Docker:第四章:docker配置阿里云鏡像加速并且安裝mysql以及安裝redis和安裝ES
docker配置阿里云鏡像加速
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安裝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 將容器的 3306 端口映射到主機(jī)的 3306 端口
--name my-mysql 啟動后容器名為 my-mysql
-v $PWD/conf:/etc/mysql 將主機(jī)當(dāng)前目錄下的 conf/ 掛載到容器的 /etc/mysql (conf目錄為mysql的配置文件,不掛載也沒問題)
-v $PWD/logs:/logs 將主機(jī)當(dāng)前目錄下的 logs 目錄掛載到容器的 /logs(logs目錄為mysql的日志目錄,不掛載也沒影響)
-v $PWD/data:/var/lib/mysql 將主機(jī)當(dāng)前目錄下的data目錄掛載到容器的 /var/lib/mysql
(data目錄為mysql配置的數(shù)據(jù)文件存放路徑,這個還是建議掛載,是存儲數(shù)據(jù)的,容器down掉,還能再次掛載數(shù)據(jù)。)
-e MYSQL_ROOT_PASSWORD=123456 初始化 root 用戶的密碼
配置安全組,使用工具連接
docker安裝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安裝jdk
docker pull java
docker run -d -it --name java java
Docker安裝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安裝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