# 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：
## 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 秒内如果至少有 1 个 key 的值变化，则保存
# 300 秒内如果至少有 10 个 key 的值变化，则保存# 60 秒内如果至少有 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
# 如果 master 需要密码认证，就在这里设置
# masterauth# 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 AUTHbefore 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 <bytes>
# maxmemory
# 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 alwaysappendfsync 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 master
#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 __keyspace@0__:foo del
# PUBLISH __keyevent@0__: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@__ prefix.
# E Keyevent events, published with __keyevent@__ 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 __keyevent@0__: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 512hash-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
128zset-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
#
# 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
