我需要从此table1创建一个table2,以尝试更新下表:
@Documented
@Constraint(validatedBy = UserValidator.class)
@Target({ElementType.METHOD, ElementType.FIELD})
@Retention(RetentionPolicy.RUNTIME)
public @interface UserConstraint {
String message() default "Invalid age";
Class<?>[] groups() default {};
Class<? extends Payload>[] payload() default {};
}
尝试根据以前的值(例如Excel中的Ctrl + D)填充“事件”列
public class UserValidator implements ConstraintValidator<UserConstraint, Integer> {
@Override
public void initialize(UserConstraint constraintAnnotation) {
}
@Override
public boolean isValid(Integer age, ConstraintValidatorContext context) {
if(age > 60) {
//Here I want to return HTTP CODE 402 to the user
return false;
} else if(age < 18) {
//Here I want to return HTTP CODE 422 to the user
return false;
}
return true;
}
}
问题是事件未遵循顺序并且count(ID,Rank)也不是恒定的。 我不能尝试使用基于变量的函数,因为它具有数百万条记录,也不能使用'update'作为其Hawq。
有什么建议吗? 谢谢!
答案 0 :(得分:1)
您可以尝试将max
与窗口功能
CREATE TABLE T(ID int, Rank int, Event varchar(50));
INSERT INTO T VALUES (123456, 1,'178');
INSERT INTO T VALUES (123456, 2,'');
INSERT INTO T VALUES (123456, 3,'');
INSERT INTO T VALUES (123456, 4,'');
INSERT INTO T VALUES (123456, 5,'');
INSERT INTO T VALUES (123456, 6,'');
INSERT INTO T VALUES (123456, 7,'');
INSERT INTO T VALUES (356589, 1,'165');
INSERT INTO T VALUES (356589, 2,'');
INSERT INTO T VALUES (356589, 3,'');
INSERT INTO T VALUES (356589, 4,'');
INSERT INTO T VALUES (565984, 1,'1025');
INSERT INTO T VALUES (565984, 2,'');
INSERT INTO T VALUES (987456, 1,'85');
INSERT INTO T VALUES (987456, 2,'');
INSERT INTO T VALUES (987456, 3,'');
INSERT INTO T VALUES (987456, 4,'');
INSERT INTO T VALUES (987456, 5,'');
INSERT INTO T VALUES (987456, 6,'');
查询1 :
SELECT t.id,t.rank,max(Event) over (partition by ID order by Rank)
FROM T
Results :
| id | rank | max |
|--------|------|------|
| 123456 | 1 | 178 |
| 123456 | 2 | 178 |
| 123456 | 3 | 178 |
| 123456 | 4 | 178 |
| 123456 | 5 | 178 |
| 123456 | 6 | 178 |
| 123456 | 7 | 178 |
| 356589 | 1 | 165 |
| 356589 | 2 | 165 |
| 356589 | 3 | 165 |
| 356589 | 4 | 165 |
| 565984 | 1 | 1025 |
| 565984 | 2 | 1025 |
| 987456 | 1 | 85 |
| 987456 | 2 | 85 |
| 987456 | 3 | 85 |
| 987456 | 4 | 85 |
| 987456 | 5 | 85 |
| 987456 | 6 | 85 |
答案 1 :(得分:1)
您可以使用FIRST_VALUE
:
SELECT ID, RANK,
FIRST_VALUE(Event) OVER(PARTITION BY ID ORDER BY Rank) AS Event
FROM tab;
编辑:
道歉!每个ID都有多个事件代码。
您可以通过其他分组进行处理:
WITH cte AS (
SELECT ID, RANK, EVENT,
SUM(CASE WHEN event IS NULL THEN 0 ELSE 1 END)
OVER(PARTITION BY ID ORDER BY RANK) AS grp
FROM t
)
SELECT ID, RANK,
FIRST_VALUE(Event) OVER(PARTITION BY ID, grp ORDER BY Rank) AS Event
FROM cte;
答案 2 :(得分:0)
使用数组操作可以在没有子查询的情况下执行此操作:
select v.*,
(array_remove(array_agg(event) over (partition by id order by rank), NULL))[count(event) over (partition by id order by rank)]
from (values (1, 'a', 15),
(2, 'a', null),
(3, 'a', null),
(4, 'a', 20),
(5, 'a', null),
(1, 'b', 4),
(2, 'a', null)
) v(rank, id, event)
order by id, rank