redis 数据库 （redis windows下的环境搭建）

redis windows下的环境搭建

先说下安装吧！感觉这东西跟mongodb差不多，安装和布置挺简单，
下载地址：https://github.com/dmajkic/redis/downloads 下载下来的包里有两个，
一个是32位的，一个是64位的。根据自己的实情情况选择，我的是32bit，
把这个文件夹复制到其它地方，比如D：\redis 目录下。
打开一个cmd窗口  使用cd命令切换目录到d:\redis  运行 redis-server.exe redis.conf  
如果想方便的话，可以把redis的路径加到系统的环境变量里，这样就省得再输路径了，后面的那个redis.conf可以省略，如果省略，会启用默认的。输入之后，会显示如下界面：

这时候别启一个cmd窗口，原来的不要关闭，不然就无法访问服务端了
切换到redis目录下运行 redis-cli.exe -h 127.0.0.1 -p 6379 出现下图：

这时候，就已经完成配置了，现在说下它的的redis.conf配置文件。下面是相关项的说明

后面的《-h 127.27.0.0.1 -p 6379》可以不加！

# 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  
Redis默认不是以守护进程的方式运行，可以通过该配置项修改，使用yes启用守护进程
 
# 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
当Redis以守护进程方式运行时，Redis默认会把pid写入/var/run/redis.pid文件，可以通过pidfile指定
# Accept connections on the specified port, default is 6379.
# If port 0 is specified Redis will not listen on a TCP socket.
port 6379
指定Redis监听端口，默认端口为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
绑定的主机地址
# 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
当 客户端闲置多长时间后关闭连接，如果指定为0，表示关闭该功能
# 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
指定日志记录级别，Redis总共支持四个级别：debug、verbose、notice、warning，默认为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/null
logfile stdout
日志记录方式，默认为标准输出，如果配置Redis为守护进程方式运行，而这里又配置为日志记录方式为标准输出，则日志将会发送给/dev/null
# 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
设置数据库的数量，默认数据库为0，可以使用SELECT <dbid>命令在连接上指定数据库id
################################ 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 at all commenting all the "save" lines.
 
save 900 1
save 300 10
save 60 10000
分别表示900秒（15分钟）内有1个更改，300秒（5分钟）内有10个更改以及60秒内有10000个更改。
指定在多长时间内，有多少次更新操作，就将数据同步到数据文件，可以多个条件配合
# 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
指定存储至本地数据库时是否压缩数据，默认为yes，Redis采用LZF压缩，如果为了节省CPU时间，可以关闭该选项，但会导致数据库文件变的巨大
# The filename where to dump the DB
dbfilename dump.rdb
指定本地数据库文件名，默认值为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 ./
指定本地数据库存放目录
################################# 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 <masterip> <masterport>
slaveof <masterip> <masterport> 设置当本机为slav服务时，设置master服务的IP地址及端口，在Redis启动时，它会自动从master进行数据同步
# 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>
masterauth <master-password> 当master服务设置了密码保护时，slav服务连接master的密码
# 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 <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
 requirepass foobared 设置Redis连接密码，如果配置了连接密码，客户端在连接Redis时需要通过AUTH <password>命令提供密码，默认关闭
# 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
maxclients 128 设置同一时间最大客户端连接数，默认无限制，Redis可以同时打开的客户端连接数为Redis进程可以打开的最大文件描述符数，如果设置 maxclients 0，表示不作限制。当客户端连接数到达限制时，Redis会关闭新的连接并向客户端返回max number of clients reached错误信息
# 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 <bytes>
 maxmemory <bytes>指定Redis最大内存限制，Redis在启动时会把数据加载到内存中，达到最大内存后，Redis会先尝试清除已到期或即将到期的Key，当此方法处理 后，仍然到达最大内存设置，将无法再进行写入操作，但仍然可以进行读取操作。Redis新的vm机制，会把Key存放内存，Value会存放在swap区
# 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
appendonly no指定是否在每次更新操作后进行日志记录，Redis在默认情况下是异步的把数据写入磁盘，如果不开启，可能会在断电时导致一段时间内的数据丢失。因为 redis本身同步数据文件是按上面save条件来同步的，所以有的数据会在一段时间内只存在于内存中。默认为no
# The name of the append only file (default: "appendonly.aof")
# appendfilename appendonly.aof
 appendfilename appendonly.aof指定更新日志文件名，默认为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 always
appendfsync everysec
# appendfsync no
指定更新日志条件，共有3个可选值：
no：表示等操作系统进行数据缓存同步到磁盘（快）
always：表示每次更新操作后手动调用fsync()将数据写到磁盘（慢，安全）
everysec：表示每秒同步一次（折衷，默认值）
# 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 100
auto-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
指定是否启用虚拟内存机制，默认值为no，简单的介绍一下，VM机制将数据分页存放，由Redis将访问量较少的页即冷数据swap到磁盘上，访问多的页面由磁盘自动换出到内存中（在后面的文章我会仔细分析Redis的VM机制）
# 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
虚拟内存文件路径，默认值为/tmp/redis.swap，不可多个Redis实例共享
# 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
将所有大于vm-max-memory的数据存入虚拟内存,无论vm-max-memory设置多小,所有索引数据都是内存存储的(Redis的索引数据 就是keys),也就是说,当vm-max-memory设置为0的时候,其实是所有value都存在于磁盘。默认值为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
Redis swap文件分成了很多的page，一个对象可以保存在多个page上面，但一个page上不能被多个对象共享，vm-page-size是要根据存储的 数据大小来设定的，作者建议如果存储很多小对象，page大小最好设置为32或者64bytes；如果存储很大大对象，则可以使用更大的page，如果不 确定，就使用默认值
# 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
设置swap文件中的page数量，由于页表（一种表示页面空闲或使用的bitmap）是在放在内存中的，，在磁盘上每8个pages将消耗1byte的内存。
# 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
设置访问swap文件的线程数,最好不要超过机器的核数,如果设置为0,那么所有对swap文件的操作都是串行的，可能会造成比较长时间的延迟。默认值为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 512
hash-max-zipmap-value 64
指定在超过一定的数量或者最大的元素超过某一临界值时，采用一种特殊的哈希算法
# 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 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 128
zset-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
指定包含其它的配置文件，可以在同一主机上多个Redis实例之间使用同一份配置文件，而同时各个实例又拥有自己的特定配置文件

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下面是java操作redis的代码，走起

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    import org.junit.After;  
    import org.junit.Before;  
    import org.junit.Test;  
    import redis.clients.jedis.Jedis;  
    import redis.clients.jedis.JedisPool;  
    import redis.clients.jedis.JedisPoolConfig;  
      
    import javax.sound.midi.Soundbank;  
    import java.util.*;  
      
    /** 
     * @author: flychao88 
     * Time: 2012.5.7 16:23:15 
     */  
    public class RedisTest {  
        JedisPool pool;  
        Jedis jedis;  
        @Before  
        public void setUp() {  
            pool = new JedisPool(new JedisPoolConfig(), "172.16.100.184");  
      
            jedis = pool.getResource();  
            jedis.auth("password");  
        }  
      
        /** 
         * Redis存储初级的字符串 
         * CRUD 
         */  
        @Test  
        public void testBasicString(){  
            //-----添加数据----------  
            jedis.set("name","minxr");//向key-->name中放入了value-->minxr  
            System.out.println(jedis.get("name"));//执行结果：minxr  
      
            //-----修改数据-----------  
            //1、在原来基础上修改  
            jedis.append("name","jarorwar");   //很直观，类似map 将jarorwar append到已经有的value之后  
            System.out.println(jedis.get("name"));//执行结果:minxrjarorwar  
      
            //2、直接覆盖原来的数据  
            jedis.set("name","闵晓荣");  
            System.out.println(jedis.get("name"));//执行结果：闵晓荣  
      
            //删除key对应的记录  
            jedis.del("name");  
            System.out.println(jedis.get("name"));//执行结果：null  
      
            /** 
             * mset相当于 
             * jedis.set("name","minxr"); 
             * jedis.set("jarorwar","闵晓荣"); 
             */  
            jedis.mset("name","minxr","jarorwar","闵晓荣");  
            System.out.println(jedis.mget("name","jarorwar"));  
      
        }  
      
        /** 
         * jedis操作Map 
         */  
        @Test  
        public void testMap(){  
            Map<String,String> user=new HashMap<String,String>();  
            user.put("name","minxr");  
            user.put("pwd","password");  
            jedis.hmset("user",user);  
            //取出user中的name，执行结果:[minxr]-->注意结果是一个泛型的List  
            //第一个参数是存入redis中map对象的key，后面跟的是放入map中的对象的key，后面的key可以跟多个，是可变参数  
            List<String> rsmap = jedis.hmget("user", "name");  
            System.out.println(rsmap);  
      
            //删除map中的某个键值  
    //        jedis.hdel("user","pwd");  
            System.out.println(jedis.hmget("user", "pwd")); //因为删除了，所以返回的是null  
            System.out.println(jedis.hlen("user")); //返回key为user的键中存放的值的个数1  
            System.out.println(jedis.exists("user"));//是否存在key为user的记录 返回true  
            System.out.println(jedis.hkeys("user"));//返回map对象中的所有key  [pwd, name]  
            System.out.println(jedis.hvals("user"));//返回map对象中的所有value  [minxr, password]  
      
            Iterator<String> iter=jedis.hkeys("user").iterator();  
            while (iter.hasNext()){  
                String key = iter.next();  
                System.out.println(key+":"+jedis.hmget("user",key));  
            }  
      
        }  
      
        /** 
         * jedis操作List 
         */  
        @Test  
        public void testList(){  
            //开始前，先移除所有的内容  
            jedis.del("java framework");  
            System.out.println(jedis.lrange("java framework",0,-1));  
           //先向key java framework中存放三条数据  
           jedis.lpush("java framework","spring");  
           jedis.lpush("java framework","struts");  
           jedis.lpush("java framework","hibernate");  
           //再取出所有数据jedis.lrange是按范围取出，  
           // 第一个是key，第二个是起始位置，第三个是结束位置，jedis.llen获取长度 -1表示取得所有  
           System.out.println(jedis.lrange("java framework",0,-1));  
        }  
      
        /** 
         * jedis操作Set 
         */  
        @Test  
        public void testSet(){  
            //添加  
            jedis.sadd("sname","minxr");  
            jedis.sadd("sname","jarorwar");  
            jedis.sadd("sname","闵晓荣");  
            jedis.sadd("sanme","noname");  
            //移除noname  
            jedis.srem("sname","noname");  
            System.out.println(jedis.smembers("sname"));//获取所有加入的value  
            System.out.println(jedis.sismember("sname", "minxr"));//判断 minxr 是否是sname集合的元素  
            System.out.println(jedis.srandmember("sname"));  
            System.out.println(jedis.scard("sname"));//返回集合的元素个数  
        }  
      
        @Test  
        public void test() throws InterruptedException {  
            //keys中传入的可以用通配符  
            System.out.println(jedis.keys("*")); //返回当前库中所有的key  [sose, sanme, name, jarorwar, foo, sname, java framework, user, braand]  
            System.out.println(jedis.keys("*name"));//返回的sname   [sname, name]  
            System.out.println(jedis.del("sanmdde"));//删除key为sanmdde的对象  删除成功返回1 删除失败（或者不存在）返回 0  
            System.out.println(jedis.ttl("sname"));//返回给定key的有效时间，如果是-1则表示永远有效  
            jedis.setex("timekey", 10, "min");//通过此方法，可以指定key的存活（有效时间） 时间为秒  
            Thread.sleep(5000);//睡眠5秒后，剩余时间将为<=5  
            System.out.println(jedis.ttl("timekey"));   //输出结果为5  
            jedis.setex("timekey", 1, "min");        //设为1后，下面再看剩余时间就是1了  
            System.out.println(jedis.ttl("timekey"));  //输出结果为1  
            System.out.println(jedis.exists("key"));//检查key是否存在  
            System.out.println(jedis.rename("timekey","time"));  
            System.out.println(jedis.get("timekey"));//因为移除，返回为null  
            System.out.println(jedis.get("time")); //因为将timekey 重命名为time 所以可以取得值 min  
      
            //jedis 排序  
            //注意，此处的rpush和lpush是List的操作。是一个双向链表（但从表现来看的）  
            jedis.del("a");//先清除数据，再加入数据进行测试  
            jedis.rpush("a", "1");  
            jedis.lpush("a","6");  
            jedis.lpush("a","3");  
            jedis.lpush("a","9");  
            System.out.println(jedis.lrange("a",0,-1));// [9, 3, 6, 1]  
            System.out.println(jedis.sort("a")); //[1, 3, 6, 9]  //输入排序后结果  
            System.out.println(jedis.lrange("a",0,-1));  
      
        }  

 

备注：要下载Jedis.jar