Docker

1.docker概述

1.1docker简介

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及其运行环境能做到一次镜像,处处运行。

1.2传统虚拟机和docker的区别

传统虚拟机（virtal machine）：

传统虚拟机技术基于安装在主操作系统上的虚拟机管理系统（如VirtualBox、VMware等），创建虚拟机（虚拟出各种硬件），在虚拟机上安装从操作系统，在从操作系统中安装部署各种应用。

缺点：资源占用多、冗余步骤多、启动慢

Linux容器（Linux Container，简称LXC）：

Linux容器是与系统其他部分分隔开的一系列进程，从另一个镜像运行，并由该镜像提供支持进程所需的全部文件。容器提供的镜像包含了应用的所有依赖项，因而在从开发到测试再到生产的整个过程中，它都具有可移植性和一致性。

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的运行。

docker的优势：

1、更高效的利用系统资源；

2、更快速的启动时间；

3、一致的运行环境；

4、持续支付和部署；

5、更轻松的迁移；

6、更轻松的维护和拓展。

对开发和运维（devops）人员来说，最希望的就是一次创建或配置，可以在任意地方正常运行。开发者可以使用一个标准的镜像来构建一套开发容器，开发完成之后，运维人员可以直接使用这个容器来部署代码。Docker可以快速创建容器，快速迭代应用程序，并让整个过程全程可见，使团队中的其他成员更容易理解应用程序是如何创建和工作的。Docker容器很轻很快！容器的启动时间是秒级的，大量地节约开发、测试、部署的时间。

对比：

特性	容器	虚拟机
启动	秒级	分钟级
大小	一般为Mb	一般为Gb
速度	接近原生	比较慢
系统支持数量	单机支持上千个容器	一般几十个

1.3Docker软件

Docker并非一个通用的容器工具，它依赖于已经存在并运行的Linux内核环境。（在Windows上安装Docker时需要依赖WLS，也即Windows下的Linux子系统）。

Docker实质上是在已经运行的Linux下制造了一个隔离的文件环境，因此它执行的效率几乎等同于所部署的Linux主机。

Docker的基本组成部分：

• 镜像（image）

• 容器（container）

• 仓库（repository）

Docker镜像

Docker镜像就是一个只读的模板。镜像可以用来创建Docker容器，一个镜像可以创建多个容器。

Docker容器

Docker利用容器独立运行的一个或一组应用，应用程序或服务运行在容器里面，容器就类似于一个虚拟化的运行环境，容器是用镜像创建的运行实例。

Docker仓库

Docker仓库是集中存放镜像文件的场所。

仓库分为公开仓库和私有仓库两种。

最大的公开仓库是Docker官方的Docker Hub：https://hub.docker.com/

1.4Docker架构

Docker是一个 C/S（Client-Server） 结构的系统，后端是一个松耦合架构，众多模块各司其职。

Docker守护进程运行在主机上，然后通过Socket连接从客户端访问，守护进程从容器接收命令并管理运行在主机上的容器。

Docker运行的基本流程为：

1. 用户是使用Docker Client 与 Docker Daemon 建立通信，并发送请求给后者
2. Docker Daemon 作为 Docker 架构的主体部分，首先提供 Docker Server 的功能使其可以接收 Docker Client 的请求
3. Docker Engine 执行 Docker 内部的一系列工作，每一项工作都是以一个 Job 的形式存在
4. Job 的运行过程中，当需要容器镜像时，则从 Docker Registry 中下载镜像，并通过镜像管理驱动 Graph Driver 将下载镜像以 Graph 的形式存储
5. 当需要为 Docker 创建网络环境时，通过网络管理驱动 Network driver 创建并配置 Docker 容器网络环境
6. 当需要限制 Docker 容器运行资源或执行用户指令等操作时，则通过 Exec driver 来完成
7. Libcontainer 是一项独立的容器管理包，Network driver 以及 Exec driver 都是通过 Libcontainer 来实现具体对容器进行的操作

2.docker安装

参考官网：https://docs.docker.com/engine/install/centos/

2.1写在旧版本

如果之前安装过Docker，需要先卸载旧版本：

sudo yum remove docker \
                  docker-client \
                  docker-client-latest \
                  docker-common \
                  docker-latest \
                  docker-latest-logrotate \
                  docker-logrotate \
                  docker-engine

旧版本的Docker引擎包可能叫做：docker、docker-engine。

新版本的Docker引擎包叫做：docker-ce

安装gcc
yum -y install gcc
yum -y install gcc-c++

2.2配置yum资源库

安装yum-config-manager：

# yum-util提供yum-config-manager功能 
sudo yum install -y yum-utils

配置docker的资源库地址：

官方地址：（比较慢，不推荐）

# 在yum资源库中添加docker资源库
sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo

阿里云镜像地址：

sudo yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

创建缓存（可选）：

yum makecache fast

2.3安装Docker引擎(不必要)

安装最新版本的Docker引擎、Docker客户端：

# docker-ce是Docker引擎，docker-ce-cli是客户端
sudo yum install docker-ce docker-ce-cli containerd.io docker-compose-plugin

如果要安装指定版本：

# 查询版本列表
yum list docker-ce --showduplicates | sort -r

# 指定版本安装17.09.0.ce版
# sudo yum install docker-ce-<VERSION_STRING> docker-ce-cli-<VERSION_STRING> containerd.io docker-compose-plugin
sudo yum install docker-ce-17.09.0.ce docker-ce-cli-17.09.0.ce containerd.io docker-compose-plugin

2.4启动docker引擎

如果没有启动Docker引擎，那么执行 docker version查看版本号时，只能看到 Client: Docker Engine（Docker引擎客户端）的版本号。

启动Docker引擎：

# 新版本的Docker就是一个系统服务，可以直接使用启动系统服务方式启动
systemctl start docker

# 此时查看docker版本，可以看到Server: Docker Engine（Docker引擎）版本号
docker version

2.5卸载Docker

1. 关闭服务

systemctl stop docker

2. 使用yum删除docker引擎

sudo yum remove docker-ce docker-ce-cli containerd.io

3. 删除镜像、容器、卷、自定义配置等文件

 sudo rm -rf /var/lib/docker
 sudo rm -rf /var/lib/containerd

2.6运行HelloWorld测试

docker run hello-world

2.7.docker下载加速

1：使用 网易数帆、阿里云等容器镜像仓库进行下载。

1：网易数帆

docker pull hub.c.163.com/library/mysql:latest

2：配置阿里云加速。（搜索镜像加速器）

cd /etc/docker

# 初次进来时没有/etc/docker/daemon.json文件，直接创建该文件即可
vi /etc/docker/daemon.json

在daemon.json中写入以下内容：（即加速器地址）

{
  "registry-mirrors": ["https://xxxxx.mirror.aliyuncs.com"]  
}

然后刷新配置、重启docker即可：

sudo systemctl daemon-reload
sudo systemctl restart docker

2.可以直接下载官方的镜像，且镜像tag为官方tag，不需要加上云服务商的地址。

docker pull mysql:latest

3.docker常用命令

3.1启动类命令

启动docker：

systemctl start docker

停止Docker：

systemctl stop docker

重启Docker：

systemctl restart docker

查看状态：

systemctl status docker

设置开机自启：

systemctl enable docker

3.2帮助类命令

查看Docker版本：

docker version

查看Docker概要信息：

docker info

查看Docker总体帮助文档：

docker --help

查看docker具体命令帮助文档：

docker 具体命令 --help

3.3 镜像命令

1. 列出本地主机上的镜像

docker images

参数：

●-a：列出所有镜像（含历史镜像）

●-q：只显示镜像ID

●-f：过滤

2.在远程仓库中搜索镜像

docker search 镜像名称

docker search redis

参数：

• -f：过滤

• --limit 数量：只展示前几项

3.下载镜像

docker pull 镜像名称[:tag]

不加 tag 时，默认下载最新的镜像（即tag为latest）。

4.查看占据的空间

查看镜像/容器/数据卷所占的空间：

docker system df

5.删除镜像

docker rmi   IMAGE ID 

可以使用空格分隔，删除多个镜像：

docker rmi 镜像1 镜像2 镜像3

删除全部镜像：

docker rmi -f $(docker images -qa)

6.虚悬镜像

仓库名、标签都是的镜像，俗称虚悬镜像（dangling image）。

3.4命令自动补全

docker支持命令自动补全功能，当输入镜像名前几位时，可以按tab键自动补全镜像名称、tag等。

# 如果镜像中有ubuntu，查看输入ub按下tab是否可以补全
docker run ub

如果按下tab时没有自动补全，可以按以下步骤操作：

1 检查是否安装了bash-completion（命令补全增强包）

# 检查有 /usr/share/bash-completion/bash_completion 这个文件
ls /usr/share/bash-completion/bash_completion

2 如果有/usr/share/bash-completion目录，但是没有/usr/share/bash-completion/bash_completion文件（centos6为/etc/bash_completion文件），则需要安装bash-completion

yum -y install bash-completion

3 检查是否安装了docker的自动补全

# 检查/usr/share/bash-completion/completions文件夹下是否有docker开头的自动补全
# docker安装完后会在该文件夹下生成自动补全文件docker
# 如果安装了docker-compose，则该文件夹下还会有 docker-compose文件
ll /usr/share/bash-completion/completions/docker* 

4 如果已经安装了docker自动补全，使用source命令使其生效

source /usr/share/bash-completion/completions/docker

5 再次使用tab查看是否可以自动补全

# 如果镜像中有ubuntu，查看输入ub按下tab是否可以补全
docker run ub

6 如果有报错，且报错中提示_get_comp_words_by_ref: command not found。说明bash-completion的配置文件没有生效，需要source一下

# 对于centos7，bash-completion安装的是2.x版本，配置文件为/usr/share/bash-completion/bash_completion
source /usr/share/bash-completion/bash_completion

# 如果是centos6，自动安装的bash-completion最新版为1.x版本，配置文件为/etc/bash_completion
# bash /etc/bash_completion

7 再次使用tab查看是否可以自动补全

# 如果镜像中有ubuntu，查看输入ub按下tab是否可以补全
docker run ub

3.5docker运行命令

–add-host list Add a custom host-to-IP mapping
(host:ip)
–annotation map Add an annotation to the
container (passed through to the
OCI runtime) (default map[])
-a, --attach list Attach to STDIN, STDOUT or STDERR
–blkio-weight uint16 Block IO (relative weight),
between 10 and 1000, or 0 to
disable (default 0)
–blkio-weight-device list Block IO weight (relative device
weight) (default [])
–cap-add list Add Linux capabilities
–cap-drop list Drop Linux capabilities
–cgroup-parent string Optional parent cgroup for the
container
–cgroupns string Cgroup namespace to use
(host|private)
‘host’: Run the container in
the Docker host’s cgroup
namespace
‘private’: Run the container in
its own private cgroup namespace
‘’: Use the cgroup
namespace as configured by the
default-cgroupns-mode
option on the daemon (default)
–cidfile string Write the container ID to the file
–cpu-period int Limit CPU CFS (Completely Fair
Scheduler) period
–cpu-quota int Limit CPU CFS (Completely Fair
Scheduler) quota
–cpu-rt-period int Limit CPU real-time period in
microseconds
–cpu-rt-runtime int Limit CPU real-time runtime in
microseconds
-c, --cpu-shares int CPU shares (relative weight)
–cpus decimal Number of CPUs
–cpuset-cpus string CPUs in which to allow execution
(0-3, 0,1)
–cpuset-mems string MEMs in which to allow execution
(0-3, 0,1)
-d, --detach Run container in background and
print container ID
–detach-keys string Override the key sequence for
detaching a container
–device list Add a host device to the container
–device-cgroup-rule list Add a rule to the cgroup allowed
devices list
–device-read-bps list Limit read rate (bytes per
second) from a device (default [])
–device-read-iops list Limit read rate (IO per second)
from a device (default [])
–device-write-bps list Limit write rate (bytes per
second) to a device (default [])
–device-write-iops list Limit write rate (IO per second)
to a device (default [])
–disable-content-trust Skip image verification (default true)
–dns list Set custom DNS servers
–dns-option list Set DNS options
–dns-search list Set custom DNS search domains
–domainname string Container NIS domain name
–entrypoint string Overwrite the default ENTRYPOINT
of the image
-e, --env list Set environment variables
–env-file list Read in a file of environment
variables
–expose list Expose a port or a range of ports
–gpus gpu-request GPU devices to add to the
container (‘all’ to pass all GPUs)
–group-add list Add additional groups to join
–health-cmd string Command to run to check health
–health-interval duration Time between running the check
(ms|s|m|h) (default 0s)
–health-retries int Consecutive failures needed to
report unhealthy
–health-start-interval duration Time between running the check
during the start period
(ms|s|m|h) (default 0s)
–health-start-period duration Start period for the container to
initialize before starting
health-retries countdown
(ms|s|m|h) (default 0s)
–health-timeout duration Maximum time to allow one check
to run (ms|s|m|h) (default 0s)
–help Print usage
-h, --hostname string Container host name
–init Run an init inside the container
that forwards signals and reaps
processes
-i, --interactive Keep STDIN open even if not attached
–ip string IPv4 address (e.g., 172.30.100.104)
–ip6 string IPv6 address (e.g., 2001:db8::33)
–ipc string IPC mode to use
–isolation string Container isolation technology
–kernel-memory bytes Kernel memory limit
-l, --label list Set meta data on a container
–label-file list Read in a line delimited file of
labels
–link list Add link to another container
–link-local-ip list Container IPv4/IPv6 link-local
addresses
–log-driver string Logging driver for the container
–log-opt list Log driver options
–mac-address string Container MAC address (e.g.,
92:d0:c6:0a:29:33)
-m, --memory bytes Memory limit
–memory-reservation bytes Memory soft limit
–memory-swap bytes Swap limit equal to memory plus
swap: ‘-1’ to enable unlimited swap
–memory-swappiness int Tune container memory swappiness
(0 to 100) (default -1)
–mount mount Attach a filesystem mount to the
container
–name string Assign a name to the container
–network network Connect a container to a network
–network-alias list Add network-scoped alias for the
container
–no-healthcheck Disable any container-specified
HEALTHCHECK
–oom-kill-disable Disable OOM Killer
–oom-score-adj int Tune host’s OOM preferences
(-1000 to 1000)
–pid string PID namespace to use
–pids-limit int Tune container pids limit (set -1
for unlimited)
–platform string Set platform if server is
multi-platform capable
–privileged Give extended privileges to this
container
-p, --publish list Publish a container’s port(s) to
the host
-P, --publish-all Publish all exposed ports to
random ports
–pull string Pull image before running
(“always”, “missing”, “never”)
(default “missing”)
-q, --quiet Suppress the pull output
–read-only Mount the container’s root
filesystem as read only
–restart string Restart policy to apply when a
container exits (default “no”)
–rm Automatically remove the
container when it exits
–runtime string Runtime to use for this container
–security-opt list Security Options
–shm-size bytes Size of /dev/shm
–sig-proxy Proxy received signals to the
process (default true)
–stop-signal string Signal to stop the container
–stop-timeout int Timeout (in seconds) to stop a
container
–storage-opt list Storage driver options for the
container
–sysctl map Sysctl options (default map[])
–tmpfs list Mount a tmpfs directory
-t, --tty Allocate a pseudo-TTY
–ulimit ulimit Ulimit options (default [])
-u, --user string Username or UID (format:
<name|uid>[:<group|gid>])
–userns string User namespace to use
–uts string UTS namespace to use
-v, --volume list Bind mount a volume
–volume-driver string Optional volume driver for the
container
–volumes-from list Mount volumes from the specified
container(s)
-w, --workdir string Working directory inside the container

4.docker安装tomcat

1.docker hub上面查找tomcat镜像

docker search tomcat

2.从docker hub上拉取tomcat镜像到本地

docker pull tomcat:8.5.32

3.docker images查看是否有拉取到的tomcat

docker images

4.使用tomcat镜像创建容器实例(也叫运行镜像)

docker run -it --name mytomcat1 -p 8080:8080 tomcat:8.5.32

• -p 小写，主机端口:docker容器端口
• -P 大写，随机分配端口
• i:交互
• t:终端
• d:后台

注意：如果你的tomcat安装的是最新版本的（8以上版本）,按照下面的方式作

1.进入容器

docker exec -it 容器id /bin/bash

2.将webapps.dist下内容拷贝到webapps

 cp -r webapps.dist/* webapps

5.docker安装mysql

1.docker hub上面查找mysql镜像

docker search mysql

2.从docker hub上(阿里云加速器)拉取mysql镜像到本地标签为8.0

docker pull mysql:8.0

3.使用mysql8.0镜像创建容器(也叫运行镜像)，检查虚拟机上的mysql是否删除

docker run -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 -d mysql:8.0

4.查看是否启动成功

docker ps

5.进入容器，创建mysql了实例

docker exec -it 容器ID /bin/bash

6.登录mysql

mysql -uroot -p

7.授权root远程访问

GRANT ALL ON *.* TO 'root'@'%';

8.修改密码（可选）

ALTER USER 'root'@'%' IDENTIFIED WITH mysql_native_password BY 'root';

9.刷新权限

FLUSH PRIVILEGES;

6.docker安装redis

1.从docker hub上(阿里云加速器)拉取redis镜像到本地标签为6.0.8

docker pull redis:6.0.8

2.查看镜像是否安装

docker images

3.简单版redis运行

docker run -d -p 6379:6379 redis:6.0.8 

4.编写代码

docker exec -it 服务地址 /bin/bash
redis-cli

3.创建 redis.conf配置文件

因为 docker 安装运行 redis容器，是没有配置文件的，需要自己手动创建一个 redis.conf 文件 ,我这边有一份 redis默认配置文件，直接复制就能用，适用于 Redis版本 小于6,因为redis6增加了用户名密码验证

创建目录
 mkdir -p  app/redis

修改配置文件

/app/redis目录下修改redis.conf文件
  1 开启redis验证    可选
    requirepass 123
 
  2 允许redis外地连接  必须
     注释掉 # bind 127.0.0.1

 
  3   daemonize no
    将daemonize yes注释起来或者 daemonize no设置，因为该配置和docker run中-d参数冲突，会导致容器一直启动失败...

redis配置文件

# Redis configuration file example

# Note on units: when memory size is needed, it is possible to specify
# it in the usual form of 1k 5GB 4M and so forth:
#
# 1k => 1000 bytes
# 1kb => 1024 bytes
# 1m => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# units are case insensitive so 1GB 1Gb 1gB are all the same.

################################## INCLUDES ###################################

# Include one or more other config files here.  This is useful if you
# have a standard template that goes to all Redis servers but also need
# to customize a few per-server settings.  Include files can include
# other files, so use this wisely.
#
# Notice option "include" won't be rewritten by command "CONFIG REWRITE"
# from admin or Redis Sentinel. Since Redis always uses the last processed
# line as value of a configuration directive, you'd better put includes
# at the beginning of this file to avoid overwriting config change at runtime.
#
# If instead you are interested in using includes to override configuration
# options, it is better to use include as the last line.
#
# include .\path\to\local.conf
# include c:\path\to\other.conf

################################ GENERAL  #####################################

# On Windows, daemonize and pidfile are not supported.
# However, you can run redis as a Windows service, and specify a logfile.
# The logfile will contain the pid. 

# Accept connections on the specified port, default is 6379.
# If port 0 is specified Redis will not listen on a TCP socket.
port 6379

# TCP listen() backlog.
#
# In high requests-per-second environments you need an high backlog in order
# to avoid slow clients connections issues. Note that the Linux kernel
# will silently truncate it to the value of /proc/sys/net/core/somaxconn so
# make sure to raise both the value of somaxconn and tcp_max_syn_backlog
# in order to get the desired effect.
tcp-backlog 511

# By default Redis listens for connections from all the network interfaces
# available on the server. It is possible to listen to just one or multiple
# interfaces using the "bind" configuration directive, followed by one or
# more IP addresses.
#
# Examples:
#
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1


# Specify the path for the Unix socket that will be used to listen for
# incoming connections. There is no default, so Redis will not listen
# on a unix socket when not specified.
#
# unixsocket /tmp/redis.sock
# unixsocketperm 700

# Close the connection after a client is idle for N seconds (0 to disable)
timeout 0

# TCP keepalive.
#
# If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
# of communication. This is useful for two reasons:
#
# 1) Detect dead peers.
# 2) Take the connection alive from the point of view of network
#    equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.
tcp-keepalive 0

# Specify the server verbosity level.
# This can be one of:
# debug (a lot of information, useful for development/testing)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (moderately verbose, what you want in production probably)
# warning (only very important / critical messages are logged)
loglevel notice

# Specify the log file name. Also 'stdout' can be used to force
# Redis to log on the standard output. 
logfile ""

# To enable logging to the Windows EventLog, just set 'syslog-enabled' to 
# yes, and optionally update the other syslog parameters to suit your needs.
# If Redis is installed and launched as a Windows Service, this will 
# automatically be enabled.
# syslog-enabled no

# Specify the source name of the events in the Windows Application log.
# syslog-ident redis

# Set the number of databases. The default database is DB 0, you can select
# a different one on a per-connection basis using SELECT <dbid> where
# dbid is a number between 0 and 'databases'-1
databases 16

################################ SNAPSHOTTING  ################################
#
# Save the DB on disk:
#
#   save <seconds> <changes>
#
#   Will save the DB if both the given number of seconds and the given
#   number of write operations against the DB occurred.
#
#   In the example below the behaviour will be to save:
#   after 900 sec (15 min) if at least 1 key changed
#   after 300 sec (5 min) if at least 10 keys changed
#   after 60 sec if at least 10000 keys changed
#
#   Note: you can disable saving completely by commenting out all "save" lines.
#
#   It is also possible to remove all the previously configured save
#   points by adding a save directive with a single empty string argument
#   like in the following example:
#
#   save ""

save 900 1
save 300 10
save 60 10000

# By default Redis will stop accepting writes if RDB snapshots are enabled
# (at least one save point) and the latest background save failed.
# This will make the user aware (in a hard way) that data is not persisting
# on disk properly, otherwise chances are that no one will notice and some
# disaster will happen.
#
# If the background saving process will start working again Redis will
# automatically allow writes again.
#
# However if you have setup your proper monitoring of the Redis server
# and persistence, you may want to disable this feature so that Redis will
# continue to work as usual even if there are problems with disk,
# permissions, and so forth.
stop-writes-on-bgsave-error yes

# Compress string objects using LZF when dump .rdb databases?
# For default that's set to 'yes' as it's almost always a win.
# If you want to save some CPU in the saving child set it to 'no' but
# the dataset will likely be bigger if you have compressible values or keys.
rdbcompression yes

# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
# This makes the format more resistant to corruption but there is a performance
# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
# for maximum performances.
#
# RDB files created with checksum disabled have a checksum of zero that will
# tell the loading code to skip the check.
rdbchecksum yes

# The filename where to dump the DB
dbfilename dump.rdb

# The working directory.
#
# The DB will be written inside this directory, with the filename specified
# above using the 'dbfilename' configuration directive.
# 
# The Append Only File will also be created inside this directory.
# 
# Note that you must specify a directory here, not a file name.
dir ./

################################# REPLICATION #################################

# Master-Slave replication. Use slaveof to make a Redis instance a copy of
# another Redis server. A few things to understand ASAP about Redis replication.
#
# 1) Redis replication is asynchronous, but you can configure a master to
#    stop accepting writes if it appears to be not connected with at least
#    a given number of slaves.
# 2) Redis slaves are able to perform a partial resynchronization with the
#    master if the replication link is lost for a relatively small amount of
#    time. You may want to configure the replication backlog size (see the next
#    sections of this file) with a sensible value depending on your needs.
# 3) Replication is automatic and does not need user intervention. After a
#    network partition slaves automatically try to reconnect to masters
#    and resynchronize with them.
#
# slaveof <masterip> <masterport>

# If the master is password protected (using the "requirepass" configuration
# directive below) it is possible to tell the slave to authenticate before
# starting the replication synchronization process, otherwise the master will
# refuse the slave request.
#
# masterauth <master-password>

# When a slave loses its connection with the master, or when the replication
# is still in progress, the slave can act in two different ways:
#
# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
#    still reply to client requests, possibly with out of date data, or the
#    data set may just be empty if this is the first synchronization.
#
# 2) if slave-serve-stale-data is set to 'no' the slave will reply with
#    an error "SYNC with master in progress" to all the kind of commands
#    but to INFO and SLAVEOF.
#
slave-serve-stale-data yes

# You can configure a slave instance to accept writes or not. Writing against
# a slave instance may be useful to store some ephemeral data (because data
# written on a slave will be easily deleted after resync with the master) but
# may also cause problems if clients are writing to it because of a
# misconfiguration.
#
# Since Redis 2.6 by default slaves are read-only.
#
# Note: read only slaves are not designed to be exposed to untrusted clients
# on the internet. It's just a protection layer against misuse of the instance.
# Still a read only slave exports by default all the administrative commands
# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
# security of read only slaves using 'rename-command' to shadow all the
# administrative / dangerous commands.
slave-read-only yes

# Replication SYNC strategy: disk or socket.
#
# -------------------------------------------------------
# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
# -------------------------------------------------------
#
# New slaves and reconnecting slaves that are not able to continue the replication
# process just receiving differences, need to do what is called a "full
# synchronization". An RDB file is transmitted from the master to the slaves.
# The transmission can happen in two different ways:
#
# 1) Disk-backed: The Redis master creates a new process that writes the RDB
#                 file on disk. Later the file is transferred by the parent
#                 process to the slaves incrementally.
# 2) Diskless: The Redis master creates a new process that directly writes the
#              RDB file to slave sockets, without touching the disk at all.
#
# With disk-backed replication, while the RDB file is generated, more slaves
# can be queued and served with the RDB file as soon as the current child producing
# the RDB file finishes its work. With diskless replication instead once
# the transfer starts, new slaves arriving will be queued and a new transfer
# will start when the current one terminates.
#
# When diskless replication is used, the master waits a configurable amount of
# time (in seconds) before starting the transfer in the hope that multiple slaves
# will arrive and the transfer can be parallelized.
#
# With slow disks and fast (large bandwidth) networks, diskless replication
# works better.
repl-diskless-sync no

# When diskless replication is enabled, it is possible to configure the delay
# the server waits in order to spawn the child that transfers the RDB via socket
# to the slaves.
#
# This is important since once the transfer starts, it is not possible to serve
# new slaves arriving, that will be queued for the next RDB transfer, so the server
# waits a delay in order to let more slaves arrive.
#
# The delay is specified in seconds, and by default is 5 seconds. To disable
# it entirely just set it to 0 seconds and the transfer will start ASAP.
repl-diskless-sync-delay 5

# Slaves send PINGs to server in a predefined interval. It's possible to change
# this interval with the repl_ping_slave_period option. The default value is 10
# seconds.
#
# repl-ping-slave-period 10

# The following option sets the replication timeout for:
#
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
# 2) Master timeout from the point of view of slaves (data, pings).
# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
#
# It is important to make sure that this value is greater than the value
# specified for repl-ping-slave-period otherwise a timeout will be detected
# every time there is low traffic between the master and the slave.
#
# repl-timeout 60

# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave side will
# be reduced but more bandwidth will be used for replication.
#
# By default we optimize for low latency, but in very high traffic conditions
# or when the master and slaves are many hops away, turning this to "yes" may
# be a good idea.
repl-disable-tcp-nodelay no

# Set the replication backlog size. The backlog is a buffer that accumulates
# slave data when slaves are disconnected for some time, so that when a slave
# wants to reconnect again, often a full resync is not needed, but a partial
# resync is enough, just passing the portion of data the slave missed while
# disconnected.
#
# The bigger the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
#
# The backlog is only allocated once there is at least a slave connected.
#
# repl-backlog-size 1mb

# After a master has no longer connected slaves for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need to elapse, starting from the time the last slave disconnected, for
# the backlog buffer to be freed.
#
# A value of 0 means to never release the backlog.
#
# repl-backlog-ttl 3600

# The slave priority is an integer number published by Redis in the INFO output.
# It is used by Redis Sentinel in order to select a slave to promote into a
# master if the master is no longer working correctly.
#
# A slave with a low priority number is considered better for promotion, so
# for instance if there are three slaves with priority 10, 100, 25 Sentinel will
# pick the one with priority 10, that is the lowest.
#
# However a special priority of 0 marks the slave as not able to perform the
# role of master, so a slave with priority of 0 will never be selected by
# Redis Sentinel for promotion.
#
# By default the priority is 100.
slave-priority 100

# It is possible for a master to stop accepting writes if there are less than
# N slaves connected, having a lag less or equal than M seconds.
#
# The N slaves need to be in "online" state.
#
# The lag in seconds, that must be <= the specified value, is calculated from
# the last ping received from the slave, that is usually sent every second.
#
# This option does not GUARANTEE that N replicas will accept the write, but
# will limit the window of exposure for lost writes in case not enough slaves
# are available, to the specified number of seconds.
#
# For example to require at least 3 slaves with a lag <= 10 seconds use:
#
# min-slaves-to-write 3
# min-slaves-max-lag 10
#
# Setting one or the other to 0 disables the feature.
#
# By default min-slaves-to-write is set to 0 (feature disabled) and
# min-slaves-max-lag is set to 10.

################################## SECURITY ###################################

# Require clients to issue AUTH <PASSWORD> before processing any other
# commands.  This might be useful in environments in which you do not trust
# others with access to the host running redis-server.
#
# This should stay commented out for backward compatibility and because most
# people do not need auth (e.g. they run their own servers).
# 
# Warning: since Redis is pretty fast an outside user can try up to
# 150k passwords per second against a good box. This means that you should
# use a very strong password otherwise it will be very easy to break.
#
# requirepass foobared

# Command renaming.
#
# It is possible to change the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard to guess so that it will still be available for internal-use tools
# but not available for general clients.
#
# Example:
#
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
#
# It is also possible to completely kill a command by renaming it into
# an empty string:
#
# rename-command CONFIG ""
#
# Please note that changing the name of commands that are logged into the
# AOF file or transmitted to slaves may cause problems.

################################### LIMITS ####################################

# Set the max number of connected clients at the same time. By default
# this limit is set to 10000 clients, however if the Redis server is not
# able to configure the process file limit to allow for the specified limit
# the max number of allowed clients is set to the current file limit
# minus 32 (as Redis reserves a few file descriptors for internal uses).
#
# Once the limit is reached Redis will close all the new connections sending
# an error 'max number of clients reached'.
#
# maxclients 10000

# If Redis is to be used as an in-memory-only cache without any kind of
# persistence, then the fork() mechanism used by the background AOF/RDB
# persistence is unnecessary. As an optimization, all persistence can be
# turned off in the Windows version of Redis. This will redirect heap
# allocations to the system heap allocator, and disable commands that would
# otherwise cause fork() operations: BGSAVE and BGREWRITEAOF.
# This flag may not be combined with any of the other flags that configure
# AOF and RDB operations.
# persistence-available [(yes)|no]

# Don't use more memory than the specified amount of bytes.
# When the memory limit is reached Redis will try to remove keys
# according to the eviction policy selected (see maxmemory-policy).
#
# If Redis can't remove keys according to the policy, or if the policy is
# set to 'noeviction', Redis will start to reply with errors to commands
# that would use more memory, like SET, LPUSH, and so on, and will continue
# to reply to read-only commands like GET.
#
# This option is usually useful when using Redis as an LRU cache, or to set
# a hard memory limit for an instance (using the 'noeviction' policy).
#
# WARNING: If you have slaves attached to an instance with maxmemory on,
# the size of the output buffers needed to feed the slaves are subtracted
# from the used memory count, so that network problems / resyncs will
# not trigger a loop where keys are evicted, and in turn the output
# buffer of slaves is full with DELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# In short... if you have slaves attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for slave
# output buffers (but this is not needed if the policy is 'noeviction').
#
# WARNING: not setting maxmemory will cause Redis to terminate with an
# out-of-memory exception if the heap limit is reached.
#
# NOTE: since Redis uses the system paging file to allocate the heap memory,
# the Working Set memory usage showed by the Windows Task Manager or by other
# tools such as ProcessExplorer will not always be accurate. For example, right
# after a background save of the RDB or the AOF files, the working set value
# may drop significantly. In order to check the correct amount of memory used
# by the redis-server to store the data, use the INFO client command. The INFO
# command shows only the memory used to store the redis data, not the extra
# memory used by the Windows process for its own requirements. Th3 extra amount
# of memory not reported by the INFO command can be calculated subtracting the
# Peak Working Set reported by the Windows Task Manager and the used_memory_peak
# reported by the INFO command.
#
# maxmemory <bytes>

# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
# is reached. You can select among five behaviors:
# 
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# allkeys-lru -> remove any key according to the LRU algorithm
# volatile-random -> remove a random key with an expire set
# allkeys-random -> remove a random key, any key
# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
# noeviction -> don't expire at all, just return an error on write operations
# 
# Note: with any of the above policies, Redis will return an error on write
#       operations, when there are no suitable keys for eviction.
#
#       At the date of writing these commands are: set setnx setex append
#       incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
#       sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
#       zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
#       getset mset msetnx exec sort
#
# The default is:
#
# maxmemory-policy noeviction

# LRU and minimal TTL algorithms are not precise algorithms but approximated
# algorithms (in order to save memory), so you can select as well the sample
# size to check. For instance for default Redis will check three keys and
# pick the one that was used less recently, you can change the sample size
# using the following configuration directive.
#
# maxmemory-samples 3

############################## APPEND ONLY MODE ###############################

# By default Redis asynchronously dumps the dataset on disk. This mode is
# good enough in many applications, but an issue with the Redis process or
# a power outage may result into a few minutes of writes lost (depending on
# the configured save points).
#
# The Append Only File is an alternative persistence mode that provides
# much better durability. For instance using the default data fsync policy
# (see later in the config file) Redis can lose just one second of writes in a
# dramatic event like a server power outage, or a single write if something
# wrong with the Redis process itself happens, but the operating system is
# still running correctly.
#
# AOF and RDB persistence can be enabled at the same time without problems.
# If the AOF is enabled on startup Redis will load the AOF, that is the file
# with the better durability guarantees.
#
# Please check http://redis.io/topics/persistence for more information.

appendonly no

# The name of the append only file (default: "appendonly.aof")
appendfilename "appendonly.aof"

# The fsync() call tells the Operating System to actually write data on disk
# instead of waiting for more data in the output buffer. Some OS will really flush
# data on disk, some other OS will just try to do it ASAP.
#
# Redis supports three different modes:
#
# no: don't fsync, just let the OS flush the data when it wants. Faster.
# always: fsync after every write to the append only log . Slow, Safest.
# everysec: fsync only one time every second. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It's up to you to understand if you can relax this to
# "no" that will let the operating system flush the output buffer when
# it wants, for better performances (but if you can live with the idea of
# some data loss consider the default persistence mode that's snapshotting),
# or on the contrary, use "always" that's very slow but a bit safer than
# everysec.
#
# More details please check the following article:
# http://antirez.com/post/redis-persistence-demystified.html
#
# If unsure, use "everysec".

# appendfsync always
appendfsync everysec
# appendfsync no

# When the AOF fsync policy is set to always or everysec, and a background
# saving process (a background save or AOF log background rewriting) is
# performing a lot of I/O against the disk, in some Linux configurations
# Redis may block too long on the fsync() call. Note that there is no fix for
# this currently, as even performing fsync in a different thread will block
# our synchronous write(2) call.
#
# In order to mitigate this problem it's possible to use the following option
# that will prevent fsync() from being called in the main process while a
# BGSAVE or BGREWRITEAOF is in progress.
#
# This means that while another child is saving, the durability of Redis is
# the same as "appendfsync none". In practical terms, this means that it is
# possible to lose up to 30 seconds of log in the worst scenario (with the
# default Linux settings).
# 
# If you have latency problems turn this to "yes". Otherwise leave it as
# "no" that is the safest pick from the point of view of durability.
no-appendfsync-on-rewrite no

# Automatic rewrite of the append only file.
# Redis is able to automatically rewrite the log file implicitly calling
# BGREWRITEAOF when the AOF log size grows by the specified percentage.
# 
# This is how it works: Redis remembers the size of the AOF file after the
# latest rewrite (if no rewrite has happened since the restart, the size of
# the AOF at startup is used).
#
# This base size is compared to the current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need to specify a minimal size for the AOF file to be rewritten, this
# is useful to avoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order to disable the automatic AOF
# rewrite feature.

auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb

# An AOF file may be found to be truncated at the end during the Redis
# startup process, when the AOF data gets loaded back into memory.
# This may happen when the system where Redis is running
# crashes, especially when an ext4 filesystem is mounted without the
# data=ordered option (however this can't happen when Redis itself
# crashes or aborts but the operating system still works correctly).
#
# Redis can either exit with an error when this happens, or load as much
# data as possible (the default now) and start if the AOF file is found
# to be truncated at the end. The following option controls this behavior.
#
# If aof-load-truncated is set to yes, a truncated AOF file is loaded and
# the Redis server starts emitting a log to inform the user of the event.
# Otherwise if the option is set to no, the server aborts with an error
# and refuses to start. When the option is set to no, the user requires
# to fix the AOF file using the "redis-check-aof" utility before to restart
# the server.
#
# Note that if the AOF file will be found to be corrupted in the middle
# the server will still exit with an error. This option only applies when
# Redis will try to read more data from the AOF file but not enough bytes
# will be found.
aof-load-truncated yes

################################ LUA SCRIPTING  ###############################

# Max execution time of a Lua script in milliseconds.
#
# If the maximum execution time is reached Redis will log that a script is
# still in execution after the maximum allowed time and will start to
# reply to queries with an error.
#
# When a long running script exceeds the maximum execution time only the
# SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
# used to stop a script that did not yet called write commands. The second
# is the only way to shut down the server in the case a write command was
# already issued by the script but the user doesn't want to wait for the natural
# termination of the script.
#
# Set it to 0 or a negative value for unlimited execution without warnings.
lua-time-limit 5000

################################ REDIS CLUSTER  ###############################
#
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# WARNING EXPERIMENTAL: Redis Cluster is considered to be stable code, however
# in order to mark it as "mature" we need to wait for a non trivial percentage
# of users to deploy it in production.
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#
# Normal Redis instances can't be part of a Redis Cluster; only nodes that are
# started as cluster nodes can. In order to start a Redis instance as a
# cluster node enable the cluster support uncommenting the following:
#
# cluster-enabled yes

# Every cluster node has a cluster configuration file. This file is not
# intended to be edited by hand. It is created and updated by Redis nodes.
# Every Redis Cluster node requires a different cluster configuration file.
# Make sure that instances running in the same system do not have
# overlapping cluster configuration file names.
#
# cluster-config-file nodes-6379.conf

# Cluster node timeout is the amount of milliseconds a node must be unreachable
# for it to be considered in failure state.
# Most other internal time limits are multiple of the node timeout.
#
# cluster-node-timeout 15000

# A slave of a failing master will avoid to start a failover if its data
# looks too old.
#
# There is no simple way for a slave to actually have a exact measure of
# its "data age", so the following two checks are performed:
#
# 1) If there are multiple slaves able to failover, they exchange messages
#    in order to try to give an advantage to the slave with the best
#    replication offset (more data from the master processed).
#    Slaves will try to get their rank by offset, and apply to the start
#    of the failover a delay proportional to their rank.
#
# 2) Every single slave computes the time of the last interaction with
#    its master. This can be the last ping or command received (if the master
#    is still in the "connected" state), or the time that elapsed since the
#    disconnection with the master (if the replication link is currently down).
#    If the last interaction is too old, the slave will not try to failover
#    at all.
#
# The point "2" can be tuned by user. Specifically a slave will not perform
# the failover if, since the last interaction with the master, the time
# elapsed is greater than:
#
#   (node-timeout * slave-validity-factor) + repl-ping-slave-period
#
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
# slave will not try to failover if it was not able to talk with the master
# for longer than 310 seconds.
#
# A large slave-validity-factor may allow slaves with too old data to failover
# a master, while a too small value may prevent the cluster from being able to
# elect a slave at all.
#
# For maximum availability, it is possible to set the slave-validity-factor
# to a value of 0, which means, that slaves will always try to failover the
# master regardless of the last time they interacted with the master.
# (However they'll always try to apply a delay proportional to their
# offset rank).
#
# Zero is the only value able to guarantee that when all the partitions heal
# the cluster will always be able to continue.
#
# cluster-slave-validity-factor 10

# Cluster slaves are able to migrate to orphaned masters, that are masters
# that are left without working slaves. This improves the cluster ability
# to resist to failures as otherwise an orphaned master can't be failed over
# in case of failure if it has no working slaves.
#
# Slaves migrate to orphaned masters only if there are still at least a
# given number of other working slaves for their old master. This number
# is the "migration barrier". A migration barrier of 1 means that a slave
# will migrate only if there is at least 1 other working slave for its master
# and so forth. It usually reflects the number of slaves you want for every
# master in your cluster.
#
# Default is 1 (slaves migrate only if their masters remain with at least
# one slave). To disable migration just set it to a very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1

# By default Redis Cluster nodes stop accepting queries if they detect there
# is at least an hash slot uncovered (no available node is serving it).
# This way if the cluster is partially down (for example a range of hash slots
# are no longer covered) all the cluster becomes, eventually, unavailable.
# It automatically returns available as soon as all the slots are covered again.
#
# However sometimes you want the subset of the cluster which is working,
# to continue to accept queries for the part of the key space that is still
# covered. In order to do so, just set the cluster-require-full-coverage
# option to no.
#
# cluster-require-full-coverage yes

# In order to setup your cluster make sure to read the documentation
# available at http://redis.io web site.

################################## SLOW LOG ###################################

# The Redis Slow Log is a system to log queries that exceeded a specified
# execution time. The execution time does not include the I/O operations
# like talking with the client, sending the reply and so forth,
# but just the time needed to actually execute the command (this is the only
# stage of command execution where the thread is blocked and can not serve
# other requests in the meantime).
# 
# You can configure the slow log with two parameters: one tells Redis
# what is the execution time, in microseconds, to exceed in order for the
# command to get logged, and the other parameter is the length of the
# slow log. When a new command is logged the oldest one is removed from the
# queue of logged commands.

# The following time is expressed in microseconds, so 1000000 is equivalent
# to one second. Note that a negative number disables the slow log, while
# a value of zero forces the logging of every command.
slowlog-log-slower-than 10000

# There is no limit to this length. Just be aware that it will consume memory.
# You can reclaim memory used by the slow log with SLOWLOG RESET.
slowlog-max-len 128

################################ LATENCY MONITOR ##############################

# The Redis latency monitoring subsystem samples different operations
# at runtime in order to collect data related to possible sources of
# latency of a Redis instance.
#
# Via the LATENCY command this information is available to the user that can
# print graphs and obtain reports.
#
# The system only logs operations that were performed in a time equal or
# greater than the amount of milliseconds specified via the
# latency-monitor-threshold configuration directive. When its value is set
# to zero, the latency monitor is turned off.
#
# By default latency monitoring is disabled since it is mostly not needed
# if you don't have latency issues, and collecting data has a performance
# impact, that while very small, can be measured under big load. Latency
# monitoring can easily be enabled at runtime using the command
# "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
latency-monitor-threshold 0

############################# Event notification ##############################

# Redis can notify Pub/Sub clients about events happening in the key space.
# This feature is documented at http://redis.io/topics/notifications
#
# For instance if keyspace events notification is enabled, and a client
# performs a DEL operation on key "foo" stored in the Database 0, two
# messages will be published via Pub/Sub:
#
# PUBLISH __keyspace@0__:foo del
# PUBLISH __keyevent@0__:del foo
#
# It is possible to select the events that Redis will notify among a set
# of classes. Every class is identified by a single character:
#
#  K     Keyspace events, published with __keyspace@<db>__ prefix.
#  E     Keyevent events, published with __keyevent@<db>__ prefix.
#  g     Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
#  $     String commands
#  l     List commands
#  s     Set commands
#  h     Hash commands
#  z     Sorted set commands
#  x     Expired events (events generated every time a key expires)
#  e     Evicted events (events generated when a key is evicted for maxmemory)
#  A     Alias for g$lshzxe, so that the "AKE" string means all the events.
#
#  The "notify-keyspace-events" takes as argument a string that is composed
#  of zero or multiple characters. The empty string means that notifications
#  are disabled.
#
#  Example: to enable list and generic events, from the point of view of the
#           event name, use:
#
#  notify-keyspace-events Elg
#
#  Example 2: to get the stream of the expired keys subscribing to channel
#             name __keyevent@0__:expired use:
#
#  notify-keyspace-events Ex
#
#  By default all notifications are disabled because most users don't need
#  this feature and the feature has some overhead. Note that if you don't
#  specify at least one of K or E, no events will be delivered.
notify-keyspace-events ""

############################### ADVANCED CONFIG ###############################

# Hashes are encoded using a memory efficient data structure when they have a
# small number of entries, and the biggest entry does not exceed a given
# threshold. These thresholds can be configured using the following directives.
hash-max-ziplist-entries 512
hash-max-ziplist-value 64

# Similarly to hashes, small lists are also encoded in a special way in order
# to save a lot of space. The special representation is only used when
# you are under the following limits:
list-max-ziplist-entries 512
list-max-ziplist-value 64

# Sets have a special encoding in just one case: when a set is composed
# of just strings that happen to be integers in radix 10 in the range
# of 64 bit signed integers.
# The following configuration setting sets the limit in the size of the
# set in order to use this special memory saving encoding.
set-max-intset-entries 512

# Similarly to hashes and lists, sorted sets are also specially encoded in
# order to save a lot of space. This encoding is only used when the length and
# elements of a sorted set are below the following limits:
zset-max-ziplist-entries 128
zset-max-ziplist-value 64

# HyperLogLog sparse representation bytes limit. The limit includes the
# 16 bytes header. When an HyperLogLog using the sparse representation crosses
# this limit, it is converted into the dense representation.
#
# A value greater than 16000 is totally useless, since at that point the
# dense representation is more memory efficient.
#
# The suggested value is ~ 3000 in order to have the benefits of
# the space efficient encoding without slowing down too much PFADD,
# which is O(N) with the sparse encoding. The value can be raised to
# ~ 10000 when CPU is not a concern, but space is, and the data set is
# composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
hll-sparse-max-bytes 3000

# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
# order to help rehashing the main Redis hash table (the one mapping top-level
# keys to values). The hash table implementation Redis uses (see dict.c)
# performs a lazy rehashing: the more operation you run into a hash table
# that is rehashing, the more rehashing "steps" are performed, so if the
# server is idle the rehashing is never complete and some more memory is used
# by the hash table.
# 
# The default is to use this millisecond 10 times every second in order to
# actively rehash the main dictionaries, freeing memory when possible.
#
# If unsure:
# use "activerehashing no" if you have hard latency requirements and it is
# not a good thing in your environment that Redis can reply from time to time
# to queries with 2 milliseconds delay.
#
# use "activerehashing yes" if you don't have such hard requirements but
# want to free memory asap when possible.
activerehashing yes

# The client output buffer limits can be used to force disconnection of clients
# that are not reading data from the server fast enough for some reason (a
# common reason is that a Pub/Sub client can't consume messages as fast as the
# publisher can produce them).
#
# The limit can be set differently for the three different classes of clients:
#
# normal -> normal clients including MONITOR clients
# slave  -> slave clients
# pubsub -> clients subscribed to at least one pubsub channel or pattern
#
# The syntax of every client-output-buffer-limit directive is the following:
#
# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
#
# A client is immediately disconnected once the hard limit is reached, or if
# the soft limit is reached and remains reached for the specified number of
# seconds (continuously).
# So for instance if the hard limit is 32 megabytes and the soft limit is
# 16 megabytes / 10 seconds, the client will get disconnected immediately
# if the size of the output buffers reach 32 megabytes, but will also get
# disconnected if the client reaches 16 megabytes and continuously overcomes
# the limit for 10 seconds.
#
# By default normal clients are not limited because they don't receive data
# without asking (in a push way), but just after a request, so only
# asynchronous clients may create a scenario where data is requested faster
# than it can read.
#
# Instead there is a default limit for pubsub and slave clients, since
# subscribers and slaves receive data in a push fashion.
#
# Both the hard or the soft limit can be disabled by setting them to zero.
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60

# Redis calls an internal function to perform many background tasks, like
# closing connections of clients in timeot, purging expired keys that are
# never requested, and so forth.
#
# Not all tasks are perforemd with the same frequency, but Redis checks for
# tasks to perform according to the specified "hz" value.
#
# By default "hz" is set to 10. Raising the value will use more CPU when
# Redis is idle, but at the same time will make Redis more responsive when
# there are many keys expiring at the same time, and timeouts may be
# handled with more precision.
#
# The range is between 1 and 500, however a value over 100 is usually not
# a good idea. Most users should use the default of 10 and raise this up to
# 100 only in environments where very low latency is required.
hz 10

# When a child rewrites the AOF file, if the following option is enabled
# the file will be fsync-ed every 32 MB of data generated. This is useful
# in order to commit the file to the disk more incrementally and avoid
# big latency spikes.
aof-rewrite-incremental-fsync yes

################################## INCLUDES ###################################

# Include one or more other config files here.  This is useful if you
# have a standard template that goes to all Redis server but also need
# to customize a few per-server settings.  Include files can include
# other files, so use this wisely.
#
# include /path/to/local.conf
# include /path/to/other.conf

5.docker启动redis

docker run  -p 6379:6379 --name myRedis --privileged=true -v /app/redis/redis.conf:/etc/redis/redis.conf -v /app/redis/data:/data -d redis:6.0.8 redis-server /etc/redis/redis.conf




docker run  -p 6379:6379 --name myRedis --privileged=true
-v /app/redis/redis.conf:/etc/redis/redis.conf 
-v /app/redis/data:/data 
-d redis:6.0.8 redis-server /etc/redis/redis.conf

-p 6379:6379:把容器内的6379端口映射到宿主机6379端口

–privileged=true 开启权限

-v /data/redis/redis.conf:/etc/redis/redis.conf：把宿主机配置好的redis.conf放到容器内的这个位置中

-v /data/redis/data:/data：把redis持久化的数据在宿主机内显示，做数据备份

redis-server /etc/redis/redis.conf：这个是关键配置，让redis不是无配置启动，而是按照这个redis.conf的配置启动

–appendonly yes：redis启动后数据持久化 可选

6.查看是否启动成功

 docker ps

后续…集群搭建