# redis 配置文件示例 # 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， # 通常的格式就是 1k 5gb 4m 等酱紫： # # 1k => 1000 bytes # 1kb => 1024 bytes # 1m => 1000000 bytes # 1mb => 1024*1024 bytes # 1g => 1000000000 bytes # 1gb => 1024*1024*1024 bytes # # 单位是不区分大小写的，你写 1K 5GB 4M 也行 ################################## INCLUDES ################################### # 假如说你有一个可用于所有的 redis server 的标准配置模板， # 但针对某些 server 又需要一些个性化的设置， # 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。 # # 但是要注意哦，include 是不能被 config rewrite 命令改写的 # 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， # 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）。 # # include /path/to/local.conf # include /path/to/other.conf ################################ 常用 ##################################### # 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。 # 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。 daemonize no # 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， # 但是你可以在这里自己制定它的文件位置。 pidfile /var/run/redis.pid # 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。 port 6379 # TCP 监听的最大容纳数量 # # 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。 # 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， # 所以你要修改这两个值才能达到你的预期。 tcp-backlog 511 # 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。 # 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。 # # 示例，多个IP用空格隔开: # # bind 192.168.1.100 10.0.0.1 # bind 127.0.0.1 # 指定 unix socket 的路径。 # # unixsocket /tmp/redis.sock # unixsocketperm 755 # 指定在一个 client 空闲多少秒之后关闭连接（0 就是不管它） timeout 0 # tcp 心跳包。 # # 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。 # 这个之所有有用，主要由两个原因： # # 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. # 推荐一个合理的值就是60秒 tcp-keepalive 0 # 定义日志级别。 # 可以是下面的这些值： # debug (适用于开发或测试阶段) # verbose (many rarely useful info, but not a mess like the debug level) # notice (适用于生产环境) # warning (仅仅一些重要的消息被记录) loglevel notice # 指定日志文件的位置 logfile "" # 要想把日志记录到系统日志，就把它改成 yes， # 也可以可选择性的更新其他的syslog 参数以达到你的要求 # syslog-enabled no # 设置 syslog 的 identity。 # syslog-ident redis # 设置 syslog 的 facility，必须是 USER 或者是 LOCAL0-LOCAL7 之间的值。 # syslog-facility local0 # 设置数据库的数目。 # 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， # 但是 dbid 必须是一个介于 0 到 databasees - 1 之间的值 databases 16 ################################ 快照 ################################ # # 存 DB 到磁盘： # # 格式：save <间隔时间（秒）> <写入次数> # # 根据给定的时间间隔和写入次数将数据保存到磁盘 # # 下面的例子的意思是： # 900 秒后如果至少有 1 个 key 的值变化，则保存 # 300 秒后如果至少有 10 个 key 的值变化，则保存 # 60 秒后如果至少有 10000 个 key 的值变化，则保存 # # 注意：你可以注释掉所有的 save 行来停用保存功能。 # 也可以直接一个空字符串来实现停用： # save "" save 900 1 save 300 10 save 60 10000 # 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， # 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， # 否则就会没人注意到灾难的发生。 # # 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。 # # 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。 stop-writes-on-bgsave-error yes # 是否在 dump .rdb 数据库的时候使用 LZF 压缩字符串 # 默认都设为 yes # 如果你希望保存子进程节省点 cpu ，你就设置它为 no ， # 不过这个数据集可能就会比较大 rdbcompression yes # 是否校验rdb文件 rdbchecksum yes # 设置 dump 的文件位置 dbfilename dump.rdb # 工作目录 # 例如上面的 dbfilename 只指定了文件名， # 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。 dir ./ ################################# 主从复制 ################################# # 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。 # 注意这个只需要在 slave 上配置。 # # slaveof <masterip> <masterport> # 如果 master 需要密码认证，就在这里设置 # masterauth <master-password> # 当一个 slave 与 master 失去联系，或者复制正在进行的时候， # slave 可能会有两种表现： # # 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， # 或者数据可能是空的在第一次同步的时候 # # 2) 如果为 no ，在你执行除了 info he salveof 之外的其他命令时， # slave 都将返回一个 "SYNC with master in progress" 的错误， # slave-serve-stale-data yes # 你可以配置一个 slave 实体是否接受写入操作。 # 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， # 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。 # 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。 # # 从 redis 2.6 版起，默认 slaves 都是只读的。 # # 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. # 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。 # 它仅仅是一个针对误用实例的一个保护层。 slave-read-only yes # Slaves 在一个预定义的时间间隔内发送 ping 命令到 server 。 # 你可以改变这个时间间隔。默认为 10 秒。 # # repl-ping-slave-period 10 # The following option sets the replication timeout for: # 设置主从复制过期时间 # # 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. # 这个值一定要比 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 # 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 # 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， # 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。 # # The biggest the replication backlog, the longer the time the slave can be # disconnected and later be able to perform a partial resynchronization. # 这个值越大，salve 可以断开连接的时间就越长。 # # 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. # 在某些时候，master 不再连接 slaves，backlog 将被释放。 # # A value of 0 means to never release the backlog. # 如果设置为 0 ，意味着绝不释放 backlog 。 # # repl-backlog-ttl 3600 # 当 master 不能正常工作的时候，Redis Sentinel 会从 slaves 中选出一个新的 master， # 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。 # # 默认优先级为 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. # # 设置认证密码 # 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). # # 一旦达到最大限制，redis 将关闭所有的新连接 # 并发送一个‘max number of clients reached’的错误。 # # maxclients 10000 # 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 # eviction 策略来移除一些 keys。 # # 如果 redis 不能根据策略移除 keys ，或者是策略被设置为 ‘noeviction’， # redis 将开始响应错误给命令，如 set，lpush 等等， # 并继续响应只读的命令，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‘). # # 最大使用内存 # maxmemory <bytes> # 最大内存策略，你有 5 个选择。 # # volatile-lru -> remove the key with an expire set using an LRU algorithm # volatile-lru -> 使用 LRU 算法移除包含过期设置的 key 。 # allkeys-lru -> remove any key accordingly to the LRU algorithm # allkeys-lru -> 根据 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 -> 不让任何 key 过期，只是给写入操作返回一个错误 # # 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. appendonly no # The name of the append only file (default: "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". # appendfsync always 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 ############################### # # 启用或停用集群 # 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. slowlog-log-slower-than 10000 # There is no limit to this length. Just be aware that it will consume memory. # You can reclaim memory used by the slow log with SLOWLOG RESET. slowlog-max-len 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 [email protected]<db>__ prefix. # E Keyevent events, published with [email protected]<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. hash-max-ziplist-entries 512 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. 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.conf的配置解析
时间： 2024-10-07 07:04:23