_00011 Redis 安装以及快速入门之一(Redis安装)

博文作者：妳那伊抹微笑

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技术方向：Flume+Kafka+Storm+Redis/Hbase+Hadoop+Hive+Mahout+Spark ... 云计算技术

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（期待与你一起学习，共同进步）

# Redis

# Redis简介

redis是一个key-value存储系统。和Memcached类似，它支持存储的value类型相对更多，包括string(字符串)、list(链表)、set(集合)、zset(sorted
set --有序集合)和hash（哈希类型）。这些数据类型都支持push/pop、add/remove及取交集并集和差集及更丰富的操作，而且这些操作都是原子性的。在此基础上，redis支持各种不同方式的排序。与memcached一样，为了保证效率，数据都是缓存在内存中。区别的是redis会周期性的把更新的数据写入磁盘或者把修改操作写入追加的记录文件，并且在此基础上实现了master-slave(主从)同步。
Redis 是一个高性能的key-value数据库。 redis的出现，很大程度补偿了memcached这类key/value存储的不足，在部分场合可以对关系数据库起到很好的补充作用。它提供了Python，Ruby，Erlang，PHP客户端，使用很方便。
Redis支持主从同步。数据可以从主服务器向任意数量的从服务器上同步，从服务器可以是关联其他从服务器的主服务器。这使得Redis可执行单层树复制。从盘可以有意无意的对数据进行写操作。由于完全实现了发布/订阅机制，使得从数据库在任何地方同步树时，可订阅一个频道并接收主服务器完整的消息发布记录。同步对读取操作的可扩展性和数据冗余很有帮助。

# Redis 的安装redis-2.8.9.tar.gz

# 解压

[root@master redis]# pwd

/usr/local/yting/redis

[root@master redis]# ls

redis-2.8.9.tar.gz

[root@master redis]# tar -zxvf redis-2.8.9.tar.gz

# make 编译（这里可能会报TCL错误，看下面的安装错误就行了）

[root@master redis]# cd redis-2.8.9

[root@master redis-2.8.9]# ls

00-RELEASENOTES BUGS CONTRIBUTING COPYING deps INSTALL Makefile MANIFESTO README redis.conf runtest runtest-sentinel sentinel.conf src tests utils

[root@master redis-2.8.9]# make

# make test 测试（要一点时间，坐等、、、、、）

[root@master redis-2.8.9]# make test

然后会出现这样的结果，这中间可能会出现TCL错误，只要安装TCL就行了，下面有安装方法

make install 安装

[root@master redis-2.8.9]# make install

# 启动服务器

[root@master redis-2.8.9]# cd src/

[root@master src]# ls

adlist.c anet.h config.h dict.o lzf_c.c migrate.o pqsort.h redis-benchmark redis-cli.c rio.c setproctitle.o syncio.o t_zset.o zipmap.o

adlist.h anet.o config.o endianconv.c lzf_c.o mkreleasehdr.sh pqsort.o redis-benchmark.c redis-cli.o rio.h sha1.c testhelp.h util.c zmalloc.c

adlist.o aof.c crc64.c endianconv.h lzf_d.c multi.c pubsub.c redis-benchmark.o redis.h rio.o sha1.h t_hash.c util.h zmalloc.h

ae.c aof.o crc64.h endianconv.o lzf_d.o multi.o pubsub.o redis.c redis.o scripting.c sha1.o t_hash.o util.o zmalloc.o

ae_epoll.c asciilogo.h crc64.o fmacros.h lzf.h networking.c rand.c redis-check-aof redis-sentinel scripting.o slowlog.c t_list.c valgrind.sup

ae_evport.c bio.c db.c help.h lzfP.h networking.o rand.h redis-check-aof.c redis-server sds.c slowlog.h t_list.o version.h

ae.h bio.h db.o hyperloglog.c Makefile notify.c rand.o redis-check-aof.o release.c sds.h slowlog.o t_set.c ziplist.c

ae_kqueue.c bio.o debug.c hyperloglog.o Makefile.dep notify.o rdb.c redis-check-dump release.h sds.o solarisfixes.h t_set.o ziplist.h

ae.o bitops.c debug.o intset.c memtest.c object.c rdb.h redis-check-dump.c release.o sentinel.c sort.c t_string.c ziplist.o

ae_select.c bitops.o dict.c intset.h memtest.o object.o rdb.o redis-check-dump.o replication.c sentinel.o sort.o t_string.o zipmap.c

anet.c config.c dict.h intset.o migrate.c pqsort.c redisassert.h redis-cli replication.o setproctitle.c syncio.c t_zset.c zipmap.h

[root@master src]# ./redis-server （使用默认配置）

看起来很厉害的样纸、、、

# 配置自己的redis.conf配置文件，新建一个conf目录，方便管理（这里的话配置文件的修改暂时不描述了）

[root@master redis-2.8.9]# mkdir conf

[root@master redis-2.8.9]# cp redis.conf conf/

[root@master redis-2.8.9]# cd conf/

[root@master conf]# pwd

/usr/local/yting/redis/redis-2.8.9/conf

[root@master conf]# ll

total 32

-rw-r--r-- 1 root root 31205 May 26 16:30 redis.conf

[root@master conf]#

# 将启动命令加入环境变量中去（自己创建bin目录，方便管理）

[root@master redis-2.8.9]# pwd

/usr/local/yting/redis/redis-2.8.9

[root@master redis-2.8.9]# ls

00-RELEASENOTES BUGS conf CONTRIBUTING COPYING deps INSTALL Makefile MANIFESTO README redis.conf runtest runtest-sentinel sentinel.conf src tests utils

[root@master redis-2.8.9]# mkdir bin

[root@master redis-2.8.9]# cd bin/

[root@master bin]# ln ../src/redis-serverredis-server

[root@master bin]# ln ../src/redis-cli redis-cli

[root@master bin]# ll

total 9756

-rwxr-xr-x 2 root root 4259855 May 26 16:05 redis-cli

-rwxr-xr-x 3 root root 5723167 May 26 16:05redis-server

[root@master bin]# vi /etc/profile.d/yting.sh（自己新建了一个yting.sh文件，里面写path什么的，不清楚的话可以百度下）

[root@master bin]# source /etc/profile

# Redis自带性能测试（redis-benchmark-h localhost -p 6379 -c 100 -n 100000）

[root@master bin]# redis-benchmark -h localhost -p6379 -c 100 -n 100000

====== PING_INLINE ======

100000requests completed in 1.19 seconds

100 parallelclients

3 bytespayload

keep alive: 1



99.58% <= 1 milliseconds

100.00% <= 2 milliseconds

84033.61 requests per second



====== PING_BULK ======

100000requests completed in 1.17 seconds

100 parallelclients

3 bytespayload

keep alive: 1

# Redis的客户端



100.00% <= 0 milliseconds

85543.20 requests per second



[18025] 26 May 16:54:25.684 * 100 changes in 300seconds. Saving...

[18025] 26 May 16:54:25.685 * Background saving startedby pid 18236

[18236] 26 May 16:54:25.693 * DB saved on disk

[18236] 26 May 16:54:25.693 * RDB: 4 MB of memoryused by copy-on-write

[18025] 26 May 16:54:25.785 * Background savingterminated with success

====== SET ======

100000requests completed in 1.35 seconds

100 parallelclients

3 bytespayload

keep alive: 1



99.65% <= 1 milliseconds

100.00% <= 1 milliseconds

74183.98 requests per second



====== GET ======

100000requests completed in 1.16 seconds

100 parallelclients

3 bytespayload

keep alive: 1



99.89% <= 1 milliseconds

100.00% <= 1 milliseconds

86132.64 requests per second



====== INCR ======

100000requests completed in 1.16 seconds

100 parallelclients

3 bytespayload

keep alive: 1



99.65% <= 1 milliseconds

100.00% <= 1 milliseconds

85910.65 requests per second



====== LPUSH ======

100000requests completed in 1.09 seconds

100 parallelclients

3 bytespayload

keep alive: 1



99.98% <= 1 milliseconds

100.00% <= 1 milliseconds

91407.68 requests per second



====== LPOP ======

100000requests completed in 1.17 seconds

100 parallelclients

3 bytespayload

keep alive: 1



94.31% <= 1 milliseconds

99.98% <= 2 milliseconds

100.00% <= 3 milliseconds

100.00% <= 3 milliseconds

85324.23 requests per second



====== SADD ======

100000requests completed in 1.32 seconds

100 parallelclients

3 bytespayload

keep alive: 1



35.02% <= 1 milliseconds

99.95% <= 2 milliseconds

100.00% <= 2 milliseconds

75585.79 requests per second



====== SPOP ======

100000requests completed in 1.29 seconds

100 parallelclients

3 bytespayload

keep alive: 1



99.78% <= 1 milliseconds

100.00% <= 1 milliseconds

77639.75 requests per second



====== LPUSH (needed to benchmark LRANGE) ======

100000requests completed in 1.38 seconds

100 parallelclients

3 bytespayload

keep alive: 1



87.86% <= 1 milliseconds

100.00% <= 2 milliseconds

100.00% <= 2 milliseconds

72358.90 requests per second



====== LRANGE_100 (first 100 elements) ======

100000requests completed in 2.08 seconds

100 parallelclients

3 bytespayload

keep alive: 1



78.60% <= 1 milliseconds

99.91% <= 2 milliseconds

100.00% <= 2 milliseconds

48169.56 requests per second



====== LRANGE_300 (first 300 elements) ======

100000requests completed in 5.14 seconds

100 parallelclients

3 bytespayload

keep alive: 1



0.01% <= 1 milliseconds

0.02% <= 2 milliseconds

93.94% <= 3 milliseconds

96.40% <= 4 milliseconds

99.72% <= 5 milliseconds

99.99% <= 6 milliseconds

100.00% <= 6 milliseconds

19466.62 requests per second



====== LRANGE_500 (first 450 elements) ======

100000requests completed in 6.99 seconds

100 parallelclients

3 bytespayload

keep alive: 1



0.01% <= 1 milliseconds

0.02% <= 2 milliseconds

5.52% <= 3 milliseconds

95.79% <= 4 milliseconds

99.92% <= 5 milliseconds

99.97% <= 6 milliseconds

99.99% <= 7 milliseconds

100.00% <= 7 milliseconds

14304.10 requests per second



====== LRANGE_600 (first 600 elements) ======

100000requests completed in 9.91 seconds

100 parallelclients

3 bytespayload

keep alive: 1



0.01% <= 1 milliseconds

0.03% <= 2 milliseconds

0.07% <= 3 milliseconds

3.67% <= 4 milliseconds

85.32% <= 5 milliseconds

92.15% <= 6 milliseconds

93.30% <= 7 milliseconds

96.49% <= 8 milliseconds

99.08% <= 9 milliseconds

99.96% <= 10 milliseconds

99.99% <= 11 milliseconds

100.00% <= 12 milliseconds

100.00% <= 12 milliseconds

10090.82 requests per second



====== MSET (10 keys) ======

100000requests completed in 1.67 seconds

100 parallelclients

3 bytespayload

keep alive: 1



19.18% <= 1 milliseconds

69.29% <= 2 milliseconds

99.70% <= 3 milliseconds

100.00% <= 3 milliseconds

59701.50 requests per second





[root@master bin]# [18025] 26 May 16:55:26.045 *10000 changes in 60 seconds. Saving...

[18025] 26 May 16:55:26.046 * Background savingstarted by pid 18240

[18240] 26 May 16:55:26.075 * DB saved on disk

[18240] 26 May 16:55:26.076 * RDB: 4 MB of memoryused by copy-on-write

[18025] 26 May 16:55:26.146 * Background savingterminated with success



[root@master bin]#

# 查询系统信息（[root@master bin]# redis-cli info）

[root@master bin]# redis-cli info （截一部分图意思一下吧！）

[root@master bin]# redis-cli info | grepmem (看看内存信息)

# Tcl的安装tcl8.6.1-src.tar.gz

# 解压

tar -zxvf tcl8.6.1-src.tar.gz

# 切换到unix目录下

[root@master redis-2.8.9]# cd unix/

# 运行configure 命令

[root@master unix]# ./ configure

# 编译TCL软件包

[root@master unix]# pwd

/home/tcl8.6.1/unix

[root@master unix]# make

# 安装TCL软件包

[root@master unix]# make install

# 中间不报错的话就是安装成功了

# Redis安装中出现的错误

You need tcl 8.5 or newer in order to run the Redistest

make[1]: *** [test] Error 1

make[1]: Leaving directory`/usr/local/yting/redis/redis-2.8.9/src'

make: *** [test] Error 2

原因：没有安装tcl

解决：安装tcl就好

详细安装请看目录中的# Tcl的安装 tcl8.6.1-src.tar.gz