资格与拥有之间的区别
Difference between Qualify and Having
谁能解释一下,Teradata 中的 qualify...over...partition by
和 group by...having
有什么区别?
我也想知道它们的性能是否有差异。
QUALIFY
是专有扩展,用于过滤 窗口聚合函数 .
的结果
查询按特定顺序进行逻辑处理:
- FROM: 创建基本结果集
- WHERE: 从之前的结果集中删除行
- GROUP BY:对之前的结果集应用聚合函数
- HAVING: 从先前的结果集中删除行
- OVER: 对之前的结果集应用窗口聚合函数
- QUALIFY:从之前的结果集中删除行
Having clause is used to filter the result set of the aggregate functions like (COUNT,min,max etc)
they eliminate rows based from groups based on some criteria like this :-
SELECT dept_no, MIN(salary), MAX(salary), AVG(salary)
FROM employee
WHERE dept_no IN (100,300,500,600)
GROUP BY dept_no
HAVING AVG(salary) > 37000;
The QUALIFY clause eliminates rows based on the function value, returning a new value for each of the participating rows.
It works on the final result set.
SELECT NAME,LOCATION FROM EMPLOYEE
QUALIFY ROW_NUMBER() OVER ( PARTITION BY NAME ORDER BY JOINING_DATE DESC) = 1;
We can club both having and qualify as well in a query if we use both aggregate and analytical fucntion like below:-
SELECT StoreID, SUM(sale),
SUM(profit) OVER (PARTITION BY StoreID)
FROM facts
GROUP BY StoreID, sale, profit
HAVING SUM(sale) > 15
QUALIFY SUM(profit) OVER (PARTITION BY StoreID) > 2;
You can see there order of execution from dnoeth answer.
谁能解释一下,Teradata 中的 qualify...over...partition by
和 group by...having
有什么区别?
我也想知道它们的性能是否有差异。
QUALIFY
是专有扩展,用于过滤 窗口聚合函数 .
查询按特定顺序进行逻辑处理:
- FROM: 创建基本结果集
- WHERE: 从之前的结果集中删除行
- GROUP BY:对之前的结果集应用聚合函数
- HAVING: 从先前的结果集中删除行
- OVER: 对之前的结果集应用窗口聚合函数
- QUALIFY:从之前的结果集中删除行
Having clause is used to filter the result set of the aggregate functions like (COUNT,min,max etc)
they eliminate rows based from groups based on some criteria like this :-
SELECT dept_no, MIN(salary), MAX(salary), AVG(salary)
FROM employee
WHERE dept_no IN (100,300,500,600)
GROUP BY dept_no
HAVING AVG(salary) > 37000;
The QUALIFY clause eliminates rows based on the function value, returning a new value for each of the participating rows.
It works on the final result set.
SELECT NAME,LOCATION FROM EMPLOYEE
QUALIFY ROW_NUMBER() OVER ( PARTITION BY NAME ORDER BY JOINING_DATE DESC) = 1;
We can club both having and qualify as well in a query if we use both aggregate and analytical fucntion like below:-
SELECT StoreID, SUM(sale),
SUM(profit) OVER (PARTITION BY StoreID)
FROM facts
GROUP BY StoreID, sale, profit
HAVING SUM(sale) > 15
QUALIFY SUM(profit) OVER (PARTITION BY StoreID) > 2;
You can see there order of execution from dnoeth answer.