I have a following selection:
| EmployeeId | DepartmentName | Salary |
----------------------------------------
| 1 | A | 10 |
| 2 | A | 10 |
| 3 | A | 15 |
| 4 | A | 20 |
| 5 | A | 20 |
| 6 | B | 15 |
| 7 | B | 25 |
| 8 | B | 25 |
I want to group all rows by salary in each department and add this number of group to the selection.
Example of the result selection:
| EmployeeId | DepartmentName | Salary | Group |
------------------------------------------------
| 1 | A | 10 | 1 |
| 2 | A | 10 | 1 |
| 3 | A | 15 | 2 |
| 4 | A | 20 | 3 |
| 5 | A | 20 | 3 |
| 6 | B | 15 | 1 |
| 7 | B | 25 | 2 |
| 8 | B | 25 | 2 |
SELECT *
, DENSE_RANK() OVER (PARTITION BY DepartmentName
ORDER BY Salary) AS [Group]
FROM TableName
Related
I have the following sql to calculate a % total:
SELECT tblTourns_atp.ID_Ti,
Sum([FS_1]/(SELECT Sum(FSOF_1)
FROM stat_atp
WHERE stat_atp.ID_T = tblTourns_atp.ID_T)) AS S1_IP
FROM stat_atp
INNER JOIN tblTourns_atp ON stat_atp.ID_T = tblTourns_atp.ID_T
GROUP BY tblTourns_atp.ID_Ti
I'm getting the 'aggregate error' because it wants the ID_T fields either grouped or in an aggregate function. I've read loads of examples but none of them seem to apply when the offending field is the subject of 'WHERE'.
Tables and output as follows:
+----------+------+--------+--+---------------+-------+--+--------+--------+
| stat_atp | | | | tblTourns_atp | | | Output | |
+----------+------+--------+--+---------------+-------+--+--------+--------+
| ID_T | FS_1 | FSOF_1 | | ID_T | ID_Ti | | ID_Ti | S1_IP |
| 1 | 20 | 40 | | 1 | 1 | | 1 | 31.03% |
| 2 | 30 | 100 | | 2 | 1 | | 2 | 28.57% |
| 3 | 40 | 150 | | 3 | 1 | | 3 | 33.33% |
| 4 | 30 | 100 | | 4 | 2 | | | |
| 5 | 30 | 100 | | 5 | 2 | | | |
| 6 | 40 | 150 | | 6 | 2 | | | |
| 7 | 20 | 40 | | 7 | 3 | | | |
| 8 | 30 | 100 | | 8 | 3 | | | |
| 9 | 40 | 150 | | 9 | 3 | | | |
| 10 | 20 | 40 | | 10 | 3 | | | |
+----------+------+--------+--+---------------+-------+--+--------+--------+
Since you already have an inner join between the two tables, a separate subquery isn't required:
select t.id_ti, sum(s.fs_1)/sum(s.fsof_1) as pct
from tbltourns_atp t inner join stat_atp s on t.id_t = s.id_t
group by t.id_ti
I have this table
+----+--------+------------+-----------+
| Id | day_id | subject_id | period_Id |
+----+--------+------------+-----------+
| 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 2 |
| 8 | 2 | 6 | 1 |
| 9 | 2 | 7 | 2 |
| 15 | 3 | 3 | 1 |
| 16 | 3 | 4 | 2 |
| 22 | 4 | 5 | 1 |
| 23 | 4 | 5 | 2 |
| 24 | 4 | 6 | 3 |
| 29 | 5 | 8 | 1 |
| 30 | 5 | 1 | 2 |
to something like this
| Id | day_id | subject_id | period_Id |
| 1 | 1 | 1 | 1 |
| 8 | 2 | 6 | 1 |
| 15 | 3 | 3 | 1 |
| 22 | 4 | 5 | 1 |
| 29 | 5 | 8 | 1 |
| 2 | 1 | 2 | 2 |
| 2 | 1 | 2 | 2 |
| 16 | 3 | 4 | 2 |
| 23 | 4 | 5 | 2 |
| 30 | 5 | 1 | 2 |
+----+--------+------------+-----------+
SO, I want to choose one period with a different subject each day and doing this for number of weeks. so first subject dose not come until all subject have been chosen.
You can ORDER BY period_id first and then by day_id:
SELECT *
FROM your_table
ORDER BY period_Id, day_Id
LiveDemo
Consider the following simplified example:
Table JobTitles
| PersonID | JobTitle | StartDate | EndDate |
|----------|----------|-----------|---------|
| A | A1 | 1 | 5 |
| A | A2 | 6 | 10 |
| A | A3 | 11 | 15 |
| B | B1 | 2 | 4 |
| B | B2 | 5 | 7 |
| B | B3 | 8 | 11 |
| C | C1 | 5 | 12 |
| C | C2 | 13 | 14 |
| C | C3 | 15 | 18 |
Table Transactions:
| PersonID | TransDate | Amt |
|----------|-----------|-----|
| A | 2 | 5 |
| A | 3 | 10 |
| A | 12 | 5 |
| A | 12 | 10 |
| B | 3 | 5 |
| B | 3 | 10 |
| B | 10 | 5 |
| C | 16 | 10 |
| C | 17 | 5 |
| C | 17 | 10 |
| C | 17 | 5 |
Desired Output:
| PersonID | JobTitle | StartDate | EndDate | Amt |
|----------|----------|-----------|---------|-----|
| A | A1 | 1 | 5 | 15 |
| A | A2 | 6 | 10 | 0 |
| A | A3 | 11 | 15 | 15 |
| B | B1 | 2 | 4 | 15 |
| B | B2 | 5 | 7 | 0 |
| B | B3 | 8 | 11 | 5 |
| C | C1 | 5 | 12 | 0 |
| C | C2 | 13 | 14 | 0 |
| C | C3 | 15 | 18 | 30 |
To me this is JobTitles LEFT OUTER JOIN Transactions with some type of moving criteria for the TransDate -- that is, I want to SUM Transaction.Amt if Transactions.TransDate is between JobTitles.StartDate and JobTitles.EndDate per each PersonID.
Feels like some type of partition or window function, but my SQL skills are not strong enough to create an elegant solution. In Excel, this equates to:
SUMIFS(Transaction[Amt], JobTitles[PersonID], Results[#[PersonID]], Transactions[TransDate], ">" & Results[#[StartDate]], Transactions[TransDate], "<=" & Results[#[EndDate]])
Moreover, I want to be able to perform this same logic over several flavors of Transaction tables.
The basic query is:
select jt.PersonID, jt.JobTitle, jt.StartDate, jt.EndDate, coalesce(sum(amt), 0) as amt
from JobTitles jt left join
Transactions t
on jt.PersonId = t.PersonId and
t.TransDate between jt.StartDate and jt.EndDate
group by jt.PersonID, jt.JobTitle, jt.StartDate, jt.EndDate;
I have four tables as below:
tblAccount
Id i sprimary key
+----+-----------------+
| Id | AccName |
+----+-----------------+
| 1 | AccountA |
| 2 | AccountB |
+----+-----------------+
tblLocation
Id is primary key.
+----+---------------+
| Id | LocName |
+----+---------------+
| 1 | LocationA |
| 2 | LocationB |
| 3 | LocationC |
+----+---------------+
tblAccountwiseLocation
Id i sprimary key.LocId and AccId are foreign key.
+----+---------------+---------------+
| Id | LocId | AccId |
+----+---------------+---------------+
| 1 | 1 | 1 |
| 2 | 2 | 1 |
| 3 | 3 | 1 |
| 4 | 1 | 2 |
| 5 | 2 | 2 |
| 6 | 3 | 2 |
+----+---------------+---------------+
tblRSCMaster
Id i sprimary key.LocId and AccId are foreign key.
+----+---------------+---------------+----------------+------------------+
| Id | LocId | AccId | RSCNo | DateOfAddition |
+----+---------------+---------------+----------------+------------------+
| 1 | 1 | 1 | Acc1_Loc1_1_14 | 15/01/2014 |
| 2 | 2 | 1 | Acc1_Loc2_1_14 | 15/01/2014 |
| 3 | 3 | 1 | Acc1_Loc2_1_14 | 15/01/2014 |
| 4 | 1 | 2 | Acc2_Loc1_1_14 | 15/01/2014 |
| 5 | 2 | 2 | Acc2_Loc2_1_14 | 15/01/2014 |
| 6 | 3 | 2 | Acc2_Loc3_1_14 | 15/01/2014 |
| 7 | 1 | 1 | Acc1_Loc1_2_14 | 15/02/2014 |
| 8 | 2 | 1 | Acc1_Loc2_2_14 | 15/02/2014 |
| 9 | 3 | 1 | Acc1_Loc3_2_14 | 15/02/2014 |
| 10 | 1 | 2 | Acc2_Loc1_2_14 | 15/02/2014 |
| 11 | 2 | 2 | Acc2_Loc2_2_14 | 15/02/2014 |
| 12 | 3 | 2 | Acc2_Loc3_2_14 | 15/02/2014 |
| 13 | 1 | 1 | Acc1_Loc1_3_14 | 15/03/2014 |
| 14 | 2 | 1 | Acc1_Loc2_3_14 | 15/03/2014 |
| 15 | 3 | 1 | Acc1_Loc3_3_14 | 15/03/2014 |
| 16 | 1 | 2 | Acc2_Loc1_3_14 | 15/03/2014 |
| 17 | 2 | 2 | Acc2_Loc2_3_14 | 15/03/2014 |
| 18 | 3 | 2 | Acc2_Loc3_3_14 | 15/03/2014 |
| 19 | 1 | 1 | Acc1_Loc1_4_14 | 15/04/2014 |
| 20 | 2 | 1 | Acc1_Loc2_4_14 | 15/04/2014 |
| 21 | 3 | 1 | Acc1_Loc3_4_14 | 15/04/2014 |
| 22 | 1 | 2 | Acc2_Loc1_4_14 | 15/04/2014 |
| 23 | 2 | 2 | Acc2_Loc2_4_14 | 15/04/2014 |
| 24 | 3 | 2 | Acc2_Loc3_4_14 | 15/04/2014 |
| 25 | 1 | 1 | Acc1_Loc1_5_14 | 15/05/2014 |
| 26 | 2 | 1 | Acc1_Loc2_5_14 | 15/05/2014 |
| 27 | 3 | 1 | Acc1_Loc3_5_14 | 15/05/2014 |
| 28 | 1 | 2 | Acc2_Loc1_5_14 | 15/05/2014 |
| 29 | 2 | 2 | Acc2_Loc2_5_14 | 15/05/2014 |
| 30 | 3 | 2 | Acc2_Loc3_5_14 | 15/05/2014 |
+----+---------------+---------------+----------------+------------------+
Acc1_Loc1_1_14 resembles RSC for LocationA of AccountA for Jan 2014.
I need to get a output as below from tblRSCMaster.
+---------------+---------------+----------------+------------------+
| LocId | AccId | RSCNo | DateOfAddition |
+---------------+---------------+----------------+------------------+
| 1 | 1 | Acc1_Loc1_3_14 | 15/03/2014 |
| 1 | 1 | Acc1_Loc1_4_14 | 15/04/2014 |
| 1 | 1 | Acc1_Loc1_5_14 | 15/05/2014 |
| 2 | 1 | Acc1_Loc2_3_14 | 15/03/2014 |
| 2 | 1 | Acc1_Loc2_4_14 | 15/04/2014 |
| 2 | 1 | Acc1_Loc2_5_14 | 15/05/2014 |
| 3 | 1 | Acc1_Loc3_3_14 | 15/03/2014 |
| 3 | 1 | Acc1_Loc3_4_14 | 15/04/2014 |
| 3 | 1 | Acc1_Loc3_5_14 | 15/05/2014 |
+---------------+---------------+----------------+------------------+
Each account has multiple locations and each location has multiple RSCs.
I need to get last three RSCs for each location for AccountA.
I have tried the below query:
SELECT tblAccountwiseLocation.LocId,tblAccountwiseLocation.AccId,tblRSCMaster.RSCNo,tblRSCMaster.DateOfAddition FROM tblAccountwiseLocation
INNER JOIN tblRSCMaster ON tblAccountwiseLocation.LocId= tblRSCMaster.LocId
where tblRSCMaster.AccId=1
But not getting the proper output.
Please help me out.
Thank you all in advance.
You can wrap the existing query inside a common table expression, and use ROW_NUMBER() to get only the last 3 (by tblRSCMaster.DateOfAddition) entries per tblAccountwiseLocation.LocId.
WITH cte AS (
SELECT tblAccountwiseLocation.LocId,
tblAccountwiseLocation.AccId,
tblRSCMaster.RSCNo,
tblRSCMaster.DateOfAddition,
ROW_NUMBER() OVER (PARTITION BY tblAccountwiseLocation.LocId
ORDER BY tblRSCMaster.DateOfAddition DESC) rn
FROM tblAccountwiseLocation
INNER JOIN tblRSCMaster
ON tblAccountwiseLocation.LocId = tblRSCMaster.LocId
AND tblAccountwiseLocation.AccId = tblRSCMaster.AccId
WHERE tblRSCMaster.AccId=1
)
SELECT LocId, AccId, RSCNo, DateOfAddition
FROM cte
WHERE rn <= 3
ORDER BY LocId, AccId, DateOfAddition
An SQLfiddle to test with.
Is this what you need?
select m.*
from (select m.*, row_number() over (partition by accID
order by DateOfAddition desc) as seqnum
from tblRSCMaster
where m.locid = 1
) m
where seqnum <= 3
order by AccId, DateOfAddition;
I think you need to filter on the locid rather than on the AccId to get what you want.
i have table like this:
| ID | id_number | a | b |
| 1 | 1 | 0 | 215 |
| 2 | 2 | 28 | 8952 |
| 3 | 3 | 10 | 2000 |
| 4 | 1 | 0 | 215 |
| 5 | 1 | 0 |10000 |
| 6 | 3 | 10 | 5000 |
| 7 | 2 | 3 |90933 |
I want to sum a*b where id_number is same, what the query to get all value for every id_number? for example the result is like this :
| ID | id_number | result |
| 1 | 1 | 0 |
| 2 | 2 | 523455 |
| 3 | 3 | 70000 |
This is a simple aggregation query:
select id_number, sum(a*b)
from t
group by id_number
I'm not sure what the first column is for.