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  • Redis配置文件

    Redis版本:6.2.4

    # Redis configuration file example.
    #
    # Note that in order to read the configuration file, Redis must be
    # started with the file path as first argument:
    #
    # ./redis-server /path/to/redis.conf
    
    # Note on units: when memory size is needed, it is possible to specify
    # it in the usual form of 1k 5GB 4M and so forth:
    #
    # 1k => 1000 bytes
    # 1kb => 1024 bytes
    # 1m => 1000000 bytes
    # 1mb => 1024*1024 bytes
    # 1g => 1000000000 bytes
    # 1gb => 1024*1024*1024 bytes
    #
    # units are case insensitive so 1GB 1Gb 1gB are all the same. 
    
    
    ################################## INCLUDES ###################################
    
    # Include one or more other config files here.  This is useful if you
    # have a standard template that goes to all Redis servers but also need
    # to customize a few per-server settings.  Include files can include
    # other files, so use this wisely.
    #
    # Note that option "include" won't be rewritten by command "CONFIG REWRITE"
    # from admin or Redis Sentinel. Since Redis always uses the last processed
    # line as value of a configuration directive, you'd better put includes
    # at the beginning of this file to avoid overwriting config change at runtime.
    #
    # If instead you are interested in using includes to override configuration
    # options, it is better to use include as the last line.
    #
    # include /path/to/local.conf
    # include /path/to/other.conf
    
    ################################## MODULES #####################################
    
    # Load modules at startup. If the server is not able to load modules
    # it will abort. It is possible to use multiple loadmodule directives.
    #
    # loadmodule /path/to/my_module.so
    # loadmodule /path/to/other_module.so
    
    ################################## NETWORK #####################################
    
    # By default, if no "bind" configuration directive is specified, Redis listens
    # for connections from all available network interfaces on the host machine.
    # It is possible to listen to just one or multiple selected interfaces using
    # the "bind" configuration directive, followed by one or more IP addresses.
    # Each address can be prefixed by "-", which means that redis will not fail to
    # start if the address is not available. Being not available only refers to
    # addresses that does not correspond to any network interfece. Addresses that
    # are already in use will always fail, and unsupported protocols will always BE
    # silently skipped.
    #
    # Examples:
    #
    # bind 192.168.1.100 10.0.0.1     # listens on two specific IPv4 addresses
    # bind 127.0.0.1 ::1              # listens on loopback IPv4 and IPv6
    # bind * -::*                     # like the default, all available interfaces
    #
    # ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
    # internet, binding to all the interfaces is dangerous and will expose the
    # instance to everybody on the internet. So by default we uncomment the
    # following bind directive, that will force Redis to listen only on the
    # IPv4 and IPv6 (if available) loopback interface addresses (this means Redis
    # will only be able to accept client connections from the same host that it is
    # running on).
    #
    # IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
    # JUST COMMENT OUT THE FOLLOWING LINE.
    # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    bind 127.0.0.1 -::1
    # 指定连接Redis的IP地址,本机的网卡IP地址或0.0.0.0
    
    # Protected mode is a layer of security protection, in order to avoid that
    # Redis instances left open on the internet are accessed and exploited.
    #
    # When protected mode is on and if:
    #
    # 1) The server is not binding explicitly to a set of addresses using the
    #    "bind" directive.
    # 2) No password is configured.
    #
    # The server only accepts connections from clients connecting from the
    # IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
    # sockets.
    #
    # By default protected mode is enabled. You should disable it only if
    # you are sure you want clients from other hosts to connect to Redis
    # even if no authentication is configured, nor a specific set of interfaces
    # are explicitly listed using the "bind" directive.
    protected-mode yes
    # 保护模式。关闭protected-mode模式,此时外部网络可以直接访问;开启protected-mode保护模式,需配置bind ip或者设置访问密码
    
    # Accept connections on the specified port, default is 6379 (IANA #815344).
    # If port 0 is specified Redis will not listen on a TCP socket.
    port 6379
    # 指定redis运行的端口,默认是6379
    
    # TCP listen() backlog.
    #
    # In high requests-per-second environments you need a high backlog in order
    # to avoid slow clients connection issues. Note that the Linux kernel
    # will silently truncate it to the value of /proc/sys/net/core/somaxconn so
    # make sure to raise both the value of somaxconn and tcp_max_syn_backlog
    # in order to get the desired effect.
    tcp-backlog 511
    # 此参数确定了TCP连接中已完成队列(完成三次握手之后)的长度, 当然此值必须不大于Linux系统定义的/proc/sys/net/core/somaxconn值,默认是511,而Linux的默认参数值是128。当系统并发量大并且客户端速度缓慢的时候,可以将这二个参数一起参考设定。该内核参数默认值一般是128,对于负载很大的服务程序来说大大的不够。一般会将它修改为2048或者更大。在/etc/sysctl.conf中添加:net.core.somaxconn =2048,然后在终端中执行sysctl -p
    
    # Unix socket.
    #
    # Specify the path for the Unix socket that will be used to listen for
    # incoming connections. There is no default, so Redis will not listen
    # on a unix socket when not specified.
    #
    # unixsocket /run/redis.sock
    # unixsocketperm 700
    
    # Close the connection after a client is idle for N seconds (0 to disable)
    timeout 0
    # 此参数为设置客户端空闲超过timeout,服务端会断开连接,为0则服务端不会主动断开连接,不能小于0。
    
    # TCP keepalive.
    #
    # If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
    # of communication. This is useful for two reasons:
    #
    # 1) Detect dead peers.
    # 2) Force network equipment in the middle to consider the connection to be
    #    alive.
    #
    # On Linux, the specified value (in seconds) is the period used to send ACKs.
    # Note that to close the connection the double of the time is needed.
    # On other kernels the period depends on the kernel configuration.
    #
    # A reasonable value for this option is 300 seconds, which is the new
    # Redis default starting with Redis 3.2.1.
    tcp-keepalive 300
    # 单位是秒,表示将周期性的使用SO_KEEPALIVE检测客户端是否还处于健康状态,避免服务器一直阻塞,官方给出的建议值是300s,如果设置为0,则不会周期性的检测。
    
    ################################# TLS/SSL #####################################
    
    # By default, TLS/SSL is disabled. To enable it, the "tls-port" configuration
    # directive can be used to define TLS-listening ports. To enable TLS on the
    # default port, use:
    #
    # port 0
    # tls-port 6379
    
    # Configure a X.509 certificate and private key to use for authenticating the
    # server to connected clients, masters or cluster peers.  These files should be
    # PEM formatted.
    #
    # tls-live 300cert-file redis.crt 
    # tls-key-file redis.key
    #
    # If the key file is encrypted using a passphrase, it can be included here
    # as well.
    #
    # tls-key-file-pass secret
    
    # Normally Redis uses the same certificate for both server functions (accepting
    # connections) and client functions (replicating from a master, establishing
    # cluster bus connections, etc.).
    #
    # Sometimes certificates are issued with attributes that designate them as
    # client-only or server-only certificates. In that case it may be desired to use
    # different certificates for incoming (server) and outgoing (client)
    # connections. To do that, use the following directives:
    #
    # tls-client-cert-file client.crt
    # tls-client-key-file client.key
    #
    # If the key file is encrypted using a passphrase, it can be included here
    # as well.
    #
    # tls-client-key-file-pass secret
    
    # Configure a DH parameters file to enable Diffie-Hellman (DH) key exchange:
    #
    # tls-dh-params-file redis.dh
    
    # Configure a CA certificate(s) bundle or directory to authenticate TLS/SSL
    # clients and peers.  Redis requires an explicit configuration of at least one
    # of these, and will not implicitly use the system wide configuration.
    #
    # tls-ca-cert-file ca.crt
    # tls-ca-cert-dir /etc/ssl/certs
    
    # By default, clients (including replica servers) on a TLS port are required
    # to authenticate using valid client side certificates.
    #
    # If "no" is specified, client certificates are not required and not accepted.
    # If "optional" is specified, client certificates are accepted and must be
    # valid if provided, but are not required.
    #
    # tls-auth-clients no
    # tls-auth-clients optional
    
    # By default, a Redis replica does not attempt to establish a TLS connection
    # with its master.
    #
    # Use the following directive to enable TLS on replication links.
    #
    # tls-replication yes
    
    # By default, the Redis Cluster bus uses a plain TCP connection. To enable
    # TLS for the bus protocol, use the following directive:
    #
    # tls-cluster yes
    
    # By default, only TLSv1.2 and TLSv1.3 are enabled and it is highly recommended
    # that older formally deprecated versions are kept disabled to reduce the attack surface.
    # You can explicitly specify TLS versions to support.
    # Allowed values are case insensitive and include "TLSv1", "TLSv1.1", "TLSv1.2",
    # "TLSv1.3" (OpenSSL >= 1.1.1) or any combination.
    # To enable only TLSv1.2 and TLSv1.3, use:
    #
    # tls-protocols "TLSv1.2 TLSv1.3"
    
    # Configure allowed ciphers.  See the ciphers(1ssl) manpage for more information
    # about the syntax of this string.
    #
    # Note: this configuration applies only to <= TLSv1.2.
    #
    # tls-ciphers DEFAULT:!MEDIUM
    
    # Configure allowed TLSv1.3 ciphersuites.  See the ciphers(1ssl) manpage for more
    # information about the syntax of this string, and specifically for TLSv1.3
    # ciphersuites.
    #
    # tls-ciphersuites TLS_CHACHA20_POLY1305_SHA256
    
    # When choosing a cipher, use the server's preference instead of the client
    # preference. By default, the server follows the client's preference.
    #
    # tls-prefer-server-ciphers yes
    
    # By default, TLS session caching is enabled to allow faster and less expensive
    # reconnections by clients that support it. Use the following directive to disable
    # caching.
    #
    # tls-session-caching no
    
    # Change the default number of TLS sessions cached. A zero value sets the cache
    # to unlimited size. The default size is 20480.
    #
    # tls-session-cache-size 5000
    
    # Change the default timeout of cached TLS sessions. The default timeout is 300
    # seconds.
    #
    # tls-session-cache-timeout 60
    
    ################################# GENERAL #####################################
    
    # By default Redis does not run as a daemon. Use 'yes' if you need it.
    # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
    # When Redis is supervised by upstart or systemd, this parameter has no impact.
    daemonize no
    # 设置为yes表示指定Redis以守护进程的方式启动(后台启动)。默认值为 no
    
    # If you run Redis from upstart or systemd, Redis can interact with your
    # supervision tree. Options:
    #   supervised no      - no supervision interaction
    #   supervised upstart - signal upstart by putting Redis into SIGSTOP mode
    #                        requires "expect stop" in your upstart job config
    #   supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
    #                        on startup, and updating Redis status on a regular
    #                        basis.
    #   supervised auto    - detect upstart or systemd method based on
    #                        UPSTART_JOB or NOTIFY_SOCKET environment variables
    # Note: these supervision methods only signal "process is ready."
    #       They do not enable continuous pings back to your supervisor.
    #
    # The default is "no". To run under upstart/systemd, you can simply uncomment
    # the line below:
    #
    # supervised auto
    
    # If a pid file is specified, Redis writes it where specified at startup
    # and removes it at exit.
    #
    # When the server runs non daemonized, no pid file is created if none is
    # specified in the configuration. When the server is daemonized, the pid file
    # is used even if not specified, defaulting to "/var/run/redis.pid".
    #
    # Creating a pid file is best effort: if Redis is not able to create it
    # nothing bad happens, the server will start and run normally.
    #
    # Note that on modern Linux systems "/run/redis.pid" is more conforming
    # and should be used instead.
    pidfile /var/run/redis_6379.pid
    # 配置PID文件路径,当redis作为守护进程运行的时候,它会把 pid 默认写到 /var/redis/run/redis_6379.pid 文件里面
    
    
    # Specify the server verbosity level.
    # This can be one of:
    # debug (a lot of information, useful for development/testing)
    # verbose (many rarely useful info, but not a mess like the debug level)
    # notice (moderately verbose, what you want in production probably)
    # warning (only very important / critical messages are logged)
    loglevel notice
    # 定义日志级别。默认值为notice
    
    # Specify the log file name. Also the empty string can be used to force
    # Redis to log on the standard output. Note that if you use standard
    # output for logging but daemonize, logs will be sent to /dev/null
    logfile ""
    # 配置log文件地址,默认打印在命令行终端的窗口上
    
    
    # To enable logging to the system logger, just set 'syslog-enabled' to yes,
    # and optionally update the other syslog parameters to suit your needs.
    # syslog-enabled no
    
    # Specify the syslog identity.
    # syslog-ident redis
    
    # Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
    # syslog-facility local0
    
    # To disable the built in crash log, which will possibly produce cleaner core
    # dumps when they are needed, uncomment the following:
    #
    # crash-log-enabled no
    
    # To disable the fast memory check that's run as part of the crash log, which
    # will possibly let redis terminate sooner, uncomment the following:
    #
    # crash-memcheck-enabled no
    
    # Set the number of databases. The default database is DB 0, you can select
    # a different one on a per-connection basis using SELECT <dbid> where
    # dbid is a number between 0 and 'databases'-1
    databases 16
    # 设置数据库的数目。默认的数据库是DB 0 ,可以在每个连接上使用select  <dbid> 命令选择一个不同的数据库,dbid是一个介于0到databases - 1 之间的数值。默认值是 16,也就是说默认Redis有16个数据库。
    
    # By default Redis shows an ASCII art logo only when started to log to the
    # standard output and if the standard output is a TTY and syslog logging is
    # disabled. Basically this means that normally a logo is displayed only in
    # interactive sessions.
    #
    # However it is possible to force the pre-4.0 behavior and always show a
    # ASCII art logo in startup logs by setting the following option to yes.
    always-show-logo no
    # 是否一直显示logo
    
    # By default, Redis modifies the process title (as seen in 'top' and 'ps') to
    # provide some runtime information. It is possible to disable this and leave
    # the process name as executed by setting the following to no.
    set-proc-title yes
    # 是否启动进程标题
    
    # When changing the process title, Redis uses the following template to construct
    # the modified title.
    #
    # Template variables are specified in curly brackets. The following variables are
    # supported:
    #
    # {title}           Name of process as executed if parent, or type of child process.
    # {listen-addr}     Bind address or '*' followed by TCP or TLS port listening on, or
    #                   Unix socket if only that's available.
    # {server-mode}     Special mode, i.e. "[sentinel]" or "[cluster]".
    # {port}            TCP port listening on, or 0.
    # {tls-port}        TLS port listening on, or 0.
    # {unixsocket}      Unix domain socket listening on, or "".
    # {config-file}     Name of configuration file used.
    #
    proc-title-template "{title} {listen-addr} {server-mode}"
    # 更改进程标题
    
    ################################ SNAPSHOTTING  ################################
    
    # Save the DB to disk.
    #
    # save <seconds> <changes>
    #
    # Redis will save the DB if both the given number of seconds and the given
    # number of write operations against the DB occurred.
    #
    # Snapshotting can be completely disabled with a single empty string argument
    # as in following example:
    #
    # save ""
    #
    # Unless specified otherwise, by default Redis will save the DB:
    #   * After 3600 seconds (an hour) if at least 1 key changed
    #   * After 300 seconds (5 minutes) if at least 100 keys changed
    #   * After 60 seconds if at least 10000 keys changed
    #
    # You can set these explicitly by uncommenting the three following lines.
    #
    # save 3600 1
    # save 300 100
    # save 60 10000
    # 配置触发 Redis的持久化条件;
    # save 900 1:表示900 秒内如果至少有 1 个 key 的值变化,则保存
    # save 300 10:表示300 秒内如果至少有 10 个 key 的值变化,则保存
    # save 60 10000:表示60 秒内如果至少有 10000 个 key 的值变化,则保存
    
    # By default Redis will stop accepting writes if RDB snapshots are enabled
    # (at least one save point) and the latest background save failed.
    # This will make the user aware (in a hard way) that data is not persisting
    # on disk properly, otherwise chances are that no one will notice and some
    # disaster will happen.
    #
    # If the background saving process will start working again Redis will
    # automatically allow writes again.
    #
    # However if you have setup your proper monitoring of the Redis server
    # and persistence, you may want to disable this feature so that Redis will
    # continue to work as usual even if there are problems with disk,
    # permissions, and so forth.
    stop-writes-on-bgsave-error yes  # 持久化出现错误后,是否依然进行继续进行工作
    
    # Compress string objects using LZF when dump .rdb databases?
    # By default compression is enabled as it's almost always a win.
    # If you want to save some CPU in the saving child set it to 'no' but
    # the dataset will likely be bigger if you have compressible values or keys.
    rdbcompression yes
    # 默认值是yes。对于存储到磁盘中的快照,可以设置是否进行压缩存储。如果是的话,redis会采用LZF算法进行压缩。如果你不想消耗CPU来进行压缩的话,可以设置为关闭此功能,但是存储在磁盘上的快照会比较大
    
    # Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
    # This makes the format more resistant to corruption but there is a performance
    # hit to pay (around 10%) when saving and loading RDB files, so you can disable it
    # for maximum performances.
    #
    # RDB files created with checksum disabled have a checksum of zero that will
    # tell the loading code to skip the check.
    rdbchecksum yes
    # 默认值是yes。在存储快照后,我们还可以让redis使用CRC64算法来进行数据校验,但是这样做会增加大约10%的性能消耗,如果希望获取到最大的性能提升,可以关闭此功能
    
    # Enables or disables full sanitation checks for ziplist and listpack etc when
    # loading an RDB or RESTORE payload. This reduces the chances of a assertion or
    # crash later on while processing commands.
    # Options:
    #   no         - Never perform full sanitation
    #   yes        - Always perform full sanitation
    #   clients    - Perform full sanitation only for user connections.
    #                Excludes: RDB files, RESTORE commands received from the master
    #                connection, and client connections which have the
    #                skip-sanitize-payload ACL flag.
    # The default should be 'clients' but since it currently affects cluster
    # resharding via MIGRATE, it is temporarily set to 'no' by default.
    #
    # sanitize-dump-payload no
    
    # The filename where to dump the DB
    dbfilename dump.rdb
    # 设置快照的文件名,默认是 dump.rdb
    
    
    # Remove RDB files used by replication in instances without persistence
    # enabled. By default this option is disabled, however there are environments
    # where for regulations or other security concerns, RDB files persisted on
    # disk by masters in order to feed replicas, or stored on disk by replicas
    # in order to load them for the initial synchronization, should be deleted
    # ASAP. Note that this option ONLY WORKS in instances that have both AOF
    # and RDB persistence disabled, otherwise is completely ignored.
    #
    # An alternative (and sometimes better) way to obtain the same effect is
    # to use diskless replication on both master and replicas instances. However
    # in the case of replicas, diskless is not always an option.
    rdb-del-sync-files no
    # rdb文件是否删除同步锁
    
    # The working directory.
    #
    # The DB will be written inside this directory, with the filename specified
    # above using the 'dbfilename' configuration directive.
    #
    # The Append Only File will also be created inside this directory.
    #
    # Note that you must specify a directory here, not a file name.
    dir ./
    # rdb 文件保存的目录
    
    ################################# REPLICATION #################################
    
    # Master-Replica replication. Use replicaof to make a Redis instance a copy of
    # another Redis server. A few things to understand ASAP about Redis replication.
    #
    #   +------------------+      +---------------+
    #   |      Master      | ---> |    Replica    |
    #   | (receive writes) |      |  (exact copy) |
    #   +------------------+      +---------------+
    #
    # 1) Redis replication is asynchronous, but you can configure a master to
    #    stop accepting writes if it appears to be not connected with at least
    #    a given number of replicas.
    # 2) Redis replicas are able to perform a partial resynchronization with the
    #    master if the replication link is lost for a relatively small amount of
    #    time. You may want to configure the replication backlog size (see the next
    #    sections of this file) with a sensible value depending on your needs.
    # 3) Replication is automatic and does not need user intervention. After a
    #    network partition replicas automatically try to reconnect to masters
    #    and resynchronize with them.
    #
    # replicaof <masterip> <masterport>
    # 指定主节点的IP及端口
    
    # If the master is password protected (using the "requirepass" configuration
    # directive below) it is possible to tell the replica to authenticate before
    # starting the replication synchronization process, otherwise the master will
    # refuse the replica request.
    #
    # masterauth <master-password>
    # 指定master的密码
    #
    # However this is not enough if you are using Redis ACLs (for Redis version
    # 6 or greater), and the default user is not capable of running the PSYNC
    # command and/or other commands needed for replication. In this case it's
    # better to configure a special user to use with replication, and specify the
    # masteruser configuration as such:
    #
    # masteruser <username>
    # 指定master的用户名
    #
    # When masteruser is specified, the replica will authenticate against its
    # master using the new AUTH form: AUTH <username> <password>.
    
    # When a replica loses its connection with the master, or when the replication
    # is still in progress, the replica can act in two different ways:
    #
    # 1) if replica-serve-stale-data is set to 'yes' (the default) the replica will
    #    still reply to client requests, possibly with out of date data, or the
    #    data set may just be empty if this is the first synchronization.
    #
    # 2) If replica-serve-stale-data is set to 'no' the replica will reply with
    #    an error "SYNC with master in progress" to all commands except:
    #    INFO, REPLICAOF, AUTH, PING, SHUTDOWN, REPLCONF, ROLE, CONFIG, SUBSCRIBE,
    #    UNSUBSCRIBE, PSUBSCRIBE, PUNSUBSCRIBE, PUBLISH, PUBSUB, COMMAND, POST,
    #    HOST and LATENCY.
    #
    replica-serve-stale-data yes
    # 默认值为yes。当一个 slave 与 master 失去联系,或者复制正在进行的时候,slave 可能会有两种表现:
    # 如果为 yes ,slave 仍然会应答客户端请求,但返回的数据可能是过时,或者数据可能是空的在第一次同步的时候 
    # 如果为 no ,在你执行除了 info he salveof 之外的其他命令时,slave 都将返回一个 "SYNC with master in progress" 的错误
    
    # You can configure a replica instance to accept writes or not. Writing against
    # a replica instance may be useful to store some ephemeral data (because data
    # written on a replica will be easily deleted after resync with the master) but
    # may also cause problems if clients are writing to it because of a
    # misconfiguration.
    #
    # Since Redis 2.6 by default replicas are read-only.
    #
    # Note: read only replicas are not designed to be exposed to untrusted clients
    # on the internet. It's just a protection layer against misuse of the instance.
    # Still a read only replica exports by default all the administrative commands
    # such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
    # security of read only replicas using 'rename-command' to shadow all the
    # administrative / dangerous commands.
    replica-read-only yes
    # 配置Redis的Slave实例是否接受写操作,即Slave是否为只读Redis。默认值为yes。
    
    # Replication SYNC strategy: disk or socket.
    #
    # New replicas and reconnecting replicas that are not able to continue the
    # replication process just receiving differences, need to do what is called a
    # "full synchronization". An RDB file is transmitted from the master to the
    # replicas.
    #
    # The transmission can happen in two different ways:
    #
    # 1) Disk-backed: The Redis master creates a new process that writes the RDB
    #                 file on disk. Later the file is transferred by the parent
    #                 process to the replicas incrementally.
    # 2) Diskless: The Redis master creates a new process that directly writes the
    #              RDB file to replica sockets, without touching the disk at all.
    #
    # With disk-backed replication, while the RDB file is generated, more replicas
    # can be queued and served with the RDB file as soon as the current child
    # producing the RDB file finishes its work. With diskless replication instead
    # once the transfer starts, new replicas arriving will be queued and a new
    # transfer will start when the current one terminates.
    #
    # When diskless replication is used, the master waits a configurable amount of
    # time (in seconds) before starting the transfer in the hope that multiple
    # replicas will arrive and the transfer can be parallelized.
    #
    # With slow disks and fast (large bandwidth) networks, diskless replication
    # works better.
    repl-diskless-sync no
    # 主从数据复制是否使用无硬盘复制功能。默认值为no。
    
    # When diskless replication is enabled, it is possible to configure the delay
    # the server waits in order to spawn the child that transfers the RDB via socket
    # to the replicas.
    #
    # This is important since once the transfer starts, it is not possible to serve
    # new replicas arriving, that will be queued for the next RDB transfer, so the
    # server waits a delay in order to let more replicas arrive.
    #
    # The delay is specified in seconds, and by default is 5 seconds. To disable
    # it entirely just set it to 0 seconds and the transfer will start ASAP.
    repl-diskless-sync-delay 5
    # 当启用无硬盘备份,服务器等待一段时间后才会通过套接字向从站传送RDB文件,这个等待时间是可配置的。  这一点很重要,因为一旦传送开始,就不可能再为一个新到达的从站服务。从站则要排队等待下一次RDB传送。因此服务器等待一段  时间以期更多的从站到达。延迟时间以秒为单位,默认为5秒。要关掉这一功能,只需将它设置为0秒,传送会立即启动。默认值为5
    
    # -----------------------------------------------------------------------------
    # WARNING: RDB diskless load is experimental. Since in this setup the replica
    # does not immediately store an RDB on disk, it may cause data loss during
    # failovers. RDB diskless load + Redis modules not handling I/O reads may also
    # cause Redis to abort in case of I/O errors during the initial synchronization
    # stage with the master. Use only if you know what you are doing.
    # -----------------------------------------------------------------------------
    #
    # 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
    # received 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
    # 不使用无磁盘diskless方式在进行数据传递
    
    # 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
    # slave根据指定的时间间隔向master发送ping请求。默认10秒。
    
    # 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. The default
    # value is 60 seconds.
    #
    # repl-timeout 60
    # 设置超时时间
    
    # 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
    # 是否在slave套接字发送SYNC之后,禁用 TCP_NODELAY #如果选择yes,Redis将使用更少的TCP包和带宽来向slaves发送数据。但是这将使数据传输到slave上有延迟,Linux内核的默认配置会达到40毫秒。 #如果选择no,数据传输到salve的延迟将会减少但要使用更多的带宽。 #默认我们会为低延迟做优化,但高流量情况或主从之间的跳数过多时,可以设置为“yes”。
    
    # 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 replica can endure the
    # disconnect and later be able to perform a partial resynchronization.
    #
    # The backlog is only allocated if there is at least one replica connected.
    #
    # repl-backlog-size 1mb
    # 设置backlog的大小,backlog是一个缓冲区。设置主节点缓存操作数据的可用大小。如果网络阻塞,主节点操作数据未同步给从节点而积累在缓冲区,这个缓冲区大小超过repl-backlog-size 。网络恢复之后,slave节点就必须重新从主节点同步一份完整数据。因此当一个slave要重连时,经常是不需要完全同步的,执行局部同步就足够了。backlog设置的越大,slave可以失连的时间就越长。
    
    # After a master has no 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 other replicas: hence they should always accumulate backlog.
    #
    # A value of 0 means to never release the backlog.
    #
    # repl-backlog-ttl 3600
    # 如果一段时间后没有slave连接到master,则backlog size的内存将会被释放。如果值为0则表示永远不释放这部份内存。
    
    # 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
    # slave端的优先级设置,值是一个整数,数字越小表示优先级越高。集群故障恢复时,当master故障时将会按照优先级来选择slave端进行恢复,如果值设置为0,则表示该slave永远不会被选择。
    
    # -----------------------------------------------------------------------------
    # By default, Redis Sentinel includes all replicas in its reports. A replica
    # can be excluded from Redis Sentinel's announcements. An unannounced replica
    # will be ignored by the 'sentinel replicas <master>' command and won't be
    # exposed to Redis Sentinel's clients.
    #
    # This option does not change the behavior of replica-priority. Even with
    # replica-announced set to 'no', the replica can be promoted to master. To
    # prevent this behavior, set replica-priority to 0.
    #
    # replica-announced yes
    
    # 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
    # redis提供了可以让master停止写入的方式,如果配置了min-replicas-to-write,健康的slave的个数小于N,mater就禁止写入,设置为0是关闭该功能。
    # min-replicas-max-lag 10
    # 延迟小于min-replicas-max-lag秒的slave才认为是健康的slave
    
    # 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 address and port 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 actually be 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
    # 配置集群时对外宣称自己节点的IP与端口
    
    ############################### KEYS TRACKING #################################
    
    # Redis implements server assisted support for client side caching of values.
    # This is implemented using an invalidation table that remembers, using
    # a radix key indexed by key name, what clients have which keys. In turn
    # this is used in order to send invalidation messages to clients. Please
    # check this page to understand more about the feature:
    #
    #   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 a 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.
    #  skip-sanitize-payload    RESTORE dump-payload sanitation is skipped.
    #  sanitize-payload         RESTORE dump-payload is sanitized (default).
    #  +<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.
    #  &<pattern>   Add a glob-style pattern of Pub/Sub channels that can be
    #               accessed by the user. It is possible to specify multiple channel
    #               patterns.
    #  allchannels  Alias for &*
    #  resetchannels            Flush the list of allowed channel patterns.
    #  ><password>  Add this password 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
    # ACL 日志的最大条目长度
    
    # 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 external
    # 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 compatibility
    # 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.
    #
    # The requirepass is not compatable with aclfile option and the ACL LOAD
    # command, these will cause requirepass to be ignored.
    #
    # requirepass foobared
    # 设置redis的密码,默认是没有密码!
    
    # New users are initialized with restrictive permissions by default, via the
    # equivalent of this ACL rule 'off resetkeys -@all'. Starting with Redis 6.2, it
    # is possible to manage access to Pub/Sub channels with ACL rules as well. The
    # default Pub/Sub channels permission if new users is controlled by the 
    # acl-pubsub-default configuration directive, which accepts one of these values:
    #
    # allchannels: grants access to all Pub/Sub channels
    # resetchannels: revokes access to all Pub/Sub channels
    #
    # To ensure backward compatibility while upgrading Redis 6.0, acl-pubsub-default
    # defaults to the 'allchannels' permission.
    #
    # Future compatibility note: it is very likely that in a future version of Redis
    # the directive's default of 'allchannels' will be changed to 'resetchannels' in
    # order to provide better out-of-the-box Pub/Sub security. Therefore, it is
    # recommended that you explicitly define Pub/Sub permissions for all users
    # rather then rely on implicit default values. Once you've set explicit
    # Pub/Sub for all existing users, you should uncomment the following line.
    #
    # acl-pubsub-default resetchannels
    # 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
    # 命令重命名
    #
    # 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'.
    #
    # IMPORTANT: When Redis Cluster is used, the max number of connections is also
    # shared with the cluster bus: every node in the cluster will use two
    # connections, one incoming and another outgoing. It is important to size the
    # limit accordingly in case of very large clusters.
    #
    # maxclients 10000
    # 设置能连接上redis的最大客户端的数量
    
    
    ############################## 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>
    # redis 配置最大的内存容量
    
    
    # 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, when there are no suitable keys for
    # eviction, Redis will return an error on write operations that require
    # more memory. These are usually commands that create new keys, add data or
    # modify existing keys. A few examples are: SET, INCR, HSET, LPUSH, SUNIONSTORE,
    # SORT (due to the STORE argument), and EXEC (if the transaction includes any
    # command that requires memory).
    #
    # The default is:
    #
    # maxmemory-policy noeviction
    # 永不过期,返回错误
    
    # 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. By default Redis will check five keys and pick the one that was
    # used least 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
    # LRU和最小TTL算法的样本个数
    
    
    # Eviction processing is designed to function well with the default setting.
    # If there is an unusually large amount of write traffic, this value may need to
    # be increased.  Decreasing this value may reduce latency at the risk of 
    # eviction processing effectiveness
    #   0 = minimum latency, 10 = default, 100 = process without regard to latency
    #
    # maxmemory-eviction-tenacity 10
    # 
    
    # 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
    # replica 节点会忽略 maxmemory 设置(除非在发生 failover 后,此节点被提升为 master 节点)。 这意味着只有 master 才会执行过期删除策略,并且 master 在删除键之后会对 replica 发送 DEL 命令。
    
    # 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 tolerate less already expired keys still present
    # in the system. It's a tradeoff between memory, CPU and latency.
    #
    # active-expire-effort 1
    # effort变量由redis.conf中的active-expire-effort控制,1到10,设置越大cpu的消耗也会相应增加。effort改变了过期键可占内存的最大百分比,改变了最大占用cpu的百分比等,effort越大,cpu负担越重,所以根据自己的需要设置effort的值。
    
    
    ############################# 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		# 内存满逐出
    lazyfree-lazy-expire no			# 过期key删除
    lazyfree-lazy-server-del no	# 内部删除,比如rename oldkey newkey时,如果newkey存在需要删除newkey
    replica-lazy-flush no       # 接收完RDB文件后清空数据选项
    
    # 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
    # 执行DEL命令时是否基于lazyfree异步删除数据
    
    # FLUSHDB, FLUSHALL, and SCRIPT FLUSH support both asynchronous and synchronous
    # deletion, which can be controlled by passing the [SYNC|ASYNC] flags into the
    # commands. When neither flag is passed, this directive will be used to determine
    # if the data should be deleted asynchronously.
    
    lazyfree-lazy-user-flush 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 speed up 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 usual.
    # 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 threads, otherwise you'll not
    # be able to notice the improvements.
    
    ############################ KERNEL OOM CONTROL ##############################
    
    # On Linux, it is possible to hint the kernel OOM killer on what processes
    # should be killed first when out of memory.
    #
    # Enabling this feature makes Redis actively control the oom_score_adj value
    # for all its processes, depending on their role. The default scores will
    # attempt to have background child processes killed before all others, and
    # replicas killed before masters.
    #
    # Redis supports three options:
    #
    # no:       Don't make changes to oom-score-adj (default).
    # yes:      Alias to "relative" see below.
    # absolute: Values in oom-score-adj-values are written as is to the kernel.
    # relative: Values are used relative to the initial value of oom_score_adj when
    #           the server starts and are then clamped to a range of -1000 to 1000.
    #           Because typically the initial value is 0, they will often match the
    #           absolute values.
    oom-score-adj no
    
    # When oom-score-adj is used, this directive controls the specific values used
    # for master, replica and background child processes. Values range -2000 to
    # 2000 (higher means more likely to be killed).
    #
    # Unprivileged processes (not root, and without CAP_SYS_RESOURCE capabilities)
    # can freely increase their value, but not decrease it below its initial
    # settings. This means that setting oom-score-adj to "relative" and setting the
    # oom-score-adj-values to positive values will always succeed.
    oom-score-adj-values 0 200 800
    
    
    #################### KERNEL transparent hugepage CONTROL ######################
    
    # Usually the kernel Transparent Huge Pages control is set to "madvise" or
    # or "never" by default (/sys/kernel/mm/transparent_hugepage/enabled), in which
    # case this config has no effect. On systems in which it is set to "always",
    # redis will attempt to disable it specifically for the redis process in order
    # to avoid latency problems specifically with fork(2) and CoW.
    # If for some reason you prefer to keep it enabled, you can set this config to
    # "no" and the kernel global to "always".
    
    disable-thp yes
    
    ############################## 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 https://redis.io/topics/persistence for more information.
    
    appendonly no
    
    # The name of the append only file (default: "appendonly.aof")
    
    appendfilename "appendonly.aof"
    # 指定本地数据库文件名,默认值为 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
    # always表示每次写入都执行fsync,以保证数据同步到磁盘,慢,但是最安全。
    appendfsync everysec
    # everysec表示每秒执行一次fsync,可能会导致丢失这1s数据,每秒写一次。
    # appendfsync no
    # no表示不执行fsync,由操作系统保证数据同步到磁盘,速度最快
    
    # 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
    # 设置为yes表示rewrite期间对新写操作不fsync,暂时存在内存中,等rewrite完成后再写入,默认为no,建议yes。Linux的默认fsync策略是30秒
    
    # 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
    # 自动重写AOF文件。如果AOF日志文件增大到指定百分比,Redis能够通过 BGREWRITEAOF 自动重写AOF日志文件。
    auto-aof-rewrite-min-size 64mb
    # 设置允许重写的最小aof文件大小
    
    # 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
    # 如果设置为yes,如果一个因异常被截断的AOF文件被redis启动时加载进内存,redis将会发送日志通知用户 #如果设置为no,rerdis将会拒绝启动。此时需要用"redis-check-aof"工具修复文件。
    
    # 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, then continues loading the AOF
    # tail.
    aof-use-rdb-preamble yes
    # 加载时Redis识别出AOF文件以“REDIS”开头字符串, #并加载带此前缀的RDB文件,然后继续加载AOF
    
    ################################ 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 call any 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
    # Lua 脚本的最大执行毫秒数,如果达到最大时间限制(毫秒),redis会记个log,然后返回error。当一个脚本超过了最大时限。
    
    ################################ 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
    # 配置redis做为一个集群节点来启动
    
    # 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
    # 集群配置文件的名称,每个节点都有一个集群相关的配置文件,持久化保存集群的信息。这个文件并不需要手动配置,这个配置文件由Redis生成并更新,每个Redis集群节点需要一个单独的配置文件,请确保与实例运行的系统中配置文件名称不冲突
    
    # 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 a multiple of the node timeout.
    #
    # cluster-node-timeout 15000
    # 设置集群节点超时时间,如果超过了指定的超时时间后仍不可达,则节点被认为是失败状态,单位为毫秒。
    
    # 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 * cluster-replica-validity-factor) + repl-ping-replica-period
    #
    # So for example if node-timeout is 30 seconds, and the cluster-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 cluster-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 cluster-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 or
    # set cluster-allow-replica-migration to 'no'.
    # A value of 0 can be set but is useful only for debugging and dangerous
    # in production.
    #
    # cluster-migration-barrier 1
    # 要将一个slave迁移到别的master,必须这个slave的原master端有至少给定数目的可用slave才可以进行迁移,这个给定的数目由migration barrier参数来进行设置,默认值为1,表示这个要进行迁移的slave的原master端应该至少还有1个可用的slave才允许其进行迁移,要禁用这个功能只需要将此参数设置为一个非常大的值。
    
    # Turning off this option allows to use less automatic cluster configuration.
    # It both disables migration to orphaned masters and migration from masters
    # that became empty.
    #
    # Default is 'yes' (allow automatic migrations).
    #
    # cluster-allow-replica-migration yes
    
    # By default Redis Cluster nodes stop accepting queries if they detect there
    # is at least a 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
    # 默认情况下,集群全部的slot有节点负责,集群状态才为ok,才能提供服务。设置为no,可以在slot没有全部分配的时候提供服务。不建议打开该配置,这样会造成分区的时候,小分区的master一直在接受写请求,而造成很长时间数据不一致
    
    # This option, when set to yes, prevents replicas from trying to failover its
    # master during master failures. However the replica 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 https://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 four options are used for this scope, and are:
    #
    # * cluster-announce-ip
    # * cluster-announce-port
    # * cluster-announce-tls-port
    # * cluster-announce-bus-port
    #
    # Each instructs the node about its address, client ports (for connections
    # without and with TLS) 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 cluster-tls is set to yes and cluster-announce-tls-port is omitted or set
    # to zero, then cluster-announce-port refers to the TLS port. Note also that
    # cluster-announce-tls-port has no effect if cluster-tls is set to no.
    #
    # 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 usual.
    #
    # Example:
    #
    # cluster-announce-ip 10.1.1.5
    # cluster-announce-tls-port 6379
    # cluster-announce-port 0
    # 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
    # 执行时间比slowlog-log-slower-than大的请求记录到slowlog里面,单位是微秒,所以1000000就是1秒。注意,负数时间会禁用慢查询日志,而0则会强制记录所有命令。
    
    # 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
    # 慢查询日志长度
    
    
    ################################ 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
    # 只记录大于等于下边设置的值的操作。0的话,就是关闭监视。默认延迟监控功能是关闭的,如果你需要打开,也可以通过CONFIG SET命令动态设置
    
    ############################# EVENT NOTIFICATION ##############################
    
    # Redis can notify Pub/Sub clients about events happening in the key space.
    # This feature is documented at https://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
    #  d     Module key type events
    #  m     Key-miss events (Note: It is not included in the 'A' class)
    #  A     Alias for g$lshzxetd, 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 usual 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.
    #
    # Note that Gopher is not currently supported when 'io-threads-do-reads'
    # is enabled.
    #
    # 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
    # 数据量小于等于hash-max-ziplist-entries的用ziplist,大于hash-max-ziplist-entries用hash
    hash-max-ziplist-value 64
    # value大小小于等于hash-max-ziplist-value的用ziplist,大于hash-max-ziplist-value用hash
    
    # 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
    # list-compress-depth 0  #0:禁用所有列表压缩 #1:深度1表示“在列表中的1个节点之后才开始压缩
    
    # 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
    # 数据量小于等于set-max-intset-entries用iniset,大于set-max-intset-entries用set
    
    # 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
    # 数据量小于等于zset-max-ziplist-entries用ziplist,大于zset-max-ziplist-entries用zset
    zset-max-ziplist-value 64
    # value大小小于等于zset-max-ziplist-value用ziplist,大于zset-max-ziplist-value用zset
    
    # 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
    # value大小小于等于hll-sparse-max-bytes使用稀疏数据结构(sparse),大于hll-sparse-max-bytes使用稠密的数据结构(dense)
    
    # 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 entries 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
    # Redis将在每100毫秒时使用1毫秒的CPU时间来对redis的hash表进行重新hash,可以降低内存的使用。当你的使用场景中,有非常严格的实时性需要,不能够接受Redis时不时的对请求有2毫秒的延迟的话,把这项配置为no。如果没有这么严格的实时性要求,可以设置为yes,以便能够尽可能快的释放内存。
    
    # 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
    # 对客户端输出缓冲进行限制可以强迫那些不从服务器读取数据的客户端断开连接,用来强制关闭传输缓慢的客户端。
    client-output-buffer-limit replica 256mb 64mb 60
    # 对于slave client和MONITER client,如果client-output-buffer一旦超过256mb,又或者超过64mb持续60秒,那么服务器就会立即断开客户端连接
    client-output-buffer-limit pubsub 32mb 8mb 60
    # 对于pubsub client,如果client-output-buffer一旦超过32mb,又或者超过8mb持续60秒,那么服务器就会立即断开客户端连接
    
    
    # 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 to 512 mb. However you can change this limit
    # here, but must be 1mb or greater
    #
    # 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
    # redis执行任务的频率为1s除以hz
    
    # 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 temporarily 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
    # 在连接更多客户端后根据需要使用。这样一个闲置的实例将占用很少的CPU时间,而繁忙的实例将反应更灵敏
    
    # 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
    # 在aof重写的时候,如果打开了aof-rewrite-incremental-fsync开关,系统会每32MB执行一次fsync。这对于把文件写入磁盘是有帮助的,可以避免过大的延迟峰值
    
    # 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 a "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
    # 关闭主动碎片整理
    
    # Minimum amount of fragmentation waste to start active defrag
    # active-defrag-ignore-bytes 100mb
    # 启动活动碎片整理的最小碎片浪费量
    
    # Minimum percentage of fragmentation to start active defrag
    # active-defrag-threshold-lower 10
    # 启动碎片整理的最小碎片百分比
    
    # Maximum percentage of fragmentation at which we use maximum effort
    # active-defrag-threshold-upper 100
    # 使用最大消耗时的最大碎片百分比
    
    # Minimal effort for defrag in CPU percentage, to be used when the lower
    # threshold is reached
    # active-defrag-cycle-min 1
    # 在CPU百分比中进行碎片整理的最小消耗
    
    # Maximal effort for defrag in CPU percentage, to be used when the upper
    # threshold is reached
    # active-defrag-cycle-max 25
    # 磁盘碎片整理的最大消耗
    
    # Maximum number of set/hash/zset/list fields that will be processed from
    # the main dictionary scan
    # active-defrag-max-scan-fields 1000
    # 将从主字典扫描处理的最大set / hash / zset / list字段数
    
    # 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
    # CPUs, but also in order to make sure that multiple Redis instances running
    # in the same host will be pinned to different CPUs.
    #
    # Normally you can do this using the "taskset" command, however it is also
    # possible to this via Redis configuration directly, both in Linux and FreeBSD.
    #
    # You can pin the server/IO threads, bio threads, aof rewrite child process, and
    # the bgsave child process. The syntax to specify the cpu list is the same as
    # the taskset command:
    #
    # Set redis server/io threads to cpu affinity 0,2,4,6:
    # server_cpulist 0-7:2
    #
    # Set bio threads to cpu affinity 1,3:
    # bio_cpulist 1,3
    #
    # Set aof rewrite child process to cpu affinity 8,9,10,11:
    # aof_rewrite_cpulist 8-11
    #
    # Set bgsave child process to cpu affinity 1,10,11
    # bgsave_cpulist 1,10-11
    
    # In some cases redis will emit warnings and even refuse to start if it detects
    # that the system is in bad state, it is possible to suppress these warnings
    # by setting the following config which takes a space delimited list of warnings
    # to suppress
    #
    # ignore-warnings ARM64-COW-BUG
    
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  • 原文地址:https://www.cnblogs.com/os-linux/p/15002903.html
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