Docker Redis映象 主從複製
Docker Hub 阿里雲Redis映象地址 https://dev.aliyun.com/detail.html?spm=5176.1971733.2.19.VcSclM&repoId=1259
當前穩定版本是:4.0.2
二:應用
1.獲取映象
docker pull redis:4.0.2
2.啟動
docker run --name myredis -d redis:4.0.2
3.對映工作目錄
docker run --name myredis -v
/home/redis:/data -d redis:4.0 redis-server --appendonly yes
docker run -v
/home/redis/6379/redis.conf:/usr/local/bin/redis.conf -v /home/redis/6379:/data --name redis-master -d redis:4.0.2 redis-server /usr/local/bin/redis.conf
docker run -v
/home/redis/6380/redis.conf:/usr/local/bin/redis.conf -v /home/redis/6380:/data -it --name redis-slave1 --link redis-master:master -d redis:4.0.2
redis-server /usr/local/bin/redis.conf
點選(此處)摺疊或開啟
三:主從複製
設定三個節點master,slave1,slave2對應的工作目錄分別為
/home/redis/6379,/home/redis/6380,/home/redis/6381 三個目錄下各有一個redis.conf配置檔案
1.Master節點
修改redis.conf配置檔案
註釋掉
bind 127.0.0.1
protected-mode yes
如果容器-d 啟動 保持 daemonize no
pidfile /var/run/redis.pid
appendonly yes
2.Slave節點
修改redis.conf配置檔案
註釋掉
bind 127.0.0.1
protected-mode yes
如果容器-d 啟動 保持 daemonize no
pidfile /var/run/redis.pid
appendonly yes
slaveof master 6379
3.啟動
啟動master節點
啟動slave1節點
啟動slave2節點
docker run -v /home/redis/6381/redis.conf:/usr/local/bin/redis.conf -v /home/redis/6381:/data -it --name redis-slave2 --link redis-master:master -d redis:4.0.2 redis-server /usr/local/bin/redis.conf
4.測試
master節點
docker exec -ti redis-master /bin/bash
redis-cli set name gengchong
slave節點
docker exec -ti redis-slave1 /bin/bash
redis-cli get name
四:附件
master redis.conf
點選(此處)摺疊或開啟
-
# Redis configuration file example.
-
#
-
# Note that in order to read the configuration file, Redis must be
-
# started with the file path as first argument:
-
#
-
# ./redis-server /path/to/redis.conf
-
-
# Note on units: when memory size is needed, it is possible to specify
-
# 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 => 1024*1024*1024 bytes
-
#
-
# units are case insensitive so 1GB 1Gb 1gB are all the same.
-
-
################################## INCLUDES ###################################
-
-
# Include one or more other config files here. This is useful if you
-
# have a standard template that goes to all Redis servers but also need
-
# to customize a few per-server settings. Include files can include
-
# other files, so use this wisely.
-
#
-
# Notice option "include" won't be rewritten by command "CONFIG REWRITE"
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# from admin or Redis Sentinel. Since Redis always uses the last processed
-
# line as value of a configuration directive, you'd better put includes
-
# at the beginning of this file to avoid overwriting config change at runtime.
-
#
-
# If instead you are interested in using includes to override configuration
-
# options, it is better to use include as the last line.
-
#
-
# include /path/to/local.conf
-
# include /path/to/other.conf
-
-
################################## MODULES #####################################
-
-
# Load modules at startup. If the server is not able to load modules
-
# it will abort. It is possible to use multiple loadmodule directives.
-
#
-
# loadmodule /path/to/my_module.so
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# loadmodule /path/to/other_module.so
-
-
################################## NETWORK #####################################
-
-
# By default, if no "bind" configuration directive is specified, Redis listens
-
# for connections from all the network interfaces available on the server.
-
# It is possible to listen to just one or multiple selected interfaces using
-
# the "bind" configuration directive, followed by one or more IP addresses.
-
#
-
# 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
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# 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
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# the IPv4 lookback interface address (this means Redis will be able to
-
# accept connections only from clients running into the same computer it
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# 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
-
-
# Protected mode is a layer of security protection, in order to avoid that
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# 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
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# IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
-
# sockets.
-
#
-
# By default protected mode is enabled. You should disable it only if
-
# you are sure you want clients from other hosts to connect to Redis
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# even if no authentication is configured, nor a specific set of interfaces
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# are explicitly listed using the "bind" directive.
-
#protected-mode yes
-
-
# Accept connections on the specified port, default is 6379 (IANA #815344).
-
# If port 0 is specified Redis will not listen on a TCP socket.
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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
-
-
# Close the connection after a client is idle for N seconds (0 to disable)
-
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
-
-
################################# GENERAL #####################################
-
-
# By default Redis does not run as a daemon. Use 'yes' if you need it.
-
# Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
-
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.pid
-
-
# Specify the server verbosity level.
-
# This can be one of:
-
# 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)
-
loglevel notice
-
-
# Specify the log file name. Also the empty string can be used to force
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# Redis to log on the standard output. Note that if you use standard
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# output for logging but daemonize, logs will be sent to /dev/null
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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
-
-
# Specify the syslog identity.
-
# syslog-ident redis
-
-
# Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
-
# syslog-facility local0
-
-
# Set the number of databases. The default database is DB 0, you can select
-
# a different one on a per-connection basis using SELECT <dbid> where
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# dbid is a number between 0 and 'databases'-1
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databases 16
-
-
# By default Redis shows an ASCII art logo only when started to log to the
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# standard output and if the standard output is a TTY. Basically this means
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# that normally a logo is displayed only in interactive sessions.
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#
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# However it is possible to force the pre-4.0 behavior and always show a
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# ASCII art logo in startup logs by setting the following option to yes.
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always-show-logo yes
-
-
################################ SNAPSHOTTING ################################
-
#
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# Save the DB on disk:
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#
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# save <seconds> <changes>
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#
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# Will save the DB if both the given number of seconds and the given
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# number of write operations against the DB occurred.
-
#
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# In the example below the behaviour will be to save:
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# after 900 sec (15 min) if at least 1 key changed
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# after 300 sec (5 min) if at least 10 keys changed
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# after 60 sec if at least 10000 keys changed
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#
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# Note: you can disable saving completely by commenting out all "save" lines.
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#
-
# It is also possible to remove all the previously configured save
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# points by adding a save directive with a single empty string argument
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# like in the following example:
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#
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# save ""
-
-
save 900 1
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save 300 10
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save 60 10000
-
-
# By default Redis will stop accepting writes if RDB snapshots are enabled
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# (at least one save point) and the latest background save failed.
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# This will make the user aware (in a hard way) that data is not persisting
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# on disk properly, otherwise chances are that no one will notice and some
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# disaster will happen.
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#
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# If the background saving process will start working again Redis will
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# automatically allow writes again.
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#
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# However if you have setup your proper monitoring of the Redis server
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# and persistence, you may want to disable this feature so that Redis will
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# continue to work as usual even if there are problems with disk,
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# permissions, and so forth.
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stop-writes-on-bgsave-error yes
-
-
# Compress string objects using LZF when dump .rdb databases?
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# For default that's set to 'yes' as it's almost always a win.
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# If you want to save some CPU in the saving child set it to 'no' but
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# the dataset will likely be bigger if you have compressible values or keys.
-
rdbcompression yes
-
-
# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
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# This makes the format more resistant to corruption but there is a performance
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# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
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# for maximum performances.
-
#
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# RDB files created with checksum disabled have a checksum of zero that will
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# tell the loading code to skip the check.
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rdbchecksum yes
-
-
# The filename where to dump the DB
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dbfilename dump.rdb
-
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# The working directory.
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#
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# The DB will be written inside this directory, with the filename specified
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# above using the 'dbfilename' configuration directive.
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#
-
# The Append Only File will also be created inside this directory.
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#
-
# Note that you must specify a directory here, not a file name.
-
dir ./
-
-
################################# REPLICATION #################################
-
-
# Master-Slave replication. Use slaveof to make a Redis instance a copy of
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# another Redis server. A few things to understand ASAP about Redis replication.
-
#
-
# 1) Redis replication is asynchronous, but you can configure a master to
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# stop accepting writes if it appears to be not connected with at least
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# a given number of slaves.
-
# 2) Redis slaves are able to perform a partial resynchronization with the
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# 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
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# sections of this file) with a sensible value depending on your needs.
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# 3) Replication is automatic and does not need user intervention. After a
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# network partition slaves automatically try to reconnect to masters
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# and resynchronize with them.
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#
-
slaveof master 6379
-
-
# If the master is password protected (using the "requirepass" configuration
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# directive below) it is possible to tell the slave to authenticate before
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# starting the replication synchronization process, otherwise the master will
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# refuse the slave request.
-
#
-
# masterauth <master-password>
-
-
# 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
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# an error "SYNC with master in progress" to all the kind of commands
-
# but to INFO and SLAVEOF.
-
#
-
slave-serve-stale-data yes
-
-
# You can configure a slave instance to accept writes or not. Writing against
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# a slave instance may be useful to store some ephemeral data (because data
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# written on a slave will be easily deleted after resync with the master) but
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# may also cause problems if clients are writing to it because of a
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# misconfiguration.
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#
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# Since Redis 2.6 by default slaves are read-only.
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#
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# Note: read only slaves are not designed to be exposed to untrusted clients
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# on the internet. It's just a protection layer against misuse of the instance.
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# 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
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# security of read only slaves using 'rename-command' to shadow all the
-
# administrative / dangerous commands.
-
slave-read-only yes
-
-
# Replication SYNC strategy: disk or socket.
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#
-
# -------------------------------------------------------
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# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
-
# -------------------------------------------------------
-
#
-
# New slaves and reconnecting slaves that are not able to continue the replication
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# process just receiving differences, need to do what is called a "full
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# synchronization". An RDB file is transmitted from the master to the slaves.
-
# The transmission can happen in two different ways:
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#
-
# 1) Disk-backed: The Redis master creates a new process that writes the RDB
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# file on disk. Later the file is transferred by the parent
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# process to the slaves incrementally.
-
# 2) Diskless: The Redis master creates a new process that directly writes the
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# 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.
-
#
-
# Note that slaves never free the backlog for timeout, since they may be
-
# promoted to masters later, and should be able to correctly "partially
-
# resynchronize" with the slaves: hence they should always accumulate backlog.
-
#
-
# 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 master.
-
#
-
# 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).
-
#
-
# 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.
-
#
-
#requirepass $Fortune2017
-
-
# 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.
-
-
################################### CLIENTS ####################################
-
-
# 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).
-
#
-
# Once the limit is reached Redis will close all the new connections sending
-
# an error 'max number of clients reached'.
-
#
-
# maxclients 10000
-
-
############################## MEMORY MANAGEMENT ################################
-
-
# Set a memory usage limit to 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 or LFU 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>
-
-
# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
-
# is reached. You can select among five behaviors:
-
#
-
# volatile-lru -> Evict using approximated LRU among the keys with an expire set.
-
# allkeys-lru -> Evict any key using approximated LRU.
-
# volatile-lfu -> Evict using approximated LFU among the keys with an expire set.
-
# allkeys-lfu -> Evict any key using approximated LFU.
-
# volatile-random -> Remove a random key among the ones 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 evict anything, just return an error on write operations.
-
#
-
# LRU means Least Recently Used
-
# LFU means Least Frequently Used
-
#
-
# Both LRU, LFU and volatile-ttl are implemented using approximated
-
# randomized algorithms.
-
#
-
# 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
-
-
# LRU, LFU 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 more CPU. 3 is faster but not very accurate.
-
#
-
# maxmemory-samples 5
-
-
############################# LAZY FREEING ####################################
-
-
# Redis has two primitives to delete keys. One is called DEL and is a blocking
-
# deletion of the object. It means that the server stops processing new commands
-
# in order to reclaim all the memory associated with an object in a synchronous
-
# way. If the key deleted is associated with a small object, the time needed
-
# in order to execute th DEL command is very small and comparable to most other
-
# O(1) or O(log_N) commands in Redis. However if the key is associated with an
-
# aggregated value containing millions of elements, the server can block for
-
# a long time (even seconds) in order to complete the operation.
-
#
-
# For the above reasons Redis also offers non blocking deletion primitives
-
# such as UNLINK (non blocking DEL) and the ASYNC option of FLUSHALL and
-
# FLUSHDB commands, in order to reclaim memory in background. Those commands
-
# are executed in constant time. Another thread will incrementally free the
-
# object in the background as fast as possible.
-
#
-
# DEL, UNLINK and ASYNC option of FLUSHALL and FLUSHDB are user-controlled.
-
# It's up to the design of the application to understand when it is a good
-
# idea to use one or the other. However the Redis server sometimes has to
-
# delete keys or flush the whole database as a side effect of other operations.
-
# Specifically Redis deletes objects independently of an user call in the
-
# following scenarios:
-
#
-
# 1) On eviction, because of the maxmemory and maxmemory policy configurations,
-
# in order to make room for new data, without going over the specified
-
# memory limit.
-
# 2) Because of expire: when a key with an associated time to live (see the
-
# EXPIRE command) must be deleted from memory.
-
# 3) Because of a side effect of a command that stores data on a key that may
-
# already exist. For example the RENAME command may delete the old key
-
# content when it is replaced with another one. Similarly SUNIONSTORE
-
# or SORT with STORE option may delete existing keys. The SET command
-
# itself removes any old content of the specified key in order to replace
-
# it with the specified string.
-
# 4) During replication, when a slave performs a full resynchronization with
-
# its master, the content of the whole database is removed in order to
-
# load the RDB file just transfered.
-
#
-
# In all the above cases the default is to delete objects in a blocking way,
-
# like if DEL was called. However you can configure each case specifically
-
# in order to instead release memory in a non-blocking way like if UNLINK
-
# was called, using the following configuration directives:
-
-
lazyfree-lazy-eviction no
-
lazyfree-lazy-expire no
-
lazyfree-lazy-server-del no
-
slave-lazy-flush no
-
-
############################## 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 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 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".
-
-
# 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
-
-
# When rewriting the AOF file, Redis is able to use an RDB preamble in the
-
# AOF file for faster rewrites and recoveries. When this option is turned
-
# on the rewritten AOF file is composed of two different stanzas:
-
#
-
# [RDB file][AOF tail]
-
#
-
# When loading Redis recognizes that the AOF file starts with the "REDIS"
-
# string and loads the prefixed RDB file, and continues loading the AOF
-
# tail.
-
#
-
# This is currently turned off by default in order to avoid the surprise
-
# of a format change, but will at some point be used as the default.
-
aof-use-rdb-preamble no
-
-
################################ 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
-
-
# 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 do 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 an 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.
-
-
########################## CLUSTER DOCKER/NAT support ########################
-
-
# In certain deployments, Redis Cluster nodes address discovery fails, because
-
# addresses are NAT-ted or because ports are forwarded (the typical case is
-
# Docker and other containers).
-
#
-
# In order to make Redis Cluster working in such environments, a static
-
# configuration where each node known its public address is needed. The
-
# following two options are used for this scope, and are:
-
#
-
# * cluster-announce-ip
-
# * cluster-announce-port
-
# * cluster-announce-bus-port
-
#
-
# Each instruct the node about its address, client port, and cluster message
-
# bus port. The information is then published in the header of the bus packets
-
# so that other nodes will be able to correctly map the address of the node
-
# publishing the information.
-
#
-
# If the above options are not used, the normal Redis Cluster auto-detection
-
# will be used instead.
-
#
-
# Note that when remapped, the bus port may not be at the fixed offset of
-
# clients port + 10000, so you can specify any port and bus-port depending
-
# on how they get remapped. If the bus-port is not set, a fixed offset of
-
# 10000 will be used as usually.
-
#
-
# Example:
-
#
-
# cluster-announce-ip 10.1.1.5
-
# cluster-announce-port 6379
-
# cluster-announce-bus-port 6380
-
-
################################## 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
-
-
################################ 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
-
#
-
# 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
-
-
# Redis LFU eviction (see maxmemory setting) can be tuned. However it is a good
-
# idea to start with the default settings and only change them after investigating
-
# how to improve the performances and how the keys LFU change over time, which
-
# is possible to inspect via the OBJECT FREQ command.
-
#
-
# There are two tunable parameters in the Redis LFU implementation: the
-
# counter logarithm factor and the counter decay time. It is important to
-
# understand what the two parameters mean before changing them.
-
#
-
# The LFU counter is just 8 bits per key, it's maximum value is 255, so Redis
-
# uses a probabilistic increment with logarithmic behavior. Given the value
-
# of the old counter, when a key is accessed, the counter is incremented in
-
# this way:
-
#
-
# 1. A random number R between 0 and 1 is extracted.
-
# 2. A probability P is calculated as 1/(old_value*lfu_log_factor+1).
-
# 3. The counter is incremented only if R < P.
-
#
-
# The default lfu-log-factor is 10. This is a table of how the frequency
-
# counter changes with a different number of accesses with different
-
# logarithmic factors:
-
#
-
# +--------+------------+------------+------------+------------+------------+
-
# | factor | 100 hits | 1000 hits | 100K hits | 1M hits | 10M hits |
-
# +--------+------------+------------+------------+------------+------------+
-
# | 0 | 104 | 255 | 255 | 255 | 255 |
-
# +--------+------------+------------+------------+------------+------------+
-
# | 1 | 18 | 49 | 255 | 255 | 255 |
-
# +--------+------------+------------+------------+------------+------------+
-
# | 10 | 10 | 18 | 142 | 255 | 255 |
-
# +--------+------------+------------+------------+------------+------------+
-
# | 100 | 8 | 11 | 49 | 143 | 255 |
-
# +--------+------------+------------+------------+------------+------------+
-
#
-
# NOTE: The above table was obtained by running the following commands:
-
#
-
# redis-benchmark -n 1000000 incr foo
-
# redis-cli object freq foo
-
#
-
# NOTE 2: The counter initial value is 5 in order to give new objects a chance
-
# to accumulate hits.
-
#
-
# The counter decay time is the time, in minutes, that must elapse in order
-
# for the key counter to be divided by two (or decremented if it has a value
-
# less <= 10).
-
#
-
# The default value for the lfu-decay-time is 1. A Special value of 0 means to
-
# decay the counter every time it happens to be scanned.
-
#
-
# lfu-log-factor 10
-
# lfu-decay-time 1
-
-
########################### ACTIVE DEFRAGMENTATION #######################
-
#
-
# WARNING THIS FEATURE IS EXPERIMENTAL. However it was stress tested
-
# even in production and manually tested by multiple engineers for some
-
# time.
-
#
-
# What is active defragmentation?
-
# -------------------------------
-
#
-
# Active (online) defragmentation allows a Redis server to compact the
-
# spaces left between small allocations and deallocations of data in memory,
-
# thus allowing to reclaim back memory.
-
#
-
# Fragmentation is a natural process that happens with every allocator (but
-
# less so with Jemalloc, fortunately) and certain workloads. Normally a server
-
# restart is needed in order to lower the fragmentation, or at least to flush
-
# away all the data and create it again. However thanks to this feature
-
# implemented by Oran Agra for Redis 4.0 this process can happen at runtime
-
# in an "hot" way, while the server is running.
-
#
-
# Basically when the fragmentation is over a certain level (see the
-
# configuration options below) Redis will start to create new copies of the
-
# values in contiguous memory regions by exploiting certain specific Jemalloc
-
# features (in order to understand if an allocation is causing fragmentation
-
# and to allocate it in a better place), and at the same time, will release the
-
# old copies of the data. This process, repeated incrementally for all the keys
-
# will cause the fragmentation to drop back to normal values.
-
#
-
# Important things to understand:
-
#
-
# 1. This feature is disabled by default, and only works if you compiled Redis
-
# to use the copy of Jemalloc we ship with the source code of Redis.
-
# This is the default with Linux builds.
-
#
-
# 2. You never need to enable this feature if you don't have fragmentation
-
# issues.
-
#
-
# 3. Once you experience fragmentation, you can enable this feature when
- # needed with the command "CONFIG SET activedefrag yes
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