select p.*,g.roleName,pg.srcType from t_gold_pay_add p left join gRole g on p.roleID=g.roleID left join gPay pg on pg.roleID=p.roleID 这上面那边语句,容易造成数据重复 select distinct p.id,p.*,g.roleName,pg.srcType from t_gold_pay_add p left join gRole g on p.roleID=
Mysql利用联表查询和分组来删除重复数据 //删除表中重复的id,保留最大的id mysql> select * from user; +----+------+ | id | name | +----+------+ | | a | | | b | | | c | | | d | | | a | | | a | | | c | | | d | +----+------+ rows in set (0.08 sec) mysql> delete a ) b on a .name = b.na
采集数据的时候,由于先期对页面结构的分析不完善,导致采漏了一部分数据.完善代码之后重新运行 Scrapy,又采集了一些重复的数据,搜了下删除重复数据的方法. N.B. 删除数据表的重复数据时,请先备份数据表. 方法一 # 保留主键 ID 较小的那条记录 DELETE n1 FROM names n1, names n2 WHERE n1.id > n2.id AND n1.name = n2.name # 保留主键 ID 较大的那条记录 DELETE n1 FROM names n1, name
(一)单个字段 1.查找表中多余的重复记录,根据(question_title)字段来判断 代码如下 复制代码 select * from questions where question_title in (select question_title from people group by question_title having count(question_title) > 1) 2.删除表中多余的重复记录,根据(question_title)字段来判断,只留有一个记录 代码如下 复制
进行数据库测试时需要根据不同场景查询数据,以便验证发现的问题是否为脏数据引起的.记录一下最近常用的查询方法: 1. 查询表中重复数据(id不同,多个字段值相同) select P1.* from project as P1, project as P2 where P1.id<>P2.id and P1.ProjectId=P2.ProjectId and P1.ServiceTypeId=P2.ServiceTypeId and P1.Rank=P2.Rank 2.连接多个表数据 selec
在网上看过一些解决方法 我在此给出的方法适用于无唯一ID的情形 表:TB_MACVideoAndPicture 字段只有2个:mac,content mac作为ID,正常情况下mac数据是唯一的,由于操作失误导致数据插入多次,导致出现多个mac,content重复数据,现在只保留一条,删除多余的 大体思想是给重复数据一个自增ID,过滤出每组里面最小ID,删除原数据中所有重复数据再将最小ID插入 --查询出所有重复数据,并给定递增id , ) AS id , mac , content INTO
如题,解决思路如下: 1.首先我们需要找出拥有重复数据的记录 ---以name字段分组 select Name,COUNT(Name) as [count] from Permission group by Name-- having COUNT(Name)>1 ---以name字段分组,筛选出有重复出现的字段 having 用于条件筛选 作用相当于where 区别where用于group by 之前,having用于之后 查找拥有重复记录的数据 执行结果: 2.然后我们需要知道要要保留的记录的
SELECT a.project_id,a.user_id,a.app_version,a.src_system,a.channel,a.thedate FROM rpt_innoreport_luckyday.dnu_user_id a WHERE a.thedate='2019-04-14' and a.app_version = (SELECT MAX(b.app_version) FROM rpt_innoreport_luckyday.dnu_user_id b WHERE a.use
1.先查询重复的id: SELECT book_id,COUNT(*) AS COUNT FROM xs_book_source WHERE site_id=5 GROUP BY book_id HAVING COUNT>1; 2.在查看详细信息: SELECT * FROM xs_book_source WHERE book_id=120 3.删除或者修改操作
delete from test where id in (select id from (select max(id) as id,count(text) as count from test group by text having count >1 order by count desc) as tab ) 测试代码 INSERT IGNORE INTO test_1(text,text2) values ('1111','22222'); INSERT IGNORE INTO t
方法一: select * from tablename where id in (select id from tablename group by id having count(id) > 1 ) 方法二: select DISTINCT t.* from ( select* from Goods g ) t
INSERT INTO hk_test(username, passwd) VALUES ('qmf1', 'qmf1'),('qmf2', 'qmf11') delete from hk_test where username='qmf1' and passwd='qmf1' MySQL里查询表里的重复数据记录: 先查看重复的原始数据: 场景一:列出username字段有重读的数据 select username,count(*) as count from hk_test group by
delete from 表名 where id not in (select d.id from (SELECT id FROM 表名 GROUP BY c1,c2,c3,c4)as d) #去重复,把url重复,且区为空的中去掉.select * from TABLE where url in (select u.url from (select * from TABLE where id not in (select d.id from (SELECT id FROM TABLE GROUP
业务:一个表中有很多数据(id为自增主键),在这些数据中有个别数据出现了重复的数据. 目标:需要把这些重复数据删除同时保留第一次插入的那一条数据,还要保持其它的数据不受影响. 解题过程: 第一步:查出所有要保留的下来的数据的id(save_id) SELECT id as save_id FROM yujing.alarm_event_info_snapshot aeis where aeis.event_id in (SELECT ae.id FROM yujing.alarm_event a