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- # Redis configuration file example
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-
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- # Note on units: when memory size is needed, it is possible to specify
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- # it in the usual form of 1k 5GB 4M and so forth:
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- #
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- # 1k => 1000 bytes
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- # 1kb => 1024 bytes
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- # 1m => 1000000 bytes
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- # 1mb => 1024*1024 bytes
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- # 1g => 1000000000 bytes
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- # 1gb => 1024*1024*1024 bytes
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- #
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- # units are case insensitive so 1GB 1Gb 1gB are all the same.
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-
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- ################################## INCLUDES ###################################
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-
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- # Include one or more other config files here. This is useful if you
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- # have a standard template that goes to all Redis servers but also need
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- # to customize a few per-server settings. Include files can include
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- # other files, so use this wisely.
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- #
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- # Notice option "include" won't be rewritten by command "CONFIG REWRITE"
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- # from admin or Redis Sentinel. Since Redis always uses the last processed
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- # line as value of a configuration directive, you'd better put includes
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- # at the beginning of this file to avoid overwriting config change at runtime.
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- #
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- # If instead you are interested in using includes to override configuration
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- # options, it is better to use include as the last line.
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- #
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- # include /path/to/local.conf
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- # include /path/to/other.conf
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-
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- ################################ GENERAL #####################################
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-
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- # By default Redis does not run as a daemon. Use 'yes' if you need it.
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- # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
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- daemonize no
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-
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- # When running daemonized, Redis writes a pid file in /var/run/redis.pid by
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- # default. You can specify a custom pid file location here.
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- pidfile /var/run/redis/redis.pid
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-
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- # Accept connections on the specified port, default is 6379.
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- # If port 0 is specified Redis will not listen on a TCP socket.
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- port 6380
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-
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- # TCP listen() backlog.
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- #
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- # In high requests-per-second environments you need an high backlog in order
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- # to avoid slow clients connections issues. Note that the Linux kernel
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- # will silently truncate it to the value of /proc/sys/net/core/somaxconn so
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- # make sure to raise both the value of somaxconn and tcp_max_syn_backlog
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- # in order to get the desired effect.
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- tcp-backlog 511
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-
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- # By default Redis listens for connections from all the network interfaces
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- # available on the server. It is possible to listen to just one or multiple
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- # interfaces using the "bind" configuration directive, followed by one or
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- # more IP addresses.
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- #
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- # Examples:
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- #
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- # bind 192.168.1.100 10.0.0.1
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- bind 127.0.0.1
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-
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- # Specify the path for the Unix socket that will be used to listen for
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- # incoming connections. There is no default, so Redis will not listen
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- # on a unix socket when not specified.
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- #
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- # unixsocket /tmp/redis.sock
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- # unixsocketperm 700
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-
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- # Close the connection after a client is idle for N seconds (0 to disable)
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- timeout 0
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-
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- # TCP keepalive.
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- #
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- # If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
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- # of communication. This is useful for two reasons:
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- #
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- # 1) Detect dead peers.
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- # 2) Take the connection alive from the point of view of network
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- # equipment in the middle.
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- #
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- # On Linux, the specified value (in seconds) is the period used to send ACKs.
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- # Note that to close the connection the double of the time is needed.
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- # On other kernels the period depends on the kernel configuration.
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- #
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- # A reasonable value for this option is 60 seconds.
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- tcp-keepalive 0
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-
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- # Specify the server verbosity level.
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- # This can be one of:
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- # debug (a lot of information, useful for development/testing)
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- # verbose (many rarely useful info, but not a mess like the debug level)
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- # notice (moderately verbose, what you want in production probably)
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- # warning (only very important / critical messages are logged)
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- loglevel notice
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-
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- # Specify the log file name. Also the empty string can be used to force
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- # Redis to log on the standard output. Note that if you use standard
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- # output for logging but daemonize, logs will be sent to /dev/null
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- logfile /var/log/redis/redis.log
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-
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- # To enable logging to the system logger, just set 'syslog-enabled' to yes,
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- # and optionally update the other syslog parameters to suit your needs.
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- # syslog-enabled no
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-
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- # Specify the syslog identity.
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- # syslog-ident redis
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-
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- # Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
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- # syslog-facility local0
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-
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- # Set the number of databases. The default database is DB 0, you can select
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- # a different one on a per-connection basis using SELECT <dbid> where
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- # dbid is a number between 0 and 'databases'-1
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- databases 16
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-
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- ################################ SNAPSHOTTING ################################
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- #
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- # Save the DB on disk:
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- #
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- # save <seconds> <changes>
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- #
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- # Will save the DB if both the given number of seconds and the given
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- # number of write operations against the DB occurred.
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- #
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- # In the example below the behaviour will be to save:
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- # after 900 sec (15 min) if at least 1 key changed
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- # after 300 sec (5 min) if at least 10 keys changed
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- # after 60 sec if at least 10000 keys changed
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- #
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- # Note: you can disable saving completely by commenting out all "save" lines.
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- #
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- # It is also possible to remove all the previously configured save
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- # points by adding a save directive with a single empty string argument
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- # like in the following example:
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- #
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- # save ""
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-
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- save 900 1
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- save 300 10
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- save 60 10000
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-
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- # By default Redis will stop accepting writes if RDB snapshots are enabled
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- # (at least one save point) and the latest background save failed.
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- # This will make the user aware (in a hard way) that data is not persisting
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- # on disk properly, otherwise chances are that no one will notice and some
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- # disaster will happen.
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- #
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- # If the background saving process will start working again Redis will
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- # automatically allow writes again.
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- #
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- # However if you have setup your proper monitoring of the Redis server
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- # and persistence, you may want to disable this feature so that Redis will
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- # continue to work as usual even if there are problems with disk,
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- # permissions, and so forth.
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- stop-writes-on-bgsave-error yes
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-
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- # Compress string objects using LZF when dump .rdb databases?
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- # For default that's set to 'yes' as it's almost always a win.
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- # If you want to save some CPU in the saving child set it to 'no' but
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- # the dataset will likely be bigger if you have compressible values or keys.
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- rdbcompression yes
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-
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- # Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
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- # This makes the format more resistant to corruption but there is a performance
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- # hit to pay (around 10%) when saving and loading RDB files, so you can disable it
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- # for maximum performances.
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- #
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- # RDB files created with checksum disabled have a checksum of zero that will
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- # tell the loading code to skip the check.
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- rdbchecksum yes
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-
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- # The filename where to dump the DB
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- dbfilename dump.rdb
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-
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- # The working directory.
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- #
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- # The DB will be written inside this directory, with the filename specified
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- # above using the 'dbfilename' configuration directive.
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- #
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- # The Append Only File will also be created inside this directory.
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- #
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- # Note that you must specify a directory here, not a file name.
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- dir /var/lib/redis/
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-
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- ################################# REPLICATION #################################
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-
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- # Master-Slave replication. Use slaveof to make a Redis instance a copy of
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- # another Redis server. A few things to understand ASAP about Redis replication.
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- #
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- # 1) Redis replication is asynchronous, but you can configure a master to
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- # stop accepting writes if it appears to be not connected with at least
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- # a given number of slaves.
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- # 2) Redis slaves are able to perform a partial resynchronization with the
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- # master if the replication link is lost for a relatively small amount of
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- # time. You may want to configure the replication backlog size (see the next
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- # sections of this file) with a sensible value depending on your needs.
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- # 3) Replication is automatic and does not need user intervention. After a
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- # network partition slaves automatically try to reconnect to masters
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- # and resynchronize with them.
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- #
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- # slaveof <masterip> <masterport>
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-
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- # If the master is password protected (using the "requirepass" configuration
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- # directive below) it is possible to tell the slave to authenticate before
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- # starting the replication synchronization process, otherwise the master will
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- # refuse the slave request.
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- #
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- # masterauth <master-password>
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-
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- # When a slave loses its connection with the master, or when the replication
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- # is still in progress, the slave can act in two different ways:
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- #
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- # 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
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- # still reply to client requests, possibly with out of date data, or the
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- # data set may just be empty if this is the first synchronization.
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- #
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- # 2) if slave-serve-stale-data is set to 'no' the slave will reply with
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- # an error "SYNC with master in progress" to all the kind of commands
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- # but to INFO and SLAVEOF.
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- #
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- slave-serve-stale-data yes
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-
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- # You can configure a slave instance to accept writes or not. Writing against
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- # a slave instance may be useful to store some ephemeral data (because data
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- # written on a slave will be easily deleted after resync with the master) but
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- # may also cause problems if clients are writing to it because of a
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- # misconfiguration.
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- #
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- # Since Redis 2.6 by default slaves are read-only.
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- #
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- # Note: read only slaves are not designed to be exposed to untrusted clients
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- # on the internet. It's just a protection layer against misuse of the instance.
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- # Still a read only slave exports by default all the administrative commands
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- # such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
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- # security of read only slaves using 'rename-command' to shadow all the
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- # administrative / dangerous commands.
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- slave-read-only yes
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-
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- # Replication SYNC strategy: disk or socket.
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- #
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- # -------------------------------------------------------
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- # WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
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- # -------------------------------------------------------
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- #
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- # New slaves and reconnecting slaves that are not able to continue the replication
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- # process just receiving differences, need to do what is called a "full
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- # synchronization". An RDB file is transmitted from the master to the slaves.
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- # The transmission can happen in two different ways:
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- #
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- # 1) Disk-backed: The Redis master creates a new process that writes the RDB
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- # file on disk. Later the file is transferred by the parent
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- # process to the slaves incrementally.
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- # 2) Diskless: The Redis master creates a new process that directly writes the
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- # RDB file to slave sockets, without touching the disk at all.
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- #
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- # With disk-backed replication, while the RDB file is generated, more slaves
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- # can be queued and served with the RDB file as soon as the current child producing
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- # the RDB file finishes its work. With diskless replication instead once
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- # the transfer starts, new slaves arriving will be queued and a new transfer
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- # will start when the current one terminates.
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- #
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- # When diskless replication is used, the master waits a configurable amount of
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- # time (in seconds) before starting the transfer in the hope that multiple slaves
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- # will arrive and the transfer can be parallelized.
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- #
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- # With slow disks and fast (large bandwidth) networks, diskless replication
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- # works better.
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- repl-diskless-sync no
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-
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- # When diskless replication is enabled, it is possible to configure the delay
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- # the server waits in order to spawn the child that transfers the RDB via socket
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- # to the slaves.
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- #
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- # This is important since once the transfer starts, it is not possible to serve
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- # new slaves arriving, that will be queued for the next RDB transfer, so the server
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- # waits a delay in order to let more slaves arrive.
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- #
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- # The delay is specified in seconds, and by default is 5 seconds. To disable
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- # it entirely just set it to 0 seconds and the transfer will start ASAP.
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- repl-diskless-sync-delay 5
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-
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- # Slaves send PINGs to server in a predefined interval. It's possible to change
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- # this interval with the repl_ping_slave_period option. The default value is 10
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- # seconds.
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- #
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- # repl-ping-slave-period 10
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-
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- # The following option sets the replication timeout for:
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- #
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- # 1) Bulk transfer I/O during SYNC, from the point of view of slave.
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- # 2) Master timeout from the point of view of slaves (data, pings).
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- # 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
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- #
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- # It is important to make sure that this value is greater than the value
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- # specified for repl-ping-slave-period otherwise a timeout will be detected
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- # every time there is low traffic between the master and the slave.
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- #
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- # repl-timeout 60
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-
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- # Disable TCP_NODELAY on the slave socket after SYNC?
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- #
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- # If you select "yes" Redis will use a smaller number of TCP packets and
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- # less bandwidth to send data to slaves. But this can add a delay for
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- # the data to appear on the slave side, up to 40 milliseconds with
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- # Linux kernels using a default configuration.
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- #
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- # If you select "no" the delay for data to appear on the slave side will
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- # be reduced but more bandwidth will be used for replication.
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- #
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- # By default we optimize for low latency, but in very high traffic conditions
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- # or when the master and slaves are many hops away, turning this to "yes" may
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- # be a good idea.
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- repl-disable-tcp-nodelay no
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-
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- # Set the replication backlog size. The backlog is a buffer that accumulates
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- # slave data when slaves are disconnected for some time, so that when a slave
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- # wants to reconnect again, often a full resync is not needed, but a partial
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- # resync is enough, just passing the portion of data the slave missed while
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- # disconnected.
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- #
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- # The bigger the replication backlog, the longer the time the slave can be
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- # disconnected and later be able to perform a partial resynchronization.
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- #
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- # The backlog is only allocated once there is at least a slave connected.
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- #
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- # repl-backlog-size 1mb
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-
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- # After a master has no longer connected slaves for some time, the backlog
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- # will be freed. The following option configures the amount of seconds that
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- # need to elapse, starting from the time the last slave disconnected, for
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- # the backlog buffer to be freed.
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- #
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- # A value of 0 means to never release the backlog.
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- #
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- # repl-backlog-ttl 3600
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-
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- # The slave priority is an integer number published by Redis in the INFO output.
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- # It is used by Redis Sentinel in order to select a slave to promote into a
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- # master if the master is no longer working correctly.
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- #
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- # A slave with a low priority number is considered better for promotion, so
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- # for instance if there are three slaves with priority 10, 100, 25 Sentinel will
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- # pick the one with priority 10, that is the lowest.
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- #
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- # However a special priority of 0 marks the slave as not able to perform the
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- # role of master, so a slave with priority of 0 will never be selected by
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- # Redis Sentinel for promotion.
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- #
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- # By default the priority is 100.
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- slave-priority 100
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-
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- # It is possible for a master to stop accepting writes if there are less than
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- # N slaves connected, having a lag less or equal than M seconds.
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- #
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- # The N slaves need to be in "online" state.
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- #
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- # The lag in seconds, that must be <= the specified value, is calculated from
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- # the last ping received from the slave, that is usually sent every second.
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- #
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- # This option does not GUARANTEE that N replicas will accept the write, but
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- # will limit the window of exposure for lost writes in case not enough slaves
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- # are available, to the specified number of seconds.
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- #
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- # For example to require at least 3 slaves with a lag <= 10 seconds use:
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- #
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- # min-slaves-to-write 3
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- # min-slaves-max-lag 10
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- #
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- # Setting one or the other to 0 disables the feature.
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- #
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- # By default min-slaves-to-write is set to 0 (feature disabled) and
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- # min-slaves-max-lag is set to 10.
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-
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- ################################## SECURITY ###################################
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-
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- # Require clients to issue AUTH <PASSWORD> before processing any other
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- # commands. This might be useful in environments in which you do not trust
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- # others with access to the host running redis-server.
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- #
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- # This should stay commented out for backward compatibility and because most
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- # people do not need auth (e.g. they run their own servers).
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- #
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- # Warning: since Redis is pretty fast an outside user can try up to
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- # 150k passwords per second against a good box. This means that you should
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- # use a very strong password otherwise it will be very easy to break.
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- #
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- # requirepass foobared
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-
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- # Command renaming.
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- #
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- # It is possible to change the name of dangerous commands in a shared
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- # environment. For instance the CONFIG command may be renamed into something
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- # hard to guess so that it will still be available for internal-use tools
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- # but not available for general clients.
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- #
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- # Example:
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- #
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- # rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
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- #
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- # It is also possible to completely kill a command by renaming it into
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- # an empty string:
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- #
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- # rename-command CONFIG ""
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- #
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- # Please note that changing the name of commands that are logged into the
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- # AOF file or transmitted to slaves may cause problems.
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-
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- ################################### LIMITS ####################################
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-
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- # Set the max number of connected clients at the same time. By default
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- # this limit is set to 10000 clients, however if the Redis server is not
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- # able to configure the process file limit to allow for the specified limit
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- # the max number of allowed clients is set to the current file limit
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- # minus 32 (as Redis reserves a few file descriptors for internal uses).
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- #
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| |
- # 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 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
|
| |
-
|
| |
- # 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 ""
|
| |
-
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- ############################### ADVANCED CONFIG ###############################
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-
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- # Hashes are encoded using a memory efficient data structure when they have a
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- # small number of entries, and the biggest entry does not exceed a given
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- # threshold. These thresholds can be configured using the following directives.
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- hash-max-ziplist-entries 512
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- hash-max-ziplist-value 64
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-
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- # Similarly to hashes, small lists are also encoded in a special way in order
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- # to save a lot of space. The special representation is only used when
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- # you are under the following limits:
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- list-max-ziplist-entries 512
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- list-max-ziplist-value 64
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-
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- # Sets have a special encoding in just one case: when a set is composed
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- # of just strings that happen to be integers in radix 10 in the range
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- # of 64 bit signed integers.
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- # The following configuration setting sets the limit in the size of the
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- # set in order to use this special memory saving encoding.
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- set-max-intset-entries 512
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-
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- # Similarly to hashes and lists, sorted sets are also specially encoded in
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- # order to save a lot of space. This encoding is only used when the length and
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- # elements of a sorted set are below the following limits:
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- zset-max-ziplist-entries 128
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- zset-max-ziplist-value 64
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-
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- # HyperLogLog sparse representation bytes limit. The limit includes the
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- # 16 bytes header. When an HyperLogLog using the sparse representation crosses
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- # this limit, it is converted into the dense representation.
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- #
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- # A value greater than 16000 is totally useless, since at that point the
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- # dense representation is more memory efficient.
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- #
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- # The suggested value is ~ 3000 in order to have the benefits of
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- # the space efficient encoding without slowing down too much PFADD,
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- # which is O(N) with the sparse encoding. The value can be raised to
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- # ~ 10000 when CPU is not a concern, but space is, and the data set is
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- # composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
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- hll-sparse-max-bytes 3000
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-
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- # Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
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- # order to help rehashing the main Redis hash table (the one mapping top-level
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- # keys to values). The hash table implementation Redis uses (see dict.c)
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- # performs a lazy rehashing: the more operation you run into a hash table
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- # that is rehashing, the more rehashing "steps" are performed, so if the
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- # server is idle the rehashing is never complete and some more memory is used
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- # by the hash table.
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- #
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- # The default is to use this millisecond 10 times every second in order to
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- # actively rehash the main dictionaries, freeing memory when possible.
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- #
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- # If unsure:
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- # use "activerehashing no" if you have hard latency requirements and it is
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- # not a good thing in your environment that Redis can reply from time to time
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- # to queries with 2 milliseconds delay.
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- #
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- # use "activerehashing yes" if you don't have such hard requirements but
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- # want to free memory asap when possible.
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- activerehashing yes
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-
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- # The client output buffer limits can be used to force disconnection of clients
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- # that are not reading data from the server fast enough for some reason (a
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- # common reason is that a Pub/Sub client can't consume messages as fast as the
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- # publisher can produce them).
|
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- #
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- # The limit can be set differently for the three different classes of clients:
|
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- #
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- # normal -> normal clients including MONITOR clients
|
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- # slave -> slave clients
|
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- # pubsub -> clients subscribed to at least one pubsub channel or pattern
|
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- #
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- # The syntax of every client-output-buffer-limit directive is the following:
|
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- #
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- # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
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- #
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- # A client is immediately disconnected once the hard limit is reached, or if
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- # the soft limit is reached and remains reached for the specified number of
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- # seconds (continuously).
|
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- # So for instance if the hard limit is 32 megabytes and the soft limit is
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- # 16 megabytes / 10 seconds, the client will get disconnected immediately
|
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- # if the size of the output buffers reach 32 megabytes, but will also get
|
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- # disconnected if the client reaches 16 megabytes and continuously overcomes
|
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- # the limit for 10 seconds.
|
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- #
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- # By default normal clients are not limited because they don't receive data
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- # without asking (in a push way), but just after a request, so only
|
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- # asynchronous clients may create a scenario where data is requested faster
|
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- # than it can read.
|
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- #
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- # Instead there is a default limit for pubsub and slave clients, since
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- # subscribers and slaves receive data in a push fashion.
|
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- #
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- # Both the hard or the soft limit can be disabled by setting them to zero.
|
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- client-output-buffer-limit normal 0 0 0
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- client-output-buffer-limit slave 256mb 64mb 60
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- client-output-buffer-limit pubsub 32mb 8mb 60
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-
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- # Redis calls an internal function to perform many background tasks, like
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- # closing connections of clients in timeout, purging expired keys that are
|
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- # never requested, and so forth.
|
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- #
|
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- # Not all tasks are performed with the same frequency, but Redis checks for
|
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- # tasks to perform according to the specified "hz" value.
|
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- #
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- # By default "hz" is set to 10. Raising the value will use more CPU when
|
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- # Redis is idle, but at the same time will make Redis more responsive when
|
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- # there are many keys expiring at the same time, and timeouts may be
|
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- # handled with more precision.
|
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- #
|
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- # The range is between 1 and 500, however a value over 100 is usually not
|
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- # a good idea. Most users should use the default of 10 and raise this up to
|
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- # 100 only in environments where very low latency is required.
|
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- hz 10
|
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-
|
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- # 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
|
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So far it wasn't worth it trying to achieve one process per container in our docker-compose stack, because it was meant only for development. However, now there is a possibility to run Copr in OpenShift (be it production instance or just one-time deployment for CI via beaker tests). Several things need to be done before we can do so ...
This PR doesn't change very much, I want to proceed step by step. Now I am splitting Redis service from
frontend
andbackend
into separate containersfrontend_redis
andbackend_redis
. Also, I am throwing awayuwsgi
service from backend because it was there for keygen, which a) is not working b) should also be in its own container, and I am also moving nginx from backend tobackend_nginx
container.There is a lot of services remaining, that need to be split into their own containers, but let's do them in the next iteration.