sql05:能在sql里直接操作删掉含中文的记录吗
我们网站会员系统改版,原先有很多用户是用中文注册的ID,现在老大要求把这些直接用户删掉,也就是只保留注册ID里不含中文的用户,一共有十多万用户能有sql语句直接删掉的吗?   
 ------------请高手指点----------------------
------解决方案----------------------查询 
 select * from 表名 where 用户ID like  '%[吖-座]% '     
 --删除 
 delete 表名 where 用户ID like  '%[吖-座]% ' 
------解决方案--------------------或用如下生成一个汉字表.然后查 delete from 表 where charindex(汉字表.字段,用户ID) >  0   
 --GBK/2: GB2312 汉字,0xB0A1 - 0xF7FE (不包含 0xD7FA - 0xD7FE) 
 SELECT TOP 72 id=identity(int,176,1) INTO #a1 FROM SYSCOLUMNS 
 SELECT TOP 94 id=identity(int,161,1) INTO #a2 FROM SYSCOLUMNS 
 SELECT Code=CAST(a.id as binary(1))+CAST(b.id as binary(1)), 
 	[Char]=CAST(CAST(a.id as binary(1))+CAST(b.id as binary(1)) as char(2)) 
 INTO #1 
 FROM #a1 a,#a2 b 
 WHERE NOT (a.id=215 AND b.id> =250) 
 DROP TABLE #a1,#a2   
 --GBK/3: 扩充汉字,0x8140 - 0xA0FE (不包含xx7F) 
 SELECT TOP 32 id=identity(int,129,1) INTO #b1 FROM SYSCOLUMNS 
 SELECT TOP 191 id=identity(int,64,1) INTO #b2 FROM SYSCOLUMNS 
 DELETE FROM #b2 WHERE id=127 
 SELECT Code=CAST(a.id as binary(1))+CAST(b.id as binary(1)), 
 	[Char]=CAST(CAST(a.id as binary(1))+CAST(b.id as binary(1)) as char(2)) 
 INTO #2 
 FROM #b1 a,#b2 b 
 DROP TABLE #b1,#b2   
 --GBK/4: 扩充汉字,0xAA40 - 0xFEA0 (不包含xx7F) 
 SELECT TOP 85 id=identity(int,170,1) INTO #c1 FROM SYSCOLUMNS 
 SELECT TOP 97 id=identity(int,64,1) INTO #c2 FROM SYSCOLUMNS 
 DELETE FROM #c2 WHERE id=127 
 SELECT Code=CAST(a.id as binary(1))+CAST(b.id as binary(1)), 
 	[Char]=CAST(CAST(a.id as binary(1))+CAST(b.id as binary(1)) as char(2)) 
 INTO #3 
 FROM #c1 a,#c2 b 
 DROP TABLE #c1,#c2   
 --合并 
 SELECT *,[Unicode]=UNICODE([char]) INTO # FROM #1 
 UNION ALL 
 SELECT *,[Unicode]=UNICODE([char]) FROM #2 
 UNION ALL 
 SELECT *,[Unicode]=UNICODE([char]) FROM #3   
 --编码不连续的 
 SELECT *,(SELECT MIN([Unicode]) FROM # WHERE [Unicode]> A.[Unicode]) 
 FROM # A 
 WHERE NOT EXISTS( 
 	SELECT * FROM # WHERE [Unicode]=A.[Unicode]+1) 
 ORDER BY [Unicode]   
 --> 40869的汉字 (从 19968 - 40869 的 20902 个汉字 UNICODE 编码是连续的) 
 SELECT * FROM # WHERE [Unicode]> 40869 
 ORDER BY [Unicode]   
 DROP TABLE #1,#2,#3,#