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  • Docker安装redis

      centos上安装docker版的redis,并以配置文件启动

    • 查询redis

    docker search redis

    • 下载指定版本的redis镜像

      docker pull redis:5.0

    • 查看docker镜像

      docker images

      

    • 创建配置文件

      mkdir -p /usr/local/docker/redis/data 

      vim /usr/local/docker/redis/redis.conf

    • 官网下载redis:5.0的配置文件redis.conf
    • # Redis configuration file example.
      #
      # Note that in order to read the configuration file, Redis must be
      # started with the file path as first argument:
      #
      # ./redis-server /path/to/redis.conf
      
      # Note on units: when memory size is needed, it is possible to specify
      # it in the usual form of 1k 5GB 4M and so forth:
      #
      # 1k => 1000 bytes
      # 1kb => 1024 bytes
      # 1m => 1000000 bytes
      # 1mb => 1024*1024 bytes
      # 1g => 1000000000 bytes
      # 1gb => 1024*1024*1024 bytes
      #
      # units are case insensitive so 1GB 1Gb 1gB are all the same.
      
      ################################## INCLUDES ###################################
      
      # Include one or more other config files here.  This is useful if you
      # have a standard template that goes to all Redis servers but also need
      # to customize a few per-server settings.  Include files can include
      # other files, so use this wisely.
      #
      # Notice option "include" won't be rewritten by command "CONFIG REWRITE"
      # from admin or Redis Sentinel. Since Redis always uses the last processed
      # line as value of a configuration directive, you'd better put includes
      # at the beginning of this file to avoid overwriting config change at runtime.
      #
      # If instead you are interested in using includes to override configuration
      # options, it is better to use include as the last line.
      #
      # include /path/to/local.conf
      # include /path/to/other.conf
      
      ################################## MODULES #####################################
      
      # Load modules at startup. If the server is not able to load modules
      # it will abort. It is possible to use multiple loadmodule directives.
      #
      # loadmodule /path/to/my_module.so
      # loadmodule /path/to/other_module.so
      
      ################################## NETWORK #####################################
      
      # By default, if no "bind" configuration directive is specified, Redis listens
      # for connections from all the network interfaces available on the server.
      # It is possible to listen to just one or multiple selected interfaces using
      # the "bind" configuration directive, followed by one or more IP addresses.
      #
      # Examples:
      #
      # bind 192.168.1.100 10.0.0.1
      # bind 127.0.0.1 ::1
      #
      # ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
      # internet, binding to all the interfaces is dangerous and will expose the
      # instance to everybody on the internet. So by default we uncomment the
      # following bind directive, that will force Redis to listen only into
      # the IPv4 loopback interface address (this means Redis will be able to
      # accept connections only from clients running into the same computer it
      # is running).
      #
      # IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
      # JUST COMMENT THE FOLLOWING LINE.
      # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      bind 127.0.0.1
      
      # Protected mode is a layer of security protection, in order to avoid that
      # Redis instances left open on the internet are accessed and exploited.
      #
      # When protected mode is on and if:
      #
      # 1) The server is not binding explicitly to a set of addresses using the
      #    "bind" directive.
      # 2) No password is configured.
      #
      # The server only accepts connections from clients connecting from the
      # IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
      # sockets.
      #
      # By default protected mode is enabled. You should disable it only if
      # you are sure you want clients from other hosts to connect to Redis
      # even if no authentication is configured, nor a specific set of interfaces
      # are explicitly listed using the "bind" directive.
      protected-mode yes
      
      # Accept connections on the specified port, default is 6379 (IANA #815344).
      # If port 0 is specified Redis will not listen on a TCP socket.
      port 6379
      
      # TCP listen() backlog.
      #
      # In high requests-per-second environments you need an high backlog in order
      # to avoid slow clients connections issues. Note that the Linux kernel
      # will silently truncate it to the value of /proc/sys/net/core/somaxconn so
      # make sure to raise both the value of somaxconn and tcp_max_syn_backlog
      # in order to get the desired effect.
      tcp-backlog 511
      
      # Unix socket.
      #
      # Specify the path for the Unix socket that will be used to listen for
      # incoming connections. There is no default, so Redis will not listen
      # on a unix socket when not specified.
      #
      # unixsocket /tmp/redis.sock
      # unixsocketperm 700
      
      # Close the connection after a client is idle for N seconds (0 to disable)
      timeout 0
      
      # TCP keepalive.
      #
      # If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
      # of communication. This is useful for two reasons:
      #
      # 1) Detect dead peers.
      # 2) Take the connection alive from the point of view of network
      #    equipment in the middle.
      #
      # On Linux, the specified value (in seconds) is the period used to send ACKs.
      # Note that to close the connection the double of the time is needed.
      # On other kernels the period depends on the kernel configuration.
      #
      # A reasonable value for this option is 300 seconds, which is the new
      # Redis default starting with Redis 3.2.1.
      tcp-keepalive 300
      
      ################################# GENERAL #####################################
      
      # By default Redis does not run as a daemon. Use 'yes' if you need it.
      # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
      daemonize no
      
      # If you run Redis from upstart or systemd, Redis can interact with your
      # supervision tree. Options:
      #   supervised no      - no supervision interaction
      #   supervised upstart - signal upstart by putting Redis into SIGSTOP mode
      #   supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
      #   supervised auto    - detect upstart or systemd method based on
      #                        UPSTART_JOB or NOTIFY_SOCKET environment variables
      # Note: these supervision methods only signal "process is ready."
      #       They do not enable continuous liveness pings back to your supervisor.
      supervised no
      
      # If a pid file is specified, Redis writes it where specified at startup
      # and removes it at exit.
      #
      # When the server runs non daemonized, no pid file is created if none is
      # specified in the configuration. When the server is daemonized, the pid file
      # is used even if not specified, defaulting to "/var/run/redis.pid".
      #
      # Creating a pid file is best effort: if Redis is not able to create it
      # nothing bad happens, the server will start and run normally.
      pidfile /var/run/redis_6379.pid
      
      # Specify the server verbosity level.
      # This can be one of:
      # debug (a lot of information, useful for development/testing)
      # verbose (many rarely useful info, but not a mess like the debug level)
      # notice (moderately verbose, what you want in production probably)
      # warning (only very important / critical messages are logged)
      loglevel notice
      
      # Specify the log file name. Also the empty string can be used to force
      # Redis to log on the standard output. Note that if you use standard
      # output for logging but daemonize, logs will be sent to /dev/null
      logfile ""
      
      # To enable logging to the system logger, just set 'syslog-enabled' to yes,
      # and optionally update the other syslog parameters to suit your needs.
      # syslog-enabled no
      
      # Specify the syslog identity.
      # syslog-ident redis
      
      # Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7.
      # syslog-facility local0
      
      # Set the number of databases. The default database is DB 0, you can select
      # a different one on a per-connection basis using SELECT <dbid> where
      # dbid is a number between 0 and 'databases'-1
      databases 16
      
      # 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. 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 yes
      
      ################################ SNAPSHOTTING  ################################
      #
      # Save the DB on disk:
      #
      #   save <seconds> <changes>
      #
      #   Will save the DB if both the given number of seconds and the given
      #   number of write operations against the DB occurred.
      #
      #   In the example below the behaviour will be to save:
      #   after 900 sec (15 min) if at least 1 key changed
      #   after 300 sec (5 min) if at least 10 keys changed
      #   after 60 sec if at least 10000 keys changed
      #
      #   Note: you can disable saving completely by commenting out all "save" lines.
      #
      #   It is also possible to remove all the previously configured save
      #   points by adding a save directive with a single empty string argument
      #   like in the following example:
      #
      #   save ""
      
      save 900 1
      save 300 10
      save 60 10000
      
      # By default Redis will stop accepting writes if RDB snapshots are enabled
      # (at least one save point) and the latest background save failed.
      # This will make the user aware (in a hard way) that data is not persisting
      # on disk properly, otherwise chances are that no one will notice and some
      # disaster will happen.
      #
      # If the background saving process will start working again Redis will
      # automatically allow writes again.
      #
      # However if you have setup your proper monitoring of the Redis server
      # and persistence, you may want to disable this feature so that Redis will
      # continue to work as usual even if there are problems with disk,
      # permissions, and so forth.
      stop-writes-on-bgsave-error yes
      
      # Compress string objects using LZF when dump .rdb databases?
      # For default that's set to 'yes' as it's almost always a win.
      # If you want to save some CPU in the saving child set it to 'no' but
      # the dataset will likely be bigger if you have compressible values or keys.
      rdbcompression yes
      
      # Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
      # This makes the format more resistant to corruption but there is a performance
      # hit to pay (around 10%) when saving and loading RDB files, so you can disable it
      # for maximum performances.
      #
      # RDB files created with checksum disabled have a checksum of zero that will
      # tell the loading code to skip the check.
      rdbchecksum yes
      
      # The filename where to dump the DB
      dbfilename dump.rdb
      
      # The working directory.
      #
      # The DB will be written inside this directory, with the filename specified
      # above using the 'dbfilename' configuration directive.
      #
      # The Append Only File will also be created inside this directory.
      #
      # Note that you must specify a directory here, not a file name.
      dir ./
      
      ################################# REPLICATION #################################
      
      # Master-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>
      
      # 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>
      
      # 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 the kind of commands
      #    but to INFO, replicaOF, AUTH, PING, SHUTDOWN, REPLCONF, ROLE, CONFIG,
      #    SUBSCRIBE, UNSUBSCRIBE, PSUBSCRIBE, PUNSUBSCRIBE, PUBLISH, PUBSUB,
      #    COMMAND, POST, HOST: and LATENCY.
      #
      replica-serve-stale-data yes
      
      # 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
      
      # Replication SYNC strategy: disk or socket.
      #
      # -------------------------------------------------------
      # WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
      # -------------------------------------------------------
      #
      # 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
      
      # 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
      
      # Replicas send PINGs to server in a predefined interval. It's possible to change
      # this interval with the repl_ping_replica_period option. The default value is 10
      # seconds.
      #
      # repl-ping-replica-period 10
      
      # The following option sets the replication timeout for:
      #
      # 1) Bulk transfer I/O during SYNC, from the point of view of replica.
      # 2) Master timeout from the point of view of replicas (data, pings).
      # 3) Replica timeout from the point of view of masters (REPLCONF ACK pings).
      #
      # It is important to make sure that this value is greater than the value
      # specified for repl-ping-replica-period otherwise a timeout will be detected
      # every time there is low traffic between the master and the replica.
      #
      # repl-timeout 60
      
      # Disable TCP_NODELAY on the replica socket after SYNC?
      #
      # If you select "yes" Redis will use a smaller number of TCP packets and
      # less bandwidth to send data to replicas. But this can add a delay for
      # the data to appear on the replica side, up to 40 milliseconds with
      # Linux kernels using a default configuration.
      #
      # If you select "no" the delay for data to appear on the replica side will
      # be reduced but more bandwidth will be used for replication.
      #
      # By default we optimize for low latency, but in very high traffic conditions
      # or when the master and replicas are many hops away, turning this to "yes" may
      # be a good idea.
      repl-disable-tcp-nodelay no
      
      # Set the replication backlog size. The backlog is a buffer that accumulates
      # replica data when replicas are disconnected for some time, so that when a replica
      # wants to reconnect again, often a full resync is not needed, but a partial
      # resync is enough, just passing the portion of data the replica missed while
      # disconnected.
      #
      # The bigger the replication backlog, the longer the time the replica can be
      # disconnected and later be able to perform a partial resynchronization.
      #
      # The backlog is only allocated once there is at least a replica connected.
      #
      # repl-backlog-size 1mb
      
      # After a master has no longer connected replicas for some time, the backlog
      # will be freed. The following option configures the amount of seconds that
      # need to elapse, starting from the time the last replica disconnected, for
      # the backlog buffer to be freed.
      #
      # Note that replicas never free the backlog for timeout, since they may be
      # promoted to masters later, and should be able to correctly "partially
      # resynchronize" with the replicas: hence they should always accumulate backlog.
      #
      # A value of 0 means to never release the backlog.
      #
      # repl-backlog-ttl 3600
      
      # The replica priority is an integer number published by Redis in the INFO output.
      # It is used by Redis Sentinel in order to select a replica to promote into a
      # master if the master is no longer working correctly.
      #
      # A replica with a low priority number is considered better for promotion, so
      # for instance if there are three replicas with priority 10, 100, 25 Sentinel will
      # pick the one with priority 10, that is the lowest.
      #
      # However a special priority of 0 marks the replica as not able to perform the
      # role of master, so a replica with priority of 0 will never be selected by
      # Redis Sentinel for promotion.
      #
      # By default the priority is 100.
      replica-priority 100
      
      # It is possible for a master to stop accepting writes if there are less than
      # N replicas connected, having a lag less or equal than M seconds.
      #
      # The N replicas need to be in "online" state.
      #
      # The lag in seconds, that must be <= the specified value, is calculated from
      # the last ping received from the replica, that is usually sent every second.
      #
      # This option does not GUARANTEE that N replicas will accept the write, but
      # will limit the window of exposure for lost writes in case not enough replicas
      # are available, to the specified number of seconds.
      #
      # For example to require at least 3 replicas with a lag <= 10 seconds use:
      #
      # min-replicas-to-write 3
      # min-replicas-max-lag 10
      #
      # Setting one or the other to 0 disables the feature.
      #
      # By default min-replicas-to-write is set to 0 (feature disabled) and
      # min-replicas-max-lag is set to 10.
      
      # A Redis master is able to list the address and port of the attached
      # replicas in different ways. For example the "INFO replication" section
      # offers this information, which is used, among other tools, by
      # Redis Sentinel in order to discover replica instances.
      # Another place where this info is available is in the output of the
      # "ROLE" command of a master.
      #
      # The listed IP and address normally reported by a replica is obtained
      # in the following way:
      #
      #   IP: The address is auto detected by checking the peer address
      #   of the socket used by the replica to connect with the master.
      #
      #   Port: The port is communicated by the replica during the replication
      #   handshake, and is normally the port that the replica is using to
      #   listen for connections.
      #
      # However when port forwarding or Network Address Translation (NAT) is
      # used, the replica may be actually reachable via different IP and port
      # pairs. The following two options can be used by a replica in order to
      # report to its master a specific set of IP and port, so that both INFO
      # and ROLE will report those values.
      #
      # There is no need to use both the options if you need to override just
      # the port or the IP address.
      #
      # replica-announce-ip 5.5.5.5
      # replica-announce-port 1234
      
      ################################## SECURITY ###################################
      
      # Require clients to issue AUTH <PASSWORD> before processing any other
      # commands.  This might be useful in environments in which you do not trust
      # others with access to the host running redis-server.
      #
      # This should stay commented out for backward compatibility and because most
      # people do not need auth (e.g. they run their own servers).
      #
      # Warning: since Redis is pretty fast an outside user can try up to
      # 150k passwords per second against a good box. This means that you should
      # use a very strong password otherwise it will be very easy to break.
      #
      # requirepass foobared
      
      # Command renaming.
      #
      # It is possible to change the name of dangerous commands in a shared
      # environment. For instance the CONFIG command may be renamed into something
      # hard to guess so that it will still be available for internal-use tools
      # but not available for general clients.
      #
      # Example:
      #
      # rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
      #
      # It is also possible to completely kill a command by renaming it into
      # an empty string:
      #
      # rename-command CONFIG ""
      #
      # Please note that changing the name of commands that are logged into the
      # AOF file or transmitted to replicas may cause problems.
      
      ################################### CLIENTS ####################################
      
      # Set the max number of connected clients at the same time. By default
      # this limit is set to 10000 clients, however if the Redis server is not
      # able to configure the process file limit to allow for the specified limit
      # the max number of allowed clients is set to the current file limit
      # minus 32 (as Redis reserves a few file descriptors for internal uses).
      #
      # Once the limit is reached Redis will close all the new connections sending
      # an error 'max number of clients reached'.
      #
      # maxclients 10000
      
      ############################## MEMORY MANAGEMENT ################################
      
      # Set a memory usage limit to the specified amount of bytes.
      # When the memory limit is reached Redis will try to remove keys
      # according to the eviction policy selected (see maxmemory-policy).
      #
      # If Redis can't remove keys according to the policy, or if the policy is
      # set to 'noeviction', Redis will start to reply with errors to commands
      # that would use more memory, like SET, LPUSH, and so on, and will continue
      # to reply to read-only commands like GET.
      #
      # This option is usually useful when using Redis as an LRU or LFU cache, or to
      # set a hard memory limit for an instance (using the 'noeviction' policy).
      #
      # WARNING: If you have replicas attached to an instance with maxmemory on,
      # the size of the output buffers needed to feed the replicas are subtracted
      # from the used memory count, so that network problems / resyncs will
      # not trigger a loop where keys are evicted, and in turn the output
      # buffer of replicas is full with DELs of keys evicted triggering the deletion
      # of more keys, and so forth until the database is completely emptied.
      #
      # In short... if you have replicas attached it is suggested that you set a lower
      # limit for maxmemory so that there is some free RAM on the system for replica
      # output buffers (but this is not needed if the policy is 'noeviction').
      #
      # maxmemory <bytes>
      
      # MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
      # is reached. You can select among five behaviors:
      #
      # volatile-lru -> Evict using approximated LRU among the keys with an expire set.
      # allkeys-lru -> Evict any key using approximated LRU.
      # volatile-lfu -> Evict using approximated LFU among the keys with an expire set.
      # allkeys-lfu -> Evict any key using approximated LFU.
      # volatile-random -> Remove a random key among the ones with an expire set.
      # allkeys-random -> Remove a random key, any key.
      # volatile-ttl -> Remove the key with the nearest expire time (minor TTL)
      # noeviction -> Don't evict anything, just return an error on write operations.
      #
      # LRU means Least Recently Used
      # LFU means Least Frequently Used
      #
      # Both LRU, LFU and volatile-ttl are implemented using approximated
      # randomized algorithms.
      #
      # Note: with any of the above policies, Redis will return an error on write
      #       operations, when there are no suitable keys for eviction.
      #
      #       At the date of writing these commands are: set setnx setex append
      #       incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
      #       sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
      #       zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
      #       getset mset msetnx exec sort
      #
      # The default is:
      #
      # maxmemory-policy noeviction
      
      # LRU, LFU and minimal TTL algorithms are not precise algorithms but approximated
      # algorithms (in order to save memory), so you can tune it for speed or
      # accuracy. For default Redis will check five keys and pick the one that was
      # used less recently, you can change the sample size using the following
      # configuration directive.
      #
      # The default of 5 produces good enough results. 10 Approximates very closely
      # true LRU but costs more CPU. 3 is faster but not very accurate.
      #
      # maxmemory-samples 5
      
      # 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
      
      ############################# LAZY FREEING ####################################
      
      # Redis has two primitives to delete keys. One is called DEL and is a blocking
      # deletion of the object. It means that the server stops processing new commands
      # in order to reclaim all the memory associated with an object in a synchronous
      # way. If the key deleted is associated with a small object, the time needed
      # in order to execute the DEL command is very small and comparable to most other
      # O(1) or O(log_N) commands in Redis. However if the key is associated with an
      # aggregated value containing millions of elements, the server can block for
      # a long time (even seconds) in order to complete the operation.
      #
      # For the above reasons Redis also offers non blocking deletion primitives
      # such as UNLINK (non blocking DEL) and the ASYNC option of FLUSHALL and
      # FLUSHDB commands, in order to reclaim memory in background. Those commands
      # are executed in constant time. Another thread will incrementally free the
      # object in the background as fast as possible.
      #
      # DEL, UNLINK and ASYNC option of FLUSHALL and FLUSHDB are user-controlled.
      # It's up to the design of the application to understand when it is a good
      # idea to use one or the other. However the Redis server sometimes has to
      # delete keys or flush the whole database as a side effect of other operations.
      # Specifically Redis deletes objects independently of a user call in the
      # following scenarios:
      #
      # 1) On eviction, because of the maxmemory and maxmemory policy configurations,
      #    in order to make room for new data, without going over the specified
      #    memory limit.
      # 2) Because of expire: when a key with an associated time to live (see the
      #    EXPIRE command) must be deleted from memory.
      # 3) Because of a side effect of a command that stores data on a key that may
      #    already exist. For example the RENAME command may delete the old key
      #    content when it is replaced with another one. Similarly SUNIONSTORE
      #    or SORT with STORE option may delete existing keys. The SET command
      #    itself removes any old content of the specified key in order to replace
      #    it with the specified string.
      # 4) During replication, when a replica performs a full resynchronization with
      #    its master, the content of the whole database is removed in order to
      #    load the RDB file just transferred.
      #
      # In all the above cases the default is to delete objects in a blocking way,
      # like if DEL was called. However you can configure each case specifically
      # in order to instead release memory in a non-blocking way like if UNLINK
      # was called, using the following configuration directives:
      
      lazyfree-lazy-eviction no
      lazyfree-lazy-expire no
      lazyfree-lazy-server-del no
      replica-lazy-flush no
      
      ############################## APPEND ONLY MODE ###############################
      
      # By default Redis asynchronously dumps the dataset on disk. This mode is
      # good enough in many applications, but an issue with the Redis process or
      # a power outage may result into a few minutes of writes lost (depending on
      # the configured save points).
      #
      # The Append Only File is an alternative persistence mode that provides
      # much better durability. For instance using the default data fsync policy
      # (see later in the config file) Redis can lose just one second of writes in a
      # dramatic event like a server power outage, or a single write if something
      # wrong with the Redis process itself happens, but the operating system is
      # still running correctly.
      #
      # AOF and RDB persistence can be enabled at the same time without problems.
      # If the AOF is enabled on startup Redis will load the AOF, that is the file
      # with the better durability guarantees.
      #
      # Please check http://redis.io/topics/persistence for more information.
      
      appendonly no
      
      # The name of the append only file (default: "appendonly.aof")
      
      appendfilename "appendonly.aof"
      
      # The fsync() call tells the Operating System to actually write data on disk
      # instead of waiting for more data in the output buffer. Some OS will really flush
      # data on disk, some other OS will just try to do it ASAP.
      #
      # Redis supports three different modes:
      #
      # no: don't fsync, just let the OS flush the data when it wants. Faster.
      # always: fsync after every write to the append only log. Slow, Safest.
      # everysec: fsync only one time every second. Compromise.
      #
      # The default is "everysec", as that's usually the right compromise between
      # speed and data safety. It's up to you to understand if you can relax this to
      # "no" that will let the operating system flush the output buffer when
      # it wants, for better performances (but if you can live with the idea of
      # some data loss consider the default persistence mode that's snapshotting),
      # or on the contrary, use "always" that's very slow but a bit safer than
      # everysec.
      #
      # More details please check the following article:
      # http://antirez.com/post/redis-persistence-demystified.html
      #
      # If unsure, use "everysec".
      
      # appendfsync always
      appendfsync everysec
      # appendfsync no
      
      # When the AOF fsync policy is set to always or everysec, and a background
      # saving process (a background save or AOF log background rewriting) is
      # performing a lot of I/O against the disk, in some Linux configurations
      # Redis may block too long on the fsync() call. Note that there is no fix for
      # this currently, as even performing fsync in a different thread will block
      # our synchronous write(2) call.
      #
      # In order to mitigate this problem it's possible to use the following option
      # that will prevent fsync() from being called in the main process while a
      # BGSAVE or BGREWRITEAOF is in progress.
      #
      # This means that while another child is saving, the durability of Redis is
      # the same as "appendfsync none". In practical terms, this means that it is
      # possible to lose up to 30 seconds of log in the worst scenario (with the
      # default Linux settings).
      #
      # If you have latency problems turn this to "yes". Otherwise leave it as
      # "no" that is the safest pick from the point of view of durability.
      
      no-appendfsync-on-rewrite no
      
      # Automatic rewrite of the append only file.
      # Redis is able to automatically rewrite the log file implicitly calling
      # BGREWRITEAOF when the AOF log size grows by the specified percentage.
      #
      # This is how it works: Redis remembers the size of the AOF file after the
      # latest rewrite (if no rewrite has happened since the restart, the size of
      # the AOF at startup is used).
      #
      # This base size is compared to the current size. If the current size is
      # bigger than the specified percentage, the rewrite is triggered. Also
      # you need to specify a minimal size for the AOF file to be rewritten, this
      # is useful to avoid rewriting the AOF file even if the percentage increase
      # is reached but it is still pretty small.
      #
      # Specify a percentage of zero in order to disable the automatic AOF
      # rewrite feature.
      
      auto-aof-rewrite-percentage 100
      auto-aof-rewrite-min-size 64mb
      
      # An AOF file may be found to be truncated at the end during the Redis
      # startup process, when the AOF data gets loaded back into memory.
      # This may happen when the system where Redis is running
      # crashes, especially when an ext4 filesystem is mounted without the
      # data=ordered option (however this can't happen when Redis itself
      # crashes or aborts but the operating system still works correctly).
      #
      # Redis can either exit with an error when this happens, or load as much
      # data as possible (the default now) and start if the AOF file is found
      # to be truncated at the end. The following option controls this behavior.
      #
      # If aof-load-truncated is set to yes, a truncated AOF file is loaded and
      # the Redis server starts emitting a log to inform the user of the event.
      # Otherwise if the option is set to no, the server aborts with an error
      # and refuses to start. When the option is set to no, the user requires
      # to fix the AOF file using the "redis-check-aof" utility before to restart
      # the server.
      #
      # Note that if the AOF file will be found to be corrupted in the middle
      # the server will still exit with an error. This option only applies when
      # Redis will try to read more data from the AOF file but not enough bytes
      # will be found.
      aof-load-truncated yes
      
      # When rewriting the AOF file, Redis is able to use an RDB preamble in the
      # AOF file for faster rewrites and recoveries. When this option is turned
      # on the rewritten AOF file is composed of two different stanzas:
      #
      #   [RDB file][AOF tail]
      #
      # When loading Redis recognizes that the AOF file starts with the "REDIS"
      # string and loads the prefixed RDB file, and continues loading the AOF
      # tail.
      aof-use-rdb-preamble yes
      
      ################################ LUA SCRIPTING  ###############################
      
      # Max execution time of a Lua script in milliseconds.
      #
      # If the maximum execution time is reached Redis will log that a script is
      # still in execution after the maximum allowed time and will start to
      # reply to queries with an error.
      #
      # When a long running script exceeds the maximum execution time only the
      # SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
      # used to stop a script that did not yet called write commands. The second
      # is the only way to shut down the server in the case a write command was
      # already issued by the script but the user doesn't want to wait for the natural
      # termination of the script.
      #
      # Set it to 0 or a negative value for unlimited execution without warnings.
      lua-time-limit 5000
      
      ################################ REDIS CLUSTER  ###############################
      
      # Normal Redis instances can't be part of a Redis Cluster; only nodes that are
      # started as cluster nodes can. In order to start a Redis instance as a
      # cluster node enable the cluster support uncommenting the following:
      #
      # cluster-enabled yes
      
      # Every cluster node has a cluster configuration file. This file is not
      # intended to be edited by hand. It is created and updated by Redis nodes.
      # Every Redis Cluster node requires a different cluster configuration file.
      # Make sure that instances running in the same system do not have
      # overlapping cluster configuration file names.
      #
      # cluster-config-file nodes-6379.conf
      
      # Cluster node timeout is the amount of milliseconds a node must be unreachable
      # for it to be considered in failure state.
      # Most other internal time limits are multiple of the node timeout.
      #
      # cluster-node-timeout 15000
      
      # A replica of a failing master will avoid to start a failover if its data
      # looks too old.
      #
      # There is no simple way for a replica to actually have an exact measure of
      # its "data age", so the following two checks are performed:
      #
      # 1) If there are multiple replicas able to failover, they exchange messages
      #    in order to try to give an advantage to the replica with the best
      #    replication offset (more data from the master processed).
      #    Replicas will try to get their rank by offset, and apply to the start
      #    of the failover a delay proportional to their rank.
      #
      # 2) Every single replica computes the time of the last interaction with
      #    its master. This can be the last ping or command received (if the master
      #    is still in the "connected" state), or the time that elapsed since the
      #    disconnection with the master (if the replication link is currently down).
      #    If the last interaction is too old, the replica will not try to failover
      #    at all.
      #
      # The point "2" can be tuned by user. Specifically a replica will not perform
      # the failover if, since the last interaction with the master, the time
      # elapsed is greater than:
      #
      #   (node-timeout * replica-validity-factor) + repl-ping-replica-period
      #
      # So for example if node-timeout is 30 seconds, and the replica-validity-factor
      # is 10, and assuming a default repl-ping-replica-period of 10 seconds, the
      # replica will not try to failover if it was not able to talk with the master
      # for longer than 310 seconds.
      #
      # A large replica-validity-factor may allow replicas with too old data to failover
      # a master, while a too small value may prevent the cluster from being able to
      # elect a replica at all.
      #
      # For maximum availability, it is possible to set the replica-validity-factor
      # to a value of 0, which means, that replicas will always try to failover the
      # master regardless of the last time they interacted with the master.
      # (However they'll always try to apply a delay proportional to their
      # offset rank).
      #
      # Zero is the only value able to guarantee that when all the partitions heal
      # the cluster will always be able to continue.
      #
      # cluster-replica-validity-factor 10
      
      # Cluster replicas are able to migrate to orphaned masters, that are masters
      # that are left without working replicas. This improves the cluster ability
      # to resist to failures as otherwise an orphaned master can't be failed over
      # in case of failure if it has no working replicas.
      #
      # Replicas migrate to orphaned masters only if there are still at least a
      # given number of other working replicas for their old master. This number
      # is the "migration barrier". A migration barrier of 1 means that a replica
      # will migrate only if there is at least 1 other working replica for its master
      # and so forth. It usually reflects the number of replicas you want for every
      # master in your cluster.
      #
      # Default is 1 (replicas migrate only if their masters remain with at least
      # one replica). To disable migration just set it to a very large value.
      # A value of 0 can be set but is useful only for debugging and dangerous
      # in production.
      #
      # cluster-migration-barrier 1
      
      # By default Redis Cluster nodes stop accepting queries if they detect there
      # is at least an hash slot uncovered (no available node is serving it).
      # This way if the cluster is partially down (for example a range of hash slots
      # are no longer covered) all the cluster becomes, eventually, unavailable.
      # It automatically returns available as soon as all the slots are covered again.
      #
      # However sometimes you want the subset of the cluster which is working,
      # to continue to accept queries for the part of the key space that is still
      # covered. In order to do so, just set the cluster-require-full-coverage
      # option to no.
      #
      # cluster-require-full-coverage yes
      
      # This option, when set to yes, prevents replicas from trying to failover its
      # master during master failures. However the master can still perform a
      # manual failover, if forced to do so.
      #
      # This is useful in different scenarios, especially in the case of multiple
      # data center operations, where we want one side to never be promoted if not
      # in the case of a total DC failure.
      #
      # cluster-replica-no-failover no
      
      # In order to setup your cluster make sure to read the documentation
      # available at http://redis.io web site.
      
      ########################## CLUSTER DOCKER/NAT support  ########################
      
      # In certain deployments, Redis Cluster nodes address discovery fails, because
      # addresses are NAT-ted or because ports are forwarded (the typical case is
      # Docker and other containers).
      #
      # In order to make Redis Cluster working in such environments, a static
      # configuration where each node knows its public address is needed. The
      # following two options are used for this scope, and are:
      #
      # * cluster-announce-ip
      # * cluster-announce-port
      # * cluster-announce-bus-port
      #
      # Each instruct the node about its address, client port, and cluster message
      # bus port. The information is then published in the header of the bus packets
      # so that other nodes will be able to correctly map the address of the node
      # publishing the information.
      #
      # If the above options are not used, the normal Redis Cluster auto-detection
      # will be used instead.
      #
      # Note that when remapped, the bus port may not be at the fixed offset of
      # clients port + 10000, so you can specify any port and bus-port depending
      # on how they get remapped. If the bus-port is not set, a fixed offset of
      # 10000 will be used as usually.
      #
      # Example:
      #
      # cluster-announce-ip 10.1.1.5
      # cluster-announce-port 6379
      # cluster-announce-bus-port 6380
      
      ################################## SLOW LOG ###################################
      
      # The Redis Slow Log is a system to log queries that exceeded a specified
      # execution time. The execution time does not include the I/O operations
      # like talking with the client, sending the reply and so forth,
      # but just the time needed to actually execute the command (this is the only
      # stage of command execution where the thread is blocked and can not serve
      # other requests in the meantime).
      #
      # You can configure the slow log with two parameters: one tells Redis
      # what is the execution time, in microseconds, to exceed in order for the
      # command to get logged, and the other parameter is the length of the
      # slow log. When a new command is logged the oldest one is removed from the
      # queue of logged commands.
      
      # The following time is expressed in microseconds, so 1000000 is equivalent
      # to one second. Note that a negative number disables the slow log, while
      # a value of zero forces the logging of every command.
      slowlog-log-slower-than 10000
      
      # There is no limit to this length. Just be aware that it will consume memory.
      # You can reclaim memory used by the slow log with SLOWLOG RESET.
      slowlog-max-len 128
      
      ################################ LATENCY MONITOR ##############################
      
      # The Redis latency monitoring subsystem samples different operations
      # at runtime in order to collect data related to possible sources of
      # latency of a Redis instance.
      #
      # Via the LATENCY command this information is available to the user that can
      # print graphs and obtain reports.
      #
      # The system only logs operations that were performed in a time equal or
      # greater than the amount of milliseconds specified via the
      # latency-monitor-threshold configuration directive. When its value is set
      # to zero, the latency monitor is turned off.
      #
      # By default latency monitoring is disabled since it is mostly not needed
      # if you don't have latency issues, and collecting data has a performance
      # impact, that while very small, can be measured under big load. Latency
      # monitoring can easily be enabled at runtime using the command
      # "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
      latency-monitor-threshold 0
      
      ############################# EVENT NOTIFICATION ##############################
      
      # Redis can notify Pub/Sub clients about events happening in the key space.
      # This feature is documented at http://redis.io/topics/notifications
      #
      # For instance if keyspace events notification is enabled, and a client
      # performs a DEL operation on key "foo" stored in the Database 0, two
      # messages will be published via Pub/Sub:
      #
      # PUBLISH __keyspace@0__:foo del
      # PUBLISH __keyevent@0__:del foo
      #
      # It is possible to select the events that Redis will notify among a set
      # of classes. Every class is identified by a single character:
      #
      #  K     Keyspace events, published with __keyspace@<db>__ prefix.
      #  E     Keyevent events, published with __keyevent@<db>__ prefix.
      #  g     Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
      #  $     String commands
      #  l     List commands
      #  s     Set commands
      #  h     Hash commands
      #  z     Sorted set commands
      #  x     Expired events (events generated every time a key expires)
      #  e     Evicted events (events generated when a key is evicted for maxmemory)
      #  A     Alias for g$lshzxe, so that the "AKE" string means all the events.
      #
      #  The "notify-keyspace-events" takes as argument a string that is composed
      #  of zero or multiple characters. The empty string means that notifications
      #  are disabled.
      #
      #  Example: to enable list and generic events, from the point of view of the
      #           event name, use:
      #
      #  notify-keyspace-events Elg
      #
      #  Example 2: to get the stream of the expired keys subscribing to channel
      #             name __keyevent@0__:expired use:
      #
      #  notify-keyspace-events Ex
      #
      #  By default all notifications are disabled because most users don't need
      #  this feature and the feature has some overhead. Note that if you don't
      #  specify at least one of K or E, no events will be delivered.
      notify-keyspace-events ""
      
      ############################### ADVANCED CONFIG ###############################
      
      # Hashes are encoded using a memory efficient data structure when they have a
      # small number of entries, and the biggest entry does not exceed a given
      # threshold. These thresholds can be configured using the following directives.
      hash-max-ziplist-entries 512
      hash-max-ziplist-value 64
      
      # Lists are also encoded in a special way to save a lot of space.
      # The number of entries allowed per internal list node can be specified
      # as a fixed maximum size or a maximum number of elements.
      # For a fixed maximum size, use -5 through -1, meaning:
      # -5: max size: 64 Kb  <-- not recommended for normal workloads
      # -4: max size: 32 Kb  <-- not recommended
      # -3: max size: 16 Kb  <-- probably not recommended
      # -2: max size: 8 Kb   <-- good
      # -1: max size: 4 Kb   <-- good
      # Positive numbers mean store up to _exactly_ that number of elements
      # per list node.
      # The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
      # but if your use case is unique, adjust the settings as necessary.
      list-max-ziplist-size -2
      
      # Lists may also be compressed.
      # Compress depth is the number of quicklist ziplist nodes from *each* side of
      # the list to *exclude* from compression.  The head and tail of the list
      # are always uncompressed for fast push/pop operations.  Settings are:
      # 0: disable all list compression
      # 1: depth 1 means "don't start compressing until after 1 node into the list,
      #    going from either the head or tail"
      #    So: [head]->node->node->...->node->[tail]
      #    [head], [tail] will always be uncompressed; inner nodes will compress.
      # 2: [head]->[next]->node->node->...->node->[prev]->[tail]
      #    2 here means: don't compress head or head->next or tail->prev or tail,
      #    but compress all nodes between them.
      # 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
      # etc.
      list-compress-depth 0
      
      # Sets have a special encoding in just one case: when a set is composed
      # of just strings that happen to be integers in radix 10 in the range
      # of 64 bit signed integers.
      # The following configuration setting sets the limit in the size of the
      # set in order to use this special memory saving encoding.
      set-max-intset-entries 512
      
      # Similarly to hashes and lists, sorted sets are also specially encoded in
      # order to save a lot of space. This encoding is only used when the length and
      # elements of a sorted set are below the following limits:
      zset-max-ziplist-entries 128
      zset-max-ziplist-value 64
      
      # HyperLogLog sparse representation bytes limit. The limit includes the
      # 16 bytes header. When an HyperLogLog using the sparse representation crosses
      # this limit, it is converted into the dense representation.
      #
      # A value greater than 16000 is totally useless, since at that point the
      # dense representation is more memory efficient.
      #
      # The suggested value is ~ 3000 in order to have the benefits of
      # the space efficient encoding without slowing down too much PFADD,
      # which is O(N) with the sparse encoding. The value can be raised to
      # ~ 10000 when CPU is not a concern, but space is, and the data set is
      # composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
      hll-sparse-max-bytes 3000
      
      # Streams macro node max size / items. The stream data structure is a radix
      # tree of big nodes that encode multiple items inside. Using this configuration
      # it is possible to configure how big a single node can be in bytes, and the
      # maximum number of items it may contain before switching to a new node when
      # appending new stream entries. If any of the following settings are set to
      # zero, the limit is ignored, so for instance it is possible to set just a
      # max entires limit by setting max-bytes to 0 and max-entries to the desired
      # value.
      stream-node-max-bytes 4096
      stream-node-max-entries 100
      
      # Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
      # order to help rehashing the main Redis hash table (the one mapping top-level
      # keys to values). The hash table implementation Redis uses (see dict.c)
      # performs a lazy rehashing: the more operation you run into a hash table
      # that is rehashing, the more rehashing "steps" are performed, so if the
      # server is idle the rehashing is never complete and some more memory is used
      # by the hash table.
      #
      # The default is to use this millisecond 10 times every second in order to
      # actively rehash the main dictionaries, freeing memory when possible.
      #
      # If unsure:
      # use "activerehashing no" if you have hard latency requirements and it is
      # not a good thing in your environment that Redis can reply from time to time
      # to queries with 2 milliseconds delay.
      #
      # use "activerehashing yes" if you don't have such hard requirements but
      # want to free memory asap when possible.
      activerehashing yes
      
      # The client output buffer limits can be used to force disconnection of clients
      # that are not reading data from the server fast enough for some reason (a
      # common reason is that a Pub/Sub client can't consume messages as fast as the
      # publisher can produce them).
      #
      # The limit can be set differently for the three different classes of clients:
      #
      # normal -> normal clients including MONITOR clients
      # replica  -> replica clients
      # pubsub -> clients subscribed to at least one pubsub channel or pattern
      #
      # The syntax of every client-output-buffer-limit directive is the following:
      #
      # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
      #
      # A client is immediately disconnected once the hard limit is reached, or if
      # the soft limit is reached and remains reached for the specified number of
      # seconds (continuously).
      # So for instance if the hard limit is 32 megabytes and the soft limit is
      # 16 megabytes / 10 seconds, the client will get disconnected immediately
      # if the size of the output buffers reach 32 megabytes, but will also get
      # disconnected if the client reaches 16 megabytes and continuously overcomes
      # the limit for 10 seconds.
      #
      # By default normal clients are not limited because they don't receive data
      # without asking (in a push way), but just after a request, so only
      # asynchronous clients may create a scenario where data is requested faster
      # than it can read.
      #
      # Instead there is a default limit for pubsub and replica clients, since
      # subscribers and replicas receive data in a push fashion.
      #
      # Both the hard or the soft limit can be disabled by setting them to zero.
      client-output-buffer-limit normal 0 0 0
      client-output-buffer-limit replica 256mb 64mb 60
      client-output-buffer-limit pubsub 32mb 8mb 60
      
      # Client query buffers accumulate new commands. They are limited to a fixed
      # amount by default in order to avoid that a protocol desynchronization (for
      # instance due to a bug in the client) will lead to unbound memory usage in
      # the query buffer. However you can configure it here if you have very special
      # needs, such us huge multi/exec requests or alike.
      #
      # client-query-buffer-limit 1gb
      
      # In the Redis protocol, bulk requests, that are, elements representing single
      # strings, are normally limited ot 512 mb. However you can change this limit
      # here.
      #
      # proto-max-bulk-len 512mb
      
      # Redis calls an internal function to perform many background tasks, like
      # closing connections of clients in timeout, purging expired keys that are
      # never requested, and so forth.
      #
      # Not all tasks are performed with the same frequency, but Redis checks for
      # tasks to perform according to the specified "hz" value.
      #
      # By default "hz" is set to 10. Raising the value will use more CPU when
      # Redis is idle, but at the same time will make Redis more responsive when
      # there are many keys expiring at the same time, and timeouts may be
      # handled with more precision.
      #
      # The range is between 1 and 500, however a value over 100 is usually not
      # a good idea. Most users should use the default of 10 and raise this up to
      # 100 only in environments where very low latency is required.
      hz 10
      
      # Normally it is useful to have an HZ value which is proportional to the
      # number of clients connected. This is useful in order, for instance, to
      # avoid too many clients are processed for each background task invocation
      # in order to avoid latency spikes.
      #
      # Since the default HZ value by default is conservatively set to 10, Redis
      # offers, and enables by default, the ability to use an adaptive HZ value
      # which will temporary raise when there are many connected clients.
      #
      # When dynamic HZ is enabled, the actual configured HZ will be used as
      # as a baseline, but multiples of the configured HZ value will be actually
      # used as needed once more clients are connected. In this way an idle
      # instance will use very little CPU time while a busy instance will be
      # more responsive.
      dynamic-hz yes
      
      # When a child rewrites the AOF file, if the following option is enabled
      # the file will be fsync-ed every 32 MB of data generated. This is useful
      # in order to commit the file to the disk more incrementally and avoid
      # big latency spikes.
      aof-rewrite-incremental-fsync yes
      
      # When redis saves RDB file, if the following option is enabled
      # the file will be fsync-ed every 32 MB of data generated. This is useful
      # in order to commit the file to the disk more incrementally and avoid
      # big latency spikes.
      rdb-save-incremental-fsync yes
      
      # Redis LFU eviction (see maxmemory setting) can be tuned. However it is a good
      # idea to start with the default settings and only change them after investigating
      # how to improve the performances and how the keys LFU change over time, which
      # is possible to inspect via the OBJECT FREQ command.
      #
      # There are two tunable parameters in the Redis LFU implementation: the
      # counter logarithm factor and the counter decay time. It is important to
      # understand what the two parameters mean before changing them.
      #
      # The LFU counter is just 8 bits per key, it's maximum value is 255, so Redis
      # uses a probabilistic increment with logarithmic behavior. Given the value
      # of the old counter, when a key is accessed, the counter is incremented in
      # this way:
      #
      # 1. A random number R between 0 and 1 is extracted.
      # 2. A probability P is calculated as 1/(old_value*lfu_log_factor+1).
      # 3. The counter is incremented only if R < P.
      #
      # The default lfu-log-factor is 10. This is a table of how the frequency
      # counter changes with a different number of accesses with different
      # logarithmic factors:
      #
      # +--------+------------+------------+------------+------------+------------+
      # | factor | 100 hits   | 1000 hits  | 100K hits  | 1M hits    | 10M hits   |
      # +--------+------------+------------+------------+------------+------------+
      # | 0      | 104        | 255        | 255        | 255        | 255        |
      # +--------+------------+------------+------------+------------+------------+
      # | 1      | 18         | 49         | 255        | 255        | 255        |
      # +--------+------------+------------+------------+------------+------------+
      # | 10     | 10         | 18         | 142        | 255        | 255        |
      # +--------+------------+------------+------------+------------+------------+
      # | 100    | 8          | 11         | 49         | 143        | 255        |
      # +--------+------------+------------+------------+------------+------------+
      #
      # NOTE: The above table was obtained by running the following commands:
      #
      #   redis-benchmark -n 1000000 incr foo
      #   redis-cli object freq foo
      #
      # NOTE 2: The counter initial value is 5 in order to give new objects a chance
      # to accumulate hits.
      #
      # The counter decay time is the time, in minutes, that must elapse in order
      # for the key counter to be divided by two (or decremented if it has a value
      # less <= 10).
      #
      # The default value for the lfu-decay-time is 1. A Special value of 0 means to
      # decay the counter every time it happens to be scanned.
      #
      # lfu-log-factor 10
      # lfu-decay-time 1
      
      ########################### ACTIVE DEFRAGMENTATION #######################
      #
      # WARNING THIS FEATURE IS EXPERIMENTAL. However it was stress tested
      # even in production and manually tested by multiple engineers for some
      # time.
      #
      # What is active defragmentation?
      # -------------------------------
      #
      # Active (online) defragmentation allows a Redis server to compact the
      # spaces left between small allocations and deallocations of data in memory,
      # thus allowing to reclaim back memory.
      #
      # Fragmentation is a natural process that happens with every allocator (but
      # less so with Jemalloc, fortunately) and certain workloads. Normally a server
      # restart is needed in order to lower the fragmentation, or at least to flush
      # away all the data and create it again. However thanks to this feature
      # implemented by Oran Agra for Redis 4.0 this process can happen at runtime
      # in an "hot" way, while the server is running.
      #
      # Basically when the fragmentation is over a certain level (see the
      # configuration options below) Redis will start to create new copies of the
      # values in contiguous memory regions by exploiting certain specific Jemalloc
      # features (in order to understand if an allocation is causing fragmentation
      # and to allocate it in a better place), and at the same time, will release the
      # old copies of the data. This process, repeated incrementally for all the keys
      # will cause the fragmentation to drop back to normal values.
      #
      # Important things to understand:
      #
      # 1. This feature is disabled by default, and only works if you compiled Redis
      #    to use the copy of Jemalloc we ship with the source code of Redis.
      #    This is the default with Linux builds.
      #
      # 2. You never need to enable this feature if you don't have fragmentation
      #    issues.
      #
      # 3. Once you experience fragmentation, you can enable this feature when
      #    needed with the command "CONFIG SET activedefrag yes".
      #
      # The configuration parameters are able to fine tune the behavior of the
      # defragmentation process. If you are not sure about what they mean it is
      # a good idea to leave the defaults untouched.
      
      # Enabled active defragmentation
      # activedefrag yes
      
      # Minimum amount of fragmentation waste to start active defrag
      # active-defrag-ignore-bytes 100mb
      
      # Minimum percentage of fragmentation to start active defrag
      # active-defrag-threshold-lower 10
      
      # Maximum percentage of fragmentation at which we use maximum effort
      # active-defrag-threshold-upper 100
      
      # Minimal effort for defrag in CPU percentage
      # active-defrag-cycle-min 5
      
      # Maximal effort for defrag in CPU percentage
      # active-defrag-cycle-max 75
      
      # Maximum number of set/hash/zset/list fields that will be processed from
      # the main dictionary scan
      # active-defrag-max-scan-fields 1000
    • docker启动redis
    docker run -p 6379:6379 --name myredis -v /usr/local/docker/redis/redis.conf:/etc/redis/redis.conf \
    -v /usr/local/docker/redis/data:/data \
    -d redis:5.0 \
    redis-server /etc/redis/redis.conf \
    --appendonly yes
    • 修改配置文件
      • bind 127.0.0.1 #注释,限制redis只能本地访问
      • protected-mode no #默认yes,开启保护模式,限制redis本地访问
      • daemonize no #默认no,改成yes会和docker守护进程冲突
      • appendonly yes #数据持久化
      • requirepass 密码 #设置密码
    • 修改配置文件后,重启myredis容器
      • dokcer restart myredis
    • 启动解释
      • -p 6379:6379 将本地的6379端口映射到redis容器内的6379端口(dockerfile写好的)
      • --name 给容器取一个别名
      • -d 守护进程的方式启动
      • -v 挂载目录,将容器目录与本地目录映射
      • redis-server /etc/redis/redis.conf 每次容器启动,都指定配置文件启动
      • --appendonly yes 开启redis持久化
    • 查看容器情况

          

    • 假如存在问题,容器启动不了

      docker logs myredis

    • 进入容器,查看效果

      docker exec -it myredis /bin/bash

    • 查看防火墙

      systemctl status firewalld

    •  开启防火墙

      systemctl start firewalld

    • 添加端口  

      firewall-cmd --zone=public --add-port=6379/tcp --permanent

    • 刷新重置  

      firewall-cmd --reload

    • 将docker设置成开机自启动  

      systemctl enable docker

    • myredis容器设置成随服务启  

      docker update --restart =always myredis

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  • 原文地址:https://www.cnblogs.com/ywjcqq/p/13137510.html
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