在博友SingleCat的提醒下,對with語句做一些性能測試,這裡使用的測試工具是SQL Server Profile。我選擇了最後一個語句,
因為這個語句比較復雜一點。開始的時候單獨執行一次發現他們的差別不大,就差幾個毫秒,後來想讓他們多執行幾次,連續執行10
次看看執行的結果。下面貼出測試用的語句。
- /*with查詢*/
- declare @withquery varchar(5000)
- declare @execcount int=0
- set @withquery='with TheseEmployees as(
- select empid from hr.employees where country=N''USA''),
- CharacteristicFunctions as(
- select custid,
- case when custid in (select custid from sales.orders as o where o.empid=e.empid)
- then 1 else 0 end as charfun
- from sales.customers as c cross join TheseEmployees as e)
- select custid from CharacteristicFunctions group by custid having min(charfun)=1
- order by custid
- '
- while @execcount<10
- begin
- exec (@withquery);
- set @execcount=@execcount+1
- end
- /*子查詢*/
- declare @subquery varchar(5000)
- declare @execcount int=0
- set @subquery='select custid from Sales.Orders where empid in
- (select empid from HR.Employees where country = N''USA'') group by custid
- having count(distinct empid)=(select count(*) from HR.Employees where country = N''USA'');
- '
- while @execcount<10
- begin
- exec (@subquery);
- set @execcount=@execcount+1
- end
從SQL Server Profile中截圖如下
從圖中可以看到子查詢語句的執行時間要少於with語句,我覺得主要是with查詢中有一個cross join做了笛卡爾積的關系,
於是又實驗了上面的那個簡單一點的,下面是測試語句。
- /*with語句*/
- declare @withquery varchar(5000)
- declare @execcount int=0
- set @withquery='with c(orderyear,custid) as(
- select YEAR(orderdate),custid from sales.orders)
- select orderyear,COUNT(distinct(custid)) numCusts from c group by c.orderyear'
- while @execcount<100
- begin
- exec (@withquery);
- set @execcount=@execcount+1
- end
- /*子查詢*/
- declare @subquery varchar(5000)
- declare @execcount int=0
- set @subquery='select orderyear,COUNT(distinct(custid)) numCusts
- from (select YEAR(orderdate),custid from sales.orders) as D(orderyear,custid)
- group by orderyear'
- while @execcount<100
- begin
- exec (@subquery);
- set @execcount=@execcount+1
- end
這次做10次查詢還是沒有多大的差距,with語句用10個duration,子查詢用了11個,有時候還會翻過來。
於是把執行次數改成100,這次還是子查詢使用的時間要少,截圖如下
最終結論,子查詢好比with語句效率高。