有用的SQL语句删掉重复记录，收缩日志

发布时间：2023-08-09 14:50:24 所属栏目：MsSql教程来源：

导读：删除重复记录,将TABLE_NAME中的不重复记录保存到#TABLE_NAME中 selectdistinctinto#table_namefromtable_name

deletefromtable_name

selectintotable_namefrom#table_name

droptable#table_name 与此相关

删除重复记录,将TABLE_NAME中的不重复记录保存到#TABLE_NAME中 selectdistinctinto#table_namefromtable_name

deletefromtable_name

selectintotable_namefrom#table_name

droptable#table_name 与此相关的是“selectinto”选项，可以在数据库属性

对话框中，勾起来此项，或者在QueryAnalyzer中执行

executesp_dboption'db_name','selectinto','true'

开启。默认值是关闭的。

***

收缩事务日志(多次执行) backuplogregisterwithNO_LOG

backuplogregisterwithTruncATE_ONLY

DBCCSHRINKDATABASE(register) 更多有用的sql语句

/sql 语法学习/ /函数的学习－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－/ 获取当前时间（时/分/秒）：select convert(varchar(10),getdate(),8)

获取当前年月日：select convert(varchar(10),120)

获取当前年月：select convert(varchar(7),120)

获取当前年月：select convert(varchar(10),year(getdate())) + '-' + convert(varchar(10),month(getDate())) select cast(b as integer) as bb from table1 where b = '11' select a,case b when '11' then '细细' when '22' then '呵呵' else '哈哈' end as 转换,c from table1 select a,b,case when c = '111' then '细细' when c = '222' then '呵呵' else '哈哈' end as 转换1 from table1 获取当前时间：print current_timestamp /－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－/ -----------------将SQL查询输出到txt文本文件中-------------------------------------------

EXEC master..xp_cmdshell 'bcp 数据库名.dbo.表名 out d:\1.txt -c -q -U"sa" -P"password"' --------------------------------------------------------------------------------------- ---------------------------round的用法beigin------------------------------

declare @s float

set @s = 0.1566134

print round(@s,3)

---------------------------round的用法end--------------------------------- --------------------------------自动收缩数据库begin----------------------------- EXEC [master]..sp_dboption [Database Name],'autoshrink','TRUE' --------------------------------自动收缩数据库end-----------------------------

-------------------------------去除首尾无效的字符begin--------------------------

declare @s varchar(20)

set @s=',1->1,'

while(left(@s,1)=',')

set @s=stuff(@s,1,'')

while(right(@s,')

set @s=stuff(reverse(@s),'')

select @s

-------------------------------去除首尾无效的字符end--------------------------

------------删除数据库中的重复记录（且仅保留一条有效记录）示例-----------------

create table A

(

userID int identity(1,1),

userName varchar(20),

userPwd varchar(20),

userEmail varchar(50)

)

insert into A(userName,userpwd) select 'qin','qin' union all select 'qin','qin1' union all select 'qin','qin1'

select from A --method one

delete from A where userid not in(select min(userid) as userid from A group by username,userpwd) --method two

delete from A where exists (select from A b where a.username = b.username and a.userpwd = b.userpwd and a.userid < b.userid) --method three

delete from a where userid not in(select min(userid) from A b where a.username = b.username and a.userpwd = b.userpwd and a.userid > b.userID) select from A

drop table A ------------删除数据库中的重复记录（且仅保留一条有效记录）示例----------------- -------------------------------迭归的应用（找起点和终点之间的路径-----------------------------

create table t

(st varchar(20),ed varchar(20),km int)

go

insert t values ('A','B',1000)

insert t values ('A','C',1100)

insert t values ('A','D',900)

insert t values ('A','E',400)

insert t values ('B',300)

insert t values ('D','F',600)

insert t values ('E','A',400)

insert t values ('F','G',1000)

insert t values ('C',600)

go

--显示插入值

select from t

go --创建函数

--函数返回一个表，根据实际情况的不同一层一层的插入，可以充分利用生成的表

create function f_go(@col varchar(10))

returns @t table(col varchar(30),st varchar(20),km int,level int)

as

begin

declare @i int

set @i=1

insert @t select st+'-'+ed,,@i from t where st=@col

while exists (select from t a,@t b where

b.ed=a.st and b.level=@i and b.ed<>@col )

begin

set @i=@i+1

insert @t

select b.col+'-'+a.ed,a.st,a.ed,b.km+a.km,@i from t a,@t b

where b.level=@i-1 and b.ed=a.st and b.ed<>@col

end

return

end

go --调用

--select from dbo.f_go('A')

select col,km from dbo.f_go('a') --删除环境

drop function f_go

drop table t -------------------------------迭归的应用（找起点和终点之间的路径----------------------------- --------按类别去最新的前N条记录,把同一类的放在一起,统计同一类的项的个数等-------------

create table t

(

ClassName varchar(50),

ClassCode varchar(10),

ClassID int identity(1,1)

)

insert into t

select 'cccc1','002' union all

select 'aaaa','001' union all

select 'bbbb','001' union all

select 'aaaa1','002' union all

select 'cccc','001' union all

select 'dddd','001' union all

select 'bbbb1','002' union all

select 'dddd1','002'

select from t

select ClassCode = (case when exists(select 1 from t t1 where classCode = t1.ClassCode

and ClassID < t1.ClassID)

then '' else ClassCode end),ClassName from t order by ClassCode,ClassID desc select count(),classCode from (select top 100 percent ClassCode = (case when exists(select 1 from t t1 where classCode = t1.ClassCode

and ClassID < t1.ClassID)

then '' else ClassCode end),ClassID desc)a group by classcode select classCode,className from t order by classCode,classID desc

drop table t --------按类别去最新的前N条记录,统计同一类的项的个数等-------------

-------------同上,按类别进行统计,把同一类的项的其他内容进行相加并发在一个字段中------------------

create table tb(ProductID varchar(10),PositionID varchar(10))

insert into tb

select '10001','A1'

union all select '10001','B2'

union all select '10002','C3'

union all select '10002','D4'

union all select '10002','E5'

go create function dbo.fc_str(@ProductID varchar(10))

returns varchar(100)

as

begin

declare @sql varchar(1000)

set @sql=''

select @sql=@sql+','+cast(PositionID as varchar(20)) from tb where ProductID=@ProductID

return stuff(@sql,'')

end

go select ProductID,dbo.fc_str(ProductID) as PositionID from tb group by ProductID drop table tb drop function dbo.fc_str -------------按类别进行统计,把同一类的项的其他内容进行相加并发在一个字段中------------------ --取各个类的前n条记录(每个类都取top n条)

--如果有数据库中有多个类,现在要取每个类的前n条记录,可用以下语句

Create Table TEST

(ID Int Identity(1,

h_id Int)

Insert TEST Select 100

Union All Select 100

Union All Select 100

Union All Select 101

Union All Select 101

Union All Select 101

Union All Select 100

GO

--方法一：

Select From TEST A Where Id In(Select TOP 3 ID From TEST Where h_id=A.h_id)

--方法二：

Select From TEST A Where Not Exists (Select 1 From TEST Where h_id=A.h_id And ID<A.ID Having Count()>2)

--方法三：

Select From TEST A Where (Select Count() From TEST Where h_id=A.h_id And ID<A.ID)<3

GO

Drop Table TEST

GO

--分组统计,统计每个段中数据的个数

--一般成绩统计可以用到这个

declare @t table(id int,weight int)

insert into @t select 1,20

insert into @t select 2,15

insert into @t select 3,5

insert into @t select 4,60

insert into @t select 5,12

insert into @t select 6,33

insert into @t select 7,45

insert into @t select 8,59

insert into @t select 9,89

insert into @t select 10,110 declare @p int

set @p=10

select

rtrim(P@p)+'-'+rtrim((p+1)@p">P@p)+'-'+rtrim((p+1)@p) as p,

num

from

(select (weight/@p">weight/@p) as p,count() as num from @t where weight between 10 and 100 group by (weight/@p">weight/@p)) a

----------------------------在in语句中只用自定义排序begin--------------------------------

declare @t table(id int,110

--默认in语句中sql会按照id进行排序

select from @t where id in(2,4,3)

--用此方法可以按照我们传入的id顺序进行显示数据

select * from @t where id in(2,3) order by charindex(rtrim(id),',2,3,') ----------------------------在in语句中只用自定义排序end--------------------------------

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