948a213847
The redis-server package on Xenial uses version 3.0.6 so add an option for that and copy the new config file. Change-Id: I73f4a65eb4942a0291f8e6785ab7b894edec0e66
949 lines
41 KiB
Plaintext
949 lines
41 KiB
Plaintext
# 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"
|
|
# 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
|
|
|
|
################################ 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 yes
|
|
|
|
# When running daemonized, Redis writes a pid file in /var/run/redis.pid by
|
|
# default. You can specify a custom pid file location here.
|
|
pidfile /var/run/redis/redis-server.pid
|
|
|
|
# Accept connections on the specified port, default is 6379.
|
|
# If port 0 is specified Redis will not listen on a TCP socket.
|
|
port <%= @redis_port %>
|
|
|
|
# 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
|
|
|
|
# By default Redis listens for connections from all the network interfaces
|
|
# available on the server. It is possible to listen to just one or multiple
|
|
# interfaces using the "bind" configuration directive, followed by one or
|
|
# more IP addresses.
|
|
#
|
|
# Examples:
|
|
#
|
|
# bind 192.168.1.100 10.0.0.1
|
|
bind <%= @redis_bind %>
|
|
|
|
# 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 /var/run/redis/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 60 seconds.
|
|
tcp-keepalive 0
|
|
|
|
# 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
|
|
# Redis to log on the standard output. Note that if you use standard
|
|
# output for logging but daemonize, logs will be sent to /dev/null
|
|
logfile /var/log/redis/redis-server.log
|
|
|
|
# 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
|
|
# dbid is a number between 0 and 'databases'-1
|
|
databases 16
|
|
|
|
################################ SNAPSHOTTING ################################
|
|
#
|
|
# Save the DB on disk:
|
|
#
|
|
# save <seconds> <changes>
|
|
#
|
|
# Will save the DB if 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 to save:
|
|
# 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 to remove all the previously configured save
|
|
# points by adding a save directive with a single empty string argument
|
|
# like in the following example:
|
|
#
|
|
# save ""
|
|
|
|
save 900 1
|
|
save 300 10
|
|
save 60 10000
|
|
|
|
# By default Redis will stop accepting writes if RDB 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.
|
|
#
|
|
# However if you have setup your proper monitoring of the Redis server
|
|
# and persistence, you may want to disable this feature so that Redis will
|
|
# continue to work as usual even if there are problems with disk,
|
|
# permissions, and so forth.
|
|
stop-writes-on-bgsave-error yes
|
|
|
|
# Compress string objects using LZF when dump .rdb databases?
|
|
# For default that's set to 'yes' as it's almost always a win.
|
|
# If you want to save some CPU in the saving child set it to 'no' but
|
|
# the dataset will likely be bigger if you have compressible values or keys.
|
|
rdbcompression yes
|
|
|
|
# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
|
|
# This makes the format more resistant to corruption but there is a performance
|
|
# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
|
|
# for maximum performances.
|
|
#
|
|
# RDB files created with checksum disabled have a checksum of zero that will
|
|
# tell the loading code to skip the check.
|
|
rdbchecksum yes
|
|
|
|
# The filename where to dump the DB
|
|
dbfilename dump.rdb
|
|
|
|
# The working directory.
|
|
#
|
|
# The DB will be written inside this directory, with the filename specified
|
|
# above using the 'dbfilename' configuration directive.
|
|
#
|
|
# The Append Only File will also be created inside this directory.
|
|
#
|
|
# Note that you must specify a directory here, not a file name.
|
|
dir /var/lib/redis
|
|
|
|
################################# REPLICATION #################################
|
|
|
|
# Master-Slave replication. Use slaveof to make a Redis instance a copy of
|
|
# another Redis server. A few things to understand ASAP about Redis replication.
|
|
#
|
|
# 1) Redis replication is asynchronous, but you can configure a master to
|
|
# stop accepting writes if it appears to be not connected with at least
|
|
# a given number of slaves.
|
|
# 2) Redis slaves are able to perform a partial resynchronization with the
|
|
# master if the replication link is lost for a relatively small amount of
|
|
# time. You may want to configure the replication backlog size (see the next
|
|
# sections of this file) with a sensible value depending on your needs.
|
|
# 3) Replication is automatic and does not need user intervention. After a
|
|
# network partition slaves automatically try to reconnect to masters
|
|
# and resynchronize with them.
|
|
#
|
|
# slaveof <masterip> <masterport>
|
|
|
|
# If the master is password protected (using the "requirepass" configuration
|
|
# directive below) it is possible to tell the slave to authenticate before
|
|
# starting the replication synchronization process, otherwise the master will
|
|
# refuse the slave request.
|
|
#
|
|
# masterauth <master-password>
|
|
|
|
# When a slave loses its connection with the master, or when the replication
|
|
# is still in progress, the slave can act in two different ways:
|
|
#
|
|
# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
|
|
# still reply to client requests, possibly with out of date data, or the
|
|
# data set may just be empty if this is the first synchronization.
|
|
#
|
|
# 2) if slave-serve-stale-data is set to 'no' the slave will reply with
|
|
# an error "SYNC with master in progress" to all the kind of commands
|
|
# but to INFO and SLAVEOF.
|
|
#
|
|
slave-serve-stale-data yes
|
|
|
|
# You can configure a slave instance to accept writes or not. Writing against
|
|
# a slave instance may be useful to store some ephemeral data (because data
|
|
# written on a slave will be easily deleted after resync with the master) but
|
|
# may also cause problems if clients are writing to it because of a
|
|
# misconfiguration.
|
|
#
|
|
# Since Redis 2.6 by default slaves are read-only.
|
|
#
|
|
# Note: read only slaves are not designed to be exposed to untrusted clients
|
|
# on the internet. It's just a protection layer against misuse of the instance.
|
|
# Still a read only slave exports by default all the administrative commands
|
|
# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
|
|
# security of read only slaves using 'rename-command' to shadow all the
|
|
# administrative / dangerous commands.
|
|
slave-read-only yes
|
|
|
|
# Replication SYNC strategy: disk or socket.
|
|
#
|
|
# -------------------------------------------------------
|
|
# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
|
|
# -------------------------------------------------------
|
|
#
|
|
# New slaves and reconnecting slaves that are not able to continue the replication
|
|
# process just receiving differences, need to do what is called a "full
|
|
# synchronization". An RDB file is transmitted from the master to the slaves.
|
|
# The transmission can happen in two different ways:
|
|
#
|
|
# 1) Disk-backed: The Redis master creates a new process that writes the RDB
|
|
# file on disk. Later the file is transferred by the parent
|
|
# process to the slaves incrementally.
|
|
# 2) Diskless: The Redis master creates a new process that directly writes the
|
|
# RDB file to slave sockets, without touching the disk at all.
|
|
#
|
|
# With disk-backed replication, while the RDB file is generated, more slaves
|
|
# can be queued and served with the RDB file as soon as the current child producing
|
|
# the RDB file finishes its work. With diskless replication instead once
|
|
# the transfer starts, new slaves arriving will be queued and a new transfer
|
|
# will start when the current one terminates.
|
|
#
|
|
# When diskless replication is used, the master waits a configurable amount of
|
|
# time (in seconds) before starting the transfer in the hope that multiple slaves
|
|
# will arrive and the transfer can be parallelized.
|
|
#
|
|
# With slow disks and fast (large bandwidth) networks, diskless replication
|
|
# works better.
|
|
repl-diskless-sync no
|
|
|
|
# When diskless replication is enabled, it is possible to configure the delay
|
|
# the server waits in order to spawn the child that transfers the RDB via socket
|
|
# to the slaves.
|
|
#
|
|
# This is important since once the transfer starts, it is not possible to serve
|
|
# new slaves arriving, that will be queued for the next RDB transfer, so the server
|
|
# waits a delay in order to let more slaves arrive.
|
|
#
|
|
# The delay is specified in seconds, and by default is 5 seconds. To disable
|
|
# it entirely just set it to 0 seconds and the transfer will start ASAP.
|
|
repl-diskless-sync-delay 5
|
|
|
|
# Slaves send PINGs to server in a predefined interval. It's possible to change
|
|
# this interval with the repl_ping_slave_period option. The default value is 10
|
|
# seconds.
|
|
#
|
|
# repl-ping-slave-period 10
|
|
|
|
# The following option sets the replication timeout for:
|
|
#
|
|
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
|
|
# 2) Master timeout from the point of view of slaves (data, pings).
|
|
# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
|
|
#
|
|
# It is important to make sure that this value is greater than the value
|
|
# specified for repl-ping-slave-period otherwise a timeout will be detected
|
|
# every time there is low traffic between the master and the slave.
|
|
#
|
|
# repl-timeout 60
|
|
|
|
# Disable TCP_NODELAY on the slave socket after SYNC?
|
|
#
|
|
# If you select "yes" Redis will use a smaller number of TCP packets and
|
|
# less bandwidth to send data to slaves. But this can add a delay for
|
|
# the data to appear on the slave side, up to 40 milliseconds with
|
|
# Linux kernels using a default configuration.
|
|
#
|
|
# If you select "no" the delay for data to appear on the slave side will
|
|
# be reduced but more bandwidth will be used for replication.
|
|
#
|
|
# By default we optimize for low latency, but in very high traffic conditions
|
|
# or when the master and slaves are many hops away, turning this to "yes" may
|
|
# be a good idea.
|
|
repl-disable-tcp-nodelay no
|
|
|
|
# Set the replication backlog size. The backlog is a buffer that accumulates
|
|
# slave data when slaves are disconnected for some time, so that when a slave
|
|
# wants to reconnect again, often a full resync is not needed, but a partial
|
|
# resync is enough, just passing the portion of data the slave missed while
|
|
# disconnected.
|
|
#
|
|
# The bigger the replication backlog, the longer the time the slave can be
|
|
# disconnected and later be able to perform a partial resynchronization.
|
|
#
|
|
# The backlog is only allocated once there is at least a slave connected.
|
|
#
|
|
# repl-backlog-size 1mb
|
|
|
|
# After a master has no longer connected slaves for some time, the backlog
|
|
# will be freed. The following option configures the amount of seconds that
|
|
# need to elapse, starting from the time the last slave disconnected, for
|
|
# the backlog buffer to be freed.
|
|
#
|
|
# A value of 0 means to never release the backlog.
|
|
#
|
|
# repl-backlog-ttl 3600
|
|
|
|
# The slave priority is an integer number published by Redis in the INFO output.
|
|
# It is used by Redis Sentinel in order to select a slave to promote into a
|
|
# master if the master is no longer working correctly.
|
|
#
|
|
# A slave with a low priority number is considered better for promotion, so
|
|
# for instance if there are three slaves with priority 10, 100, 25 Sentinel will
|
|
# pick the one with priority 10, that is the lowest.
|
|
#
|
|
# However a special priority of 0 marks the slave as not able to perform the
|
|
# role of master, so a slave with priority of 0 will never be selected by
|
|
# Redis Sentinel for promotion.
|
|
#
|
|
# By default the priority is 100.
|
|
slave-priority 100
|
|
|
|
# It is possible for a master to stop accepting writes if there are less than
|
|
# N slaves connected, having a lag less or equal than M seconds.
|
|
#
|
|
# The N slaves need to be in "online" state.
|
|
#
|
|
# The lag in seconds, that must be <= the specified value, is calculated from
|
|
# the last ping received from the slave, that is usually sent every second.
|
|
#
|
|
# This option does not GUARANTEE that N replicas will accept the write, but
|
|
# will limit the window of exposure for lost writes in case not enough slaves
|
|
# are available, to the specified number of seconds.
|
|
#
|
|
# For example to require at least 3 slaves with a lag <= 10 seconds use:
|
|
#
|
|
# min-slaves-to-write 3
|
|
# min-slaves-max-lag 10
|
|
#
|
|
# Setting one or the other to 0 disables the feature.
|
|
#
|
|
# By default min-slaves-to-write is set to 0 (feature disabled) and
|
|
# min-slaves-max-lag is set to 10.
|
|
|
|
################################## 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 foobared
|
|
<% if @redis_password != nil %>
|
|
requirepass <%= @redis_password %>
|
|
<% end %>
|
|
|
|
# Command renaming.
|
|
#
|
|
# It is possible to change the name of dangerous commands in a shared
|
|
# environment. For instance the CONFIG command may be renamed into something
|
|
# hard to guess so that it will still be available for internal-use tools
|
|
# but not available for general clients.
|
|
#
|
|
# Example:
|
|
#
|
|
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
|
|
#
|
|
# It is also possible to completely kill a command by renaming it into
|
|
# an empty string:
|
|
#
|
|
# rename-command CONFIG ""
|
|
#
|
|
# Please note that changing the name of commands that are logged into the
|
|
# AOF file or transmitted to slaves may cause problems.
|
|
|
|
################################### LIMITS ####################################
|
|
|
|
# Set the max number of connected clients at the same time. By default
|
|
# this limit is set to 10000 clients, however if the Redis server is not
|
|
# able to configure the process file limit to allow for the specified limit
|
|
# the max number of allowed clients is set to the current file limit
|
|
# minus 32 (as Redis reserves a few file descriptors for internal uses).
|
|
#
|
|
# Once the limit is reached Redis will close all the new connections sending
|
|
# an error 'max number of clients reached'.
|
|
#
|
|
# maxclients 10000
|
|
|
|
# Don't use more memory than the specified amount of bytes.
|
|
# When the memory limit is reached Redis will try to remove keys
|
|
# according to the eviction policy selected (see maxmemory-policy).
|
|
#
|
|
# If Redis can't remove keys according to the policy, or if the policy is
|
|
# set to 'noeviction', Redis will start to reply with errors to commands
|
|
# that would use more memory, like SET, LPUSH, and so on, and will continue
|
|
# to reply to read-only commands like GET.
|
|
#
|
|
# This option is usually useful when using Redis as an LRU cache, or to set
|
|
# a hard memory limit for an instance (using the 'noeviction' policy).
|
|
#
|
|
# WARNING: If you have slaves attached to an instance with maxmemory on,
|
|
# the size of the output buffers needed to feed the slaves are subtracted
|
|
# from the used memory count, so that network problems / resyncs will
|
|
# not trigger a loop where keys are evicted, and in turn the output
|
|
# buffer of slaves is full with DELs of keys evicted triggering the deletion
|
|
# of more keys, and so forth until the database is completely emptied.
|
|
#
|
|
# In short... if you have slaves attached it is suggested that you set a lower
|
|
# limit for maxmemory so that there is some free RAM on the system for slave
|
|
# output buffers (but this is not needed if the policy is 'noeviction').
|
|
#
|
|
# maxmemory <bytes>
|
|
maxmemory <%= @redis_max_memory %>
|
|
|
|
# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
|
|
# is reached. You can select among five behaviors:
|
|
#
|
|
# volatile-lru -> remove the key with an expire set using an LRU algorithm
|
|
# allkeys-lru -> remove any key according to the LRU algorithm
|
|
# volatile-random -> remove a random key with an expire set
|
|
# allkeys-random -> remove a random key, any key
|
|
# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
|
|
# noeviction -> don't expire at all, just return an error on write operations
|
|
#
|
|
# Note: with any of the above policies, Redis will return an error on write
|
|
# operations, when there are no suitable keys for eviction.
|
|
#
|
|
# At the date of writing these commands are: set setnx setex append
|
|
# incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
|
|
# sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
|
|
# zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
|
|
# getset mset msetnx exec sort
|
|
#
|
|
# The default is:
|
|
#
|
|
# maxmemory-policy noeviction
|
|
maxmemory-policy <%= @redis_max_memory_policy %>
|
|
|
|
# LRU and minimal TTL algorithms are not precise algorithms but approximated
|
|
# algorithms (in order to save memory), so you can tune it for speed or
|
|
# accuracy. For default Redis will check five keys and pick the one that was
|
|
# used less recently, you can change the sample size using the following
|
|
# configuration directive.
|
|
#
|
|
# The default of 5 produces good enough results. 10 Approximates very closely
|
|
# true LRU but costs a bit more CPU. 3 is very fast but not very accurate.
|
|
#
|
|
# maxmemory-samples 5
|
|
|
|
############################## APPEND ONLY MODE ###############################
|
|
|
|
# By default Redis asynchronously dumps the dataset on disk. This mode is
|
|
# good enough in many applications, but an issue with the Redis process or
|
|
# a power outage may result into a few minutes of writes lost (depending on
|
|
# the configured save points).
|
|
#
|
|
# The Append Only File is an alternative persistence mode that provides
|
|
# much better durability. For instance using the default data fsync policy
|
|
# (see later in the config file) Redis can lose just one second of writes in a
|
|
# dramatic event like a server power outage, or a single write if something
|
|
# wrong with the Redis process itself happens, but the operating system is
|
|
# still running correctly.
|
|
#
|
|
# AOF and RDB persistence can be enabled at the same time without problems.
|
|
# If the AOF is enabled on startup Redis will load the AOF, that is the file
|
|
# with the better durability guarantees.
|
|
#
|
|
# Please check http://redis.io/topics/persistence for more information.
|
|
|
|
appendonly no
|
|
|
|
# The name of the append only file (default: "appendonly.aof")
|
|
|
|
appendfilename "appendonly.aof"
|
|
|
|
# The fsync() call tells the Operating System to actually write data on disk
|
|
# instead 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
|
|
|
|
################################ 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 a exact measure of
|
|
# its "data age", so the following two checks are performed:
|
|
#
|
|
# 1) If there are multiple slaves able to failover, they exchange messages
|
|
# in order to try to give an advantage to the slave with the best
|
|
# replication offset (more data from the master processed).
|
|
# Slaves will try to get their rank by offset, and apply to the start
|
|
# of the failover a delay proportional to their rank.
|
|
#
|
|
# 2) Every single slave computes the time of the last interaction with
|
|
# its master. This can be the last ping or command received (if the master
|
|
# is still in the "connected" state), or the time that elapsed since the
|
|
# disconnection with the master (if the replication link is currently down).
|
|
# If the last interaction is too old, the slave will not try to failover
|
|
# at all.
|
|
#
|
|
# The point "2" can be tuned by user. Specifically a slave will not perform
|
|
# the failover if, since the last interaction with the master, the time
|
|
# elapsed is greater than:
|
|
#
|
|
# (node-timeout * slave-validity-factor) + repl-ping-slave-period
|
|
#
|
|
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
|
|
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
|
|
# slave will not try to failover if it was not able to talk with the master
|
|
# for longer than 310 seconds.
|
|
#
|
|
# A large slave-validity-factor may allow slaves with too old data to failover
|
|
# a master, while a too small value may prevent the cluster from being able to
|
|
# elect a slave at all.
|
|
#
|
|
# For maximum availability, it is possible to set the slave-validity-factor
|
|
# to a value of 0, which means, that slaves will always try to failover the
|
|
# master regardless of the last time they interacted with the master.
|
|
# (However they'll always try to apply a delay proportional to their
|
|
# offset rank).
|
|
#
|
|
# Zero is the only value able to guarantee that when all the partitions heal
|
|
# the cluster will always be able to continue.
|
|
#
|
|
# cluster-slave-validity-factor 10
|
|
|
|
# Cluster slaves are able to migrate to orphaned masters, that are masters
|
|
# that are left without working slaves. This improves the cluster ability
|
|
# to resist to failures as otherwise an orphaned master can't be failed over
|
|
# in case of failure if it has no working slaves.
|
|
#
|
|
# Slaves migrate to orphaned masters only if there are still at least a
|
|
# given number of other working slaves for their old master. This number
|
|
# is the "migration barrier". A migration barrier of 1 means that a slave
|
|
# will migrate only if there is at least 1 other working slave for its master
|
|
# and so forth. It usually reflects the number of slaves you want for every
|
|
# master in your cluster.
|
|
#
|
|
# Default is 1 (slaves migrate only if their masters remain with at least
|
|
# one slave). To disable migration just set it to a very large value.
|
|
# A value of 0 can be set but is useful only for debugging and dangerous
|
|
# in production.
|
|
#
|
|
# cluster-migration-barrier 1
|
|
|
|
# By default Redis Cluster nodes stop accepting queries if they detect there
|
|
# is at least an hash slot uncovered (no available node is serving it).
|
|
# This way if the cluster is partially down (for example a range of hash slots
|
|
# are no longer covered) all the cluster becomes, eventually, unavailable.
|
|
# It automatically returns available as soon as all the slots are covered again.
|
|
#
|
|
# However sometimes you want the subset of the cluster which is working,
|
|
# to continue to accept queries for the part of the key space that is still
|
|
# covered. In order to do so, just set the cluster-require-full-coverage
|
|
# option to no.
|
|
#
|
|
# cluster-require-full-coverage yes
|
|
|
|
# In order to setup your cluster make sure to read the documentation
|
|
# available at http://redis.io web site.
|
|
|
|
################################## SLOW LOG ###################################
|
|
|
|
# The Redis Slow Log is a system to log queries that exceeded a specified
|
|
# execution time. The execution time does not include the I/O operations
|
|
# like talking with the client, sending the reply and so forth,
|
|
# but just the time needed to actually execute the command (this is the only
|
|
# stage of command execution where the thread is blocked and can not serve
|
|
# other requests in the meantime).
|
|
#
|
|
# You can configure the slow log with two parameters: one tells Redis
|
|
# what is the execution time, in microseconds, to exceed in order for the
|
|
# command to get logged, and the other parameter is the length of the
|
|
# slow log. When a new command is logged the oldest one is removed from the
|
|
# queue of logged commands.
|
|
|
|
# The following time is expressed in microseconds, so 1000000 is equivalent
|
|
# to one second. Note that a negative number disables the slow log, while
|
|
# a value of zero forces the logging of every command.
|
|
slowlog-log-slower-than 10000
|
|
|
|
# There is no limit to this length. Just be aware that it will consume memory.
|
|
# You can reclaim memory used by the slow log with SLOWLOG RESET.
|
|
slowlog-max-len 128
|
|
|
|
################################ LATENCY MONITOR ##############################
|
|
|
|
# The Redis latency monitoring subsystem samples different operations
|
|
# at runtime in order to collect data related to possible sources of
|
|
# latency of a Redis instance.
|
|
#
|
|
# Via the LATENCY command this information is available to the user that can
|
|
# print graphs and obtain reports.
|
|
#
|
|
# The system only logs operations that were performed in a time equal or
|
|
# greater than the amount of milliseconds specified via the
|
|
# latency-monitor-threshold configuration directive. When its value is set
|
|
# to zero, the latency monitor is turned off.
|
|
#
|
|
# By default latency monitoring is disabled since it is mostly not needed
|
|
# if you don't have latency issues, and collecting data has a performance
|
|
# impact, that while very small, can be measured under big load. Latency
|
|
# monitoring can easily be enabled at runtime using the command
|
|
# "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
|
|
latency-monitor-threshold 0
|
|
|
|
############################# EVENT NOTIFICATION ##############################
|
|
|
|
# Redis can notify Pub/Sub clients about events happening in the key space.
|
|
# This feature is documented at http://redis.io/topics/notifications
|
|
#
|
|
# For instance if keyspace events notification is enabled, and a client
|
|
# performs a DEL operation on key "foo" stored in the Database 0, two
|
|
# messages will be published via Pub/Sub:
|
|
#
|
|
# PUBLISH __keyspace@0__:foo del
|
|
# PUBLISH __keyevent@0__:del foo
|
|
#
|
|
# It is possible to select the events that Redis will notify among a set
|
|
# of classes. Every class is identified by a single character:
|
|
#
|
|
# K Keyspace events, published with __keyspace@<db>__ prefix.
|
|
# E Keyevent events, published with __keyevent@<db>__ prefix.
|
|
# g Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
|
|
# $ String commands
|
|
# l List commands
|
|
# s Set commands
|
|
# h Hash commands
|
|
# z Sorted set commands
|
|
# x Expired events (events generated every time a key expires)
|
|
# e Evicted events (events generated when a key is evicted for maxmemory)
|
|
# A Alias for g$lshzxe, so that the "AKE" string means all the events.
|
|
#
|
|
# The "notify-keyspace-events" takes as argument a string that is composed
|
|
# of zero or multiple characters. The empty string means that notifications
|
|
# are disabled.
|
|
#
|
|
# Example: to enable list and generic events, from the point of view of the
|
|
# event name, use:
|
|
#
|
|
# notify-keyspace-events Elg
|
|
#
|
|
# Example 2: to get the stream of the expired keys subscribing to channel
|
|
# name __keyevent@0__:expired use:
|
|
#
|
|
# notify-keyspace-events Ex
|
|
#
|
|
# By default all notifications are disabled because most users don't need
|
|
# this feature and the feature has some overhead. Note that if you don't
|
|
# specify at least one of K or E, no events will be delivered.
|
|
notify-keyspace-events ""
|
|
|
|
############################### ADVANCED CONFIG ###############################
|
|
|
|
# Hashes are encoded using a memory efficient data structure when they have a
|
|
# small number of entries, and the biggest entry does not exceed a given
|
|
# threshold. These thresholds can be configured using the following directives.
|
|
hash-max-ziplist-entries 512
|
|
hash-max-ziplist-value 64
|
|
|
|
# Similarly to hashes, small lists are also encoded in a special way in order
|
|
# to save a lot of space. The special representation is only used when
|
|
# you are under the following limits:
|
|
list-max-ziplist-entries 512
|
|
list-max-ziplist-value 64
|
|
|
|
# Sets have a special encoding in just one case: when a set is composed
|
|
# of just strings that 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
|