最近一个月 SELECT * FROM table WHERE DATE_SUB(CURDATE(), INTERVAL 1 MONTH) <= date(time); 本月.当前月 SELECT * FROM table WHERE DATE_FORMAT(o.createTime,'%Y-%m') = DATE_FORMAT(CURDATE(),'%Y-%m'); 上个月 SELECT * FROM table WHERE PERIOD_DIFF(DATE_FORMAT(NOW(),'%Y-
select date_add(curdate(), interval(cast(help_topic_id as signed integer) - 30) day) day from mysql.help_topic where help_topic_id < day(last_day(curdate())) order by help_topic_id 2019-07-03更新进一步格式化版 SELECT DATE_FORMAT( date_add( curdate( ), INTERVA
SELECT ADDDATE(y.first, x.d - 1) as dFROM(SELECT 1 AS d UNION ALLSELECT 2 UNION ALLSELECT 3 UNION ALLSELECT 4 UNION ALLSELECT 5 UNION ALLSELECT 6 UNION ALLSELECT 7 UNION ALLSELECT 8 UNION ALLSELECT 9 UNION ALLSELECT 10 UNION ALLSELECT 11 UNION ALLSEL
转自:http://www.cnblogs.com/likwo/archive/2010/04/16/1713282.html 查询一天: select * from table where to_days(column_time) = to_days(now());select * from table where date(column_time) = curdate(); 查询一周: select * from table where DATE_SUB(CURDATE(), INTER
(转载)http://www.cnblogs.com/likwo/archive/2010/04/16/1713282.html 查询一天: select * from table where to_days(column_time) = to_days(now());select * from table where date(column_time) = curdate(); 查询一周: select * from table where DATE_SUB(CURDATE(), INTE
用sql查询当天,一周,一个月的数据 数据查询,不管在网站还是在系统,都很常见,下文是介绍最常见的以日期查询的语句 select * from ShopOrder where datediff(week,ordTime,getdate()-1)=0 //查询当天日期在一周年的数据 select * from ShopOrder where datediff(day,ordTime,getdate()-1)=0 //查询当天的所有数据 --查询当天: select * fro
自动化测试中遇到,默认查询条件为最近一个月,所以起始时间就应该为(2019-07-09 00:00:00.000 到 2019-08-07 23:59:59.999) test ${current_date} Get Current Date result_format=%Y-%m-%d ::59.999 log ${current_date} ${current_date-} Add Time To Date ${current_date} -::59.999 log ${current_d
系统在开发测试过程中出现bug,比如并发操作没有处理好,数据库中往往会插入重复数据,这些脏数据经常会导致各种问题.bug可以修改,但是数据往往也要处理,处理SQL如下: 1.根据一个字段查找重复数据 比如,User表中的userName需要保持唯一,查询重复数据的语句如下: SELECT userName from `User` GROUP BY userName HAVING count(*) > ; 如果要删除重复数据,则根据userName分组获取最大或最小id,然后删除其他数据即可,如下
返回处理后的数据,不同于round()(对数值进行四舍五入处理),该函数不对指定小数前或后的数值部分进行舍入处理. 语法:trunc(number[,decimals]) 其中,number为待做处理的数值,decimals为需要保留小数点后面的位数,即精度,默认值为0,此时将截去所有的小数部分. 数值处理: select trunc(123.45) as a,trunc(123.456,2) as b, trunc(123.45,-1) as c from dual ;