android数据存储之Sqlite(一)

SQLite学习笔记

1、 Sqlite简介

SQLite是一款轻型的数据库,是遵守ACID的关联式数据库管理系统,它的设计目标是嵌入 式的,而且目前已经在很多嵌入式产品中使用了它,它占用资源非常的低,在嵌入式设备中,可能只需要几百K的内存就够了。它能够支持 Windows/Linux/Unix等等主流的操作系统,同时能够跟很多程序语言相结合,比如Tcl、PHP、Java、C++、.Net等,还有 ODBC接口,同样比起 Mysql、PostgreSQL这两款开源世界著名的数据库管理系统来讲,它的处理速度比他们都快。

特点:轻量级、不需要"安装"、单一文件 、跨平台/可移植性、弱类型的字段、开源

2、sqlite的数据类型

(1)一般数据采用的固定的静态数据类型,而sqlite采用的是动态的数据类型,会根据存入值自动判断,sqlite具有以下的五种常见数据类型:

  Null:空值

  Integer:带符号的整型,具体取决于存入的数值的范围大小

   Real:浮点数字,存储8个byte的浮点数

   Text:字符串文本

   Blob:二进制对象

3、利用命令的方式操作sqlite数据库

需要配置一下android的环境变量,http://www.cnblogs.com/bluestorm/archive/2012/09/27/2706420.html

(1)     打开cmd,进入到f盘,执行sqlite3 mydb.db,创建一个mydb.db文件

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" 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(2)     创建一个t_student表,并插入一条数据

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" 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Sqlite中如果主键是integer类型的,但是没有设置为自增,那么再插入一条没有主键的数据时,它会查找到表中最大主键的值然后+1作为这个新插入数据的主键(sqlite中主键自增使用autoincrement关键字),如下:

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xiUU7HzWQDQ5kcze3asZiVvJBtux7CWtbkvFLXND2hv4VpLGdxaKt1wbl5YeT32D/quGHZbZvpjpEsifxX50Uz/i4sZyG9uBQZokexlrWRI1+mnLjwzBjuERZFL58FUcfdhkca67g2vJTHemriLvKjX/7rW995r1uv3E0NjTEnkp/E/cgDrAivtsy7b1rzH2opFAS3tEa3rXzEZKYRjzV/YotjKGVMbUmGprlc/ai8zh7hfLYLSYb2TG8Zt9Ynhx/87f/94h+9261nfuGfnudKfhsYEy2TcVzkTPipCJ7H9xFz2ZN39KYPiYEcuz+1J8NQTtzrcPLFYbPEAepZ/pGMawdwrDHtQevsuWniI+A7f/WPn//6D7r26NP8qXiCdTm+0Yn7iEJaUxR+WufERrovKPnAgew+IEX5xeNoyRTf67hnbVjNFrZ9hCavVvd/x32c+Nqf/f1nbnz3/YQcTSQSiUTiffPWu7/4rbuecCEzxGg5luUWTpvs+HiJRCLxSeALf/zXb37h65263rnVs5RBDGrMCp8JcHCLPa9DFGLg3tKDgQz8wLbmXncpauHO2zpQ9cxpyZZPJm7CwI/KmF7M4A+cgqGQAc050DdKRwa+38wL7RiUBh+JTyqf/fa/f/1zX+nY5U6jcLCO16lrLKdLPxbl7C2YQH3e+90ea2J58K6wg1ezw8a8P3Y1sQn/Tpl2290G20JgmPuCAp6iilpebyJA9V1nMNezI9a8D0q4FO29zZ9pdxLE8xbGcC0KMJFIfKL47W/8+WufvdGxSwiG09Qe/sKcXwYwhaqcmG9N2dwyUUN6Nra1OPeiozl/h1vAblPzW44PZnoT8lOQdyEFIapj/julGy38Np/NnLwxv6xCuTXM7bKGKxbkVLugiZObKvw2nGMrwxgRtqnHhede+jY1z5Mh1DH6Tvoi96KZMHFzswtpqpXiek6kKjsmXmHebfswtQxM++0Tn0j+TX46l8JEznKGDZGVrJAXqGAxz7AvsnKUNJZwYQcn2Z9teOnN2bAj+nyUxrEViznD6ZxZ1AOU5belHDMo4xzLooe8NSvDfvhbNqP1aEx+RnCcM1Gs+Awzg5vy/Ogd8SyXQ/DKo3kYbR4Lbbs1MraMoIxj0R7yDMVspIJn2MDe5gqfEArfGDquO0eZEAK5xtsMF4RwkKcj19sX2cwUDjKFhZFlcgKnOcuy5kxM7egTwkW3p0NoxqWsZTwnOZ59A0zjDGdZGHzwMj7NE3mJ55nPiNu+mks4SAUneSUKBtMUrdkULhrfFeu5xGnORMHWNkahN3plOytn9sCtCiE1M7OfYtaHyJhjojO3MY6z7InCHnblJOWc5HwUfDaR+ITwu9/6izd+76sdO3U3ln0sZQW72B6Cq2dycqxnK7WcuW3E60KeZw/V2Rm0urEr7DLZEGLhtGNZCMu/g1qmZPsBN+yPuw2tmMkelrGC/WygLe1CzP+V7OZKCAWWYUCO/IziEkdYwRVeCplJZ4S8kxt5jRVBfR8LIUBWsby5FNpj2R/adju7gxFyAOspz44l05Wt1LCS/dQ0FmkmZlJ2x+2gE925RDXreIn6EEUJj7OEBbwYBZJZx3m2UclmqkJU/AnUsCuEyl952286ndcpo5wqrof3+EauUM1uVoQboBXTqGM767jKYooZEqL1lLGPgxy7rewVszbEQFvfXILqTEa1zSxnJSejyCtzuMhe1kbReo5E9sP+XOdRWoVtkpvZGGIjdaIzm6lhBQe5HGI6LOZVTrKSCxwNi3kd2MYFNrEhJ331yPySCiYS9y9f+P5/+vTnv9Gpe0/HOBkejCKm0YmeIZsIitnKuTwSLoxuLOFCJgx27KcwiKthuFrMy5zP8crvR9ltd+a34xIHgvWjPdNoG2IUzg7n7OVMpG258rOPk2FkOpHrjKWIy2wMr78JTI2+/ra8Y64cpSyY+AuYmj013J5dzpNcC1+5J8duu8JUEKZ3ccd1ppRKloM2bOZSaPyRzGc2sznNLrCW7UGDh3AuxHQ5x66guHO5lp3w5hb6htnMy4xncojRsjbITNz7mXidL4cez+T660FfrvAQB5nNLM42N+vqS11+L+sxvB4lCxgcTYCKKI8i2WTYH8Ud70cNo0K0ujXBgreGCxTzMNfDaKkLR0MI9kxa+kz1RmRHuhsW4vDmcvIurSwmEi2WGz/5u999+9tduvTWK6Q4W8t+HqOA3tREWWynZSdcaEp+GvV8uyVhCQZwiR3sZhenKcvZ0zqHA7eNhFHAQyH94jr2hdoODVGZ97ArxBi9jfy8xGm2sZfdXA/5fiqbHlBvZ0fTFYvpxUH2sIb9IW5jA7d4vmVar2GSsaa5tZ9+HGFX6LjHwxVrogH1U1ykFSO4QDlnOcul8Hpdy04e5RLDOBdmP0c4zHb2coCrt5WfDKdybImbOZrjZ9g2WBczDA2RmPuFzDeHmMc8TjcnP4Oz04LchtbM4Bzr2MqWSBHbUZ4TRPxAFBWiR5CftlFWNzxGFW0ZSVW4hXZSHrI5LAkRwTOciyyEmcxYjboe9LrzrDyJxP3FN//yH37va9/v2qOPB4O5rIRNXGMw3bga3IEyA72y6D3SlqooTUMDo6jJWQ7JyE9suhnElWCRWxFikcWe2S9yojnn3VaMCud0Zhe1lIZX0nnWhsJfiJaFulObnRw+88H9rGQ5axkSXjTLwznDGBPNz3Y0ZxZr4MHwimnDGl4NuUQzbM/2EBsXsg2hA/sbyzIQMzys8Jewkes8QGeuRF0zkwtgPDWRU2JDyqKm5OcE1ewIzbKmsYifMa04lRP0fktjA/kSLrI+dMpsrtEzzH7uVH7q8tBFdOQRiilgBBVRisJ2VIRv3cARDoQoU09Sw0hKqImmUJnJTTFjQnbz1axgZXhwljSd7XQMtSnWS+KTyvf/yz998Rvvdu3ezywO8SzPsII9dKEt66jnOVZQy/EgP2NYxCU2R+HcC5nCei6zNDso1kTqWMC8kFS4E1uoYjZTeSZ768YLnGzCLhGT8S/YG2q+jm2U0IntVDKDqTwdLfg/wfKQIn5SmIhMoJotTGV6MJUUB6PQYhaExYwGBd3BaWYyvblNJ7M5Gmq4OArb3Iu5HOcoc8JrqDcHQs23cy17jtWTeZG0F/A8h0Phy9lDV0qpiyxLs6ikgHHUMZ9neZZTYeKVSbWeGcgP53wIBT2bWlYwlRnZ63mNkskPuyL74LbGJnBFzOcqK5hHHRvDPpiMG9sR5jOfc83JzwMhF9m8nJwIt9CLQ6ziGZ5mfzTdaU8525kdzXcz2XG2Bf2uZQxFIcXqiyyiljI60p19lPN0cKbPKOtyzkbyE2eaeYR6FjEvx3g4+cPce5BItAT+9O/+5a3vvFfaoz/M5gpVUYIpYWn3KhtZFM1+VlATsoCcjPL9HOZiGDVviK7UiXVUUR+t5WQG7JepZmk0r5rBsbz3UhSwiBqqo5TAQiqUTOFxLPrNVHOCixyI7GDjqAipRBpCsGZ88zL5WFdl7xAcFFKPlOdR1aeo5jIHQ+R/we82k92kJvKq6sxe6nmRDdk5VUfwRpRGL8Os0HF7gzr24kL0/nqWc7SlY+iFC1ygIuT+Wsk2Hg7pX09EznIZ6coU3uw4vRVHoplBhvVNWCkLmB8S3a4Pt9AQLjCCvWGB6mhz8lPCAi5Tl0d+wo7sDxeN5zqtGE8FV7Knm5O4xBme4nww2BaxjDpeZi7nwtJjJ3ZzmSpmhan8Qo5E8nMycm3oENKV5qaV2p+Hx2MicV/zk1/dfPudn5X2DubnjnTM2Ybdik4UMT1a+2lLh/DTPnqJt4uO3+JHUBTKb93YwZhOdxiSoCAUcst7qnVjhZdENbzlKh3omLP+VBgKyY3O2S58/Xy2qnTMKbwoqkmH7MoX04kCWuckJVrK4CYKb+i4wux2bkOHUMlMgzdcNDNvy/gKZurTivbZ90Bur92G9jn9XtJ0b+Z2XKvwZ7uQwi6fCOsF4UsVh0L60T/7J26N3LsiQ9wmDXQM9Y/7qDC4hmZOaLgBinMKbxt9hYKokg3lNPrQjX1fe2ATifuI935z88b3Ivm5PXOz07YnPnoG5kx9Erl0pJJ6aqihltrmVq1aFAXB8TKR+Bjzs9/c/PL3ft49T/mZw/kkP4kWTxFjeJRHop8UaT+RaFHcmfy0ozRFB0kkEonEB+bO5CeRSCQSibvCe39/8+38134SiUQikbgr/Oi/33zru++V9ur/bz4509nSmI/TKubnUdxzrL77lUwkEonEx40f/uKf/+BbP+7WtZ+OXKCak43lvzrO1jyK28LJu1/JRCKRSHzc+O5f/eMX/vCHXbr1VcwMdnGiMfk5mL2HdABzmM50nmVmCBKzPoRznsek6PyOzGQGc6LYXJ2ZTTfG8lxO5tCJzGJ6dmVKmMksJkYHuzCLGcxleDjYjVl0YQLzoij3iUQikWgJfPXnv/rsV97p3CPsiZhHWR7yM5n6ELzyAm+GqGUreYV9VFHH7LBVsy/nKeM8p3iEAgZxjQOcpo6jQYEKmUUdl6hnXahPSQitf4lLzA3HB1ERCj/BKAoYxqvs4yz1HEwKlEgkEi2J3//Bf/7tL/1R525h6vEC5/KQn0w0gfZ0Yiv7QyCZVdQyj/asilJxFzCc4QxjLpX0oheVHKF7iP+YiQw2njrW0IEZ1IUIyps5Qy8K6cLLIUpNISNC4Qu4SBcGUsV+ujCGS+xqLGxBIpFIJO4Jv/Otv3jz81/r1DUE88pTfhpYyr4oiNl6DobfM5l4MglUMgH/L1PJRSrpS88QwT7D85wHT1MZbW49ELKWTaWWHUxmQoghXcQMLkWFX6CUAdRGUZCXZuf7SSQSicS95c2v/uTVz9zo0CVYpu5IfpawNzsIwnoOhd87cDFkkzzPJkYxitlU0yfIT0OI4uc5B57mchRY+gAbw+/DeZSxnKacByniImtD4c9RRbcgPw1RhJdl5/tJJBKJxL3ltRvvXv/dt+5YftqymDIG0onSEGMxlp+OkfxUsIS2tOWxkAs1Iz9jwvkLOBeiXdWyia68QF1w5p7LakqiQp6kgEoWhMLHcSWSn4bwaEl+EolEokXx2pez5WcplxuTn0PRFART+VSI23+ZayFtzDZOh3M6cZVZYCW1VIX0B1fpR2/ejHICLeFyCAb8FLXUsYuzISlACeupDUnqJlNAG9ZlF55JNzeITzEiFL6WiiQ/iUQi0WL41Nd/9tpnb3TsGuTnASY09po+GhZgMvRhGhOZxCSmBRvaiCjHTBsmhxWa1kxmcjh/Mu1px7TIIW1I9qXHMJUO7GRLVOYUpmYnsitmSlT4pJDY5qkoLdtDjEvR6hKJRKLF8Nl3/uObX/j6/3c9aIo+H21K4OKQQGUadTnJmxOJRCJxv/P2j//b77z17c6lvZo/9aNkLTVUUM/GnPxviUQikbjf+dZ/+IfPfe1PunTvc68rks3jPMdsZiXtSSQSiY8j3//b//P733y3W89+97oiiUQikfgk8e4v//VL3/lJaa/+97oiiUQikfgk8ZNf3Xz7nZ+W9u4PHYLn2AM55z3CsDyKG8Yjd7uKiUQikfj48dNMttPuA/7NxfkatVwI4dQaOMVLeRQX7/tJJBKJRKIpfvrrmzfe+Xn33gM8TxkT6c4+KhgUnXdL1INiutEl/HQLMXLWsw9RHIQMrehKV7pFrgRFYdNPe0qDp3UDHelG15wad40u11BOQ+ENG2Zb0w10SLGuE4lEouXx01/fvPG9n3fvPUCbaMvn07weBQOVIz9TuU4llZznUpgbreEQC6jnVNhziv5Uc5ka9gZlGhDyJhylnhcjBerPKa5wIdrHiklc4Qpl9A0Hh1DD5RCQNBOD7kEuMZuTIQh3IpFIJFoOP/31zRvf+1lp7wH//1Bmp+e27JnHLfLTl2eYwgS2UR3Sza3gGnuZwmnOhZjTJUxkAuNZwR460ZdKqpjOEq7yAhjMWc4yhV1cYSx4iqNMYiJzOBkKb8+kUPiaoECDqW0t+a0AAAKYSURBVOIST7GCq8zLmWAlEolE4l7x4/958+3vRvLzNNfYRkn2eU0lXBjCsaA9WMepkH9hEDXMAb1Zz0Y2spNa+tGDKyEmaWEIy4ZnqWUw6MjpkMtuE7VMppg2DKczBfRjQyh8N1dCwoWakHG1iK2cSzHfEolEosXwp7/8l7e+815pz/5E2pO707NR+RnFeZ6MjqznQPi9LReCuhziLC/zMvupjCJeN6THziRaxTQuRvHZdrMJFLCELaykjJW0ow3HOB0KP8CFKOL14FDIYk4l+UkkEokWw/f/9p+++M0fde3ezyRqWNuEhSpXfoZzKsdBrqmEC+XR6ssQ6ppOuIBnuMoEMJTzrANjI6/uqbzONERJ7TK1qk0JFxKJRKLF862//F+f/8oPuvbu4wj17GAtG9hKHAnhFvkZxWUqWMkGtgUj22ZOhHM6cYXp4Cgn2cB6dlNHX3rxaqQoi7gQPNZ2cIWNHKOGVWA0J9jEBjaxJbi6neRYKHxvML4N5LVoarWKsiQ/iUQi0WK48ZNffuatd7r06G0Zu9nLAQ5wnCHRebfs+3mCw+yITs4EpX6e9eGc9uxhPBjEPg5ygH3soTvdOBQlJH2a7cFzuoTNnORhdkSphoZwhKO8RFtQyFD2R4XvpDO9OczA8MFZbE2uB4lEItFi+Pwf//Wnv/iNzt16NnPerLCM/xHTi1fYei8unUgkEokPj9/65p+98Xtf7di1+72uSDZTWMUSTlIezZASiUQi8fHgja/8+LXP3ujYpYXJz3LKOcWxxgLQJRKJROJ+5/Ub717/zNsdurSwuDSFtAo/iUQikfj48fqXf/TqZ2507NrC5CeRSCQSH28+/Y0/e+PzX+3YtcfdLHQEB2lh9rxEIpFItBz+H05rnmJLw8qzAAAAAElFTkSuQmCC" 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(3)     更新t_student表中sid为2的数据

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" 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(4)     删除t_student表中sid为2的数据

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" 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(5)     order by语句进行排序,使用desc进行倒序排序

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" 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(6)     grouop by语句进行分组,根据sname进行分组

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" 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(7)     having语句对分组后的结果进行条件过滤,如下判断分组后数据个数大于1

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" 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(8)     limit语句分段取得数据,多用于分页操作, limit有两个参数,第一个是要取的数据的下标,从0开始,第二个参数是取得数据的个数, 如下取得t_student表中的第三条和第四条数据

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" alt="" />

以上涉及到的sql语句:

create table t_student(sid integer primary key autoincrement,sname varchar(20));

insert into t_student(sid,sname) values(1,'zhangsan');

select sid,sname from t_student;

update t_student set sname='lisi' where sid = 2;

delete from t_student where sid = 2;

select sid,sname from t_student order by sid desc;

select sid,sname,count(sname) from t_student group by sname ;

select sid,sname from t_student group by sname having count(sname) > 1;

select sid,sname from t_student limit 0,2;
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