redis的默认配置文件redis.conf详解
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1 # redis 配置文件示例 2 3 # 当你需要为某个配置项指定内存大小的时候,必须要带上单位, 4 # 通常的格式就是 1k 5gb 4m 等酱紫: 5 # 6 # 1k => 1000 bytes 7 # 1kb => 1024 bytes 8 # 1m => 1000000 bytes 9 # 1mb => 1024*1024 bytes 10 # 1g => 1000000000 bytes 11 # 1gb => 1024*1024*1024 bytes 12 # 13 # 单位是不区分大小写的,你写 1K 5GB 4M 也行 14 15 ################################## INCLUDES ################################### 16 17 # 假如说你有一个可用于所有的 redis server 的标准配置模板, 18 # 但针对某些 server 又需要一些个性化的设置, 19 # 你可以使用 include 来包含一些其他的配置文件,这对你来说是非常有用的。 20 # 21 # 但是要注意哦,include 是不能被 config rewrite 命令改写的 22 # 由于 redis 总是以最后的加工线作为一个配置指令值,所以你最好是把 include 放在这个文件的最前面, 23 # 以避免在运行时覆盖配置的改变,相反,你就把它放在后面(外国人真啰嗦)。 24 # 25 # include /path/to/local.conf 26 # include /path/to/other.conf 27 28 ################################ 常用 ##################################### 29 30 # 默认情况下 redis 不是作为守护进程运行的,如果你想让它在后台运行,你就把它改成 yes。 31 # 当redis作为守护进程运行的时候,它会写一个 pid 到 /var/run/redis.pid 文件里面。 32 daemonize no 33 34 # 当redis作为守护进程运行的时候,它会把 pid 默认写到 /var/run/redis.pid 文件里面, 35 # 但是你可以在这里自己制定它的文件位置。 36 pidfile /var/run/redis.pid 37 38 # 监听端口号,默认为 6379,如果你设为 0 ,redis 将不在 socket 上监听任何客户端连接。 39 port 6379 40 41 # TCP 监听的最大容纳数量 42 # 43 # 在高并发的环境下,你需要把这个值调高以避免客户端连接缓慢的问题。 44 # Linux 内核会一声不响的把这个值缩小成 /proc/sys/net/core/somaxconn 对应的值, 45 # 所以你要修改这两个值才能达到你的预期。 46 tcp-backlog 511 47 48 # 默认情况下,redis 在 server 上所有有效的网络接口上监听客户端连接。 49 # 你如果只想让它在一个网络接口上监听,那你就绑定一个IP或者多个IP。 50 # 51 # 示例,多个IP用空格隔开: 52 # 53 # bind 192.168.1.100 10.0.0.1 54 # bind 127.0.0.1 55 56 # 指定 unix socket 的路径。 57 # 58 # unixsocket /tmp/redis.sock 59 # unixsocketperm 755 60 61 # 指定在一个 client 空闲多少秒之后关闭连接(0 就是不管它) 62 timeout 0 63 64 # tcp 心跳包。 65 # 66 # 如果设置为非零,则在与客户端缺乏通讯的时候使用 SO_KEEPALIVE 发送 tcp acks 给客户端。 67 # 这个之所有有用,主要由两个原因: 68 # 69 # 1) 防止死的 peers 70 # 2) Take the connection alive from the point of view of network 71 # equipment in the middle. 72 # 73 # On Linux, the specified value (in seconds) is the period used to send ACKs. 74 # Note that to close the connection the double of the time is needed. 75 # On other kernels the period depends on the kernel configuration. 76 # 77 # A reasonable value for this option is 60 seconds. 78 # 推荐一个合理的值就是60秒 79 tcp-keepalive 0 80 81 # 定义日志级别。 82 # 可以是下面的这些值: 83 # debug (适用于开发或测试阶段) 84 # verbose (many rarely useful info, but not a mess like the debug level) 85 # notice (适用于生产环境) 86 # warning (仅仅一些重要的消息被记录) 87 loglevel notice 88 89 # 指定日志文件的位置 90 logfile "" 91 92 # 要想把日志记录到系统日志,就把它改成 yes, 93 # 也可以可选择性的更新其他的syslog 参数以达到你的要求 94 # syslog-enabled no 95 96 # 设置 syslog 的 identity。 97 # syslog-ident redis 98 99 # 设置 syslog 的 facility,必须是 USER 或者是 LOCAL0-LOCAL7 之间的值。 100 # syslog-facility local0 101 102 # 设置数据库的数目。 103 # 默认数据库是 DB 0,你可以在每个连接上使用 select <dbid> 命令选择一个不同的数据库, 104# 但是 dbid 必须是一个介于 0 到 databasees - 1 之间的值 105databases 16 106107################################ 快照 ################################ 108# 109# 存 DB 到磁盘: 110# 111 # 格式:save <间隔时间(秒)><写入次数>112# 113# 根据给定的时间间隔和写入次数将数据保存到磁盘 114# 115# 下面的例子的意思是: 116# 900 秒内如果至少有 1 个 key 的值变化,则保存 117# 300 秒内如果至少有 10 个 key 的值变化,则保存 118# 60 秒内如果至少有 10000 个 key 的值变化,则保存 119# 120# 注意:你可以注释掉所有的 save 行来停用保存功能。 121# 也可以直接一个空字符串来实现停用: 122# save "" 123124save 900 1 125save 300 10 126save 60 10000 127128# 默认情况下,如果 redis 最后一次的后台保存失败,redis 将停止接受写操作, 129# 这样以一种强硬的方式让用户知道数据不能正确的持久化到磁盘, 130# 否则就会没人注意到灾难的发生。 131# 132# 如果后台保存进程重新启动工作了,redis 也将自动的允许写操作。 133# 134# 然而你要是安装了靠谱的监控,你可能不希望 redis 这样做,那你就改成 no 好了。 135stop-writes-on-bgsave-error yes 136137# 是否在 dump .rdb 数据库的时候使用 LZF 压缩字符串 138# 默认都设为 yes 139# 如果你希望保存子进程节省点 cpu ,你就设置它为 no , 140# 不过这个数据集可能就会比较大 141rdbcompression yes 142143# 是否校验rdb文件 144rdbchecksum yes 145146# 设置 dump 的文件位置 147dbfilename dump.rdb 148149# 工作目录 150# 例如上面的 dbfilename 只指定了文件名, 151# 但是它会写入到这个目录下。这个配置项一定是个目录,而不能是文件名。 152dir ./ 153154################################# 主从复制 ################################# 155156# 主从复制。使用 slaveof 来让一个 redis 实例成为另一个reids 实例的副本。 157# 注意这个只需要在 slave 上配置。 158# 159 # slaveof <masterip><masterport>160161# 如果 master 需要密码认证,就在这里设置 162 # masterauth <master-password>163164# 当一个 slave 与 master 失去联系,或者复制正在进行的时候, 165# slave 可能会有两种表现: 166# 167# 1) 如果为 yes ,slave 仍然会应答客户端请求,但返回的数据可能是过时, 168# 或者数据可能是空的在第一次同步的时候 169# 170# 2) 如果为 no ,在你执行除了 info he salveof 之外的其他命令时, 171# slave 都将返回一个 "SYNC with master in progress" 的错误, 172# 173slave-serve-stale-data yes 174175# 你可以配置一个 slave 实体是否接受写入操作。 176# 通过写入操作来存储一些短暂的数据对于一个 slave 实例来说可能是有用的, 177# 因为相对从 master 重新同步数而言,据数据写入到 slave 会更容易被删除。 178# 但是如果客户端因为一个错误的配置写入,也可能会导致一些问题。 179# 180# 从 redis 2.6 版起,默认 slaves 都是只读的。 181# 182# Note: read only slaves are not designed to be exposed to untrusted clients 183# on the internet. It‘s just a protection layer against misuse of the instance. 184# Still a read only slave exports by default all the administrative commands 185# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve 186# security of read only slaves using ‘rename-command‘ to shadow all the 187# administrative / dangerous commands. 188# 注意:只读的 slaves 没有被设计成在 internet 上暴露给不受信任的客户端。 189# 它仅仅是一个针对误用实例的一个保护层。 190slave-read-only yes 191192# Slaves 在一个预定义的时间间隔内发送 ping 命令到 server 。 193# 你可以改变这个时间间隔。默认为 10 秒。 194# 195# repl-ping-slave-period 10 196197# The following option sets the replication timeout for: 198# 设置主从复制过期时间 199# 200# 1) Bulk transfer I/O during SYNC, from the point of view of slave. 201# 2) Master timeout from the point of view of slaves (data, pings). 202# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings). 203# 204# It is important to make sure that this value is greater than the value 205# specified for repl-ping-slave-period otherwise a timeout will be detected 206# every time there is low traffic between the master and the slave. 207# 这个值一定要比 repl-ping-slave-period 大 208# 209# repl-timeout 60 210211# Disable TCP_NODELAY on the slave socket after SYNC? 212# 213# If you select "yes" Redis will use a smaller number of TCP packets and 214# less bandwidth to send data to slaves. But this can add a delay for 215# the data to appear on the slave side, up to 40 milliseconds with 216# Linux kernels using a default configuration. 217# 218# If you select "no" the delay for data to appear on the slave side will 219# be reduced but more bandwidth will be used for replication. 220# 221# By default we optimize for low latency, but in very high traffic conditions 222# or when the master and slaves are many hops away, turning this to "yes" may 223# be a good idea. 224repl-disable-tcp-nodelay no 225226# 设置主从复制容量大小。这个 backlog 是一个用来在 slaves 被断开连接时 227# 存放 slave 数据的 buffer,所以当一个 slave 想要重新连接,通常不希望全部重新同步, 228# 只是部分同步就够了,仅仅传递 slave 在断开连接时丢失的这部分数据。 229# 230# The biggest the replication backlog, the longer the time the slave can be 231# disconnected and later be able to perform a partial resynchronization. 232# 这个值越大,salve 可以断开连接的时间就越长。 233# 234# The backlog is only allocated once there is at least a slave connected. 235# 236# repl-backlog-size 1mb 237238# After a master has no longer connected slaves for some time, the backlog 239# will be freed. The following option configures the amount of seconds that 240# need to elapse, starting from the time the last slave disconnected, for 241# the backlog buffer to be freed. 242# 在某些时候,master 不再连接 slaves,backlog 将被释放。 243# 244# A value of 0 means to never release the backlog. 245# 如果设置为 0 ,意味着绝不释放 backlog 。 246# 247# repl-backlog-ttl 3600 248249# 当 master 不能正常工作的时候,Redis Sentinel 会从 slaves 中选出一个新的 master, 250# 这个值越小,就越会被优先选中,但是如果是 0 , 那是意味着这个 slave 不可能被选中。 251# 252# 默认优先级为 100。 253slave-priority 100 254255# It is possible for a master to stop accepting writes if there are less than 256# N slaves connected, having a lag less or equal than M seconds. 257# 258# The N slaves need to be in "online" state. 259# 260 # The lag in seconds, that must be <= the specified value, is calculated from 261# the last ping received from the slave, that is usually sent every second. 262# 263# This option does not GUARANTEES that N replicas will accept the write, but 264# will limit the window of exposure for lost writes in case not enough slaves 265# are available, to the specified number of seconds. 266# 267# For example to require at least 3 slaves with a lag <= 10 seconds use: 268# 269# min-slaves-to-write 3 270# min-slaves-max-lag 10 271# 272# Setting one or the other to 0 disables the feature. 273# 274# By default min-slaves-to-write is set to 0 (feature disabled) and 275# min-slaves-max-lag is set to 10. 276277################################## 安全 ################################### 278279# Require clients to issue AUTH <PASSWORD> before processing any other 280# commands. This might be useful in environments in which you do not trust 281# others with access to the host running redis-server. 282# 283# This should stay commented out for backward compatibility and because most 284# people do not need auth (e.g. they run their own servers). 285# 286# Warning: since Redis is pretty fast an outside user can try up to 287# 150k passwords per second against a good box. This means that you should 288# use a very strong password otherwise it will be very easy to break. 289# 290# 设置认证密码 291# requirepass foobared 292293# Command renaming. 294# 295# It is possible to change the name of dangerous commands in a shared 296# environment. For instance the CONFIG command may be renamed into something 297# hard to guess so that it will still be available for internal-use tools 298# but not available for general clients. 299# 300# Example: 301# 302# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52 303# 304# It is also possible to completely kill a command by renaming it into 305# an empty string: 306# 307# rename-command CONFIG "" 308# 309# Please note that changing the name of commands that are logged into the 310# AOF file or transmitted to slaves may cause problems. 311312################################### 限制 #################################### 313314# Set the max number of connected clients at the same time. By default 315# this limit is set to 10000 clients, however if the Redis server is not 316# able to configure the process file limit to allow for the specified limit 317# the max number of allowed clients is set to the current file limit 318# minus 32 (as Redis reserves a few file descriptors for internal uses). 319# 320# 一旦达到最大限制,redis 将关闭所有的新连接 321# 并发送一个‘max number of clients reached’的错误。 322# 323# maxclients 10000 324325# 如果你设置了这个值,当缓存的数据容量达到这个值, redis 将根据你选择的 326# eviction 策略来移除一些 keys。 327# 328# 如果 redis 不能根据策略移除 keys ,或者是策略被设置为 ‘noeviction’, 329# redis 将开始响应错误给命令,如 set,lpush 等等, 330# 并继续响应只读的命令,如 get 331# 332# This option is usually useful when using Redis as an LRU cache, or to set 333# a hard memory limit for an instance (using the ‘noeviction‘ policy). 334# 335# WARNING: If you have slaves attached to an instance with maxmemory on, 336# the size of the output buffers needed to feed the slaves are subtracted 337# from the used memory count, so that network problems / resyncs will 338# not trigger a loop where keys are evicted, and in turn the output 339# buffer of slaves is full with DELs of keys evicted triggering the deletion 340# of more keys, and so forth until the database is completely emptied. 341# 342# In short... if you have slaves attached it is suggested that you set a lower 343# limit for maxmemory so that there is some free RAM on the system for slave 344# output buffers (but this is not needed if the policy is ‘noeviction‘). 345# 346# 最大使用内存 347 # maxmemory <bytes>348349# 最大内存策略,你有 5 个选择。 350# 351# volatile-lru -> remove the key with an expire set using an LRU algorithm 352# volatile-lru -> 使用 LRU 算法移除包含过期设置的 key 。 353# allkeys-lru -> remove any key accordingly to the LRU algorithm 354# allkeys-lru -> 根据 LRU 算法移除所有的 key 。 355# volatile-random -> remove a random key with an expire set 356# allkeys-random -> remove a random key, any key 357# volatile-ttl -> remove the key with the nearest expire time (minor TTL) 358# noeviction -> don‘t expire at all, just return an error on write operations 359# noeviction -> 不让任何 key 过期,只是给写入操作返回一个错误 360# 361# Note: with any of the above policies, Redis will return an error on write 362# operations, when there are not suitable keys for eviction. 363# 364# At the date of writing this commands are: set setnx setex append 365# incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd 366# sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby 367# zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby 368# getset mset msetnx exec sort 369# 370# The default is: 371# 372# maxmemory-policy noeviction 373374# LRU and minimal TTL algorithms are not precise algorithms but approximated 375# algorithms (in order to save memory), so you can tune it for speed or 376# accuracy. For default Redis will check five keys and pick the one that was 377# used less recently, you can change the sample size using the following 378# configuration directive. 379# 380# The default of 5 produces good enough results. 10 Approximates very closely 381# true LRU but costs a bit more CPU. 3 is very fast but not very accurate. 382# 383# maxmemory-samples 5 384385############################## APPEND ONLY MODE ############################### 386387# By default Redis asynchronously dumps the dataset on disk. This mode is 388# good enough in many applications, but an issue with the Redis process or 389# a power outage may result into a few minutes of writes lost (depending on 390# the configured save points). 391# 392# The Append Only File is an alternative persistence mode that provides 393# much better durability. For instance using the default data fsync policy 394# (see later in the config file) Redis can lose just one second of writes in a 395# dramatic event like a server power outage, or a single write if something 396# wrong with the Redis process itself happens, but the operating system is 397# still running correctly. 398# 399# AOF and RDB persistence can be enabled at the same time without problems. 400# If the AOF is enabled on startup Redis will load the AOF, that is the file 401# with the better durability guarantees. 402# 403# Please check http://redis.io/topics/persistence for more information. 404405appendonly no 406407# The name of the append only file (default: "appendonly.aof") 408409appendfilename "appendonly.aof" 410411# The fsync() call tells the Operating System to actually write data on disk 412# instead to wait for more data in the output buffer. Some OS will really flush 413# data on disk, some other OS will just try to do it ASAP. 414# 415# Redis supports three different modes: 416# 417# no: don‘t fsync, just let the OS flush the data when it wants. Faster. 418# always: fsync after every write to the append only log . Slow, Safest. 419# everysec: fsync only one time every second. Compromise. 420# 421# The default is "everysec", as that‘s usually the right compromise between 422# speed and data safety. It‘s up to you to understand if you can relax this to 423# "no" that will let the operating system flush the output buffer when 424# it wants, for better performances (but if you can live with the idea of 425# some data loss consider the default persistence mode that‘s snapshotting), 426# or on the contrary, use "always" that‘s very slow but a bit safer than 427# everysec. 428# 429# More details please check the following article: 430# http://antirez.com/post/redis-persistence-demystified.html 431# 432# If unsure, use "everysec". 433434# appendfsync always 435appendfsync everysec 436# appendfsync no 437438# When the AOF fsync policy is set to always or everysec, and a background 439# saving process (a background save or AOF log background rewriting) is 440# performing a lot of I/O against the disk, in some Linux configurations 441# Redis may block too long on the fsync() call. Note that there is no fix for 442# this currently, as even performing fsync in a different thread will block 443# our synchronous write(2) call. 444# 445# In order to mitigate this problem it‘s possible to use the following option 446# that will prevent fsync() from being called in the main process while a 447# BGSAVE or BGREWRITEAOF is in progress. 448# 449# This means that while another child is saving, the durability of Redis is 450# the same as "appendfsync none". In practical terms, this means that it is 451# possible to lose up to 30 seconds of log in the worst scenario (with the 452# default Linux settings). 453# 454# If you have latency problems turn this to "yes". Otherwise leave it as 455# "no" that is the safest pick from the point of view of durability. 456457no-appendfsync-on-rewrite no 458459# Automatic rewrite of the append only file. 460# Redis is able to automatically rewrite the log file implicitly calling 461# BGREWRITEAOF when the AOF log size grows by the specified percentage. 462# 463# This is how it works: Redis remembers the size of the AOF file after the 464# latest rewrite (if no rewrite has happened since the restart, the size of 465# the AOF at startup is used). 466# 467# This base size is compared to the current size. If the current size is 468# bigger than the specified percentage, the rewrite is triggered. Also 469# you need to specify a minimal size for the AOF file to be rewritten, this 470# is useful to avoid rewriting the AOF file even if the percentage increase 471# is reached but it is still pretty small. 472# 473# Specify a percentage of zero in order to disable the automatic AOF 474# rewrite feature. 475476auto-aof-rewrite-percentage 100 477auto-aof-rewrite-min-size 64mb 478479################################ LUA SCRIPTING ############################### 480481# Max execution time of a Lua script in milliseconds. 482# 483# If the maximum execution time is reached Redis will log that a script is 484# still in execution after the maximum allowed time and will start to 485# reply to queries with an error. 486# 487# When a long running script exceed the maximum execution time only the 488# SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be 489# used to stop a script that did not yet called write commands. The second 490# is the only way to shut down the server in the case a write commands was 491# already issue by the script but the user don‘t want to wait for the natural 492# termination of the script. 493# 494# Set it to 0 or a negative value for unlimited execution without warnings. 495lua-time-limit 5000 496497################################ REDIS 集群 ############################### 498# 499# 启用或停用集群 500# cluster-enabled yes 501502# Every cluster node has a cluster configuration file. This file is not 503# intended to be edited by hand. It is created and updated by Redis nodes. 504# Every Redis Cluster node requires a different cluster configuration file. 505# Make sure that instances running in the same system does not have 506# overlapping cluster configuration file names. 507# 508# cluster-config-file nodes-6379.conf 509510# Cluster node timeout is the amount of milliseconds a node must be unreachable 511# for it to be considered in failure state. 512# Most other internal time limits are multiple of the node timeout. 513# 514# cluster-node-timeout 15000 515516# A slave of a failing master will avoid to start a failover if its data 517# looks too old. 518# 519# There is no simple way for a slave to actually have a exact measure of 520# its "data age", so the following two checks are performed: 521# 522# 1) If there are multiple slaves able to failover, they exchange messages 523# in order to try to give an advantage to the slave with the best 524# replication offset (more data from the master processed). 525# Slaves will try to get their rank by offset, and apply to the start 526# of the failover a delay proportional to their rank. 527# 528# 2) Every single slave computes the time of the last interaction with 529# its master. This can be the last ping or command received (if the master 530# is still in the "connected" state), or the time that elapsed since the 531# disconnection with the master (if the replication link is currently down). 532# If the last interaction is too old, the slave will not try to failover 533# at all. 534# 535# The point "2" can be tuned by user. Specifically a slave will not perform 536# the failover if, since the last interaction with the master, the time 537# elapsed is greater than: 538# 539# (node-timeout * slave-validity-factor) + repl-ping-slave-period 540# 541# So for example if node-timeout is 30 seconds, and the slave-validity-factor 542# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the 543# slave will not try to failover if it was not able to talk with the master 544# for longer than 310 seconds. 545# 546# A large slave-validity-factor may allow slaves with too old data to failover 547# a master, while a too small value may prevent the cluster from being able to 548# elect a slave at all. 549# 550# For maximum availability, it is possible to set the slave-validity-factor 551# to a value of 0, which means, that slaves will always try to failover the 552# master regardless of the last time they interacted with the master. 553# (However they‘ll always try to apply a delay proportional to their 554# offset rank). 555# 556# Zero is the only value able to guarantee that when all the partitions heal 557# the cluster will always be able to continue. 558# 559# cluster-slave-validity-factor 10 560561# Cluster slaves are able to migrate to orphaned masters, that are masters 562# that are left without working slaves. This improves the cluster ability 563# to resist to failures as otherwise an orphaned master can‘t be failed over 564# in case of failure if it has no working slaves. 565# 566# Slaves migrate to orphaned masters only if there are still at least a 567# given number of other working slaves for their old master. This number 568# is the "migration barrier". A migration barrier of 1 means that a slave 569# will migrate only if there is at least 1 other working slave for its master 570# and so forth. It usually reflects the number of slaves you want for every 571# master in your cluster. 572# 573# Default is 1 (slaves migrate only if their masters remain with at least 574# one slave). To disable migration just set it to a very large value. 575# A value of 0 can be set but is useful only for debugging and dangerous 576# in production. 577# 578# cluster-migration-barrier 1 579580# In order to setup your cluster make sure to read the documentation 581# available at http://redis.io web site. 582583################################## SLOW LOG ################################### 584585# The Redis Slow Log is a system to log queries that exceeded a specified 586# execution time. The execution time does not include the I/O operations 587# like talking with the client, sending the reply and so forth, 588# but just the time needed to actually execute the command (this is the only 589# stage of command execution where the thread is blocked and can not serve 590# other requests in the meantime). 591# 592# You can configure the slow log with two parameters: one tells Redis 593# what is the execution time, in microseconds, to exceed in order for the 594# command to get logged, and the other parameter is the length of the 595# slow log. When a new command is logged the oldest one is removed from the 596# queue of logged commands. 597598# The following time is expressed in microseconds, so 1000000 is equivalent 599# to one second. Note that a negative number disables the slow log, while 600# a value of zero forces the logging of every command. 601slowlog-log-slower-than 10000 602603# There is no limit to this length. Just be aware that it will consume memory. 604# You can reclaim memory used by the slow log with SLOWLOG RESET. 605slowlog-max-len 128 606607############################# Event notification ############################## 608609# Redis can notify Pub/Sub clients about events happening in the key space. 610# This feature is documented at http://redis.io/topics/keyspace-events 611# 612# For instance if keyspace events notification is enabled, and a client 613# performs a DEL operation on key "foo" stored in the Database 0, two 614# messages will be published via Pub/Sub: 615# 616# PUBLISH __keyspace@0__:foo del 617# PUBLISH __keyevent@0__:del foo 618# 619# It is possible to select the events that Redis will notify among a set 620# of classes. Every class is identified by a single character: 621# 622 # K Keyspace events, published with __keyspace@<db>__ prefix. 623 # E Keyevent events, published with __keyevent@<db>__ prefix. 624# g Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ... 625# $ String commands 626# l List commands 627# s Set commands 628# h Hash commands 629# z Sorted set commands 630# x Expired events (events generated every time a key expires) 631# e Evicted events (events generated when a key is evicted for maxmemory) 632# A Alias for g$lshzxe, so that the "AKE" string means all the events. 633# 634# The "notify-keyspace-events" takes as argument a string that is composed 635# by zero or multiple characters. The empty string means that notifications 636# are disabled at all. 637# 638# Example: to enable list and generic events, from the point of view of the 639# event name, use: 640# 641# notify-keyspace-events Elg 642# 643# Example 2: to get the stream of the expired keys subscribing to channel 644# name __keyevent@0__:expired use: 645# 646# notify-keyspace-events Ex 647# 648# By default all notifications are disabled because most users don‘t need 649# this feature and the feature has some overhead. Note that if you don‘t 650# specify at least one of K or E, no events will be delivered. 651notify-keyspace-events "" 652653############################### ADVANCED CONFIG ############################### 654655# Hashes are encoded using a memory efficient data structure when they have a 656# small number of entries, and the biggest entry does not exceed a given 657# threshold. These thresholds can be configured using the following directives. 658hash-max-ziplist-entries 512 659hash-max-ziplist-value 64 660661# Similarly to hashes, small lists are also encoded in a special way in order 662# to save a lot of space. The special representation is only used when 663# you are under the following limits: 664list-max-ziplist-entries 512 665list-max-ziplist-value 64 666667# Sets have a special encoding in just one case: when a set is composed 668# of just strings that happens to be integers in radix 10 in the range 669# of 64 bit signed integers. 670# The following configuration setting sets the limit in the size of the 671# set in order to use this special memory saving encoding. 672set-max-intset-entries 512 673674# Similarly to hashes and lists, sorted sets are also specially encoded in 675# order to save a lot of space. This encoding is only used when the length and 676# elements of a sorted set are below the following limits: 677zset-max-ziplist-entries 128 678zset-max-ziplist-value 64 679680# HyperLogLog sparse representation bytes limit. The limit includes the 681# 16 bytes header. When an HyperLogLog using the sparse representation crosses 682# this limit, it is converted into the dense representation. 683# 684# A value greater than 16000 is totally useless, since at that point the 685# dense representation is more memory efficient. 686# 687# The suggested value is ~ 3000 in order to have the benefits of 688# the space efficient encoding without slowing down too much PFADD, 689# which is O(N) with the sparse encoding. The value can be raised to 690# ~ 10000 when CPU is not a concern, but space is, and the data set is 691# composed of many HyperLogLogs with cardinality in the 0 - 15000 range. 692hll-sparse-max-bytes 3000 693694# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in 695# order to help rehashing the main Redis hash table (the one mapping top-level 696# keys to values). The hash table implementation Redis uses (see dict.c) 697# performs a lazy rehashing: the more operation you run into a hash table 698# that is rehashing, the more rehashing "steps" are performed, so if the 699# server is idle the rehashing is never complete and some more memory is used 700# by the hash table. 701# 702# The default is to use this millisecond 10 times every second in order to 703# active rehashing the main dictionaries, freeing memory when possible. 704# 705# If unsure: 706# use "activerehashing no" if you have hard latency requirements and it is 707# not a good thing in your environment that Redis can reply form time to time 708# to queries with 2 milliseconds delay. 709# 710# use "activerehashing yes" if you don‘t have such hard requirements but 711# want to free memory asap when possible. 712activerehashing yes 713714# The client output buffer limits can be used to force disconnection of clients 715# that are not reading data from the server fast enough for some reason (a 716# common reason is that a Pub/Sub client can‘t consume messages as fast as the 717# publisher can produce them). 718# 719# The limit can be set differently for the three different classes of clients: 720# 721# normal -> normal clients 722# slave -> slave clients and MONITOR clients 723# pubsub -> clients subscribed to at least one pubsub channel or pattern 724# 725# The syntax of every client-output-buffer-limit directive is the following: 726# 727 # client-output-buffer-limit <class><hard limit><soft limit><soft seconds>728# 729# A client is immediately disconnected once the hard limit is reached, or if 730# the soft limit is reached and remains reached for the specified number of 731# seconds (continuously). 732# So for instance if the hard limit is 32 megabytes and the soft limit is 733# 16 megabytes / 10 seconds, the client will get disconnected immediately 734# if the size of the output buffers reach 32 megabytes, but will also get 735# disconnected if the client reaches 16 megabytes and continuously overcomes 736# the limit for 10 seconds. 737# 738# By default normal clients are not limited because they don‘t receive data 739# without asking (in a push way), but just after a request, so only 740# asynchronous clients may create a scenario where data is requested faster 741# than it can read. 742# 743# Instead there is a default limit for pubsub and slave clients, since 744# subscribers and slaves receive data in a push fashion. 745# 746# Both the hard or the soft limit can be disabled by setting them to zero. 747client-output-buffer-limit normal 0 0 0 748client-output-buffer-limit slave 256mb 64mb 60 749client-output-buffer-limit pubsub 32mb 8mb 60 750751# Redis calls an internal function to perform many background tasks, like 752# closing connections of clients in timeout, purging expired keys that are 753# never requested, and so forth. 754# 755# Not all tasks are performed with the same frequency, but Redis checks for 756# tasks to perform accordingly to the specified "hz" value. 757# 758# By default "hz" is set to 10. Raising the value will use more CPU when 759# Redis is idle, but at the same time will make Redis more responsive when 760# there are many keys expiring at the same time, and timeouts may be 761# handled with more precision. 762# 763# The range is between 1 and 500, however a value over 100 is usually not 764# a good idea. Most users should use the default of 10 and raise this up to 765# 100 only in environments where very low latency is required. 766hz 10 767768# When a child rewrites the AOF file, if the following option is enabled 769# the file will be fsync-ed every 32 MB of data generated. This is useful 770# in order to commit the file to the disk more incrementally and avoid 771# big latency spikes. 772 aof-rewrite-incremental-fsync yes
原文:https://www.cnblogs.com/jpwahaha/p/9311199.html
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