‘壹’ sqlserver的查询语句
可以加条件
select top1 * from tablename where [性别] = '男' order by id desc
‘贰’ 如何查看SqlServer查询语句的执行效率
使用语句查询SQL Server执行过的语句及执行效率
SELECTTOP1000
ST.textAS'执行的SQL语句',
QS.execution_countAS'执行次数',
QS.total_elapsed_timeAS'耗时',
QS.total_logical_readsAS'逻辑读取次数',
QS.total_logical_writesAS'逻辑写入次数',
QS.total_physical_readsAS'物理读取次数',
QS.creation_timeAS'执行时间',
QS.*
FROMsys.dm_exec_query_statsQS
CROSSAPPLY
sys.dm_exec_sql_text(QS.sql_handle)ST
--WHEREQS.creation_timeBETWEEN'2015-08-0100:00:00'AND'2015-09-0211:00:00'
ORDERBY
QS.creation_timeDESC
‘叁’ 求一个SqlServer查询语句
你看看以下截图是不是你想要的效果
贴查询语句就提交不成功，你自己敲一下键盘吧
‘肆’ sqlserver怎样写查询语句完成下面的运算
将两条查询语句作为子查询的一部分连表.
select t1.count1+t2.count2 as 'countSum',t1.branch
(select count as count1, branch from table1 group by branch)t1
(select count as count2, branch from table2 group by branch)t2 on t1.branch =t2.branch
这种写法有一个潜在的限制,t1中的branch 必须包含t2,所以你的需求一般这么写:
select sum(counts)counts,branch
from(select * from(select count as counts, branch from table1 group by branch)t1
union
select * from(select count as counts, branch from table2 group by branch )t1)t
group by branch
‘伍’ SQLSERVER 查询语句
错在不能在子查询中用排序命令,建议建立个临时表
SQL如下
insert into #TEMP
select top 20 * from stu
order by sno desc
select top 10* from #TEMP
‘陆’ sqlserver中如何写查询语句
你可以用find来查询，find后面提供了比较大小的操作，比如find "start_data >#2010/02/21/12:20#"，结束时间同理
‘柒’ 求个sqlserver查询语句
可以用过程实现，sql恐怕不行哦，
create proc proc()
as
begin
定义变量
判断年龄
判断性别
最后返回
end
‘捌’ sqlserver模糊查询语句
你这条语句的意思是：查找name字段中包含字符str的值，如果str是要用户传进来话，需要用sql拼接技术。
String str="jack";
String sql=" select e from ecate as e where e.name like '% "+ str +" %' ";
ps.preparedStatement(sql);
应该这么写才对。
‘玖’ sqlserver多表查询语句
select a.*,b.remark,c.content from a,b,c where patindex('%'+convert(varchar,b.id)+'%',a.fb)>0
or patindex('%'+convert(varchar,c.id)+'%',a.fb)>0
select
case when id=1 then values end as 'A',
case when id=2 then values end as 'B',
case when id=3 then values end as 'C',
case when id=4 then values end as 'D',
max(create_time)
from 表 where create_time=(select max(create_time) from 表 )
group by
case when id=1 then values end ,
case when id=2 then values end ,
case when id=3 then values end ,
case when id=4 then values end