他设置为零或忽略不进行设置将会取消对并发连接的限制。

例如,此时我们将maxClientCnxns的值设为1,如下所示:

# set maxClientCnxns
   maxClientCnxns=1

启动Zookeeper之后,首先用一个客户端连接到Zookeeper服务器上。之后如果有第二个客户端尝试对Zookeeper进行连接,或者有某些隐式的对客户端的连接操作,将会触发Zookeeper的上述配置。

(3) minSessionTimeoutmaxSessionTimeout

即最小的会话超时和最大的会话超时时间。在默认情况下,minSession=2*tickTime;maxSession=20*tickTime。

2.3 集群配置

(1) initLimit

此配置表示,允许follower(相对于Leaderer言的“客户端”)连接并同步到Leader的初始化连接时间,以tickTime为单位。当初始化连接时间超过该值,则表示连接失败。

(2) syncLimit

此配置项表示Leader与Follower之间发送消息时,请求和应答时间长度。如果follower在设置时间内不能与leader通信,那么此follower将会被丢弃。

(3) server.A=B:C:D

A:其中 A 是一个数字,表示这个是服务器的编号;
B:是这个服务器的 ip 地址;
C:Leader选举的端口;
D:Zookeeper服务器之间的通信端口。

(4) myidzoo.cfg

除了修改 zoo.cfg 配置文件,集群模式下还要配置一个文件 myid,这个文件在 dataDir 目录下,这个文件里面就有一个数据就是 A 的值,Zookeeper 启动时会读取这个文件,拿到里面的数据与 zoo.cfg 里面的配置信息比较从而判断到底是那个 server。

三、搭建ZooKeeper服务器集群

搭建要求:

(1) zk服务器集群规模不小于3个节点
(2) 要求各服务器之间系统时间要保持一致。

3.1 安装配置ZK

(1) 使用WinScp将Zk传输到Hadoop主机上的/usr/local,我用的版本是zookeeper-3.4.5.tar.gz。

(2) 在hadoop的/usr/local目录下,解压缩zk....tar.gz,设置环境变量

 解压缩:在/usr/local目录下,执行命令:tar -zxvf zookeeper-3.4.5.tar.gz,如下图所示:

aaarticlea/png;base64,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" alt="" />

重命名:解压后将文件夹,重命名为zk,执行命令: mv zookeeper-3.4.5 zk,如下图所示:

aaarticlea/png;base64,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" 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设置环境变量:执行命令: vi /etc/profile ,添加 :export ZOOKEEPER_HOME=/usr/local/zk,如图2.3所示的内容。执行命令:source /etc/profile 如下图所示:

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" 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2.2 修改ZK配置文件

(1) 重命名:将/usr/local/zk/conf目录下zoo_sample.cfg,重命名为zoo.cfg,执行命令:mv zoo_sample.cfg zoo.cfg。如如下图所示:

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" 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(2) 查看:在/usr/local/zk/conf目录下,修改文件 vi zoo.cfg,文件内容如下图所示。在该文件中dataDir表示文件存放目录,它的默认设置为/tmp/zookeeper这是一个临时存放目录,每次重启后会丢失,在这我们自己设一个目录,/usr/local/zk/data。

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" alt="" />

(3) 创建文件夹:mkdir /usr/local/zk/data

(4) 创建myid:在data目录下,创建文件myid,值为0;vi myid ;内容为0。

(5) 编辑:编辑该文件,执行vi zoo.cfg ,修改dataDir=/usr/local/zk/data。

新增

server.0=hadoop:2888:3888
server.1=hadoop0:2888:3888
server.2=hadoop1:2888:3888

tickTime :这个时间是作为 Zookeeper 服务器之间或客户端与服务器之间维持心跳的时间间隔,也就是每个 tickTime  时间就会发送一个心跳;

dataDir:顾名思义就是 Zookeeper 保存数据的目录,默认情况下,Zookeeper 将写数据的日志文件也保存在这个目录里;

clientPort:这个端口就是客户端连接 Zookeeper 服务器的端口,Zookeeper 会监听这个端口,接受客户端的访问请求。

当这些配置项配置好后,就可以启动 Zookeeper 了,启动后使用命令echo ruok | nc localhost 2181检查 Zookeeper 是否已经在服务。

2.3 配置其他节点

(1) 把haooop主机的zk目录和/etc/profile目录,复制到hadoop0和hadoop1中。执行命令:

      scp -r /usr/local/zk/ hadoop0:/usr/local/
      scp -r /usr/local/zk/ hadoop1:/usr/local/
      scp /etc/profile hadoop0:/etc/
      scp /etc/profile hadoop1:/etc/

      ssh hadoop0
      suorce /etc/profile
      vi /usr/local/zk/data/myid
      exit

      ssh hadoop1
      suorce /etc/profile
      vi /usr/local/zk/data/myid
      exit

(2) 把hadoop1中相应的myid的值改为1,把hadoop2中相应的myid的值改为2。   

四、启动检验

(1) 启动,在三个节点上分别执行命令zkServer.sh start

hadoop节点

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" alt="" />

hadoop0节点

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" 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hadoop1节点

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" 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(2) 检验,在三个节点上分别执行命令zkServer.sh status,从下面的图中我们会发现hadoop和hadoop1为Follower,hadoop0为Leader。

hadoop节点

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DALRnojP5+uvo6NX4xKG+MiWLhm8urYiMv2pC38sK8D0EsppA9zSsty5TGmX5Gv5g9Mn+QV4KI+u0akc3IDc7LGP9sK4eW0BkAAPCT/NFzrRbV47/xJOunuGIAKrbOOPSkLjoDAABuyKX7dN0JMVfyR9tvCOx9ug6DzgAAgBuCK3oI6AwAALgh/wAi0EetAHzLBwAAAABJRU5ErkJggg==" alt="" />

hadoop0节点

aaarticlea/png;base64,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" 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hadoop1节点

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