Docker 安装 1. 卸载旧版本

sudo yum remove docker \ docker-client \ docker-client-latest \ docker-common \ docker-latest \ docker-latest-logrotate \ docker-logrotate \ docker-engine

2. 安装基础依赖

yum install -y yum-utils device-mapper-persistent-data lvm2

3. 配置 docker yum 源

sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

4. 安装并启动 docker

yum install -y docker-ce-19.03.8 docker-ce-cli-19.03.8 containerd.io

systemctl enable docker systemctl start docker

5. 查看 docker 版本

docker --version

6. 配置 docker 加速

sudo mkdir -p /etc/docker sudo tee /etc/docker/daemon.json <<-'EOF' { "registry-mirrors": ["https://t1gbabbr.mirror.aliyuncs.com"] } EOF

7. 设置开机自启动

sudo systemctl daemon-reload sudo systemctl restart docker

Docker-Compose 安装 1. 安装

sudo curl -L https://github.com/docker/compose/releases/download/1.25.5/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose

sudo chmod +x /usr/local/bin/docker-compose

2. 查看版本

docker-compose --version

Docker 部署 Nginx 1. 拉取镜像

docker pull nginx:1.20

2. 运行容器

docker run --name nginx -d -p 80:80 nginx:1.20

3. 进入容器内部

docker exec -it nginx bash

4. 拷贝配置文件

docker cp nginx:/etc/nginx /data/software/docker/nginx/

5. 配置文件
nginx.conf

usernginx; worker_processesauto; error_log/var/log/nginx/error.log notice; pid/var/run/nginx.pid; events { worker_connections1024; }http { include/etc/nginx/mime.types; default_typeapplication/octet-stream; log_formatmain'$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; access_log/var/log/nginx/access.logmain; sendfileon; #tcp_nopushon; keepalive_timeout65; #gzipon; include /etc/nginx/conf.d/*.conf; }

6. 数据卷挂载

docker run --name nginx -v /data/software/docker/nginx/conf:/etc/nginx -v /data/software/docker/nginx/data:/usr/share/nginx -v /data/software/docker/nginx/log:/var/log/nginx -p 80:80 -d nginx:1.20

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/nginx/conf:/etc/nginx

  
  
• 挂载数据
  

  -v /data/software/docker/nginx/data:/usr/share/nginx

  
  
• 挂载日志文件
  

  -v /data/software/docker/nginx/log:/var/log/nginx

  
  

Docker 部署 MySQL 1. 拉取镜像

docker pull mysql:5.7

2. 运行容器

docker run --name mysql -d -e MYSQL_ROOT_PASSWORD=123456 mysql:5.7

3. 进入容器内部

docker exec -it mysql bash

4. 拷贝配置文件

docker cp mysql:/etc/mysql/mysql.conf.d /data/software/docker/mysql/conf/

5. 配置文件
mysqld.cnf

[mysqld] pid-file= /var/run/mysqld/mysqld.pid socket= /var/run/mysqld/mysqld.sock datadir= /var/lib/mysql log-error= /var/log/mysql/error.log # By default we only accept connections from localhost bind-address= 0.0.0.0 # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0

6. 数据卷挂载

docker run --name mysql -d -v /data/software/docker/mysql/conf:/etc/mysql/conf.d -v /data/software/docker/mysql/data:/var/lib/mysql -v /data/software/docker/mysql/log:/var/log/mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql:5.7

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/mysql/conf:/etc/mysql/conf.d

  
  
• 挂载数据
  

  -v /data/software/docker/mysql/data:/var/lib/mysql

  
  
• 挂载日志文件
  

  -v /data/software/docker/mysql/log:/var/log/mysql

  
  注意：
  /data/software/docker/mysql/log需要有777权限
  

  chmod 777 /data/software/docker/mysql/log/

  
  
• 指定root用户命令
  

  -e MYSQL_ROOT_PASSWORD=123456

  
  

Docker 部署 Redis 1. 拉取镜像

docker pull redis:6.2.6

2. 运行容器

docker run --name redis -d -p 6379:6379redis:6.2.6

3. 进入容器内部

docker exec -it redis bash

4. 配置文件
redis.conf

port 6379 bind 0.0.0.0 requirepass 123456 daemonize no pidfile /var/run/redis_6379.pid logfile "/var/log/redis.log" dbfilename dump.rdb dir /data/ databases 16 appendonly yes appendfilename "appendonly.aof" # appendfsync always appendfsync everysec # appendfsync no

5. 数据卷挂载

docker run --name redis -d -p 6379:6379 -v /data/software/docker/redis/conf:/usr/local/etc/redis -v /data/software/docker/redis/data:/data -v /data/software/docker/redis/log:/var/log redis:6.2.6 redis-server /usr/local/etc/redis/redis.conf

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/redis/conf:/usr/local/etc/redis

  
  
• 挂载数据
  

  -v /data/software/docker/redis/data:/data

  
  
• 挂载日志文件
  

  -v /data/software/docker/redis/log:/var/log/redis.log

  
  注意：
  /data/software/docker/redis/log需要有777权限
  

  chmod 777 /data/software/docker/redis/log/

  
  
• 指定配置文件
  

  redis-server /usr/local/etc/redis/redis.conf

  
  

6. Redis 客户端

1. 进入客户端
   

   docker exec -it redis redis-cli

   
   
2. 登录
   

   auth 123456

   
   

Docker 部署 MongoDB 1. 拉取镜像

docker pull mongo:5.0.8

2. 运行容器

docker run --name mongo -d -p 27017:27017 mongo:5.0.8

3. 进入容器内部

docker exec -it mongo bash

4. 拷贝配置文件

docker cp mongo:/etc/mongod.conf.orig /data/software/docker/mongo/conf/

5. 配置文件
mongod.conf

# mongod.conf# for documentation of all options, see: #http://docs.mongodb.org/manual/reference/configuration-options/# Where and how to store data. storage: dbPath: /data/db journal: enabled: true #engine: #wiredTiger:# where to write logging data. systemLog: destination: file logAppend: true path: /var/log/mongodb/mongod.log# network interfaces net: port: 27017 bindIp: 0.0.0.0# how the process runs processManagement: timeZoneInfo: /usr/share/zoneinfo#security:#operationProfiling:#replication:#sharding:## Enterprise-Only Options:#auditLog:#snmp:

6. 数据卷挂载

docker run --name mongo -d -v /data/software/docker/mongo/conf:/data/configdb -v /data/software/docker/mongo/data:/data/db -v /data/software/docker/mongo/log:/var/log/mongodb -p 27017:27017 mongo:5.0.8 --config /data/configdb/mongod.conf --auth

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/mongo/conf:/data/configdb

  
  
• 挂载数据
  

  -v /data/software/docker/mongo/data:/data/db

  
  
• 挂载日志文件
  

  -v /data/software/docker/mongo/log:/var/log/mongodb

  
  注意：
  /data/software/docker/mongo/log需要有777权限
  

  chmod 777 /data/software/docker/mongo/log/

  
  
• 指定配置文件
  

  --config /data/configdb/mongod.conf

  
  
• Mongo带验证
  

  --auth

  
  

7. MongoDB 操作

1. 进入mongo客户端
   

   docker exec -it mongo mongo

   
   
2. 进入admin数据库
   

   use admin

   
   
3. 创建系统用户
   

   db.createUser({ user:'root',pwd:'123456',roles:[ { role:'userAdminAnyDatabase', db: 'admin'},"readWriteAnyDatabase"]});

   
   
4. 用户登录命令
   

   db.auth('root','123456');

   
   
5. 创建指定数据库用户命令
   

   db.createUser({user:"test",pwd:"123456",roles:[{role:'dbOwner',db:'test'}]})

   
   

Docker 部署 Zookeeper 1. 拉取镜像

docker pull zookeeper:3.6.3

2. 运行容器

docker run --name zookeeper -d -p 2181:2181 -p 2888:2888 -p 3888:3888 zookeeper:3.6.3

3. 进入容器内部

docker exec -it zookeeper bash

4. 拷贝配置文件

docker cp zookeeper:/conf/zoo.cfg /data/software/docker/zookeeper/conf/

5. 配置文件
zoo.cfg

dataDir=/data dataLogDir=/datalog tickTime=2000 initLimit=5 syncLimit=2 autopurge.snapRetainCount=3 autopurge.purgeInterval=0 maxClientCnxns=60 standaloneEnabled=false admin.enableServer=false server.1=localhost:2888:3888; 2181

6. 数据卷挂载

docker run --name zookeeper -d -v /data/software/docker/zookeeper/conf:/conf -v /data/software/docker/zookeeper/data:/data -v /data/software/docker/zookeeper/log:/datalog -p 2181:2181 -p 2888:2888 -p 3888:3888 zookeeper:3.6.3

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/zookeeper/conf:/conf

  
  
• 挂载数据
  

  -v /data/software/docker/zookeeper/data:/data

  
  
• 挂载日志文件
  

  -v /data/software/docker/zookeeper/log:/datalog

  
  

7. 客户端操作

1. 进入Zookeeper客户端
   

   docker exec -it zookeeper ./bin/zkCli.sh

   
   

Docker 部署 Kafka 1. 拉取镜像

docker pull bitnami/kafka:2.8.1

2. 运行容器

docker run --name kafka -d -e ALLOW_PLAINTEXT_LISTENER=yesbitnami/kafka:2.8.1

3. 进入容器内部

docker exec -it kafka bash

4. 拷贝配置文件

docker cp kafka:/opt/bitnami/kafka/config /data/software/docker/kafka/conf/

5. 配置文件
server.properties

############################# Server Basics ############################## The id of the broker. This must be set to a unique integer for each broker. broker.id=0############################# Socket Server Settings ############################# listeners=PLAINTEXT://0.0.0.0:9092# 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://ip:9092# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details #listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL# The number of threads that the server uses for receiving requests from the network and sending responses to the network num.network.threads=3# The number of threads that the server uses for processing requests, which may include 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 separated list of directories under which to store log files log.dirs=/bitnami/kafka/data# 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############################# Internal Topic Settings############################# # The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state" # For anything other than development testing, a value greater than 1 is recommended to ensure availability such as 3. offsets.topic.replication.factor=1 transaction.state.log.replication.factor=1 transaction.state.log.min.isr=1############################# Log Retention Policy ############################# # The minimum age of a log file to be eligible for deletion due to age log.retention.hours=168# A size-based retention policy for logs. Segments are pruned from the log unless the remaining # segments drop below log.retention.bytes. Functions independently of log.retention.hours. #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.connect=ip:2181/kafka # Timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=18000group.initial.rebalance.delay.ms=0auto.create.topics.enable=truemax.partition.fetch.bytes=1048576 max.request.size=1048576 sasl.enabled.mechanisms=PLAIN,SCRAM-SHA-256,SCRAM-SHA-512 sasl.mechanism.inter.broker.protocol=

6. 数据卷挂载

docker run --name kafka -d -v /data/software/docker/kafka/conf:/bitnami/kafka/config -v /data/software/docker/kafka/data:/bitnami/kafka/data -p 9092:9092 -e ALLOW_PLAINTEXT_LISTENER=yes bitnami/kafka:2.8.1

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/kafka/conf:/bitnami/kafka/config

  
  
• 挂载数据
  

  -v /data/software/docker/kafka/data:/bitnami/kafka/data -p 9092:9092

  
  注意：
  /data/software/docker/kafka/data需要有777权限
  

  chmod 777 /data/software/docker/kafka/data/

  
  

Docker 部署 RabbitMQ 1. 拉取镜像

docker pull rabbitmq:3.8-management

说明：镜像带management表示已经安装RabbitMQ后台管理插件。
2. 运行容器

docker run --name rabbitmq -d -p 5672:5672 -p 15672:15672 rabbitmq:3.8-management

3. 进入容器内部

docker exec -it rabbitmq bash

4. 拷贝配置文件

docker cp rabbitmq:/etc/rabbitmq /data/software/docker/rabbitmq/conf/

5. 配置文件
rabbitmq.conf

loopback_users.guest = false listeners.tcp.default = 5672 management.tcp.port = 15672

6. 数据卷挂载

docker run --name rabbitmq -p 5672:5672 -p 15672:15672 -v /data/software/docker/rabbitmq/conf:/etc/rabbitmq -v /data/software/docker/rabbitmq/data:/var/lib/rabbitmq/mnesia -v /data/software/docker/rabbitmq/log:/var/log/rabbitmq/log -e RABBITMQ_DEFAULT_USER=guest -e RABBITMQ_DEFAULT_PASS=123456-d rabbitmq:3.8-management

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/rabbitmq/conf:/etc/rabbitmq

  
  
• 挂载数据
  

  -v /data/software/docker/rabbitmq/data:/var/lib/rabbitmq/mnesia

  
  
• 挂载日志文件
  

  -v /data/software/docker/rabbitmq/log:/var/log/rabbitmq/log

  
  
• 指定后台管理界面的登录用户名、密码
  

  -e RABBITMQ_DEFAULT_USER=guest -e RABBITMQ_DEFAULT_PASS=123456

  
  

Docker 部署 Elastic Search 安装Elastic Search
1. 拉取镜像

docker pull elasticsearch:6.8.22

2. 运行容器

docker run --name elasticsearch -d elasticsearch:6.8.22

启动报错：

[1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

解决方法：

1. 在centos虚拟机中，修改配置sysctl.conf
   

   vim /etc/sysctl.conf

   
   
2. 加入如下配置
   

   vm.max_map_count=262144

   
   
3. 启用配置
   

   sysctl -p

   
   

3. 进入容器内部

docker exec -it elasticsearch bash

4. 拷贝配置文件

docker cp elasticsearch:/usr/share/elasticsearch/config/ /data/software/docker/elasticsearch/conf/

5. 配置文件 elasticsearch.yml

cluster.name: "docker-cluster" network.host: 0.0.0.0

说明：
注意指定jvm.options中的-Xms512m -Xmx512m参数，分配内存应与服务器环境适配，设置内存过大，会导致系统崩溃。
6. 数据卷挂载

docker run --name elasticsearch -d -p 9200:9200 -p 9300:9300 -v /data/software/docker/elasticsearch/conf:/usr/share/elasticsearch/config -v /data/software/docker/elasticsearch/data:/usr/share/elasticsearch/data -v /data/software/docker/elasticsearch/log:/usr/share/elasticsearch/logselasticsearch:6.8.22

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/elasticsearch/conf:/usr/share/elasticsearch/config

  
  
• 挂载数据
  

  -v /data/software/docker/elasticsearch/data:/usr/share/elasticsearch/data

  
  
• 挂载日志文件
  

  -v /data/software/docker/elasticsearch/log:/usr/share/elasticsearch/logs

  
  注意：
  /data/software/docker/elasticsearch/data需要有777权限
  

  chmod 777 /data/software/docker/elasticsearch/data/

  
  /data/software/docker/elasticsearch/log需要有777权限
  

  chmod 777 /data/software/docker/elasticsearch/log/

  
  

安装 Kibana
1. 拉取镜像

docker pull kibana:6.8.22

2. 运行容器

docker run -d --name kibana -e ELASTICSEARCH_URL=http://ip:9200 -p 5601:5601 kibana:6.8.22

3. 进入容器内部

docker exec -it kibana bash

4. 拷贝配置文件

docker cp kibana:/usr/share/kibana/config/ /data/software/docker/kibana/conf/

5. 配置文件 kibana.yml

server.name: kibana server.host: "0" elasticsearch.hosts: [ "http://ip:9200" ] xpack.monitoring.ui.container.elasticsearch.enabled: true

6. 数据卷挂载

docker run -d --name kibana -v /data/software/docker/kibana/conf:/usr/share/kibana/config -v /data/software/docker/kibana/data:/usr/share/kibana/data -p 5601:5601 kibana:6.8.22

命令说明：

• 挂载配置文件
  

  -v /data/software/docker/kibana/conf:/usr/share/kibana/config

  
  
• 【Docker|Docker 部署中间件】挂载数据
  

  /data/software/docker/kibana/data:/usr/share/kibana/data

  
  注意：
  /data/software/docker/kibana/data需要有777权限
  

  chmod 777 /data/software/docker/kibana/data/

  
  

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