I need show sum col(item) under col with SQL code ? it's possible
Code item
---- ----
1 30
3 40
4 50
9 80
---- ----
Total 200
Use Rollup to get the summary row
SELECT CASE
WHEN Grouping(code) = 1 THEN 'Total'
ELSE Cast(code AS VARCHAR(50))
END,
Sum(item)
FROM Yourtable
GROUP BY code WITH rollup
DECLARE #Table1 TABLE
(Code int, item int)
;
INSERT INTO #Table1
(Code, item)
VALUES
(1, 30),
(3, 40),
(4, 50),
(9, 80)
;
Script :
select Code , sum(item)item
from #Table1
group by GROUPING SETS((Code) , ())
order by Code DESC
select * from (select * from #Table1
union
select null, sum(item) item from #Table1)a
order by item
Select
Code,
item
from
# table_name
Union All
select
Null,
sum(item)item
from
# table_name
As we are using union all so distinct and order by operation will be saved.
Related
I've two database tables, one called "Headers" and one called "Rows".
The structure is:
Header: IDPK | Description
Row: IDPK | IDPK_Header | Item_ID | Qty
I need to do a query that says: "From a Header, IDPK find another header that have the same number of rows and the same item ID and quantity".
For example:
Header Rows
IDPK Description IDPK Item_ID Qty
1 'Test1' 1 'A' 10
1 'Test1' 2 'B' 20
2 'Test2' 3 'A' 10
2 'Test2' 4 'B' 20
3 'Test3' 5 'A' 5
3 'Test3' 6 'B' 20
4 'Test4' 7 'A' 10
Header Test1 match Test2 but not Test3 and Test4
The problem is that the number of rows must be exactly the same. I try with ALL operator but without luck.
How I can do the query with an eye for the performance? The two tables can be very huge (~500.000 records).
Assuming there are no duplicates:
with r as (
select r.*, count(*) over (partition by idpk_header) as num_items
from rows r
)
select r1.idpk_header, r2.idpk_header
from r r1 join
r r2
on r1.item_id = r1.item_id and r2.qty = r1.qty and r2.num_items = r1.num_items
group by r1.idpk_header, r2.idpk_header, r1.num_items
having count(*) = r1.num_items;
Basically, this does a self-join on the items, so you only get matches. The on validates that the two have the same number of items. And the having guarantees that all match.
Note: This version returns each match of the header to itself. That is a nice check. You can of course filter this out in the on or a where clause.
If you do have duplicate items, you can simply replace r with:
select idpk_header, item_id, sum(qty) as qty,
count(*) over (partition by idpk_header) as num_items
from rows r
group by idpk_header, item_id;
I woul suggest using a forxml query in order to create the list of items per IDPK. Next I would search for matching item lists and quantities. See following example:
DECLARE #Headers TABLE(
IDPK INT,
Description NVARCHAR(100)
)
DECLARE #Rows TABLE(
IDPK INT,
ITEMID NVARCHAR(1),
Qty INT
)
INSERT INTO #Headers VALUES
(1, 'Test1'),
(2, 'Test2'),
(3, 'Test3'),
(4, 'Test4'),
(5, 'Test5')
INSERT INTO #Rows VALUES
(1, 'A', 10),
(1, 'B', 20),
(2, 'A', 10),
(2, 'B', 20),
(3, 'A', 5 ),
(3, 'B', 20),
(4, 'C', 10),
(5, 'A', 10),
(5, 'C', 20)
;
WITH cteHeaderRows AS(
SELECT IDPK
,ItemIDs=STUFF(
(
SELECT ',' + CAST(ITEMID AS VARCHAR(MAX))
FROM #Rows t2
WHERE t2.IDPK = t1.IDPK
ORDER BY ITEMID, QTY
FOR XML PATH('')
),1,1,''
)
,Qtys=STUFF(
(
SELECT ',' + CAST(Qty AS VARCHAR(MAX))
FROM #Rows t2
WHERE t2.IDPK = t1.IDPK
ORDER BY ITEMID, QTY
FOR XML PATH('')
),1,1,''
)
FROM #Rows t1
GROUP BY IDPK
),
cteFilter AS(
SELECT h1.IDPK AS IDPK1, h2.IDPK AS IDPK2
FROM cteHeaderRows h1
JOIN cteHeaderRows h2 ON h1.IDPK != h2.IDPK AND h1.ItemIDs = h2.ItemIDs AND h2.Qtys = h1.Qtys
)
SELECT DISTINCT h.IDPK, h.Description, r.ItemID, r.Qty
FROM #Headers h
JOIN cteFilter f ON f.IDPK1 = h.IDPK
JOIN #Rows r ON r.IDPK = f.IDPK1
ORDER BY 1,3,4
I am sure this is a quick one, but tried everything, well apart from the answer. I have a pivot script which works fine, apart from the result in the columns, I need to divide by 100. So result / 100
Script is
SELECT
USERID AS UserId,APPOINTMENTDATE,
isnull ([1],0) as'other',isnull ([2],0) as 'Medicare'
FROM
(SELECT invoices.USERID, APPOINTMENTDATE,
[total],PAYERCODE,users.LOCATIONID
FROM APPOINTMENTS
where
APPOINTMENTDATE between '2017-01-22' and '2017-01-23'
) AS SourceTable
PIVOT
(
Sum(total)
FOR PAYERCODE IN ([1], [2])
) AS PivotTable;
So what I would like to do is :
Sum(total) change to something like Sum(total/100)
Any thoughts..
Cheers
Added this sample as it works. Heres the fiddle: http://sqlfiddle.com/#!6/8eef1/1/0
The issue with your sample code is that you are trying to do a select on the table itself rather than the Pivot. You will need to define your columns inside your 'SourceTable' and then Pivot the PayerCode and then do your Select * FROM (Sourcetable Pivottable)
drop table TestingPivot
Create table TestingPivot
( Total INT,
Payercode INT,
LocationID INT,
UserID INT,
Name VARCHAR(100) )
Insert into TestingPivot values(100, 1, 1, 1, 'Ryan')
Insert into TestingPivot values(200, 2, 2, 2, 'Mike')
Insert into TestingPivot values(300, 3, 3, 3, 'John')
Select * from (
Select Total/100 as NewTotal, PayerCode, UserID, LocationID,
case when PayerCode = 1 then 'Other'
when PayerCode = 2 then 'Medicare'
else ''
end as Type
from TestingPivot
) as t
Pivot
(
Sum(NewTotal)
FOR PayerCode IN ("1","2")
) as P;
I'm trying to create result set with 3 columns. Each column coming from the summation of 1 Column of Table A but grouped by different ID's. Here's an overview of what I wanted to do..
Table A
ID Val.1
1 4
1 5
1 6
2 7
2 8
2 9
3 10
3 11
3 12
I wanted to create something like..
ROW SUM.VAL.1 SUM.VAL.2 SUM.VAL.3
1 15 21 33
I understand that I can not get this using UNION, I was thinking of using CTE but not quite sure with the logic.
You need conditional Aggregation
select 1 as Row,
sum(case when ID = 1 then Val.1 end),
sum(case when ID = 2 then Val.1 end),
sum(case when ID = 3 then Val.1 end)
From yourtable
You may need dynamic cross tab or pivot if number of ID's are not static
DECLARE #col_list VARCHAR(8000)= Stuff((SELECT ',sum(case when ID = '+ Cast(ID AS VARCHAR(20))+ ' then [Val.1] end) as [val.'+Cast(ID AS VARCHAR(20))+']'
FROM Yourtable
GROUP BY ID
FOR xml path('')), 1, 1, ''),
#sql VARCHAR(8000)
exec('select 1 as Row,'+#col_list +'from Yourtable')
Live Demo
I think pivoting the data table will yield the desired result.
IF OBJECT_ID('tempdb..#TableA') IS NOT NULL
DROP TABLE #TableA
CREATE TABLE #TableA
(
RowNumber INT,
ID INT,
Value INT
)
INSERT #TableA VALUES (1, 1, 4)
INSERT #TableA VALUES (1, 1, 5)
INSERT #TableA VALUES (1, 1, 6)
INSERT #TableA VALUES (1, 2, 7)
INSERT #TableA VALUES (1, 2, 8)
INSERT #TableA VALUES (1, 2, 9)
INSERT #TableA VALUES (1, 3, 10)
INSERT #TableA VALUES (1, 3, 11)
INSERT #TableA VALUES (1, 3, 12)
-- https://msdn.microsoft.com/en-us/library/ms177410.aspx
SELECT RowNumber, [1] AS Sum1, [2] AS Sum2, [3] AS Sum3
FROM
(
SELECT RowNumber, ID, Value
FROM #TableA
) a
PIVOT
(
SUM(Value)
FOR ID IN ([1], [2], [3])
) AS p
This technique works if the ids you are seeking are constant, otherwise I imagine some dyanmic-sql would work as well if changing ids are needed.
https://msdn.microsoft.com/en-us/library/ms177410.aspx
My script is as below
CREATE TABLE #t (Id int, Name varchar(10))
INSERT INTO #t VALUES (1, 'A')
INSERT INTO #t VALUES (1, 'B')
INSERT INTO #t VALUES (1, 'C')
INSERT INTO #t VALUES (1, 'D')
INSERT INTO #t VALUES (2, 'E')
SELECT COUNT(0)FROM (SELECT COUNT(0) FROM #t GROUP BY Id) a
but I am getting an error
Msg 8155, Level 16, State 2, Line 5
No column name was specified for column 1 of 'A'.
When you use a subquery, all the columns need to given names:
SELECT COUNT(0)
FROM (SELECT COUNT(0) as cnt FROM #t GROUP BY Id
) a;
However, a simpler way to write this is:
SELECT COUNT(DISTINCT id)
FROM #t;
Actually, this isn't exactly the same. Your version will count NULL values but this does not. The exact equivalent is:
SELECT COUNT(DISTINCT id) + MAX(CASE WHEN id IS NULL THEN 1 ELSE 0 END)
FROM #t;
Suppose I have this table [Table1]
Name Mark
------- ------
ABC 10
DEF 10
GHI 10
JKL 20
MNO 20
PQR 30
What should be my SQL statement to retrieve a record that looks like this:
(group by [mark]).
I have done the 1 and 2 columns but don't know how to accomplish the third column (concat the [name] with the same [mark])
mark count names
---- ----- -----------
10 3 ABC,DEF,GHI
20 2 JKL,MNO
30 1 PQR
I'm using Microsoft SQL.
Please help. Thanks
If MS SQL 2005 or higher.
declare #t table([name] varchar(max), mark int)
insert #t values ('ABC', 10), ('DEF', 10), ('GHI', 10),
('JKL', 20), ('MNO', 20), ('PQR', 30)
select t.mark, COUNT(*) [count]
,STUFF((
select ',' + [name]
from #t t1
where t1.mark = t.mark
for xml path(''), type
).value('.', 'varchar(max)'), 1, 1, '') [values]
from #t t
group by t.mark
Output:
mark count values
----------- ----------- --------------
10 3 ABC,DEF,GHI
20 2 JKL,MNO
30 1 PQR
Here's a performance-related answer!
http://jerrytech.blogspot.com/2010/04/tsql-concatenate-strings-1-2-3-and.html
Using XML functions in a large query is a performance killer.
Using a CTE is a performance superstar.
Check out the link, it will explain how.
I admit the work to accomplish it is more.
But the result is milliseconds over millions of rows.
polishchuks solution is more elegant, but this is basically the same thing, we just deal with the trailing comma differently.
CREATE TABLE #Marks(Name nchar(3), Mark int)
INSERT INTO #Marks
SELECT 'ABC', 10 UNION ALL
SELECT 'DEF', 10 UNION ALL
SELECT 'GHI', 10 UNION ALL
SELECT 'JKL', 20 UNION ALL
SELECT 'MNO', 20 UNION ALL
SELECT 'PQR', 30
SELECT
mark,
[count],
CASE WHEN Len(Names) > 0 THEN LEFT(Names, LEN(Names) -1) ELSE '' END names
FROM
(
SELECT
Mark,
COUNT(Mark) AS [count],
(
SELECT DISTINCT
Name + ', '
FROM
#Marks M1
WHERE M1.Mark = M2.Mark
FOR XML PATH('')
) Names
FROM #Marks M2
GROUP BY Mark
) M
Loosely based on Itzik Ben-Gan, Inside Microsoft SQL Server 2005: T-SQL Programming, p. 215:
IF OBJECT_ID('dbo.Table1') IS NOT NULL
DROP TABLE dbo.Table1 ;
GO
CREATE TABLE dbo.Table1 ( Name VARCHAR(10), Mark INT ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'ABC', 10 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'DEF', 10 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'GHI', 10 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'JKL', 20 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'MNO', 20 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'PQR', 30 ) ;
WITH DelimitedNames AS
(
SELECT Mark, T2.Count,
( SELECT Name + ',' AS [text()]
FROM dbo.Table1 AS T1
WHERE T1.Mark = T2.Mark
ORDER BY T1.Mark
FOR XML PATH('')) AS Names
FROM ( SELECT Mark, COUNT(*) AS Count FROM dbo.Table1 GROUP BY Mark ) AS T2
)
SELECT Mark, Count, LEFT(Names, LEN(NAMES) - 1) AS Names
FROM DelimitedNames ;