<pre>

Redis 配置文件示例

注意：想要读取配置文件，Redis的第一个参数必须是文件的路径

./redis-server /path/to/redis.conf

需要改变内存大小时，必须带上单位

it in the usual form of 1k 5GB 4M and so forth:

1k => 1000 bytes

1kb => 1024 bytes

1m => 1000000 bytes

1mb => 1024*1024 bytes

1g => 1000000000 bytes

1gb => 102410241024 bytes

units are case insensitive so 1GB 1Gb 1gB are all the same.

单位不区分大小写

################################## 包含 ###################################

包含了一个或者多个配置文件，有一个适用于所有服务器的模板，可以定制一些服务器的设置是很有用的。

包含文件可以包含其他的文件，请合理使用

包含文件不会被config rewrite 命令改写

include /path/to/local.conf

include /path/to/other.conf

################################## 网络 #####################################

默认情况下，如果没有指定绑定配置指令，Redis会监听服务器上所有可用的的网络连接接口

也可以用绑定指定，绑定一个或者多个ip地址，来监听一个或者多个指定端口也是可以的j

Examples:

bind 192.168.1.100 10.0.0.1

bind 127.0.0.1 ::1

~~~ WARNING ~~~ If the computer running Redis is directly exposed to the

internet, binding to all the interfaces is dangerous and will expose the

instance to everybody on the internet. So by default we uncomment the

following bind directive, that will force Redis to listen only into

the IPv4 lookback interface address (this means Redis will be able to

accept connections only from clients running into the same computer it

is running).

IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES

JUST COMMENT THE FOLLOWING LINE.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

bind 127.0.0.1 #绑定监听的ip地址

Protected mode is a layer of security protection, in order to avoid that

Redis instances left open on the internet are accessed and exploited.

When protected mode is on and if:

1) The server is not binding explicitly to a set of addresses using the

"bind" directive.

2) No password is configured.

The server only accepts connections from clients connecting from the

IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain

sockets.

默认启动保护模式，

如果你想让来自其他主机的客户端连接到Redis,你应该禁用它

even if no authentication is configured, nor a specific set of interfaces

are explicitly listed using the "bind" directive.

protected-mode no

默认指定6379作为接受链接端口 ，如果端口是0，则不会监听tcp 链接

port 6379

TCP listen() backlog.

In high requests-per-second environments you need an high backlog in order

to avoid slow clients connections issues. Note that the Linux kernel

will silently truncate it to the value of /proc/sys/net/core/somaxconn so

make sure to raise both the value of somaxconn and tcp_max_syn_backlog

in order to get the desired effect.

tcp-backlog 511

Unix socket.

Specify the path for the Unix socket that will be used to listen for

incoming connections. There is no default, so Redis will not listen

on a unix socket when not specified.

unixsocket /tmp/redis.sock

unixsocketperm 700

客户端闲置N秒后关闭连接，0 表示不启用该配置

timeout 0

TCP keepalive.

If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence

of communication. This is useful for two reasons:

1) Detect dead 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 300 seconds, which is the new

Redis default starting with Redis 3.2.1.

tcp-keepalive 300 #保持tcp连接的时间

################################# GENERAL #####################################

默认情况下，Redis 不是作为后台程序在运行，使用 yes ,可以更改为后台运行，

当Redis作为守护进程运行的时候，会把pid文件放在/var/run/redis.pid文件中

daemonize no

If you run Redis from upstart or systemd, Redis can interact with your

supervision tree. Options:

supervised no - no supervision interaction

supervised upstart - signal upstart by putting Redis into SIGSTOP mode

supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET

supervised auto - detect upstart or systemd method based on

UPSTART_JOB or NOTIFY_SOCKET environment variables

Note: these supervision methods only signal "process is ready."

They do not enable continuous liveness pings back to your supervisor.

supervised no

If a pid file is specified, Redis writes it where specified at startup

and removes it at exit.

When the server runs non daemonized, no pid file is created if none is

specified in the configuration. When the server is daemonized, the pid file

is used even if not specified, defaulting to "/var/run/redis.pid".

Creating a pid file is best effort: if Redis is not able to create it

nothing bad happens, the server will start and run normally.

pidfile /var/run/redis_6379.pid

定义日志级别

可以下面的这些值：

debug (a lot of information, useful for development/testing)

verbose (many rarely useful info, but not a mess like the debug level)

notice (moderately verbose, what you want in production probably)

warning (only very important / critical messages are logged)

指定日志的记录级别，默认为notice

loglevel notice

指定日志文件的名称，

空字符串也可以在标准输出中被推入文件，如果是以守护进程的方式运行，日志会被发送到/dev/null

logfile ""

To enable logging to the system logger, just set 'syslog-enabled' to yes,

and optionally update the other syslog parameters to suit your needs.

syslog-enabled no 是否启用系统日志

Specify the syslog identity.

指定系统日志身份

syslog-ident redis

Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.

syslog-facility local0

设置数据库的数量，默认的数据是0 ,可以使用select dbid 来选择其他的数据库

databases 16

################################ 快照 ################################

保存内存中的数据到硬盘上:

save <seconds> <changes>

如果当前的数据库满足给定的秒数和给定的次数将保存db

In the example below the behaviour will be to save: 发生下面的行为，将执行保存操作

after 900 sec (15 min) if at least 1 key changed 900内 有个更改则保存

after 300 sec (5 min) if at least 10 keys changed 300秒内，有10个操作则保存

after 60 sec if at least 10000 keys changed 60秒内有10000 更改 则保存

Note: you can disable saving completely by commenting out all "save" lines.

It is also possible to remove all the previously configured save

points by adding a save directive with a single empty string argument

like in the following example:

save ""

save 900 1
save 300 10
save 60 10000

默认情况下，如果最后一次保存失败，redis将停止接受写入操作

# This will make the user aware (in a hard way) that data is not persisting

on disk properly, otherwise chances are that no one will notice and some

disaster will happen.

If the background saving process will start working again Redis will

automatically allow writes again.

However if you have setup your proper monitoring of the Redis server

and persistence, you may want to disable this feature so that Redis will

continue to work as usual even if there are problems with disk,

permissions, and so forth.

stop-writes-on-bgsave-error yes #保存失败停止写入

Compress string objects using LZF when dump .rdb databases?

For default that's set to 'yes' as it's almost always a win.

If you want to save some CPU in the saving child set it to 'no' but

the dataset will likely be bigger if you have compressible values or keys.

rdbcompression yes #是否在保存文件持久化时对文件进行压缩

Since version 5 of RDB a CRC64 checksum is placed at the end of the file.

This makes the format more resistant to corruption but there is a performance

hit to pay (around 10%) when saving and loading RDB files, so you can disable it

for maximum performances.

RDB files created with checksum disabled have a checksum of zero that will

tell the loading code to skip the check.

rdbchecksum yes #是否校验rdb文件

指定持久化文件的文件名

dbfilename dump.rdb

The working directory.

The DB will be written inside this directory, with the filename specified

above using the 'dbfilename' configuration directive.

The Append Only File will also be created inside this directory.

Note that you must specify a directory here, not a file name.

dir ./ #指定Redis数据持久化文件的目录

################################# REPLICATION - 复制 #################################

主从复制. 使用slaveof 来让一个实例成为另一个实例的副本

关于Redis 赋值，有一点需要理解

1) Redis replication is asynchronous, but you can configure a master to

stop accepting writes if it appears to be not connected with at least

a given number of slaves.

2) Redis slaves are able to perform a partial resynchronization with the

master if the replication link is lost for a relatively small amount of

time. You may want to configure the replication backlog size (see the next

sections of this file) with a sensible value depending on your needs.

3) Replication is automatic and does not need user intervention. After a

network partition slaves automatically try to reconnect to masters

and resynchronize with them.

slaveof <masterip> <masterport> 设置本机为从服务器时，设置master服务的主机ip地址和端口，redis 启动时会自动进行数据同步

If the master is password protected (using the "requirepass" configuration

directive below) it is possible to tell the slave to authenticate before

starting the replication synchronization process, otherwise the master will

refuse the slave request.

masterauth <master-password> 设置主服务器的连接密码

When a slave loses its connection with the master, or when the replication

is still in progress, the slave can act in two different ways:

1) if slave-serve-stale-data is set to 'yes' (the default) the slave will

still reply to client requests, possibly with out of date data, or the

data set may just be empty if this is the first synchronization.

2) if slave-serve-stale-data is set to 'no' the slave will reply with

an error "SYNC with master in progress" to all the kind of commands

but to INFO and SLAVEOF.

slave-serve-stale-data yes # master服务器挂点或者同步失败时，从服务器是否继续提供服务

You can configure a slave instance to accept writes or not. Writing against

a slave instance may be useful to store some ephemeral data (because data

written on a slave will be easily deleted after resync with the master) but

may also cause problems if clients are writing to it because of a

misconfiguration.

从redis2.6 开始，从服务器默认就是只读的

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.

slave-read-only yes #设置从服务器只读

Replication SYNC strategy: disk or socket.

-------------------------------------------------------

WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY

-------------------------------------------------------

New slaves and reconnecting slaves that are not able to continue the replication

process just receiving differences, need to do what is called a "full

synchronization". An RDB file is transmitted from the master to the slaves.

The transmission can happen in two different ways:

1) Disk-backed: The Redis master creates a new process that writes the RDB

file on disk. Later the file is transferred by the parent

process to the slaves incrementally.

2) Diskless: The Redis master creates a new process that directly writes the

RDB file to slave sockets, without touching the disk at all.

With disk-backed replication, while the RDB file is generated, more slaves

can be queued and served with the RDB file as soon as the current child producing

the RDB file finishes its work. With diskless replication instead once

the transfer starts, new slaves arriving will be queued and a new transfer

will start when the current one terminates.

When diskless replication is used, the master waits a configurable amount of

time (in seconds) before starting the transfer in the hope that multiple slaves

will arrive and the transfer can be parallelized.

With slow disks and fast (large bandwidth) networks, diskless replication

works better.

repl-diskless-sync no

When diskless replication is enabled, it is possible to configure the delay

the server waits in order to spawn the child that transfers the RDB via socket

to the slaves.

This is important since once the transfer starts, it is not possible to serve

new slaves arriving, that will be queued for the next RDB transfer, so the server

waits a delay in order to let more slaves arrive.

The delay is specified in seconds, and by default is 5 seconds. To disable

it entirely just set it to 0 seconds and the transfer will start ASAP.

repl-diskless-sync-delay 5

Slaves send PINGs to server in a predefined interval. It's possible to change

this interval with the repl_ping_slave_period option. The default value is 10

seconds.

repl-ping-slave-period 10

The following option sets the replication timeout for:

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.

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

Set the replication backlog size. The backlog is a buffer that accumulates

slave data when slaves are disconnected for some time, so that when a slave

wants to reconnect again, often a full resync is not needed, but a partial

resync is enough, just passing the portion of data the slave missed while

disconnected.

The bigger the replication backlog, the longer the time the slave can be

disconnected and later be able to perform a partial resynchronization.

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.

A value of 0 means to never release the backlog.

repl-backlog-ttl 3600

The slave priority is an integer number published by Redis in the INFO output.

It is used by Redis Sentinel in order to select a slave to promote into a

master if the master is no longer working correctly.

A slave with a low priority number is considered better for promotion, so

for instance if there are three slaves with priority 10, 100, 25 Sentinel will

pick the one with priority 10, that is the lowest.

However a special priority of 0 marks the slave as not able to perform the

role of master, so a slave with priority of 0 will never be selected by

Redis Sentinel for promotion.

By default the priority is 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 GUARANTEE 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.

A Redis master is able to list the address and port of the attached

slaves in different ways. For example the "INFO replication" section

offers this information, which is used, among other tools, by

Redis Sentinel in order to discover slave instances.

Another place where this info is available is in the output of the

"ROLE" command of a masteer.

The listed IP and address normally reported by a slave is obtained

in the following way:

IP: The address is auto detected by checking the peer address

of the socket used by the slave to connect with the master.

Port: The port is communicated by the slave during the replication

handshake, and is normally the port that the slave is using to

list for connections.

However when port forwarding or Network Address Translation (NAT) is

used, the slave may be actually reachable via different IP and port

pairs. The following two options can be used by a slave in order to

report to its master a specific set of IP and port, so that both INFO

and ROLE will report those values.

There is no need to use both the options if you need to override just

the port or the IP address.

slave-announce-ip 5.5.5.5

slave-announce-port 1234

################################## SECURITY ###################################

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).

警告:Redis的运行速度是相当快的，这意味着你要使用一个非常强的密码，不然会很容易被破解

requirepass foobared 设置连接密码

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.

################################### LIMITS ####################################

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).

一旦达到最大的闲置，redis会关闭所有的新连接，并发送‘max number of clients reached’ 错误

maxclients 10000 同一个时间最大客户端的连接数

Don't use more memory than the specified amount of bytes.

When the memory limit is reached Redis will try to remove keys

according to the eviction policy selected (see maxmemory-policy).

If Redis can't remove keys according to the policy, or if the policy is

set to 'noeviction', Redis will start to reply with errors to commands

that would use more memory, like SET, LPUSH, and so on, and will continue

to reply to read-only commands like 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').

maxmemory <bytes> 最大使用内存

MAXMEMORY POLICY: how Redis will select what to remove when maxmemory

is reached. You can select among five behaviors:

volatile-lru -> remove the key with an expire set using an LRU algorithm

allkeys-lru -> remove any key according to the LRU algorithm

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

Note: with any of the above policies, Redis will return an error on write

operations, when there are no suitable keys for eviction.

At the date of writing these 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 内存使用策略 ，

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 #是否在每次更新操作后进行日志记录，如果不开启，可能会导致一段时间内的数据丢失

The name of the append only file (default: "appendonly.aof")

appendfilename "appendonly.aof" #更新日志名

The fsync() call tells the Operating System to actually write data on disk

instead of waiting 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".

更新日志条件，no,表示由操作系统进行数据同步，always 更新后手动调用fsysc()进行同步，everysec 每秒进行同步

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

An AOF file may be found to be truncated at the end during the Redis

startup process, when the AOF data gets loaded back into memory.

This may happen when the system where Redis is running

crashes, especially when an ext4 filesystem is mounted without the

data=ordered option (however this can't happen when Redis itself

crashes or aborts but the operating system still works correctly).

Redis can either exit with an error when this happens, or load as much

data as possible (the default now) and start if the AOF file is found

to be truncated at the end. The following option controls this behavior.

If aof-load-truncated is set to yes, a truncated AOF file is loaded and

the Redis server starts emitting a log to inform the user of the event.

Otherwise if the option is set to no, the server aborts with an error

and refuses to start. When the option is set to no, the user requires

to fix the AOF file using the "redis-check-aof" utility before to restart

the server.

Note that if the AOF file will be found to be corrupted in the middle

the server will still exit with an error. This option only applies when

Redis will try to read more data from the AOF file but not enough bytes

will be found.

aof-load-truncated yes

################################ 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 exceeds 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 command was

already issued by the script but the user doesn'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 CLUSTER ###############################

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

WARNING EXPERIMENTAL: Redis Cluster is considered to be stable code, however

in order to mark it as "mature" we need to wait for a non trivial percentage

of users to deploy it in production.

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Normal Redis instances can't be part of a Redis Cluster; only nodes that are

started as cluster nodes can. In order to start a Redis instance as a

cluster node enable the cluster support uncommenting the following:

cluster-enabled yes 停用或者启用集群 ，默认不开启集群模式

每个节点都有一个集群配置文件，该文件不需要手动配置，它有节点创建并更新，

每个redis 集群节点需要一个单独的集群配置文件，确保实例运行的系统中配置文件名称不冲突

cluster-config-file nodes-6379.conf 集群配置文件

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 集群节点超时毫秒数

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

By default Redis Cluster nodes stop accepting queries if they detect there

is at least an hash slot uncovered (no available node is serving it).

This way if the cluster is partially down (for example a range of hash slots

are no longer covered) all the cluster becomes, eventually, unavailable.

It automatically returns available as soon as all the slots are covered again.

However sometimes you want the subset of the cluster which is working,

to continue to accept queries for the part of the key space that is still

covered. In order to do so, just set the cluster-require-full-coverage

option to no.

cluster-require-full-coverage yes

In order to setup your cluster make sure to read the documentation

available at http://redis.io web site.

################################## SLOW LOG ###################################

slog log 用来记录运行中redis执行较慢的命令耗时，命令执行超过来制定的时间，就记录在

slow log 中，slog log 保存在内存中所以没有io 操作

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

################################ LATENCY MONITOR ##############################

The Redis latency monitoring subsystem samples different operations

at runtime in order to collect data related to possible sources of

latency of a Redis instance.

Via the LATENCY command this information is available to the user that can

print graphs and obtain reports.

The system only logs operations that were performed in a time equal or

greater than the amount of milliseconds specified via the

latency-monitor-threshold configuration directive. When its value is set

to zero, the latency monitor is turned off.

By default latency monitoring is disabled since it is mostly not needed

if you don't have latency issues, and collecting data has a performance

impact, that while very small, can be measured under big load. Latency

monitoring can easily be enabled at runtime using the command

"CONFIG SET latency-monitor-threshold <milliseconds>" if needed.

latency-monitor-threshold 0

############################# EVENT NOTIFICATION ##############################

Redis can notify Pub/Sub clients about events happening in the key space.

This feature is documented at http://redis.io/topics/notifications

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

of zero or multiple characters. The empty string means that notifications

are disabled.

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

Lists are also encoded in a special way to save a lot of space.

The number of entries allowed per internal list node can be specified

as a fixed maximum size or a maximum number of elements.

For a fixed maximum size, use -5 through -1, meaning:

-5: max size: 64 Kb <-- not recommended for normal workloads

-4: max size: 32 Kb <-- not recommended

-3: max size: 16 Kb <-- probably not recommended

-2: max size: 8 Kb <-- good

-1: max size: 4 Kb <-- good

Positive numbers mean store up to exactly that number of elements

per list node.

The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),

but if your use case is unique, adjust the settings as necessary.

list-max-ziplist-size -2

Lists may also be compressed.

Compress depth is the number of quicklist ziplist nodes from each side of

the list to exclude from compression. The head and tail of the list

are always uncompressed for fast push/pop operations. Settings are:

0: disable all list compression

1: depth 1 means "don't start compressing until after 1 node into the list,

going from either the head or tail"

So: [head]->node->node->...->node->[tail]

[head], [tail] will always be uncompressed; inner nodes will compress.

2: [head]->[next]->node->node->...->node->[prev]->[tail]

2 here means: don't compress head or head->next or tail->prev or tail,

but compress all nodes between them.

3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]

etc.

list-compress-depth 0

Sets have a special encoding in just one case: when a set is composed

of just strings that happen 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

actively rehash 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 from 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 including MONITOR clients

slave -> slave 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 according 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

</pre>

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壮年听雨客舟中，江阔云低，断雁叫西风。
感谢支持！
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