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开源应用容器引擎Docker_从头实现docker引擎

从头实现docker引擎

Docker

Java 是第一大编程语言和开发平台。它有助于企业降低成本、缩短开发周期、推动创新以及改善应用服务。如今全球有数百万开发人员运行着超过 51 亿个 Java 虚拟机,Java 仍是企业和开发人员的首选开发平台。
  

课程内容的介绍

1. Docker介绍及安装
2. Docker常用命令介绍
3. Docker镜像介绍
4. Docker数据卷
5. Docker常用软件安装
  

一、Docker介绍及安装

1.什么是Docker
Docker是基于Go语言实现的云开源项目。
Docker的主要目标是Build,Ship and Run Any App,Anywhere,也就是通过对应用组件的封装、分发、部署、运行等生命周期的管理,使用户的APP(可以是一个WEB应用或数据库应用等等)及其运行环境能够做到一次封装,到处运行。

  
Linux 容器技术的出现就解决了这样一个问题,而 Docker 就是在它的基础上发展过来的。将应用运行在 Docker 容器上面,而 Docker 容器在任何操作系统上都是一致的,这就实现了跨平台、跨服务器。只需要一次配置好环境,换到别的机子上就可以一键部署好,大大简化了操作。
  
解决了运行环境和配置问题软件容器,方便做持续集成并有助于整体发布的容器虚拟化技术。
  
2.Docker能干吗?
2.1以前的虚拟化技术
虚拟机(virtual machine)就是带环境安装的一种解决方案。
它可以在一种操作系统里面运行另一种操作系统,比如在Windows 系统里面运行Linux 系统。应用程序对此毫无感知,因为虚拟机看上去跟真实系统一模一样,而对于底层系统来说,虚拟机就是一个普通文件,不需要了就删掉,对其他部分毫无影响。这类虚拟机完美的运行了另一套系统,能够使应用程序,操作系统和硬件三者之间的逻辑不变。

  
虚拟机的缺点:
1. 资源占用多
2. 冗余步骤多
3. 启动慢
  
2.2 容器虚拟化技术
由于前面虚拟机存在这些缺点,Linux 发展出了另一种虚拟化技术:Linux 容器(Linux Containers,缩写为 LXC)。
Linux 容器不是模拟一个完整的操作系统,而是对进程进行隔离。有了容器,就可以将软件运行所需的所有资源打包到一个隔离的容器中。容器与虚拟机不同,不需要捆绑一整套操作系统,只需要软件工作所需的库资源和设置。系统因此而变得高效轻量并保证部署在任何环境中的软件都能始终如一地运行。

   

比较了 Docker 和传统虚拟化方式的不同之处:
1. 传统虚拟机技术是虚拟出一套硬件后,在其上运行一个完整操作系统,在该系统上再运行所需应用进程;
2. 而容器内的应用进程直接运行于宿主的内核,容器内没有自己的内核,而且也没有进行硬件虚拟。因此容器要比传统虚拟机更为轻便。
3. 每个容器之间互相隔离,每个容器有自己的文件系统 ,容器之间进程不会相互影响,能区分计算资源。
  
2.3 实际的运行
Docker作为开发人员需要掌握,作为运维人员必须掌握。
    
一次构建,随处运行:
1. 更快速的应用交付和部署。
2. 更便捷的升级和扩缩容。
3. 更简单的系统运维。
4. 更高效的计算资源利用。
    
3.相关资源
  
4.docker安装的前提环境
CentOS Docker 安装
Docker支持以下的CentOS版本:
CentOS 7 (64-bit) 8
CentOS 6.5 (64-bit) 或更高的版本
   
前提条件
目前,CentOS 仅发行版本中的内核支持 Docker。
Docker 运行在 CentOS 7 上,要求系统为64位、系统内核版本为 3.10 以上。
Docker 运行在 CentOS-6.5 或更高的版本的 CentOS 上,要求系统为64位、系统内核版本为 2.6.32-431 或者更高版本。
查看自己的内核
uname命令用于打印当前系统相关信息(内核版本号、硬件架构、主机名称和操作系统类型等)。
  
5.docker的基本组成

  
5.1 镜像(image)
Docker 镜像(Image)就是一个只读的模板。镜像可以用来创建 Docker 容器,一个镜像可以创建很多容器。

  
5.2 容器(container)
Docker 利用容器(Container)独立运行的一个或一组应用。容器是用镜像创建的运行实例。它可以被启动、开始、停止、删除。每个容器都是相互隔离的、保证安全的平台。可以把容器看做是一个简易版的 Linux 环境(包括root用户权限、进程空间、用户空间和网络空间等)和运行在其中的应用程序。容器的定义和镜像几乎一模一样,也是一堆层的统一视角,唯一区别在于容器的最上面那一层是可读可写的。
  
5.3 仓库(repository)
仓库(Repository)是集中存放镜像文件的场所。
仓库(Repository)和仓库注册服务器(Registry)是有区别的。仓库注册服务器上往往存放着多个仓
库,每个仓库中又包含了多个镜像,每个镜像有不同的标签(tag)。
仓库分为公开仓库(Public)和私有仓库(Private)两种形式。
最大的公开仓库是 Docker Hub(https://hub.docker.com/),存放了数量庞大的镜像供用户下载。
国内的公开仓库包括阿里云 、网易云 等。
   
5.4 总结
image 文件生成的容器实例,本身也是一个文件,称为镜像文件。
一个容器运行一种服务,当我们需要的时候,就可以通过docker客户端创建一个对应的运行实例,也就是我们的容器。
至于仓储,就是放了一堆镜像的地方,我们可以把镜像发布到仓储中,需要的时候从仓储中拉下来就可以了。
  
6. Docker安装
6.1 确认版本
  1. [root@bobo01 ~]# cat /etc/redhat-release
  2. CentOS Linux release 7.9.2009 (Core)
  
6.2 安装gcc相关
yum -y install gcc gcc-c++
  

  
6.3 卸载旧版本
  1. [root@bobo01 ~]# yum -y remove docker docker-common docker-selinux docker-engine
  2. 已加载插件:fastestmirror
  3. 参数 docker 没有匹配
  4. 参数 docker-common 没有匹配
  5. 参数 docker-selinux 没有匹配
  6. 参数 docker-engine 没有匹配
  7. 不删除任何软件包
  
6.4 安装软件包
yum install -y yum-utils device-mapper-persistent-data lvm2
  

  
6.5 设置镜像仓库
  1. [root@bobo01 ~]# yum-config-manager --add-repo http://mirrors.aliyun.com/dockerce/linux/centos/docker-ce.repo
  2. 已加载插件:fastestmirror
  3. adding repo from: http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
  4. grabbing file http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo to /etc/yum.repos.d/docker-ce.repo
  5. repo saved to /etc/yum.repos.d/docker-ce.repo
  
6.6 yum更新
yum makecache fast
   
6.7 Docker安装
CE 是官方提供的免费版本,学习足够了。
yum -y install docker-ce
  

  
6.8 启动Docker
systemctl start docker
 
查看版本
  1. [root@bobo01 ~]# docker version
  2. Client: Docker Engine - Community
  3. Version: 20.10.5
  4. API version: 1.41
  5. Go version: go1.13.15
  6. Git commit: 55c4c88
  7. Built: Tue Mar 2 20:33:55 2021
  8. OS/Arch: linux/amd64
  9. Context: default
  10. Experimental: true
  11. Server: Docker Engine - Community
  12. Engine:
  13. Version: 20.10.5
  14. API version: 1.41 (minimum version 1.12)
  15. Go version: go1.13.15
  16. Git commit: 363e9a8
  17. Built: Tue Mar 2 20:32:17 2021
  18. OS/Arch: linux/amd64
  19. Experimental: false
  20. containerd:
  21. Version: 1.4.4
  22. GitCommit: 05f951a3781f4f2c1911b05e61c160e9c30eaa8e
  23. runc:
  24. Version: 1.0.0-rc93
  25. GitCommit: 12644e614e25b05da6fd08a38ffa0cfe1903fdec
  26. docker-init:
  27. Version: 0.19.0
  28. GitCommit: de40ad0
  
6.9 HelloWorld案例
  1. [root@bobo01 ~]# docker run hello-world
  2. Unable to find image 'hello-world:latest' locally
  3. latest: Pulling from library/hello-world
  4. b8dfde127a29: Pull complete
  5. Digest: sha256:308866a43596e83578c7dfa15e27a73011bdd402185a84c5cd7f32a88b501a24
  6. Status: Downloaded newer image for hello-world:latest
  7. Hello from Docker!
  8. This message shows that your installation appears to be working correctly.
  9. To generate this message, Docker took the following steps:
  10. 1. The Docker client contacted the Docker daemon.
  11. 2. The Docker daemon pulled the "hello-world" image from the Docker Hub. (amd64)
  12. 3. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading.
  13. 4. The Docker daemon streamed that output to the Docker client, which sent it to your terminal.
  14. To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash
  15. Share images, automate workflows, and more with a free Docker ID: https://hub.docker.com/
  16. For more examples and ideas, visit: https://docs.docker.com/get-started/
  
7. 阿里云镜像加速
默认访问的仓库是在国外所以访问速度是没法保证的。为了更好的体验,我们可以配置阿里云的镜像加速。

  

   

  
按照官网提示,执行对应的操作即可。
  1. [root@bobo01 ~]# sudo mkdir -p /etc/docker
  2. [root@bobo01 ~]# cd /etc/docker/
  3. [root@bobo01 docker]# ll
  4. 总用量 4
  5. -rw-------. 1 root root 244 3月 22 11:39 key.json
  6. [root@bobo01 docker]# vim daemon.json
  7. [root@bobo01 docker]# sudo systemctl daemon-reload
  8. [root@bobo01 docker]# sudo systemctl restart docker
  9. [root@bobo01 docker]# ll
  10. 总用量 8
  11. -rw-r--r--. 1 root root 67 3月 22 11:48 daemon.json
  12. -rw-------. 1 root root 244 3月 22 11:39 key.json
  13. [root@bobo01 docker]# cat daemon.json
  14. {
  15. "registry-mirrors": ["https://v9j5rufo.mirror.aliyuncs.com"]
  16. }
  17. [root@bobo01 docker]#
  
8.Docker卸载
  1. systemctl stop docker
  2. yum -y remov docker-ce
  3. rm -rf /var/lib/docker
  

二、Docker常用命令介绍

1. 帮助命令

  
docker version

  
docker info

  
docker --help

  
2. 镜像命令

  
2.1 docker images

  
镜像表格信息说明

  

  
  1. [root@bobo01 ~]# docker images
  2. REPOSITORY TAG IMAGE ID CREATED SIZE
  3. hello-world latest d1165f221234 2 weeks ago 13.3kB
  4. [root@bobo01 ~]#
  5. [root@bobo01 ~]# docker images -a
  6. REPOSITORY TAG IMAGE ID CREATED SIZE
  7. hello-world latest d1165f221234 2 weeks ago 13.3kB
  8. [root@bobo01 ~]# docker images -q
  9. d1165f221234
  10. [root@bobo01 ~]# docker images -qa
  11. d1165f221234
  12. [root@bobo01 ~]# docker images --digests
  13. REPOSITORY TAG DIGEST
  14. IMAGE ID CREATED SIZE
  15. hello-world latest
  16. sha256:308866a43596e83578c7dfa15e27a73011bdd402185a84c5cd7f32a88b501a24
  17. d1165f221234 2 weeks ago 13.3kB
  18. [root@bobo01 ~]# docker images --no-trunc
  19. REPOSITORY TAG IMAGE ID
  20. CREATED SIZE
  21. hello-world latest
  22. sha256:d1165f2212346b2bab48cb01c1e39ee8ad1be46b87873d9ca7a4e434980a7726 2
  23. weeks ago 13.3kB
   
2.2 docker search
docker hub是Docker的在线仓库,我们可以通过docker search 在上面搜索我们需要的镜像。

  

  
2.3 Docker pull
从Docker hub 上下载镜像文件。

  
等待下载完成即可。

   
2.4 Docker rmi

  
-f 表示强制删除。
  
3.容器命令
有镜像才能创建容器。

  
3.1 创建并启动容器
创建并启动一个容器的命令。
docker run [OPTIONS] IMAGE [COMMAND]
  
OPTIONS中的一些参数。

  
交互式的容器。
docker run -it centos /bin/bash
  

  
3.2 列举运行的容器
我们要查看当前正在运行的容器有哪些,可以通过ps 命令来查看。
docker ps [OPTIONS]
   
OPTONS可用的参数。

  

  
3.3 退出容器命令
我们启动了一个容器后,如何退出容器。

  
3.4 启动容器
docker start 容器ID或者容器名称
  
3.5 重启容器
docker restart 容器id或者名称
  
3.6 停止容器
docker stop 容器ID或者名称
   
还可以通过强制停止方式处理。
docker kill 容器ID或者名称
   
3.7 删除容器
有时候容器使用完成就没有作用了,我们想要删除掉容器,这时可以通过rm命令。
  1. docker rm 容器ID
  2. docker rm -f $(docker ps -qa)
  3. docker ps -a -q | xargs docker rm
  
4. 其他命令
4.1 守护式容器
docker run -d 容器名称
  

  
我们通过 docker ps -a 可以看到刚刚启动的容器已经退出了。

  
为了让守护式容器能够一直执行,我们可以在启动容器后在后台运行一个循环的脚本。
docker run -d centos /bin/bash -c 'while true;do echo hello bobo;sleep 2;done'
  

  
查看我们运行的日志。
docker logs -t -f --tail 3 容器ID
  

  
查看容器中运行的进程。
docker top 容器ID
  
4.2 查看容器细节
我们想要查看容器的细节可以通过inspect命令。
docker inspect 容器ID
  

  
4.3 进入运行的容器

  

  

  
4.4 文件复制
我们有时需要从容器中拷贝内容到宿主机中。
docker cp 容器ID:容器内路径 目的地路径
  

  

三、Docker镜像介绍

1. 镜像是什么?
首先我们来看看镜像到底是什么?虽然前面有介绍过 镜像 和 容器 ,但也不是特别的深入。
镜像是一种轻量级、可执行的独立软件包,用来打包软件运行环境和基于运行环境开发的软件,它包含运行某个软件所需的所有内容,包括代码、运行时、库、环境变量和配置文件。
  
1.1 UnionFS
UnionFS(联合文件系统): Union文件系统(UnionFS)是一种分层、轻量级并且高性能的文件系统,它支持对文件系统的修改作为一次提交来一层层的叠加,同时可以将不同目录挂载到同一个虚拟文件系统下(unite several directories into a single virtual filesystem)。Union 文件系统是 Docker 镜像的基础。镜像可以通过分层来进行继承,基于基础镜像(没有父镜像),可以制作各种具体的应用镜像。

  
特性 :一次同时加载多个文件系统,但从外面看起来,只能看到一个文件系统,联合加载会把各层文件系统叠加起来,这样最终的文件系统会包含所有底层的文件和目录。
   
1.2 镜像加载原理
Docker镜像加载原理:
Docker的镜像实际上由一层一层的文件系统组成,这种层级的文件系统UnionFS。
Bootfs(boot file system)主要包含Bootloader和Kernel, Bootloader主要是引导加载Kernel, Linux 刚启动时会加载Bootfs文件系统,在Docker镜像的最底层是bootfs。这一层与我们典型的Linux/Unix系统是一样的,包含Boot加载器和内核。当boot加载完成之后整个内核就都在内存中了,此时内存的使用权已由bootfs转交给内核,此时系统也会卸载bootfs。
Rootfs (root file system) ,在Bootfs之上。包含的就是典型 Linux 系统中的 /dev, /proc, /bin, /etc 等标准目录和文件。Rootfs就是各种不同的操作系统发行版,比如Ubuntu,Centos等等。
  
1.3 分层的镜像
其实我们前面在 pull 文件的时候比如 Tomcat,在pull界面我们就可以看到下载的文件是一层层的。

  
1.4 分层结构的特点
其实我们也会考虑docker为什么会才用这种分层的结果,它有什么好处呢?最大的一个好处就是共享资源。
比如:有多个镜像都从相同的 base 镜像构建而来,那么宿主机只需在磁盘上保存一份base镜像,同时内存中也只需加载一份 base 镜像,就可以为所有容器服务了。而且镜像的每一层都可以被共享。
  
2.镜像的特点
大家需要注意,Docker镜像都是只读的,当容器启动时,一个新的可写层被加载到镜像的顶部,这一层通常被称为容器层,容器层之下的都叫镜像层。
  
3.镜像的操作
我们现在已经掌握了从docker hub上获取相关镜像,然后运行容器,并作出我们自己的处理,但有时候我们需要将我们自己的容器制作为对应的镜像,以便后面继续使用,这时我们就需要用到docker commit ...命令了,这节我们就通过案例来介绍下 docker commit ...命令的使用。
docker commit -m="要提交的描述信息" -a="作者" 容器ID 要创建的目标镜像名:[标签名]
  
操作案例
我们通过tomcat镜像来创建容器后操作处理,然后将容器制作为新的镜像然后我们通过新的镜像来制作容器来演示这个效果,有点绕,我们直接通过案例来说。
  
3.1 下载tomcat镜像

  
3.2 创建容器并启动
docker run -it -p
  
参数

  

  
404

  
3.3 修改容器
我们发现启动的容器中没有要访问的资源,那么我们自己创建对应的资源即可。
docker exec -it 容器ID /bin/bash
  

  

  
3.4 创建镜像
我们现在的容器和下载的有区别了,我们可以在这个基础上来创建新的镜像。
docker commit -a='bobo' -m='add index.html' 容器ID bobo/tomcat:1.666
  

  
3.5 启动新的镜像
现在我们可以通过我们自己新创建的镜像文件来创建并启动容器了。
docker run -it -p 8888:8080 bobo/tomcat:1.6666
  

  

  

四、Docker数据卷

1. 数据卷
前面我们介绍了镜像和容器,通过镜像我们可以启动多个容器,但是我们发现当我们的容器停止获取删除后,我们在容器中的应用的一些数据也丢失了,这时为了解决容器的数据持久化,我们需要通过容器数据卷来解决这个问题。
  
1.1 数据卷是什么
Docker容器产生的数据,如果不通过docker commit生成新的镜像,使得数据做为镜像的一部分保存下来,那么当容器删除后,数据自然也就没有了。为了能保存数据在docker中我们使用卷。简单来说,容器卷就相当于Redis中持久化方式的RDB和AOF。
  
1.2 解决了什么问题
卷就是目录或文件,存在于一个或多个容器中,由docker挂载到容器,但不属于联合文件系统,因此能够绕过Union File System提供一些用于持续存储或共享数据的特性:
卷的设计目的就是数据的持久化,完全独立于容器的生存周期,因此Docker不会在容器删除时删除其挂载的数据卷。
  
特点:
1. 数据卷可在容器之间共享或重用数据。
2. 卷中的更改可以直接生效。
3. 数据卷中的更改不会包含在镜像的更新中。
4. 数据卷的生命周期一直持续到没有容器使用它为止。
  
持久化,容器间继承和共享数据。
  
1.3 数据卷使用
1.3.1 直接添加
运行一个centos容器。
docker run -it -v /宿主机绝对路径:/容器内目录 镜像名
  

  
在宿主机的根目录下会多出对应的文件夹。

  
然后在容器的根目录下也会出现对应的文件夹。

  
通过inspect命令可以查询容器的详情。

  
数据共享的操作。
宿主机添加对应的文件。

  
容器中查看。

  
容器中可以同步看到,然后在容器中修改数据。

  
停止掉容器后,数据依然存在。

  

  
权限控制:不允许在容器中修改。

  
修改权限
docker run -it -v /宿主机绝对路径:/容器目录:ro 镜像名
  

  

  
1.3.2 DockerFiler添加
宿主机跟目录下创建一个mydocker,并在该目录下创建一个文件,内容如下。
  1. # volume test
  2. FROM centos
  3. VOLUME ["/dataVolumeContainer1","/dataVolumeContainer2"]
  4. CMD echo "finished,--------success1"
  5. CMD /bin/bash
 
根据这个DockerFile构建我们的镜像文件。
docker build -f dockerFile1 -t bobo/centos .
  
-f DockerFile文件的路径
-t 标签
. 当前路径

  
根据新创建的镜像文件创建一个容器,启动后我们可以看到在容器中创建的有对应的目录。

  
这两个目录和宿主机的映射目录在哪呢?这时我们可以通过 inspect命令查看。

  
验证就只需要在宿主机中创建文件,然后再到容器对应的文件夹中查看即可。

  

  
2. 数据卷容器
命名的容器挂载数据卷,其他容器通过挂载这个容器实现数据共享,挂载数据的容器,称之为数据卷容器。
  
2.1 启动一个父容器
docker run -it --name dc01 bobo/centos
  

  
2.2 创建两个子容器
  1. docker run -it --name dc02 --volumes-from dc01 bobo/centos
  2. docker run -it --name dc03 --volumes-from dc01 bobo/centos
  
创建了两个子容器后,首先都可以看到dc01中的共享资源。第二个在dc01中修改了共享资源文件后,在两个容器中也是可见的。

  

  
注意,删除dc01后,dc02和dc03之间数据还是共享的。

  

   

  
注意:容器之间配置信息的传递,数据卷的生命周期一直持续到没有容器使用它为止。
  
3. DockerFile
DockerFile是用来构建Docker镜像的 构建文件 ,是由一系列 命令 和 参数 构成的 脚本 。

  
  1. FROM scratch
  2. ADD centos-7-x86_64-docker.tar.xz /
  3. LABEL \
  4. org.label-schema.schema-version="1.0" \
  5. org.label-schema.name="CentOS Base Image" \
  6. org.label-schema.vendor="CentOS" \
  7. org.label-schema.license="GPLv2" \
  8. org.label-schema.build-date="20201113" \
  9. org.opencontainers.image.title="CentOS Base Image" \
  10. org.opencontainers.image.vendor="CentOS" \
  11. org.opencontainers.image.licenses="GPL-2.0-only" \
  12. org.opencontainers.image.created="2020-11-13 00:00:00+00:00"
  13. CMD ["/bin/bash"]
  
3.1 构建过程
Dockerfile中的指令需要满足如下的规则。

  
3.2 执行流程
docker执行一个Dockerfile脚本的流程大致如下:
1. docker从基础镜像运行一个容器。
2. 执行一条指令并对容器作出修改。
3. 执行类似docker commit的操作提交一个新的镜像层。
4. docker再基于刚提交的镜像运行一个新的容器。
5. 执行dockerfile中的下一条指令直到所有指令都执行完成。
  
从应用软件的角度来看,Dockerfile、Docker镜像与Docker容器分别代表软件的三个不同阶段,
Dockerfile是软件的原材料。
Docker镜像是软件的交付品。
Docker容器则可以认为是软件的运行态。
  
Dockerfile面向开发,Docker镜像成为交付标准,Docker容器则涉及部署与运维,三者缺一不可,合力充当Docker体系的基石。

  
1. Dockerfile,需要定义一个Dockerfile,Dockerfile定义了进程需要的一切东西。Dockerfile涉及的内容包括执行代码或者是文件、环境变量、依赖包、运行时环境、动态链接库、操作系统的发行版、服务进程和内核进程(当应用进程需要和系统服务和内核进程打交道,这时需要考虑如何设计namespace的权限控制)等等;
2. Docker镜像,在用Dockerfile定义一个文件之后,docker build时会产生一个Docker镜像,当运行Docker镜像时,会真正开始提供服务;
3. Docker容器,容器是直接提供服务的。

  

  
3.3 DockerFile案例
我们从官方pull下来的centos是没有vim命令的,我们可以自定义一个镜像,功能比官方提供的强大一点即可。
  
创建DockerFile文件
  1. FROM centos
  2. MAINTAINER bobo<dengpbs163.com>
  3. ENV MYPATH /usr/local
  4. WORKDIR $MYPATH
  5. RUN yum -y install vim
  6. EXPOSE 80
  7. CMD echo $MYPATH
  8. CMD echo "success ------- 66666"
  9. CMD /bin/bash
  
构建镜像文件
docker build -f DockerFile文件路径 -t 镜像名称:tag .
  

  

  
运行容器
docker run -it bobo/centos7:1.7
  

  

五、Docker常用软件安装

1. MySQL的安装
search命令查询。
docker search mysql
  

  
然后下载对应的mysql镜像。

  
构建容器。
  1. docker run -p 12345:3306 --name mysql -v /root/mysql/conf:/etc/mysql/conf.d -v
  2. /root/mysql/logs:/logs -v /root/mysql/data:/var/lib/mysql -e
  3. MYSQL_ROOT_PASSWORD=123456 -d mysql:5.6
  
进入容器中查看。

  
我们也可以在Windows平台中通过MySQL数据库客户端来连接容器中的数据库。

  
2. Redis的安装
搜索Redis。

  
下载对应镜像文件。

  
创建并启动容器。
  1. docker run -p 6379:6379 -v /root/myredis/data:/data -v
  2. /root/myredis/conf/redis.conf:/usr/local/etc/redis/redis.conf -d redis:4.0
  3. redis-server /usr/local/etc/redis/redis.conf --appendonly yes
  

  
redis的配置文件。
  1. # Redis configuration file example.
  2. #
  3. # Note that in order to read the configuration file, Redis must be
  4. # started with the file path as first argument:
  5. #
  6. # ./redis-server /path/to/redis.conf
  7. # Note on units: when memory size is needed, it is possible to specify
  8. # it in the usual form of 1k 5GB 4M and so forth:
  9. #
  10. # 1k => 1000 bytes
  11. # 1kb => 1024 bytes
  12. # 1m => 1000000 bytes
  13. # 1mb => 1024*1024 bytes
  14. # 1g => 1000000000 bytes
  15. # 1gb => 1024*1024*1024 bytes
  16. #
  17. # units are case insensitive so 1GB 1Gb 1gB are all the same.
  18. ################################## INCLUDES ###################################
  19. # Include one or more other config files here. This is useful if you
  20. # have a standard template that goes to all Redis servers but also need
  21. # to customize a few per-server settings. Include files can include
  22. # other files, so use this wisely.
  23. #
  24. # Notice option "include" won't be rewritten by command "CONFIG REWRITE"
  25. # from admin or Redis Sentinel. Since Redis always uses the last processed
  26. # line as value of a configuration directive, you'd better put includes
  27. # at the beginning of this file to avoid overwriting config change at runtime.
  28. #
  29. # If instead you are interested in using includes to override configuration
  30. # options, it is better to use include as the last line.
  31. #
  32. # include /path/to/local.conf
  33. # include /path/to/other.conf
  34. ################################## NETWORK #####################################
  35. # By default, if no "bind" configuration directive is specified, Redis listens
  36. # for connections from all the network interfaces available on the server.
  37. # It is possible to listen to just one or multiple selected interfaces using
  38. # the "bind" configuration directive, followed by one or more IP addresses.
  39. #
  40. # Examples:
  41. #
  42. # bind 192.168.1.100 10.0.0.1
  43. # bind 127.0.0.1 ::1
  44. #
  45. # ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
  46. # internet, binding to all the interfaces is dangerous and will expose the
  47. # instance to everybody on the internet. So by default we uncomment the
  48. # following bind directive, that will force Redis to listen only into
  49. # the IPv4 lookback interface address (this means Redis will be able to
  50. # accept connections only from clients running into the same computer it
  51. # is running).
  52. #
  53. # IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
  54. # JUST COMMENT THE FOLLOWING LINE.
  55. # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  56. #bind 127.0.0.1
  57. # Protected mode is a layer of security protection, in order to avoid that
  58. # Redis instances left open on the internet are accessed and exploited.
  59. #
  60. # When protected mode is on and if:
  61. #
  62. # 1) The server is not binding explicitly to a set of addresses using the
  63. # "bind" directive.
  64. # 2) No password is configured.
  65. #
  66. # The server only accepts connections from clients connecting from the
  67. # IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
  68. # sockets.
  69. #
  70. # By default protected mode is enabled. You should disable it only if
  71. # you are sure you want clients from other hosts to connect to Redis
  72. # even if no authentication is configured, nor a specific set of interfaces
  73. # are explicitly listed using the "bind" directive.
  74. protected-mode yes
  75. # Accept connections on the specified port, default is 6379 (IANA #815344).
  76. # If port 0 is specified Redis will not listen on a TCP socket.
  77. port 6379
  78. # TCP listen() backlog.
  79. #
  80. # In high requests-per-second environments you need an high backlog in order
  81. # to avoid slow clients connections issues. Note that the Linux kernel
  82. # will silently truncate it to the value of /proc/sys/net/core/somaxconn so
  83. # make sure to raise both the value of somaxconn and tcp_max_syn_backlog
  84. # in order to get the desired effect.
  85. tcp-backlog 511
  86. # Unix socket.
  87. #
  88. # Specify the path for the Unix socket that will be used to listen for
  89. # incoming connections. There is no default, so Redis will not listen
  90. # on a unix socket when not specified.
  91. #
  92. # unixsocket /tmp/redis.sock
  93. # unixsocketperm 700
  94. # Close the connection after a client is idle for N seconds (0 to disable)
  95. timeout 0
  96. # TCP keepalive.
  97. #
  98. # If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
  99. # of communication. This is useful for two reasons:
  100. #
  101. # 1) Detect dead peers.
  102. # 2) Take the connection alive from the point of view of network
  103. # equipment in the middle.
  104. #
  105. # On Linux, the specified value (in seconds) is the period used to send ACKs.
  106. # Note that to close the connection the double of the time is needed.
  107. # On other kernels the period depends on the kernel configuration.
  108. #
  109. # A reasonable value for this option is 300 seconds, which is the new
  110. # Redis default starting with Redis 3.2.1.
  111. tcp-keepalive 300
  112. ################################# GENERAL #####################################
  113. # By default Redis does not run as a daemon. Use 'yes' if you need it.
  114. # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
  115. #daemonize no
  116. # If you run Redis from upstart or systemd, Redis can interact with your
  117. # supervision tree. Options:
  118. # supervised no - no supervision interaction
  119. # supervised upstart - signal upstart by putting Redis into SIGSTOP mode
  120. # supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
  121. # supervised auto - detect upstart or systemd method based on
  122. # UPSTART_JOB or NOTIFY_SOCKET environment variables
  123. # Note: these supervision methods only signal "process is ready."
  124. # They do not enable continuous liveness pings back to your supervisor.
  125. supervised no
  126. # If a pid file is specified, Redis writes it where specified at startup
  127. # and removes it at exit.
  128. #
  129. # When the server runs non daemonized, no pid file is created if none is
  130. # specified in the configuration. When the server is daemonized, the pid file
  131. # is used even if not specified, defaulting to "/var/run/redis.pid".
  132. #
  133. # Creating a pid file is best effort: if Redis is not able to create it
  134. # nothing bad happens, the server will start and run normally.
  135. pidfile /var/run/redis_6379.pid
  136. # Specify the server verbosity level.
  137. # This can be one of:
  138. # debug (a lot of information, useful for development/testing)
  139. # verbose (many rarely useful info, but not a mess like the debug level)
  140. # notice (moderately verbose, what you want in production probably)
  141. # warning (only very important / critical messages are logged)
  142. loglevel notice
  143. # Specify the log file name. Also the empty string can be used to force
  144. # Redis to log on the standard output. Note that if you use standard
  145. # output for logging but daemonize, logs will be sent to /dev/null
  146. logfile ""
  147. # To enable logging to the system logger, just set 'syslog-enabled' to yes,
  148. # and optionally update the other syslog parameters to suit your needs.
  149. # syslog-enabled no
  150. # Specify the syslog identity.
  151. # syslog-ident redis
  152. # Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
  153. # syslog-facility local0
  154. # Set the number of databases. The default database is DB 0, you can select
  155. # a different one on a per-connection basis using SELECT <dbid> where
  156. # dbid is a number between 0 and 'databases'-1
  157. databases 16
  158. ################################ SNAPSHOTTING ################################
  159. #
  160. # Save the DB on disk:
  161. #
  162. # save <seconds> <changes>
  163. #
  164. # Will save the DB if both the given number of seconds and the given
  165. # number of write operations against the DB occurred.
  166. #
  167. # In the example below the behaviour will be to save:
  168. # after 900 sec (15 min) if at least 1 key changed
  169. # after 300 sec (5 min) if at least 10 keys changed
  170. # after 60 sec if at least 10000 keys changed
  171. #
  172. # Note: you can disable saving completely by commenting out all "save" lines.
  173. #
  174. # It is also possible to remove all the previously configured save
  175. # points by adding a save directive with a single empty string argument
  176. # like in the following example:
  177. #
  178. # save ""
  179. save 120 1
  180. save 300 10
  181. save 60 10000
  182. # By default Redis will stop accepting writes if RDB snapshots are enabled
  183. # (at least one save point) and the latest background save failed.
  184. # This will make the user aware (in a hard way) that data is not persisting
  185. # on disk properly, otherwise chances are that no one will notice and some
  186. # disaster will happen.
  187. #
  188. # If the background saving process will start working again Redis will
  189. # automatically allow writes again.
  190. #
  191. # However if you have setup your proper monitoring of the Redis server
  192. # and persistence, you may want to disable this feature so that Redis will
  193. # continue to work as usual even if there are problems with disk,
  194. # permissions, and so forth.
  195. stop-writes-on-bgsave-error yes
  196. # Compress string objects using LZF when dump .rdb databases?
  197. # For default that's set to 'yes' as it's almost always a win.
  198. # If you want to save some CPU in the saving child set it to 'no' but
  199. # the dataset will likely be bigger if you have compressible values or keys.
  200. rdbcompression yes
  201. # Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
  202. # This makes the format more resistant to corruption but there is a performance
  203. # hit to pay (around 10%) when saving and loading RDB files, so you can disable
  204. it
  205. # for maximum performances.
  206. #
  207. # RDB files created with checksum disabled have a checksum of zero that will
  208. # tell the loading code to skip the check.
  209. rdbchecksum yes
  210. # The filename where to dump the DB
  211. dbfilename dump.rdb
  212. # The working directory.
  213. #
  214. # The DB will be written inside this directory, with the filename specified
  215. # above using the 'dbfilename' configuration directive.
  216. #
  217. # The Append Only File will also be created inside this directory.
  218. #
  219. # Note that you must specify a directory here, not a file name.
  220. dir ./
  221. ################################# REPLICATION #################################
  222. # Master-Slave replication. Use slaveof to make a Redis instance a copy of
  223. # another Redis server. A few things to understand ASAP about Redis replication.
  224. #
  225. # 1) Redis replication is asynchronous, but you can configure a master to
  226. # stop accepting writes if it appears to be not connected with at least
  227. # a given number of slaves.
  228. # 2) Redis slaves are able to perform a partial resynchronization with the
  229. # master if the replication link is lost for a relatively small amount of
  230. # time. You may want to configure the replication backlog size (see the next
  231. # sections of this file) with a sensible value depending on your needs.
  232. # 3) Replication is automatic and does not need user intervention. After a
  233. # network partition slaves automatically try to reconnect to masters
  234. # and resynchronize with them.
  235. #
  236. # slaveof <masterip> <masterport>
  237. # If the master is password protected (using the "requirepass" configuration
  238. # directive below) it is possible to tell the slave to authenticate before
  239. # starting the replication synchronization process, otherwise the master will
  240. # refuse the slave request.
  241. #
  242. # masterauth <master-password>
  243. # When a slave loses its connection with the master, or when the replication
  244. # is still in progress, the slave can act in two different ways:
  245. #
  246. # 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
  247. # still reply to client requests, possibly with out of date data, or the
  248. # data set may just be empty if this is the first synchronization.
  249. #
  250. # 2) if slave-serve-stale-data is set to 'no' the slave will reply with
  251. # an error "SYNC with master in progress" to all the kind of commands
  252. # but to INFO and SLAVEOF.
  253. #
  254. slave-serve-stale-data yes
  255. # You can configure a slave instance to accept writes or not. Writing against
  256. # a slave instance may be useful to store some ephemeral data (because data
  257. # written on a slave will be easily deleted after resync with the master) but
  258. # may also cause problems if clients are writing to it because of a
  259. # misconfiguration.
  260. #
  261. # Since Redis 2.6 by default slaves are read-only.
  262. #
  263. # Note: read only slaves are not designed to be exposed to untrusted clients
  264. # on the internet. It's just a protection layer against misuse of the instance.
  265. # Still a read only slave exports by default all the administrative commands
  266. # such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
  267. # security of read only slaves using 'rename-command' to shadow all the
  268. # administrative / dangerous commands.
  269. slave-read-only yes
  270. # Replication SYNC strategy: disk or socket.
  271. #
  272. # -------------------------------------------------------
  273. # WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
  274. # -------------------------------------------------------
  275. #
  276. # New slaves and reconnecting slaves that are not able to continue the replication
  277. # process just receiving differences, need to do what is called a "full
  278. # synchronization". An RDB file is transmitted from the master to the slaves.
  279. # The transmission can happen in two different ways:
  280. #
  281. # 1) Disk-backed: The Redis master creates a new process that writes the RDB
  282. # file on disk. Later the file is transferred by the parent
  283. # process to the slaves incrementally.
  284. # 2) Diskless: The Redis master creates a new process that directly writes the
  285. # RDB file to slave sockets, without touching the disk at all.
  286. #
  287. # With disk-backed replication, while the RDB file is generated, more slaves
  288. # can be queued and served with the RDB file as soon as the current child
  289. producing
  290. # the RDB file finishes its work. With diskless replication instead once
  291. # the transfer starts, new slaves arriving will be queued and a new transfer
  292. # will start when the current one terminates.
  293. #
  294. # When diskless replication is used, the master waits a configurable amount of
  295. # time (in seconds) before starting the transfer in the hope that multiple
  296. slaves
  297. # will arrive and the transfer can be parallelized.
  298. #
  299. # With slow disks and fast (large bandwidth) networks, diskless replication
  300. # works better.
  301. repl-diskless-sync no
  302. # When diskless replication is enabled, it is possible to configure the delay
  303. # the server waits in order to spawn the child that transfers the RDB via socket
  304. # to the slaves.
  305. #
  306. # This is important since once the transfer starts, it is not possible to serve
  307. # new slaves arriving, that will be queued for the next RDB transfer, so the
  308. server
  309. # waits a delay in order to let more slaves arrive.
  310. #
  311. # The delay is specified in seconds, and by default is 5 seconds. To disable
  312. # it entirely just set it to 0 seconds and the transfer will start ASAP.
  313. repl-diskless-sync-delay 5
  314. # Slaves send PINGs to server in a predefined interval. It's possible to change
  315. # this interval with the repl_ping_slave_period option. The default value is 10
  316. # seconds.
  317. #
  318. # repl-ping-slave-period 10
  319. # The following option sets the replication timeout for:
  320. #
  321. # 1) Bulk transfer I/O during SYNC, from the point of view of slave.
  322. # 2) Master timeout from the point of view of slaves (data, pings).
  323. # 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
  324. #
  325. # It is important to make sure that this value is greater than the value
  326. # specified for repl-ping-slave-period otherwise a timeout will be detected
  327. # every time there is low traffic between the master and the slave.
  328. #
  329. # repl-timeout 60
  330. # Disable TCP_NODELAY on the slave socket after SYNC?
  331. #
  332. # If you select "yes" Redis will use a smaller number of TCP packets and
  333. # less bandwidth to send data to slaves. But this can add a delay for
  334. # the data to appear on the slave side, up to 40 milliseconds with
  335. # Linux kernels using a default configuration.
  336. #
  337. # If you select "no" the delay for data to appear on the slave side will
  338. # be reduced but more bandwidth will be used for replication.
  339. #
  340. # By default we optimize for low latency, but in very high traffic conditions
  341. # or when the master and slaves are many hops away, turning this to "yes" may
  342. # be a good idea.
  343. repl-disable-tcp-nodelay no
  344. # Set the replication backlog size. The backlog is a buffer that accumulates
  345. # slave data when slaves are disconnected for some time, so that when a slave
  346. # wants to reconnect again, often a full resync is not needed, but a partial
  347. # resync is enough, just passing the portion of data the slave missed while
  348. # disconnected.
  349. #
  350. # The bigger the replication backlog, the longer the time the slave can be
  351. # disconnected and later be able to perform a partial resynchronization.
  352. #
  353. # The backlog is only allocated once there is at least a slave connected.
  354. #
  355. # repl-backlog-size 1mb
  356. # After a master has no longer connected slaves for some time, the backlog
  357. # will be freed. The following option configures the amount of seconds that
  358. # need to elapse, starting from the time the last slave disconnected, for
  359. # the backlog buffer to be freed.
  360. #
  361. # A value of 0 means to never release the backlog.
  362. #
  363. # repl-backlog-ttl 3600
  364. # The slave priority is an integer number published by Redis in the INFO output.
  365. # It is used by Redis Sentinel in order to select a slave to promote into a
  366. # master if the master is no longer working correctly.
  367. #
  368. # A slave with a low priority number is considered better for promotion, so
  369. # for instance if there are three slaves with priority 10, 100, 25 Sentinel will
  370. # pick the one with priority 10, that is the lowest.
  371. #
  372. # However a special priority of 0 marks the slave as not able to perform the
  373. # role of master, so a slave with priority of 0 will never be selected by
  374. # Redis Sentinel for promotion.
  375. #
  376. # By default the priority is 100.
  377. slave-priority 100
  378. # It is possible for a master to stop accepting writes if there are less than
  379. # N slaves connected, having a lag less or equal than M seconds.
  380. #
  381. # The N slaves need to be in "online" state.
  382. #
  383. # The lag in seconds, that must be <= the specified value, is calculated from
  384. # the last ping received from the slave, that is usually sent every second.
  385. #
  386. # This option does not GUARANTEE that N replicas will accept the write, but
  387. # will limit the window of exposure for lost writes in case not enough slaves
  388. # are available, to the specified number of seconds.
  389. #
  390. # For example to require at least 3 slaves with a lag <= 10 seconds use:
  391. #
  392. # min-slaves-to-write 3
  393. # min-slaves-max-lag 10
  394. #
  395. # Setting one or the other to 0 disables the feature.
  396. #
  397. # By default min-slaves-to-write is set to 0 (feature disabled) and
  398. # min-slaves-max-lag is set to 10.
  399. # A Redis master is able to list the address and port of the attached
  400. # slaves in different ways. For example the "INFO replication" section
  401. # offers this information, which is used, among other tools, by
  402. # Redis Sentinel in order to discover slave instances.
  403. # Another place where this info is available is in the output of the
  404. # "ROLE" command of a masteer.
  405. #
  406. # The listed IP and address normally reported by a slave is obtained
  407. # in the following way:
  408. #
  409. # IP: The address is auto detected by checking the peer address
  410. # of the socket used by the slave to connect with the master.
  411. #
  412. # Port: The port is communicated by the slave during the replication
  413. # handshake, and is normally the port that the slave is using to
  414. # list for connections.
  415. #
  416. # However when port forwarding or Network Address Translation (NAT) is
  417. # used, the slave may be actually reachable via different IP and port
  418. # pairs. The following two options can be used by a slave in order to
  419. # report to its master a specific set of IP and port, so that both INFO
  420. # and ROLE will report those values.
  421. #
  422. # There is no need to use both the options if you need to override just
  423. # the port or the IP address.
  424. #
  425. # slave-announce-ip 5.5.5.5
  426. # slave-announce-port 1234
  427. ################################## SECURITY ###################################
  428. # Require clients to issue AUTH <PASSWORD> before processing any other
  429. # commands. This might be useful in environments in which you do not trust
  430. # others with access to the host running redis-server.
  431. #
  432. # This should stay commented out for backward compatibility and because most
  433. # people do not need auth (e.g. they run their own servers).
  434. #
  435. # Warning: since Redis is pretty fast an outside user can try up to
  436. # 150k passwords per second against a good box. This means that you should
  437. # use a very strong password otherwise it will be very easy to break.
  438. #
  439. # requirepass foobared
  440. # Command renaming.
  441. #
  442. # It is possible to change the name of dangerous commands in a shared
  443. # environment. For instance the CONFIG command may be renamed into something
  444. # hard to guess so that it will still be available for internal-use tools
  445. # but not available for general clients.
  446. #
  447. # Example:
  448. #
  449. # rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
  450. #
  451. # It is also possible to completely kill a command by renaming it into
  452. # an empty string:
  453. #
  454. # rename-command CONFIG ""
  455. #
  456. # Please note that changing the name of commands that are logged into the
  457. # AOF file or transmitted to slaves may cause problems.
  458. ################################### LIMITS ####################################
  459. # Set the max number of connected clients at the same time. By default
  460. # this limit is set to 10000 clients, however if the Redis server is not
  461. # able to configure the process file limit to allow for the specified limit
  462. # the max number of allowed clients is set to the current file limit
  463. # minus 32 (as Redis reserves a few file descriptors for internal uses).
  464. #
  465. # Once the limit is reached Redis will close all the new connections sending
  466. # an error 'max number of clients reached'.
  467. #
  468. # maxclients 10000
  469. # Don't use more memory than the specified amount of bytes.
  470. # When the memory limit is reached Redis will try to remove keys
  471. # according to the eviction policy selected (see maxmemory-policy).
  472. #
  473. # If Redis can't remove keys according to the policy, or if the policy is
  474. # set to 'noeviction', Redis will start to reply with errors to commands
  475. # that would use more memory, like SET, LPUSH, and so on, and will continue
  476. # to reply to read-only commands like GET.
  477. #
  478. # This option is usually useful when using Redis as an LRU cache, or to set
  479. # a hard memory limit for an instance (using the 'noeviction' policy).
  480. #
  481. # WARNING: If you have slaves attached to an instance with maxmemory on,
  482. # the size of the output buffers needed to feed the slaves are subtracted
  483. # from the used memory count, so that network problems / resyncs will
  484. # not trigger a loop where keys are evicted, and in turn the output
  485. # buffer of slaves is full with DELs of keys evicted triggering the deletion
  486. # of more keys, and so forth until the database is completely emptied.
  487. #
  488. # In short... if you have slaves attached it is suggested that you set a lower
  489. # limit for maxmemory so that there is some free RAM on the system for slave
  490. # output buffers (but this is not needed if the policy is 'noeviction').
  491. #
  492. # maxmemory <bytes>
  493. # MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
  494. # is reached. You can select among five behaviors:
  495. #
  496. # volatile-lru -> remove the key with an expire set using an LRU algorithm
  497. # allkeys-lru -> remove any key according to the LRU algorithm
  498. # volatile-random -> remove a random key with an expire set
  499. # allkeys-random -> remove a random key, any key
  500. # volatile-ttl -> remove the key with the nearest expire time (minor TTL)
  501. # noeviction -> don't expire at all, just return an error on write operations
  502. #
  503. # Note: with any of the above policies, Redis will return an error on write
  504. # operations, when there are no suitable keys for eviction.
  505. #
  506. # At the date of writing these commands are: set setnx setex append
  507. # incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
  508. # sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
  509. # zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
  510. # getset mset msetnx exec sort
  511. #
  512. # The default is:
  513. #
  514. # maxmemory-policy noeviction
  515. # LRU and minimal TTL algorithms are not precise algorithms but approximated
  516. # algorithms (in order to save memory), so you can tune it for speed or
  517. # accuracy. For default Redis will check five keys and pick the one that was
  518. # used less recently, you can change the sample size using the following
  519. # configuration directive.
  520. #
  521. # The default of 5 produces good enough results. 10 Approximates very closely
  522. # true LRU but costs a bit more CPU. 3 is very fast but not very accurate.
  523. #
  524. # maxmemory-samples 5
  525. ############################## APPEND ONLY MODE ###############################
  526. # By default Redis asynchronously dumps the dataset on disk. This mode is
  527. # good enough in many applications, but an issue with the Redis process or
  528. # a power outage may result into a few minutes of writes lost (depending on
  529. # the configured save points).
  530. #
  531. # The Append Only File is an alternative persistence mode that provides
  532. # much better durability. For instance using the default data fsync policy
  533. # (see later in the config file) Redis can lose just one second of writes in a
  534. # dramatic event like a server power outage, or a single write if something
  535. # wrong with the Redis process itself happens, but the operating system is
  536. # still running correctly.
  537. #
  538. # AOF and RDB persistence can be enabled at the same time without problems.
  539. # If the AOF is enabled on startup Redis will load the AOF, that is the file
  540. # with the better durability guarantees.
  541. #
  542. # Please check http://redis.io/topics/persistence for more information.
  543. appendonly no
  544. # The name of the append only file (default: "appendonly.aof")
  545. appendfilename "appendonly.aof"
  546. # The fsync() call tells the Operating System to actually write data on disk
  547. # instead of waiting for more data in the output buffer. Some OS will really
  548. flush
  549. # data on disk, some other OS will just try to do it ASAP.
  550. #
  551. # Redis supports three different modes:
  552. #
  553. # no: don't fsync, just let the OS flush the data when it wants. Faster.
  554. # always: fsync after every write to the append only log. Slow, Safest.
  555. # everysec: fsync only one time every second. Compromise.
  556. #
  557. # The default is "everysec", as that's usually the right compromise between
  558. # speed and data safety. It's up to you to understand if you can relax this to
  559. # "no" that will let the operating system flush the output buffer when
  560. # it wants, for better performances (but if you can live with the idea of
  561. # some data loss consider the default persistence mode that's snapshotting),
  562. # or on the contrary, use "always" that's very slow but a bit safer than
  563. # everysec.
  564. #
  565. # More details please check the following article:
  566. # http://antirez.com/post/redis-persistence-demystified.html
  567. #
  568. # If unsure, use "everysec".
  569. # appendfsync always
  570. appendfsync everysec
  571. # appendfsync no
  572. # When the AOF fsync policy is set to always or everysec, and a background
  573. # saving process (a background save or AOF log background rewriting) is
  574. # performing a lot of I/O against the disk, in some Linux configurations
  575. # Redis may block too long on the fsync() call. Note that there is no fix for
  576. # this currently, as even performing fsync in a different thread will block
  577. # our synchronous write(2) call.
  578. #
  579. # In order to mitigate this problem it's possible to use the following option
  580. # that will prevent fsync() from being called in the main process while a
  581. # BGSAVE or BGREWRITEAOF is in progress.
  582. #
  583. # This means that while another child is saving, the durability of Redis is
  584. # the same as "appendfsync none". In practical terms, this means that it is
  585. # possible to lose up to 30 seconds of log in the worst scenario (with the
  586. # default Linux settings).
  587. #
  588. # If you have latency problems turn this to "yes". Otherwise leave it as
  589. # "no" that is the safest pick from the point of view of durability.
  590. no-appendfsync-on-rewrite no
  591. # Automatic rewrite of the append only file.
  592. # Redis is able to automatically rewrite the log file implicitly calling
  593. # BGREWRITEAOF when the AOF log size grows by the specified percentage.
  594. #
  595. # This is how it works: Redis remembers the size of the AOF file after the
  596. # latest rewrite (if no rewrite has happened since the restart, the size of
  597. # the AOF at startup is used).
  598. #
  599. # This base size is compared to the current size. If the current size is
  600. # bigger than the specified percentage, the rewrite is triggered. Also
  601. # you need to specify a minimal size for the AOF file to be rewritten, this
  602. # is useful to avoid rewriting the AOF file even if the percentage increase
  603. # is reached but it is still pretty small.
  604. #
  605. # Specify a percentage of zero in order to disable the automatic AOF
  606. # rewrite feature.
  607. auto-aof-rewrite-percentage 100
  608. auto-aof-rewrite-min-size 64mb
  609. # An AOF file may be found to be truncated at the end during the Redis
  610. # startup process, when the AOF data gets loaded back into memory.
  611. # This may happen when the system where Redis is running
  612. # crashes, especially when an ext4 filesystem is mounted without the
  613. # data=ordered option (however this can't happen when Redis itself
  614. # crashes or aborts but the operating system still works correctly).
  615. #
  616. # Redis can either exit with an error when this happens, or load as much
  617. # data as possible (the default now) and start if the AOF file is found
  618. # to be truncated at the end. The following option controls this behavior.
  619. #
  620. # If aof-load-truncated is set to yes, a truncated AOF file is loaded and
  621. # the Redis server starts emitting a log to inform the user of the event.
  622. # Otherwise if the option is set to no, the server aborts with an error
  623. # and refuses to start. When the option is set to no, the user requires
  624. # to fix the AOF file using the "redis-check-aof" utility before to restart
  625. # the server.
  626. #
  627. # Note that if the AOF file will be found to be corrupted in the middle
  628. # the server will still exit with an error. This option only applies when
  629. # Redis will try to read more data from the AOF file but not enough bytes
  630. # will be found.
  631. aof-load-truncated yes
  632. ################################ LUA SCRIPTING ###############################
  633. # Max execution time of a Lua script in milliseconds.
  634. #
  635. # If the maximum execution time is reached Redis will log that a script is
  636. # still in execution after the maximum allowed time and will start to
  637. # reply to queries with an error.
  638. #
  639. # When a long running script exceeds the maximum execution time only the
  640. # SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
  641. # used to stop a script that did not yet called write commands. The second
  642. # is the only way to shut down the server in the case a write command was
  643. # already issued by the script but the user doesn't want to wait for the natural
  644. # termination of the script.
  645. #
  646. # Set it to 0 or a negative value for unlimited execution without warnings.
  647. lua-time-limit 5000
  648. ################################ REDIS CLUSTER ###############################
  649. #
  650. # ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
  651. # WARNING EXPERIMENTAL: Redis Cluster is considered to be stable code, however
  652. # in order to mark it as "mature" we need to wait for a non trivial percentage
  653. # of users to deploy it in production.
  654. # ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
  655. #
  656. # Normal Redis instances can't be part of a Redis Cluster; only nodes that are
  657. # started as cluster nodes can. In order to start a Redis instance as a
  658. # cluster node enable the cluster support uncommenting the following:
  659. #
  660. # cluster-enabled yes
  661. # Every cluster node has a cluster configuration file. This file is not
  662. # intended to be edited by hand. It is created and updated by Redis nodes.
  663. # Every Redis Cluster node requires a different cluster configuration file.
  664. # Make sure that instances running in the same system do not have
  665. # overlapping cluster configuration file names.
  666. #
  667. # cluster-config-file nodes-6379.conf
  668. # Cluster node timeout is the amount of milliseconds a node must be unreachable
  669. # for it to be considered in failure state.
  670. # Most other internal time limits are multiple of the node timeout.
  671. #
  672. # cluster-node-timeout 15000
  673. # A slave of a failing master will avoid to start a failover if its data
  674. # looks too old.
  675. #
  676. # There is no simple way for a slave to actually have a exact measure of
  677. # its "data age", so the following two checks are performed:
  678. #
  679. # 1) If there are multiple slaves able to failover, they exchange messages
  680. # in order to try to give an advantage to the slave with the best
  681. # replication offset (more data from the master processed).
  682. # Slaves will try to get their rank by offset, and apply to the start
  683. # of the failover a delay proportional to their rank.
  684. #
  685. # 2) Every single slave computes the time of the last interaction with
  686. # its master. This can be the last ping or command received (if the master
  687. # is still in the "connected" state), or the time that elapsed since the
  688. # disconnection with the master (if the replication link is currently down).
  689. # If the last interaction is too old, the slave will not try to failover
  690. # at all.
  691. #
  692. # The point "2" can be tuned by user. Specifically a slave will not perform
  693. # the failover if, since the last interaction with the master, the time
  694. # elapsed is greater than:
  695. #
  696. # (node-timeout * slave-validity-factor) + repl-ping-slave-period
  697. #
  698. # So for example if node-timeout is 30 seconds, and the slave-validity-factor
  699. # is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
  700. # slave will not try to failover if it was not able to talk with the master
  701. # for longer than 310 seconds.
  702. #
  703. # A large slave-validity-factor may allow slaves with too old data to failover
  704. # a master, while a too small value may prevent the cluster from being able to
  705. # elect a slave at all.
  706. #
  707. # For maximum availability, it is possible to set the slave-validity-factor
  708. # to a value of 0, which means, that slaves will always try to failover the
  709. # master regardless of the last time they interacted with the master.
  710. # (However they'll always try to apply a delay proportional to their
  711. # offset rank).
  712. #
  713. # Zero is the only value able to guarantee that when all the partitions heal
  714. # the cluster will always be able to continue.
  715. #
  716. # cluster-slave-validity-factor 10
  717. # Cluster slaves are able to migrate to orphaned masters, that are masters
  718. # that are left without working slaves. This improves the cluster ability
  719. # to resist to failures as otherwise an orphaned master can't be failed over
  720. # in case of failure if it has no working slaves.
  721. #
  722. # Slaves migrate to orphaned masters only if there are still at least a
  723. # given number of other working slaves for their old master. This number
  724. # is the "migration barrier". A migration barrier of 1 means that a slave
  725. # will migrate only if there is at least 1 other working slave for its master
  726. # and so forth. It usually reflects the number of slaves you want for every
  727. # master in your cluster.
  728. #
  729. # Default is 1 (slaves migrate only if their masters remain with at least
  730. # one slave). To disable migration just set it to a very large value.
  731. # A value of 0 can be set but is useful only for debugging and dangerous
  732. # in production.
  733. #
  734. # cluster-migration-barrier 1
  735. # By default Redis Cluster nodes stop accepting queries if they detect there
  736. # is at least an hash slot uncovered (no available node is serving it).
  737. # This way if the cluster is partially down (for example a range of hash slots
  738. # are no longer covered) all the cluster becomes, eventually, unavailable.
  739. # It automatically returns available as soon as all the slots are covered again.
  740. #
  741. # However sometimes you want the subset of the cluster which is working,
  742. # to continue to accept queries for the part of the key space that is still
  743. # covered. In order to do so, just set the cluster-require-full-coverage
  744. # option to no.
  745. #
  746. # cluster-require-full-coverage yes
  747. # In order to setup your cluster make sure to read the documentation
  748. # available at http://redis.io web site.
  749. ################################## SLOW LOG ###################################
  750. # The Redis Slow Log is a system to log queries that exceeded a specified
  751. # execution time. The execution time does not include the I/O operations
  752. # like talking with the client, sending the reply and so forth,
  753. # but just the time needed to actually execute the command (this is the only
  754. # stage of command execution where the thread is blocked and can not serve
  755. # other requests in the meantime).
  756. #
  757. # You can configure the slow log with two parameters: one tells Redis
  758. # what is the execution time, in microseconds, to exceed in order for the
  759. # command to get logged, and the other parameter is the length of the
  760. # slow log. When a new command is logged the oldest one is removed from the
  761. # queue of logged commands.
  762. # The following time is expressed in microseconds, so 1000000 is equivalent
  763. # to one second. Note that a negative number disables the slow log, while
  764. # a value of zero forces the logging of every command.
  765. slowlog-log-slower-than 10000
  766. # There is no limit to this length. Just be aware that it will consume memory.
  767. # You can reclaim memory used by the slow log with SLOWLOG RESET.
  768. slowlog-max-len 128
  769. ################################ LATENCY MONITOR ##############################
  770. # The Redis latency monitoring subsystem samples different operations
  771. # at runtime in order to collect data related to possible sources of
  772. # latency of a Redis instance.
  773. #
  774. # Via the LATENCY command this information is available to the user that can
  775. # print graphs and obtain reports.
  776. #
  777. # The system only logs operations that were performed in a time equal or
  778. # greater than the amount of milliseconds specified via the
  779. # latency-monitor-threshold configuration directive. When its value is set
  780. # to zero, the latency monitor is turned off.
  781. #
  782. # By default latency monitoring is disabled since it is mostly not needed
  783. # if you don't have latency issues, and collecting data has a performance
  784. # impact, that while very small, can be measured under big load. Latency
  785. # monitoring can easily be enabled at runtime using the command
  786. # "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
  787. latency-monitor-threshold 0
  788. ############################# EVENT NOTIFICATION ##############################
  789. # Redis can notify Pub/Sub clients about events happening in the key space.
  790. # This feature is documented at http://redis.io/topics/notifications
  791. #
  792. # For instance if keyspace events notification is enabled, and a client
  793. # performs a DEL operation on key "foo" stored in the Database 0, two
  794. # messages will be published via Pub/Sub:
  795. #
  796. # PUBLISH __keyspace@0__:foo del
  797. # PUBLISH __keyevent@0__:del foo
  798. #
  799. # It is possible to select the events that Redis will notify among a set
  800. # of classes. Every class is identified by a single character:
  801. #
  802. # K Keyspace events, published with __keyspace@<db>__ prefix.
  803. # E Keyevent events, published with __keyevent@<db>__ prefix.
  804. # g Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
  805. # $ String commands
  806. # l List commands
  807. # s Set commands
  808. # h Hash commands
  809. # z Sorted set commands
  810. # x Expired events (events generated every time a key expires)
  811. # e Evicted events (events generated when a key is evicted for maxmemory)
  812. # A Alias for g$lshzxe, so that the "AKE" string means all the events.
  813. #
  814. # The "notify-keyspace-events" takes as argument a string that is composed
  815. # of zero or multiple characters. The empty string means that notifications
  816. # are disabled.
  817. #
  818. # Example: to enable list and generic events, from the point of view of the
  819. # event name, use:
  820. #
  821. # notify-keyspace-events Elg
  822. #
  823. # Example 2: to get the stream of the expired keys subscribing to channel
  824. # name __keyevent@0__:expired use:
  825. #
  826. # notify-keyspace-events Ex
  827. #
  828. # By default all notifications are disabled because most users don't need
  829. # this feature and the feature has some overhead. Note that if you don't
  830. # specify at least one of K or E, no events will be delivered.
  831. notify-keyspace-events ""
  832. ############################### ADVANCED CONFIG ###############################
  833. # Hashes are encoded using a memory efficient data structure when they have a
  834. # small number of entries, and the biggest entry does not exceed a given
  835. # threshold. These thresholds can be configured using the following directives.
  836. hash-max-ziplist-entries 512
  837. hash-max-ziplist-value 64
  838. # Lists are also encoded in a special way to save a lot of space.
  839. # The number of entries allowed per internal list node can be specified
  840. # as a fixed maximum size or a maximum number of elements.
  841. # For a fixed maximum size, use -5 through -1, meaning:
  842. # -5: max size: 64 Kb <-- not recommended for normal workloads
  843. # -4: max size: 32 Kb <-- not recommended
  844. # -3: max size: 16 Kb <-- probably not recommended
  845. # -2: max size: 8 Kb <-- good
  846. # -1: max size: 4 Kb <-- good
  847. # Positive numbers mean store up to _exactly_ that number of elements
  848. # per list node.
  849. # The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
  850. # but if your use case is unique, adjust the settings as necessary.
  851. list-max-ziplist-size -2
  852. # Lists may also be compressed.
  853. # Compress depth is the number of quicklist ziplist nodes from *each* side of
  854. # the list to *exclude* from compression. The head and tail of the list
  855. # are always uncompressed for fast push/pop operations. Settings are:
  856. # 0: disable all list compression
  857. # 1: depth 1 means "don't start compressing until after 1 node into the list,
  858. # going from either the head or tail"
  859. # So: [head]->node->node->...->node->[tail]
  860. # [head], [tail] will always be uncompressed; inner nodes will compress.
  861. # 2: [head]->[next]->node->node->...->node->[prev]->[tail]
  862. # 2 here means: don't compress head or head->next or tail->prev or tail,
  863. # but compress all nodes between them.
  864. # 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
  865. # etc.
  866. list-compress-depth 0
  867. # Sets have a special encoding in just one case: when a set is composed
  868. # of just strings that happen to be integers in radix 10 in the range
  869. # of 64 bit signed integers.
  870. # The following configuration setting sets the limit in the size of the
  871. # set in order to use this special memory saving encoding.
  872. set-max-intset-entries 512
  873. # Similarly to hashes and lists, sorted sets are also specially encoded in
  874. # order to save a lot of space. This encoding is only used when the length and
  875. # elements of a sorted set are below the following limits:
  876. zset-max-ziplist-entries 128
  877. zset-max-ziplist-value 64
  878. # HyperLogLog sparse representation bytes limit. The limit includes the
  879. # 16 bytes header. When an HyperLogLog using the sparse representation crosses
  880. # this limit, it is converted into the dense representation.
  881. #
  882. # A value greater than 16000 is totally useless, since at that point the
  883. # dense representation is more memory efficient.
  884. #
  885. # The suggested value is ~ 3000 in order to have the benefits of
  886. # the space efficient encoding without slowing down too much PFADD,
  887. # which is O(N) with the sparse encoding. The value can be raised to
  888. # ~ 10000 when CPU is not a concern, but space is, and the data set is
  889. # composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
  890. hll-sparse-max-bytes 3000
  891. # Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
  892. # order to help rehashing the main Redis hash table (the one mapping top-level
  893. # keys to values). The hash table implementation Redis uses (see dict.c)
  894. # performs a lazy rehashing: the more operation you run into a hash table
  895. # that is rehashing, the more rehashing "steps" are performed, so if the
  896. # server is idle the rehashing is never complete and some more memory is used
  897. # by the hash table.
  898. #
  899. # The default is to use this millisecond 10 times every second in order to
  900. # actively rehash the main dictionaries, freeing memory when possible.
  901. #
  902. # If unsure:
  903. # use "activerehashing no" if you have hard latency requirements and it is
  904. # not a good thing in your environment that Redis can reply from time to time
  905. # to queries with 2 milliseconds delay.
  906. #
  907. # use "activerehashing yes" if you don't have such hard requirements but
  908. # want to free memory asap when possible.
  909. activerehashing yes
  910. # The client output buffer limits can be used to force disconnection of clients
  911. # that are not reading data from the server fast enough for some reason (a
  912. # common reason is that a Pub/Sub client can't consume messages as fast as the
  913. # publisher can produce them).
  914. #
  915. # The limit can be set differently for the three different classes of clients:
  916. #
  917. # normal -> normal clients including MONITOR clients
  918. # slave -> slave clients
  919. # pubsub -> clients subscribed to at least one pubsub channel or pattern
  920. #
  921. # The syntax of every client-output-buffer-limit directive is the following:
  922. #
  923. # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
  924. #
  925. # A client is immediately disconnected once the hard limit is reached, or if
  926. # the soft limit is reached and remains reached for the specified number of
  927. # seconds (continuously).
  928. # So for instance if the hard limit is 32 megabytes and the soft limit is
  929. # 16 megabytes / 10 seconds, the client will get disconnected immediately
  930. # if the size of the output buffers reach 32 megabytes, but will also get
  931. # disconnected if the client reaches 16 megabytes and continuously overcomes
  932. # the limit for 10 seconds.
  933. #
  934. # By default normal clients are not limited because they don't receive data
  935. # without asking (in a push way), but just after a request, so only
  936. # asynchronous clients may create a scenario where data is requested faster
  937. # than it can read.
  938. #
  939. # Instead there is a default limit for pubsub and slave clients, since
  940. # subscribers and slaves receive data in a push fashion.
  941. #
  942. # Both the hard or the soft limit can be disabled by setting them to zero.
  943. client-output-buffer-limit normal 0 0 0
  944. client-output-buffer-limit slave 256mb 64mb 60
  945. client-output-buffer-limit pubsub 32mb 8mb 60
  946. # Redis calls an internal function to perform many background tasks, like
  947. # closing connections of clients in timeout, purging expired keys that are
  948. # never requested, and so forth.
  949. #
  950. # Not all tasks are performed with the same frequency, but Redis checks for
  951. # tasks to perform according to the specified "hz" value.
  952. #
  953. # By default "hz" is set to 10. Raising the value will use more CPU when
  954. # Redis is idle, but at the same time will make Redis more responsive when
  955. # there are many keys expiring at the same time, and timeouts may be
  956. # handled with more precision.
  957. #
  958. # The range is between 1 and 500, however a value over 100 is usually not
  959. # a good idea. Most users should use the default of 10 and raise this up to
  960. # 100 only in environments where very low latency is required.
  961. hz 10
  962. # When a child rewrites the AOF file, if the following option is enabled
  963. # the file will be fsync-ed every 32 MB of data generated. This is useful
  964. # in order to commit the file to the disk more incrementally and avoid
  965. # big latency spikes.
  966. aof-rewrite-incremental-fsync yes
  
测试连接。

  
查看持久化的文件。

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