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  • redis配置文件详解

    位置

    find / -name redis.conf

    units单位

    # Redis configuration file example.
    #
    # Note that in order to read the configuration file, Redis must be
    # started with the file path as first argument:
    #
    # ./redis-server /path/to/redis.conf
    
    # 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.
    
    
    配置大小单位,开头定义了一些基本的度量单位,不支持bit
    对大小写不敏感
    

    includes包含

    # 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 /path/to/other.conf
    
    

    network

    ################################## NETWORK #####################################
    
    # 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
    
    设置tcp的backlog,backlog其实是一个连接队列,backlog队列总和=未完成三次握手队列+已完成三次握手队列.
    在高并发环境下你需要一个高的backlog值来避免慢客户端连接问题.
    注意linux内核会将这个值减小到/proc/sys/net/core/somaxconn的值,所以需要确认增大somaxconn和tcp_max_syn_backlog两个值来达到想要的效果
    
    
    
    # Close the connection after a client is idle for N seconds (0 to disable)
    timeout 0
    
    超时时间设置,0为关闭
    
    
    
    
    # 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 300 seconds, which is the new
    # Redis default starting with Redis 3.2.1.
    tcp-keepalive 300
    
    单位为秒,如果设置为0,则不会进行keepalive检测,建议设置成60
    
    

    general通用

    # 是否以守护进行
    daemonize no
    # 进程管道id文件,如果没有指定,则在这个路径下
    pidfile /var/run/redis_6379.pid
    # 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)
    # 日志级别
    loglevel notice
    # 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)
    # 日志名字
    loglevel notice
    # To enable logging to the system logger, just set 'syslog-enabled' to yes,
    # and optionally update the other syslog parameters to suit your needs.
    # 是否把日志输出到syslog中
    # syslog-enabled no
    # Specify the syslog identity.
    # 指定syslog里的日志表示
    # syslog-ident redis
    
    # Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
    # syslog-facility local0
    # Specify the syslog identity.
    # syslog-ident redis
    
    # Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
    # 指定syslog设备,值可以是user或者local0-local7
    # syslog-facility local0
    # 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
    # 默认有16个数据库
    databases 16
    
    

    snapshotting快照

    ################################ 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:
    # flushall和shutdown会立即出发save命令,进行备份
    # 禁用RDB持久化策略,只要不设置任何save指令(在redis的命令窗口中使用save命令)或者使用下面的save ""也可以(save传入一个空字符串参数也可以)
    #   save ""
    # 下面三个条件符合其一就触发备份
    # 900秒内有一个key改变过就备份
    save 900 1
    # 300秒内有10个key改变过就备份
    save 300 10
    # 60秒内有10000个key改变就触发备份
    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.
    # 如何配置成no,表示不在乎数据不一致或者其他的手段发现和控制
    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.
    # 对于存储到磁盘中的快照,可以设置是否进行压缩存储.
    # 如果是的话,redis会采用LZF算法进行压缩.
    # 如果不想消耗CPU进行要锁,可以设置为关闭此功能
    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.
    # 在存储快照后,还可以让redis使用CRC64算法来进行数据检验
    # 这样做会增加10%的性能消耗,
    # 如果想获得最大的性能提升,则可以关闭此功能
    rdbchecksum yes
    
    
    # The filename where to dump the DB
    # 保存时的文件名称,断电重启时读取的文件名称
    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.
    # 工作目录
    dir ./
    
    

    replication复制

    security安全

    # 获取登录密码
    config get requirepass
    127.0.0.1:8686> config get requirepass
    1) "requirepass"
    2) "51310400"
    # 查询启动时所在的目录
    config get dir
    127.0.0.1:8686> config get dir
    1) "dir"
    2) "/alidata/redis-5.0.3/db"
    
    # 设置redis密码
    config set requirepass 123456
    
    # 登录redis
    [root@izm5e2q95pbpe1hh0kkwoiz /]# redis-cli -p 8686
    127.0.0.1:8686> ping
    (error) NOAUTH Authentication required.
    127.0.0.1:8686> auth 51310400
    OK
    127.0.0.1:8686> ping
    PONG
    
    

    CLIENTS

    # 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'.
    # 最大连接数10000
    # maxclients 10000
    
    

    limits限制

    # 最大内存
    # maxmemory <bytes>
    
    ## 达到最大内存时清除策略
    # MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
    # is reached. You can select among five behaviors:
    #
    ## 使用LUR算法移除key,只对设置了过期时间的键.LRU最近最少使用算法
    # volatile-lru -> Evict using approximated LRU among the keys with an expire set.
    ## 使用LRU算法移除key
    # allkeys-lru -> Evict any key using approximated LRU.
    # volatile-lfu -> Evict using approximated LFU among the keys with an expire set.
    # allkeys-lfu -> Evict any key using approximated LFU.
    ## 在过期集合中移除随机的key,只对设置了过期时间的键
    # volatile-random -> Remove a random key among the ones with an expire set.
    ## 移除随机的key
    # allkeys-random -> Remove a random key, any key.
    ## 移除那些ttl值最小的key,即那些最近要过期的key
    # volatile-ttl -> Remove the key with the nearest expire time (minor TTL)
    ## 不进行移除.针对写操作,只是返回错误信息   
    # noeviction -> Don't evict anything, just return an error on write operations.
    #
    # LRU means Least Recently Used
    # LFU means Least Frequently Used
    #
    # Both LRU, LFU and volatile-ttl are implemented using approximated
    # randomized algorithms.
    #
    # 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:
    # 默认配置是不清除,但是配置没有开启
    # maxmemory-policy noeviction
    # LRU, LFU and minimal TTL algorithms are not precise algorithms but approximated
    # algorithms (in order to save memory), so you can tune it for speed or
    # accuracy. For default Redis will check five keys and pick the one that was
    # used less recently, you can change the sample size using the following
    # configuration directive.
    #
    # The default of 5 produces good enough results. 10 Approximates very closely
    # true LRU but costs more CPU. 3 is faster but not very accurate.
    # 设置样本你数量,LRU算法和最小TTL算法都并非是精确的算法,而是估算值,醉意可以设置样本的大小.redis默认会检查这么多个key并选择其中LRU的那个
    # maxmemory-samples 5
    
    

    append only mode追加

    ############################## 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.
    # 默认是关闭状态
    appendonly no
    # The name of the append only file (default: "appendonly.aof")
    # 备份文件的名字
    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
    # 备份时机
    # always:同步持久化,每次发生数据变更会被立即就到磁盘,性能较差但数据记录完整性比较好
    # ererysec:出厂默认配置,异步操作,每秒记录,如果一秒内宕机,有数据丢失
    # no:不追加
    appendfsync everysec
    
    # 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.
    # 重写时是否可以运用appendfsync,用默认no即可,保证数据安全性
    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.
    # 设置重写的基准值,此时是上次重写体积的100%,也就是体积翻一倍
    auto-aof-rewrite-percentage 100
    # 设置重写的基准值,此时是重写时日志要大于64MB
    auto-aof-rewrite-min-size 64mb
    
    

    常见配置redis.conf介绍






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  • 原文地址:https://www.cnblogs.com/eternityz/p/12273197.html
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