xml文件转义字符处理

(1)

(2)直接写转义后的字符

1、mysql里批量修改表内某个字段内的部分数据

UPDATE inventory_stock

SET batchno = REPLACE(batchno,'-20-201901','-50-2019')

2、ON DUPLICATE KEY UPDATE

根据主键判断是新增还是修改(也可以有两个或多个主键)

INSERT INTO TABLE (a,c) VALUES (1,3) ON DUPLICATE KEY UPDATE c=c+1;

UPDATE TABLE SET c=c+1 WHERE a=1;

插入多条

INSERT INTO ding_user (dinguserid, `name` ,openid,mobile) VALUES

(#{item.dinguserid},#{item.name},#{item.openid},#{item.mobile})

ON DUPLICATE KEY UPDATE

`name` =values(name),openid=values(openid),mobile=values(mobile)

INSERT INTO ding_user (dinguserid, `name` ,openid,mobile) VALUES

(#{item.dinguserid},#{item.name},#{item.openid},#{item.mobile})

ON DUPLICATE KEY UPDATE

`name`=values(name),openid=values(openid)

1 insert into inventory_list2 (3 listid,billid,billtypeid,invid,invtypeid,storeid,positionid4 ,supplierid,productdate,validnum,batchno,count,memo,makerid5 )6 values7

8 (9 uuid(),#{item.billid},#{item.billtypeid},#{item.invid},#{item.invtypeid},#{item.storeid},#{item.positionid}10 ,#{item.supplierid},#{item.productdate},#{item.validnum},#{item.batchno},#{item.count},#{item.memo},#{item.makerid}11 )12

3、mysql插入一个字段

alter table task_list add chargeuserid varchar(50) DEFAULT NULL after userid;

UPDATE task_list SET chargeuserid =userid

AFTER userId :  必须加到最后

primary key ：若存在主键，语句会报错

//   插入一个字段和删除一个字段

alter table ding_attence ADD  makedate datetime DEFAULT CURRENT_TIMESTAMP;

ALTER TABLE ding_attence DROP COLUMN maketime

ALTER TABLE ding_attence  ADD `checkType` varchar(50) NOT NULL primary key  DEFAULT 'OnDuty' COMMENT '考勤类型OnDuty：上班；OffDuty：下班' AFTER userId;

3.修改一个字段

alter table user MODIFY new1 VARCHAR(10); //修改一个字段的类型

alter table user CHANGE new1 new4 int;//修改一个字段的名称，此时一定要重新指定该字段的类型

4.id自动增加

`id` int(12) NOT NULL AUTO_INCREMENT

5.id重新恢复1

alter table ali.ali_product AUTO_INCREMENT=1;

//修改自增字段的初始值

ALTER TABLE base_purchare auto_increment=1

4、REGEXP进行正则匹配

SELECT userid,username FROM  sys_user AS a

INNER JOIN sys_department AS b ON a.depid = b.depid AND b.iused = 1

WHERE a.iused =1 AND b.depcode REGEXP CONCAT('^',

(SELECT d.depcode FROM  sys_user AS c

INNER JOIN sys_department AS d ON c.depid = d.depid WHERE c.userid = '82200e23-5f1c-11e9-98bb-4ccc6a2f102e')

)

5、insert插入多条数据

INSERT INTO wx_user

SELECT userid ,'' AS openid FROM sys_user WHERE usercode = ''

6、查询表中一个字段是否有重复的值

SELECT  invcode,

count(t1.invcode) AS ct

FROM

base_inventory AS t1

GROUP BY

t1.invcode

HAVING

ct > 1

6、修改(替换)表中某个字段的值

update table set name replace(name,'name_','')

where name like 'name_%';--替换

replace(name,'name_','')

把name中出现'name_'的全部替换为''

update table set name = substr(name,6) where name like 'name_%'; --截取

mysql中的substr()函数

用法：

substr(string string,num start,num length);

string为字符串；

start为起始位置；

length为长度。

mysql中的start是从1开始的

substr(name,6) 从第六位开始到最后一位

update table set name= name +’内容’where id = 1

包含是否为空和NUL

UPDATE import_temp_invfile

SET state = 1 ,

errmsg = CONCAT(IF((ISNULL(errmsg) || LENGTH(trim(errmsg))<1),'编码重复','编码重复/'),IFNULL(errmsg,''))

WHERE invcode IN (1);

7、多个表的删除

DELETE m,p FROM ytd_meetings as m LEFT join ytd_meetingpic as p on m.meetingid = p.meetingid WHERE

m.meetingid in

#{item}

LETF JOIN  表示左侧表肯定删除，右侧有的话就删除

#{item}

collection="array"  类型

open="("      　　开头

separator=","  　　分隔符

close=")"　　　结尾

8、表的插入(修改)

INSERT INTO ding_dep (id,name) VALUES

(#{item.id},#{item.name})

ON DUPLICATE KEY UPDATE

name=values(name)

如果主键存在，做修改操作(只是修改name字段)

不存在做插入处理

9、转义字符的转换

对于一些 >、

V-IF的使用

where name like concat('%',#{keyvalue},'%')

10、时间戳的转换

1、13位时间戳转换为“yyyy-mm-dd hh:mm:ss”

FROM_UNIXTIME(round(b.start_time / 1000,0))

10位的则不用÷1000

2、“yyyy-mm-dd hh:mm:ss”转换为13位时间戳

SELECT  (UNIX_TIMESTAMP(NOW())*1000)

--转换成10位的则不用*1000

SELECT UNIX_TIMESTAMP('2019-10-12 10:50:12')

11、分组语句

根据时间查询 年-月-日

SELECT ROUND(AVG(b.temperaturevalue), 2) AS temVal

, ROUND(AVG(b.humidityvalue),2) AS humVal

, DATE_FORMAT(b.makedate,'%d') AS day

FROM sys_department a, msg_humitemp_record b

WHERE (a.depid=b.depid

AND a.depid= '3b7ddcf4-87a9-4188-8a36-b97929dcd0ee'AND year(b.makedate)= 2019AND month(b.makedate)= 10)

GROUP BY DATE_FORMAT(b.makedate,'%Y-%m-%d')

ORDER BY b.makedate ASC

11、查询中加入一个选项

比查询完再加入相对简单

SELECT '' AS stateid, '全部'AS title

UNION

SELECT stateid, statename AS title

FROM base_state

WHERE statevalue= '50'ORDER BY stateid

12、Count()的三种用法

1、COUNT(a > b OR NULL)

2、SUM(if(a > b, 1, 0))

3、是2的实际写法(2为简写)

SUM(CASE

WHEN a > b THEN 1

ELSE 0

END)

SELECT DATE_FORMAT(visdate, '%d') AS title, COUNT(visid) AS totalcount

, COUNT(temperature > maxtemperature

OR NULL) AS effectcount

, SUM(if(temperature > maxtemperature, 1, 0)) AS ss

, SUM(CASE

WHEN temperature > maxtemperature THEN 1

ELSE 0

END) AS aa

FROM user_visitor

WHERE DATE_FORMAT(visdate, '%Y-%m') = '2020-02'

GROUP BY DATE_FORMAT(visdate, '%d')

ORDER BY DATE_FORMAT(visdate, '%d') ASC;

parameterType="com.ws.wsweb.entity.DingUser"