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redis配置詳細解析

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# redis 配置文件示例
 
# 當你需要為某個配置項指定內存大小的時候,必須要帶上單位,
# 通常的格式就是 1k 5gb 4m 等:
#
# 1k  => 1000 bytes
# 1kb => 1024 bytes
# 1m  => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g  => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# 單位是不區分大小寫的,你寫 1K 5GB 4M 也行
 
################################## INCLUDES ###################################
 
# 假如說你有一個可用於所有的 redis server 的標準配置模板,
# 但針對某些 server 又需要一些個性化的設置,
# 你可以使用 include 來包含一些其他的配置文件,這對你來說是非常有用的。
#
# 但是要註意,include 是不能被 config rewrite 命令改寫的
# 由於 redis 總是以最後的加工線作為一個配置指令值,所以你最好是把 include 放在這個文件的最前面,
# 以避免在運行時覆蓋配置的改變,相反,你就把它放在後面。
#
# include /path/to/local.conf
# include /path/to/other.conf
 
################################ 常用 #####################################
 
# 默認情況下 redis 不是作為守護進程運行的,如果你想讓它在後臺運行,你就把它改成 yes。
# 當redis作為守護進程運行的時候,它會寫一個 pid 到 /var/run/redis.pid 文件裏面。
daemonize no
 
# 當redis作為守護進程運行的時候,它會把 pid 默認寫到 /var/run/redis.pid 文件裏面,
# 但是你可以在這裏自己制定它的文件位置。
pidfile /var/run/redis.pid
 
# 監聽端口號,默認為 6379,如果你設為 0 ,redis 將不在 socket 上監聽任何客戶端連接。
port 6379
 
# TCP 監聽的最大容納數量
#
# 在高並發的環境下,你需要把這個值調高以避免客戶端連接緩慢的問題。
# Linux 內核會一聲不響的把這個值縮小成 /proc/sys/net/core/somaxconn 對應的值,
# 所以你要修改這兩個值才能達到你的預期。
tcp-backlog 511
 
# 默認情況下,redis 在 server 上所有有效的網絡接口上監聽客戶端連接。
# 你如果只想讓它在一個網絡接口上監聽,那你就綁定一個IP或者多個IP。
#
# 示例,多個IP用空格隔開:
#
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1
 
# 指定 unix socket 的路徑。
#
# unixsocket /tmp/redis.sock
# unixsocketperm 755
 
# 指定在一個 client 空閑多少秒之後關閉連接(0 就是不管它)
timeout 0
 
# tcp 心跳包。
#
# 如果設置為非零,則在與客戶端缺乏通訊的時候使用 SO_KEEPALIVE 發送 tcp acks 給客戶端。
# 這個之所有有用,主要由兩個原因:
#
# 1) 防止死的 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.
# 推薦一個合理的值就是60秒
tcp-keepalive 0
 
# 定義日誌級別。
# 可以是下面的這些值:
# debug (適用於開發或測試階段)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (適用於生產環境)
# warning (僅僅一些重要的消息被記錄)
loglevel notice
 
# 指定日誌文件的位置
logfile ""
 
# 要想把日誌記錄到系統日誌,就把它改成 yes,
# 也可以可選擇性的更新其他的syslog 參數以達到你的要求
# syslog-enabled no
 
# 設置 syslog 的 identity。
# syslog-ident redis
 
# 設置 syslog 的 facility,必須是 USER 或者是 LOCAL0-LOCAL7 之間的值。
# syslog-facility local0
 
# 設置數據庫的數目。
# 默認數據庫是 DB 0,你可以在每個連接上使用 select <dbid> 命令選擇一個不同的數據庫,
# 但是 dbid 必須是一個介於 0 到 databasees - 1 之間的值
databases 16
 
################################ 快照 ################################
#
# 存 DB 到磁盤:
#
#   格式:save <間隔時間(秒)> <寫入次數>
#
#   根據給定的時間間隔和寫入次數將數據保存到磁盤
#
#   下面的例子的意思是:
#   900 秒內如果至少有 1 個 key 的值變化,則保存
#   300 秒內如果至少有 10 個 key 的值變化,則保存
#   60 秒內如果至少有 10000 個 key 的值變化,則保存
#  
#   註意:你可以註釋掉所有的 save 行來停用保存功能。
#   也可以直接一個空字符串來實現停用:
#   save ""
 
save 900 1
save 300 10
save 60 10000
 
# 默認情況下,如果 redis 最後一次的後臺保存失敗,redis 將停止接受寫操作,
# 這樣以一種強硬的方式讓用戶知道數據不能正確的持久化到磁盤,
# 否則就會沒人註意到災難的發生。
#
# 如果後臺保存進程重新啟動工作了,redis 也將自動的允許寫操作。
#
# 然而你要是安裝了靠譜的監控,你可能不希望 redis 這樣做,那你就改成 no 好了。
stop-writes-on-bgsave-error yes
 
# 是否在 dump .rdb 數據庫的時候使用 LZF 壓縮字符串
# 默認都設為 yes
# 如果你希望保存子進程節省點 cpu ,你就設置它為 no ,
# 不過這個數據集可能就會比較大
rdbcompression yes
 
# 是否校驗rdb文件
rdbchecksum yes
 
# 設置 dump 的文件位置
dbfilename dump.rdb
 
# 工作目錄
# 例如上面的 dbfilename 只指定了文件名,
# 但是它會寫入到這個目錄下。這個配置項一定是個目錄,而不能是文件名。
dir ./
 
################################# 主從復制 #################################
 
# 主從復制。使用 slaveof 來讓一個 redis 實例成為另一個reids 實例的副本。
# 註意這個只需要在 slave 上配置。
#
# slaveof <masterip> <masterport>
 
# 如果 master 需要密碼認證,就在這裏設置
# masterauth <master-password>
 
# 當一個 slave 與 master 失去聯系,或者復制正在進行的時候,
# slave 可能會有兩種表現:
#
# 1) 如果為 yes ,slave 仍然會應答客戶端請求,但返回的數據可能是過時,
#    或者數據可能是空的在第一次同步的時候
#
# 2) 如果為 no ,在你執行除了 info he salveof 之外的其他命令時,
#    slave 都將返回一個 "SYNC with master in progress" 的錯誤,
#
slave-serve-stale-data yes
 
# 你可以配置一個 slave 實體是否接受寫入操作。
# 通過寫入操作來存儲一些短暫的數據對於一個 slave 實例來說可能是有用的,
# 因為相對從 master 重新同步數而言,據數據寫入到 slave 會更容易被刪除。
# 但是如果客戶端因為一個錯誤的配置寫入,也可能會導致一些問題。
#
# 從 redis 2.6 版起,默認 slaves 都是只讀的。
#
# 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.
# 註意:只讀的 slaves 沒有被設計成在 internet 上暴露給不受信任的客戶端。
# 它僅僅是一個針對誤用實例的一個保護層。
slave-read-only yes
 
# Slaves 在一個預定義的時間間隔內發送 ping 命令到 server 。
# 你可以改變這個時間間隔。默認為 10 秒。
#
# repl-ping-slave-period 10
 
# The following option sets the replication timeout for:
# 設置主從復制過期時間
#
# 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.
# 這個值一定要比 repl-ping-slave-period 大
#
# 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
 
# 設置主從復制容量大小。這個 backlog 是一個用來在 slaves 被斷開連接時
# 存放 slave 數據的 buffer,所以當一個 slave 想要重新連接,通常不希望全部重新同步,
# 只是部分同步就夠了,僅僅傳遞 slave 在斷開連接時丟失的這部分數據。
#
# The biggest the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
# 這個值越大,salve 可以斷開連接的時間就越長。
#
# 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.
# 在某些時候,master 不再連接 slaves,backlog 將被釋放。
#
# A value of 0 means to never release the backlog.
# 如果設置為 0 ,意味著絕不釋放 backlog 。
#
# repl-backlog-ttl 3600
 
# 當 master 不能正常工作的時候,Redis Sentinel 會從 slaves 中選出一個新的 master,
# 這個值越小,就越會被優先選中,但是如果是 0 , 那是意味著這個 slave 不可能被選中。
#
# 默認優先級為 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 GUARANTEES 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.
 
################################## 安全 ###################################
 
# 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.
# 
# 設置認證密碼
# 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.
 
################################### 限制 ####################################
 
# 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).
#
# 一旦達到最大限制,redis 將關閉所有的新連接
# 並發送一個‘max number of clients reached’的錯誤。
#
# maxclients 10000
 
# 如果你設置了這個值,當緩存的數據容量達到這個值, redis 將根據你選擇的
# eviction 策略來移除一些 keys。
#
# 如果 redis 不能根據策略移除 keys ,或者是策略被設置為 ‘noeviction’,
# redis 將開始響應錯誤給命令,如 set,lpush 等等,
# 並繼續響應只讀的命令,如 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‘).
#
# 最大使用內存
# maxmemory <bytes>
 
# 最大內存策略,你有 5 個選擇。當redis使用內存達到最大時,使用哪種策略移除內存中數據
# 
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# volatile-lru -> 使用 LRU 算法移除包含過期設置的 key 。
# allkeys-lru -> remove any key accordingly to the LRU algorithm
# allkeys-lru -> 根據 LRU 算法移除所有的 key 。
# 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
# noeviction -> 不讓任何 key 過期,只是給寫入操作返回一個錯誤
# 
# Note: with any of the above 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 noeviction
 
# LRU 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 a bit more CPU. 3 is very fast but not very accurate.
#
# 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.
#指定是否在每次更新操作後進行日誌記錄,默認配置是no,即在采用異步方式把數據寫入到磁盤,如果不開啟,可能會在斷電時導致部分數據丟失
appendonly no
 
# The name of the append only file (default: "appendonly.aof")
#指定更新日誌文件名【aof日誌】,默認為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.
#
# 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".
#指定更新日誌條件,no表示等操作系統進行數據緩存同步到磁盤的aof文件(快)always表示每次更新操作後手動調用fsync將數據寫到磁盤的aof文件(慢,安全)
# appendfsync always
#everysec,表示每秒同步一次(拆中,默認值) 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". 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 ################################ 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 exceed 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 commands was # already issue by the script but the user don‘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 集群 ############################### # # 啟用或停用集群 # 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 does 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 # 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.
#配置記錄慢日誌的條件,單位是微妙,當是負值時,關閉慢日誌記錄,當是0時,記錄所有操作 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.
#配置記錄慢查詢的最大條數 slowlog-max-len 128 ############################# Event notification ############################## # Redis can notify Pub/Sub clients about events happening in the key space. # This feature is documented at http://redis.io/topics/keyspace-events # # 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 [email protected]
/* */__:foo del # PUBLISH [email protected]__: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 # by zero or multiple characters. The empty string means that notifications # are disabled at all. # # 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 [email protected]
/* */__: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.
#配置最大元素數,當超過該配置數據時,redis采用特殊hash算法 hash-max-ziplist-entries 512
#配置最大元素值,當超過配置值時,采用特殊hash算法 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 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 # 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 # 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. # # use "activerehashing yes" if you don‘t have such hard requirements but # want to free memory asap when possible.
#指定是否激活充值hash,默認開啟 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 # slave -> slave clients and MONITOR clients # pubsub -> clients subscribed to at least one pubsub channel or pattern # # The syntax of every client-output-buffer-limit directive is the following: # # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds> # # A client is immediately disconnected once the hard limit is reached, or if # the soft limit is reached and remains reached for the specified number of # seconds (continuously). # So for instance if the hard limit is 32 megabytes and the soft limit is # 16 megabytes / 10 seconds, the client will get disconnected immediately # if the size of the output buffers reach 32 megabytes, but will also get # disconnected if the client reaches 16 megabytes and continuously overcomes # the limit for 10 seconds. # # By default normal clients are not limited because they don‘t receive data # without asking (in a push way), but just after a request, so only # asynchronous clients may create a scenario where data is requested faster # than it can read. # # Instead there is a default limit for pubsub and slave clients, since # subscribers and slaves receive data in a push fashion. # # Both the hard or the soft limit can be disabled by setting them to zero. client-output-buffer-limit normal 0 0 0 client-output-buffer-limit slave 256mb 64mb 60 client-output-buffer-limit pubsub 32mb 8mb 60 # Redis calls an internal function to perform many background tasks, like # closing connections of clients in timeout, purging expired keys that are # never requested, and so forth. # # Not all tasks are performed with the same frequency, but Redis checks for # tasks to perform accordingly 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

redis配置詳細解析