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SQL KEEP 窗口函数等价改写案例
来源:cnblogs  作者:小至尖尖  时间:2024/5/31 9:23:35  对本文有异议

一哥们出条sql题给我玩,将下面sql改成不使用keep分析函数的写法。

  1. select deptno,
  2. ename,
  3. sal,
  4. hiredate,
  5. min(sal) keep(dense_rank first order by hiredate) over(partition by deptno) min_sal,
  6. max(sal) keep(dense_rank last order by hiredate) over(partition by deptno) max_sal
  7. from emp;

我第一次改错了,被这哥们喷菜鸡,我草。

  1. -- 错误等价改写,逻辑不等价
  2. with x as (
  3. select e1.deptno,
  4. e1.ename,
  5. e1.sal,
  6. e1.hiredate,
  7. row_number() over (partition by DEPTNO order by HIREDATE) rn_first,
  8. row_number() over (partition by DEPTNO order by HIREDATE DESC) rn_last
  9. from EMP e1)
  10. select
  11. e.deptno,
  12. e.ename,
  13. e.sal,
  14. e.hiredate,
  15. x1.SAL,
  16. x2.SAL
  17. from emp e
  18. inner join x x1 on e.DEPTNO = x1.DEPTNO and x1.rn_first = 1
  19. inner join x x2 on e.DEPTNO = x2.DEPTNO and x2.rn_last = 1;

我换了张数据量更大点的表测试下,发现上面改写是逻辑有问题,如果同一个组内有相同日期的分组字段内有NULL值的,确实会导致SQL结果集不一致。

  1. -- EMP表替换成EMPLOYEES,如果使用上面等价改写就错误了。
  2. select DEPARTMENT_ID,
  3. FIRST_NAME,
  4. SALARY,
  5. HIRE_DATE,
  6. min(SALARY) keep(dense_rank first order by HIRE_DATE) over(partition by DEPARTMENT_ID) min_sal,
  7. max(SALARY) keep(dense_rank last order by HIRE_DATE) over(partition by DEPARTMENT_ID) max_sal
  8. from EMPLOYEES;

最终等价改写的SQL,增加了分组字段内有NULL值的逻辑和处理一个组内有相同日期的逻辑。

  1. select e.DEPARTMENT_ID,
  2. e.FIRST_NAME,
  3. e.SALARY,
  4. e.HIRE_DATE,
  5. (select MIN_SALARY
  6. from (select DEPARTMENT_ID, MIN(SALARY) MIN_SALARY
  7. from (select DEPARTMENT_ID,
  8. SALARY,
  9. HIRE_DATE,
  10. dense_rank() over (PARTITION BY DEPARTMENT_ID ORDER BY HIRE_DATE) RN
  11. from EMPLOYEES)
  12. WHERE RN = 1
  13. GROUP BY DEPARTMENT_ID) e1
  14. where case when e1.DEPARTMENT_ID is null then 99999 else e1.DEPARTMENT_ID end = case when e.DEPARTMENT_ID is null then 99999 else e.DEPARTMENT_ID end) a_min,
  15. (select MAX_SALARY
  16. from (select DEPARTMENT_ID, MAX(SALARY) MAX_SALARY
  17. from (select DEPARTMENT_ID,
  18. SALARY,
  19. HIRE_DATE,
  20. dense_rank() over (PARTITION BY DEPARTMENT_ID ORDER BY HIRE_DATE DESC) RN
  21. from EMPLOYEES)
  22. WHERE RN = 1
  23. GROUP BY DEPARTMENT_ID) e1
  24. where case when e1.DEPARTMENT_ID is null then 99999 else e1.DEPARTMENT_ID end = case when e.DEPARTMENT_ID is null then 99999 else e.DEPARTMENT_ID end ) a_max
  25. FROM EMPLOYEES e;

差集比较后是等价的:

 

原文链接:https://www.cnblogs.com/yuzhijian/p/18222519

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