容器化部署GreatSQL 失败
1.本地情况docker : Docker version 20.10.7, build f0df350
system:Centos 7
2.执行情况
1.拉取镜像
docker pull registry.cn-beijing.aliyuncs.com/greatsql/greatsql:latest
2.运行容器
docker run --name greatsql -e MYSQL_ROOT_PASSWORD=1 -e MYSQL_ROOT_HOST='%' -d 2792645e3d14
3.查看运行情况
docker logs greatsql发现 一直在init process 最后失败
data:image/png;base64,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
请先看下手册,跟着手册安装:
https://greatsql.cn/docs/8.0.32- ... ll-with-docker.html
手册中提到“个别时候,可能会发生Docker容器创建异常,例如下面这样”
这种情况下,请先检查是否关闭了 SELinux
请先跟着手册检查一下
进入容器查看 /data/GreatSQL/error.log 错误日志文件,分析具体原因
也可以参考这个帖子 https://greatsql.cn/thread-1038-1-2.html 试试这个来,如果判断docker容器本身的问题的话
dockerd --debug
页:
[1]