Below is my table data
Mat Phy Chem
20 30 40
25 35 35
45 30 30
45 40 35
I want to retrieve top 3 max rows of all the three columns in a single row.
O/P
Mat Phy Chem
45 40 40
25 35 35
20 30 30
I have used below query but was unsuccessful, please help...
Select distinct top 3 max(mat) from studata group by mat order by max(mat) desc
Union all
Select distinct top 3 max(phy) from studata group by phy order by max(phy) desc
Union all
Select distinct top 3 max(chem) from studata group by chem order by max(chem) desc
WITH q AS
(
SELECT *,
ROW_NUMBER() OVER (ORDER BY mat DESC) AS rn_mat,
ROW_NUMBER() OVER (ORDER BY phy DESC) AS rn_phy,
ROW_NUMBER() OVER (ORDER BY chem DESC) AS rn_chem
FROM mytable
)
SELECT q_mat.mat, q_phy.phy, q_chem.chem
FROM q q_mat
JOIN q q_phy
ON q_phy.rn_phy = q_mat.rn_mat
JOIN q q_chem
ON q_chem.rn_chem = q_phy.rn_phy
WHERE q_mat.rn_mat <= 3
Does this work?
select distinct top 3 Mat
from studata
order by Mat desc
select distinct top 3 Phy
from studata
order by Phy desc
select distinct top 3 Chem
from studata
order by Chem desc
The reason you're probably getting a problem is because max is a function (it will only ever return 1 thing) so Select distinct top 3 max(mat) is nonsense.
Related
I have the following query
select S.id, X.id, 15,15,1 from schema_1.tbl_2638 S
JOIN schema_1.tbl_2634_customid X on S.field_1=x.fullname
That returns the following results, where you can see the first column is duplicated on matches to the 2nd table.
1 1 15 15 1
2 3 15 15 1
2 2 15 15 1
3 5 15 15 1
3 4 15 15 1
I'm trying to get a query that would just give me a single row per 1st ID, and the min value from 2nd ID. So I want a result that would be:
1 1 15 15 1
2 2 15 15 1
3 4 15 15 1
I'm a little rust on my SQL skills, how would I write the query to provide the above result?
From your result you can do,this to achieve your result, for much more compicated structures, you can always take a look at window fucntions
select S.id, MIN(X.id) x_id, 15,15,1 from schema_1.tbl_2638 S
JOIN schema_1.tbl_2634_customid X on S.field_1=x.fullname
GROUP BY 1,3,4,5
window function can be used, need always a outer SELECT
SELECT
s_id,x_idm a,b,c
FROM
(select S.id as s_id, X.id as x_id, 15 a ,15 b,1 c
, ROW_NUMBER() OVER (PARTITION BY S.id ORDER BY X.id ASC) rn
from schema_1.tbl_2638 S
JOIN schema_1.tbl_2634_customid X on S.field_1=x.fullname)
WHERE rn = 1
Or as CTE
WITH CTE as (select S.id as s_id, X.id as x_id, 15 a ,15 b,1 c
, ROW_NUMBER() OVER (PARTITION BY S.id ORDER BY X.id ASC) rn
from schema_1.tbl_2638 S
JOIN schema_1.tbl_2634_customid X on S.field_1=x.fullname)
SELECT s_id,x_id,a,b,c FROM CTE WHERE rn = 1
I have a table employee which is having following structure:
Id. Mid Salary
1 20 200
2 20 3000
3 30 200
4 34 4000
5 30 300
6 30 400
1 23 440
1 24 333
2 21 3
I want to get result like:
Id Mid
1 3
You can try below - using top with ties and aggregation
select top 1 with ties id, count(mid) as Mid
from table
group by id
order by count(mid) desc
use top 1
select top 1 id,count(*) as cnt
from table
group by id
order by cnt desc
if you need ties then use with ties
select top 1 with ties id,count(*) as cnt
from table
group by id
order by cnt desc
I'm trying to get top 3 most profitable UserIDs in each country in one table using sqlite. I'm not sure where to use LIMIT 3.
Here is the table I have:
Country | UserID | Profit
US 1 100
US 12 98
US 13 10
US 5 8
US 2 5
IR 9 95
IR 3 90
IR 8 70
IR 4 56
IR 15 40
the result should look like this:
Country | UserID | Profit
US 1 100
US 12 98
US 13 10
IR 9 95
IR 3 90
IR 8 70
One pretty simple method is:
select t.*
from t
where t.profit >= (select t2.profit
from t t2
where t2.country = t.country
order by t2.profit desc
limit 1 offset 2
);
This assumes at least three records for each country. You can get around that with coalesce():
select t.*
from t
where t.profit >= coalesce((select t2.profit
from t t2
where t2.country = t.country
order by t2.profit desc
limit 1 offset 2
), t.profit
);
Since SQLite doesn't support windows function, so you can write a subquery be a seqnum by Country, then get top 3
You can try this query.
select t.Country,t.UserID,t.Profit
from(
select t.*,
(select count(*)
from T t2
where t2.Country = t.Country and t2.Profit >= t.Profit
) as seqnum
from T t
)t
where t.seqnum <=3
sqlfiddle:https://www.db-fiddle.com/f/tmNhRLGG2oKqCKXJEDsjfe/0
LIMIT won't be usefull as it applies to a whole result set.
I would create an auxiliary column "CountryRank" like this:
SELECT *, (SELECT COUNT() FROM Data AS d WHERE d.Country=Data.Country AND d.Profit>Data.Country)+1 AS CountryRank
FROM Data;
And query on that result:
SELECT Country, UserID, Profit
FROM (
SELECT *, (SELECT COUNT() FROM Data AS d WHERE d.Country=Data.Country AND d.Profit>Data.Profit)+1 AS CountryRank FROM Data)
WHERE CountryRank<=3
ORDER BY Country, CountryRank;
I am using SQL Server 2008 R2 and have a structure as below:
create table #temp( deptid int, regionid int)
insert into #temp
select 15000, 50
union
select 15100, 51
union
select 15200, 50
union
select 15300, 52
union
select 15400, 50
union
select 15500, 51
union
select 15600, 52
select deptid, regionid, RANK() OVER(PARTITION BY regionid ORDER BY deptid) AS 'RANK',
ROW_NUMBER() OVER(PARTITION BY regionid ORDER BY deptid) AS 'ROW_NUMBER',
DENSE_RANK() OVER(PARTITION BY regionid ORDER BY deptid) AS 'DENSE_RANK'
from #temp
drop table #temp
And output currently is as below:
deptid regionid RANK ROW_NUMBER DENSE_RANK
--------------------------------------------------
15000 50 1 1 1
15200 50 2 2 2
15400 50 3 3 3
15100 51 1 1 1
15500 51 2 2 2
15300 52 1 1 1
15600 52 2 2 2
My requirement however is to row_number over regionid column but by grouping and not row by row. To explain better, below is my desired result set.
deptid regionid RN
-----------------------
15000 50 1
15200 50 1
15400 50 1
15100 51 2
15500 51 2
15300 52 3
15600 52 3
Please let me know if my question is unclear. Thanks.
Use dense_rank() over (order by regionid) to get the expected result.
select deptid, regionid,
DENSE_RANK() OVER( ORDER BY regionid) AS 'DENSE_RANK'
from #temp
Partitioning within a rank/row_number window function will assign numbers within the partitions, so you don't need to use a partition on regionid to order the regionids themselves.
I could need some help with a SQL statement. So I have the table "cont" which looks like that:
cont_id name weight
----------- ---------- -----------
1 1 10
2 1 20
3 2 40
4 2 15
5 2 20
6 3 15
7 3 40
8 4 60
9 5 10
10 6 5
I then summed up the weight column and grouped it by the name:
name wsum
---------- -----------
2 75
4 60
3 55
1 30
5 10
6 5
And the result should have a accumulated column and should look like that:
name wsum acc_wsum
---------- ----------- ------------
2 75 75
4 60 135
3 55 190
1 30 220
5 10 230
6 5 235
But I didn't manage to get the last statement working..
edit: this Statement did it (thanks Gordon)
select t.*,
(select sum(wsum) from (select name, SUM(weight) wsum
from cont
group by name)
t2 where t2.wsum > t.wsum or (t2.wsum = t.wsum and t2.name <= t.name)) as acc_wsum
from (select name, SUM(weight) wsum
from cont
group by name) t
order by wsum desc
So, the best way to do this is using cumulative sum:
select t.*,
sum(wsum) over (order by wsum desc) as acc_wsum
from (<your summarized query>) t
The order by clause makes this cumulative.
If you don't have that capability (in SQL Server 2012 and Oracle), a correlated subquery is an easy way to do it, assuming the summed weights are distinct values:
select t.*,
(select sum(wsum) from (<your summarized query>) t2 where t2.wsum >= t.wsum) as acc_wsum
from (<your summarized query>) t
This should work in all dialects of SQL. To work with situations where the accumulated weights might have duplicates:
select t.*,
(select sum(wsum) from (<your summarized query>) t2 where t2.wsum > t.wsum or (t2.wsum = t.wsum and t2.name <= t.name) as acc_wsum
from (<your summarized query>) t
try this
;WITH CTE
AS
(
SELECT *,
ROW_NUMBER() OVER(ORDER BY wsum) rownum
FROM #table1
)
SELECT
c1.name,
c1.wsum,
acc_wsum= (SELECT SUM(c2.wsum)
FROM cte c2
WHERE c2.rownum <= c1.rownum)
FROM CTE c1;
or you can join instead of using subquery
;WITH CTE
AS
(
SELECT *,
ROW_NUMBER() OVER(ORDER BY usercount) rownum
FROM #table1
)
SELECT
c1.name,
c1.wsum,
acc_wsum= SUM(c2.wsum)
FROM CTE c1
INNER JOIN CTE c2 ON c2.rownum <= c1.rownum
GROUP BY c1.name, c1.wsum;