I have a task to show the query result like below:
Table 1 item show one time and Table 2 table have related record than show that details.
Kindly look below example
Table 1:
ItemNumber Retail_Price IsItemSet
5000 10000 Y
5001 5000 N
Table 2:
ItemNumber item_DetailsNo Retail_Price
5000 10 2000
5000 11 8000
I want result like below:
ItemNumber Retail_Price
5000 10000
5000 8000
5000 2000
5001 5000
Result in a single query.
use UNION
select ItemNumber,Retail_Price from table1
union
Select ItemNumber,Retail_Price from table2
order by ItemNumber,Retail_Price desc
Output
Try this -
select ItemNumber, Retail_Price
From Table1
Union All
select ItemNumber, Retail_Price
From Table2
Order by ItemNumber, Retail_Price Desc
create table #Table1 (ItemNumber int, Retail_Price int, IsItemSet varchar(4))
insert into #Table1 values
(5000,10000,'Y'),(5001, 5000,'N')
create table #Table2 (ItemNumber int, item_DetailsNo int, Retail_Price int)
insert into #Table2 values
(5000,10,2000),(5000,11,8000)
select ItemNumber, Retail_Price from #Table1
UNION
select ItemNumber,Retail_Price from #Table2
drop table #Table1
drop table #Table2
OUTPUT
ItemNumber Retail_Price
5000 2000
5000 8000
5000 10000
5001 5000
Related
I have a scenario where I need to convert columns of table to rows
eg -
table - stocks:
ScripName ScripCode Price
-----------------------------------------
20 MICRONS 533022 39
I need to represent the table in the following format, but I just need this kind of representation for single row
ColName ColValue
-----------------------------
ScripName 20 MICRONS
ScripCode 533022
Price 39
so that I can directly bind the data to the datalist control.
Sound like you want to UNPIVOT
Sample from books online:
--Create the table and insert values as portrayed in the previous example.
CREATE TABLE pvt (VendorID int, Emp1 int, Emp2 int,
Emp3 int, Emp4 int, Emp5 int);
GO
INSERT INTO pvt VALUES (1,4,3,5,4,4);
INSERT INTO pvt VALUES (2,4,1,5,5,5);
INSERT INTO pvt VALUES (3,4,3,5,4,4);
INSERT INTO pvt VALUES (4,4,2,5,5,4);
INSERT INTO pvt VALUES (5,5,1,5,5,5);
GO
--Unpivot the table.
SELECT VendorID, Employee, Orders
FROM
(SELECT VendorID, Emp1, Emp2, Emp3, Emp4, Emp5
FROM pvt) p
UNPIVOT
(Orders FOR Employee IN
(Emp1, Emp2, Emp3, Emp4, Emp5)
)AS unpvt;
GO
Returns:
VendorID Employee Orders
---------- ---------- ------
1 Emp1 4
1 Emp2 3
1 Emp3 5
1 Emp4 4
1 Emp5 4
2 Emp1 4
2 Emp2 1
2 Emp3 5
2 Emp4 5
2 Emp5 5
see also: Unpivot SQL thingie and the unpivot tag
declare #T table (ScripName varchar(50), ScripCode varchar(50), Price int)
insert into #T values ('20 MICRONS', '533022', 39)
select
'ScripName' as ColName,
ScripName as ColValue
from #T
union all
select
'ScripCode' as ColName,
ScripCode as ColValue
from #T
union all
select
'Price' as ColName,
cast(Price as varchar(50)) as ColValue
from #T
select 'ScriptName', scriptName from table
union all
select 'ScriptCode', scriptCode from table
union all
select 'Price', price from table
As an alternative:
Using CROSS APPLY and VALUES performs this operation quite simply and efficiently with just a single pass of the table (unlike union queries that do one pass for every column)
SELECT
ca.ColName, ca.ColValue
FROM YOurTable
CROSS APPLY (
Values
('ScripName' , ScripName),
('ScripCode' , ScripCode),
('Price' , cast(Price as varchar(50)) )
) as CA (ColName, ColValue)
Personally I find this syntax easier than using unpivot.
NB: You must take care that all source columns are converted into compatible types for the single value column
DECLARE #TABLE TABLE
(RowNo INT,ScripName VARCHAR(10),ScripCode VARCHAR(10)
,Price VARCHAR(10))
INSERT INTO #TABLE VALUES
(1,'20 MICRONS ','533022','39')
SELECT ColumnName,ColumnValue from #Table
Unpivot(ColumnValue For ColumnName IN (ScripName,ScripCode,Price)) AS H
i solved the query this way
SELECT
ca.ID, ca.[Name]
FROM [Emp2]
CROSS APPLY (
Values
('ID' , cast(ID as varchar)),
('[Name]' , Name)
) as CA (ID, Name)
output look like
ID Name
------ --------------------------------------------------
ID 1
[Name] Joy
ID 2
[Name] jean
ID 4
[Name] paul
CREATE TABLE #ORIGINAL
(
COUNTRY VARCHAR(50),
MALE_CRICKETER VARCHAR(50),
FEMALE_CRICKETER VARCHAR(50),
MALE_STAR VARCHAR(50),
FEMALE_STAR VARCHAR(50),
)
select * from #ORIGINAL
SELECT COUNTRY, ca.GENDER, ca.STAR, ca.CRICKETR
FROM #ORIGINAL
CROSS APPLY (
Values
('M', MALE_CRICKETER, MALE_STAR),
('F', FEMALE_CRICKETER, FEMALE_STAR)
) as CA (GENDER, CRICKETR, STAR)
Table 1
bln thn qty1
1 2014 10
1 2014 20
2 2014 30
3 2014 40
2 2014 50
4 2014 60
Table 2
bln thn qty2
3 2014 200
5 2014 400
2 2014 100
2 2014 500
4 2014 300
6 2014 600
New View
bln thn qty1 qty2
1 2014 30 0
2 2014 80 600
3 2014 40 200
4 2014 60 300
5 2014 0 400
6 2014 0 600
From 2 tables at top, i'd like to create a view like table in the bottom.
Anyone would like to help ? :D thanks
I have made same Select as #JohnBevan but with some changes (not using Grouping on main select, also he forgot to name inner select columns)
DECLARE #table1 TABLE (bln INT, thn INT, qty1 INT)
INSERT INTO #table1 SELECT 1,2014,10
INSERT INTO #table1 SELECT 1,2014,20
INSERT INTO #table1 SELECT 2,2014,30
INSERT INTO #table1 SELECT 3,2014,40
INSERT INTO #table1 SELECT 2,2014,50
INSERT INTO #table1 SELECT 4,2014,60
DECLARE #table2 TABLE (bln INT, thn INT, qty2 INT)
INSERT INTO #table2 SELECT 3,2014,200
INSERT INTO #table2 SELECT 5,2014,400
INSERT INTO #table2 SELECT 2,2014,100
INSERT INTO #table2 SELECT 2,2014,500
INSERT INTO #table2 SELECT 4,2014,300
INSERT INTO #table2 SELECT 6,2014,600
CREATE VIEW NewView AS
SELECT COALESCE(T1.bln, T2.bln) AS bln
, COALESCE(T1.thn, T2.thn) AS thn
, COALESCE(T1.qty1, 0) AS qty1
, COALESCE(T2.qty2, 0) AS qty2
FROM (
SELECT bln, thn, SUM(qty1) AS qty1
FROM #table1
GROUP BY bln, thn
) AS T1
FULL JOIN (
SELECT bln, thn, SUM(qty2) AS qty2
FROM #table2
GROUP BY bln, thn
) AS T2
ON T1.bln = T2.bln
AND T1.thn = T2.thn
SQLFiddle: http://sqlfiddle.com/#!6/a3e2b/1
--create a new view called newview
create view NewView as
--if table1 has a record for this bln use it; otherwise take table 2's value
select coalesce(t1.bln,t2.bln) bln
--same for thn
, coalesce(t1.thn,t2.thn) thn
--take the sum of qty1 calculated below (max used just because we need an aggregate - they're all the same
, max(t1.qty1) qty1
--same for qty2
, max(t2.qty2) qty2
--select from the tables summing the quantities here (so we have a 1:1 match on the join / don't have to sum for every match)
from (select bln, thn, sum(qty1) as qty1 from table1 group by bln, thn) t1
full outer join (select bln, thn, sum(qty2) as qty2 from table2 group by bln, thn) t2
on t1.bln = t2.bln
and t1.thn = t2.thn
--group by the common fields so we get 1 record per value combination
group by t1.bln, t2.bln, t1.thn, t2.thn
SQLFiddle: http://sqlfiddle.com/#!6/708da/1
i'm stuck with a query and i don't want to use a while loop or another nasty method to do this.
Here's the situation:
I've got a query that gets some data, and i need to calculate a column based on 2 other columns.
My results are as follow:
Type | Customer | Cycle | Amount | Expiration | Row_Number (Partition By Customer, Cycle)
So, my row_number column needs to "group" customers and cycles, here's a Fiddle to better understand it
Here's an example:
As you can see, iteration column is correctly applied as far as i know what row_number does.
But i need to do this:
Is there a way to do this with Row_Number ?
or should i need store the data in a temp table, loop through it and update this ITERATION column?
Maybe a CTE?
Any help on this will be highly appreciated. Thanks!
just run this as new query, replace what you need in your query...
WITH T(StyleID, ID)
AS (SELECT 1,1 UNION ALL
SELECT 1,1 UNION ALL
SELECT 1,1 UNION ALL
SELECT 1,2)
SELECT *,
RANK() OVER(PARTITION BY StyleID ORDER BY ID) AS 'RANK',
ROW_NUMBER() OVER(PARTITION BY StyleID ORDER BY ID) AS 'ROW_NUMBER',
DENSE_RANK() OVER(PARTITION BY StyleID ORDER BY ID) AS 'DENSE_RANK'
FROM T
regards,
Valentin
You could use DENSE_RANK function instead of ROW_NUMBER.
DECLARE #MyTable TABLE
(
Customer NVARCHAR(100) NOT NULL,
[Cycle] SMALLINT NOT NULL
);
INSERT #MyTable VALUES ('C1', 2010);
INSERT #MyTable VALUES ('C1', 2010);
INSERT #MyTable VALUES ('C1', 2011);
INSERT #MyTable VALUES ('C1', 2012);
INSERT #MyTable VALUES ('C1', 2012);
INSERT #MyTable VALUES ('C1', 2012);
INSERT #MyTable VALUES ('C2', 2010);
INSERT #MyTable VALUES ('C2', 2010);
SELECT t.Customer, t.[Cycle],
DENSE_RANK() OVER(PARTITION BY t.Customer ORDER BY t.[Cycle]) AS Rnk
FROM #MyTable t
ORDER BY Customer, [Cycle];
Results:
Customer Cycle Rnk
-------- ------ ---
C1 2010 1
C1 2010 1
C1 2011 2
C1 2012 3
C1 2012 3
C1 2012 3
C2 2010 1
C2 2010 1
SQL Fiddle
I have a scenario where I need to convert columns of table to rows
eg -
table - stocks:
ScripName ScripCode Price
-----------------------------------------
20 MICRONS 533022 39
I need to represent the table in the following format, but I just need this kind of representation for single row
ColName ColValue
-----------------------------
ScripName 20 MICRONS
ScripCode 533022
Price 39
so that I can directly bind the data to the datalist control.
Sound like you want to UNPIVOT
Sample from books online:
--Create the table and insert values as portrayed in the previous example.
CREATE TABLE pvt (VendorID int, Emp1 int, Emp2 int,
Emp3 int, Emp4 int, Emp5 int);
GO
INSERT INTO pvt VALUES (1,4,3,5,4,4);
INSERT INTO pvt VALUES (2,4,1,5,5,5);
INSERT INTO pvt VALUES (3,4,3,5,4,4);
INSERT INTO pvt VALUES (4,4,2,5,5,4);
INSERT INTO pvt VALUES (5,5,1,5,5,5);
GO
--Unpivot the table.
SELECT VendorID, Employee, Orders
FROM
(SELECT VendorID, Emp1, Emp2, Emp3, Emp4, Emp5
FROM pvt) p
UNPIVOT
(Orders FOR Employee IN
(Emp1, Emp2, Emp3, Emp4, Emp5)
)AS unpvt;
GO
Returns:
VendorID Employee Orders
---------- ---------- ------
1 Emp1 4
1 Emp2 3
1 Emp3 5
1 Emp4 4
1 Emp5 4
2 Emp1 4
2 Emp2 1
2 Emp3 5
2 Emp4 5
2 Emp5 5
see also: Unpivot SQL thingie and the unpivot tag
declare #T table (ScripName varchar(50), ScripCode varchar(50), Price int)
insert into #T values ('20 MICRONS', '533022', 39)
select
'ScripName' as ColName,
ScripName as ColValue
from #T
union all
select
'ScripCode' as ColName,
ScripCode as ColValue
from #T
union all
select
'Price' as ColName,
cast(Price as varchar(50)) as ColValue
from #T
select 'ScriptName', scriptName from table
union all
select 'ScriptCode', scriptCode from table
union all
select 'Price', price from table
As an alternative:
Using CROSS APPLY and VALUES performs this operation quite simply and efficiently with just a single pass of the table (unlike union queries that do one pass for every column)
SELECT
ca.ColName, ca.ColValue
FROM YOurTable
CROSS APPLY (
Values
('ScripName' , ScripName),
('ScripCode' , ScripCode),
('Price' , cast(Price as varchar(50)) )
) as CA (ColName, ColValue)
Personally I find this syntax easier than using unpivot.
NB: You must take care that all source columns are converted into compatible types for the single value column
DECLARE #TABLE TABLE
(RowNo INT,ScripName VARCHAR(10),ScripCode VARCHAR(10)
,Price VARCHAR(10))
INSERT INTO #TABLE VALUES
(1,'20 MICRONS ','533022','39')
SELECT ColumnName,ColumnValue from #Table
Unpivot(ColumnValue For ColumnName IN (ScripName,ScripCode,Price)) AS H
i solved the query this way
SELECT
ca.ID, ca.[Name]
FROM [Emp2]
CROSS APPLY (
Values
('ID' , cast(ID as varchar)),
('[Name]' , Name)
) as CA (ID, Name)
output look like
ID Name
------ --------------------------------------------------
ID 1
[Name] Joy
ID 2
[Name] jean
ID 4
[Name] paul
CREATE TABLE #ORIGINAL
(
COUNTRY VARCHAR(50),
MALE_CRICKETER VARCHAR(50),
FEMALE_CRICKETER VARCHAR(50),
MALE_STAR VARCHAR(50),
FEMALE_STAR VARCHAR(50),
)
select * from #ORIGINAL
SELECT COUNTRY, ca.GENDER, ca.STAR, ca.CRICKETR
FROM #ORIGINAL
CROSS APPLY (
Values
('M', MALE_CRICKETER, MALE_STAR),
('F', FEMALE_CRICKETER, FEMALE_STAR)
) as CA (GENDER, CRICKETR, STAR)
I have the follwoing structure:
Emp PayDate Amount
1 11/23/2010 500
1 11/25/2010 -900
1 11/28/2010 1000
1 11/29/2010 2000
2 11/25/2010 2000
3 11/28/2010 -3000
2 11/28/2010 4000
3 11/29/2010 -5000
I need to get the following result if emp 1 is selected (top 3 dates and their corresponding vals - if they exist - 4th row is always ignored)
PayDate1 Amount1 Paydate2 Amount2 Paydate3 Amount3
11/23/2010 500 11/25/2010 -900 11/28/2010 1000
I need to get the following result if emp 2 is selected
Paydate1 Amount1 Paydate2 Amount2 Paydate3 Amount3
11/25/2010 2000 11/28/2010 4000 NULL NULL
I need to get the following result if emp 3 is selected
Paydate1 Amount1 Paydate2 Amount2 Paydate3 Amount3
11/28/2010 -3000 11/29/2010 -5000
To get the respective data in rows I can run the following query:
select top 3 Paydate, Amount from Table where Emp = #Emp
But how do I get result in a pivoted fashion?
There's an excellent article on Pivots with SQL Server 2005+ here.
CREATE TABLE dbo.Table1
(
Emp int,
PayDate datetime,
Amount int
)
GO
INSERT INTO dbo.Table1 VALUES (1, '11/23/2010',500)
INSERT INTO dbo.Table1 VALUES (1, '11/25/2010',-900)
INSERT INTO dbo.Table1 VALUES (1, '11/28/2010',1000)
INSERT INTO dbo.Table1 VALUES (1, '11/29/2010',2000)
INSERT INTO dbo.Table1 VALUES (2, '11/25/2010',2000)
INSERT INTO dbo.Table1 VALUES (3, '11/28/2010',-3000)
INSERT INTO dbo.Table1 VALUES (2, '11/28/2010',4000)
INSERT INTO dbo.Table1 VALUES (3, '11/29/2010',-5000)
;WITH cte AS
(SELECT Emp, PayDate, Amount, PayDateRowNumber
FROM
(SELECT Emp,
PayDate,
Amount,
ROW_NUMBER() OVER (PARTITION BY Emp ORDER BY PayDate) AS PayDateRowNumber
FROM Table1) AS RankedTable1
WHERE PayDateRowNumber < 4)
SELECT c1.Emp AS Emp, c1.PayDate AS PayDate1
,c1.Amount AS Amount1, c2.PayDate AS PayDate2
,c2.Amount AS Amount2, c3.PayDate AS PayDate3, c3.Amount AS Amount3
FROM cte c1
LEFT JOIN cte c2 ON c2.Emp = c1.Emp AND c2.PayDateRowNumber = 2
LEFT JOIN cte c3 ON c3.Emp = c2.Emp AND c3.PayDateRowNumber = 3
WHERE c1.PayDateRowNumber = 1
Output is:
Some caveats are that it won't aggregate amounts for the same employer/date (though can easily be changed). Also may want to change to review use of ROW_NUMBER() versus RANK() and DENSE_RANK() depending on your definition of "TOP 3"