Docker 装置

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. 装置根底依赖

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. 装置并启动 docker

yum install -y docker-ce-19.03.8 docker-ce-cli-19.03.8 containerd.io
systemctl enable dockersystemctl start docker

5. 查看 docker 版本

docker --version

6. 配置 docker 减速

sudo mkdir -p /etc/dockersudo 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-reloadsudo systemctl restart docker

Docker-Compose 装置

1. 装置

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. 进入容器外部

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

user  nginx;worker_processes  auto;error_log  /var/log/nginx/error.log notice;pid        /var/run/nginx.pid;events {    worker_connections  1024;}http {    include       /etc/nginx/mime.types;    default_type  application/octet-stream;    log_format  main  '$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.log  main;    sendfile        on;    #tcp_nopush     on;    keepalive_timeout  65;    #gzip  on;    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

命令阐明:

  • 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. 进入容器外部

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.pidsocket          = /var/run/mysqld/mysqld.sockdatadir         = /var/lib/mysqllog-error       = /var/log/mysql/error.log# By default we only accept connections from localhostbind-address    = 0.0.0.0# Disabling symbolic-links is recommended to prevent assorted security riskssymbolic-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

命令阐明:

  • 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

    留神:

    /data/software/docker/mysql/log须要有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 6379:6379  redis:6.2.6

3. 进入容器外部

docker exec -it redis bash

4. 配置文件

redis.conf

port 6379     bind 0.0.0.0requirepass 123456daemonize no                               pidfile /var/run/redis_6379.pidlogfile "/var/log/redis.log"dbfilename dump.rdbdir /data/databases 16appendonly yesappendfilename "appendonly.aof"# appendfsync alwaysappendfsync 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

命令阐明:

  • 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

    留神:

    /data/software/docker/redis/log须要有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. 进入容器外部

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 interfacesnet:  port: 27017  bindIp: 0.0.0.0# how the process runsprocessManagement:  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

命令阐明:

  • 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

    留神:

    /data/software/docker/mongo/log须要有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. 创立零碎用户

    db.createUser({ user:'root',pwd:'123456',roles:[ { role:'userAdminAnyDatabase', db: 'admin'},"readWriteAnyDatabase"]});
  4. 用户登录命令

    db.auth('root','123456');
  5. 创立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. 进入容器外部

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=/datadataLogDir=/datalogtickTime=2000initLimit=5syncLimit=2autopurge.snapRetainCount=3autopurge.purgeInterval=0maxClientCnxns=60standaloneEnabled=falseadmin.enableServer=falseserver.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

命令阐明:

  • 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=yes  bitnami/kafka:2.8.1 

3. 进入容器外部

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 networknum.network.threads=3# The number of threads that the server uses for processing requests, which may include disk I/Onum.io.threads=8# The send buffer (SO_SNDBUF) used by the socket serversocket.send.buffer.bytes=102400# The receive buffer (SO_RCVBUF) used by the socket serversocket.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 fileslog.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=1transaction.state.log.replication.factor=1transaction.state.log.min.isr=1############################# Log Retention Policy ############################## The minimum age of a log file to be eligible for deletion due to agelog.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 policieslog.retention.check.interval.ms=300000############################# Zookeeper #############################zookeeper.connect=ip:2181/kafka# Timeout in ms for connecting to zookeeperzookeeper.connection.timeout.ms=18000group.initial.rebalance.delay.ms=0auto.create.topics.enable=truemax.partition.fetch.bytes=1048576max.request.size=1048576sasl.enabled.mechanisms=PLAIN,SCRAM-SHA-256,SCRAM-SHA-512sasl.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

命令阐明:

  • 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

    留神:

    /data/software/docker/kafka/data须要有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

阐明:镜像带management示意曾经装置RabbitMQ后盾治理插件。

2. 运行容器

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

3. 进入容器外部

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 = falselisteners.tcp.default = 5672management.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

命令阐明:

  • 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
  • 指定后盾治理界面的登录用户名、明码

    -e RABBITMQ_DEFAULT_USER=guest -e RABBITMQ_DEFAULT_PASS=123456

Docker 部署 Elastic Search

装置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]

解决办法:

  1. 在centos虚拟机中,批改配置sysctl.conf

    vim /etc/sysctl.conf
  2. 退出如下配置

    vm.max_map_count=262144
  3. 启用配置

    sysctl -p

3. 进入容器外部

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

阐明:

留神指定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,会导致系统解体。

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/logs  elasticsearch:6.8.22

命令阐明:

  • 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

    留神:

    /data/software/docker/elasticsearch/data须要有777权限

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

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

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

装置 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. 进入容器外部

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: kibanaserver.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

命令阐明:

  • 挂载配置文件

     -v /data/software/docker/kibana/conf:/usr/share/kibana/config
  • 挂载数据

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

    留神:

    /data/software/docker/kibana/data须要有777权限

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