1812 lines
81 KiB
Plaintext
1812 lines
81 KiB
Plaintext
# Redis configuration file example.
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#
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# Note that in order to read the configuration file, Redis must be
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# started with the file path as first argument:
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#
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# ./redis-server /path/to/redis.conf
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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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################################## INCLUDES ###################################
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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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################################## MODULES #####################################
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# Load modules at startup. If the server is not able to load modules
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# it will abort. It is possible to use multiple loadmodule directives.
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#
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# loadmodule /path/to/my_module.so
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# loadmodule /path/to/other_module.so
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################################## NETWORK #####################################
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# By default, if no "bind" configuration directive is specified, Redis listens
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# for connections from all the network interfaces available on the server.
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# It is possible to listen to just one or multiple selected interfaces using
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# the "bind" configuration directive, followed by one or 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 ::1
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#
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# ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
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# internet, binding to all the interfaces is dangerous and will expose the
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# instance to everybody on the internet. So by default we uncomment the
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# following bind directive, that will force Redis to listen only into
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# the IPv4 loopback interface address (this means Redis will be able to
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# accept connections only from clients running into the same computer it
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# is running).
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#
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# IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
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# JUST COMMENT THE FOLLOWING LINE.
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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bind 127.0.0.1
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# Protected mode is a layer of security protection, in order to avoid that
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# Redis instances left open on the internet are accessed and exploited.
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#
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# When protected mode is on and if:
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#
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# 1) The server is not binding explicitly to a set of addresses using the
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# "bind" directive.
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# 2) No password is configured.
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#
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# The server only accepts connections from clients connecting from the
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# IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
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# sockets.
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#
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# By default protected mode is enabled. You should disable it only if
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# you are sure you want clients from other hosts to connect to Redis
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# even if no authentication is configured, nor a specific set of interfaces
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# are explicitly listed using the "bind" directive.
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protected-mode yes
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# Accept connections on the specified port, default is 6379 (IANA #815344).
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# If port 0 is specified Redis will not listen on a TCP socket.
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port 6379
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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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# Unix socket.
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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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# Close the connection after a client is idle for N seconds (0 to disable)
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timeout 0
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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 300 seconds, which is the new
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# Redis default starting with Redis 3.2.1.
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tcp-keepalive 300
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################################# TLS/SSL #####################################
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# By default, TLS/SSL is disabled. To enable it, the "tls-port" configuration
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# directive can be used to define TLS-listening ports. To enable TLS on the
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# default port, use:
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#
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# port 0
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# tls-port 6379
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# Configure a X.509 certificate and private key to use for authenticating the
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# server to connected clients, masters or cluster peers. These files should be
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# PEM formatted.
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#
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# tls-cert-file redis.crt
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# tls-key-file redis.key
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# Configure a DH parameters file to enable Diffie-Hellman (DH) key exchange:
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#
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# tls-dh-params-file redis.dh
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# Configure a CA certificate(s) bundle or directory to authenticate TLS/SSL
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# clients and peers. Redis requires an explicit configuration of at least one
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# of these, and will not implicitly use the system wide configuration.
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#
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# tls-ca-cert-file ca.crt
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# tls-ca-cert-dir /etc/ssl/certs
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# By default, clients (including replica servers) on a TLS port are required
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# to authenticate using valid client side certificates.
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#
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# It is possible to disable authentication using this directive.
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#
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# tls-auth-clients no
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# By default, a Redis replica does not attempt to establish a TLS connection
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# with its master.
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#
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# Use the following directive to enable TLS on replication links.
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#
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# tls-replication yes
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# By default, the Redis Cluster bus uses a plain TCP connection. To enable
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# TLS for the bus protocol, use the following directive:
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#
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# tls-cluster yes
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# Explicitly specify TLS versions to support. Allowed values are case insensitive
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# and include "TLSv1", "TLSv1.1", "TLSv1.2", "TLSv1.3" (OpenSSL >= 1.1.1) or
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# any combination. To enable only TLSv1.2 and TLSv1.3, use:
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#
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# tls-protocols "TLSv1.2 TLSv1.3"
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# Configure allowed ciphers. See the ciphers(1ssl) manpage for more information
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# about the syntax of this string.
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#
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# Note: this configuration applies only to <= TLSv1.2.
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#
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# tls-ciphers DEFAULT:!MEDIUM
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# Configure allowed TLSv1.3 ciphersuites. See the ciphers(1ssl) manpage for more
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# information about the syntax of this string, and specifically for TLSv1.3
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# ciphersuites.
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#
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# tls-ciphersuites TLS_CHACHA20_POLY1305_SHA256
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# When choosing a cipher, use the server's preference instead of the client
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# preference. By default, the server follows the client's preference.
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#
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# tls-prefer-server-ciphers yes
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################################# GENERAL #####################################
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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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# If you run Redis from upstart or systemd, Redis can interact with your
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# supervision tree. Options:
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# supervised no - no supervision interaction
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# supervised upstart - signal upstart by putting Redis into SIGSTOP mode
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# supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
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# supervised auto - detect upstart or systemd method based on
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# UPSTART_JOB or NOTIFY_SOCKET environment variables
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# Note: these supervision methods only signal "process is ready."
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# They do not enable continuous liveness pings back to your supervisor.
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supervised no
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# If a pid file is specified, Redis writes it where specified at startup
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# and removes it at exit.
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#
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# When the server runs non daemonized, no pid file is created if none is
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# specified in the configuration. When the server is daemonized, the pid file
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# is used even if not specified, defaulting to "/var/run/redis.pid".
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#
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# Creating a pid file is best effort: if Redis is not able to create it
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# nothing bad happens, the server will start and run normally.
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pidfile /var/run/redis_6379.pid
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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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# 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 ""
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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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# Specify the syslog identity.
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# syslog-ident redis
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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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# 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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# By default Redis shows an ASCII art logo only when started to log to the
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# standard output and if the standard output is a TTY. Basically this means
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# that normally a logo is displayed only in interactive sessions.
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#
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# However it is possible to force the pre-4.0 behavior and always show a
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# ASCII art logo in startup logs by setting the following option to yes.
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always-show-logo yes
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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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save 900 1
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save 300 10
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save 60 10000
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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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# 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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# 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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# The filename where to dump the DB
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dbfilename dump.rdb
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# Remove RDB files used by replication in instances without persistence
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# enabled. By default this option is disabled, however there are environments
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# where for regulations or other security concerns, RDB files persisted on
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# disk by masters in order to feed replicas, or stored on disk by replicas
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# in order to load them for the initial synchronization, should be deleted
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# ASAP. Note that this option ONLY WORKS in instances that have both AOF
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# and RDB persistence disabled, otherwise is completely ignored.
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#
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# An alternative (and sometimes better) way to obtain the same effect is
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# to use diskless replication on both master and replicas instances. However
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# in the case of replicas, diskless is not always an option.
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rdb-del-sync-files no
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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 ./
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################################# REPLICATION #################################
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# Master-Replica replication. Use replicaof 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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# +------------------+ +---------------+
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# | Master | ---> | Replica |
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# | (receive writes) | | (exact copy) |
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# +------------------+ +---------------+
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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 replicas.
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# 2) Redis replicas 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 replicas automatically try to reconnect to masters
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# and resynchronize with them.
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#
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# replicaof <masterip> <masterport>
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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 replica to authenticate before
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# starting the replication synchronization process, otherwise the master will
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# refuse the replica request.
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#
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# masterauth <master-password>
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#
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# However this is not enough if you are using Redis ACLs (for Redis version
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# 6 or greater), and the default user is not capable of running the PSYNC
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# command and/or other commands needed for replication. In this case it's
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# better to configure a special user to use with replication, and specify the
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# masteruser configuration as such:
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#
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# masteruser <username>
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#
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# When masteruser is specified, the replica will authenticate against its
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# master using the new AUTH form: AUTH <username> <password>.
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# When a replica loses its connection with the master, or when the replication
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# is still in progress, the replica can act in two different ways:
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#
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# 1) if replica-serve-stale-data is set to 'yes' (the default) the replica 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 replica-serve-stale-data is set to 'no' the replica 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, replicaOF, AUTH, PING, SHUTDOWN, REPLCONF, ROLE, CONFIG,
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# SUBSCRIBE, UNSUBSCRIBE, PSUBSCRIBE, PUNSUBSCRIBE, PUBLISH, PUBSUB,
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# COMMAND, POST, HOST: and LATENCY.
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#
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replica-serve-stale-data yes
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# You can configure a replica instance to accept writes or not. Writing against
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# a replica instance may be useful to store some ephemeral data (because data
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# written on a replica 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 replicas are read-only.
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#
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# Note: read only replicas 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 replica 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 replicas using 'rename-command' to shadow all the
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# administrative / dangerous commands.
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replica-read-only yes
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# Replication SYNC strategy: disk or socket.
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#
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# New replicas and reconnecting replicas that are not able to continue the
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# replication process just receiving differences, need to do what is called a
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# "full synchronization". An RDB file is transmitted from the master to the
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# replicas.
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#
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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 replicas 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 replica 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 replicas
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# can be queued and served with the RDB file as soon as the current child
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# producing the RDB file finishes its work. With diskless replication instead
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# once the transfer starts, new replicas arriving will be queued and a new
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# transfer 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
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# replicas 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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# 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 replicas.
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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 replicas arriving, that will be queued for the next RDB transfer, so the
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# server waits a delay in order to let more replicas 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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# WARNING: RDB diskless load is experimental. Since in this setup the replica
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# does not immediately store an RDB on disk, it may cause data loss during
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# failovers. RDB diskless load + Redis modules not handling I/O reads may also
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# cause Redis to abort in case of I/O errors during the initial synchronization
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# stage with the master. Use only if your do what you are doing.
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# -----------------------------------------------------------------------------
|
|
#
|
|
# Replica can load the RDB it reads from the replication link directly from the
|
|
# socket, or store the RDB to a file and read that file after it was completely
|
|
# recived from the master.
|
|
#
|
|
# In many cases the disk is slower than the network, and storing and loading
|
|
# the RDB file may increase replication time (and even increase the master's
|
|
# Copy on Write memory and salve buffers).
|
|
# However, parsing the RDB file directly from the socket may mean that we have
|
|
# to flush the contents of the current database before the full rdb was
|
|
# received. For this reason we have the following options:
|
|
#
|
|
# "disabled" - Don't use diskless load (store the rdb file to the disk first)
|
|
# "on-empty-db" - Use diskless load only when it is completely safe.
|
|
# "swapdb" - Keep a copy of the current db contents in RAM while parsing
|
|
# the data directly from the socket. note that this requires
|
|
# sufficient memory, if you don't have it, you risk an OOM kill.
|
|
repl-diskless-load disabled
|
|
|
|
# Replicas send PINGs to server in a predefined interval. It's possible to
|
|
# change this interval with the repl_ping_replica_period option. The default
|
|
# value is 10 seconds.
|
|
#
|
|
# repl-ping-replica-period 10
|
|
|
|
# The following option sets the replication timeout for:
|
|
#
|
|
# 1) Bulk transfer I/O during SYNC, from the point of view of replica.
|
|
# 2) Master timeout from the point of view of replicas (data, pings).
|
|
# 3) Replica timeout from the point of view of masters (REPLCONF ACK pings).
|
|
#
|
|
# It is important to make sure that this value is greater than the value
|
|
# specified for repl-ping-replica-period otherwise a timeout will be detected
|
|
# every time there is low traffic between the master and the replica.
|
|
#
|
|
# repl-timeout 60
|
|
|
|
# Disable TCP_NODELAY on the replica socket after SYNC?
|
|
#
|
|
# If you select "yes" Redis will use a smaller number of TCP packets and
|
|
# less bandwidth to send data to replicas. But this can add a delay for
|
|
# the data to appear on the replica side, up to 40 milliseconds with
|
|
# Linux kernels using a default configuration.
|
|
#
|
|
# If you select "no" the delay for data to appear on the replica 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 replicas 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
|
|
# replica data when replicas are disconnected for some time, so that when a
|
|
# replica wants to reconnect again, often a full resync is not needed, but a
|
|
# partial resync is enough, just passing the portion of data the replica
|
|
# missed while disconnected.
|
|
#
|
|
# The bigger the replication backlog, the longer the time the replica can be
|
|
# disconnected and later be able to perform a partial resynchronization.
|
|
#
|
|
# The backlog is only allocated once there is at least a replica connected.
|
|
#
|
|
# repl-backlog-size 1mb
|
|
|
|
# After a master has no longer connected replicas for some time, the backlog
|
|
# will be freed. The following option configures the amount of seconds that
|
|
# need to elapse, starting from the time the last replica disconnected, for
|
|
# the backlog buffer to be freed.
|
|
#
|
|
# Note that replicas never free the backlog for timeout, since they may be
|
|
# promoted to masters later, and should be able to correctly "partially
|
|
# resynchronize" with the replicas: hence they should always accumulate backlog.
|
|
#
|
|
# A value of 0 means to never release the backlog.
|
|
#
|
|
# repl-backlog-ttl 3600
|
|
|
|
# The replica priority is an integer number published by Redis in the INFO
|
|
# output. It is used by Redis Sentinel in order to select a replica to promote
|
|
# into a master if the master is no longer working correctly.
|
|
#
|
|
# A replica with a low priority number is considered better for promotion, so
|
|
# for instance if there are three replicas 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 replica as not able to perform the
|
|
# role of master, so a replica with priority of 0 will never be selected by
|
|
# Redis Sentinel for promotion.
|
|
#
|
|
# By default the priority is 100.
|
|
replica-priority 100
|
|
|
|
# It is possible for a master to stop accepting writes if there are less than
|
|
# N replicas connected, having a lag less or equal than M seconds.
|
|
#
|
|
# The N replicas 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 replica, that is usually sent every second.
|
|
#
|
|
# This option does not GUARANTEE that N replicas will accept the write, but
|
|
# will limit the window of exposure for lost writes in case not enough replicas
|
|
# are available, to the specified number of seconds.
|
|
#
|
|
# For example to require at least 3 replicas with a lag <= 10 seconds use:
|
|
#
|
|
# min-replicas-to-write 3
|
|
# min-replicas-max-lag 10
|
|
#
|
|
# Setting one or the other to 0 disables the feature.
|
|
#
|
|
# By default min-replicas-to-write is set to 0 (feature disabled) and
|
|
# min-replicas-max-lag is set to 10.
|
|
|
|
# A Redis master is able to list the address and port of the attached
|
|
# replicas in different ways. For example the "INFO replication" section
|
|
# offers this information, which is used, among other tools, by
|
|
# Redis Sentinel in order to discover replica instances.
|
|
# Another place where this info is available is in the output of the
|
|
# "ROLE" command of a master.
|
|
#
|
|
# The listed IP and address normally reported by a replica is obtained
|
|
# in the following way:
|
|
#
|
|
# IP: The address is auto detected by checking the peer address
|
|
# of the socket used by the replica to connect with the master.
|
|
#
|
|
# Port: The port is communicated by the replica during the replication
|
|
# handshake, and is normally the port that the replica is using to
|
|
# listen for connections.
|
|
#
|
|
# However when port forwarding or Network Address Translation (NAT) is
|
|
# used, the replica may be actually reachable via different IP and port
|
|
# pairs. The following two options can be used by a replica in order to
|
|
# report 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.
|
|
#
|
|
# replica-announce-ip 5.5.5.5
|
|
# replica-announce-port 1234
|
|
|
|
############################### KEYS TRACKING #################################
|
|
|
|
# Redis implements server assisted support for client side caching of values.
|
|
# This is implemented using an invalidation table that remembers, using
|
|
# 16 millions of slots, what clients may have certain subsets of keys. In turn
|
|
# this is used in order to send invalidation messages to clients. Please
|
|
# to understand more about the feature check this page:
|
|
#
|
|
# https://redis.io/topics/client-side-caching
|
|
#
|
|
# When tracking is enabled for a client, all the read only queries are assumed
|
|
# to be cached: this will force Redis to store information in the invalidation
|
|
# table. When keys are modified, such information is flushed away, and
|
|
# invalidation messages are sent to the clients. However if the workload is
|
|
# heavily dominated by reads, Redis could use more and more memory in order
|
|
# to track the keys fetched by many clients.
|
|
#
|
|
# For this reason it is possible to configure a maximum fill value for the
|
|
# invalidation table. By default it is set to 1M of keys, and once this limit
|
|
# is reached, Redis will start to evict keys in the invalidation table
|
|
# even if they were not modified, just to reclaim memory: this will in turn
|
|
# force the clients to invalidate the cached values. Basically the table
|
|
# maximum size is a trade off between the memory you want to spend server
|
|
# side to track information about who cached what, and the ability of clients
|
|
# to retain cached objects in memory.
|
|
#
|
|
# If you set the value to 0, it means there are no limits, and Redis will
|
|
# retain as many keys as needed in the invalidation table.
|
|
# In the "stats" INFO section, you can find information about the number of
|
|
# keys in the invalidation table at every given moment.
|
|
#
|
|
# Note: when key tracking is used in broadcasting mode, no memory is used
|
|
# in the server side so this setting is useless.
|
|
#
|
|
# tracking-table-max-keys 1000000
|
|
|
|
################################## SECURITY ###################################
|
|
|
|
# Warning: since Redis is pretty fast an outside user can try up to
|
|
# 1 million passwords per second against a modern box. This means that you
|
|
# should use very strong passwords, otherwise they will be very easy to break.
|
|
# Note that because the password is really a shared secret between the client
|
|
# and the server, and should not be memorized by any human, the password
|
|
# can be easily a long string from /dev/urandom or whatever, so by using a
|
|
# long and unguessable password no brute force attack will be possible.
|
|
|
|
# Redis ACL users are defined in the following format:
|
|
#
|
|
# user <username> ... acl rules ...
|
|
#
|
|
# For example:
|
|
#
|
|
# user worker +@list +@connection ~jobs:* on >ffa9203c493aa99
|
|
#
|
|
# The special username "default" is used for new connections. If this user
|
|
# has the "nopass" rule, then new connections will be immediately authenticated
|
|
# as the "default" user without the need of any password provided via the
|
|
# AUTH command. Otherwise if the "default" user is not flagged with "nopass"
|
|
# the connections will start in not authenticated state, and will require
|
|
# AUTH (or the HELLO command AUTH option) in order to be authenticated and
|
|
# start to work.
|
|
#
|
|
# The ACL rules that describe what an user can do are the following:
|
|
#
|
|
# on Enable the user: it is possible to authenticate as this user.
|
|
# off Disable the user: it's no longer possible to authenticate
|
|
# with this user, however the already authenticated connections
|
|
# will still work.
|
|
# +<command> Allow the execution of that command
|
|
# -<command> Disallow the execution of that command
|
|
# +@<category> Allow the execution of all the commands in such category
|
|
# with valid categories are like @admin, @set, @sortedset, ...
|
|
# and so forth, see the full list in the server.c file where
|
|
# the Redis command table is described and defined.
|
|
# The special category @all means all the commands, but currently
|
|
# present in the server, and that will be loaded in the future
|
|
# via modules.
|
|
# +<command>|subcommand Allow a specific subcommand of an otherwise
|
|
# disabled command. Note that this form is not
|
|
# allowed as negative like -DEBUG|SEGFAULT, but
|
|
# only additive starting with "+".
|
|
# allcommands Alias for +@all. Note that it implies the ability to execute
|
|
# all the future commands loaded via the modules system.
|
|
# nocommands Alias for -@all.
|
|
# ~<pattern> Add a pattern of keys that can be mentioned as part of
|
|
# commands. For instance ~* allows all the keys. The pattern
|
|
# is a glob-style pattern like the one of KEYS.
|
|
# It is possible to specify multiple patterns.
|
|
# allkeys Alias for ~*
|
|
# resetkeys Flush the list of allowed keys patterns.
|
|
# ><password> Add this passowrd to the list of valid password for the user.
|
|
# For example >mypass will add "mypass" to the list.
|
|
# This directive clears the "nopass" flag (see later).
|
|
# <<password> Remove this password from the list of valid passwords.
|
|
# nopass All the set passwords of the user are removed, and the user
|
|
# is flagged as requiring no password: it means that every
|
|
# password will work against this user. If this directive is
|
|
# used for the default user, every new connection will be
|
|
# immediately authenticated with the default user without
|
|
# any explicit AUTH command required. Note that the "resetpass"
|
|
# directive will clear this condition.
|
|
# resetpass Flush the list of allowed passwords. Moreover removes the
|
|
# "nopass" status. After "resetpass" the user has no associated
|
|
# passwords and there is no way to authenticate without adding
|
|
# some password (or setting it as "nopass" later).
|
|
# reset Performs the following actions: resetpass, resetkeys, off,
|
|
# -@all. The user returns to the same state it has immediately
|
|
# after its creation.
|
|
#
|
|
# ACL rules can be specified in any order: for instance you can start with
|
|
# passwords, then flags, or key patterns. However note that the additive
|
|
# and subtractive rules will CHANGE MEANING depending on the ordering.
|
|
# For instance see the following example:
|
|
#
|
|
# user alice on +@all -DEBUG ~* >somepassword
|
|
#
|
|
# This will allow "alice" to use all the commands with the exception of the
|
|
# DEBUG command, since +@all added all the commands to the set of the commands
|
|
# alice can use, and later DEBUG was removed. However if we invert the order
|
|
# of two ACL rules the result will be different:
|
|
#
|
|
# user alice on -DEBUG +@all ~* >somepassword
|
|
#
|
|
# Now DEBUG was removed when alice had yet no commands in the set of allowed
|
|
# commands, later all the commands are added, so the user will be able to
|
|
# execute everything.
|
|
#
|
|
# Basically ACL rules are processed left-to-right.
|
|
#
|
|
# For more information about ACL configuration please refer to
|
|
# the Redis web site at https://redis.io/topics/acl
|
|
|
|
# ACL LOG
|
|
#
|
|
# The ACL Log tracks failed commands and authentication events associated
|
|
# with ACLs. The ACL Log is useful to troubleshoot failed commands blocked
|
|
# by ACLs. The ACL Log is stored in memory. You can reclaim memory with
|
|
# ACL LOG RESET. Define the maximum entry length of the ACL Log below.
|
|
acllog-max-len 128
|
|
|
|
# Using an external ACL file
|
|
#
|
|
# Instead of configuring users here in this file, it is possible to use
|
|
# a stand-alone file just listing users. The two methods cannot be mixed:
|
|
# if you configure users here and at the same time you activate the exteranl
|
|
# ACL file, the server will refuse to start.
|
|
#
|
|
# The format of the external ACL user file is exactly the same as the
|
|
# format that is used inside redis.conf to describe users.
|
|
#
|
|
# aclfile /etc/redis/users.acl
|
|
|
|
# IMPORTANT NOTE: starting with Redis 6 "requirepass" is just a compatiblity
|
|
# layer on top of the new ACL system. The option effect will be just setting
|
|
# the password for the default user. Clients will still authenticate using
|
|
# AUTH <password> as usually, or more explicitly with AUTH default <password>
|
|
# if they follow the new protocol: both will work.
|
|
#
|
|
# requirepass foobared
|
|
|
|
# Command renaming (DEPRECATED).
|
|
#
|
|
# ------------------------------------------------------------------------
|
|
# WARNING: avoid using this option if possible. Instead use ACLs to remove
|
|
# commands from the default user, and put them only in some admin user you
|
|
# create for administrative purposes.
|
|
# ------------------------------------------------------------------------
|
|
#
|
|
# 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 replicas 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 replicas attached to an instance with maxmemory on,
|
|
# the size of the output buffers needed to feed the replicas are subtracted
|
|
# from the used memory count, so that network problems / resyncs will
|
|
# not trigger a loop where keys are evicted, and in turn the output
|
|
# buffer of replicas is full 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 replicas attached it is suggested that you set a lower
|
|
# limit for maxmemory so that there is some free RAM on the system for replica
|
|
# output buffers (but this is not needed if the policy is 'noeviction').
|
|
#
|
|
# maxmemory <bytes>
|
|
|
|
# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
|
|
# is reached. You can select one from the following behaviors:
|
|
#
|
|
# volatile-lru -> Evict using approximated LRU, only keys with an expire set.
|
|
# allkeys-lru -> Evict any key using approximated LRU.
|
|
# volatile-lfu -> Evict using approximated LFU, only keys with an expire set.
|
|
# allkeys-lfu -> Evict any key using approximated LFU.
|
|
# volatile-random -> Remove a random key having 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
|
|
|
|
# Starting from Redis 5, by default a replica will ignore its maxmemory setting
|
|
# (unless it is promoted to master after a failover or manually). It means
|
|
# that the eviction of keys will be just handled by the master, sending the
|
|
# DEL commands to the replica as keys evict in the master side.
|
|
#
|
|
# This behavior ensures that masters and replicas stay consistent, and is usually
|
|
# what you want, however if your replica is writable, or you want the replica
|
|
# to have a different memory setting, and you are sure all the writes performed
|
|
# to the replica are idempotent, then you may change this default (but be sure
|
|
# to understand what you are doing).
|
|
#
|
|
# Note that since the replica by default does not evict, it may end using more
|
|
# memory than the one set via maxmemory (there are certain buffers that may
|
|
# be larger on the replica, or data structures may sometimes take more memory
|
|
# and so forth). So make sure you monitor your replicas and make sure they
|
|
# have enough memory to never hit a real out-of-memory condition before the
|
|
# master hits the configured maxmemory setting.
|
|
#
|
|
# replica-ignore-maxmemory yes
|
|
|
|
# Redis reclaims expired keys in two ways: upon access when those keys are
|
|
# found to be expired, and also in background, in what is called the
|
|
# "active expire key". The key space is slowly and interactively scanned
|
|
# looking for expired keys to reclaim, so that it is possible to free memory
|
|
# of keys that are expired and will never be accessed again in a short time.
|
|
#
|
|
# The default effort of the expire cycle will try to avoid having more than
|
|
# ten percent of expired keys still in memory, and will try to avoid consuming
|
|
# more than 25% of total memory and to add latency to the system. However
|
|
# it is possible to increase the expire "effort" that is normally set to
|
|
# "1", to a greater value, up to the value "10". At its maximum value the
|
|
# system will use more CPU, longer cycles (and technically may introduce
|
|
# more latency), and will tollerate less already expired keys still present
|
|
# in the system. It's a tradeoff betweeen memory, CPU and latecy.
|
|
#
|
|
# active-expire-effort 1
|
|
|
|
############################# 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 the 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 a 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 replica performs a full resynchronization with
|
|
# its master, the content of the whole database is removed in order to
|
|
# load the RDB file just transferred.
|
|
#
|
|
# In all the above cases the default is 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
|
|
replica-lazy-flush no
|
|
|
|
# It is also possible, for the case when to replace the user code DEL calls
|
|
# with UNLINK calls is not easy, to modify the default behavior of the DEL
|
|
# command to act exactly like UNLINK, using the following configuration
|
|
# directive:
|
|
|
|
lazyfree-lazy-user-del no
|
|
|
|
################################ THREADED I/O #################################
|
|
|
|
# Redis is mostly single threaded, however there are certain threaded
|
|
# operations such as UNLINK, slow I/O accesses and other things that are
|
|
# performed on side threads.
|
|
#
|
|
# Now it is also possible to handle Redis clients socket reads and writes
|
|
# in different I/O threads. Since especially writing is so slow, normally
|
|
# Redis users use pipelining in order to speedup the Redis performances per
|
|
# core, and spawn multiple instances in order to scale more. Using I/O
|
|
# threads it is possible to easily speedup two times Redis without resorting
|
|
# to pipelining nor sharding of the instance.
|
|
#
|
|
# By default threading is disabled, we suggest enabling it only in machines
|
|
# that have at least 4 or more cores, leaving at least one spare core.
|
|
# Using more than 8 threads is unlikely to help much. We also recommend using
|
|
# threaded I/O only if you actually have performance problems, with Redis
|
|
# instances being able to use a quite big percentage of CPU time, otherwise
|
|
# there is no point in using this feature.
|
|
#
|
|
# So for instance if you have a four cores boxes, try to use 2 or 3 I/O
|
|
# threads, if you have a 8 cores, try to use 6 threads. In order to
|
|
# enable I/O threads use the following configuration directive:
|
|
#
|
|
# io-threads 4
|
|
#
|
|
# Setting io-threads to 1 will just use the main thread as usually.
|
|
# When I/O threads are enabled, we only use threads for writes, that is
|
|
# to thread the write(2) syscall and transfer the client buffers to the
|
|
# socket. However it is also possible to enable threading of reads and
|
|
# protocol parsing using the following configuration directive, by setting
|
|
# it to yes:
|
|
#
|
|
# io-threads-do-reads no
|
|
#
|
|
# Usually threading reads doesn't help much.
|
|
#
|
|
# NOTE 1: This configuration directive cannot be changed at runtime via
|
|
# CONFIG SET. Aso this feature currently does not work when SSL is
|
|
# enabled.
|
|
#
|
|
# NOTE 2: If you want to test the Redis speedup using redis-benchmark, make
|
|
# sure you also run the benchmark itself in threaded mode, using the
|
|
# --threads option to match the number of Redis theads, otherwise you'll not
|
|
# be able to notice the improvements.
|
|
|
|
############################## 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
|
|
|
|
# When rewriting the AOF file, Redis is able to use an RDB preamble in the
|
|
# AOF file for faster rewrites and recoveries. When this option is turned
|
|
# on the rewritten AOF file is composed of two different stanzas:
|
|
#
|
|
# [RDB file][AOF tail]
|
|
#
|
|
# When loading Redis recognizes that the AOF file starts with the "REDIS"
|
|
# string and loads the prefixed RDB file, and continues loading the AOF
|
|
# tail.
|
|
aof-use-rdb-preamble 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 ###############################
|
|
|
|
# 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 replica of a failing master will avoid to start a failover if its data
|
|
# looks too old.
|
|
#
|
|
# There is no simple way for a replica to actually have an exact measure of
|
|
# its "data age", so the following two checks are performed:
|
|
#
|
|
# 1) If there are multiple replicas able to failover, they exchange messages
|
|
# in order to try to give an advantage to the replica with the best
|
|
# replication offset (more data from the master processed).
|
|
# Replicas 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 replica computes the time of the last interaction with
|
|
# its master. This can be the last ping or command received (if the master
|
|
# is still in the "connected" state), or the time that elapsed since the
|
|
# disconnection with the master (if the replication link is currently down).
|
|
# If the last interaction is too old, the replica will not try to failover
|
|
# at all.
|
|
#
|
|
# The point "2" can be tuned by user. Specifically a replica will not perform
|
|
# the failover if, since the last interaction with the master, the time
|
|
# elapsed is greater than:
|
|
#
|
|
# (node-timeout * replica-validity-factor) + repl-ping-replica-period
|
|
#
|
|
# So for example if node-timeout is 30 seconds, and the replica-validity-factor
|
|
# is 10, and assuming a default repl-ping-replica-period of 10 seconds, the
|
|
# replica will not try to failover if it was not able to talk with the master
|
|
# for longer than 310 seconds.
|
|
#
|
|
# A large replica-validity-factor may allow replicas with too old data to failover
|
|
# a master, while a too small value may prevent the cluster from being able to
|
|
# elect a replica at all.
|
|
#
|
|
# For maximum availability, it is possible to set the replica-validity-factor
|
|
# to a value of 0, which means, that replicas 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-replica-validity-factor 10
|
|
|
|
# Cluster replicas are able to migrate to orphaned masters, that are masters
|
|
# that are left without working replicas. 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 replicas.
|
|
#
|
|
# Replicas migrate to orphaned masters only if there are still at least a
|
|
# given number of other working replicas for their old master. This number
|
|
# is the "migration barrier". A migration barrier of 1 means that a replica
|
|
# will migrate only if there is at least 1 other working replica for its master
|
|
# and so forth. It usually reflects the number of replicas you want for every
|
|
# master in your cluster.
|
|
#
|
|
# Default is 1 (replicas migrate only if their masters remain with at least
|
|
# one replica). 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
|
|
|
|
# This option, when set to yes, prevents replicas from trying to failover its
|
|
# master during master failures. However the master can still perform a
|
|
# manual failover, if forced to do so.
|
|
#
|
|
# This is useful in different scenarios, especially in the case of multiple
|
|
# data center operations, where we want one side to never be promoted if not
|
|
# in the case of a total DC failure.
|
|
#
|
|
# cluster-replica-no-failover no
|
|
|
|
# This option, when set to yes, allows nodes to serve read traffic while the
|
|
# the cluster is in a down state, as long as it believes it owns the slots.
|
|
#
|
|
# This is useful for two cases. The first case is for when an application
|
|
# doesn't require consistency of data during node failures or network partitions.
|
|
# One example of this is a cache, where as long as the node has the data it
|
|
# should be able to serve it.
|
|
#
|
|
# The second use case is for configurations that don't meet the recommended
|
|
# three shards but want to enable cluster mode and scale later. A
|
|
# master outage in a 1 or 2 shard configuration causes a read/write outage to the
|
|
# entire cluster without this option set, with it set there is only a write outage.
|
|
# Without a quorum of masters, slot ownership will not change automatically.
|
|
#
|
|
# cluster-allow-reads-when-down no
|
|
|
|
# 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 knows 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)
|
|
# t Stream commands
|
|
# m Key-miss events (Note: It is not included in the 'A' class)
|
|
# A Alias for g$lshzxet, so that the "AKE" string means all the events
|
|
# (Except key-miss events which are excluded from 'A' due to their
|
|
# unique nature).
|
|
#
|
|
# 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 ""
|
|
|
|
############################### GOPHER SERVER #################################
|
|
|
|
# Redis contains an implementation of the Gopher protocol, as specified in
|
|
# the RFC 1436 (https://www.ietf.org/rfc/rfc1436.txt).
|
|
#
|
|
# The Gopher protocol was very popular in the late '90s. It is an alternative
|
|
# to the web, and the implementation both server and client side is so simple
|
|
# that the Redis server has just 100 lines of code in order to implement this
|
|
# support.
|
|
#
|
|
# What do you do with Gopher nowadays? Well Gopher never *really* died, and
|
|
# lately there is a movement in order for the Gopher more hierarchical content
|
|
# composed of just plain text documents to be resurrected. Some want a simpler
|
|
# internet, others believe that the mainstream internet became too much
|
|
# controlled, and it's cool to create an alternative space for people that
|
|
# want a bit of fresh air.
|
|
#
|
|
# Anyway for the 10nth birthday of the Redis, we gave it the Gopher protocol
|
|
# as a gift.
|
|
#
|
|
# --- HOW IT WORKS? ---
|
|
#
|
|
# The Redis Gopher support uses the inline protocol of Redis, and specifically
|
|
# two kind of inline requests that were anyway illegal: an empty request
|
|
# or any request that starts with "/" (there are no Redis commands starting
|
|
# with such a slash). Normal RESP2/RESP3 requests are completely out of the
|
|
# path of the Gopher protocol implementation and are served as usually as well.
|
|
#
|
|
# If you open a connection to Redis when Gopher is enabled and send it
|
|
# a string like "/foo", if there is a key named "/foo" it is served via the
|
|
# Gopher protocol.
|
|
#
|
|
# In order to create a real Gopher "hole" (the name of a Gopher site in Gopher
|
|
# talking), you likely need a script like the following:
|
|
#
|
|
# https://github.com/antirez/gopher2redis
|
|
#
|
|
# --- SECURITY WARNING ---
|
|
#
|
|
# If you plan to put Redis on the internet in a publicly accessible address
|
|
# to server Gopher pages MAKE SURE TO SET A PASSWORD to the instance.
|
|
# Once a password is set:
|
|
#
|
|
# 1. The Gopher server (when enabled, not by default) will still serve
|
|
# content via Gopher.
|
|
# 2. However other commands cannot be called before the client will
|
|
# authenticate.
|
|
#
|
|
# So use the 'requirepass' option to protect your instance.
|
|
#
|
|
# To enable Gopher support uncomment the following line and set
|
|
# the option from no (the default) to yes.
|
|
#
|
|
# gopher-enabled no
|
|
|
|
############################### 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
|
|
|
|
# Streams macro node max size / items. The stream data structure is a radix
|
|
# tree of big nodes that encode multiple items inside. Using this configuration
|
|
# it is possible to configure how big a single node can be in bytes, and the
|
|
# maximum number of items it may contain before switching to a new node when
|
|
# appending new stream entries. If any of the following settings are set to
|
|
# zero, the limit is ignored, so for instance it is possible to set just a
|
|
# max entires limit by setting max-bytes to 0 and max-entries to the desired
|
|
# value.
|
|
stream-node-max-bytes 4096
|
|
stream-node-max-entries 100
|
|
|
|
# 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
|
|
# replica -> replica 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 replica clients, since
|
|
# subscribers and replicas receive data in a push fashion.
|
|
#
|
|
# Both the hard or the soft limit can be disabled by setting them to zero.
|
|
client-output-buffer-limit normal 0 0 0
|
|
client-output-buffer-limit replica 256mb 64mb 60
|
|
client-output-buffer-limit pubsub 32mb 8mb 60
|
|
|
|
# Client query buffers accumulate new commands. They are limited to a fixed
|
|
# amount by default in order to avoid that a protocol desynchronization (for
|
|
# instance due to a bug in the client) will lead to unbound memory usage in
|
|
# the query buffer. However you can configure it here if you have very special
|
|
# needs, such us huge multi/exec requests or alike.
|
|
#
|
|
# client-query-buffer-limit 1gb
|
|
|
|
# In the Redis protocol, bulk requests, that are, elements representing single
|
|
# strings, are normally limited ot 512 mb. However you can change this limit
|
|
# here.
|
|
#
|
|
# proto-max-bulk-len 512mb
|
|
|
|
# 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
|
|
|
|
# Normally it is useful to have an HZ value which is proportional to the
|
|
# number of clients connected. This is useful in order, for instance, to
|
|
# avoid too many clients are processed for each background task invocation
|
|
# in order to avoid latency spikes.
|
|
#
|
|
# Since the default HZ value by default is conservatively set to 10, Redis
|
|
# offers, and enables by default, the ability to use an adaptive HZ value
|
|
# which will temporary raise when there are many connected clients.
|
|
#
|
|
# When dynamic HZ is enabled, the actual configured HZ will be used
|
|
# as a baseline, but multiples of the configured HZ value will be actually
|
|
# used as needed once more clients are connected. In this way an idle
|
|
# instance will use very little CPU time while a busy instance will be
|
|
# more responsive.
|
|
dynamic-hz yes
|
|
|
|
# When a child rewrites the AOF file, if the following option is enabled
|
|
# the file will be fsync-ed every 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
|
|
|
|
# When redis saves RDB 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.
|
|
rdb-save-incremental-fsync yes
|
|
|
|
# Redis LFU eviction (see maxmemory setting) can be tuned. However it is a good
|
|
# idea to start with the default settings and only change them after investigating
|
|
# how to improve the performances and how the keys LFU change over time, which
|
|
# is possible to inspect via the OBJECT FREQ command.
|
|
#
|
|
# There are two tunable parameters in the Redis LFU implementation: the
|
|
# counter logarithm factor and the counter decay time. It is important to
|
|
# understand what the two parameters mean before changing them.
|
|
#
|
|
# The LFU counter is just 8 bits per key, it's maximum value is 255, so Redis
|
|
# uses a probabilistic increment with logarithmic behavior. Given the value
|
|
# of the old counter, when a key is accessed, the counter is incremented in
|
|
# this way:
|
|
#
|
|
# 1. A random number R between 0 and 1 is extracted.
|
|
# 2. A probability P is calculated as 1/(old_value*lfu_log_factor+1).
|
|
# 3. The counter is incremented only if R < P.
|
|
#
|
|
# The default lfu-log-factor is 10. This is a table of how the frequency
|
|
# counter changes with a different number of accesses with different
|
|
# logarithmic factors:
|
|
#
|
|
# +--------+------------+------------+------------+------------+------------+
|
|
# | factor | 100 hits | 1000 hits | 100K hits | 1M hits | 10M hits |
|
|
# +--------+------------+------------+------------+------------+------------+
|
|
# | 0 | 104 | 255 | 255 | 255 | 255 |
|
|
# +--------+------------+------------+------------+------------+------------+
|
|
# | 1 | 18 | 49 | 255 | 255 | 255 |
|
|
# +--------+------------+------------+------------+------------+------------+
|
|
# | 10 | 10 | 18 | 142 | 255 | 255 |
|
|
# +--------+------------+------------+------------+------------+------------+
|
|
# | 100 | 8 | 11 | 49 | 143 | 255 |
|
|
# +--------+------------+------------+------------+------------+------------+
|
|
#
|
|
# NOTE: The above table was obtained by running the following commands:
|
|
#
|
|
# redis-benchmark -n 1000000 incr foo
|
|
# redis-cli object freq foo
|
|
#
|
|
# NOTE 2: The counter initial value is 5 in order to give new objects a chance
|
|
# to accumulate hits.
|
|
#
|
|
# The counter decay time is the time, in minutes, that must elapse in order
|
|
# for the key counter to be divided by two (or decremented if it has a value
|
|
# less <= 10).
|
|
#
|
|
# The default value for the lfu-decay-time is 1. A Special value of 0 means to
|
|
# decay the counter every time it happens to be scanned.
|
|
#
|
|
# lfu-log-factor 10
|
|
# lfu-decay-time 1
|
|
|
|
########################### ACTIVE DEFRAGMENTATION #######################
|
|
#
|
|
# What is active defragmentation?
|
|
# -------------------------------
|
|
#
|
|
# Active (online) defragmentation allows a Redis server to compact the
|
|
# spaces left between small allocations and deallocations of data in memory,
|
|
# thus allowing to reclaim back memory.
|
|
#
|
|
# Fragmentation is a natural process that happens with every allocator (but
|
|
# less so with Jemalloc, fortunately) and certain workloads. Normally a server
|
|
# restart is needed in order to lower the fragmentation, or at least to flush
|
|
# away all the data and create it again. However thanks to this feature
|
|
# implemented by Oran Agra for Redis 4.0 this process can happen at runtime
|
|
# in an "hot" way, while the server is running.
|
|
#
|
|
# Basically when the fragmentation is over a certain level (see the
|
|
# configuration options below) Redis will start to create new copies of the
|
|
# values in contiguous memory regions by exploiting certain specific Jemalloc
|
|
# features (in order to understand if an allocation is causing fragmentation
|
|
# and to allocate it in a better place), and at the same time, will release the
|
|
# old copies of the data. This process, repeated incrementally for all the keys
|
|
# will cause the fragmentation to drop back to normal values.
|
|
#
|
|
# Important things to understand:
|
|
#
|
|
# 1. This feature is disabled by default, and only works if you compiled Redis
|
|
# to use the copy of Jemalloc we ship with the source code of Redis.
|
|
# This is the default with Linux builds.
|
|
#
|
|
# 2. You never need to enable this feature if you don't have fragmentation
|
|
# issues.
|
|
#
|
|
# 3. Once you experience fragmentation, you can enable this feature when
|
|
# needed with the command "CONFIG SET activedefrag yes".
|
|
#
|
|
# The configuration parameters are able to fine tune the behavior of the
|
|
# defragmentation process. If you are not sure about what they mean it is
|
|
# a good idea to leave the defaults untouched.
|
|
|
|
# Enabled active defragmentation
|
|
# activedefrag no
|
|
|
|
# Minimum amount of fragmentation waste to start active defrag
|
|
# active-defrag-ignore-bytes 100mb
|
|
|
|
# Minimum percentage of fragmentation to start active defrag
|
|
# active-defrag-threshold-lower 10
|
|
|
|
# Maximum percentage of fragmentation at which we use maximum effort
|
|
# active-defrag-threshold-upper 100
|
|
|
|
# Minimal effort for defrag in CPU percentage, to be used when the lower
|
|
# threshold is reached
|
|
# active-defrag-cycle-min 1
|
|
|
|
# Maximal effort for defrag in CPU percentage, to be used when the upper
|
|
# threshold is reached
|
|
# active-defrag-cycle-max 25
|
|
|
|
# Maximum number of set/hash/zset/list fields that will be processed from
|
|
# the main dictionary scan
|
|
# active-defrag-max-scan-fields 1000
|
|
|
|
# Jemalloc background thread for purging will be enabled by default
|
|
jemalloc-bg-thread yes
|
|
|
|
# It is possible to pin different threads and processes of Redis to specific
|
|
# CPUs in your system, in order to maximize the performances of the server.
|
|
# This is useful both in order to pin different Redis threads in different
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# CPUs, but also in order to make sure that multiple Redis instances running
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# in the same host will be pinned to different CPUs.
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#
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# Normally you can do this using the "taskset" command, however it is also
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# possible to this via Redis configuration directly, both in Linux and FreeBSD.
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#
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# You can pin the server/IO threads, bio threads, aof rewrite child process, and
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# the bgsave child process. The syntax to specify the cpu list is the same as
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# the taskset command:
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|
#
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|
# Set redis server/io threads to cpu affinity 0,2,4,6:
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|
# server_cpulist 0-7:2
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|
#
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|
# Set bio threads to cpu affinity 1,3:
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|
# bio_cpulist 1,3
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|
#
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|
# Set aof rewrite child process to cpu affinity 8,9,10,11:
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|
# aof_rewrite_cpulist 8-11
|
|
#
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|
# Set bgsave child process to cpu affinity 1,10,11
|
|
# bgsave_cpulist 1,10-11
|