转载

Linux Centos7 环境基于Docker部署Zookeeper服务搭建实战

配置Zookeeper安装目录

在宿主机配置zookeeper安装目录：/docker/develop/zookeeper

并且在文件夹创建 data 和logs 目录：

mkdir -p /docker/develop/zookeeper/data

mkdir -p /docker/develop/zookeeper/logs

[root@centos-knight ~]# cd /docker/develop/zookeeper
[root@centos-knight zookeeper]# mkdir -p /docker/develop/zookeeper/data
[root@centos-knight zookeeper]# mkdir -p /docker/develop/zookeeper/logs

授权文件目录：chmod -R 777 /docker/develop/zookeeper/

[root@centos-knight zookeeper]# chmod -R 777 /docker/develop/zookeeper/ 
[root@centos-knight zookeeper]#

安装和部署Zookeeper

拉取zookeeper镜像：docker pull zookeeper

[root@centos-knight zookeeper]# docker pull zookeeper
Using default tag: latest
latest: Pulling from library/zookeeper
Digest: sha256:6b6b5f7fb6a47d2b311df5af1718af5a425a679dbb844d77913fa68d1a8bf0fd
Status: Image is up to date for zookeeper:latest
docker.io/library/zookeeper:latest
[root@centos-knight zookeeper]#

临时安装Zookeeper服务：zookeeper-tmp-server

docker run -itd -p 2181:2181 --restart always --name=zookeeper-tmp-server  --privileged=true /
-v /docker/develop/zookeeper/data:/data /
-v /docker/develop/zookeeper/datalog:/datalog /
-v /docker/develop/zookeeper/logs:/logs /
-e "ZOO_STANDALONE_ENABLED=true" /
-e "TZ=Asia/Shanghai" /
-e "ZOO_4LW_COMMANDS_WHITELIST=*" /
-e "ZOO_AUTOPURGE_SNAPRETAINCOUNT=5" /
-e "ZOO_AUTOPURGE_PURGEINTERVAL=24" /
-e "ZOO_MAX_CLIENT_CNXNS=64" /
-e "ZOO_TICK_TIME=2000" /
-e "ZOO_INIT_LIMIT=100" /
-e "ZOO_SYNC_LIMIT=5" /
zookeeper:latest

复制zookeeper-tmp-server的conf到/docker/develop/zookeeper：

[root@centos-knight ~]# docker ps
CONTAINER ID  IMAGE   COMMAND   CREATED             STATUS   PORTS   NAMES
12947bdadd84  zookeeper:latest "/docker-entrypoint.…"   36 hours ago  Up 36 hours  2888/tcp, 3888/tcp, 0.0.0.0:2181->2181/tcp, 8080/tcp   zookeeper-develop-server
[root@centos-knight ~]# docker cp 12947bdadd84:/conf /docker/develop/zookeeper/

编写zookeeper的zoo.cfg配置文件：

tickTime=2000
initLimit=100
syncLimit=5
dataDir=/data
dataLogDir=/datalog
clientPort=2181
quorumListenOnAllIPs=true
preAllocSize=64M
globalOutstandingLimit=100000
snapCount=50000
maxClientCnxns=64
minSessionTimeout=4000
maxSessionTimeout=40000
4lw.commands.whitelist=*
standaloneEnabled=true
admin.enableServer=true
server.1=0.0.0.0:2888:3888
tcpKeepAlive=true
ipReachableTimeout=0
cnxTimeout=3
electionAlg=3
autopurge.snapRetainCount=5
autopurge.purgeInterval=24
#忽略ACL验证
skipACL=yes
forceSync=yes
fsync.warningthresholdms=50

编写正式安装Dcoekr命令：

docker run -itd -p 2181:2181 -p 2888:2888 -p 3888:3888 --restart always --name=zookeeper-develop-server  --privileged=true /
-v /docker/develop/zookeeper/conf/zoo.cfg:/conf/zoo.cfg /
-v /docker/develop/zookeeper/data:/data /
-v /docker/develop/zookeeper/logs:/datalog /
-e "TZ=Asia/Shanghai" /
-e "JAVA_OPTS=-server -Xms512m -Xmx512m -Xmn256m -Duser.home=/opt -XX:MetaspaceSize=128m -XX:MaxMetaspaceSize=320m -XX:+AlwaysPreTouch -XX:-UseBiasedLocking" /
zookeeper:latest

部署Dubbo客户端

部署安装dubbo-admin：

docker run -itd --restart always --privileged=true  --name dubbo-devleop-ops -p 8083:8080  -e admin.registry.address="zookeeper://IP:2181" -e admin.config-center="zookeeper://IP:2181" -e admin.metadata-report.address="zookeeper://IP:2181" -e "JAVA_OPTS=-server -Xms512m -Xmx512m -Xmn256m -Duser.home=/opt -XX:MetaspaceSize=128m -XX:MaxMetaspaceSize=320m -XX:+AlwaysPreTouch -XX:-UseBiasedLocking" -e TZ="Asia/Shanghai" apache/dubbo-admin:latest

基于Springboot整合和使用Dubbo+Zookeeper

创建工程：pivotal-cloud-dependencies [统一管理工程版本依赖资源]

Linux Centos7 环境基于Docker部署Zookeeper服务搭建实战

一般都是使用Maven作为构建工具，这里便只需在pom.xml中添加如下依赖即可：

在<properties>标签定义依赖版本号：

<!--spring-boot dubbo setting -->
<dubbo.version>2.7.3</dubbo.version>
<spring-boot-dubbo.version>2.7.3</spring-boot-dubbo.version>
<!--spring-boot zookeeper setting -->
<zookeeper.version>3.5.6</zookeeper.version>
<curator.version>4.2.0</curator.version>

在<dependencyManagement><dependencies>标签添加如下内容：

<!--spring-boot dubbo setting  begin-->
    <dependency>
     <groupId>org.apache.dubbo</groupId>
     <artifactId>dubbo</artifactId>
     <version>${dubbo.version}</version>
     <exclusions>
      <!--exclusion spring-->
       <exclusion>
          <groupId>org.springframework</groupId>
          <artifactId>spring</artifactId>
       </exclusion>
     <!--exclusion servlet-api-->
       <exclusion>
          <groupId>javax.servlet</groupId>
          <artifactId>servlet-api</artifactId>
       </exclusion>
    <!--exclusion log4j-->
       <exclusion>
           <groupId>log4j</groupId>
           <artifactId>log4j</artifactId>
       </exclusion>
    <!--exclusion netty-->
        <exclusion>
            <groupId>io.netty</groupId>
            <artifactId>netty-all</artifactId>
      </exclusion>
     </exclusions>
  </dependency>
  <dependency>
       <groupId>org.apache.dubbo</groupId>
       <artifactId>dubbo-spring-boot-starter</artifactId>
       <version>${spring-boot-dubbo.version}</version>
       <exclusions>
          <!--exclusion dubbo-->
           <exclusion>
              <groupId>org.apache.dubbo</groupId>
               <artifactId>dubbo</artifactId>
          </exclusion>
      </exclusions>
 </dependency>
 <dependency>
     <groupId>org.apache.dubbo</groupId>
     <artifactId>dubbo-metadata-report-zookeeper</artifactId>
      <version>${dubbo.version}</version>
      <exclusions>
       <!--exclusion dubbo-common-->
         <exclusion>
           <groupId>org.apache.dubbo</groupId>
            <artifactId>dubbo-common</artifactId>
         </exclusion>
       <!--exclusion dubbo-remoting-zookeeper-->
      <exclusion>
          <groupId>org.apache.dubbo</groupId>
          <artifactId>dubbo-remoting-zookeeper</artifactId>
     </exclusion>
     </exclusions>
   </dependency>
 <!--spring-boot dubbo setting  end-->
 <!--spring-boot zookeeper setting  begin-->
            <dependency>
                <groupId>org.apache.zookeeper</groupId>
                <artifactId>zookeeper</artifactId>
                <version>${zookeeper.version}</version>
                <exclusions>
                    <!--exclusion log4j-->
                    <exclusion>
                        <artifactId>log4j</artifactId>
                        <groupId>log4j</groupId>
                    </exclusion>
                    <!--exclusion slf4j-api-->
                    <exclusion>
                        <groupId>org.slf4j</groupId>
                        <artifactId>slf4j-api</artifactId>
                    </exclusion>
                    <!--exclusion slf4j-log4j12-->
                    <exclusion>
                        <groupId>org.slf4j</groupId>
                        <artifactId>slf4j-log4j12</artifactId>
                    </exclusion>
                </exclusions>
            </dependency>
            <dependency>
                <groupId>org.apache.curator</groupId>
                <artifactId>curator-framework</artifactId>
                <version>${curator.version}</version>
                <exclusions>
                    <!--exclusion curator-client-->
                    <exclusion>
                        <groupId>org.apache.curator</groupId>
                        <artifactId>curator-client</artifactId>
                    </exclusion>
                </exclusions>
            </dependency>
            <dependency>
                <groupId>org.apache.curator</groupId>
                <artifactId>curator-recipes</artifactId>
                <version>${curator.version}</version>
                <exclusions>
                    <!--exclusion curator-framework-->
                    <exclusion>
                        <groupId>org.apache.curator</groupId>
                        <artifactId>curator-framework</artifactId>
                    </exclusion>
                </exclusions>
            </dependency>
            <dependency>
                <groupId>org.apache.curator</groupId>
                <artifactId>curator-client</artifactId>
                <version>${curator.version}</version>
                <exclusions>
                    <!--exclusion curator-framework-->
                    <exclusion>
                        <groupId>org.apache.curator</groupId>
                        <artifactId>curator-framework</artifactId>
                    </exclusion>
                    <!--exclusion zookeeper-->
                    <exclusion>
                        <groupId>org.apache.zookeeper</groupId>
                        <artifactId>zookeeper</artifactId>
                    </exclusion>
                </exclusions>
            </dependency>
            <!--spring-boot zookeeper setting  end-->

ps[注意事项]：

1.使用pivotal-cloud-dependencies的意义,可以排除多余和重复依赖，解决依赖冲突等具有指导和参考的作用

2.对于升级和改造可以灵活切换，统一管理版本号等

创建工程：pivotal-dubbo-integration

Linux Centos7 环境基于Docker部署Zookeeper服务搭建实战

与Dubbo相关的依赖：

<!--spring-boot dubbo setting  begin-->
 <dependency>
      <groupId>org.apache.dubbo</groupId>
      <artifactId>dubbo</artifactId>
      <version>${dubbo.version}</version>
 </dependency>
 <dependency>
      <groupId>org.apache.dubbo</groupId>
      <artifactId>dubbo-spring-boot-starter</artifactId>
      <version>${spring-boot-dubbo.version}</version>
  </dependency>
 <!--spring-boot dubbo setting  end-->

与Zookeeper相关的依赖：

<!--spring-boot zookeeper setting  begin-->
<dependency>
    <groupId>org.apache.zookeeper</groupId>
    <artifactId>zookeeper</artifactId>
    <version>${zookeeper.version}</version>
</dependency>
<dependency>
  <groupId>org.apache.curator</groupId>
  <artifactId>curator-framework</artifactId>
  <version>${curator.version}</version>
</dependency>
<dependency>
  <groupId>org.apache.curator</groupId>
  <artifactId>curator-recipes</artifactId>
  <version>${curator.version}</version>
</dependency>
<dependency>
  <groupId>org.apache.curator</groupId>
  <artifactId>curator-client</artifactId>
  <version>${curator.version}</version>
</dependency>
<!--spring-boot zookeeper setting  end-->

然后运行打包构建命令：mvn clean install 将工程打成一个jar，然后在工程需要使用Dubbo作为Provider和Consumer 的工程模块中依赖此内部整合工程：

<!--pivotal dubbo setting begin -->
<dependency>
 <groupId>com.mark.apple</groupId>
 <artifactId>pivotal-dubbo-integration</artifactId>
 version>${project.version}</version>
</dependency>
<!--pivotal dubbo setting end-->

ps[注意事项]：

1.使用pivotal-dubbo-integration的意义,可以自定义封装Dubbo相关特殊场景下的自定义模块[自定义Dubbo序列化等]，以及Dubbo性能调优等

2.可以整合以及其他框架，譬如[Dubbo网关以及Dubbo指标监控等]

最后在Provider和Consumer的工程配置相关属性：

Provider 相关属性配置：

#####################################################
#########Springboot Dubbo Provider Setting##########
#####################################################
pivotal.zookeeper.server-address=zookeeper://IP:2181
dubbo.metadata-report.address=${pivotal.zookeeper.server-address}
dubbo.application.id=${spring.application.name}-${spring.profiles.active}
dubbo.application.name=${spring.application.name}-${spring.profiles.active}
dubbo.application.registry=${spring.application.name}-${spring.profiles.active}
dubbo.application.organization=com.mark.apple
dubbo.application.architecture=${dubbo.application.name}
dubbo.application.environment=${spring.profiles.active}
dubbo.application.logger=slf4j
dubbo.config.override=true
dubbo.config.multiple=true
#dubbo file upload length
# ProtocolConfig Bean
dubbo.protocol.id=dubbo
dubbo.protocol.name=dubbo
#dubbo.protocol.status=client
dubbo.protocol.payload=2147483647
dubbo.protocol.buffer=8192
dubbo.protocol.register=true
dubbo.protocol.server=netty
dubbo.protocol.transporter=netty
dubbo.protocol.threadpool=cached
dubbo.protocol.threads=200
dubbo.protocol.iothreads=2
dubbo.protocol.dispatcher=all
#RegistryConfig Bean
dubbo.registry.address=${pivotal.zookeeper.server-address}
# ProtocolConfig Bean
dubbo.protocol.id=dubbo
dubbo.protocol.name=dubbo
dubbo.protocol.port=28080
dubbo.protocol.status=server
dubbo.protocol.payload=2147483647
dubbo.protocol.buffer=8192
dubbo.protocol.register=true
dubbo.protocol.server=netty
dubbo.protocol.transporter=netty
dubbo.protocol.threadpool=cached
dubbo.protocol.threads=200
dubbo.protocol.dispatcher=all
dubbo.protocol.accepts=1000
#Dubbo Provider setting
dubbo.provider.accepts=0
dubbo.protocol.iothreads=2
dubbo.provider.threads=200
dubbo.provider.threadpool=cached
dubbo.provider.executes=0
dubbo.provider.validation=true
dubbo.provider.connections=0
dubbo.provider.actives=0
dubbo.provider.buffer=8192
dubbo.provider.retries=3
dubbo.provider.delay=-1
dubbo.provider.timeout=360000
#Dubbo Consumer setting
dubbo.consumer.lazy=true
dubbo.consumer.connections=0
dubbo.consumer.actives=0
dubbo.consumer.retries=3
dubbo.consumer.timeout=360000
dubbo.consumer.validation=true
dubbo.consumer.check=true
dubbo.consumer.loadbalance=consistenthash
#Base packages to scan Dubbo Components (e.g @Service , @Reference)
dubbo.scan.base-packages=com.pivotal.authority.server.impl

Consumer相关属性配置：

#####################################################
#########Springboot Dubbo Consumer Setting##########
#####################################################
pivotal.zookeeper.server-address=zookeeper://IP:2181
dubbo.metadata-report.address=${pivotal.zookeeper.server-address}
# Dubbo Config properties
dubbo.application.id=${spring.application.name}-${spring.profiles.active}
dubbo.application.name=${spring.application.name}-${spring.profiles.active}
dubbo.application.registry=${spring.application.name}-${spring.profiles.active}
dubbo.application.organization=com.mark.apple
dubbo.application.architecture=${dubbo.application.name}
dubbo.application.environment=${spring.profiles.active}
dubbo.application.logger=slf4j
dubbo.config.override=true
dubbo.config.multiple=true
# ProtocolConfig Bean
dubbo.protocol.id=dubbo
dubbo.protocol.name=dubbo
dubbo.protocol.status=client
dubbo.protocol.payload=2147483647
dubbo.protocol.buffer=8192
dubbo.protocol.register=true
dubbo.protocol.server=netty
dubbo.protocol.transporter=netty
dubbo.protocol.threadpool=cached
dubbo.protocol.threads=200
dubbo.protocol.iothreads=2
dubbo.protocol.dispatcher=all
#RegistryConfig Bean
dubbo.registry.id=${dubbo.application.name}
dubbo.registry.protocol=dubbo
dubbo.registry.check=true
dubbo.registry.address=${pivotal.zookeeper.server-address}
#Dubbo Consumer setting
dubbo.consumer.lazy=true
dubbo.consumer.connections=0
dubbo.consumer.actives=0
dubbo.consumer.retries=3
dubbo.consumer.validation=true
dubbo.consumer.check=true
dubbo.consumer.loadbalance=consistenthash

版权声明：本文为博主原创文章，遵循相关版权协议，如若转载或者分享请附上原文出处链接和链接来源。

原文  https://segmentfault.com/a/1190000021460509
正文到此结束
所属分类： Java 编程技术

热门推荐

相关文章

阿里云首购8折
说给你听

本文目录
随机标签
书籍教程
springboot-demo Java入门教程 bootstrap3 CSS Apache基础教程 php ionic 教程 Python mysql教程 eclipse Ubuntu VPS系统配置 AngularJS 教程 MongoDB教程 Struts2教程 Redis教程 Spring教程 Git教程 Java设计模式 Jenkins进阶系列 openfire参考指南 HBase教程 Maven教程 hibernate教程 Docker 教程 memcached教程 Quartz指南 Hive教程 ANTLR教程 Ant教程 java实例教程 SpringCloud Elastic-Job-Lite XStream教程 深入浅出MyBatis Hazelcast教程 ibaties教程 SVN教程 rabittmq教程 Hadoop教程 solr教程 WebService CXF学习 springcloud-demo JPA教程 ActiveMQ中文指南 Java内存模型 java-demo dubbo教程 Linux入门视频教程
近期评论
  1. 1 Spring Cloud Circuit Breaker快速入门Demo
  2. 2 Spring Cloud Bus快速入门Demo
  3. 3 Spring Cloud Config快速入门Demo
  4. 4 Spring Cloud Function快速入门Demo
  5. 5 SSPanel-Uim搭建教程 2023年全新定制版主题-解决老版本命令失效问题
  6. 6 Spring Boot集成Milvus和deeplearning4j实现图搜图功能
  7. 7 Spring Boot集成Aviator实现参数校验
  8. 8 ACME自动申请免费的通配符https域名证书
  9. 9 wordpress 数据库和文件优化
  10. 10 CentOS安装Docker与Docker-Compose
网站信息
  • 文章总数：82,696 篇
  • 文件总数：284,257 个
  • 标签总数：2,380 个
  • 分类总数：84 个
  • 留言数量：2,560 条
  • 在线人数：683 人
  • 运行天数：4,392天
  • 最后更新：2024年11月05日22点
Loading...

其他链接

关于本站

本站定位：个人技术类博客

本站作用：写博客、记日志、闲聊扯淡鼓捣技术。

问题交流

[HBLOG]公众号 HBLOG HBLOG