Redis 三：redis.conf 配置详细解析

以你之姓@ 2022-07-16 05:12 179阅读 0赞

\# 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 <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 \_\_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@<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 \_\_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 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 三：redis.conf 配置详细解析

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