# Redis configuration file example.
#
# Note that in order toread the configuration file,Redis must be
# started withthe file path as first argument:
#
# ./redis-server /path/to/redis.conf
# Note on units: when memory size is needed, it is possible tospecify
# it in the usual form of 1k 5GB4M 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 1GB1Gb 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 toallRedis servers but also need
# tocustomize 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"
# from admin or RedisSentinel. SinceRedis always usesthe last processed
# line as value of a configuration directive, you'd better put includes
# at the beginning of this file toavoid overwriting config change at runtime.
#
# If instead you are interested in using includes tooverride configuration
# options, it is better touse 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 toload modules
# it will abort. It is possible touse multiple loadmodule directives.
#
# loadmodule /path/to/my_module.so
# loadmodule /path/to/other_module.so
################################## NETWORK #####################################
# Bydefault,if no "bind" configuration directive is specified,Redis listens
# for connections from all the network interfaces available on the server.
# It is possible tolistentojust one or multiple selected interfaces using
# the "bind" configuration directive, followed by one or more IP addresses.
#
# Examples:
#
# bind 192.168.1.10010.0.0.1
# bind 127.0.0.1::1
#
# ~~~WARNING~~~If the computer running Redis is directly exposed tothe
# internet, binding toall the interfaces is dangerous and will expose the
# instance toeverybody on the internet. So by default we uncomment the
# following bind directive, that will force Redistolisten only into
# the IPv4 loopback interface address (this means Redis will be able to
# accept connections only from clients running into the same computer it
# is running).
#
# IFYOUARESUREYOUWANTYOURINSTANCETOLISTENTOALLTHEINTERFACES
# JUSTCOMMENTTHEFOLLOWINGLINE.
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#bind 127.0.0.1
# Protected mode is a layer of security protection, in order toavoid that
# Redis instances left openon the internet are accessed and exploited.
#
# Whenprotected mode is on and if:
#
# 1)The server is not binding explicitly toa 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.
#
# Bydefaultprotected mode is enabled. You should disable it only if
# you are sure you want clients from other hosts toconnecttoRedis
# even if no authentication is configured, nor a specific set of interfaces
# are explicitly listed using the "bind" directive.protected-mode no
# Accept connections on the specified port,default is 6379(IANA #815344).
# If port 0 is specified Redis will not listen on a TCP socket.
port 6379
# TCPlisten() backlog.
#
# In high requests-per-second environments you need an high backlog in order
# toavoid slow clients connections issues. Note that the Linux kernel
# will silently truncate it tothe value of /proc/sys/net/core/somaxconn so
# make sure toraise both the value of somaxconn and tcp_max_syn_backlog
# in order toget the desired effect.
tcp-backlog 511
# Unix socket.
#
# Specify the path for the Unix socket that will be used tolistenfor
# 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 forN seconds (0todisable)
timeout 0
# TCP keepalive.
#
# If non-zero, use SO_KEEPALIVEtosendTCPACKstoclients 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.
#
# OnLinux, the specified value (in seconds) is the period used tosendACKs.
# Note that toclose the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value forthis option is 300 seconds, which is the new
# Redisdefault starting withRedis3.2.1.
tcp-keepalive 300
################################# GENERAL #####################################
# BydefaultRedis 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 withyour
# 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=1to $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."
# Theydo not enable continuous liveness pings back toyour 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:ifRedis is not able tocreate it
# nothing bad happens, the server will start and run normally.
pidfile /var/run/redis_6379.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 toforce
# Redistolog on the standard output. Note that if you use standard
# output for logging but daemonize, logs will be sent to/dev/null
logfile ""
# To enable logging tothe system logger, just set 'syslog-enabled' toyes,
# and optionally update the other syslog parameters tosuit 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. Thedefault database is DB0, you can select
# a different one on a per-connection basis using SELECT<dbid> where
# dbid is a number between 0 and 'databases'-1
databases 16
# BydefaultRedis shows an ASCII art logo only when started tologtothe
# standard output and if the standard output is a TTY. Basicallythis means
# that normally a logo is displayed only in interactive sessions.
#
# However it is possible toforce the pre-4.0 behavior and always show a
# ASCII art logo in startup logs by setting the following option toyes.
always-show-logo yes
################################ SNAPSHOTTING ################################
#
# Save the DB on disk:
#
# save <seconds><changes>
#
# Will save the DBif both the given number of seconds and the given
# number of write operations against the DB occurred.
#
# In the example below the behaviour will be tosave:
# after 900 sec (15 min)if at least 1 key changed
# after 300 sec (5 min)if at least 10 keys changed
# after 60 sec if at least 10000 keys changed
#
# Note: you can disable saving completely by commenting out all "save" lines.
#
# It is also possible toremove all the previously configured save
# points by adding a save directive witha single empty string argument
# like in the following example:
#
# save ""
save 9001
save 30010
save 6010000
# BydefaultRedis will stop accepting writes ifRDB snapshots are enabled
# (at least one save point) and the latest background save failed.
# 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.
#
# Howeverif you have setup your proper monitoring of the Redis server
# and persistence, you may want todisablethis feature so that Redis will
# continuetowork as usual even if there are problems withdisk,
# permissions, and so forth.
stop-writes-on-bgsave-error yes
# Compress string objects using LZF when dump .rdb databases?
# Fordefault that's set to'yes' as it's almost always a win.
# If you want tosave 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
# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
# This makes the format more resistant tocorruption but there is a performance
# hit topay(around 10%) when saving and loading RDB files, so you can disable it
# for maximum performances.
#
# RDB files created withchecksum disabled have a checksum of zero that will
# tell the loading code toskip the check.
rdbchecksum yes
# The filename where todump the DB
dbfilename dump.rdb
# The working directory.
#
# TheDB will be written inside this directory,withthe filename specified
# above using the 'dbfilename' configuration directive.
#
# TheAppendOnlyFile will also be created inside this directory.
#
# Note that you must specify a directory here, not a file name.
dir ./
################################# REPLICATION #################################
# Master-Replicareplication. Use replicaof tomake a Redis instance a copy of
# another Redisserver. A few things tounderstandASAP about Redis replication.
#
# +------------------++---------------+
# |Master|--->|Replica|
# |(receive writes)||(exact copy)|
# +------------------++---------------+
#
# 1)Redis replication is asynchronous, but you can configure a master to
# stop accepting writes if it appears tobe not connected withat least
# a given number of replicas.
# 2)Redis replicas are able toperform a partial resynchronization withthe
# master if the replication link is lost for a relatively small amount of
# time. You may want toconfigure the replication backlog size (see the next
# sections of this file)witha sensible value depending on your needs.
# 3)Replication is automatic and does not need user intervention. After a
# network partition replicas automatically trytoreconnecttomasters
# and resynchronize withthem.
#
# replicaof <masterip><masterport>
# If the master is password protected(using the "requirepass" configuration
# directive below) it is possible totell the replica toauthenticate before
# starting the replication synchronization process, otherwise the master will
# refuse the replica request.
#
# masterauth <master-password>
# When a replica loses its connection withthe master, or when the replication
# is still in progress, the replica can act in two different ways:
#
# 1)if replica-serve-stale-data is set to'yes'(the default) the replica will
# still reply toclient requests, possibly without of date data, or the
# data set may just be empty ifthis is the first synchronization.
#
# 2)if replica-serve-stale-data is set to'no' the replica will reply with
# an error "SYNC with master in progress"toall the kind of commands
# but toINFO, replicaOF,AUTH,PING,SHUTDOWN,REPLCONF,ROLE,CONFIG,
# SUBSCRIBE,UNSUBSCRIBE,PSUBSCRIBE,PUNSUBSCRIBE,PUBLISH,PUBSUB,
# COMMAND,POST,HOST: and LATENCY.
#
replica-serve-stale-data yes
# You can configure a replica instance toaccept writes or not. Writing against
# a replica instance may be useful tostore some ephemeral data (because data
# written on a replica will be easily deleted after resync withthe master) but
# may also cause problems if clients are writing toit because of a
# misconfiguration.
#
# SinceRedis2.6 by default replicas are read-only.
#
# Note: read only replicas are not designed tobe exposed tountrusted clients
# on the internet. It's just a protection layer against misuse of the instance.
# Still a read only replica exportsbydefault all the administrative commands
# such as CONFIG,DEBUG, and so forth. To a limited extent you can improve
# security of read only replicas using 'rename-command' toshadow all the
# administrative / dangerous commands.
replica-read-only yes
# ReplicationSYNC strategy: disk or socket.
#
# -------------------------------------------------------
# WARNING:DISKLESSREPLICATIONISEXPERIMENTALCURRENTLY
# -------------------------------------------------------
#
# New replicas and reconnecting replicas that are not able tocontinue the replication
# process just receiving differences, need todo what is called a "full
# synchronization".AnRDB file is transmitted from the master tothe replicas.
# The transmission can happen in two different ways:
#
# 1)Disk-backed:TheRedis master creates a new process that writes the RDB
# file on disk. Later the file is transferred by the parent
# process tothe replicas incrementally.
# 2)Diskless:TheRedis master creates a new process that directly writes the
# RDB file toreplica sockets, without touching the disk at all.
#
# With disk-backed replication,while the RDB file is generated, more replicas
# can be queued and served withtheRDB file as soon as the current child producing
# the RDB file finishes its work. With diskless replication instead once
# the transfer starts,new replicas 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 replicas
# 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 toconfigure the delay
# the server waits in order tospawn the child that transfers the RDB via socket
# tothe replicas.
#
# This is important since once the transfer starts, it is not possible toserve
# new replicas arriving, that will be queued for the next RDB transfer, so the server
# waits a delay in order tolet more replicas arrive.
#
# The delay is specified in seconds, and by default is 5seconds. To disable
# it entirely just set it to0 seconds and the transfer will start ASAP.
repl-diskless-sync-delay 5
# Replicas send PINGstoserver in a predefined interval. It's possible tochange
# this interval withthe repl_ping_replica_period option. Thedefault value is 10
# seconds.
#
# repl-ping-replica-period 10
# The following option sets the replication timeout for:
#
# 1)Bulk transfer I/O during SYNC, from the point of view of replica.
# 2)Master timeout from the point of view of replicas (data, pings).
# 3)Replica timeout from the point of view of masters (REPLCONFACK pings).
#
# It is important tomake sure that this value is greater than the value
# specified for repl-ping-replica-period otherwise a timeout will be detected
# every time there is low traffic between the master and the replica.
#
# repl-timeout 60
# DisableTCP_NODELAY on the replica socket after SYNC?
#
# If you select "yes"Redis will use a smaller number of TCP packets and
# less bandwidth tosend data toreplicas.Butthis can add a delay for
# the data toappear on the replica side, up to40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data toappear on the replica side will
# be reduced but more bandwidth will be used for replication.
#
# Bydefault we optimize for low latency, but in very high traffic conditions
# or when the master and replicas are many hops away, turning thisto"yes" may
# be a good idea.
repl-disable-tcp-nodelay no
# Set the replication backlog size. The backlog is a buffer that accumulates
# replica data when replicas are disconnected for some time, so that when a replica
# wants toreconnect again, often a full resync is not needed, but a partial
# resync is enough, just passing the portion of data the replica missed while
# disconnected.
#
# The bigger the replication backlog, the longer the time the replica can be
# disconnected and later be able toperform a partial resynchronization.
#
# The backlog is only allocated once there is at least a replica connected.
#
# repl-backlog-size 1mb
# After a master has no longer connected replicas for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need toelapse, starting from the time the last replica disconnected,for
# the backlog buffer tobe freed.
#
# Note that replicas never free the backlog for timeout, since they may be
# promoted tomasters later, and should be able tocorrectly "partially
# resynchronize" withthe replicas: hence they should always accumulate backlog.
#
# A value of 0 means tonever release the backlog.
#
# repl-backlog-ttl 3600
# The replica priority is an integer number published by Redis in the INFO output.
# It is used by RedisSentinel in order toselect a replica topromote into a
# master if the master is no longer working correctly.
#
# A replica witha low priority number is considered better for promotion, so
# for instance if there are three replicas withpriority10,100,25Sentinel will
# pick the one withpriority10, that is the lowest.
#
# However a special priority of 0 marks the replica as not able toperform the
# role of master, so a replica withpriority of 0 will never be selected by
# RedisSentinelfor promotion.
#
# Bydefault the priority is 100.
replica-priority 100
# It is possible for a master tostop accepting writes if there are less than
# N replicas connected, having a lag less or equal than M seconds.
#
# TheN replicas need tobe in "online" state.
#
# The lag in seconds, that must be <= the specified value, is calculated from
# the last ping received from the replica, 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 replicas
# are available,tothe specified number of seconds.
#
# For example torequire at least 3 replicas witha lag <=10 seconds use:
#
# min-replicas-to-write 3
# min-replicas-max-lag 10
#
# Setting one or the other to0 disables the feature.
#
# Bydefault min-replicas-to-write is set to0(feature disabled) and
# min-replicas-max-lag is set to10.
# ARedis master is able tolist the address and port of the attached
# replicas in different ways. For example the "INFO replication" section
# offers this information, which is used, among other tools, by
# RedisSentinel in order todiscover replica 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 replica is obtained
# in the following way:
#
# IP:The address is auto detected by checking the peer address
# of the socket used by the replica toconnectwiththe master.
#
# Port:The port is communicated by the replica during the replication
# handshake, and is normally the port that the replica is using to
# listen for connections.
#
# However when port forwarding or NetworkAddressTranslation(NAT) is
# used, the replica may be actually reachable via different IP and port
# pairs. The following two options can be used by a replica in order to
# report toits master a specific set of IP and port, so that both INFO
# and ROLE will report those values.
#
# There is no need touse both the options if you need tooverride just
# the port or the IP address.
#
# replica-announce-ip 5.5.5.5
# replica-announce-port 1234
################################## SECURITY ###################################
# Require clients toissueAUTH<PASSWORD> before processing any other
# commands. This might be useful in environments in which you do not trust
# others withaccesstothe 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 tobreak.
#
# requirepass foobared
# Command renaming.
#
# It is possible tochange the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard toguess 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 tocompletely 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 toreplicas may cause problems.
################################### CLIENTS ####################################
# Set the max number of connected clients at the same time. Bydefault
# this limit is set to10000 clients, however if the Redis server is not
# able toconfigure the process file limit toallowfor the specified limit
# the max number of allowed clients is set tothe 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
############################## MEMORYMANAGEMENT ################################
# Set a memory usage limit tothe specified amount of bytes.
# When the memory limit is reached Redis will trytoremove keys
# according tothe eviction policy selected (see maxmemory-policy).
#
# IfRedis can't remove keys according tothe policy, or if the policy is
# set to 'noeviction',Redis will start toreplywitherrorstocommands
# that would use more memory, like SET,LPUSH, and so on, and will continue
# toreplytoread-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 replicas attached toan instance withmaxmemory on,
# the size of the output buffers needed tofeed the replicas 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 replicas is full withDELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# Inshort...if you have replicas attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for replica
# output buffers (but this is not needed if the policy is 'noeviction').
#
# maxmemory <bytes>
# MAXMEMORYPOLICY: how Redis will select what toremove when maxmemory
# is reached. You can select among five behaviors:
#
# volatile-lru ->Evict using approximated LRU among the keys withan expire set.
# allkeys-lru ->Evict any key using approximated LRU.
# volatile-lfu ->Evict using approximated LFU among the keys withan expire set.
# allkeys-lfu ->Evict any key using approximated LFU.
# volatile-random ->Remove a random key among the ones withan expire set.
# allkeys-random ->Remove a random key, any key.
# volatile-ttl ->Remove the key withthe nearest expire time (minor TTL)
# noeviction ->Don't evict anything, just return an error on write operations.
#
# LRU means LeastRecentlyUsed
# LFU means LeastFrequentlyUsed
#
# BothLRU,LFU and volatile-ttl are implemented using approximated
# randomized algorithms.
#
# Note:withany 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
#
# Thedefault is:
#
# maxmemory-policy noeviction
# LRU,LFU and minimal TTL algorithms are not precise algorithms but approximated
# algorithms (in order tosave memory), so you can tune it for speed or
# accuracy. FordefaultRedis will check five keys and pick the one that was
# used less recently, you can change the sample size using the following
# configuration directive.
#
# Thedefault of 5 produces good enough results.10Approximates very closely
# trueLRU but costs more CPU.3 is faster but not very accurate.
#
# maxmemory-samples 5
# Starting from Redis5, by default a replica will ignore its maxmemory setting
# (unless it is promoted tomaster after a failover or manually).It means
# that the eviction of keys will be just handled by the master, sending the
# DEL commands tothe replica as keys evict in the master side.
#
# This behavior ensures that masters and replicas stay consistent, and is usually
# what you want, however if your replica is writable, or you want the replica tohave
# a different memory setting, and you are sure all the writes performed tothe
# replica are idempotent, then you may change thisdefault(but be sure tounderstand
# what you are doing).
#
# Note that since the replica by default does not evict, it may end using more
# memory than the one set via maxmemory (there are certain buffers that may
# be larger on the replica, or data structures may sometimes take more memory and so
# forth).So make sure you monitor your replicas and make sure they have enough
# memory tonever hit a real out-of-memory condition before the master hits
# the configured maxmemory setting.
#
# replica-ignore-maxmemory yes
############################# LAZYFREEING ####################################
# Redis has two primitives todeletekeys. One is called DEL and is a blocking
# deletion of the object. It means that the server stops processing new commands
# in order toreclaim all the memory associated withan object in a synchronous
# way. If the key deleted is associated witha small object, the time needed
# in order toexecute the DEL command is very small and comparable tomost other
# O(1) or O(log_N) commands in Redis. Howeverif the key is associated withan
# aggregated value containing millions of elements, the server can block for
# a long time (even seconds) in order tocomplete 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 toreclaim 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 tothe design of the application tounderstand when it is a good
# idea touse 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.
# SpecificallyRedis deletes objects independently of a user call in the
# following scenarios:
#
# 1)On eviction, because of the maxmemory and maxmemory policy configurations,
# in order tomake room fornew data, without going over the specified
# memory limit.
# 2)Because of expire: when a key withan associated time tolive(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 withanotherone. SimilarlySUNIONSTORE
# or SORTwithSTORE option may delete existing keys. TheSET command
# itself removes any old content of the specified key in order toreplace
# it withthe specified string.
# 4)During replication, when a replica performs a full resynchronization with
# its master, the content of the whole database is removed in order to
# load the RDB file just transferred.
#
# In all the above cases the default is todelete objects in a blocking way,
# like ifDEL was called. However you can configure each case specifically
# in order toinstead release memory in a non-blocking way like ifUNLINK
# was called, using the following configuration directives:
lazyfree-lazy-eviction no
lazyfree-lazy-expire no
lazyfree-lazy-server-del no
replica-lazy-flush no
############################## APPENDONLYMODE ###############################
# BydefaultRedis asynchronously dumps the dataset on disk. This mode is
# good enough in many applications, but an issue withtheRedis process or
# a power outage may result into a few minutes of writes lost (depending on
# the configured save points).
#
# TheAppendOnlyFile 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 withtheRedis 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
# withthe better durability guarantees.
#
# Please check http://redis.io/topics/persistence for more information.
appendonly no
# The name of the append only file (default:"appendonly.aof")
appendfilename "appendonly.aof"
# Thefsync() call tells the OperatingSystemtoactually write data on disk
# instead of waiting for more data in the output buffer. SomeOS will really flush
# data on disk, some other OS will just trytodo 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 tothe append only log. Slow,Safest.
# everysec: fsync only one time every second. Compromise.
#
# Thedefault is "everysec", as that's usually the right compromise between
# speed and data safety. It's up toyoutounderstandif you can relax thisto
# "no" that will let the operating system flush the output buffer when
# it wants,for better performances (but if you can live withthe 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 toalways 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 tomitigatethis problem it's possible touse 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 tolose up to30 seconds of log in the worst scenario (withthe
# defaultLinux settings).
#
# If you have latency problems turn thisto"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 toautomatically 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 tothe current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need tospecify a minimal size for the AOF file tobe rewritten,this
# is useful toavoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order todisable the automatic AOF
# rewrite feature.
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
# AnAOF file may be found tobe 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 withan error when this happens, or load as much
# data as possible (the default now) and start if the AOF file is found
# tobe truncated at the end. The following option controls this behavior.
#
# If aof-load-truncated is set toyes, a truncated AOF file is loaded and
# the Redis server starts emitting a log toinform the user of the event.
# Otherwiseif the option is set tono, the server aborts withan error
# and refuses tostart.When the option is set tono, the user requires
# tofix the AOF file using the "redis-check-aof" utility before torestart
# the server.
#
# Note that if the AOF file will be found tobe corrupted in the middle
# the server will still exit withanerror. This option only applies when
# Redis will trytoread 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 touse an RDB preamble in the
# AOF file for faster rewrites and recoveries. Whenthis 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 withthe"REDIS"
# string and loads the prefixed RDB file, and continues loading the AOF
# tail.
aof-use-rdb-preamble yes
################################ LUASCRIPTING ###############################
# 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 toquerieswithan error.
#
# When a long running script exceeds the maximum execution time only the
# SCRIPTKILL and SHUTDOWNNOSAVE commands are available. The first can be
# used tostop a script that did not yet called write commands. The second
# is the only way toshut down the server in the case a write command was
# already issued by the script but the user doesn't want towaitfor the natural
# termination of the script.
#
# Set it to0 or a negative value for unlimited execution without warnings.
lua-time-limit 5000
################################ REDISCLUSTER ###############################
# NormalRedis instances can't be part of a RedisCluster; only nodes that are
# started as cluster nodes can. In order tostart 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 tobe edited by hand. It is created and updated by Redis nodes.
# EveryRedisCluster node requiresa 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 tobe considered in failure state.
# Most other internal time limits are multiple of the node timeout.
#
# cluster-node-timeout 15000
# A replica of a failing master will avoid tostart a failover if its data
# looks too old.
#
# There is no simple way for a replica toactually have an exact measure of
# its "data age", so the following two checks are performed:
#
# 1)If there are multiple replicas able tofailover, they exchange messages
# in order totrytogive an advantage tothe replica withthe best
# replication offset (more data from the master processed).
# Replicas will trytoget their rank by offset, and apply tothe start
# of the failover a delay proportional totheir rank.
#
# 2)Every single replica 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 withthe master (if the replication link is currently down).
# If the last interaction is too old, the replica will not trytofailover
# at all.
#
# The point "2" can be tuned by user. Specifically a replica will not perform
# the failover if, since the last interaction withthe master, the time
# elapsed is greater than:
#
# (node-timeout * replica-validity-factor)+ repl-ping-replica-period
#
# Sofor example if node-timeout is 30 seconds, and the replica-validity-factor
# is 10, and assuming a default repl-ping-replica-period of 10 seconds, the
# replica will not trytofailoverif it was not able totalkwiththe master
# for longer than 310 seconds.
#
# A large replica-validity-factor may allow replicas withtoo old data tofailover
# a master,while a too small value may prevent the cluster from being able to
# elect a replica at all.
#
# For maximum availability, it is possible toset the replica-validity-factor
# toa value of 0, which means, that replicas will always trytofailover the
# master regardless of the last time they interacted withthe master.
# (However they'll always trytoapply a delay proportional totheir
# offset rank).
#
# Zero is the only value able toguarantee that when all the partitions heal
# the cluster will always be able tocontinue.
#
# cluster-replica-validity-factor 10
# Cluster replicas are able tomigratetoorphaned masters, that are masters
# that are left without working replicas. This improves the cluster ability
# toresisttofailures as otherwise an orphaned master can't be failed over
# in case of failure if it has no working replicas.
#
# Replicas migrate toorphaned masters only if there are still at least a
# given number of other working replicas for their old master. This number
# is the "migration barrier".A migration barrier of 1 means that a replica
# will migrate only if there is at least 1 other working replica for its master
# and so forth. It usually reflects the number of replicas you want for every
# master in your cluster.
#
# Default is 1(replicas migrate only if their masters remain withat least
# one replica).To disable migration just set it toa very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1
# BydefaultRedisCluster 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,
# tocontinuetoaccept queries for the part of the key space that is still
# covered. In order todo so, just set the cluster-require-full-coverage
# option tono.
#
# cluster-require-full-coverage yes
# This option, when set toyes, prevents replicas from trying tofailover its
# master during master failures. However the master can still perform a
# manual failover,if forced todo so.
#
# This is useful in different scenarios, especially in the case of multiple
# data center operations, where we want one side tonever be promoted if not
# in the case of a total DC failure.
#
# cluster-replica-no-failover no
# In order tosetup your cluster make sure toread the documentation
# available at http://redis.io web site.
########################## CLUSTERDOCKER/NAT support ########################
# In certain deployments,RedisCluster nodes address discovery fails, because
# addresses are NAT-ted or because ports are forwarded (the typical case is
# Docker and other containers).
#
# In order tomakeRedisCluster working in such environments, a static
# configuration where each node knows its public address is needed. The
# following two options are used forthis 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 tocorrectly map the address of the node
# publishing the information.
#
# If the above options are not used, the normal RedisCluster 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
################################## SLOWLOG ###################################
# TheRedisSlowLog is a system tolog queries that exceeded a specified
# execution time. The execution time does not include the I/O operations
# like talking withthe client, sending the reply and so forth,
# but just the time needed toactually 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 withtwo parameters: one tells Redis
# what is the execution time, in microseconds,toexceed in order for the
# command toget 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
# toonesecond. 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 tothislength. Just be aware that it will consume memory.
# You can reclaim memory used by the slow log withSLOWLOGRESET.
slowlog-max-len 128
################################ LATENCYMONITOR ##############################
# TheRedis latency monitoring subsystem samples different operations
# at runtime in order tocollect data related topossible sources of
# latency of a Redis instance.
#
# Via the LATENCY command this information is available tothe 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
# tozero, the latency monitor is turned off.
#
# Bydefault 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
############################# EVENTNOTIFICATION ##############################
# 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 Database0, two
# messages will be published via Pub/Sub:
#
# PUBLISH __keyspace@0__:foo del
# PUBLISH __keyevent@0__:del foo
#
# It is possible toselect the events that Redis will notify among a set
# of classes. Everyclass is identified by a single character:
#
# KKeyspace events, published with __keyspace@<db>__ prefix.
# EKeyevent 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)
# AAliasfor 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:toenable list and generic events, from the point of view of the
# event name, use:
#
# notify-keyspace-events Elg
#
# Example2:toget the stream of the expired keys subscribing tochannel
# name __keyevent@0__:expired use:
#
notify-keyspace-events Ex
#
# Bydefault 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 ""
############################### ADVANCEDCONFIG ###############################
# 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 tosave 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:64Kb<-- not recommended for normal workloads
# -4: max size:32Kb<-- not recommended
# -3: max size:16Kb<-- probably not recommended
# -2: max size:8Kb<-- good
# -1: max size:4Kb<-- good
# Positive numbers mean store up to _exactly_ that number of elements
# per list node.
# The highest performing option is usually -2(8Kb size) or -1(4Kb 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 tobe 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 tousethis special memory saving encoding.
set-max-intset-entries 512
# Similarlytohashes and lists, sorted sets are also specially encoded in
# order tosave 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 tohave the benefits of
# the space efficient encoding without slowing down too much PFADD,
# which is O(N)withthe 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 HyperLogLogswithcardinality in the 0-15000 range.
hll-sparse-max-bytes 3000
# Streams macro node max size /items. The stream data structure is a radix
# tree of big nodes that encode multiple items inside. Usingthis configuration
# it is possible toconfigure how big a single node can be in bytes, and the
# maximum number of items it may contain before switching toanew node when
# appending new stream entries. If any of the following settings are set to
# zero, the limit is ignored, so for instance it is possible toset just a
# max entires limit by setting max-bytes to0 and max-entries tothe desired
# value.
stream-node-max-bytes 4096
stream-node-max-entries 100
# Active rehashing uses1 millisecond every 100 milliseconds of CPU time in
# order tohelp rehashing the main Redis hash table (the one mapping top-level
# keys tovalues).The hash table implementation Redisuses(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.
#
# Thedefault is tousethis 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 totime
# toquerieswith2 milliseconds delay.
#
# use "activerehashing yes"if you don't have such hard requirements but
# want tofree memory asap when possible.
activerehashing yes
# The client output buffer limits can be used toforce 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
# replica -> replica clients
# pubsub -> clients subscribed toat 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).
# Sofor 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 for10 seconds.
#
# Bydefault 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 replica clients, since
# subscribers and replicas receive data in a push fashion.
#
# Both the hard or the soft limit can be disabled by setting them tozero.
client-output-buffer-limit normal 000
client-output-buffer-limit replica 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
# Client query buffers accumulate newcommands. They are limited toa fixed
# amount by default in order toavoid that a protocol desynchronization (for
# instance due toa bug in the client) will lead tounbound memory usage in
# the query buffer. However you can configure it here if you have very special
# needs, such us huge multi/exec requests or alike.
#
# client-query-buffer-limit 1gb
# In the Redis protocol, bulk requests, that are, elements representing single
# strings, are normally limited ot 512mb. However you can change this limit
# here.
#
# proto-max-bulk-len 512mb
# Redis calls an internal function toperform 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 withthe same frequency, but Redis checks for
# tasks toperform according tothe specified "hz" value.
#
# Bydefault"hz" is set to10.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 withmore 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
# Normally it is useful tohave an HZ value which is proportional tothe
# number of clients connected. This is useful in order,for instance,to
# avoid too many clients are processed for each background task invocation
# in order toavoid latency spikes.
#
# Since the defaultHZ value by default is conservatively set to10,Redis
# offers, and enables by default, the ability touse an adaptive HZ value
# which will temporary raise when there are many connected clients.
#
# When dynamic HZ is enabled, the actual configured HZ will be used as
# as a baseline, but multiples of the configured HZ value will be actually
# used as needed once more clients are connected. Inthis way an idle
# instance will use very little CPU time while a busy instance will be
# more responsive.
dynamic-hz yes
# When a child rewrites the AOF file,if the following option is enabled
# the file will be fsync-ed every 32MB of data generated. This is useful
# in order tocommit the file tothe disk more incrementally and avoid
# big latency spikes.
aof-rewrite-incremental-fsync yes
# When redis saves RDB file,if the following option is enabled
# the file will be fsync-ed every 32MB of data generated. This is useful
# in order tocommit the file tothe disk more incrementally and avoid
# big latency spikes.
rdb-save-incremental-fsync yes
# RedisLFU eviction (see maxmemory setting) can be tuned. However it is a good
# idea tostartwiththedefault settings and only change them after investigating
# how toimprove the performances and how the keys LFU change over time, which
# is possible toinspect via the OBJECTFREQ command.
#
# There are two tunable parameters in the RedisLFU implementation: the
# counter logarithm factor and the counter decay time. It is important to
# understand what the two parameters mean before changing them.
#
# TheLFU counter is just 8 bits per key, it's maximum value is 255, so Redis
# usesa probabilistic increment withlogarithmicbehavior. 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 ifR<P.
#
# Thedefault lfu-log-factor is 10.This is a table of how the frequency
# counter changes witha different number of accesses withdifferent
# 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
#
# NOTE2:The counter initial value is 5 in order togivenew objects a chance
# toaccumulate hits.
#
# The counter decay time is the time, in minutes, that must elapse in order
# for the key counter tobe divided by two (or decremented if it has a value
# less <=10).
#
# Thedefault value for the lfu-decay-time is 1.ASpecial value of 0 means to
# decay the counter every time it happens tobe scanned.
#
# lfu-log-factor 10
# lfu-decay-time 1
########################### ACTIVEDEFRAGMENTATION #######################
#
# WARNINGTHISFEATUREISEXPERIMENTAL. 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 tocompact the
# spaces left between small allocations and deallocations of data in memory,
# thus allowing toreclaim back memory.
#
# Fragmentation is a natural process that happens withevery allocator (but
# less so withJemalloc, fortunately) and certain workloads. Normally a server
# restart is needed in order tolower the fragmentation, or at least toflush
# away all the data and create it again. However thanks tothis feature
# implemented by OranAgraforRedis4.0this 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 tocreatenew copies of the
# values in contiguous memory regions by exploiting certain specific Jemalloc
# features (in order tounderstandif an allocation is causing fragmentation
# and toallocate 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 todrop back tonormal values.
#
# Important things tounderstand:
#
# 1.This feature is disabled by default, and only works if you compiled Redis
# touse the copy of Jemalloc we ship withthe source code of Redis.
# This is the defaultwithLinux builds.
#
# 2.You never need toenablethis feature if you don't have fragmentation
# issues.
#
# 3.Once you experience fragmentation, you can enable this feature when
# needed withthe command "CONFIG SET activedefrag yes".
#
# The configuration parameters are able tofine tune the behavior of the
# defragmentation process. If you are not sure about what they mean it is
# a good idea toleave the defaults untouched.
# Enabled active defragmentation
# activedefrag yes
# Minimum amount of fragmentation waste tostart active defrag
# active-defrag-ignore-bytes 100mb
# Minimum percentage of fragmentation tostart active defrag
# active-defrag-threshold-lower 10
# Maximum percentage of fragmentation at which we use maximum effort
# active-defrag-threshold-upper 100
# Minimal effort for defrag in CPU percentage
# active-defrag-cycle-min 5
# Maximal effort for defrag in CPU percentage
# active-defrag-cycle-max 75
# Maximum number of set/hash/zset/list fields that will be processed from
# the main dictionary scan
# active-defrag-max-scan-fields 1000