Docker:第四章:docker配置阿里云镜像加速并且安装mysql以及安装redis和安装ES

docker配置阿里云镜像加速

    sudo mkdir -p /etc/docker

        sudo tee /etc/docker/daemon.json <<-'EOF'
        {
          "registry-mirrors": ["https://jdxszd2m.mirror.aliyuncs.com"]
        }
        EOF

    sudo systemctl daemon-reload
    sudo systemctl restart docker

docker安装mysql

    sudo docker pull mysql:5.7
    sudo docker images
    docker run -p 3306:3306 --name mysql -v /mysql/log:/var/log/mysql -v /mysql/conf:/etc/mysql -v /mysql/data:/var/lib/mysql -e MYSQL_ROOT_PASSWORD=root -d mysql:5.7

    -p 3306:3306  将容器的 3306 端口映射到主机的 3306 端口
     
    --name my-mysql     启动后容器名为 my-mysql  
     
    -v $PWD/conf:/etc/mysql   将主机当前目录下的 conf/ 挂载到容器的 /etc/mysql (conf目录为mysql的配置文件,不挂载也没问题)
     
    -v $PWD/logs:/logs 将主机当前目录下的 logs 目录挂载到容器的 /logs(logs目录为mysql的日志目录,不挂载也没影响)
     
    -v $PWD/data:/var/lib/mysql 将主机当前目录下的data目录挂载到容器的 /var/lib/mysql (data目录为mysql配置的数据文件存放路径,这个还是建议挂载,是存储数据的,容器down掉,还能再次挂载数据。)
     
    -e MYSQL_ROOT_PASSWORD=123456 初始化 root 用户的密码

配置安全组,使用工具连接

docker安装redis

    docker pull redis
    mkdir -p /mydata/redis/conf
    touch /mydata/redis/conf/redis.conf
    docker run -p 6379:6379 --name redis -v /mydata/redis/data:/data -v /mydata/redis/config/redis.config:/etc/redis/redis.conf  -d redis redis-server /etc/redis/redis.conf

Docker安装jdk

    docker pull java
    docker run -d -it --name java java

Docker安装ES

    docker pull elasticsearch:7.4.2
    sudo mkdir -p /mydata/myelasticsearch/config
    sudo mkdir -p /mydata/myelasticsearch/data
    cd /mydata/myelasticsearch/config
    echo "http.host: 0.0.0.0">>/mydata/myelasticsearch/config/elasticsearch.yml
    docker run --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx128m" -v /mydata/myelasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v /mydata/myelasticsearch/data:/usr/share/elasticsearch/data -v /mydata/myelasticsearch/plugins:/usr/share/elasticsearch/plugins -d elasticsearch:7.4.2

Docker安装kibana

    docker pull kibana:7.4.2
    http://49.235.111.232:9200/
    name    "8054760198c3"
    docker inspect 8054760198c3

 


    docker run --name kibana -e ELASTICSEARCH_URL=http://172.18.0.5:9200 -p 5601:5601 -d kibana:7.4.2