/*第一种实现方法,效率低并且有错误*/ DECLARE @DD DATETIME SET @DD = GETDATE() SELECT a.GoodsID , a.Account , a.LastUpdate FROM dbo.tb_App_Goods a LEFT JOIN dbo.tb_App_Goods b ON a.Account = b.Account AND a.LastUpdate > b.LastUpdate GROUP BY a.GoodsID , a.Account , a
开发中经常会遇到,分组查询最新数据的问题,比如下面这张表(查询每个地址最新的一条记录): sql如下: -- ---------------------------- -- Table structure for test -- ---------------------------- DROP TABLE IF EXISTS `test`; CREATE TABLE `test` ( `id` ) NOT NULL AUTO_INCREMENT, `name` ) CHARACTER SET
版权声明:本文为博主原创文章,未经博主同意不得转载. https://blog.csdn.net/u011925175/article/details/24186917 有一个mysql数据库的表,要查询他的最后两条数据的结果例如以下: 这是原表中的内容: idname 1 ad 2 jk 3 tre 4 hgv 这是查询的最后两条的数据的内容(为最新的插入的数据): 语句:select * from demo1 order by id desc limit 0,2; 结果:id n
一.SQLServer 大致分为两种情况:ID连续和ID不连续. 1.ID连续的情况: select * from A where ID between 31 and 40 2.ID不连续的情况: (1).两次对表查询,效率较低. select top 10 * from A where ID not in (select top 30 ID from A)(2).外层查询没有对表A进行查询,效率提高. select top 10 * from (select top 40 ID from A
select B.enterprise_code, B.enterprise_name, sum(B.h0_overnum) AS over00, sum(B.h1_overnum) AS over01, sum(B.h2_overnum) AS over02, sum(B.h3_overnum) AS over03, sum(B.h4_overnum) AS over04, sum(B.h5_overnum) AS over05, sum(B.h6_overnum) AS over06, su
select * from (select t.*,row_number() over(partition by 分组字段 order by rownum) rn from 表名 t where 条件语句) where rn= 分组中的第几条; 引用:https://blog.csdn.net/liuhaolian/article/details/89375042
不同的数据库,支持的SQL语法略有不同,以下是不同数据库查询前n条数据的SQl语句 SQL Server(MSSQL) SELECT TOP n * FROM table_name ORACLE SELECT * FROM table_name WHERE ROWNUM <= 10; MySQL SELECT * FROM table_name LIMIT 10;
sql在不同数据库查询前几条数据 1. ORACLE SELECT * FROM TABLE_NAME WHERE ROWNUM <= N; HQL: from table_name t order by t.create_time desc where rownum<=n; 2. postgres查询前几条记录SQL SELECT * FROM TABLE_NAME LIMIT N; 3. DB2 SELECT * ROW_NUMBER() OVER(ORDER BY COL1 DESC
在hibernate框架和mysql.oracle两种数据库兼容的项目中实现查询每个id最新更新的一条数据. 之前工作中一直用的mybatis+oracle数据库这种,一般写这类分组排序取每组最新一条数据的sql都是使用row_number() over()函数来实现 例如: select t1.* from ( select t.*, ROW_NUMBER() over(partition t.id order by t.update_time desc) as rn from tab