前言：此文主要针对需要在x86内网服务器搭建系统的情况
一、docker离线安装
1、下载docker镜像
https://download.docker.com/linux/static/stable/x86_64/
版本：docker-23.0.6.tgz
2、将docker-23.0.6.tgz 文件上传到服务器上面，这里放在了/home下
3、创建 docker.service文件
# 进入/etc/systemd/system ，创建 docker.service文件cd /etc/systemd/system
touch docker.service
将下方内容拷入 docker.service 文件中， :wq 保存
[Unit]Description=Docker Application Container Engine
Documentation=https://docs.docker.com
After=network-online.target firewalld.service
Wants=network-online.target
[Service]Type=notify
# the default is not to use systemd for cgroups because the delegate issues still# exists and systemd currently does not support the cgroup feature set required# for containers run by dockerExecStart=/usr/bin/dockerd
ExecReload=/bin/kill -s HUP $MAINPID# Having non-zero Limit*s causes performance problems due to accounting overhead# in the kernel. We recommend using cgroups to do container-local accounting.LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity
# Uncomment TasksMax if your systemd version supports it.# Only systemd 226 and above support this version.#TasksMax=infinityTimeoutStartSec=0# set delegate yes so that systemd does not reset the cgroups of docker containersDelegate=yes
# kill only the docker process, not all processes in the cgroupKillMode=process
# restart the docker process if it exits prematurelyRestart=on-failure
StartLimitBurst=3StartLimitInterval=60s
[Install]WantedBy=multi-user.target
4、安装步骤
# 进入docker文件所在目录cd /home
# 解压：tar-zxvf docker-23.0.6.tgz
# 解压完成后， 多了一个docker文件# 将文件拷贝到/usr/bin/下面cp docker/* /usr/bin/
# 赋予 docker.service 可执行权限chmod +x /etc/systemd/system/docker.service
# 启动docker
systemctl daemon-reload
systemctl start docker
systemctl enable docker.service
# 查看docker 版本docker-v
二、docker-compose离线安装
1、下载地址
https://github.com/docker/compose/releases
版本：docker-compose-linux-x86_64
2、将docker-compose镜像同样放在/home下
3、执行操作
mv docker-compose-linux-x86_64 /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
#查看版本号docker-compose-vr
参考链接：https://blog.csdn.net/Chat_FJ/article/details/136738261
三、把jar包制作成docker镜像启动
1、离线jdk镜像安装
（1）在能连接互联网的x86系统中使用docker拉取一个jdk镜像
#查询可用的jdk版本，这里选择的是dockette/jdk8docker search jdk
#拉取镜像docker pull dockette/jdk8
#本地导出保存镜像docker save -o /home/jdk8.tar dockette/jdk8:latest
（2）把导出的包拷贝到离线的服务器上，这里同样是/home下
#执行安装命令docker load -i jdk8.tar
#查看已安装的镜像docker images
2、创建jar的docker镜像
（1）创建一个文件夹作为自定义docker目录
cd /home
mkdir mydocker-jar
（2）将jar包拷贝到此文件夹中，并创建Dockerfile文件
#直接使用vi创建vi Dockerfile
输入以下内容
#表示基于dockette/jdk8镜像构建
FROM dockette/jdk8
#表示指定容器内的工作目录为/test
WORKDIR /test
#指定日志输出
ENV LOG_PATH /var/log/myapp.log
#拷贝jar到容器工作目录/test
COPY base-app-platform.jar /test/base-app-platform.jar
#执行java启动jar的指令
CMD ["java","-jar","base-app-platform.jar","-Dfile.encoding=utf-8","--logging.file=${LOG_PATH}"]
（3）构建镜像并启动容器
docker build -t app-docker .
#执行启动命令#--restart=always：开机重启#-v /home/mydocker-jar/logs:/var/log：把容器中的日志复制到宿主机方便查看#-p 9001:9001：容器中jar的端口映射到宿主机docker run -it--restart=always -v /home/mydocker-jar/logs:/var/log -p9001:9001 --name appdocker -d app-docker
STATUS是up表示启动成功，随后可访问ip:port测试接口
四、mysql离线安装
1、在能连接互联网的x86系统中使用docker拉取一个mysql镜像
#拉取镜像docker pull mysql:8.2.0
#本地导出保存镜像docker save -o /home/xht/mysql-8.2.0.tar mysql:8.2.0
2、把导出的包拷贝到离线的服务器上，这里同样是/home下
#执行安装命令docker load -i mysql-8.2.0.tar
#查看已安装的镜像docker images
3、创建宿主机挂载的目录
mkdir-p /home/mysql8/data /home/mysql8/logs /home/mysql8/conf
cd /home/mysql8/conf
touch my.cnf
vi my.cnf
配置文件my.cnf输入以下内容
[mysqld]
pid-file = /var/run/mysqld/mysqld.pid
socket = /var/run/mysqld/mysqld.sock
datadir = /var/lib/mysql
#log-error = /var/log/mysql/error.log# Disabling symbolic-links is recommended to prevent assorted security risks
symbolic-links=0
max_connections =2000
max_user_connections =1900
max_connect_errors =100000
max_allowed_packet = 50M
lower_case_table_names=1[mysqld]
skip-name-resolve
4、启动mysql容器
docker run -p3306:3306 --privileged--restart=always --name mysql8 -v /home/mysql8/conf/my.cnf:/etc/mysql/my.cnf -v /home/mysql8/logs:/logs -v /home/mysql8/mysql:/var/lib/mysql -eMYSQL_ROOT_PASSWORD=admin123 -d mysql:8.2.0
随后可使用navicat进行连接测试（注意：这里安装的是mysql8，如果使用较低版本的navicat连接会提示报错，可以通过修改mysql8的加密规则为mysql_native_password或者使用较新版本的navicat进行连接测试）
5、主从复制
（1）修改主库服务器的配置my.cnf，随后重启数据库
[mysqld]
pid-file = /var/run/mysqld/mysqld.pid
socket = /var/run/mysqld/mysqld.sock
datadir = /var/lib/mysql
#log-error = /var/log/mysql/error.log# Disabling symbolic-links is recommended to prevent assorted security risks
symbolic-links=0# 启用二进制日志，日志的存放地址
log-bin= mysql-bin
# 日志最长保存七天，自动删除，防止服务器爆满# expire_logs_days = 7 # mysql8中已不可用此参数，改为binlog_expire_logs_secondsbinlog_expire_logs_seconds=604800# 设置服务器ID，主从服务器唯一，不可使用相同id
server-id =3
max_connections =2000
max_user_connections =1900
max_connect_errors =100000
max_allowed_packet = 50M
lower_case_table_names=1[mysqld]
skip-name-resolve
（2）连接进入主库，配置主从复制专用的用户
# 查看服务器id
show variables like 'server_id';#查看用户
SELECT user FROM mysql.user;#添加主从复制用户，并授权可外部服务器连接
CREATE USER'myslave'@'%' IDENTIFIED WITH 'mysql_native_password' BY '密码';
GRANT REPLICATION SLAVE ON *.* TO 'myslave'@'%';# 查看权限
SHOW GRANTS FOR 'myslave'@'%';#刷新权限
FLUSH PRIVILEGES;#显示master服务器的状态信息,包括当前的日志文件和位置
SHOW MASTER STATUS;
（3）按照上文安装mysql的步骤，在从服务中安装mysql，修改配置文件my.cnf
[mysqld]
pid-file = /var/run/mysqld/mysqld.pid
socket = /var/run/mysqld/mysqld.sock
datadir = /var/lib/mysql
#log-error = /var/log/mysql/error.log# Disabling symbolic-links is recommended to prevent assorted security risks
symbolic-links=0# 启用二进制日志，日志的存放地址
log-bin= mysql-bin
# 日志最长保存七天，自动删除，防止服务器爆满# expire_logs_days = 7 # mysql8中已不可用此参数，改为binlog_expire_logs_secondsbinlog_expire_logs_seconds=604800# 设置服务器ID，主从服务器唯一，不可使用相同id
server-id =5
max_connections =2000
max_user_connections =1900
max_connect_errors =100000
max_allowed_packet = 50M
lower_case_table_names=1[mysqld]
skip-name-resolve
（4）连接进入从库，配置主从复制
show variables like 'server_id';
change master to
master_host='主库ip',
master_port=主库端口,
master_user='myslave',
master_password='密码',
# 根据在主库中查询出的信息填写，SHOW MASTER STATUS# File对应master_log_file，Position对应master_log_posmaster_log_file='mysql-bin.000002',
master_log_pos=4201,
master_connect_retry=30;#开启主从复制
start slave;#查看主从复制状态，Slave_IO_Running、Slave_SQL_Running这两个字段的值都为Yes即可
show slave status;#停止主从复制
stop slave;
注意：在主服务器重启之后可能会导致日志信息改变，Slave_SQL_Running变为No， 此时需停止主从复制之后修改这两个参数，重新执行change master to…，再开启主从复制
五、nginxwebui离线安装
1、在能连接互联网的x86系统中使用docker拉取一个镜像
#拉取镜像docker pull cym1102/nginxwebui:3.7.3
#本地导出保存镜像docker save -o /home/xht/nginxwebui-3.7.3.tar nginxwebui:3.7.3
2、把导出的包拷贝到离线的服务器上，这里同样是/home下
#执行安装命令docker load -i nginxwebui-3.7.3.tar
#查看已安装的镜像docker images
3、执行命令
docker run -itd--restart=always --name=nginxWebUI -v /home/nginxWebUI:/home/nginxWebUI -eBOOT_OPTIONS="--server.port=8081"--privileged=true --net=host cym1102/nginxwebui:3.7.3 /bin/bash
注意：这里启动成功之后，访问ip:8081可能会访问不了界面，可关闭防火墙或者配置防火墙开放8081端口进行访问。
六、redis离线安装
1、在能连接互联网的x86系统中使用docker拉取一个镜像
#拉取镜像docker pull redis:6.2.5
#本地导出保存镜像docker save -o /home/xht/redis-6.2.5.tar redis:6.2.5
2、把导出的包拷贝到离线的服务器上，这里同样是/home下
#执行安装命令docker load -i redis-6.2.5.tar
#查看已安装的镜像docker images
3、创建本地挂载目录
cd /home
mkdir redis
mkdir redis/data
cd redis
touch redis.conf
# 修改配置文件，可参考下述vi redis.conf
# 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)timeout0# 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 9001
save 30010
save 6010000# 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 000
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
4、启动容器
docker run --restart=always -p6379:6379 --name myredis -v /home/redis/redis.conf:/etc/redis/redis.conf -v /home/redis/data:/data -d redis:6.2.5 redis-server /etc/redis/redis.conf
本文转载自: https://blog.csdn.net/var200/article/details/140611527
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版权归原作者 Mr.var 所有， 如有侵权，请联系我们删除。