find / -name redis.confhtml
# 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. 配置大小單位,開頭定義了一些基本的度量單位,不支持bit 對大小寫不敏感
# 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 ##################################### # 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 設置tcp的backlog,backlog實際上是一個鏈接隊列,backlog隊列總和=未完成三次握手隊列+已完成三次握手隊列. 在高併發環境下你須要一個高的backlog值來避免慢客戶端鏈接問題. 注意linux內核會將這個值減少到/proc/sys/net/core/somaxconn的值,因此須要確認增大somaxconn和tcp_max_syn_backlog兩個值來達到想要的效果 # Close the connection after a client is idle for N seconds (0 to disable) timeout 0 超時時間設置,0爲關閉 # 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 單位爲秒,若是設置爲0,則不會進行keepalive檢測,建議設置成60
# 是否以守護進行 daemonize no # 進程管道id文件,若是沒有指定,則在這個路徑下 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) # 日誌級別 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) # 日誌名字 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. # 是否把日誌輸出到syslog中 # syslog-enabled no # Specify the syslog identity. # 指定syslog裏的日誌表示 # 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設備,值能夠是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 # 默認有16個數據庫 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: # flushall和shutdown會當即出發save命令,進行備份 # 禁用RDB持久化策略,只要不設置任何save指令(在redis的命令窗口中使用save命令)或者使用下面的save ""也能夠(save傳入一個空字符串參數也能夠) # save "" # 下面三個條件符合其一就觸發備份 # 900秒內有一個key改變過就備份 save 900 1 # 300秒內有10個key改變過就備份 save 300 10 # 60秒內有10000個key改變就觸發備份 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,表示不在意數據不一致或者其餘的手段發現和控制 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. # 對於存儲到磁盤中的快照,能夠設置是否進行壓縮存儲. # 若是是的話,redis會採用LZF算法進行壓縮. # 若是不想消耗CPU進行要鎖,能夠設置爲關閉此功能 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. # 在存儲快照後,還可讓redis使用CRC64算法來進行數據檢驗 # 這樣作會增長10%的性能消耗, # 若是想得到最大的性能提高,則能夠關閉此功能 rdbchecksum yes # The filename where to dump the DB # 保存時的文件名稱,斷電重啓時讀取的文件名稱 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. # 工做目錄 dir ./
# 獲取登陸密碼 config get requirepass 127.0.0.1:8686> config get requirepass 1) "requirepass" 2) "51310400" # 查詢啓動時所在的目錄 config get dir 127.0.0.1:8686> config get dir 1) "dir" 2) "/alidata/redis-5.0.3/db" # 設置redis密碼 config set requirepass 123456 # 登陸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
# 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'. # 最大鏈接數10000 # maxclients 10000
# 最大內存 # maxmemory <bytes> ## 達到最大內存時清除策略 # 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,只對設置了過時時間的鍵.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. ## 在過時集合中移除隨機的key,只對設置了過時時間的鍵 # volatile-random -> Remove a random key among the ones with an expire set. ## 移除隨機的key # allkeys-random -> Remove a random key, any key. ## 移除那些ttl值最小的key,即那些最近要過時的key # volatile-ttl -> Remove the key with the nearest expire time (minor TTL) ## 不進行移除.針對寫操做,只是返回錯誤信息 # 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: # 默認配置是不清除,可是配置沒有開啓 # 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. # 設置樣本你數量,LRU算法和最小TTL算法都並不是是精確的算法,而是估算值,醉意能夠設置樣本的大小.redis默認會檢查這麼多個key並選擇其中LRU的那個 # maxmemory-samples 5
############################## 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. # 默認是關閉狀態 appendonly no # The name of the append only file (default: "appendonly.aof") # 備份文件的名字 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 # 備份時機 # always:同步持久化,每次發生數據變動會被當即就到磁盤,性能較差但數據記錄完整性比較好 # ererysec:出廠默認配置,異步操做,每秒記錄,若是一秒內宕機,有數據丟失 # 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. # 重寫時是否能夠運用appendfsync,用默認no便可,保證數據安全性 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. # 設置重寫的基準值,此時是上次重寫體積的100%,也就是體積翻一倍 auto-aof-rewrite-percentage 100 # 設置重寫的基準值,此時是重寫時日誌要大於64MB auto-aof-rewrite-min-size 64mb