1.下载window版的安装包,选择下载msi版本安装即可。
官网不支持下载window版本,只能去github上下载:
window版redis
按步骤安装完毕即可。
2.打开服务，会看到redis服务已开启:
设置启动类型为自动.
这样每次机器重启,redis也将自动启动。
3.安装可视化界面:another.redis.desktop.manager
这是一款免费的redis操作界面,可简单的查看redis数据库。
3.设置云服务上的redis可进行远程连接:
为了后续的开发,应配置远程服务器上的redis可进行远程连接(可通过ip地址+端口号进行访问).
在安装目录下，找到redis.windows-service.conf配置文件
配置文件:
# redis configuration file example # 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 c:\path\to\other.conf ################################ general ##################################### # on windows, daemonize and pidfile are not supported. # however, you can run redis as a windows service, and specify a logfile. # the logfile will contain the pid. # accept connections on the specified port, default is 6379. # 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 # by default redis listens for connections from all the network interfaces # available on the server. it is possible to listen to just one or multiple # interfaces using the "bind" configuration directive, followed by one or # more ip addresses. # # examples: # # bind 192.168.1.100 10.0.0.1 bind 0.0.0.0 # 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 60 seconds. tcp-keepalive 0 # 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 'stdout' can be used to force # redis to log on the standard output. logfile "logs/redis_log.txt" # to enable logging to the windows eventlog, just set 'syslog-enabled' to # yes, and optionally update the other syslog parameters to suit your needs. # if redis is installed and launched as a windows service, this will # automatically be enabled. syslog-enabled yes # specify the source name of the events in the windows application log. syslog-ident redis # set the number of databases. the default database is db 0, you can select # a different one on a per-connection basis using select <dbid> where # dbid is a number between 0 and 'databases'-1 databases 16 ################################ snapshotting ################################ # # save the db on disk: # # save <seconds> <changes> # # will save the db if both the given number of seconds and the given # number of write operations against the db occurred. # # in the example below the behaviour will be to save: # after 900 sec (15 min) if at least 1 key changed # after 300 sec (5 min) if at least 10 keys changed # after 60 sec if at least 10000 keys changed # # note: you can disable saving completely by commenting out all "save" lines. # # it is also possible to remove all the previously configured save # points by adding a save directive with a single empty string argument # like in the following example: # # save "" save 900 1 save 300 10 save 60 10000 # by default redis will stop accepting writes if rdb snapshots are enabled # (at least one save point) and the latest background save failed. # this will make the user aware (in a hard way) that data is not persisting # on disk properly, otherwise chances are that no one will notice and some # disaster will happen. # # if the background saving process will start working again redis will # automatically allow writes again. # # however if you have setup your proper monitoring of the redis server # and persistence, you may want to disable this feature so that redis will # continue to work as usual even if there are problems with disk, # permissions, and so forth. stop-writes-on-bgsave-error yes # compress string objects using lzf when dump .rdb databases? # for default that's set to 'yes' as it's almost always a win. # if you want to save some cpu in the saving child set it to 'no' but # the dataset will likely be bigger if you have compressible values or keys. rdbcompression yes # since version 5 of rdb a crc64 checksum is placed at the end of the file. # this makes the format more resistant to corruption but there is a performance # hit to pay (around 10%) when saving and loading rdb files, so you can disable it # for maximum performances. # # rdb files created with checksum disabled have a checksum of zero that will # tell the loading code to skip the check. rdbchecksum yes # the filename where to dump the db dbfilename dump.rdb # the working directory. # # the db will be written inside this directory, with the filename specified # above using the 'dbfilename' configuration directive. # # the append only file will also be created inside this directory. # # note that you must specify a directory here, not a file name. dir ./ ################################# replication ################################# # master-slave replication. use slaveof to make a redis instance a copy of # another redis server. a few things to understand asap about redis replication. # # 1) redis replication is asynchronous, but you can configure a master to # stop accepting writes if it appears to be not connected with at least # a given number of slaves. # 2) redis slaves are able to perform a partial resynchronization with the # master if the replication link is lost for a relatively small amount of # time. you may want to configure the replication backlog size (see the next # sections of this file) with a sensible value depending on your needs. # 3) replication is automatic and does not need user intervention. after a # network partition slaves automatically try to reconnect to masters # and resynchronize with them. # # slaveof <masterip> <masterport> # if the master is password protected (using the "requirepass" configuration # directive below) it is possible to tell the slave to authenticate before # starting the replication synchronization process, otherwise the master will # refuse the slave request. # # masterauth <master-password> # when a slave loses its connection with the master, or when the replication # is still in progress, the slave can act in two different ways: # # 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will # still reply to client requests, possibly with out of date data, or the # data set may just be empty if this is the first synchronization. # # 2) if slave-serve-stale-data is set to 'no' the slave will reply with # an error "sync with master in progress" to all the kind of commands # but to info and slaveof. # slave-serve-stale-data yes # you can configure a slave instance to accept writes or not. writing against # a slave instance may be useful to store some ephemeral data (because data # written on a slave will be easily deleted after resync with the master) but # may also cause problems if clients are writing to it because of a # misconfiguration. # # since redis 2.6 by default slaves are read-only. # # note: read only slaves are not designed to be exposed to untrusted clients # on the internet. it's just a protection layer against misuse of the instance. # still a read only slave exports by default all the administrative commands # such as config, debug, and so forth. to a limited extent you can improve # security of read only slaves using 'rename-command' to shadow all the # administrative / dangerous commands. slave-read-only yes # replication sync strategy: disk or socket. # # ------------------------------------------------------- # warning: diskless replication is experimental currently # ------------------------------------------------------- # # new slaves and reconnecting slaves that are not able to continue the replication # process just receiving differences, need to do what is called a "full # synchronization". an rdb file is transmitted from the master to the slaves. # the transmission can happen in two different ways: # # 1) disk-backed: the redis master creates a new process that writes the rdb # file on disk. later the file is transferred by the parent # process to the slaves incrementally. # 2) diskless: the redis master creates a new process that directly writes the # rdb file to slave sockets, without touching the disk at all. # # with disk-backed replication, while the rdb file is generated, more slaves # can be queued and served with the rdb file as soon as the current child producing # the rdb file finishes its work. with diskless replication instead once # the transfer starts, new slaves arriving will be queued and a new transfer # will start when the current one terminates. # # when diskless replication is used, the master waits a configurable amount of # time (in seconds) before starting the transfer in the hope that multiple slaves # will arrive and the transfer can be parallelized. # # with slow disks and fast (large bandwidth) networks, diskless replication # works better. repl-diskless-sync no # when diskless replication is enabled, it is possible to configure the delay # the server waits in order to spawn the child that transfers the rdb via socket # to the slaves. # # this is important since once the transfer starts, it is not possible to serve # new slaves arriving, that will be queued for the next rdb transfer, so the server # waits a delay in order to let more slaves arrive. # # the delay is specified in seconds, and by default is 5 seconds. to disable # it entirely just set it to 0 seconds and the transfer will start asap. repl-diskless-sync-delay 5 # slaves send pings to server in a predefined interval. it's possible to change # this interval with the repl_ping_slave_period option. the default value is 10 # seconds. # # repl-ping-slave-period 10 # the following option sets the replication timeout for: # # 1) bulk transfer i/o during sync, from the point of view of slave. # 2) master timeout from the point of view of slaves (data, pings). # 3) slave timeout from the point of view of masters (replconf ack pings). # # it is important to make sure that this value is greater than the value # specified for repl-ping-slave-period otherwise a timeout will be detected # every time there is low traffic between the master and the slave. # # repl-timeout 60 # disable tcp_nodelay on the slave socket after sync? # # if you select "yes" redis will use a smaller number of tcp packets and # less bandwidth to send data to slaves. but this can add a delay for # the data to appear on the slave side, up to 40 milliseconds with # linux kernels using a default configuration. # # if you select "no" the delay for data to appear on the slave side will # be reduced but more bandwidth will be used for replication. # # by default we optimize for low latency, but in very high traffic conditions # or when the master and slaves are many hops away, turning this to "yes" may # be a good idea. repl-disable-tcp-nodelay no # set the replication backlog size. the backlog is a buffer that accumulates # slave data when slaves are disconnected for some time, so that when a slave # wants to reconnect again, often a full resync is not needed, but a partial # resync is enough, just passing the portion of data the slave missed while # disconnected. # # the bigger the replication backlog, the longer the time the slave can be # disconnected and later be able to perform a partial resynchronization. # # the backlog is only allocated once there is at least a slave connected. # # repl-backlog-size 1mb # after a master has no longer connected slaves for some time, the backlog # will be freed. the following option configures the amount of seconds that # need to elapse, starting from the time the last slave disconnected, for # the backlog buffer to be freed. # # a value of 0 means to never release the backlog. # # repl-backlog-ttl 3600 # the slave priority is an integer number published by redis in the info output. # it is used by redis sentinel in order to select a slave to promote into a # master if the master is no longer working correctly. # # a slave with a low priority number is considered better for promotion, so # for instance if there are three slaves with priority 10, 100, 25 sentinel will # pick the one with priority 10, that is the lowest. # # however a special priority of 0 marks the slave as not able to perform the # role of master, so a slave with priority of 0 will never be selected by # redis sentinel for promotion. # # by default the priority is 100. slave-priority 100 # it is possible for a master to stop accepting writes if there are less than # n slaves connected, having a lag less or equal than m seconds. # # the n slaves need to be in "online" state. # # the lag in seconds, that must be <= the specified value, is calculated from # the last ping received from the slave, that is usually sent every second. # # this option does not guarantee that n replicas will accept the write, but # will limit the window of exposure for lost writes in case not enough slaves # are available, to the specified number of seconds. # # for example to require at least 3 slaves with a lag <= 10 seconds use: # # min-slaves-to-write 3 # min-slaves-max-lag 10 # # setting one or the other to 0 disables the feature. # # by default min-slaves-to-write is set to 0 (feature disabled) and # min-slaves-max-lag is set to 10. ################################## 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 123456 # command renaming. # # it is possible to change the name of dangerous commands in a shared # environment. for instance the config command may be renamed into something # hard to guess so that it will still be available for internal-use tools # but not available for general clients. # # example: # # rename-command config b840fc02d524045429941cc15f59e41cb7be6c52 # # it is also possible to completely kill a command by renaming it into # an empty string: # # rename-command config "" # # please note that changing the name of commands that are logged into the # aof file or transmitted to slaves may cause problems. ################################### limits #################################### # 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 # if redis is to be used as an in-memory-only cache without any kind of # persistence, then the fork() mechanism used by the background aof/rdb # persistence is unnecessary. as an optimization, all persistence can be # turned off in the windows version of redis. this will redirect heap # allocations to the system heap allocator, and disable commands that would # otherwise cause fork() operations: bgsave and bgrewriteaof. # this flag may not be combined with any of the other flags that configure # aof and rdb operations. # persistence-available [(yes)|no] # don't use more memory than the specified amount of bytes. # when the memory limit is reached redis will try to remove keys # according to the eviction policy selected (see maxmemory-policy). # # if redis can't remove keys according to the policy, or if the policy is # set to 'noeviction', redis will start to reply with errors to commands # that would use more memory, like set, lpush, and so on, and will continue # to reply to read-only commands like get. # # this option is usually useful when using redis as an lru cache, or to set # a hard memory limit for an instance (using the 'noeviction' policy). # # warning: if you have slaves attached to an instance with maxmemory on, # the size of the output buffers needed to feed the slaves are subtracted # from the used memory count, so that network problems / resyncs will # not trigger a loop where keys are evicted, and in turn the output # buffer of slaves is full with dels of keys evicted triggering the deletion # of more keys, and so forth until the database is completely emptied. # # in short... if you have slaves attached it is suggested that you set a lower # limit for maxmemory so that there is some free ram on the system for slave # output buffers (but this is not needed if the policy is 'noeviction'). # # warning: not setting maxmemory will cause redis to terminate with an # out-of-memory exception if the heap limit is reached. # # note: since redis uses the system paging file to allocate the heap memory, # the working set memory usage showed by the windows task manager or by other # tools such as processexplorer will not always be accurate. for example, right # after a background save of the rdb or the aof files, the working set value # may drop significantly. in order to check the correct amount of memory used # by the redis-server to store the data, use the info client command. the info # command shows only the memory used to store the redis data, not the extra # memory used by the windows process for its own requirements. th3 extra amount # of memory not reported by the info command can be calculated subtracting the # peak working set reported by the windows task manager and the used_memory_peak # reported by the info command. # maxmemory 100mb # maxmemory policy: how redis will select what to remove when maxmemory # is reached. you can select among five behaviors: # # volatile-lru -> remove the key with an expire set using an lru algorithm # allkeys-lru -> remove any key according to the lru algorithm # volatile-random -> remove a random key with an expire set # allkeys-random -> remove a random key, any key # volatile-ttl -> remove the key with the nearest expire time (minor ttl) # noeviction -> don't expire at all, just return an error on write operations # # note: with any of the above policies, redis will return an error on write # operations, when there are no suitable keys for eviction. # # at the date of writing these commands are: set setnx setex append # incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd # sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby # zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby # getset mset msetnx exec sort # # the default is: # # maxmemory-policy noeviction # lru and minimal ttl algorithms are not precise algorithms but approximated # algorithms (in order to save memory), so you can select as well the sample # size to check. for instance for default redis will check three keys and # pick the one that was used less recently, you can change the sample size # using the following configuration directive. # # maxmemory-samples 3 ############################## append only mode ############################### # by default redis asynchronously dumps the dataset on disk. this mode is # good enough in many applications, but an issue with the redis process or # a power outage may result into a few minutes of writes lost (depending on # the configured save points). # # the append only file is an alternative persistence mode that provides # much better durability. for instance using the default data fsync policy # (see later in the config file) redis can lose just one second of writes in a # dramatic event like a server power outage, or a single write if something # wrong with the redis process itself happens, but the operating system is # still running correctly. # # aof and rdb persistence can be enabled at the same time without problems. # if the aof is enabled on startup redis will load the aof, that is the file # with the better durability guarantees. # # please check http://redis.io/topics/persistence for more information. appendonly no # the name of the append only file (default: "appendonly.aof") appendfilename "appendonly.aof" # the fsync() call tells the operating system to actually write data on disk # instead of waiting for more data in the output buffer. some os will really flush # data on disk, some other os will just try to do it asap. # # redis supports three different modes: # # no: don't fsync, just let the os flush the data when it wants. faster. # always: fsync after every write to the append only log . slow, safest. # everysec: fsync only one time every second. compromise. # # the default is "everysec", as that's usually the right compromise between # speed and data safety. it's up to you to understand if you can relax this to # "no" that will let the operating system flush the output buffer when # it wants, for better performances (but if you can live with the idea of # some data loss consider the default persistence mode that's snapshotting), # or on the contrary, use "always" that's very slow but a bit safer than # everysec. # # more details please check the following article: # http://antirez.com/post/redis-persistence-demystified.html # # if unsure, use "everysec". # appendfsync always appendfsync everysec # appendfsync no # when the aof fsync policy is set to always or everysec, and a background # saving process (a background save or aof log background rewriting) is # performing a lot of i/o against the disk, in some linux configurations # redis may block too long on the fsync() call. note that there is no fix for # this currently, as even performing fsync in a different thread will block # our synchronous write(2) call. # # in order to mitigate this problem it's possible to use the following option # that will prevent fsync() from being called in the main process while a # bgsave or bgrewriteaof is in progress. # # this means that while another child is saving, the durability of redis is # the same as "appendfsync none". in practical terms, this means that it is # possible to lose up to 30 seconds of log in the worst scenario (with the # default linux settings). # # if you have latency problems turn this to "yes". otherwise leave it as # "no" that is the safest pick from the point of view of durability. no-appendfsync-on-rewrite no # automatic rewrite of the append only file. # redis is able to automatically rewrite the log file implicitly calling # bgrewriteaof when the aof log size grows by the specified percentage. # # this is how it works: redis remembers the size of the aof file after the # latest rewrite (if no rewrite has happened since the restart, the size of # the aof at startup is used). # # this base size is compared to the current size. if the current size is # bigger than the specified percentage, the rewrite is triggered. also # you need to specify a minimal size for the aof file to be rewritten, this # is useful to avoid rewriting the aof file even if the percentage increase # is reached but it is still pretty small. # # specify a percentage of zero in order to disable the automatic aof # rewrite feature. auto-aof-rewrite-percentage 100 auto-aof-rewrite-min-size 64mb # an aof file may be found to be truncated at the end during the redis # startup process, when the aof data gets loaded back into memory. # this may happen when the system where redis is running # crashes, especially when an ext4 filesystem is mounted without the # data=ordered option (however this can't happen when redis itself # crashes or aborts but the operating system still works correctly). # # redis can either exit with an error when this happens, or load as much # data as possible (the default now) and start if the aof file is found # to be truncated at the end. the following option controls this behavior. # # if aof-load-truncated is set to yes, a truncated aof file is loaded and # the redis server starts emitting a log to inform the user of the event. # otherwise if the option is set to no, the server aborts with an error # and refuses to start. when the option is set to no, the user requires # to fix the aof file using the "redis-check-aof" utility before to restart # the server. # # note that if the aof file will be found to be corrupted in the middle # the server will still exit with an error. this option only applies when # redis will try to read more data from the aof file but not enough bytes # will be found. aof-load-truncated yes ################################ lua scripting ############################### # max execution time of a lua script in milliseconds. # # if the maximum execution time is reached redis will log that a script is # still in execution after the maximum allowed time and will start to # reply to queries with an error. # # when a long running script exceeds the maximum execution time only the # script kill and shutdown nosave commands are available. the first can be # used to stop a script that did not yet called write commands. the second # is the only way to shut down the server in the case a write command was # already issued by the script but the user doesn't want to wait for the natural # termination of the script. # # set it to 0 or a negative value for unlimited execution without warnings. lua-time-limit 5000 ################################ redis cluster ############################### # # ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ # warning experimental: redis cluster is considered to be stable code, however # in order to mark it as "mature" we need to wait for a non trivial percentage # of users to deploy it in production. # ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ # # normal redis instances can't be part of a redis cluster; only nodes that are # started as cluster nodes can. in order to start a redis instance as a # cluster node enable the cluster support uncommenting the following: # # cluster-enabled yes # every cluster node has a cluster configuration file. this file is not # intended to be edited by hand. it is created and updated by redis nodes. # every redis cluster node requires a different cluster configuration file. # make sure that instances running in the same system do not have # overlapping cluster configuration file names. # # cluster-config-file nodes-6379.conf # cluster node timeout is the amount of milliseconds a node must be unreachable # for it to be considered in failure state. # most other internal time limits are multiple of the node timeout. # # cluster-node-timeout 15000 # a slave of a failing master will avoid to start a failover if its data # looks too old. # # there is no simple way for a slave to actually have a exact measure of # its "data age", so the following two checks are performed: # # 1) if there are multiple slaves able to failover, they exchange messages # in order to try to give an advantage to the slave with the best # replication offset (more data from the master processed). # slaves will try to get their rank by offset, and apply to the start # of the failover a delay proportional to their rank. # # 2) every single slave computes the time of the last interaction with # its master. this can be the last ping or command received (if the master # is still in the "connected" state), or the time that elapsed since the # disconnection with the master (if the replication link is currently down). # if the last interaction is too old, the slave will not try to failover # at all. # # the point "2" can be tuned by user. specifically a slave will not perform # the failover if, since the last interaction with the master, the time # elapsed is greater than: # # (node-timeout * slave-validity-factor) + repl-ping-slave-period # # so for example if node-timeout is 30 seconds, and the slave-validity-factor # is 10, and assuming a default repl-ping-slave-period of 10 seconds, the # slave will not try to failover if it was not able to talk with the master # for longer than 310 seconds. # # a large slave-validity-factor may allow slaves with too old data to failover # a master, while a too small value may prevent the cluster from being able to # elect a slave at all. # # for maximum availability, it is possible to set the slave-validity-factor # to a value of 0, which means, that slaves will always try to failover the # master regardless of the last time they interacted with the master. # (however they'll always try to apply a delay proportional to their # offset rank). # # zero is the only value able to guarantee that when all the partitions heal # the cluster will always be able to continue. # # cluster-slave-validity-factor 10 # cluster slaves are able to migrate to orphaned masters, that are masters # that are left without working slaves. this improves the cluster ability # to resist to failures as otherwise an orphaned master can't be failed over # in case of failure if it has no working slaves. # # slaves migrate to orphaned masters only if there are still at least a # given number of other working slaves for their old master. this number # is the "migration barrier". a migration barrier of 1 means that a slave # will migrate only if there is at least 1 other working slave for its master # and so forth. it usually reflects the number of slaves you want for every # master in your cluster. # # default is 1 (slaves migrate only if their masters remain with at least # one slave). to disable migration just set it to a very large value. # a value of 0 can be set but is useful only for debugging and dangerous # in production. # # cluster-migration-barrier 1 # by default redis cluster nodes stop accepting queries if they detect there # is at least an hash slot uncovered (no available node is serving it). # this way if the cluster is partially down (for example a range of hash slots # are no longer covered) all the cluster becomes, eventually, unavailable. # it automatically returns available as soon as all the slots are covered again. # # however sometimes you want the subset of the cluster which is working, # to continue to accept queries for the part of the key space that is still # covered. in order to do so, just set the cluster-require-full-coverage # option to no. # # cluster-require-full-coverage yes # in order to setup your cluster make sure to read the documentation # available at http://redis.io web site. ################################## slow log ################################### # the redis slow log is a system to log queries that exceeded a specified # execution time. the execution time does not include the i/o operations # like talking with the client, sending the reply and so forth, # but just the time needed to actually execute the command (this is the only # stage of command execution where the thread is blocked and can not serve # other requests in the meantime). # # you can configure the slow log with two parameters: one tells redis # what is the execution time, in microseconds, to exceed in order for the # command to get logged, and the other parameter is the length of the # slow log. when a new command is logged the oldest one is removed from the # queue of logged commands. # the following time is expressed in microseconds, so 1000000 is equivalent # to one second. note that a negative number disables the slow log, while # a value of zero forces the logging of every command. slowlog-log-slower-than 10000 # there is no limit to this length. just be aware that it will consume memory. # you can reclaim memory used by the slow log with slowlog reset. slowlog-max-len 128 ################################ latency monitor ############################## # the redis latency monitoring subsystem samples different operations # at runtime in order to collect data related to possible sources of # latency of a redis instance. # # via the latency command this information is available to the user that can # print graphs and obtain reports. # # the system only logs operations that were performed in a time equal or # greater than the amount of milliseconds specified via the # latency-monitor-threshold configuration directive. when its value is set # to zero, the latency monitor is turned off. # # by default latency monitoring is disabled since it is mostly not needed # if you don't have latency issues, and collecting data has a performance # impact, that while very small, can be measured under big load. latency # monitoring can easily be enabled at runtime using the command # "config set latency-monitor-threshold <milliseconds>" if needed. latency-monitor-threshold 0 ############################# event notification ############################## # redis can notify pub/sub clients about events happening in the key space. # this feature is documented at http://redis.io/topics/notifications # # for instance if keyspace events notification is enabled, and a client # performs a del operation on key "foo" stored in the database 0, two # messages will be published via pub/sub: # # publish __keyspace@0__:foo del # publish __keyevent@0__:del foo # # it is possible to select the events that redis will notify among a set # of classes. every class is identified by a single character: # # k keyspace events, published with __keyspace@<db>__ prefix. # e keyevent events, published with __keyevent@<db>__ prefix. # g generic commands (non-type specific) like del, expire, rename, ... # $ string commands # l list commands # s set commands # h hash commands # z sorted set commands # x expired events (events generated every time a key expires) # e evicted events (events generated when a key is evicted for maxmemory) # a alias for g$lshzxe, so that the "ake" string means all the events. # # the "notify-keyspace-events" takes as argument a string that is composed # of zero or multiple characters. the empty string means that notifications # are disabled. # # example: to enable list and generic events, from the point of view of the # event name, use: # # notify-keyspace-events elg # # example 2: to get the stream of the expired keys subscribing to channel # name __keyevent@0__:expired use: # # notify-keyspace-events ex # # by default all notifications are disabled because most users don't need # this feature and the feature has some overhead. note that if you don't # specify at least one of k or e, no events will be delivered. notify-keyspace-events "" ############################### 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 # similarly to hashes, small lists are also encoded in a special way in order # to save a lot of space. the special representation is only used when # you are under the following limits: list-max-ziplist-entries 512 list-max-ziplist-value 64 # sets have a special encoding in just one case: when a set is composed # of just strings that happen to be integers in radix 10 in the range # of 64 bit signed integers. # the following configuration setting sets the limit in the size of the # set in order to use this special memory saving encoding. set-max-intset-entries 512 # similarly to hashes and lists, sorted sets are also specially encoded in # order to save a lot of space. this encoding is only used when the length and # elements of a sorted set are below the following limits: zset-max-ziplist-entries 128 zset-max-ziplist-value 64 # hyperloglog sparse representation bytes limit. the limit includes the # 16 bytes header. when an hyperloglog using the sparse representation crosses # this limit, it is converted into the dense representation. # # a value greater than 16000 is totally useless, since at that point the # dense representation is more memory efficient. # # the suggested value is ~ 3000 in order to have the benefits of # the space efficient encoding without slowing down too much pfadd, # which is o(n) with the sparse encoding. the value can be raised to # ~ 10000 when cpu is not a concern, but space is, and the data set is # composed of many hyperloglogs with cardinality in the 0 - 15000 range. hll-sparse-max-bytes 3000 # active rehashing uses 1 millisecond every 100 milliseconds of cpu time in # order to help rehashing the main redis hash table (the one mapping top-level # keys to values). the hash table implementation redis uses (see dict.c) # performs a lazy rehashing: the more operation you run into a hash table # that is rehashing, the more rehashing "steps" are performed, so if the # server is idle the rehashing is never complete and some more memory is used # by the hash table. # # the default is to use this millisecond 10 times every second in order to # actively rehash the main dictionaries, freeing memory when possible. # # if unsure: # use "activerehashing no" if you have hard latency requirements and it is # not a good thing in your environment that redis can reply from time to time # to queries with 2 milliseconds delay. # # use "activerehashing yes" if you don't have such hard requirements but # want to free memory asap when possible. activerehashing yes # the client output buffer limits can be used to force disconnection of clients # that are not reading data from the server fast enough for some reason (a # common reason is that a pub/sub client can't consume messages as fast as the # publisher can produce them). # # the limit can be set differently for the three different classes of clients: # # normal -> normal clients including monitor clients # slave -> slave clients # pubsub -> clients subscribed to at least one pubsub channel or pattern # # the syntax of every client-output-buffer-limit directive is the following: # # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds> # # a client is immediately disconnected once the hard limit is reached, or if # the soft limit is reached and remains reached for the specified number of # seconds (continuously). # so for instance if the hard limit is 32 megabytes and the soft limit is # 16 megabytes / 10 seconds, the client will get disconnected immediately # if the size of the output buffers reach 32 megabytes, but will also get # disconnected if the client reaches 16 megabytes and continuously overcomes # the limit for 10 seconds. # # by default normal clients are not limited because they don't receive data # without asking (in a push way), but just after a request, so only # asynchronous clients may create a scenario where data is requested faster # than it can read. # # instead there is a default limit for pubsub and slave clients, since # subscribers and slaves receive data in a push fashion. # # both the hard or the soft limit can be disabled by setting them to zero. client-output-buffer-limit normal 0 0 0 client-output-buffer-limit slave 256mb 64mb 60 client-output-buffer-limit pubsub 32mb 8mb 60 # redis calls an internal function to perform many background tasks, like # closing connections of clients in timeot, purging expired keys that are # never requested, and so forth. # # not all tasks are perforemd with the same frequency, but redis checks for # tasks to perform according to the specified "hz" value. # # by default "hz" is set to 10. raising the value will use more cpu when # redis is idle, but at the same time will make redis more responsive when # there are many keys expiring at the same time, and timeouts may be # handled with more precision. # # the range is between 1 and 500, however a value over 100 is usually not # a good idea. most users should use the default of 10 and raise this up to # 100 only in environments where very low latency is required. hz 10 # when a child rewrites the aof file, if the following option is enabled # the file will be fsync-ed every 32 mb of data generated. this is useful # in order to commit the file to the disk more incrementally and avoid # big latency spikes. aof-rewrite-incremental-fsync yes ################################## includes ################################### # include one or more other config files here. this is useful if you # have a standard template that goes to all redis server but also need # to customize a few per-server settings. include files can include # other files, so use this wisely. # # include /path/to/local.conf # include /path/to/other.conf
(1)允许远程访问
#1. 注释掉下面代码，或者改为 bind 0.0.0.0 #bind 127.0.0.1 #2. 关闭保护模式 protected-mode no #3. 开启密码(开启密码后，上面的保护模式可以不用关闭，远程也可以连接) requirepass 123456
还需保证端口开放或者防火墙关闭
腾讯云开放6379端口:
然后重启redis服务,在本地通过ip地址和port进行访问:可成功访问
(2). redis cluster配置
# 一. 允许远程访问 #1. 注释掉下面代码，或者改为 bind 0.0.0.0 #bind 127.0.0.1 #2. 关闭保护模式 protected-mode no #二. 通用配置 #1. 开启守护进程 daemonize yes #2. 配置密码（必须设置相同的密码，不设masterauth的话宕机了不能自动恢复） requirepass 123456 masterauth 123456 #三.集群配置 port 6384 #配置端口 cluster-enabled yes #开启集群 cluster-config-file nodes-6384.conf #集群节点配置文件 pidfile /var/run/redis_6384.pid cluster-node-timeout 5000 #集群节点超时时间
(3). 数据持久化、缓存淘汰策略
#一. rdb存储 # 下面配置为默认配置，默认就是开启的，在一定的间隔时间中，检测key的变化情况，然后持久化数据 save 900 1 #900s后至少1个key发生变化则进行存储 save 300 10 #300s后至少10个key发生变化则进行存储 save 60 10000 #60s后至少10000个key发生变化则进行存储 #二. aop存储 #默认是关闭的，日志记录的方式，可以记录每一条命令的操作。可以每一次命令操作后，持久化数据，启用的话通常使用每隔一秒持久化一次的策略 appendonly no（默认no） --> appendonly yes （开启aof） # appendfsync always #每一次操作都进行持久化 appendfsync everysec #每隔一秒进行一次持久化 # appendfsync no # 不进行持久化
# - volatile-lru: 针对到期的键值，采取 lru 策略； # - volatile-lfu: 针对到期的键值，采取 lfu 策略； # - volatile-random: 针对到期的键值，采取随机策略； # - allkeys-lru: 针对所有键值，采取 lru 策略； # - allkeys-lfu: 针对所有键值，采取 lfu 策略； # - allkeys-random: 针对所有键值，采取随机策略； # - volatile-ttl: 删除最近到期的key（次要ttl） # - noeviction: 不清除任何内容，只是在写入操作时报错。 # # lru表示最近最少使用 # lfu意味着最少使用 # # lru，lfu和volatile-ttl都是使用近似随机算法实现的。 # # 默认值是：noeviction # # maxmemory-policy noeviction
常用配置汇总
#修改daemonize为yes，即默认以后台程序方式运行 daemonize yes #修改默认监听端口(一般用默认的) port 6379 #修改生成默认日志文件位置，默认为"" logfile "" #默认rdb存储方式的名称 dbfilename dump.rdb #rdb文件存放位置,默认为当前目录 dir ./ #开启aof存储，默认为no appendonly no #aof存储持久化文件的名称 appendfilename "appendonly.aof" #pid文件 pidfile /home/apps/redis/redis.pid #保护模式 protected-mode no #支持集群 cluster-enabled yes #密码 requirepass 123456 #集群相关密码 masterauth 123456 #缓存淘汰策略（默认不清除） maxmemory-policy noeviction
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