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Windows下使用Redis緩存工具的圖文詳情

2020-02-17 14:55:11
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Redis是一個高性能的key-value數據庫,本文將以圖文并茂的形式給大家介紹Windows下使用Redis緩存工具的圖文詳情,通俗易懂的說明,希望能給大家帶來一定的幫助。

一、簡介

redis是一個key-value存儲系統。和Memcached類似,它支持存儲的value類型相對更多,包括string(字符串)、list(鏈表)、set(集合)和zset(有序集合)。

這些數據類型都支持push/pop、add/remove及取交集并集和差集及更豐富的操作,而且這些操作都是原子性的。在此基礎上,redis支持各種不同方式的排序。與memcached一樣,為了保證效率,數據都是緩存在內存中。區別的是redis會周期性的把更新的數據寫入磁盤或者把修改操作寫入追加的記錄文件,并且在此基礎上實現了master-slave(主從)同步。

Redis 是一個高性能的key-value數據庫。 redis的出現,很大程度補償了memcached這類key/value存儲的不足,在部 分場合可以對關系數據庫起到很好的補充作用。

二、下載redis

Redis 官網 :http://redis.io/

下載頁面:http://redis.io/download

官方文檔:http://redis.io/documentation

Windows 版本下載:https://github.com/dmajkic/redis/downloads

三、環境搭建

1. 放到磁盤里面。

2.根據操作系統 進入相應的目錄 ,啟動redis服務端 redis-server.exe redis.conf

3.根據操作系統 進入相應的目錄 ,啟動redis客戶端。

4. 測試redis緩存機制。

redis-cli.exe -h 127.0.0.1 -p 6379set keytest valuestestget keytest

5. 效果如下:

6. 測試調換順序調用的實例。

這個應用可以用在驗證碼的校驗用以及緩存。

第一個號碼 18276487300 發送了一個驗證碼”1234“,然后存到key-values 里面。

第二個號碼 18276487301 發送了一個驗證碼”2345“,然后存到key-values 里面。

但是第二個驗證碼先進行驗證,所以會先通過18276487301 來獲取驗證碼。

這樣就防止了一些驗證碼不知道對應哪個手機號碼了。

后面會根據java配置到項目中應用。

四、redis.conf 配置文件
根據操作系統 進入相應的目錄 ,會看到一個配置文件redis.conf。
配置文件的原文如下:

# Redis configuration file example# Note on units: when memory size is needed, it is possible to specifiy# 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.# 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# When running daemonized, Redis writes a pid file in /var/run/redis.pid by# default. You can specify a custom pid file location here.pidfile /var/run/redis.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# If you want you can bind a single interface, if the bind option is not# specified all the interfaces will listen for incoming connections.## bind 127.0.0.1# 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 755# Close the connection after a client is idle for N seconds (0 to disable)timeout 0# Set server verbosity to 'debug'# it 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 verbose# Specify the log file name. Also 'stdout' 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/nulllogfile stdout# 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  where# dbid is a number between 0 and 'databases'-1databases 16################################ SNAPSHOTTING ################################### Save the DB on disk:##  save ##  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 at all commenting all the "save" lines.save 900 1save 300 10save 60 10000# 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# The filename where to dump the DBdbfilename dump.rdb# The working directory.## The DB will be written inside this directory, with the filename specified# above using the 'dbfilename' configuration directive.# # Also the Append Only File will 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. Note that the configuration is local to the slave# so for example it is possible to configure the slave to save the DB with a# different interval, or to listen to another port, and so on.## slaveof # 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 # When a slave lost the 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 data 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# 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 a timeout for both Bulk transfer I/O timeout and# master data or ping response timeout. The default value is 60 seconds.## 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################################## SECURITY #################################### Require clients to issue AUTH  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 possilbe to change the name of dangerous commands in a shared# environment. For instance the CONFIG command may be renamed into something# of hard to guess so that it will be still available for internal-use# tools but not available for general clients.## Example:## rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52## It is also possilbe to completely kill a command renaming it into# an empty string:## rename-command CONFIG ""################################### LIMITS ##################################### Set the max number of connected clients at the same time. By default there# is no limit, and it's up to the number of file descriptors the Redis process# is able to open. The special value '0' means no limits.# Once the limit is reached Redis will close all the new connections sending# an error 'max number of clients reached'.## maxclients 128# Don't use more memory than the specified amount of bytes.# When the memory limit is reached Redis will try to remove keys with an# EXPIRE set. It will try to start freeing keys that are going to expire# in little time and preserve keys with a longer time to live.# Redis will also try to remove objects from free lists if possible.## If all this fails, Redis will start to reply with errors to commands# that will use more memory, like SET, LPUSH, and so on, and will continue# to reply to most read-only commands like GET.## WARNING: maxmemory can be a good idea mainly if you want to use Redis as a# 'state' server or cache, not as a real DB. When Redis is used as a real# database the memory usage will grow over the weeks, it will be obvious if# it is going to use too much memory in the long run, and you'll have the time# to upgrade. With maxmemory after the limit is reached you'll start to get# errors for write operations, and this may even lead to DB inconsistency.## maxmemory # MAXMEMORY POLICY: how Redis will select what to remove when maxmemory# is reached? You can select among five behavior:# # volatile-lru -> remove the key with an expire set using an LRU algorithm# allkeys-lru -> remove any key accordingly 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 all the kind of policies, Redis will return an error on write#    operations, when there are not suitable keys for eviction.##    At the date of writing this 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 volatile-lru# 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. If you can live# with the idea that the latest records will be lost if something like a crash# happens this is the preferred way to run Redis. If instead you care a lot# about your data and don't want to that a single record can get lost you should# enable the append only mode: when this mode is enabled Redis will append# every write operation received in the file appendonly.aof. This file will# be read on startup in order to rebuild the full dataset in memory.## Note that you can have both the async dumps and the append only file if you# like (you have to comment the "save" statements above to disable the dumps).# Still if append only mode is enabled Redis will load the data from the# log file at startup ignoring the dump.rdb file.## IMPORTANT: Check the BGREWRITEAOF to check how to rewrite the append# log file in background when it gets too big.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 to wait 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 if one second passed since the last fsync. Compromise.## The default is "everysec" 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 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.## If unsure, use "everysec".# appendfsync alwaysappendfsync 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", that in pratical terms means that it is# possible to lost 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 will growth by the specified percentage.# # This is how it works: Redis remembers the size of the AOF file after the# latest rewrite (or if no rewrite 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 precentage of zero in order to disable the automatic AOF# rewrite feature.auto-aof-rewrite-percentage 100auto-aof-rewrite-min-size 64mb################################## 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 1024################################ VIRTUAL MEMORY ################################## WARNING! Virtual Memory is deprecated in Redis 2.4### The use of Virtual Memory is strongly discouraged.### WARNING! Virtual Memory is deprecated in Redis 2.4### The use of Virtual Memory is strongly discouraged.# Virtual Memory allows Redis to work with datasets bigger than the actual# amount of RAM needed to hold the whole dataset in memory.# In order to do so very used keys are taken in memory while the other keys# are swapped into a swap file, similarly to what operating systems do# with memory pages.## To enable VM just set 'vm-enabled' to yes, and set the following three# VM parameters accordingly to your needs.vm-enabled no# vm-enabled yes# This is the path of the Redis swap file. As you can guess, swap files# can't be shared by different Redis instances, so make sure to use a swap# file for every redis process you are running. Redis will complain if the# swap file is already in use.## The best kind of storage for the Redis swap file (that's accessed at random) # is a Solid State Disk (SSD).## *** WARNING *** if you are using a shared hosting the default of putting# the swap file under /tmp is not secure. Create a dir with access granted# only to Redis user and configure Redis to create the swap file there.vm-swap-file /tmp/redis.swap# vm-max-memory configures the VM to use at max the specified amount of# RAM. Everything that deos not fit will be swapped on disk *if* possible, that# is, if there is still enough contiguous space in the swap file.## With vm-max-memory 0 the system will swap everything it can. Not a good# default, just specify the max amount of RAM you can in bytes, but it's# better to leave some margin. For instance specify an amount of RAM# that's more or less between 60 and 80% of your free RAM.vm-max-memory 0# Redis swap files is split into pages. An object can be saved using multiple# contiguous pages, but pages can't be shared between different objects.# So if your page is too big, small objects swapped out on disk will waste# a lot of space. If you page is too small, there is less space in the swap# file (assuming you configured the same number of total swap file pages).## If you use a lot of small objects, use a page size of 64 or 32 bytes.# If you use a lot of big objects, use a bigger page size.# If unsure, use the default :)vm-page-size 32# Number of total memory pages in the swap file.# Given that the page table (a bitmap of free/used pages) is taken in memory,# every 8 pages on disk will consume 1 byte of RAM.## The total swap size is vm-page-size * vm-pages## With the default of 32-bytes memory pages and 134217728 pages Redis will# use a 4 GB swap file, that will use 16 MB of RAM for the page table.## It's better to use the smallest acceptable value for your application,# but the default is large in order to work in most conditions.vm-pages 134217728# Max number of VM I/O threads running at the same time.# This threads are used to read/write data from/to swap file, since they# also encode and decode objects from disk to memory or the reverse, a bigger# number of threads can help with big objects even if they can't help with# I/O itself as the physical device may not be able to couple with many# reads/writes operations at the same time.## The special value of 0 turn off threaded I/O and enables the blocking# Virtual Memory implementation.vm-max-threads 4############################### ADVANCED CONFIG ################################ Hashes are encoded in a special way (much more memory efficient) when they# have at max a given numer of elements, and the biggest element does not# exceed a given threshold. You can configure this limits with the following# configuration directives.hash-max-zipmap-entries 512hash-max-zipmap-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 512list-max-ziplist-value 64# Sets have a special encoding in just one case: when a set is composed# of just strings that happens 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 128zset-max-ziplist-value 64# 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 an hash table# that is rhashing, 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# active rehashing 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 form 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################################## 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

解析過的配置文件:

#是否以后臺守護進程運行,默認為no, 取值yes, no daemonize no          #pid文件存放路徑pidfile /var/run/redis.pid  #配置redis端口,默認6379port 6379          #綁定ip。默認綁定所有本機ip,一般用在服務器多ip下,可以只監聽內網服務器ip,保證服務安全bind 127.0.0.1       #sock文件 unixsocket /tmp/redis.sock #客戶端超時時間,單位秒 timeout 300        #log級別,支持四個級別,debug,notice,verbose,warning loglevel verbose      #log文件路徑logfile          #log輸出到標準設備,logs不寫文件,輸出到空設備,/deb/nulllogfile stdout        #保存快照的頻率,在多長時間內執行一定數量的寫操作時,保存快照的頻率,可以設置多個條件。如果都注釋掉,則不做內存數據持久化。如果只是把redis只用作cache,不開啟持久化功能save  save 900 1 #是否使用壓縮rdbcompression      #快照數據庫名稱 dbfilename        #數據庫存放路徑 dir            #redis主從 做法 在從上填上主的IP和端口號 主上不用做任何設置slaveof   #主庫服務器口令,如果主服務器未打開requirepass,則不需要此項masterauth    #在master服務器掛掉或者同步失敗時,從服務器是否繼續提供服務slave-serve-stale-data yes     #設置redis服務密碼,如果開啟,則客戶端連接時需要 -a 指定密碼,否則操作會提示無權限requirepass foobared        #命令改名,相當于linux alias,可以用改功能屏蔽一些危險命令rename-command          #最大連接數;0 表示不限制maxclients 128          #最大使用內存(分配的內存),推薦生產環境下做相應調整,我們用的是只用來做高速緩存,限制2G。默認情況下,redis會占用可用的所有內存maxmemory         #過期策略,提供六種策略 maxmemory-policy volatile-lru  volatile-lru  //刪除過期和lru 的key(默認值) allkeys-lru   //刪除lru算法的key volatile-random //隨機刪除即將過期key allkeys->random //隨機刪除 volatile-ttl  //刪除即將過期的 noeviction   //永不過期,返回錯誤 #是否開啟appendonlylog,開啟的話每次寫操作會記一條log。相當于mysql的binlog;不同的是,每次redis啟動都會讀此文件構建完整數據。即使刪除rdb文件,數據也是安全的 appendonly  #日志文件的名稱,默認appendonly.aofappendfilename appendonly.aof  #異步寫append file 的策略。類似mysql事物log寫方式。三種appendfsync            appendfsync always        //同步,每次寫都要flush到磁盤,安全,速度慢。 appendfsync everysec       //每秒寫(默認值,推薦值)同mysql appendfsync no          //交給操作系統去做flush的動作 #虛擬內存開關 vm-enabled no        #swap文件,不同redis swap文件不能共享。而且生產環境下,不建議放在tmp目錄vm-swap-file /tmp/redis.swap   #vm大小限制。0:不限制,建議60-80% 可用內存大小vm-max-memory 0         #根據緩存內容大小調整,默認32字節vm-page-size 32        #page數。每 8 page,會占用1字節內存。vm-page-size * vm-pages 等于 swap 文件大小vm-pages 134217728       #vm 最大io線程數。注意: 0 標志禁止使用vm vm-max-threads 4  

以上就是Windows下使用Redis緩存工具的圖文詳情,希望對大家的學習有所幫助,更多精彩內容,盡在武林技術頻道。

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