Zookeeper的分布式安装和API介绍:

安装教程

在datanode1、datanode2和datanode3三个节点上部署Zookeeper。

步骤

解压zookeeper安装包到/opt/module/目录下

tar -zxvf zookeeper-3.4.10.tar.gz -C /opt/module/

/opt/module/zookeeper-3.4.10/这个目录下创建zkData

mkdir -p zkData
重命名/opt/module/zookeeper-3.4.10/conf这个目录下的zoo_sample.cfg为zoo.cfg
mv zoo_sample.cfg zoo.cfg

配置zoo.cfg文件

#######################cluster##########################
server.2=datanode1:2888:3888
server.3=datanode2:2888:3888
server.4=datanode3:2888:3888

server.A=B:C:D。

A是一个数字,表示这个是第几号服务器;

B是这个服务器的ip地址或者主机名;

C是这个服务器与集群中的Leader服务器交换信息的端口;

D是万一集群中的Leader服务器挂了,需要一个端口来重新进行选举,选出一个新的Leader,而这个端口就是用来执行选举时服务器相互通信的端口。

集群模式下配置一个文件myid,这个文件在dataDir目录下,这个文件里面有一个数据就是A的值,Zookeeper启动时读取此文件,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哪个server。

  1. 在/opt/module/zookeeper-3.4.10/zkData目录下创建一个myid的文件
touch myid
  1. 编辑myid文件,各个节点的值根据配置文件zoo.cfg来

  2. 拷贝配置好的zookeeper到其他机器上并分别修改myid文件中内容为3、4

touch myid

启动脚本

#!/bin/sh
echo "starting zookeeper server..."
hosts="datanode1 datanode2 datanode3"
for host in $hosts
do
ssh $host "source /etc/profile; /opt/module/zookeeper-3.4.10/bin/zkServer.sh start"
done

停止脚本换成stop即可

  1. 查看zhua状态
zkServer.sh status

客户端命令行操作

命令基本语法 功能描述
help 显示所有操作命令
ls path [watch] 使用 ls 命令来查看当前znode中所包含的内容
ls2 path [watch] 查看当前节点数据并能看到更新次数等数据
create 普通创建 -s 含有序列 -e 临时(重启或者超时消失)
get path [watch] 获得节点的值
set 设置节点的具体值
stat 查看节点状态
delete 删除节点
rmr 递归删除节点

Shell命令

启动客户端

bin/zkCli.sh

显示所有操作命令

[zk: localhost:2181(CONNECTED) 0] help
ZooKeeper -server host:port cmd args
connect host:port
get path [watch]
ls path [watch]
set path data [version]
rmr path
delquota [-n|-b] path
quit
printwatches on|off
create [-s] [-e] path data acl
stat path [watch]
close
ls2 path [watch]
history
listquota path
setAcl path acl
getAcl path
sync path
redo cmdno
addauth scheme auth
delete path [version]
setquota -n|-b val path

查看当前znode中所包含的内容

[zk: localhost:2181(CONNECTED) 1] ls /
[isr_change_notification, test, hbase, zookeeper, admin, consumers, cluster, config, latest_producer_id_block,
kafka-manager, brokers, controller_epoch]

查看当前节点数据并能看到更新次数等数据

[zk: localhost:2181(CONNECTED) 2]  ls2 /
[isr_change_notification, test, hbase, zookeeper, admin, consumers, cluster, config, latest_producer_id_block, kafka-manager, brokers, controller_epoch]
cZxid = 0x0
ctime = Thu Jan 01 08:00:00 CST 1970
mZxid = 0x0
mtime = Thu Jan 01 08:00:00 CST 1970
pZxid = 0x1200000104
cversion = 100
dataVersion = 0
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 0
numChildren = 12

创建普通节点

[zk: localhost:2181(CONNECTED) 3]  create /app1 "hello app1"
Created /app1
[zk: localhost:2181(CONNECTED) 4] create /app1/server101 "192.168.1.101"
Created /app1/server101

获得节点的值

[zk: localhost:2181(CONNECTED) 5] get /app1
hello app1
cZxid = 0x120000010a
ctime = Sat Jan 05 13:34:15 CST 2019
mZxid = 0x120000010a
mtime = Sat Jan 05 13:34:15 CST 2019
pZxid = 0x120000010b
cversion = 1
dataVersion = 0
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 10
numChildren = 1
[zk: localhost:2181(CONNECTED) 6] get /app1/server101
192.168.1.101
cZxid = 0x120000010b
ctime = Sat Jan 05 13:34:46 CST 2019
mZxid = 0x120000010b
mtime = Sat Jan 05 13:34:46 CST 2019
pZxid = 0x120000010b
cversion = 0
dataVersion = 0
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 13
numChildren = 0

创建短暂节点

[zk: localhost:2181(CONNECTED) 7] create -e /app-emphemeral 8888
Created /app-emphemeral
## 在当前客户端是能查看到的
[zk: localhost:2181(CONNECTED) 8] ls /
[app1, isr_change_notification, test, hbase, zookeeper, admin, consumers, cluster, config, latest_producer_id_block, kafka-manager, app-emphemeral, brokers, controller_epoch]
## 退出当前客户端然后再重启客户端
[zk: localhost:2181(CONNECTED) 9] quit
Quitting...
2019-01-06 17:43:54,558 [myid:] - INFO [main:ZooKeeper@684] - Session: 0x1681924b94d0014 closed
2019-01-06 17:43:54,564 [myid:] - INFO [main-EventThread:ClientCnxn$EventThread@519] - EventThread shut down for session: 0x1681924b94d0014
## 重启客户端
[hadoop@datanode1 bin]$ ./zkCli.sh
....
2019-01-06 17:46:04,711 [myid:] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@1299] - Session establishment complete on server localhost/127.0.0.1:2181, sessionid = 0x1681924b94d0015, negotiated timeout = 30000 WATCHER:: WatchedEvent state:SyncConnected type:None path:null
## 再次查看根目录下短暂节点已经删除 [zk: localhost:2181(CONNECTED) 0] ls /
[app1, isr_change_notification, test, hbase, zookeeper, admin, consumers, cluster, config, latest_producer_id_block, kafka-manager, brokers, controller_epoch]

创建带序号的节点

## 先创建一个普通的根节点app2
[zk: localhost:2181(CONNECTED) 1] create /app2 "app2"
Created /app2
## 创建带序号的节点
[zk: localhost:2181(CONNECTED) 2] create /app2 "app2"
[zk: localhost:2181(CONNECTED) 3] create -s /app2/aa 888
Created /app2/aa0000000000
[zk: localhost:2181(CONNECTED) 4] create -s /app2/bb 888
Created /app2/bb0000000001
[zk: localhost:2181(CONNECTED) 5] create -s /app2/cc 888
Created /app2/cc0000000002
##如果原节点下有1个节点,则再排序时从1开始,以此类推。
[zk: localhost:2181(CONNECTED) 6] create -s /app1/aa 888
Created /app1/aa0000000001

修改节点数据值

[zk: localhost:2181(CONNECTED) 8] set /app1 999
cZxid = 0x120000010a
ctime = Sat Jan 05 13:34:15 CST 2019
mZxid = 0x1200000116
mtime = Sat Jan 05 14:12:56 CST 2019
pZxid = 0x1200000114
cversion = 3
dataVersion = 1
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 3
numChildren = 3

节点的值变化监听

在datanode1主机上注册监听/app1节点数据变化

[zk: localhost:2181(CONNECTED) 9] get /app1 watch
999
cZxid = 0x120000010a
ctime = Sat Jan 05 13:34:15 CST 2019
mZxid = 0x1200000116
mtime = Sat Jan 05 14:12:56 CST 2019
pZxid = 0x1200000114
cversion = 3
dataVersion = 1
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 3
numChildren = 3

在datanode2主机上修改/app1节点的数据

[zk: localhost:2181(CONNECTED) 0] set /app1  777
cZxid = 0x120000010a
ctime = Sat Jan 05 13:34:15 CST 2019
mZxid = 0x1200000118
mtime = Sat Jan 05 14:14:43 CST 2019
pZxid = 0x1200000114
cversion = 3
dataVersion = 2
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 3
numChildren = 3

datanode1主机上的变化

[zk: localhost:2181(CONNECTED) 10]
WATCHER:: WatchedEvent state:SyncConnected type:NodeDataChanged path:/app1

节点的子节点变化监听(路径变化)

在datanode1主机上注册监听/app1节点的子节点变化

[zk: localhost:2181(CONNECTED) 0] ls /app1 watch
[aa0000000001, server101, cc0000000002]

在datanode2主机/app1节点上创建子节点

[zk: localhost:2181(CONNECTED) 1] create /app1/bb 666
Created /app1/bb

观察datanode1主机收到子节点变化的监听

WATCHER::
WatchedEvent state:SyncConnected type:NodeChildrenChanged path:/app1

删除节点

[zk: localhost:2181(CONNECTED) 2] delete /app1/bb

递归删除节点

[zk: localhost:2181(CONNECTED) 3] rmr /app2

查看节点状态

[zk: localhost:2181(CONNECTED) 1]  stat /app1
cZxid = 0x120000010a
ctime = Sat Jan 05 13:34:15 CST 2019
mZxid = 0x1200000118
mtime = Sat Jan 05 14:14:43 CST 2019
pZxid = 0x120000011d
cversion = 5
dataVersion = 2
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 3
numChildren = 3

API应用

IDEA环境搭建

  1. 创建一个Maven工程

  2. 添加pom文件

<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>RELEASE</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.8.2</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.zookeeper/zookeeper -->
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.10</version>
</dependency>
</dependencies>

log4j.propertie

log4j.rootLogger=INFO, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d %p [%c] - %m%n
log4j.appender.logfile=org.apache.log4j.FileAppender
log4j.appender.logfile.File=target/spring.log
log4j.appender.logfile.layout=org.apache.log4j.PatternLayout
log4j.appender.logfile.layout.ConversionPattern=%d %p [%c] - %m%n

创建ZooKeeper客户端

public class ZKDemo {
private String connect = "datanode1:2181,datanode2:2181,datanode3:2181";
private int timeout = 2000;
private ZooKeeper zooKeeper = null; //获取Zookeeper的客户端
@Before
public void getClient() throws Exception {
zooKeeper = new ZooKeeper(connect, timeout, new Watcher() {
//接收到Zookeeper发来的通知以后做出的处理措施(自己处理的业务逻辑)
@Override
public void process(WatchedEvent watchedEvent) {
System.out.println(watchedEvent.getType() + "-----" + watchedEvent.getPath());
}
});
}

创建子节点

//创建节点
@Test
public void testCreate() throws KeeperException, InterruptedException {
// 参数1:要创建的节点的路径; 参数2:节点数据 ; 参数3:节点权限 ;参数4:节点的类型
String path = zooKeeper.create(
"/cainiaoqingfeng",
"bigtadaLearing".getBytes(),
ZooDefs.Ids.OPEN_ACL_UNSAFE,
CreateMode.PERSISTENT);
System.out.println(path);
}
[zk: localhost:2181(CONNECTED) 2] ls /
[test, cainiaoqingfeng, consumers, latest_producer_id_block, controller_epoch, app2, app1, isr_change_notification,
hbase, admin, zookeeper, config, cluster, kafka-manager, brokers]

判断节点是否存在

public void testExist() throws KeeperException, InterruptedException {
Stat stat = zooKeeper.exists("/cainiaoqingfeng", false);
System.out.println(stat==null?"not exist":"exist");
}

循环监听

      try {
List<String> children = zooKeeper.getChildren("/cainiaoqingfeng", true);
for (String child : children) {
System.out.println(child);
} } catch (Exception e) {
e.printStackTrace();
}
//在创建Zookeeper客户端的代码中加此以上代码

改变节点的内容

public void testSet() throws KeeperException, InterruptedException {
Stat stat = zooKeeper.setData("/cainiaoqingfeng/bigdata", "I love bigdata".getBytes(), -1); }
[zk: localhost:2181(CONNECTED) 20] get /cainiaoqingfeng/bigdata
I love bigdata
cZxid = 0x1200000126
ctime = Sat Jan 05 16:11:19 CST 2019
mZxid = 0x1200000136
mtime = Sat Jan 05 16:27:51 CST 2019
pZxid = 0x1200000126
cversion = 0
dataVersion = 1
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 14

监听器原理

过程

  1. 先要有一个main()线程
  2. 在main线程中创建Zookeeper客户端,这时就会创建两个线程,一个负责网络连接通信(connet),一个负责监听(listener)。
  3. 通过connect线程将注册的监听事件发送给Zookeeper。
  4. 在Zookeeper的注册监听器列表中将注册的监听事件添加到列表中。
  5. Zookeeper监听到有数据或路径变化,就会将这个消息发送给listener线程。
  6. listener线程内部调用了process()方法。

常见监听

2.常见的监听

(1)监听节点数据的变化:

get path [watch]

(2)监听子节点增减的变化

ls path [watch]

写数据

ZooKeeper 的写数据流程主要分为以下几步,如图所示:

流程

  1. 比如 Client 向 ZooKeeper 的 Server1 上写数据,发送一个写请求。
  2. 如果Server1不是Leader,那么Server1 会把接受到的请求进一步转发给Leader,因为每个ZooKeeper的Server里面有一个是Leader。这个Leader 会将写请求广播给各个Server,比如Server1和Server2, 各个Server写成功后就会通知Leader。
  3. 当Leader收到大多数 Server 数据写成功了,那么就说明数据写成功了。如果这里三个节点的话,只要有两个节点数据写成功了,那么就认为数据写成功了。写成功之后,Leader会告诉Server1数据写成功了。
  4. Server1会进一步通知 Client 数据写成功了,这时就认为整个写操作成功。ZooKeeper 整个写数据流程就是这样的。

服务器节点动态上下线

ZkServer

import org.apache.zookeeper.*;

import java.io.IOException;

public class zkServer {
private static String connect = "datanode1:2181,datanode2:2181,datanode3:2181"; //写自己的集群的ip和端口
private static int timeout = 2000;
private static ZooKeeper zooKeeper = null;
private static String parentPahth = "/servers/"; public static void main(String[] args) throws IOException, KeeperException, InterruptedException {
//获取Zookeeper的客户端
getClient();
//启动注册
registsServer(args[0]);
//业务逻辑
business(args[0]);
} private static void business(String hostname) throws InterruptedException {
System.out.println(hostname+" is working...");
Thread.sleep(Long.MAX_VALUE); } private static void registsServer(String hostname) throws KeeperException, InterruptedException {
//创建临时节点
String path = zooKeeper.create(parentPahth + "server",
hostname.getBytes(),
ZooDefs.Ids.OPEN_ACL_UNSAFE,
CreateMode.EPHEMERAL_SEQUENTIAL);
System.out.println(hostname+" is online "+path);
Thread.sleep(Long.MAX_VALUE);
} private static void getClient() throws IOException {
zooKeeper = new ZooKeeper(connect, timeout, new Watcher() {
@Override
public void process(WatchedEvent watchedEvent) {
System.out.println(watchedEvent.getType() + "**********" + watchedEvent.getPath());
}
});
}
}

ZkClient

import org.apache.zookeeper.*;

import java.io.IOException;

public class zkServer {
private static String connect = "datanode1:2181,datanode2:2181,datanode3:2181"; //写自己的集群的ip和端口
private static int timeout = 2000;
private static ZooKeeper zooKeeper = null;
private static String parentPahth = "/servers/"; public static void main(String[] args) throws IOException, KeeperException, InterruptedException {
//获取Zookeeper的客户端
getClient();
//启动注册
registsServer(args[0]);
//业务逻辑
business(args[0]);
} private static void business(String hostname) throws InterruptedException {
System.out.println(hostname+" is working...");
Thread.sleep(Long.MAX_VALUE); } private static void registsServer(String hostname) throws KeeperException, InterruptedException {
//创建临时节点
String path = zooKeeper.create(parentPahth + "server",
hostname.getBytes(),
ZooDefs.Ids.OPEN_ACL_UNSAFE,
CreateMode.EPHEMERAL_SEQUENTIAL);
System.out.println(hostname+" is online "+path);
Thread.sleep(Long.MAX_VALUE);
} private static void getClient() throws IOException {
zooKeeper = new ZooKeeper(connect, timeout, new Watcher() {
@Override
public void process(WatchedEvent watchedEvent) {
System.out.println(watchedEvent.getType() + "**********" + watchedEvent.getPath());
}
});
}
}

ZooKeeper的安装和API的更多相关文章

  1. Zookeeper的安装的配置

    详见:http://blog.yemou.net/article/query/info/tytfjhfascvhzxcyt192 安装和配置详解 本文介绍的 Zookeeper 是以 3.2.2 这个 ...

  2. ZooKeeper的安装与部署

    本文讲述如何安装和部署ZooKeeper. 一.系统要求 ZooKeeper可以运行在多种系统平台上面,表1展示了zk支持的系统平台,以及在该平台上是否支持开发环境或者生产环境. 表1:ZooKeep ...

  3. Zookeeper的java客户端API使用方法(五)

    前面几篇博文,我们简单的介绍了一下zookeeper,如何安装zookeeper集群,以及如何使用命令行等.这篇博文我们重点来看下Zookeeper的java客户端API使用方式. 创建会话 客户端可 ...

  4. windows下 zookeeper dubbo 安装+配置+demo 详细图文教程

    Java集群优化——dubbo+zookeeper构建 互联网的发展,网站应用的规模不断扩大,常规的垂直应用架构已无法应对,分布式服务架构以及流动计算架构势在必行,Dubbo是一个分布式服务框架,在这 ...

  5. zookeeper的安装使用

    转载从:https://blog.csdn.net/shenlan211314/article/details/6170717 一.zookeeper 介绍 ZooKeeper 是一个为分布式应用所设 ...

  6. zookeeper的安装(图文详解。。。来点击哦!)

    zookeeper的安装(图文详解...来点击哦!) 一.服务器的配置 三台服务器: 192.168.83.133   sunshine 192.168.83.134   sunshineMin 19 ...

  7. (原) 1.1 Zookeeper单机安装

    本文为原创文章,转载请注明出处,谢谢 zookeeper 单机安装配置 1.安装前准备 linux系统(此文环境为Centos6.5) Zookeeper安装包,官网https://zookeeper ...

  8. ZooKeeper的安装、配置、启动和使用(一)——单机模式

    ZooKeeper的安装.配置.启动和使用(一)——单机模式 ZooKeeper的安装非常简单,它的工作模式分为单机模式.集群模式和伪集群模式,本博客旨在总结ZooKeeper单机模式下如何安装.配置 ...

  9. ZooKeeper 的安装和配置---单机和集群

    如题本文介绍的是ZooKeeper 的安装和配置过程,此过程非常简单,关键是如何应用(将放在下节及相关节中介绍). 单机安装.配置: 安装非常简单,只要获取到 Zookeeper 的压缩包并解压到某个 ...

随机推荐

  1. Meandering Through the Maze of MFC Message and Command Routing MFC消息路由机制分析

    Meandering Through the Maze of MFC Message and Command Routing Paul DiLascia Paul DiLascia is a free ...

  2. mysql之 slow log 慢查询日志

    一. 相关参数: • slow_query_log ◦ 是否开启慢查询日志 • slow_query_log_file ◦ 慢查询日志文件名, 在 my.cnf 我们已经定义为slow.log,默认是 ...

  3. ELK-head

    Head从elastic5开始只是支持单独服务器,不能够在通过 elasticsearch/bin/plugin -install mobz/elasticsearch-head 这样简单的方式安装插 ...

  4. spring-AOP框架(基于配置文件的方式配置AOP)

    .xml: ref-指向,order-指定优先级

  5. Hadoop HDFS元数据目录分析

    元数据目录分析 在第一次部署好Hadoop集群的时候,我们需要在NameNode(NN)节点上格式化磁盘: $HADOOP_HOME/bin/hdfs namenode -format 格式化完成之后 ...

  6. 修改postfix smtp端口,防止公网扫描浪费你的服务器流量

    邮件服务器的默认发送邮件端口是25,一些ISP会封锁25端口防止垃圾邮件的发送,这样就导致不能使用Foxmail.outlook等邮件客户端发送邮件.修改默认smtp端口就可以解决这个问题.下面的方法 ...

  7. mycat配置安装测试

    https://www.jianshu.com/p/26513f428ecf #下载安装#java jdk mkdir /usr/local/java/tar -zxvf jdk-7u80-linux ...

  8. RichEdit选中文字右键菜单的实现

    procedure TForm1.RichEdit1MouseDown(Sender: TObject; Button: TMouseButton; Shift: TShiftState; X, Y: ...

  9. javascript 判断是否移动客户端 userAgent isMobile

    var isMobile = { Android: function () { return (/android/i.test(navigator.userAgent.toLowerCase())); ...

  10. CAD求交点函数

    public void IntersectWith( Entity entityPointer, Intersect intersectType, Point3dCollection points, ...