I am looking to get the top 3 distinct salaries of each department. I was able to do it either using RANK()
or DENSE_RANK()
or ROW_NUMBER()
but my table is having some records with same salaries.
Mentioned below is my query and its result.
The top 3 salaries of Dept 20 should be 6000, 3000, 2975. But there are 2 employees with salary 3000 and both of them have rank 2. So it is giving me 4 records for this department (1 for rank 1, 2 records for rank2 and 1 record for rank3).
Please suggest/advise about how can get the distinct top 3 salaries for each department.
SELECT * FROM (
SELECT EMPNO, DEPTNO, SAL,
DENSE_RANK() over (partition by deptno order by sal DESC) as RANK,
row_number() over (partition by deptno order by sal DESC) as ROWNO
from EMP)
WHERE RANK <= 3;
Empno Deptno Salary Rank Rowno
----------------------------------------
7839 10 5000 1 1
7782 10 2450 2 2
7934 10 1300 3 3
7935 20 6000 1 1
7788 20 3000 2 2
7902 20 3000 2 3
7566 20 2975 3 4
7698 30 2850 1 1
7499 30 1600 2 2
7844 30 1500 3 3
row_number numbers the rows 1, 2, 3, etc by the columns in the ORDER BY clause, and if there are ties, it is arbitrary which rows that gets the same number. rank and dense_rank are similar to row_number , but when there are ties, they will give the same value to the tied values.
The row_number gives continuous numbers, while rank and dense_rank give the same rank for duplicates, but the next number in rank is as per continuous order so you will see a jump but in dense_rank doesn't have any gap in rankings.
Differences between RANK and DENSE_RANK RANK and DENSE_RANK will assign the grades the same rank depending on how they fall compared to the other values. However, RANK will then skip the next available ranking value whereas DENSE_RANK would still use the next chronological ranking value.
ROW_NUMBER and RANK are similar. ROW_NUMBER numbers all rows sequentially (for example 1, 2, 3, 4, 5). RANK provides the same numeric value for ties (for example 1, 2, 2, 4, 5). ROW_NUMBER is a temporary value calculated when the query is run.
If you get more specific in row_number
, with partitioning by dept,salary
then you can combine row_number
and dense_rank
as in this query:
with data_row as
(
select 7839 as empno, 10 as deptno, 5000 as salary from dual union all
select 7782 as empno, 10 as deptno, 2450 as salary from dual union all
select 7934 as empno, 10 as deptno, 1300 as salary from dual union all
select 1111 as empno, 10 as deptno, 1111 as salary from dual union all
select 7935 as empno, 20 as deptno, 6000 as salary from dual union all
select 7788 as empno, 20 as deptno, 3000 as salary from dual union all
select 7902 as empno, 20 as deptno, 3000 as salary from dual union all
select 7566 as empno, 20 as deptno, 2975 as salary from dual union all
select 2222 as empno, 20 as deptno, 2222 as salary from dual union all
select 7698 as empno, 30 as deptno, 2850 as salary from dual union all
select 7499 as empno, 30 as deptno, 1600 as salary from dual union all
select 7844 as empno, 30 as deptno, 1500 as salary from dual union all
select 3333 as empno, 30 as deptno, 1333 as salary from dual
)
select *
from
(
select
deptno,
salary,
dense_rank() over (partition by deptno order by salary desc) as drank,
row_number() over (partition by deptno, salary order by salary desc) as rowno
from data_row
)
where drank <=3 and
rowno =1
The row_number
function you used should do the trick:
SELECT *
FROM (SELECT empno, deptno, sal
DENSE_RANK() OVER (PARTITION BY deptno ORDER BY sal DESC) as rk,
ROW_NUMBER() OVER (PARTITION BY deptno ORDER BY sal DESC) as rowno
FROM emp)
WHERE rowno <= 3;
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