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- # 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
- ################################## MODULES #####################################
- # Load modules at startup. If the server is not able to load modules
- # it will abort. It is possible to use multiple loadmodule directives.
- #
- # loadmodule /path/to/my_module.so
- # loadmodule /path/to/other_module.so
- ################################## NETWORK #####################################
- # By default, if no "bind" configuration directive is specified, Redis listens
- # for connections from all the network interfaces available on the server.
- # It is possible to listen to just one or multiple selected interfaces using
- # the "bind" configuration directive, followed by one or more IP addresses.
- #
- # Examples:
- #
- # bind 192.168.1.100 10.0.0.1
- # bind 127.0.0.1 ::1
- #
- # ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
- # internet, binding to all the interfaces is dangerous and will expose the
- # instance to everybody on the internet. So by default we uncomment the
- # following bind directive, that will force Redis to listen only into
- # the IPv4 lookback interface address (this means Redis will be able to
- # accept connections only from clients running into the same computer it
- # is running).
- #
- # IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
- # JUST COMMENT THE FOLLOWING LINE.
- # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- bind 127.0.0.1
- # Protected mode is a layer of security protection, in order to avoid that
- # Redis instances left open on the internet are accessed and exploited.
- #
- # When protected mode is on and if:
- #
- # 1) The server is not binding explicitly to a set of addresses using the
- # "bind" directive.
- # 2) No password is configured.
- #
- # The server only accepts connections from clients connecting from the
- # IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
- # sockets.
- #
- # By default protected mode is enabled. You should disable it only if
- # you are sure you want clients from other hosts to connect to Redis
- # even if no authentication is configured, nor a specific set of interfaces
- # are explicitly listed using the "bind" directive.
- protected-mode yes
- # Accept connections on the specified port, default is 6379 (IANA #815344).
- # If port 0 is specified Redis will not listen on a TCP socket.
- port 6379
- # TCP listen() backlog.
- #
- # In high requests-per-second environments you need an high backlog in order
- # to avoid slow clients connections issues. Note that the Linux kernel
- # will silently truncate it to the value of /proc/sys/net/core/somaxconn so
- # make sure to raise both the value of somaxconn and tcp_max_syn_backlog
- # in order to get the desired effect.
- tcp-backlog 511
- # Unix socket.
- #
- # Specify the path for the Unix socket that will be used to listen for
- # incoming connections. There is no default, so Redis will not listen
- # on a unix socket when not specified.
- #
- # unixsocket /tmp/redis.sock
- # unixsocketperm 700
- # Close the connection after a client is idle for N seconds (0 to disable)
- timeout 0
- # TCP keepalive.
- #
- # If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
- # of communication. This is useful for two reasons:
- #
- # 1) Detect dead peers.
- # 2) Take the connection alive from the point of view of network
- # equipment in the middle.
- #
- # On Linux, the specified value (in seconds) is the period used to send ACKs.
- # Note that to close the connection the double of the time is needed.
- # On other kernels the period depends on the kernel configuration.
- #
- # A reasonable value for this option is 300 seconds, which is the new
- # Redis default starting with Redis 3.2.1.
- tcp-keepalive 300
- ################################# GENERAL #####################################
- # By default Redis does not run as a daemon. Use 'yes' if you need it.
- # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
- daemonize no
- # If you run Redis from upstart or systemd, Redis can interact with your
- # supervision tree. Options:
- # supervised no - no supervision interaction
- # supervised upstart - signal upstart by putting Redis into SIGSTOP mode
- # supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
- # supervised auto - detect upstart or systemd method based on
- # UPSTART_JOB or NOTIFY_SOCKET environment variables
- # Note: these supervision methods only signal "process is ready."
- # They do not enable continuous liveness pings back to your supervisor.
- supervised no
- # If a pid file is specified, Redis writes it where specified at startup
- # and removes it at exit.
- #
- # When the server runs non daemonized, no pid file is created if none is
- # specified in the configuration. When the server is daemonized, the pid file
- # is used even if not specified, defaulting to "/var/run/redis.pid".
- #
- # Creating a pid file is best effort: if Redis is not able to create it
- # nothing bad happens, the server will start and run normally.
- pidfile /var/run/redis_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 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 ""
- # 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 ./
- ################################# 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.
- # A Redis master is able to list the address and port of the attached
- # slaves in different ways. For example the "INFO replication" section
- # offers this information, which is used, among other tools, by
- # Redis Sentinel in order to discover slave instances.
- # Another place where this info is available is in the output of the
- # "ROLE" command of a masteer.
- #
- # The listed IP and address normally reported by a slave is obtained
- # in the following way:
- #
- # IP: The address is auto detected by checking the peer address
- # of the socket used by the slave to connect with the master.
- #
- # Port: The port is communicated by the slave during the replication
- # handshake, and is normally the port that the slave is using to
- # list for connections.
- #
- # However when port forwarding or Network Address Translation (NAT) is
- # used, the slave may be actually reachable via different IP and port
- # pairs. The following two options can be used by a slave in order to
- # report to its master a specific set of IP and port, so that both INFO
- # and ROLE will report those values.
- #
- # There is no need to use both the options if you need to override just
- # the port or the IP address.
- #
- # slave-announce-ip 5.5.5.5
- # slave-announce-port 1234
- ################################## SECURITY ###################################
- # Require clients to issue AUTH <PASSWORD> before processing any other
- # commands. This might be useful in environments in which you do not trust
- # others with access to the host running redis-server.
- #
- # This should stay commented out for backward compatibility and because most
- # people do not need auth (e.g. they run their own servers).
- #
- # 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
- # Command renaming.
- #
- # It is possible to change the name of dangerous commands in a shared
- # environment. For instance the CONFIG command may be renamed into something
- # hard to guess so that it will still be available for internal-use tools
- # but not available for general clients.
- #
- # Example:
- #
- # rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
- #
- # It is also possible to completely kill a command by renaming it into
- # an empty string:
- #
- # rename-command CONFIG ""
- #
- # Please note that changing the name of commands that are logged into the
- # AOF file or transmitted to slaves may cause problems.
- ################################### CLIENTS ####################################
- # Set the max number of connected clients at the same time. By default
- # this limit is set to 10000 clients, however if the Redis server is not
- # able to configure the process file limit to allow for the specified limit
- # the max number of allowed clients is set to the current file limit
- # minus 32 (as Redis reserves a few file descriptors for internal uses).
- #
- # Once the limit is reached Redis will close all the new connections sending
- # an error 'max number of clients reached'.
- #
- # maxclients 10000
- ############################## MEMORY MANAGEMENT ################################
- # Set a memory usage limit to the specified amount of bytes.
- # When the memory limit is reached Redis will try to remove keys
- # according to the eviction policy selected (see maxmemory-policy).
- #
- # If Redis can't remove keys according to the policy, or if the policy is
- # set to 'noeviction', Redis will start to reply with errors to commands
- # that would use more memory, like SET, LPUSH, and so on, and will continue
- # to reply to read-only commands like GET.
- #
- # This option is usually useful when using Redis as an LRU or LFU cache, or to
- # set a hard memory limit for an instance (using the 'noeviction' policy).
- #
- # WARNING: If you have slaves attached to an instance with maxmemory on,
- # the size of the output buffers needed to feed the slaves are subtracted
- # from the used memory count, so that network problems / resyncs will
- # not trigger a loop where keys are evicted, and in turn the output
- # buffer of slaves is full with DELs of keys evicted triggering the deletion
- # of more keys, and so forth until the database is completely emptied.
- #
- # In short... if you have slaves attached it is suggested that you set a lower
- # limit for maxmemory so that there is some free RAM on the system for slave
- # output buffers (but this is not needed if the policy is 'noeviction').
- #
- # maxmemory <bytes>
- # MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
- # is reached. You can select among five behaviors:
- #
- # volatile-lru -> Evict using approximated LRU among the keys with an expire set.
- # allkeys-lru -> Evict any key using approximated LRU.
- # volatile-lfu -> Evict using approximated LFU among the keys with an expire set.
- # allkeys-lfu -> Evict any key using approximated LFU.
- # volatile-random -> Remove a random key among the ones with an expire set.
- # allkeys-random -> Remove a random key, any key.
- # volatile-ttl -> Remove the key with the nearest expire time (minor TTL)
- # noeviction -> Don't evict anything, just return an error on write operations.
- #
- # LRU means Least Recently Used
- # LFU means Least Frequently Used
- #
- # Both LRU, LFU and volatile-ttl are implemented using approximated
- # randomized algorithms.
- #
- # Note: with any of the above policies, Redis will return an error on write
- # operations, when there are no suitable keys for eviction.
- #
- # At the date of writing these commands are: set setnx setex append
- # incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
- # sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
- # zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
- # getset mset msetnx exec sort
- #
- # The default is:
- #
- # maxmemory-policy noeviction
- # LRU, LFU and minimal TTL algorithms are not precise algorithms but approximated
- # algorithms (in order to save memory), so you can tune it for speed or
- # accuracy. For default Redis will check five keys and pick the one that was
- # used less recently, you can change the sample size using the following
- # configuration directive.
- #
- # The default of 5 produces good enough results. 10 Approximates very closely
- # true LRU but costs more CPU. 3 is faster but not very accurate.
- #
- # maxmemory-samples 5
- ############################# LAZY FREEING ####################################
- # Redis has two primitives to delete keys. One is called DEL and is a blocking
- # deletion of the object. It means that the server stops processing new commands
- # in order to reclaim all the memory associated with an object in a synchronous
- # way. If the key deleted is associated with a small object, the time needed
- # in order to execute th DEL command is very small and comparable to most other
- # O(1) or O(log_N) commands in Redis. However if the key is associated with an
- # aggregated value containing millions of elements, the server can block for
- # a long time (even seconds) in order to complete the operation.
- #
- # For the above reasons Redis also offers non blocking deletion primitives
- # such as UNLINK (non blocking DEL) and the ASYNC option of FLUSHALL and
- # FLUSHDB commands, in order to reclaim memory in background. Those commands
- # are executed in constant time. Another thread will incrementally free the
- # object in the background as fast as possible.
- #
- # DEL, UNLINK and ASYNC option of FLUSHALL and FLUSHDB are user-controlled.
- # It's up to the design of the application to understand when it is a good
- # idea to use one or the other. However the Redis server sometimes has to
- # delete keys or flush the whole database as a side effect of other operations.
- # Specifically Redis deletes objects independently of an user call in the
- # following scenarios:
- #
- # 1) On eviction, because of the maxmemory and maxmemory policy configurations,
- # in order to make room for new data, without going over the specified
- # memory limit.
- # 2) Because of expire: when a key with an associated time to live (see the
- # EXPIRE command) must be deleted from memory.
- # 3) Because of a side effect of a command that stores data on a key that may
- # already exist. For example the RENAME command may delete the old key
- # content when it is replaced with another one. Similarly SUNIONSTORE
- # or SORT with STORE option may delete existing keys. The SET command
- # itself removes any old content of the specified key in order to replace
- # it with the specified string.
- # 4) During replication, when a slave performs a full resynchronization with
- # its master, the content of the whole database is removed in order to
- # load the RDB file just transfered.
- #
- # In all the above cases the default is to delete objects in a blocking way,
- # like if DEL was called. However you can configure each case specifically
- # in order to instead release memory in a non-blocking way like if UNLINK
- # was called, using the following configuration directives:
- lazyfree-lazy-eviction no
- lazyfree-lazy-expire no
- lazyfree-lazy-server-del no
- slave-lazy-flush no
- ############################## APPEND ONLY MODE ###############################
- # By default Redis asynchronously dumps the dataset on disk. This mode is
- # good enough in many applications, but an issue with the Redis process or
- # a power outage may result into a few minutes of writes lost (depending on
- # the configured save points).
- #
- # The Append Only File is an alternative persistence mode that provides
- # much better durability. For instance using the default data fsync policy
- # (see later in the config file) Redis can lose just one second of writes in a
- # dramatic event like a server power outage, or a single write if something
- # wrong with the Redis process itself happens, but the operating system is
- # still running correctly.
- #
- # AOF and RDB persistence can be enabled at the same time without problems.
- # If the AOF is enabled on startup Redis will load the AOF, that is the file
- # with the better durability guarantees.
- #
- # Please check 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.
- ########################## CLUSTER DOCKER/NAT support ########################
- # In certain deployments, Redis Cluster nodes address discovery fails, because
- # addresses are NAT-ted or because ports are forwarded (the typical case is
- # Docker and other containers).
- #
- # In order to make Redis Cluster working in such environments, a static
- # configuration where each node known its public address is needed. The
- # following two options are used for this scope, and are:
- #
- # * cluster-announce-ip
- # * cluster-announce-port
- # * cluster-announce-bus-port
- #
- # Each instruct the node about its address, client port, and cluster message
- # bus port. The information is then published in the header of the bus packets
- # so that other nodes will be able to correctly map the address of the node
- # publishing the information.
- #
- # If the above options are not used, the normal Redis Cluster auto-detection
- # will be used instead.
- #
- # Note that when remapped, the bus port may not be at the fixed offset of
- # clients port + 10000, so you can specify any port and bus-port depending
- # on how they get remapped. If the bus-port is not set, a fixed offset of
- # 10000 will be used as usually.
- #
- # Example:
- #
- # cluster-announce-ip 10.1.1.5
- # cluster-announce-port 6379
- # cluster-announce-bus-port 6380
- ################################## SLOW LOG ###################################
- # The Redis Slow Log is a system to log queries that exceeded a specified
- # execution time. The execution time does not include the I/O operations
- # like talking with the client, sending the reply and so forth,
- # but just the time needed to actually execute the command (this is the only
- # stage of command execution where the thread is blocked and can not serve
- # other requests in the meantime).
- #
- # You can configure the slow log with two parameters: one tells Redis
- # what is the execution time, in microseconds, to exceed in order for the
- # command to get logged, and the other parameter is the length of the
- # slow log. When a new command is logged the oldest one is removed from the
- # queue of logged commands.
- # The following time is expressed in microseconds, so 1000000 is equivalent
- # to one second. Note that a negative number disables the slow log, while
- # a value of zero forces the logging of every command.
- slowlog-log-slower-than 10000
- # There is no limit to this length. Just be aware that it will consume memory.
- # You can reclaim memory used by the slow log with SLOWLOG RESET.
- slowlog-max-len 128
- ################################ LATENCY MONITOR ##############################
- # The Redis latency monitoring subsystem samples different operations
- # at runtime in order to collect data related to possible sources of
- # latency of a Redis instance.
- #
- # Via the LATENCY command this information is available to the user that can
- # print graphs and obtain reports.
- #
- # The system only logs operations that were performed in a time equal or
- # greater than the amount of milliseconds specified via the
- # latency-monitor-threshold configuration directive. When its value is set
- # to zero, the latency monitor is turned off.
- #
- # By default latency monitoring is disabled since it is mostly not needed
- # if you don't have latency issues, and collecting data has a performance
- # impact, that while very small, can be measured under big load. Latency
- # monitoring can easily be enabled at runtime using the command
- # "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
- latency-monitor-threshold 0
- ############################# EVENT NOTIFICATION ##############################
- # Redis can notify Pub/Sub clients about events happening in the key space.
- # This feature is documented at http://redis.io/topics/notifications
- #
- # For instance if keyspace events notification is enabled, and a client
- # performs a DEL operation on key "foo" stored in the Database 0, two
- # messages will be published via Pub/Sub:
- #
- # PUBLISH __keyspace@0__:foo del
- # PUBLISH __keyevent@0__:del foo
- #
- # It is possible to select the events that Redis will notify among a set
- # of classes. Every class is identified by a single character:
- #
- # K Keyspace events, published with __keyspace@<db>__ prefix.
- # E Keyevent events, published with __keyevent@<db>__ prefix.
- # g Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
- # $ String commands
- # l List commands
- # s Set commands
- # h Hash commands
- # z Sorted set commands
- # x Expired events (events generated every time a key expires)
- # e Evicted events (events generated when a key is evicted for maxmemory)
- # A Alias for g$lshzxe, so that the "AKE" string means all the events.
- #
- # The "notify-keyspace-events" takes as argument a string that is composed
- # of zero or multiple characters. The empty string means that notifications
- # are disabled.
- #
- # Example: to enable list and generic events, from the point of view of the
- # event name, use:
- #
- # notify-keyspace-events Elg
- #
- # Example 2: to get the stream of the expired keys subscribing to channel
- # name __keyevent@0__:expired use:
- #
- # notify-keyspace-events Ex
- #
- # By default all notifications are disabled because most users don't need
- # this feature and the feature has some overhead. Note that if you don't
- # specify at least one of K or E, no events will be delivered.
- notify-keyspace-events ""
- ############################### ADVANCED CONFIG ###############################
- # Hashes are encoded using a memory efficient data structure when they have a
- # small number of entries, and the biggest entry does not exceed a given
- # threshold. These thresholds can be configured using the following directives.
- hash-max-ziplist-entries 512
- hash-max-ziplist-value 64
- # Lists are also encoded in a special way to save a lot of space.
- # The number of entries allowed per internal list node can be specified
- # as a fixed maximum size or a maximum number of elements.
- # For a fixed maximum size, use -5 through -1, meaning:
- # -5: max size: 64 Kb <-- not recommended for normal workloads
- # -4: max size: 32 Kb <-- not recommended
- # -3: max size: 16 Kb <-- probably not recommended
- # -2: max size: 8 Kb <-- good
- # -1: max size: 4 Kb <-- good
- # Positive numbers mean store up to _exactly_ that number of elements
- # per list node.
- # The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
- # but if your use case is unique, adjust the settings as necessary.
- list-max-ziplist-size -2
- # Lists may also be compressed.
- # Compress depth is the number of quicklist ziplist nodes from *each* side of
- # the list to *exclude* from compression. The head and tail of the list
- # are always uncompressed for fast push/pop operations. Settings are:
- # 0: disable all list compression
- # 1: depth 1 means "don't start compressing until after 1 node into the list,
- # going from either the head or tail"
- # So: [head]->node->node->...->node->[tail]
- # [head], [tail] will always be uncompressed; inner nodes will compress.
- # 2: [head]->[next]->node->node->...->node->[prev]->[tail]
- # 2 here means: don't compress head or head->next or tail->prev or tail,
- # but compress all nodes between them.
- # 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
- # etc.
- list-compress-depth 0
- # Sets have a special encoding in just one case: when a set is composed
- # of just strings that happen to be integers in radix 10 in the range
- # of 64 bit signed integers.
- # The following configuration setting sets the limit in the size of the
- # set in order to use this special memory saving encoding.
- set-max-intset-entries 512
- # Similarly to hashes and lists, sorted sets are also specially encoded in
- # order to save a lot of space. This encoding is only used when the length and
- # elements of a sorted set are below the following limits:
- zset-max-ziplist-entries 128
- zset-max-ziplist-value 64
- # HyperLogLog sparse representation bytes limit. The limit includes the
- # 16 bytes header. When an HyperLogLog using the sparse representation crosses
- # this limit, it is converted into the dense representation.
- #
- # A value greater than 16000 is totally useless, since at that point the
- # dense representation is more memory efficient.
- #
- # The suggested value is ~ 3000 in order to have the benefits of
- # the space efficient encoding without slowing down too much PFADD,
- # which is O(N) with the sparse encoding. The value can be raised to
- # ~ 10000 when CPU is not a concern, but space is, and the data set is
- # composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
- hll-sparse-max-bytes 3000
- # Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
- # order to help rehashing the main Redis hash table (the one mapping top-level
- # keys to values). The hash table implementation Redis uses (see dict.c)
- # performs a lazy rehashing: the more operation you run into a hash table
- # that is rehashing, the more rehashing "steps" are performed, so if the
- # server is idle the rehashing is never complete and some more memory is used
- # by the hash table.
- #
- # The default is to use this millisecond 10 times every second in order to
- # actively rehash the main dictionaries, freeing memory when possible.
- #
- # If unsure:
- # use "activerehashing no" if you have hard latency requirements and it is
- # not a good thing in your environment that Redis can reply from time to time
- # to queries with 2 milliseconds delay.
- #
- # use "activerehashing yes" if you don't have such hard requirements but
- # want to free memory asap when possible.
- activerehashing yes
- # The client output buffer limits can be used to force disconnection of clients
- # that are not reading data from the server fast enough for some reason (a
- # common reason is that a Pub/Sub client can't consume messages as fast as the
- # publisher can produce them).
- #
- # The limit can be set differently for the three different classes of clients:
- #
- # normal -> normal clients including MONITOR clients
- # slave -> slave clients
- # pubsub -> clients subscribed to at least one pubsub channel or pattern
- #
- # The syntax of every client-output-buffer-limit directive is the following:
- #
- # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
- #
- # A client is immediately disconnected once the hard limit is reached, or if
- # the soft limit is reached and remains reached for the specified number of
- # seconds (continuously).
- # So for instance if the hard limit is 32 megabytes and the soft limit is
- # 16 megabytes / 10 seconds, the client will get disconnected immediately
- # if the size of the output buffers reach 32 megabytes, but will also get
- # disconnected if the client reaches 16 megabytes and continuously overcomes
- # the limit for 10 seconds.
- #
- # By default normal clients are not limited because they don't receive data
- # without asking (in a push way), but just after a request, so only
- # asynchronous clients may create a scenario where data is requested faster
- # than it can read.
- #
- # Instead there is a default limit for pubsub and slave clients, since
- # subscribers and slaves receive data in a push fashion.
- #
- # Both the hard or the soft limit can be disabled by setting them to zero.
- client-output-buffer-limit normal 0 0 0
- client-output-buffer-limit slave 256mb 64mb 60
- client-output-buffer-limit pubsub 32mb 8mb 60
- # Redis calls an internal function to perform many background tasks, like
- # closing connections of clients in timeout, purging expired keys that are
- # never requested, and so forth.
- #
- # Not all tasks are performed with the same frequency, but Redis checks for
- # tasks to perform according to the specified "hz" value.
- #
- # By default "hz" is set to 10. Raising the value will use more CPU when
- # Redis is idle, but at the same time will make Redis more responsive when
- # there are many keys expiring at the same time, and timeouts may be
- # handled with more precision.
- #
- # The range is between 1 and 500, however a value over 100 is usually not
- # a good idea. Most users should use the default of 10 and raise this up to
- # 100 only in environments where very low latency is required.
- hz 10
- # When a child rewrites the AOF file, if the following option is enabled
- # the file will be fsync-ed every 32 MB of data generated. This is useful
- # in order to commit the file to the disk more incrementally and avoid
- # big latency spikes.
- aof-rewrite-incremental-fsync yes
- # Redis LFU eviction (see maxmemory setting) can be tuned. However it is a good
- # idea to start with the default settings and only change them after investigating
- # how to improve the performances and how the keys LFU change over time, which
- # is possible to inspect via the OBJECT FREQ command.
- #
- # There are two tunable parameters in the Redis LFU implementation: the
- # counter logarithm factor and the counter decay time. It is important to
- # understand what the two parameters mean before changing them.
- #
- # The LFU counter is just 8 bits per key, it's maximum value is 255, so Redis
- # uses a probabilistic increment with logarithmic behavior. Given the value
- # of the old counter, when a key is accessed, the counter is incremented in
- # this way:
- #
- # 1. A random number R between 0 and 1 is extracted.
- # 2. A probability P is calculated as 1/(old_value*lfu_log_factor+1).
- # 3. The counter is incremented only if R < P.
- #
- # The default lfu-log-factor is 10. This is a table of how the frequency
- # counter changes with a different number of accesses with different
- # logarithmic factors:
- #
- # +--------+------------+------------+------------+------------+------------+
- # | factor | 100 hits | 1000 hits | 100K hits | 1M hits | 10M hits |
- # +--------+------------+------------+------------+------------+------------+
- # | 0 | 104 | 255 | 255 | 255 | 255 |
- # +--------+------------+------------+------------+------------+------------+
- # | 1 | 18 | 49 | 255 | 255 | 255 |
- # +--------+------------+------------+------------+------------+------------+
- # | 10 | 10 | 18 | 142 | 255 | 255 |
- # +--------+------------+------------+------------+------------+------------+
- # | 100 | 8 | 11 | 49 | 143 | 255 |
- # +--------+------------+------------+------------+------------+------------+
- #
- # NOTE: The above table was obtained by running the following commands:
- #
- # redis-benchmark -n 1000000 incr foo
- # redis-cli object freq foo
- #
- # NOTE 2: The counter initial value is 5 in order to give new objects a chance
- # to accumulate hits.
- #
- # The counter decay time is the time, in minutes, that must elapse in order
- # for the key counter to be divided by two (or decremented if it has a value
- # less <= 10).
- #
- # The default value for the lfu-decay-time is 1. A Special value of 0 means to
- # decay the counter every time it happens to be scanned.
- #
- # lfu-log-factor 10
- # lfu-decay-time 1
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