在本文中,我们将详细介绍ZooKeeper3.4.10集群安装配置-Docker的各个方面,并为您提供关于zookeeper集群安装部署的相关解答,同时,我们也将为您带来关于6.Zookeeper集群
在本文中,我们将详细介绍ZooKeeper3.4.10 集群安装配置 - Docker的各个方面,并为您提供关于zookeeper集群安装部署的相关解答,同时,我们也将为您带来关于6. Zookeeper集群安装、Docker ZooKeeper3.4.10集群安装配置过程、Docker 下安装 zookeeper(单机 & 集群)、Docker 安装 Zookeeper 集群的有用知识。
本文目录一览:- ZooKeeper3.4.10 集群安装配置 - Docker(zookeeper集群安装部署)
- 6. Zookeeper集群安装
- Docker ZooKeeper3.4.10集群安装配置过程
- Docker 下安装 zookeeper(单机 & 集群)
- Docker 安装 Zookeeper 集群
ZooKeeper3.4.10 集群安装配置 - Docker(zookeeper集群安装部署)
一 服务器规划
主机 |
IP |
端口 |
备注 |
b-mid-24 |
172.16.0.24 |
2181, 2888, 3888 |
2181:对 cline 端提供服务 3888:选举 leader 使用 2888:集群内机器通讯使用(Leader 监听此端口) |
b-mid-25 |
172.16.0.25 |
2181, 2888, 3888 |
|
b-mid-26 |
172.16.0.26 |
2181, 2888, 3888 |
二 集群部署
注:以下步骤需要分别在三台主机操作
1. 配置
1.1 创建宿主机映射目录
mkdir /data/docker/zookeeper-home/{conf,data,logs,datalog} -p
1.2. 创建配置文件(3 台 zk 节点配置文件一样)
vi /data/docker/zookeeper-home/conf/zoo.cfg :
# 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=/data dataLogDir=/datalog # the port at which the clients will connect clientPort=2181 # 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 server.24=172.16.0.24:2888:3888 server.25=172.16.0.25:2888:3888 server.26=172.16.0.26:2888:3888
1.3. 配置 zookeeper 主机 id,每个机器 id 不能相同,需要对应配置文件 server 后面的值:
echo "24" > /data/docker/zookeeper-home/data/myid echo "25" > /data/docker/zookeeper-home/data/myid echo "26" > /data/docker/zookeeper-home/data/myid
1.4 修改 zookeeper-home 目录及子目录所属用户为 yunwei :
chown -R yunwei:yunwei /data/docker/zookeeper-home
2. 启动
2.1 开启端口
firewall-cmd --permanent --add-port=2181/tcp firewall-cmd --permanent --add-port=2888/tcp firewall-cmd --permanent --add-port=3888/tcp firewall-cmd --reload firewall-cmd --list-all
2.2 启动服务(用 yunwei 账号执行)
拉取镜像:
docker pull zookeeper:3.4.10
启动服务:
docker run -d \ --name zookeeper \ --network host \ --restart=unless-stopped \ -v /data/docker/zookeeper-home/data:/data \ -v /data/docker/zookeeper-home/conf:/conf \ -v /data/docker/zookeeper-home/datalog:/datalog \ -v /data/docker/zookeeper-home/logs:/logs \ -v /etc/localtime:/etc/localtime \ zookeeper:3.4.10
2.3 查看服务器状态
docker exec -it zookeeper bash zkServer.sh status echo mntr | nc 127.0.0.1 2181 zkCli.sh -server 127.0.0.1:2181 ls /
6. Zookeeper集群安装
Zookeeper简介
ZooKeeper是一个分布式的,开放源码的分布式应用程序协调服务,是分布式应用提供一致性服务的软件,提供的功能包括:配置维护、域名服务、分布式同步、组服务等。
Zookeeper安装
-
解压到指定位置。
tar -zxvf zookeeper-3.4.10.tar.gz -C /opt/module/
-
配置服务器编号
- 在zookeeper目录下新建zkData文件夹
- 在zkData目录下新建myid文件
- 在myid文件中添加数字,该数字可以为任意数,但是在集群中只能出现一次。为了方便记忆,hadoop151中的myid为1,hadoop152中的myid为2,hadoop153中的myid为3.
-
将“zookeeper/conf目录下”的zoo_sample.cfg重命名后修改其中内容。
mv zoo_sample.cfg zoo.cfg // 重命名 // 修改文件内容 dataDir=/opt/module/zookeeper-3.4.10/zkData server.1=hadoop151:2888:3888 // 一定要和myid对应 server.2=hadoop152:2888:3888 server.3=hadoop153:2888:3888
-
分别在三台虚拟机上启动zookeeper
切换到zookeeper/bin目录下./zkServer.sh start // 启动zookeeper ./zkServer.sh status // 查看zookeeper状态(leader或follower) ./zkServer.sh stop // 停止zookeeper
Docker ZooKeeper3.4.10集群安装配置过程
一. 服务器规划
主机 | IP | 端口 | 备注 |
b-mid-24 | 172.16.0.24 | 2181, 2888, 3888 | 2181:对cline端提供服务 3888:选举leader使用 2888:集群内机器通讯使用(Leader监听此端口) |
b-mid-25 | 172.16.0.25 | 2181, 2888, 3888 | |
b-mid-26 | 172.16.0.26 | 2181, 2888, 3888 |
二. 集群部署
注:以下步骤需要分别在三台主机操作
1. 配置
1.1 创建宿主机映射目录
mkdir /data/docker/zookeeper-home/{conf,data,logs,datalog} -p
1.2. 创建配置文件(3台zk节点配置文件一样)
vi /data/docker/zookeeper-home/conf/zoo.cfg :
# 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=/data dataLogDir=/datalog # the port at which the clients will connect clientPort=2181 # 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 server.24=172.16.0.24:2888:3888 server.25=172.16.0.25:2888:3888 server.26=172.16.0.26:2888:3888
1.3. 配置zookeeper主机id,每个机器id不能相同,需要对应配置文件server后面的值:
echo "24" > /data/docker/zookeeper-home/data/myid echo "25" > /data/docker/zookeeper-home/data/myid echo "26" > /data/docker/zookeeper-home/data/myid
1.4 修改 zookeeper-home 目录及子目录所属用户为 yunwei :
chown -R yunwei:yunwei /data/docker/zookeeper-home
2. 启动
2.1 开启端口
firewall-cmd --permanent --add-port=2181/tcp firewall-cmd --permanent --add-port=2888/tcp firewall-cmd --permanent --add-port=3888/tcp firewall-cmd --reload firewall-cmd --list-all
2.2 启动服务(用 yunwei 账号执行)
拉取镜像:
docker pull zookeeper:3.4.10
启动服务:
docker run -d \ --name zookeeper \ --network host \ --restart=unless-stopped \ -v /data/docker/zookeeper-home/data:/data \ -v /data/docker/zookeeper-home/conf:/conf \ -v /data/docker/zookeeper-home/datalog:/datalog \ -v /data/docker/zookeeper-home/logs:/logs \ -v /etc/localtime:/etc/localtime \ zookeeper:3.4.10
2.3 查看服务器状态
docker exec -it zookeeper bash zkServer.sh status echo mntr | nc 127.0.0.1 2181 zkCli.sh -server 127.0.0.1:2181 ls /
到此这篇关于Docker ZooKeeper3.4.10集群安装配置过程的文章就介绍到这了,更多相关Docker ZooKeeper集群内容请搜索以前的文章或继续浏览下面的相关文章希望大家以后多多支持!
- docker搭建Zookeeper集群的方法步骤
- Docker下安装zookeeper(单机和集群)
- Docker搭建Zookeeper&Kafka集群的实现
Docker 下安装 zookeeper(单机 & 集群)
启动 Docker 后,先看一下我们有哪些选择。
有官方的当然选择官方啦~
下载:
[root@localhost admin]# docker pull zookeeper
Using default tag: latest
Trying to pull repository docker.io/library/zookeeper ...
latest: Pulling from docker.io/library/zookeeper
1ab2bdfe9778: Already exists
7aaf9a088d61: Pull complete
80a55c9c9fe8: Pull complete
a0086b0e6eec: Pull complete
4165e7457cad: Pull complete
bcba13bcf3a1: Pull complete
41c03a109e47: Pull complete
4d5281c6b0d4: Pull complete
Digest: sha256:175d6bb1471e1e37a48bfa41a9da047c80fade60fd585eae3a0e08a4ce1d39ed
Status: Downloaded newer image for docker.io/zookeeper:latest
查看镜像详情
[root@localhost admin]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
192.168.192.128:443/hello-2 latest 0c24558dd388 42 hours ago 660 MB
192.168.192.128:443/hello latest a3ba3d430bed 42 hours ago 660 MB
docker.io/nginx latest 5a3221f0137b 13 days ago 126 MB
docker.io/zookeeper latest 3487af26dee9 13 days ago 225 MB
docker.io/registry latest f32a97de94e1 5 months ago 25.8 MB
docker.io/mongo latest 8bf72137439e 12 months ago 380 MB
docker.io/influxdb latest 34de2bdc2d7f 12 months ago 213 MB
docker.io/centos latest 5182e96772bf 12 months ago 200 MB
docker.io/grafana/grafana latest 3e16e05be9a3 13 months ago 245 MB
docker.io/hello-world latest 2cb0d9787c4d 13 months ago 1.85 kB
docker.io/java latest d23bdf5b1b1b 2 years ago 643 MB
[root@localhost admin]# docker inspect 3487af26dee9
[
{
"Id": "sha256:3487af26dee9ef9eacee9a97521bc4f0243bef0b285247258c32f4a03cab92c5",
"RepoTags": [
"docker.io/zookeeper:latest"
],
"RepoDigests": [
"docker.io/zookeeper@sha256:175d6bb1471e1e37a48bfa41a9da047c80fade60fd585eae3a0e08a4ce1d39ed"
],
"Parent": "",
"Comment": "",
"Created": "2019-08-15T06:10:50.178554969Z",
"Container": "9a38467115f1952161d6075135d5c5287967282b834cfe68183339c810f9652b",
"ContainerConfig": {
"Hostname": "9a38467115f1",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"2181/tcp": {},
"2888/tcp": {},
"3888/tcp": {},
"8080/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/openjdk-8/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/apache-zookeeper-3.5.5-bin/bin",
"LANG=C.UTF-8",
"JAVA_HOME=/usr/local/openjdk-8",
"JAVA_VERSION=8u222",
"JAVA_BASE_URL=https://github.com/AdoptOpenJDK/openjdk8-upstream-binaries/releases/download/jdk8u222-b10/OpenJDK8U-jre_",
"JAVA_URL_VERSION=8u222b10",
"ZOO_CONF_DIR=/conf",
"ZOO_DATA_DIR=/data",
"ZOO_DATA_LOG_DIR=/datalog",
"ZOO_LOG_DIR=/logs",
"ZOO_TICK_TIME=2000",
"ZOO_INIT_LIMIT=5",
"ZOO_SYNC_LIMIT=2",
"ZOO_AUTOPURGE_PURGEINTERVAL=0",
"ZOO_AUTOPURGE_SNAPRETAINCOUNT=3",
"ZOO_MAX_CLIENT_CNXNS=60",
"ZOO_STANDALONE_ENABLED=true",
"ZOO_ADMINSERVER_ENABLED=true",
"ZOOCFGDIR=/conf"
],
"Cmd": [
"/bin/sh",
"-c",
"#(nop) ",
"CMD [\"zkServer.sh\" \"start-foreground\"]"
],
"ArgsEscaped": true,
"Image": "sha256:20bf3cc1bd5b5766b79da5265e94007d0802ce241df1636d0f63e211a79a0e3e",
"Volumes": {
"/data": {},
"/datalog": {},
"/logs": {}
},
"WorkingDir": "/apache-zookeeper-3.5.5-bin",
"Entrypoint": [
"/docker-entrypoint.sh"
],
"OnBuild": null,
"Labels": {}
},
"DockerVersion": "18.06.1-ce",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"2181/tcp": {},
"2888/tcp": {},
"3888/tcp": {},
"8080/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/openjdk-8/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/apache-zookeeper-3.5.5-bin/bin",
"LANG=C.UTF-8",
"JAVA_HOME=/usr/local/openjdk-8",
"JAVA_VERSION=8u222",
"JAVA_BASE_URL=https://github.com/AdoptOpenJDK/openjdk8-upstream-binaries/releases/download/jdk8u222-b10/OpenJDK8U-jre_",
"JAVA_URL_VERSION=8u222b10",
"ZOO_CONF_DIR=/conf",
"ZOO_DATA_DIR=/data",
"ZOO_DATA_LOG_DIR=/datalog",
"ZOO_LOG_DIR=/logs",
"ZOO_TICK_TIME=2000",
"ZOO_INIT_LIMIT=5",
"ZOO_SYNC_LIMIT=2",
"ZOO_AUTOPURGE_PURGEINTERVAL=0",
"ZOO_AUTOPURGE_SNAPRETAINCOUNT=3",
"ZOO_MAX_CLIENT_CNXNS=60",
"ZOO_STANDALONE_ENABLED=true",
"ZOO_ADMINSERVER_ENABLED=true",
"ZOOCFGDIR=/conf"
],
"Cmd": [
"zkServer.sh",
"start-foreground"
],
"ArgsEscaped": true,
"Image": "sha256:20bf3cc1bd5b5766b79da5265e94007d0802ce241df1636d0f63e211a79a0e3e",
"Volumes": {
"/data": {},
"/datalog": {},
"/logs": {}
},
"WorkingDir": "/apache-zookeeper-3.5.5-bin",
"Entrypoint": [
"/docker-entrypoint.sh"
],
"OnBuild": null,
"Labels": null
},
"Architecture": "amd64",
"Os": "linux",
"Size": 225126346,
"VirtualSize": 225126346,
"GraphDriver": {
"Name": "overlay2",
"Data": {
"LowerDir": "/var/lib/docker/overlay2/92185ebf7638a7b34180cfb87795dd758405cbad4fd0139b92a227d1a4b61847/diff:/var/lib/docker/overlay2/8787e91f5c03a7c03cee072019eca49a0402a0a0902be39ed0b5d651a79cce35/diff:/var/lib/docker/overlay2/ce5864ddfa4d1478047aa9fcaa03744e8a4078ebe43b41e7836c96c54c724044/diff:/var/lib/docker/overlay2/fc99437bcfbabb9e8234c06c90d1c60e58c34ac053aff1adc368b7ad3a50c158/diff:/var/lib/docker/overlay2/1779297a8980830229bd4bf58bd741730956d6797332fd07b863a1b48dcb6fa2/diff:/var/lib/docker/overlay2/ee735aa3608d890ac4751dd93581a67cb54a5dd4714081e9d09d0ebd9dbc3501/diff:/var/lib/docker/overlay2/cf6b3cbc42f3c8d1fb09b29db0dafbb4dceb120925970ab8a3871eaa8562414c/diff",
"MergedDir": "/var/lib/docker/overlay2/a7fcc1b78c472cde943f20d1d4495f145308507b5fe3da8800c33dc4ce426156/merged",
"UpperDir": "/var/lib/docker/overlay2/a7fcc1b78c472cde943f20d1d4495f145308507b5fe3da8800c33dc4ce426156/diff",
"WorkDir": "/var/lib/docker/overlay2/a7fcc1b78c472cde943f20d1d4495f145308507b5fe3da8800c33dc4ce426156/work"
}
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:1c95c77433e8d7bf0f519c9d8c9ca967e2603f0defbf379130d9a841cca2e28e",
"sha256:2bf534399acac9c6b09a0b1d931223808000b04400a749f08187ed9ee435738d",
"sha256:eb25e0278d41b9ac637d8cb2e391457cf44ce8d2bfe0646d0c9faefc96413f91",
"sha256:e54bd3566d9ef3e1309a5af6caf8682f32c6ac4d6adfcbd3e601cfee4e2e0e85",
"sha256:c79435051d529a7b86f5f9fc32e7e2ec401929434e5596f02a2af731f55c9f28",
"sha256:76e0d7b2d700e6d17924b985703c7b5b84fb39ddcc0a1181b41217c2a11dffc4",
"sha256:eecdc37df6afd77091641588f9639f63b65e8eb141e56529e00da44419c5bd04",
"sha256:36e788f2d91a89375df5901f31cca33776f887c00ddfd3cf9f2466fa4cb794d6"
]
}
}
]
默认拉取最新的是 3.5.X 版本,如果你需要 3.4.X 版本的,要指定标签
单机
# 最后那个是镜像的ID
[root@localhost admin]# docker run -d -p 2181:2181 --name some-zookeeper --restart always 3487af26dee9
d5c6f857cd88c342acf63dd58e838a4cdf912daa6c8c0115091147136e819307
[root@localhost admin]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
d5c6f857cd88 3487af26dee9 "/docker-entrypoin..." 4 seconds ago Up 3 seconds 2888/tcp, 3888/tcp, 0.0.0.0:2181->2181/tcp, 8080/tcp some-zookeeper
[root@localhost admin]# docker exec -it d5c6f857cd88 bash
root@d5c6f857cd88:/apache-zookeeper-3.5.5-bin# ./bin/zkCli.sh
Connecting to localhost:2181
2019-08-29 07:15:21,623 [myid:] - INFO [main:Environment@109] - Client environment:zookeeper.version=3.5.5-390fe37ea45dee01bf87dc1c042b5e3dcce88653, built on 05/03/2019 12:07 GMT
2019-08-29 07:15:21,679 [myid:] - INFO [main:Environment@109] - Client environment:host.name=d5c6f857cd88
2019-08-29 07:15:21,680 [myid:] - INFO [main:Environment@109] - Client environment:java.version=1.8.0_222
2019-08-29 07:15:21,717 [myid:] - INFO [main:Environment@109] - Client environment:java.vendor=Oracle Corporation
2019-08-29 07:15:21,718 [myid:] - INFO [main:Environment@109] - Client environment:java.home=/usr/local/openjdk-8
2019-08-29 07:15:21,725 [myid:] - INFO [main:Environment@109] - Client environment:java.class.path=/apache-zookeeper-3.5.5-bin/bin/../zookeeper-server/target/classes:/apache-zookeeper-3.5.5-bin/bin/../build/classes:/apache-zookeeper-3.5.5-bin/bin/../zookeeper-server/target/lib/*.jar:/apache-zookeeper-3.5.5-bin/bin/../build/lib/*.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/zookeeper-jute-3.5.5.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/zookeeper-3.5.5.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/slf4j-log4j12-1.7.25.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/slf4j-api-1.7.25.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/netty-all-4.1.29.Final.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/log4j-1.2.17.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/json-simple-1.1.1.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jline-2.11.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jetty-util-9.4.17.v20190418.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jetty-servlet-9.4.17.v20190418.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jetty-server-9.4.17.v20190418.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jetty-security-9.4.17.v20190418.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jetty-io-9.4.17.v20190418.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jetty-http-9.4.17.v20190418.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/javax.servlet-api-3.1.0.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jackson-databind-2.9.8.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jackson-core-2.9.8.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/jackson-annotations-2.9.0.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/commons-cli-1.2.jar:/apache-zookeeper-3.5.5-bin/bin/../lib/audience-annotations-0.5.0.jar:/apache-zookeeper-3.5.5-bin/bin/../zookeeper-*.jar:/apache-zookeeper-3.5.5-bin/bin/../zookeeper-server/src/main/resources/lib/*.jar:/conf:
2019-08-29 07:15:22,108 [myid:] - INFO [main:Environment@109] - Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
2019-08-29 07:15:22,109 [myid:] - INFO [main:Environment@109] - Client environment:java.io.tmpdir=/tmp
2019-08-29 07:15:22,109 [myid:] - INFO [main:Environment@109] - Client environment:java.compiler=<NA>
2019-08-29 07:15:22,109 [myid:] - INFO [main:Environment@109] - Client environment:os.name=Linux
2019-08-29 07:15:22,109 [myid:] - INFO [main:Environment@109] - Client environment:os.arch=amd64
2019-08-29 07:15:22,110 [myid:] - INFO [main:Environment@109] - Client environment:os.version=3.10.0-862.9.1.el7.x86_64
2019-08-29 07:15:22,110 [myid:] - INFO [main:Environment@109] - Client environment:user.name=root
2019-08-29 07:15:22,110 [myid:] - INFO [main:Environment@109] - Client environment:user.home=/root
2019-08-29 07:15:22,110 [myid:] - INFO [main:Environment@109] - Client environment:user.dir=/apache-zookeeper-3.5.5-bin
2019-08-29 07:15:22,118 [myid:] - INFO [main:Environment@109] - Client environment:os.memory.free=11MB
2019-08-29 07:15:22,148 [myid:] - INFO [main:Environment@109] - Client environment:os.memory.max=247MB
2019-08-29 07:15:22,148 [myid:] - INFO [main:Environment@109] - Client environment:os.memory.total=15MB
2019-08-29 07:15:22,206 [myid:] - INFO [main:ZooKeeper@868] - Initiating client connection, connectString=localhost:2181 sessionTimeout=30000 watcher=org.apache.zookeeper.ZooKeeperMain$MyWatcher@3b95a09c
2019-08-29 07:15:22,239 [myid:] - INFO [main:X509Util@79] - Setting -D jdk.tls.rejectClientInitiatedRenegotiation=true to disable client-initiated TLS renegotiation
2019-08-29 07:15:22,285 [myid:] - INFO [main:ClientCnxnSocket@237] - jute.maxbuffer value is 4194304 Bytes
2019-08-29 07:15:22,366 [myid:] - INFO [main:ClientCnxn@1653] - zookeeper.request.timeout value is 0. feature enabled=
Welcome to ZooKeeper!
JLine support is enabled
2019-08-29 07:15:22,563 [myid:localhost:2181] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@1112] - Opening socket connection to server localhost/0:0:0:0:0:0:0:1:2181. Will not attempt to authenticate using SASL (unknown error)
2019-08-29 07:15:23,443 [myid:localhost:2181] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@959] - Socket connection established, initiating session, client: /0:0:0:0:0:0:0:1:37198, server: localhost/0:0:0:0:0:0:0:1:2181
2019-08-29 07:15:23,520 [myid:localhost:2181] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@1394] - Session establishment complete on server localhost/0:0:0:0:0:0:0:1:2181, sessionid = 0x10001216d990000, negotiated timeout = 30000
WATCHER::
WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0] ls /
[zookeeper]
[zk: localhost:2181(CONNECTED) 1] quit
WATCHER::
WatchedEvent state:Closed type:None path:null
2019-08-29 07:15:37,042 [myid:] - INFO [main:ZooKeeper@1422] - Session: 0x10001216d990000 closed
2019-08-29 07:15:37,043 [myid:] - INFO [main-EventThread:ClientCnxn$EventThread@524] - EventThread shut down for session: 0x10001216d990000
root@d5c6f857cd88:/apache-zookeeper-3.5.5-bin# exit
exit
[root@localhost admin]#
在外部访问(192.168.192.128:2181)
集群
环境:单台宿主机(192.168.192.128),启动三个 zookeeper 容器。
这里涉及一个问题,就是 Docker 容器之间通信的问题,这个很重要!
Docker 有三种网络模式,bridge、host、none,在你创建容器的时候,不指定 --network 默认是 bridge。
bridge:为每一个容器分配 IP,并将容器连接到一个 docker0 虚拟网桥,通过 docker0 网桥与宿主机通信。也就是说,此模式下,你不能用宿主机的 IP + 容器映射端口来进行 Docker 容器之间的通信。
host:容器不会虚拟自己的网卡,配置自己的 IP,而是使用宿主机的 IP 和端口。这样一来,Docker 容器之间的通信就可以用宿主机的 IP + 容器映射端口
none:无网络。
=====================================================
先在本地创建目录:
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster/node1
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster/node2
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster/node3
[root@localhost admin]# ll /usr/local/zookeeper-cluster/
total 0
drwxr-xr-x. 2 root root 6 Aug 28 23:02 node1
drwxr-xr-x. 2 root root 6 Aug 28 23:02 node2
drwxr-xr-x. 2 root root 6 Aug 28 23:02 node3
然后执行命令启动
docker run -d -p 2181:2181 -p 2888:2888 -p 3888:3888 --name zookeeper_node1 --privileged --restart always \
-v /usr/local/zookeeper-cluster/node1/volumes/data:/data \
-v /usr/local/zookeeper-cluster/node1/volumes/datalog:/datalog \
-v /usr/local/zookeeper-cluster/node1/volumes/logs:/logs \
-e ZOO_MY_ID=1 \
-e "ZOO_SERVERS=server.1=192.168.192.128:2888:3888;2181 server.2=192.168.192.128:2889:3889;2182 server.3=192.168.192.128:2890:3890;2183" 3487af26dee9
docker run -d -p 2182:2181 -p 2889:2888 -p 3889:3888 --name zookeeper_node2 --privileged --restart always \
-v /usr/local/zookeeper-cluster/node2/volumes/data:/data \
-v /usr/local/zookeeper-cluster/node2/volumes/datalog:/datalog \
-v /usr/local/zookeeper-cluster/node2/volumes/logs:/logs \
-e ZOO_MY_ID=2 \
-e "ZOO_SERVERS=server.1=192.168.192.128:2888:3888;2181 server.2=192.168.192.128:2889:3889;2182 server.3=192.168.192.128:2890:3890;2183" 3487af26dee9
docker run -d -p 2183:2181 -p 2890:2888 -p 3890:3888 --name zookeeper_node3 --privileged --restart always \
-v /usr/local/zookeeper-cluster/node3/volumes/data:/data \
-v /usr/local/zookeeper-cluster/node3/volumes/datalog:/datalog \
-v /usr/local/zookeeper-cluster/node3/volumes/logs:/logs \
-e ZOO_MY_ID=3 \
-e "ZOO_SERVERS=server.1=192.168.192.128:2888:3888;2181 server.2=192.168.192.128:2889:3889;2182 server.3=192.168.192.128:2890:3890;2183" 3487af26dee9
【坑】
乍一看,没什么问题啊,首先映射端口到宿主机,然后三个 zookeeper 之间的访问地址则是宿主机 IP: 映射端口,没毛病啊;
看我前面讲的网络模式就能看出问题,ZOO_SERVERS 里面的 IP 有问题,犯这个错误都是不了解 Docker 的网络模式的。什么错误往下看。
关于 ZOO_SERVERS
什么意思呢,3.5.0 开始,不应该再使用 clientPort 和 clientPortAddress 配置参数。相反,这些信息现在是 server 关键字规范的一部分。
端口映射三个容器不一样,比如 2181/2182/2183,因为是一台宿主机嘛,端口不能冲突,如果你不在同一台机器,就不用修改端口。
最后的那个参数是镜像 ID,也可以是镜像名称:TAG。
--privileged=true 参数是为了解决【chown: changing ownership of ''/data'': Permission denied】,也可以省略 true
执行结果:
[root@localhost admin]# docker run -d -p 2181:2181 -p 2888:2888 -p 3888:3888 --name zookeeper_node1 --privileged --restart always \
> -v /usr/local/zookeeper-cluster/node1/volumes/data:/data \
> -v /usr/local/zookeeper-cluster/node1/volumes/datalog:/datalog \
> -v /usr/local/zookeeper-cluster/node1/volumes/logs:/logs \
> -e ZOO_MY_ID=1 \
> -e "ZOO_SERVERS=server.1=192.168.192.128:2888:3888;2181 server.2=192.168.192.128:2889:3889;2182 server.3=192.168.192.128:2890:3890;2183" 3487af26dee9
4bfa6bbeb936037e178a577e5efbd06d4a963e91d67274413b933fd189917776
[root@localhost admin]# docker run -d -p 2182:2181 -p 2889:2888 -p 3889:3888 --name zookeeper_node2 --privileged --restart always \
> -v /usr/local/zookeeper-cluster/node2/volumes/data:/data \
> -v /usr/local/zookeeper-cluster/node2/volumes/datalog:/datalog \
> -v /usr/local/zookeeper-cluster/node2/volumes/logs:/logs \
> -e ZOO_MY_ID=2 \
> -e "ZOO_SERVERS=server.1=192.168.192.128:2888:3888;2181 server.2=192.168.192.128:2889:3889;2182 server.3=192.168.192.128:2890:3890;2183" 3487af26dee9
dbb7f1f323a09869d043152a4995e73bad5f615fd81bf11143fd1c28180f9869
[root@localhost admin]# docker run -d -p 2183:2181 -p 2890:2888 -p 3890:3888 --name zookeeper_node3 --privileged --restart always \
> -v /usr/local/zookeeper-cluster/node3/volumes/data:/data \
> -v /usr/local/zookeeper-cluster/node3/volumes/datalog:/datalog \
> -v /usr/local/zookeeper-cluster/node3/volumes/logs:/logs \
> -e ZOO_MY_ID=3 \
> -e "ZOO_SERVERS=server.1=192.168.192.128:2888:3888;2181 server.2=192.168.192.128:2889:3889;2182 server.3=192.168.192.128:2890:3890;2183" 3487af26dee9
6dabae1d92f0e861cc7515c014c293f80075c2762b254fc56312a6d3b450a919
[root@localhost admin]#
查看启动的容器
[root@localhost admin]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
6dabae1d92f0 3487af26dee9 "/docker-entrypoin..." 31 seconds ago Up 29 seconds 8080/tcp, 0.0.0.0:2183->2181/tcp, 0.0.0.0:2890->2888/tcp, 0.0.0.0:3890->3888/tcp zookeeper_node3
dbb7f1f323a0 3487af26dee9 "/docker-entrypoin..." 36 seconds ago Up 35 seconds 8080/tcp, 0.0.0.0:2182->2181/tcp, 0.0.0.0:2889->2888/tcp, 0.0.0.0:3889->3888/tcp zookeeper_node2
4bfa6bbeb936 3487af26dee9 "/docker-entrypoin..." 46 seconds ago Up 45 seconds 0.0.0.0:2181->2181/tcp, 0.0.0.0:2888->2888/tcp, 0.0.0.0:3888->3888/tcp, 8080/tcp zookeeper_node1
[root@localhost admin]#
不是说有错误吗?怎么还启动成功了??我们来看下节点 1 的启动日志
[root@localhost admin]# docker logs -f 4bfa6bbeb936
ZooKeeper JMX enabled by default
...
2019-08-29 09:20:22,665 [myid:1] - WARN [WorkerSender[myid=1]:QuorumCnxManager@677] - Cannot open channel to 2 at election address /192.168.192.128:3889
java.net.ConnectException: Connection refused (Connection refused)
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:648)
at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:705)
at org.apache.zookeeper.server.quorum.QuorumCnxManager.toSend(QuorumCnxManager.java:618)
at org.apache.zookeeper.server.quorum.FastLeaderElection$Messenger$WorkerSender.process(FastLeaderElection.java:477)
at org.apache.zookeeper.server.quorum.FastLeaderElection$Messenger$WorkerSender.run(FastLeaderElection.java:456)
at java.lang.Thread.run(Thread.java:748)
2019-08-29 09:20:22,666 [myid:1] - WARN [WorkerSender[myid=1]:QuorumCnxManager@677] - Cannot open channel to 3 at election address /192.168.192.128:3890
java.net.ConnectException: Connection refused (Connection refused)
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:648)
at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:705)
at org.apache.zookeeper.server.quorum.QuorumCnxManager.toSend(QuorumCnxManager.java:618)
at org.apache.zookeeper.server.quorum.FastLeaderElection$Messenger$WorkerSender.process(FastLeaderElection.java:477)
at org.apache.zookeeper.server.quorum.FastLeaderElection$Messenger$WorkerSender.run(FastLeaderElection.java:456)
at java.lang.Thread.run(Thread.java:748)
连接不上 2 和 3,为什么呢,因为在默认的 Docker 网络模式下,通过宿主机的 IP + 映射端口,根本找不到啊!他们有自己的 IP 啊!如下:
[root@localhost admin]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
6dabae1d92f0 3487af26dee9 "/docker-entrypoin..." 5 minutes ago Up 5 minutes 8080/tcp, 0.0.0.0:2183->2181/tcp, 0.0.0.0:2890->2888/tcp, 0.0.0.0:3890->3888/tcp zookeeper_node3
dbb7f1f323a0 3487af26dee9 "/docker-entrypoin..." 6 minutes ago Up 6 minutes 8080/tcp, 0.0.0.0:2182->2181/tcp, 0.0.0.0:2889->2888/tcp, 0.0.0.0:3889->3888/tcp zookeeper_node2
4bfa6bbeb936 3487af26dee9 "/docker-entrypoin..." 6 minutes ago Up 6 minutes 0.0.0.0:2181->2181/tcp, 0.0.0.0:2888->2888/tcp, 0.0.0.0:3888->3888/tcp, 8080/tcp zookeeper_node1
[root@localhost admin]# docker inspect 4bfa6bbeb936
"Networks": {
"bridge": {
"IPAMConfig": null,
"Links": null,
"Aliases": null,
"NetworkID": "5fc1ce4362afe3d34fdf260ab0174c36fe4b7daf2189702eae48101a755079f3",
"EndpointID": "368237e4c903cc663111f1fe33ac4626a9100fb5a22aec85f5eccbc6968a1631",
"Gateway": "172.17.0.1",
"IPAddress": "172.17.0.2",
"IPPrefixLen": 16,
"IPv6Gateway": "",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"MacAddress": "02:42:ac:11:00:02"
}
}
}
}
]
[root@localhost admin]# docker inspect dbb7f1f323a0
"Networks": {
"bridge": {
"IPAMConfig": null,
"Links": null,
"Aliases": null,
"NetworkID": "5fc1ce4362afe3d34fdf260ab0174c36fe4b7daf2189702eae48101a755079f3",
"EndpointID": "8a9734044a566d5ddcd7cbbf6661abb2730742f7c73bd8733ede9ed8ef106659",
"Gateway": "172.17.0.1",
"IPAddress": "172.17.0.3",
"IPPrefixLen": 16,
"IPv6Gateway": "",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"MacAddress": "02:42:ac:11:00:03"
}
}
}
}
]
[root@localhost admin]# docker inspect 6dabae1d92f0
"Networks": {
"bridge": {
"IPAMConfig": null,
"Links": null,
"Aliases": null,
"NetworkID": "5fc1ce4362afe3d34fdf260ab0174c36fe4b7daf2189702eae48101a755079f3",
"EndpointID": "b10329b9940a07aacb016d8d136511ec388de02bf3bd0e0b50f7f4cbb7f138ec",
"Gateway": "172.17.0.1",
"IPAddress": "172.17.0.4",
"IPPrefixLen": 16,
"IPv6Gateway": "",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"MacAddress": "02:42:ac:11:00:04"
}
}
}
}
]
node1---172.17.0.2
node2---172.17.0.3
node3---172.17.0.4
既然我们知道了它有自己的 IP,那又出现另一个问题了,就是它的 ip 是动态的,启动之前我们无法得知。有个解决办法就是创建自己的 bridge 网络,然后创建容器的时候指定 ip。
【正确方式开始】
[root@localhost admin]# docker network create --driver bridge --subnet=172.18.0.0/16 --gateway=172.18.0.1 zoonet
8257c501652a214d27efdf5ef71ff38bfe222c3a2a7898be24b8df9db1fb3b13
[root@localhost admin]# docker network ls
NETWORK ID NAME DRIVER SCOPE
5fc1ce4362af bridge bridge local
6aa33e21444e host host local
20e563b93ce9 none null local
8257c501652a zoonet bridge local
[root@localhost admin]# docker network inspect 8257c501652a
[
{
"Name": "zoonet",
"Id": "8257c501652a214d27efdf5ef71ff38bfe222c3a2a7898be24b8df9db1fb3b13",
"Created": "2019-08-29T06:08:01.442601483-04:00",
"Scope": "local",
"Driver": "bridge",
"EnableIPv6": false,
"IPAM": {
"Driver": "default",
"Options": {},
"Config": [
{
"Subnet": "172.18.0.0/16",
"Gateway": "172.18.0.1"
}
]
},
"Internal": false,
"Attachable": false,
"Containers": {},
"Options": {},
"Labels": {}
}
]
然后我们修改一下 zookeeper 容器的创建命令。
docker run -d -p 2181:2181 --name zookeeper_node1 --privileged --restart always --network zoonet --ip 172.18.0.2 \
-v /usr/local/zookeeper-cluster/node1/volumes/data:/data \
-v /usr/local/zookeeper-cluster/node1/volumes/datalog:/datalog \
-v /usr/local/zookeeper-cluster/node1/volumes/logs:/logs \
-e ZOO_MY_ID=1 \
-e "ZOO_SERVERS=server.1=172.18.0.2:2888:3888;2181 server.2=172.18.0.3:2888:3888;2181 server.3=172.18.0.4:2888:3888;2181" 3487af26dee9
docker run -d -p 2182:2181 --name zookeeper_node2 --privileged --restart always --network zoonet --ip 172.18.0.3 \
-v /usr/local/zookeeper-cluster/node2/volumes/data:/data \
-v /usr/local/zookeeper-cluster/node2/volumes/datalog:/datalog \
-v /usr/local/zookeeper-cluster/node2/volumes/logs:/logs \
-e ZOO_MY_ID=2 \
-e "ZOO_SERVERS=server.1=172.18.0.2:2888:3888;2181 server.2=172.18.0.3:2888:3888;2181 server.3=172.18.0.4:2888:3888;2181" 3487af26dee9
docker run -d -p 2183:2181 --name zookeeper_node3 --privileged --restart always --network zoonet --ip 172.18.0.4 \
-v /usr/local/zookeeper-cluster/node3/volumes/data:/data \
-v /usr/local/zookeeper-cluster/node3/volumes/datalog:/datalog \
-v /usr/local/zookeeper-cluster/node3/volumes/logs:/logs \
-e ZOO_MY_ID=3 \
-e "ZOO_SERVERS=server.1=172.18.0.2:2888:3888;2181 server.2=172.18.0.3:2888:3888;2181 server.3=172.18.0.4:2888:3888;2181" 3487af26dee9
1. 由于 2888 、3888 不需要暴露,就不映射了;
2. 指定自己的网络,并指定 IP;
3. 每个容器之间环境是隔离的,所以容器内所用的端口一样:2181/2888/3888
运行结果:
[root@localhost admin]# docker run -d -p 2181:2181 --name zookeeper_node1 --privileged --restart always --network zoonet --ip 172.18.0.2 \
> -v /usr/local/zookeeper-cluster/node1/volumes/data:/data \
> -v /usr/local/zookeeper-cluster/node1/volumes/datalog:/datalog \
> -v /usr/local/zookeeper-cluster/node1/volumes/logs:/logs \
> -e ZOO_MY_ID=1 \
> -e "ZOO_SERVERS=server.1=172.18.0.2:2888:3888;2181 server.2=172.18.0.3:2888:3888;2181 server.3=172.18.0.4:2888:3888;2181" 3487af26dee9
50c07cf11fab2d3b4da6d8ce48d8ed4a7beaab7d51dd542b8309f781e9920c36
[root@localhost admin]# docker run -d -p 2182:2181 --name zookeeper_node2 --privileged --restart always --network zoonet --ip 172.18.0.3 \
> -v /usr/local/zookeeper-cluster/node2/volumes/data:/data \
> -v /usr/local/zookeeper-cluster/node2/volumes/datalog:/datalog \
> -v /usr/local/zookeeper-cluster/node2/volumes/logs:/logs \
> -e ZOO_MY_ID=2 \
> -e "ZOO_SERVERS=server.1=172.18.0.2:2888:3888;2181 server.2=172.18.0.3:2888:3888;2181 server.3=172.18.0.4:2888:3888;2181" 3487af26dee9
649a4dbfb694504acfe4b8e11b990877964477bb41f8a230bd191cba7d20996f
[root@localhost admin]# docker run -d -p 2183:2181 --name zookeeper_node3 --privileged --restart always --network zoonet --ip 172.18.0.4 \
> -v /usr/local/zookeeper-cluster/node3/volumes/data:/data \
> -v /usr/local/zookeeper-cluster/node3/volumes/datalog:/datalog \
> -v /usr/local/zookeeper-cluster/node3/volumes/logs:/logs \
> -e ZOO_MY_ID=3 \
> -e "ZOO_SERVERS=server.1=172.18.0.2:2888:3888;2181 server.2=172.18.0.3:2888:3888;2181 server.3=172.18.0.4:2888:3888;2181" 3487af26dee9
c8bc1b9ae9adf86e9c7f6a3264f883206c6d0e4f6093db3200de80ef39f57160
[root@localhost admin]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
c8bc1b9ae9ad 3487af26dee9 "/docker-entrypoin..." 17 seconds ago Up 16 seconds 2888/tcp, 3888/tcp, 8080/tcp, 0.0.0.0:2183->2181/tcp zookeeper_node3
649a4dbfb694 3487af26dee9 "/docker-entrypoin..." 22 seconds ago Up 21 seconds 2888/tcp, 3888/tcp, 8080/tcp, 0.0.0.0:2182->2181/tcp zookeeper_node2
50c07cf11fab 3487af26dee9 "/docker-entrypoin..." 33 seconds ago Up 32 seconds 2888/tcp, 3888/tcp, 0.0.0.0:2181->2181/tcp, 8080/tcp zookeeper_node1
[root@localhost admin]#
进入容器内部验证一下:
[root@localhost admin]# docker exec -it 50c07cf11fab bash
root@50c07cf11fab:/apache-zookeeper-3.5.5-bin# ./bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /conf/zoo.cfg
Client port found: 2181. Client address: localhost.
Mode: follower
root@50c07cf11fab:/apache-zookeeper-3.5.5-bin# exit
exit
[root@localhost admin]# docker exec -it 649a4dbfb694 bash
root@649a4dbfb694:/apache-zookeeper-3.5.5-bin# ./bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /conf/zoo.cfg
Client port found: 2181. Client address: localhost.
Mode: leader
root@649a4dbfb694:/apache-zookeeper-3.5.5-bin# exit
exit
[root@localhost admin]# docker exec -it c8bc1b9ae9ad bash
root@c8bc1b9ae9ad:/apache-zookeeper-3.5.5-bin# ./bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /conf/zoo.cfg
Client port found: 2181. Client address: localhost.
Mode: follower
root@c8bc1b9ae9ad:/apache-zookeeper-3.5.5-bin# exit
exit
[root@localhost admin]#
在验证一下创建节点
开启防火墙,以供外部访问
firewall-cmd --zone=public --add-port=2181/tcp --permanent
firewall-cmd --zone=public --add-port=2182/tcp --permanent
firewall-cmd --zone=public --add-port=2183/tcp --permanent
systemctl restart firewalld
firewall-cmd --list-all
在本地,我用 zookeeper 的客户端连接虚拟机上的集群:
可以看到连接成功!
集群安装方式二:通过 docker stack deploy 或 docker-compose 安装
这里用 docker-compose。先安装 docker-compose
[root@localhost admin]# curl -L "https://github.com/docker/compose/releases/download/1.24.1/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 617 0 617 0 0 145 0 --:--:-- 0:00:04 --:--:-- 145
100 15.4M 100 15.4M 0 0 131k 0 0:02:00 0:02:00 --:--:-- 136k
[root@localhost admin]# chmod +x /usr/local/bin/docker-compose
检查版本(验证是否安装成功)
[root@localhost admin]# docker-compose --version
docker-compose version 1.24.1, build 4667896b
卸载的话
rm /usr/local/bin/docker-compose
开始配置,新建三个挂载目录
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster/node4
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster/node5
[root@localhost admin]# mkdir /usr/local/zookeeper-cluster/node6
新建任意目录,然后在里面新建一个文件
[root@localhost admin]# mkdir DockerComposeFolder
[root@localhost admin]# cd DockerComposeFolder/
[root@localhost DockerComposeFolder]# vim docker-compose.yml
文件内容如下:(自定义网络见上面)
version: ''3.1''
services:
zoo1:
image: zookeeper
restart: always
privileged: true
hostname: zoo1
ports:
- 2181:2181
volumes: # 挂载数据
- /usr/local/zookeeper-cluster/node4/data:/data
- /usr/local/zookeeper-cluster/node4/datalog:/datalog
environment:
ZOO_MY_ID: 4
ZOO_SERVERS: server.4=0.0.0.0:2888:3888;2181 server.5=zoo2:2888:3888;2181 server.6=zoo3:2888:3888;2181
networks:
default:
ipv4_address: 172.18.0.14
zoo2:
image: zookeeper
restart: always
privileged: true
hostname: zoo2
ports:
- 2182:2181
volumes: # 挂载数据
- /usr/local/zookeeper-cluster/node5/data:/data
- /usr/local/zookeeper-cluster/node5/datalog:/datalog
environment:
ZOO_MY_ID: 5
ZOO_SERVERS: server.4=zoo1:2888:3888;2181 server.5=0.0.0.0:2888:3888;2181 server.6=zoo3:2888:3888;2181
networks:
default:
ipv4_address: 172.18.0.15
zoo3:
image: zookeeper
restart: always
privileged: true
hostname: zoo3
ports:
- 2183:2181
volumes: # 挂载数据
- /usr/local/zookeeper-cluster/node6/data:/data
- /usr/local/zookeeper-cluster/node6/datalog:/datalog
environment:
ZOO_MY_ID: 6
ZOO_SERVERS: server.4=zoo1:2888:3888;2181 server.5=zoo2:2888:3888;2181 server.6=0.0.0.0:2888:3888;2181
networks:
default:
ipv4_address: 172.18.0.16
networks: # 自定义网络
default:
external:
name: zoonet
注意 yaml 文件里不能有 tab,只能有空格。
关于 version 与 Docker 版本的关系如下:
然后执行(-d 后台启动)
docker-compose -f docker-compose.yml up -d
查看已启动的容器
[root@localhost DockerComposeFolder]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
a2c14814037d zookeeper "/docker-entrypoin..." 6 minutes ago Up About a minute 2888/tcp, 3888/tcp, 8080/tcp, 0.0.0.0:2183->2181/tcp dockercomposefolder_zoo3_1
50310229b216 zookeeper "/docker-entrypoin..." 6 minutes ago Up About a minute 2888/tcp, 3888/tcp, 0.0.0.0:2181->2181/tcp, 8080/tcp dockercomposefolder_zoo1_1
475d8a9e2d08 zookeeper "/docker-entrypoin..." 6 minutes ago Up About a minute 2888/tcp, 3888/tcp, 8080/tcp, 0.0.0.0:2182->2181/tcp dockercomposefolder_zoo2_1
进入一个容器
[root@localhost DockerComposeFolder]# docker exec -it a2c14814037d bash
root@zoo3:/apache-zookeeper-3.5.5-bin# ./bin/zkCli.sh
Connecting to localhost:2181
....
WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0]
[zk: localhost:2181(CONNECTED) 1] ls /
[zookeeper]
[zk: localhost:2181(CONNECTED) 2] create /hi
Created /hi
[zk: localhost:2181(CONNECTED) 3] ls /
[hi, zookeeper]
进入另一个容器
[root@localhost DockerComposeFolder]# docker exec -it 50310229b216 bash
root@zoo1:/apache-zookeeper-3.5.5-bin# ./bin/zkCli.sh
Connecting to localhost:2181
...
WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0] ls /
[hi, zookeeper]
本地客户端连接集群:
zkCli.cmd -server 192.168.192.128:2181,192.168.192.128:2182,192.168.192.128:2183
查看
停止所有活动容器
删除所有已停止的容器
更多 docker-compose 的命令:
[root@localhost DockerComposeFolder]# docker-compose --help
Define and run multi-container applications with Docker.
Usage:
docker-compose [-f <arg>...] [options] [COMMAND] [ARGS...]
docker-compose -h|--help
Options:
-f, --file FILE Specify an alternate compose file
(default: docker-compose.yml)
-p, --project-name NAME Specify an alternate project name
(default: directory name)
--verbose Show more output
--log-level LEVEL Set log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
--no-ansi Do not print ANSI control characters
-v, --version Print version and exit
-H, --host HOST Daemon socket to connect to
--tls Use TLS; implied by --tlsverify
--tlscacert CA_PATH Trust certs signed only by this CA
--tlscert CLIENT_CERT_PATH Path to TLS certificate file
--tlskey TLS_KEY_PATH Path to TLS key file
--tlsverify Use TLS and verify the remote
--skip-hostname-check Don''t check the daemon''s hostname against the
name specified in the client certificate
--project-directory PATH Specify an alternate working directory
(default: the path of the Compose file)
--compatibility If set, Compose will attempt to convert keys
in v3 files to their non-Swarm equivalent
Commands:
build Build or rebuild services
bundle Generate a Docker bundle from the Compose file
config Validate and view the Compose file
create Create services
down Stop and remove containers, networks, images, and volumes
events Receive real time events from containers
exec Execute a command in a running container
help Get help on a command
images List images
kill Kill containers
logs View output from containers
pause Pause services
port Print the public port for a port binding
ps List containers
pull Pull service images
push Push service images
restart Restart services
rm Remove stopped containers
run Run a one-off command
scale Set number of containers for a service
start Start services
stop Stop services
top Display the running processes
unpause Unpause services
up Create and start containers
version Show the Docker-Compose version information
Docker 安装 Zookeeper 集群
一、 安装 Docker
(略)
二、 安装 Docker Compose
(略)
三、 编写 docker-compose.yml 文件
3.1 新建配置文件
touch cluster.yml
vim cluster.yml
cluster.yml
配置如下
version: ''3.7''
services:
zoo1:
image: zookeeper:3.5.5
restart: always
hostname: zoo1
container_name: zookeeper_1
volumes:
- /usr/local/use_data/zookeeper/cluster/zoo_1/data:/data
- /usr/local/use_data/zookeeper/cluster/zoo_1/log:/datalog
ports:
- 2181:2181
environment:
ZOO_MY_ID: 1
ZOO_SERVERS: server.1=0.0.0.0:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=zoo3:2888:3888;2181
zoo2:
image: zookeeper:3.5.5
restart: always
hostname: zoo2
container_name: zookeeper_2
volumes:
- /usr/local/use_data/zookeeper/cluster/zoo_2/data:/data
- /usr/local/use_data/zookeeper/cluster/zoo_2/log:/datalog
ports:
- 2182:2181
environment:
ZOO_MY_ID: 2
ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=0.0.0.0:2888:3888;2181 server.3=zoo3:2888:3888;2181
zoo3:
image: zookeeper:3.5.5
restart: always
hostname: zoo3
container_name: zookeeper_3
volumes:
- /usr/local/use_data/zookeeper/cluster/zoo_3/data:/data
- /usr/local/use_data/zookeeper/cluster/zoo_3/log:/datalog
ports:
- 2183:2181
environment:
ZOO_MY_ID: 3
ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=0.0.0.0:2888:3888;2181
3.2 启动容器
$ docker-compose -f ./cluster.yml up -d
3.3 查看容器状态
$ docker-compose -f ./cluster.yml ps
3.4 查看容器日志
$ docker-compose -f ./cluster.yml logs zoo1
四、 使用图形化界面
4.1 下载 ZooInspector 工具
下载地址
4.2 运行 jar
- 打开
.\ZooInspector\build
- 打开
cmd
- 执行
java -jar zookeeper-dev-ZooInspector.jar
4.3 连接到 zookeeper
4.4 新增节点
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