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-engine2. 安装基础依赖
yum install -y yum-utils device-mapper-persistent-data lvm23. 配置 docker yum 源
sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo4. 安装并启动 docker
yum install -y docker-ce-19.03.8 docker-ce-cli-19.03.8 containerd.iosystemctl enable docker
systemctl start docker5. 查看 docker 版本
docker --version6. 配置 docker 加速
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": ["https://t1gbabbr.mirror.aliyuncs.com"]
}
EOF7. 设置开机自启动
sudo systemctl daemon-reload
sudo systemctl restart dockerDocker-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-composesudo chmod +x /usr/local/bin/docker-compose2. 查看版本
docker-compose --versionDocker 部署 Nginx
1. 拉取镜像
docker pull nginx:1.202. 运行容器
docker run --name nginx -d -p 80:80 nginx:1.203. 进入容器内部
docker exec -it nginx bash4. 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:5.72. 运行容器
docker run --name mysql -d -e MYSQL_ROOT_PASSWORD=123456 mysql:5.73. 进入容器内部
docker exec -it mysql bash4. 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=06. 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:6.2.62. 运行容器
docker run --name redis -d -p 6379:6379 redis:6.2.63. 进入容器内部
docker exec -it redis bash4. 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 no5. 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
进入客户端
docker exec -it redis redis-cli登录
auth 123456
Docker 部署 MongoDB
1. 拉取镜像
docker pull mongo:5.0.82. 运行容器
docker run --name mongo -d -p 27017:27017 mongo:5.0.83. 进入容器内部
docker exec -it mongo bash4. 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.confMongo带验证
--auth
7. MongoDB 操作
进入mongo客户端
docker exec -it mongo mongo进入
admin数据库use admin创建系统用户
db.createUser({ user:'root',pwd:'123456',roles:[ { role:'userAdminAnyDatabase', db: 'admin'},"readWriteAnyDatabase"]});用户登录命令
db.auth('root','123456');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:3.6.32. 运行容器
docker run --name zookeeper -d -p 2181:2181 -p 2888:2888 -p 3888:3888 zookeeper:3.6.33. 进入容器内部
docker exec -it zookeeper bash4. 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;21816. 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
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:2.8.12. 运行容器
docker run --name kafka -d -e ALLOW_PLAINTEXT_LISTENER=yes bitnami/kafka:2.8.1 3. 进入容器内部
docker exec -it kafka bash4. 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=18000
group.initial.rebalance.delay.ms=0
auto.create.topics.enable=true
max.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-management3. 进入容器内部
docker exec -it rabbitmq bash4. 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 = 156726. 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:6.8.222. 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：
在centos虚拟机中，修改配置sysctl.conf
vim /etc/sysctl.conf加入如下配置
vm.max_map_count=262144启用配置
sysctl -p
3. 进入容器内部
docker exec -it elasticsearch bash4. 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/logs elasticsearch: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:6.8.222. 运行容器
docker run -d --name kibana -e ELASTICSEARCH_URL=http://ip:9200 -p 5601:5601 kibana:6.8.223. 进入容器内部
docker exec -it kibana bash4. 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: true6. 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/