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  • MySQL全面瓦解9:查询的排序、分页相关

    概述

    数据库中的数据直接呈现出来一般不是我们想要的,所以我们上两节演示了如何对数据进行过滤的方法。除了对数据进行过滤,

    我们可能还需要对数据进行排序,比如想从列表中了解消费最高的项,就可能需要对金额字段做降序排序,想看年龄从小到大的分布情况,就可能需要对user表的age字段进行升序排序。

    也可能需要对数据进行限制,比如我们需要对付款的1~10,11~20,21~30 名的用户分别赠予不同的礼品,这时候对数据的限制就很有用了。

    备注:下面脚本中[]包含的表示可选,| 分隔符表示可选其一。

    数据排序 order by

    语法格式如下:

    1、需要排序的字段跟在order by之后;

    2、asc 和 desc表示排序的规则,asc:升序,desc:降序,默认为升序 asc;

    3、排序可以指定多次字段,多字段排序之间用逗号隔开。

    4、多字段排序中,越靠前优先级越高,下面中cname1优先排序,当cname1等值的时候,cname2开始排序,直至所有字段都排序完。

    1 select cname from tname order by cname1 [asc|desc],cname2 [asc|desc]...;

    单个字段排序

    举个例子,在销售额中通按照交易的订单进行金额额度降序的方式显示:

     1 mysql> select * from t_order;
     2 +---------+---------+---------+-------+
     3 | orderid | account | amount  | goods |
     4 +---------+---------+---------+-------+
     5 |       8 | brand   | 52.2    |     2 |
     6 |       9 | hen     | 1752.02 |     7 |
     7 |      10 | helyn   | 88.5    |     4 |
     8 |      11 | sol     | 1007.9  |    11 |
     9 |      12 | diny    | 12      |     1 |
    10 |      13 | weng    | 52.2    |     5 |
    11 |      14 | sally   | 99.71   |     9 |
    12 +---------+---------+---------+-------+
    13 7 rows in set
    14 
    15 mysql> select * from t_order order by amount desc;
    16 +---------+---------+---------+-------+
    17 | orderid | account | amount  | goods |
    18 +---------+---------+---------+-------+
    19 |       9 | hen     | 1752.02 |     7 |
    20 |      11 | sol     | 1007.9  |    11 |
    21 |      14 | sally   | 99.71   |     9 |
    22 |      10 | helyn   | 88.5    |     4 |
    23 |       8 | brand   | 52.2    |     2 |
    24 |      13 | weng    | 52.2    |     5 |
    25 |      12 | diny    | 12      |     1 |
    26 +---------+---------+---------+-------+
    27 7 rows in set

    多个字段排序

    多个字段排序用逗号隔开,优先级从左到右逐次递减,如下图,如果金额一致,则按照购买商品数量从多到少排序:

     1 mysql> select * from t_order order by amount desc,goods desc;
     2 +---------+---------+---------+-------+
     3 | orderid | account | amount  | goods |
     4 +---------+---------+---------+-------+
     5 |       9 | hen     | 1752.02 |     7 |
     6 |      11 | sol     | 1007.9  |    11 |
     7 |      14 | sally   | 99.71   |     9 |
     8 |      10 | helyn   | 88.5    |     4 |
     9 |      13 | weng    | 52.2    |     5 |
    10 |       8 | brand   | 52.2    |     2 |
    11 |      12 | diny    | 12      |     1 |
    12 +---------+---------+---------+-------+
    13 7 rows in set

    按alias排序

    按照别名排序或者做条件查询的目的都是为了简化代码,方便使用,别名可以是英文,也可以是中文:

     1 mysql> select account as ac,amount as am,goods as gd from t_order order by am,gd desc;
     2    
     3 +-------+---------+----+
     4 | ac    | am      | gd |
     5 +-------+---------+----+
     6 | diny  | 12      |  1 |
     7 | weng  | 52.2    |  5 |
     8 | brand | 52.2    |  2 |
     9 | helyn | 88.5    |  4 |
    10 | sally | 99.71   |  9 |
    11 | sol   | 1007.9  | 11 |
    12 | hen   | 1752.02 |  7 |
    13 +-------+---------+----+
    14 7 rows in set

    字段排序中使用函数

    下面使用了abs取绝对值函数,所以在 am字段降序排序中,-99.99 排在 99.71之上。

     1 mysql> select * from t_order;
     2 +---------+---------+---------+-------+
     3 | orderid | account | amount  | goods |
     4 +---------+---------+---------+-------+
     5 |       8 | brand   | 52.2    |     2 |
     6 |       9 | hen     | 1752.02 |     7 |
     7 |      10 | helyn   | 88.5    |     4 |
     8 |      11 | sol     | 1007.9  |    11 |
     9 |      12 | diny    | 12      |     1 |
    10 |      13 | weng    | 52.2    |     5 |
    11 |      14 | sally   | 99.71   |     9 |
    12 |      15 | brand1  | -99.99  |     5 |
    13 +---------+---------+---------+-------+
    14 8 rows in set
    15 
    16 mysql> select account as ac,amount as am,goods as gd from t_order order by abs(am) desc;
    17    
    18 +--------+---------+----+
    19 | ac     | am      | gd |
    20 +--------+---------+----+
    21 | hen    | 1752.02 |  7 |
    22 | sol    | 1007.9  | 11 |
    23 | brand1 | -99.99  |  5 |
    24 | sally  | 99.71   |  9 |
    25 | helyn  | 88.5    |  4 |
    26 | brand  | 52.2    |  2 |
    27 | weng   | 52.2    |  5 |
    28 | diny   | 12      |  1 |
    29 +--------+---------+----+
    30 8 rows in set

    与Where条件结合使用

    order 在 where 条件之后,根据where已经过滤好的数据再进行排序。下面是过滤出购买金额>80 且 购买数量>5的数据,并且按照价格降序排序。

     1 mysql> select * from t_order;
     2 +---------+---------+---------+-------+
     3 | orderid | account | amount  | goods |
     4 +---------+---------+---------+-------+
     5 |       8 | brand   | 52.2    |     2 |
     6 |       9 | hen     | 1752.02 |     7 |
     7 |      10 | helyn   | 88.5    |     4 |
     8 |      11 | sol     | 1007.9  |    11 |
     9 |      12 | diny    | 12      |     1 |
    10 |      13 | weng    | 52.2    |     5 |
    11 |      14 | sally   | 99.71   |     9 |
    12 |      15 | brand1  | -99.99  |     5 |
    13 +---------+---------+---------+-------+
    14 8 rows in set
    15 
    16 mysql> select * from t_order where amount>80 and goods>5 order by amount desc;
    17 +---------+---------+---------+-------+
    18 | orderid | account | amount  | goods |
    19 +---------+---------+---------+-------+
    20 |       9 | hen     | 1752.02 |     7 |
    21 |      11 | sol     | 1007.9  |    11 |
    22 |      14 | sally   | 99.71   |     9 |
    23 +---------+---------+---------+-------+

    数据limit

    很多时候我们过滤出符合要求的数据之后,还需要得到这些数据中的某一个具体区间,比如对付款超过1000的用户的第1~10,11~20,21~30 名分别赠予不同的礼品,这时候就要使用limit操作了。

    limit用来限制select查询返回的数据,常用于数据排行或者分页等情况。

    语法格式如下:

    1 select cname from tname limit [offset,] count;

    1、offset表示偏移量,就是指跳过的行数,可以省略不写,默认为0,表示跳过0行,如 limit 8 等同于 limit 0,8。

    2、count:跳过偏移量offset之后开始取的数据行数,有count行。

    3、limit中offset和count的值不能用表达式。

    获取前n条记录

    如下图,limit n 和 limit 0,n 是一致的:

     1 mysql> select * from t_order;
     2 +---------+---------+---------+-------+
     3 | orderid | account | amount  | goods |
     4 +---------+---------+---------+-------+
     5 |       8 | brand   | 52.2    |     2 |
     6 |       9 | hen     | 1752.02 |     7 |
     7 |      10 | helyn   | 88.5    |     4 |
     8 |      11 | sol     | 1007.9  |    11 |
     9 |      12 | diny    | 12      |     1 |
    10 |      13 | weng    | 52.2    |     5 |
    11 |      14 | sally   | 99.71   |     9 |
    12 |      15 | brand1  | -99.99  |     5 |
    13 +---------+---------+---------+-------+
    14 8 rows in set
    15 
    16 mysql> select * from t_order limit 2
    17 ;
    18 +---------+---------+---------+-------+
    19 | orderid | account | amount  | goods |
    20 +---------+---------+---------+-------+
    21 |       8 | brand   | 52.2    |     2 |
    22 |       9 | hen     | 1752.02 |     7 |
    23 +---------+---------+---------+-------+
    24 2 rows in set
    25 
    26 mysql> select * from t_order limit 0,2;
    27 +---------+---------+---------+-------+
    28 | orderid | account | amount  | goods |
    29 +---------+---------+---------+-------+
    30 |       8 | brand   | 52.2    |     2 |
    31 |       9 | hen     | 1752.02 |     7 |
    32 +---------+---------+---------+-------+
    33 2 rows in set 

    limit限制单条记录

    这边我们获取支付金额中最大和最小的的一条记录。可以先使用 order 条件进行排序,然后limit 第1条记录即可:

     1  1 mysql> select * from t_order;
     2  2 +---------+---------+---------+-------+
     3  3 | orderid | account | amount  | goods |
     4  4 +---------+---------+---------+-------+
     5  5 |       8 | brand   | 52.2    |     2 |
     6  6 |       9 | hen     | 1752.02 |     7 |
     7  7 |      10 | helyn   | 88.5    |     4 |
     8  8 |      11 | sol     | 1007.9  |    11 |
     9  9 |      12 | diny    | 12      |     1 |
    10 10 |      13 | weng    | 52.2    |     5 |
    11 11 |      14 | sally   | 99.71   |     9 |
    12 12 |      15 | brand1  | -99.99  |     5 |
    13 13 +---------+---------+---------+-------+
    14 14 8 rows in set
    15 15 
    16 16 mysql> select * from t_order where amount>0 order by amount desc limit 1;
    17 17 +---------+---------+---------+-------+
    18 18 | orderid | account | amount  | goods |
    19 19 +---------+---------+---------+-------+
    20 20 |       9 | hen     | 1752.02 |     7 |
    21 21 +---------+---------+---------+-------+
    22 22 1 row in set
    23 23 
    24 24 mysql> select * from t_order where amount>0 order by amount asc limit 1;
    25 25 +---------+---------+--------+-------+
    26 26 | orderid | account | amount | goods |
    27 27 +---------+---------+--------+-------+
    28 28 |      12 | diny    | 12     |     1 |
    29 29 +---------+---------+--------+-------+
    30 30 1 row in set
    31  

    获取(m,n)区间记录

    即跳过m条,获取n条,示例如下,我们跳过两条,从第三条开始,连取四条的操作:

     1 mysql> select * from t_order order by amount;
     2 +---------+---------+---------+-------+
     3 | orderid | account | amount  | goods |
     4 +---------+---------+---------+-------+
     5 |      15 | brand1  | -99.99  |     5 |
     6 |      12 | diny    | 12      |     1 |
     7 |       8 | brand   | 52.2    |     2 |
     8 |      13 | weng    | 52.2    |     5 |
     9 |      10 | helyn   | 88.5    |     4 |
    10 |      14 | sally   | 99.71   |     9 |
    11 |      11 | sol     | 1007.9  |    11 |
    12 |       9 | hen     | 1752.02 |     7 |
    13 +---------+---------+---------+-------+
    14 8 rows in set
    15 
    16 mysql> select * from t_order order by amount limit 2,4;
    17 +---------+---------+--------+-------+
    18 | orderid | account | amount | goods |
    19 +---------+---------+--------+-------+
    20 |       8 | brand   | 52.2   |     2 |
    21 |      13 | weng    | 52.2   |     5 |
    22 |      10 | helyn   | 88.5   |     4 |
    23 |      14 | sally   | 99.71  |     9 |
    24 +---------+---------+--------+-------+
    25 4 rows in set

    分页的做法与这个类似,我们程序业务上看到的分页一般有 pageIndex,pageSize等参数,我们通常的做法是 limit pageIndex*pageSize,pageSize。

    这边假设有31条数据,每页数量pageSize=10,页面索引pageIndex默认0,则第一页就是 limit 0,10,第二页 limit10,10,第三页 limit 20,10,第四页 limit 30,10。

    注意点:

    1、limit 后面不能使用表达式,只能使用明确的数值,否则会爆出异常,比如 limit 0*10,10,是不对的,这个上面提过了。

    2、limit后续的数值只能是正整数和0,也就是说,不能是负数,否则同样会报错。

    3、排序字段的值相同情况下,排序后分页会出现混乱重复的情况。

    第3点详细说明下:假如根据age排序,但是有多个age都是20岁的同学,这时候我们3条记录一页,就会出现分页混乱数据重复。因为年龄相同的人有多个,这是几个人的排序在每次查询的时候会有不确定性。

    举个例子,下面的分页,混乱了:

     1 mysql> select * from user3;
     2 +----+------+-------+
     3 | id | age  | name  |
     4 +----+------+-------+
     5 |  1 |   20 | brand |
     6 |  2 |   22 | sol   |
     7 |  3 |   20 | helen |
     8 |  4 | 19.5 | diny  |
     9 |  6 |   19 | a     |
    10 |  7 |   20 | b     |
    11 |  8 |   20 | c     |
    12 |  9 |   20 | d     |
    13 | 10 |   20 | e     |
    14 | 11 |   23 | f     |
    15 +----+------+-------+
    16 10 rows in set
    17 
    18 mysql> select * from user3 order by age limit 0,3; 
    19 +----+------+-------+
    20 | id | age  | name  |
    21 +----+------+-------+
    22 |  6 |   19 | a     |
    23 |  4 | 19.5 | diny  |
    24 |  3 |   20 | helen |
    25 +----+------+-------+
    26 3 rows in set
    27 
    28 mysql> select * from user3 order by age limit 3,3;
    29  
    30 +----+-----+-------+
    31 | id | age | name  |
    32 +----+-----+-------+
    33 |  3 |  20 | helen |
    34 |  7 |  20 | b     |
    35 |  8 |  20 | c     |
    36 +----+-----+-------+
    37 3 rows in set
    38 
    39 mysql> select * from user3 order by age limit 6,3;
    40  
    41 +----+-----+-------+
    42 | id | age | name  |
    43 +----+-----+-------+
    44 |  7 |  20 | b     |
    45 |  3 |  20 | helen |
    46 |  2 |  22 | sol   |
    47 +----+-----+-------+
    48 3 rows in set 

    我们的做法是使用重复值字段做排序的时候再加个唯一依据(一般可以设主键),就不会混乱了。

    如下示例,正常了:

     1 mysql> select * from user3;
     2 +----+------+-------+
     3 | id | age  | name  |
     4 +----+------+-------+
     5 |  1 |   20 | brand |
     6 |  2 |   22 | sol   |
     7 |  3 |   20 | helen |
     8 |  4 | 19.5 | diny  |
     9 |  6 |   19 | a     |
    10 |  7 |   20 | b     |
    11 |  8 |   20 | c     |
    12 |  9 |   20 | d     |
    13 | 10 |   20 | e     |
    14 | 11 |   23 | f     |
    15 +----+------+-------+
    16 10 rows in set
    17 
    18 mysql> select * from user3 order by age,id limit 0,3;
    19  
    20 +----+------+-------+
    21 | id | age  | name  |
    22 +----+------+-------+
    23 |  6 |   19 | a     |
    24 |  4 | 19.5 | diny  |
    25 |  1 |   20 | brand |
    26 +----+------+-------+
    27 3 rows in set
    28 
    29 mysql> select * from user3 order by age,id limit 3,3;
    30  
    31 +----+-----+-------+
    32 | id | age | name  |
    33 +----+-----+-------+
    34 |  3 |  20 | helen |
    35 |  7 |  20 | b     |
    36 |  8 |  20 | c     |
    37 +----+-----+-------+
    38 3 rows in set
    39 
    40 mysql> select * from user3 order by age,id limit 6,3;
    41  
    42 +----+-----+------+
    43 | id | age | name |
    44 +----+-----+------+
    45 |  9 |  20 | d    |
    46 | 10 |  20 | e    |
    47 |  2 |  22 | sol  |
    48 +----+-----+------+
    49 3 rows in set

    上述总结

    1、order by cname [asc|desc] 用于对查询结果排序,asc为升序,desc为降序,可以省略,省略情况下默认为asc。

    2、limit用来限制查询结果返回的行数,包含2个参数(offset,count),offset:表示跳过多少行,count:表示跳过offset行之后取的行数。limit中offset可以省略,默认值为0;limit中offset 和 count都必须大于等于0;limit中offset和count的值不能用表达式。

    3、分页排序时,排序字段不要有重复值,重复值情况下可能会导致分页结果混乱,建议在后面加一个主键排序。

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  • 原文地址:https://www.cnblogs.com/wzh2010/p/13843024.html
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