使用docker-compose配置redis服务
2021/6/19 19:30:24
本文主要是介绍使用docker-compose配置redis服务,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
前言#
因为docker的跨平台,所以使用docker搭建自己的数据库非常方便
代码#
代码示例目录结构#
docker-compose.yaml#
Copyversion: '3' | |
services: | |
redis: | |
image: redis | |
container_name: docker_redis | |
volumes: | |
- ./datadir:/data | |
- ./conf/redis.conf:/usr/local/etc/redis/redis.conf | |
- ./logs:/logs | |
command: | |
# 两个写入操作 只是为了解决启动后警告 可以去掉 | |
/bin/bash -c "echo 511 > /proc/sys/net/core/somaxconn | |
&& echo never > /sys/kernel/mm/transparent_hugepage/enabled | |
&& redis-server /usr/local/etc/redis/redis.conf" | |
ports: | |
- 6379:6379 |
总结#
- 在当前目录打开终端,使用命令 docker-compose up 即可运行;
- command中的两个写入操作,只是解决运行时的警告,可以删除;
- 最好打开redis的数据持久化配置;
- data、logs分别为数据和日志目录,可参考下面的conf配置;
- redis的认证密码一般配置在配置文件的requirepass字段。如果不使用配置文件,可以使用 command: redis-server --requirepass yourpass 配置认证密码;
- 如果只是临时简单使用reids,可以不配置volumes;
- 最好在设置reids值时,附带版本号,防止版本更新,影响配置而不可用。
附录(redis.conf)#
Copy# Redis配置文件样例 | |
# Note on units: when memory size is needed, it is possible to specifiy | |
# 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. | |
# Redis默认不是以守护进程的方式运行,可以通过该配置项修改,使用yes启用守护进程 | |
# 启用守护进程后,Redis会把pid写到一个pidfile中,在/var/run/redis.pid | |
daemonize no | |
# 当Redis以守护进程方式运行时,Redis默认会把pid写入/var/run/redis.pid文件,可以通过pidfile指定 | |
pidfile /var/run/redis.pid | |
# 指定Redis监听端口,默认端口为6379 | |
# 如果指定0端口,表示Redis不监听TCP连接 | |
port 6379 | |
# 绑定的主机地址 | |
# 你可以绑定单一接口,如果没有绑定,所有接口都会监听到来的连接 | |
# 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 755 | |
# 当客户端闲置多长时间后关闭连接,如果指定为0,表示关闭该功能 | |
timeout 0 | |
# 指定日志记录级别,Redis总共支持四个级别:debug、verbose、notice、warning,默认为verbose | |
# debug (很多信息, 对开发/测试比较有用) | |
# 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 verbose | |
# 日志记录方式,默认为标准输出,如果配置为redis为守护进程方式运行,而这里又配置为标准输出,则日志将会发送给/dev/null | |
logfile /logs/redis.log | |
# To enable logging to the system logger, just set 'syslog-enabled' to yes, | |
# and optionally update the other syslog parameters to suit your needs. | |
# syslog-enabled no | |
# Specify the syslog identity. | |
# syslog-ident redis | |
# Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7. | |
# syslog-facility local0 | |
# 设置数据库的数量,默认数据库为0,可以使用select <dbid>命令在连接上指定数据库id | |
# dbid是从0到‘databases’-1的数目 | |
databases 16 | |
################################ SNAPSHOTTING ################################# | |
# 指定在多长时间内,有多少次更新操作,就将数据同步到数据文件,可以多个条件配合 | |
# 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. | |
# | |
# 满足以下条件将会同步数据: | |
# 900秒(15分钟)内有1个更改 | |
# 300秒(5分钟)内有10个更改 | |
# 60秒内有10000个更改 | |
# Note: 可以把所有“save”行注释掉,这样就取消同步操作了 | |
save 900 1 | |
save 300 10 | |
save 60 10000 | |
# 指定存储至本地数据库时是否压缩数据,默认为yes,Redis采用LZF压缩,如果为了节省CPU时间,可以关闭该选项,但会导致数据库文件变的巨大 | |
rdbcompression yes | |
# 指定本地数据库文件名,默认值为dump.rdb | |
dbfilename dump.rdb | |
# 工作目录. | |
# 指定本地数据库存放目录,文件名由上一个dbfilename配置项指定 | |
# | |
# Also the Append Only File will be created inside this directory. | |
# | |
# 注意,这里只能指定一个目录,不能指定文件名 | |
dir ./ | |
################################# REPLICATION ################################# | |
# 主从复制。使用slaveof从 Redis服务器复制一个Redis实例。注意,该配置仅限于当前slave有效 | |
# so for example it is possible to configure the slave to save the DB with a | |
# different interval, or to listen to another port, and so on. | |
# 设置当本机为slav服务时,设置master服务的ip地址及端口,在Redis启动时,它会自动从master进行数据同步 | |
# slaveof <masterip> <masterport> | |
# 当master服务设置了密码保护时,slav服务连接master的密码 | |
# 下文的“requirepass”配置项可以指定密码 | |
# masterauth <master-password> | |
# When a slave lost the 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 data 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 | |
# 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 a timeout for both Bulk transfer I/O timeout and | |
# master data or ping response timeout. The default value is 60 seconds. | |
# | |
# 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 | |
################################## SECURITY ################################### | |
# 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. | |
# 设置Redis连接密码,如果配置了连接密码,客户端在连接Redis时需要通过auth <password>命令提供密码,默认关闭 | |
requirepass yourpass | |
# Command renaming. | |
# | |
# It is possilbe to change the name of dangerous commands in a shared | |
# environment. For instance the CONFIG command may be renamed into something | |
# of hard to guess so that it will be still available for internal-use | |
# tools but not available for general clients. | |
# | |
# Example: | |
# | |
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52 | |
# | |
# It is also possilbe to completely kill a command renaming it into | |
# an empty string: | |
# | |
# rename-command CONFIG "" | |
################################### LIMITS #################################### | |
# 设置同一时间最大客户端连接数,默认无限制,Redis可以同时打开的客户端连接数为Redis进程可以打开的最大文件描述符数, | |
# 如果设置maxclients 0,表示不作限制。当客户端连接数到达限制时,Redis会关闭新的连接并向客户端返回max Number of clients reached错误信息 | |
# maxclients 128 | |
# Don't use more memory than the specified amount of bytes. | |
# When the memory limit is reached Redis will try to remove keys with an | |
# EXPIRE set. It will try to start freeing keys that are going to expire | |
# in little time and preserve keys with a longer time to live. | |
# Redis will also try to remove objects from free lists if possible. | |
# | |
# If all this fails, Redis will start to reply with errors to commands | |
# that will use more memory, like SET, LPUSH, and so on, and will continue | |
# to reply to most read-only commands like GET. | |
# | |
# WARNING: maxmemory can be a good idea mainly if you want to use Redis as a | |
# 'state' server or cache, not as a real DB. When Redis is used as a real | |
# database the memory usage will grow over the weeks, it will be obvious if | |
# it is going to use too much memory in the long run, and you'll have the time | |
# to upgrade. With maxmemory after the limit is reached you'll start to get | |
# errors for write operations, and this may even lead to DB inconsistency. | |
# 指定Redis最大内存限制,Redis在启动时会把数据加载到内存中,达到最大内存后,Redis会先尝试清除已到期或即将到期的Key, | |
# 当此方法处理后,仍然到达最大内存设置,将无法再进行写入操作,但仍然可以进行读取操作。 | |
# Redis新的vm机制,会把Key存放内存,Value会存放在swap区 | |
# maxmemory <bytes> | |
# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory | |
# is reached? You can select among five behavior: | |
# | |
# volatile-lru -> remove the key with an expire set using an LRU algorithm | |
# allkeys-lru -> remove any key accordingly 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 all the kind of policies, Redis will return an error on write | |
# operations, when there are not suitable keys for eviction. | |
# | |
# At the date of writing this 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 volatile-lru | |
# 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 ############################### | |
# | |
# Note that you can have both the async dumps and the append only file if you | |
# like (you have to comment the "save" statements above to disable the dumps). | |
# Still if append only mode is enabled Redis will load the data from the | |
# log file at startup ignoring the dump.rdb file. | |
# 指定是否在每次更新操作后进行日志记录,Redis在默认情况下是异步的把数据写入磁盘,如果不开启,可能会在断电时导致一段时间内的数据丢失。 | |
# 因为redis本身同步数据文件是按上面save条件来同步的,所以有的数据会在一段时间内只存在于内存中。默认为no | |
# IMPORTANT: Check the BGREWRITEAOF to check how to rewrite the append | |
# log file in background when it gets too big. | |
appendonly yes | |
# 指定更新日志文件名,默认为appendonly.aof | |
# appendfilename appendonly.aof | |
# The fsync() call tells the Operating System to actually write data on disk | |
# instead to wait 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. | |
# 指定更新日志条件,共有3个可选值: | |
# no:表示等操作系统进行数据缓存同步到磁盘(快) | |
# always:表示每次更新操作后手动调用fsync()将数据写到磁盘(慢,安全) | |
# everysec:表示每秒同步一次(折衷,默认值) | |
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", that in pratical terms means that it is | |
# possible to lost 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 will growth by the specified percentage. | |
# | |
# This is how it works: Redis remembers the size of the AOF file after the | |
# latest rewrite (or if no rewrite 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 precentage of zero in order to disable the automatic AOF | |
# rewrite feature. | |
auto-aof-rewrite-percentage 100 | |
auto-aof-rewrite-min-size 64mb | |
################################## 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 1024 | |
################################ VIRTUAL MEMORY ############################### | |
### WARNING! Virtual Memory is deprecated in Redis 2.4 | |
### The use of Virtual Memory is strongly discouraged. | |
### WARNING! Virtual Memory is deprecated in Redis 2.4 | |
### The use of Virtual Memory is strongly discouraged. | |
# Virtual Memory allows Redis to work with datasets bigger than the actual | |
# amount of RAM needed to hold the whole dataset in memory. | |
# In order to do so very used keys are taken in memory while the other keys | |
# are swapped into a swap file, similarly to what operating systems do | |
# with memory pages. | |
# 指定是否启用虚拟内存机制,默认值为no, | |
# VM机制将数据分页存放,由Redis将访问量较少的页即冷数据swap到磁盘上,访问多的页面由磁盘自动换出到内存中 | |
# 把vm-enabled设置为yes,根据需要设置好接下来的三个VM参数,就可以启动VM了 | |
# vm-enabled no | |
# vm-enabled yes | |
# This is the path of the Redis swap file. As you can guess, swap files | |
# can't be shared by different Redis instances, so make sure to use a swap | |
# file for every redis process you are running. Redis will complain if the | |
# swap file is already in use. | |
# | |
# Redis交换文件最好的存储是SSD(固态硬盘) | |
# 虚拟内存文件路径,默认值为/tmp/redis.swap,不可多个Redis实例共享 | |
# *** WARNING *** if you are using a shared hosting the default of putting | |
# the swap file under /tmp is not secure. Create a dir with access granted | |
# only to Redis user and configure Redis to create the swap file there. | |
# vm-swap-file /tmp/redis.swap | |
# With vm-max-memory 0 the system will swap everything it can. Not a good | |
# default, just specify the max amount of RAM you can in bytes, but it's | |
# better to leave some margin. For instance specify an amount of RAM | |
# that's more or less between 60 and 80% of your free RAM. | |
# 将所有大于vm-max-memory的数据存入虚拟内存,无论vm-max-memory设置多少,所有索引数据都是内存存储的(Redis的索引数据就是keys) | |
# 也就是说当vm-max-memory设置为0的时候,其实是所有value都存在于磁盘。默认值为0 | |
# vm-max-memory 0 | |
# Redis swap文件分成了很多的page,一个对象可以保存在多个page上面,但一个page上不能被多个对象共享,vm-page-size是要根据存储的数据大小来设定的。 | |
# 建议如果存储很多小对象,page大小最后设置为32或64bytes;如果存储很大的对象,则可以使用更大的page,如果不确定,就使用默认值 | |
# vm-page-size 32 | |
# 设置swap文件中的page数量由于页表(一种表示页面空闲或使用的bitmap)是存放在内存中的,在磁盘上每8个pages将消耗1byte的内存 | |
# swap空间总容量为 vm-page-size * vm-pages | |
# | |
# With the default of 32-bytes memory pages and 134217728 pages Redis will | |
# use a 4 GB swap file, that will use 16 MB of RAM for the page table. | |
# | |
# It's better to use the smallest acceptable value for your application, | |
# but the default is large in order to work in most conditions. | |
# vm-pages 134217728 | |
# Max number of VM I/O threads running at the same time. | |
# This threads are used to read/write data from/to swap file, since they | |
# also encode and decode objects from disk to memory or the reverse, a bigger | |
# number of threads can help with big objects even if they can't help with | |
# I/O itself as the physical device may not be able to couple with many | |
# reads/writes operations at the same time. | |
# 设置访问swap文件的I/O线程数,最后不要超过机器的核数,如果设置为0,那么所有对swap文件的操作都是串行的,可能会造成比较长时间的延迟,默认值为4 | |
# vm-max-threads 4 | |
############################### ADVANCED CONFIG ############################### | |
# Hashes are encoded in a special way (much more memory efficient) when they | |
# have at max a given numer of elements, and the biggest element does not | |
# exceed a given threshold. You can configure this limits with the following | |
# configuration directives. | |
# 指定在超过一定的数量或者最大的元素超过某一临界值时,采用一种特殊的哈希算法 | |
# hash-max-zipmap-entries 512 | |
# hash-max-zipmap-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 happens 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 | |
# 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 an hash table | |
# that is rhashing, 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 | |
# active rehashing 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 form time to time | |
# to queries with 2 milliseconds delay. | |
# 指定是否激活重置哈希,默认为开启 | |
activerehashing yes | |
################################## INCLUDES ################################### | |
# 指定包含其他的配置文件,可以在同一主机上多个Redis实例之间使用同一份配置文件,而同时各实例又拥有自己的特定配置文件 | |
# include /path/to/local.conf | |
# include /path/to/other.conf |
原文地址:使用docker-compose配置redis服务 - 落叶&不随风 - 博客园 (cnblogs.com)
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