我正在尝试了解表格运算符APPLY
。
以下是示例:
CREATE TABLE #y ( Name char(8), hoursWorked int);
GO
INSERT INTO #y VALUES ('jim',4);
INSERT INTO #y VALUES ('michael',40);
INSERT INTO #y VALUES ('raj',1000);
INSERT INTO #y VALUES ('jason',7);
INSERT INTO #y VALUES ('tim',50);
GO
CREATE TABLE #x ( Name char(8),game char(8), NumBets int);
GO
INSERT INTO #x VALUES ('jim','chess',4);
INSERT INTO #x VALUES ('jim','BG',10);
INSERT INTO #x VALUES ('jim','draughts',100);
INSERT INTO #x VALUES ('jim','football',5);
INSERT INTO #x VALUES ('michael','chess',40);
INSERT INTO #x VALUES ('michael','BG',7);
INSERT INTO #x VALUES ('michael','draughts',65);
INSERT INTO #x VALUES ('michael','football',50);
INSERT INTO #x VALUES ('raj','chess',400);
INSERT INTO #x VALUES ('raj','BG',70);
INSERT INTO #x VALUES ('raj','draughts',650);
INSERT INTO #x VALUES ('tim','draughts',60000);
GO
SELECT y.Name,
y.hoursWorked,
x.game,
x.NumBets
FROM #y y
OUTER APPLY
(
SELECT TOP 2 *
FROM #x
WHERE Name = y.Name
ORDER BY NumBets
) x
ORDER BY y.Name,
x.NumBets DESC;
我的主要障碍是在使用APPLY
时理解
所以我想知道使用standard sql
中实现的sql-server 2005
得到与上面相同的结果有多难?
APPLY
是否会使查询更短或更易读?
如果此示例显示使用APPLY
没有大的优势,那么使用APPLY
有什么优势的明显示例是什么?
答案 0 :(得分:3)
首先 - 使用apply
,您可以调用表值函数,其中参数值取自您查询的表格,如下所示:
select
t1.col3, -- column from table
f1.col1 -- column from function
from table1 as t1
left outer join table2 as t2 on t2.col1 = t1.col1
outer apply dbo.function1(t1.col1, t2.col2) as f1
或粉碎xml列
select
t1.col3,
t.c.value('@value', 'int') as value
from table1 as t1
-- table1.col1 is xml iike <Data @Value="...">...</Data>
outer apply t1.col1.nodes('Data') as t(c)
从我的经验来看,apply
在您必须进行预先计算时非常有用:
select
t1.col3,
a1.col1, --calculated value
a2.col1 -- another calculated value, first one was used
from table1 as t1
outer apply (select t1.col1 * 5 as col1) as a1
outer apply (select a1.col1 - 4 as col1) as a2
使用apply
的另一个示例是 unpivot 操作:
select
t1.col1, c.name, c.value
from table1 as t1
outer apply (
select 'col1', t1.col1 union all
select 'col2', t1.col2
) as c(name, value)
最后,这里的您的查询是根据SQL 2005实现的,而不使用 apply :
;with cte as (
select
y.Name,
y.hoursWorked,
x.game,
x.NumBets,
row_number() over(partition by x.Name order by x.NumBets) as row_num
from y
left outer join x on x.Name = y.Name
)
select Name, hoursWorked, game, NumBets
from cte
where row_num <= 2
order by Name, NumBets desc
请参阅sql fiddle示例