I have a table like this:
Factory indexcode grade
200 1 95
200 2 100
5000 1 85
5000 3 90
How can I get this result?
Factory. 1 2 3
200 95 100 -
5000 85 - 90
The indexcode varies between 1 to 6.
You can try below -
select factorycode,pv.*
from tablename
pivot
(max(grade) for indexcode in ([1],[2],[3])) as pv
If your indexcodes are fixed (1-6) in that case you can use following PIVOT query.
SELECT *
FROM TABLE_NAME
PIVOT ( Max(grade)
FOR indexcode IN ( [1], [2], [3],[4],[5],[6]) ) pvt
If your index code values are not fixed and can take any value, in that case you can go for dynamic pivot like following.
DECLARE #cols AS NVARCHAR(max) = Stuff((SELECT DISTINCT ', ' + Quotename(indexcode)
FROM TABLE_NAME
FOR xml path(''), type).value('.', 'NVARCHAR(MAX)'), 1, 1, '');
DECLARE #query AS NVARCHAR(max) = ' SELECT *
FROM TABLE_NAME
PIVOT ( max(grade)
FOR indexcode IN ('+#cols+') ) pvt';
EXECUTE(#query)
DEMO
Related
I have a table pulling data, like:
ID FID Value
001 20 200
001 20 400
001 50 600
002 50 100
How do write a query to get a column for each row ID that would sum the Value's?
For example, I want to return the following:
ID 20 50
001 600 600
002 NULL 100
A pattern like this:
SELECT
ID,
SUM(CASE WHEN FID = 20 THEN Value END) as sum20,
SUM(CASE WHEN FID = 50 THEN Value END) as sum50 --extend by adding more CASE WHEN rows
FROM
table
GROUP BY ID
..has the advantage of working in databases that don't support PIVOT syntax.
If you'd like PIVOT syntax:
SELECT ID, [20], [50] --extend by providing more values in square brackets
FROM
table
PIVOT
(
SUM(Value)
FOR FID IN ([20], [50]) --extend by providing more values in square brackets
) pvt
If you have dynamic list of FID's you can use dynamic query as below:
Declare #cols1 varchar(max)
Declare #query nvarchar(max)
Select #cols1 = stuff((select Distinct ','+QuoteName(Fid) from #data for xml path('')),1,1,'')
Set #query = ' Select * from (
Select Id, [Fid], [Value] from #data ) a
pivot (sum([Value]) for [Fid] in (' + #cols1 + ') ) p '
Exec sp_executesql #query
Please help me to solve my below query -
I have the following data in my table-
Agent Variable Chandigarh NewDelhi
ABC Leads 102.00 10
ABC TotalTime 10.52 1
ABC RPH 22.79 22
ABC TotalRev 239.70 23
XYZ Leads 14.00 14
XYZ TotalTime 1.52 1
XYZ RPH 21.64 21
XYZ TotalRev 32.90 32
I want the solution like this
Agent Chandigarh_Leads Chandigarh_TotalTime Chandigarh_RPH Chandigarh_RPH_TotalRev NewDelhi_Leads .......
ABC 102.00 10.52 22.79 239.70 10 .......
XYZ 14 1.52 21.64 32.90 14 ............
FYI, I can have more states in columns, it has no limits it may be 10 or 20 or 5 etc. So i need result dynamic query. Please help me, is it possible without static query?
Dynamic SQL + pivoting:
DECLARE #sql nvarchar(max),
#columns nvarchar(max),
#col_to_cast nvarchar(max),
#col_unpvt nvarchar(max)
--This will give:
--,[Chandigarh_Leads],[Chandigarh_RPH]....[NewDelhi_TotalRev],[NewDelhi_TotalTime]
SELECT #columns = COALESCE(#columns,'')+',['+name+'_'+Variable +']'
FROM (
SELECT DISTINCT Variable
FROM #yourtable) v
CROSS JOIN (
SELECT name
FROM sys.columns
WHERE object_id = OBJECT_ID(N'#yourtable')
AND name not in ('Agent', 'Variable')
) c
ORDER BY c.name, v.Variable
--As columns while unpivoting must be same type we need to cast them in same datattype:
--This will give
--,CAST([Chandigarh] as float) as [Chandigarh],CAST([NewDelhi] as float) as [NewDelhi]
SELECT #col_to_cast = COALESCE(#col_to_cast,'')+',CAST(' + QUOTENAME(name)+ ' as float) as '+ QUOTENAME(name)
#col_unpvt = COALESCE(#col_unpvt,'') + ','+ QUOTENAME(name)
FROM sys.columns
WHERE object_id = OBJECT_ID(N'#yourtable')
AND name not in ('Agent', 'Variable')
SELECT #sql = N'
SELECT *
FROM (
SELECT Agent,
[Columns]+''_''+Variable as ColName,
[Values] as ColVal
FROM (
SELECT Agent,
Variable'+#col_to_cast+'
FROM #yourtable
) p
UNPIVOT (
[Values] FOR [Columns] IN ('+STUFF(#col_unpvt,1,1,'')+')
) unpvt
) t
PIVOT (
MAX(ColVal) FOR ColName IN ('+STUFF(#columns,1,1,'')+')
) pvt'
EXEC sp_executesql #sql
Output:
Agent Chandigarh_Leads Chandigarh_RPH Chandigarh_TotalRev Chandigarh_TotalTime NewDelhi_Leads NewDelhi_RPH NewDelhi_TotalRev NewDelhi_TotalTime
ABC 102 22,79 239,7 10,52 10 22 23 1
XYZ 14 21,64 32,9 1,52 14 21 32 1
I'm having trouble figuring this out. I've checked similar posts but they only have one column as pivoted as a row. While I need to pivot
I have the following query:
SELECT
Year([Date]) as Year
,SUM([Drop]) as [Drop]
,SUM([TicketsDistributed]) as [TicketsDistributed]
,SUM([TicketsSold]) as [TicketsSold]
,SUM([GrossTickets]) as [GrossTickets]
,SUM([GrossTickets])/SUM(TicketsSold) as 'Per Cap'
FROM [dbo].[Tickets]
group by [Date]
Which give me this result:
Year Drop TicketsDistributed TicketsSold GrossTickets Per Cap
2016 222 100 5000 4000.00 0.800000
2015 222 110 5000 4000.00 0.900000
2014 222 120 5000 4000.00 1.00000
And I would like the following:
2016 2015 2014
Drop 222 222 222
TicketsDistributed 100 110 120
TicketsSold 5000 5000 5000
GrossTickets 4000 4000 4000
Per Cap 0.8 0.9 1
Based on the suggested answer this is what I have so far but it's not working
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(Year(Date))
from [dbo].[SpringTrainings] t
cross apply
(
select SUM([Drop]) as [Drop]
,SUM([TicketsDistributed]) as [TicketsDistributed]
,SUM([TicketsSold]) as [TicketsSold]
,SUM([GrossTickets]) as [GrossTickets]
,SUM([GrossTickets])/SUM(TicketsSold) as PerCap
FROM [dbo].[SpringTrainings]
) c ([Drop],[TicketsDistributed],[TicketsSold],[GrossTickets],PerCap)
group by Year(Date)
order by Year(Date)
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT [Drop],[TicketsDistributed],[TicketsSold],[GrossTickets],PerCap,' + #cols + '
from
(
select SUM([Drop]) as [Drop]
,SUM([TicketsDistributed]) as [TicketsDistributed]
,SUM([TicketsSold]) as [TicketsSold]
,SUM([GrossTickets]) as [GrossTickets]
,SUM([GrossTickets])/SUM(TicketsSold) as PerCap
FROM [dbo].[SpringTrainings]
) x
pivot
(
max(Year([Date]))
for Year([Date]) in (' + #cols + ')
) p '
execute sp_executesql #query;
If you wish to keep using the pivot operator within T-SQL, then first you need to "unpivot" your existing query so you have Year, Label, and Value. While there is an unpivot operator in T-SQL personally I find using CROSS APPLY and VALUES to be much simpler and equally as fast (for more on his approach read this article by Brad Schultz), I particularly like it because I can visualize the result easily by the way I layout the value pairs.
SELECT
d.Year
, a.label
, a.value
FROM (
SELECT
YEAR([Date]) AS [Year]
, SUM([Drop]) AS [Drop]
, SUM([TicketsDistributed]) AS [TicketsDistributed]
, SUM([TicketsSold]) AS [TicketsSold]
, SUM([GrossTickets]) AS [GrossTickets]
, SUM([GrossTickets]) / SUM(TicketsSold) AS [PerCap]
FROM [dbo].[Tickets]
GROUP BY
[Year]
) AS t
CROSS APPLY ( /* now transform into 5 rows per year but just 1 value column */
VALUES
('Drop',t.Drop)
, ('TicketsDistributed',t.TicketsDistributed)
, ('TicketsSold',t.TicketsSold)
, ('GrossTickets',t.GrossTickets)
, ('PerCap',t.PerCap)
) AS a (label, value)
That query (above) replaces the derived table x in your dynamic SQL. Once the data has been massaged into that form the pivot looks way simpler:
) x
pivot
(
max([x.Value])
for [x.Year] in ([2014],[2015],[2016])
) p
For your #cols I would suggest something simple like this:
SELECT DISTINCT
QUOTENAME(Year([date]))
FROM [dbo].[Tickets]
TIP: if you need a way to order the rows, include that in the cross apply too, like this:
CROSS APPLY ( /* now transform into 5 rows per year but just 1 value column */
VALUES
(1, 'Drop',t.Drop)
, (2, 'TicketsDistributed',t.TicketsDistributed)
, (3, 'TicketsSold',t.TicketsSold)
, (4, 'GrossTickets',t.GrossTickets)
, (5, 'PerCap',t.PerCap)
) AS a (row_order, label, value)
and then that [row_order] can be used after the pivot is performed.
So the overall could look like this:
DECLARE #cols AS nvarchar(max)
, #query AS nvarchar(max)
SELECT #cols = STUFF((
SELECT DISTINCT
',' + QUOTENAME(YEAR([date]))
FROM [dbo].[Tickets]
FOR xml PATH (''), TYPE
)
.value('.', 'NVARCHAR(MAX)')
, 1, 1, '')
SET #query = 'SELECT [Year], [Label], '
+ #cols
+ ' FROM (
SELECT
d.Year
, a.label
, a.value
FROM (
SELECT
YEAR([Date]) AS [Year]
, SUM([Drop]) AS [Drop]
, SUM([TicketsDistributed]) AS [TicketsDistributed]
, SUM([TicketsSold]) AS [TicketsSold]
, SUM([GrossTickets]) AS [GrossTickets]
, SUM([GrossTickets]) / SUM(TicketsSold) AS [PerCap]
FROM [dbo].[Tickets]
GROUP BY
[Year]
) AS d
CROSS APPLY (
VALUES
(1,''Drop'',t.Drop)
, (2,''TicketsDistributed'',t.TicketsDistributed)
, (3,''TicketsSold'',t.TicketsSold)
, (4,''GrossTickets'',t.GrossTickets)
, (5,''PerCap'',t.PerCap)
) AS a (row_order,label,value)
) x
pivot
(
max([x.Value])
for [x.Year] in (' + #cols + ')
) p
ORDER BY [row_order]'
EXECUTE sp_executesql #query;
I have a table UTENSILS with 3 columns like this:
CLASS_NAME RANGE COUNT
---------------------------
pens 0-0.5 200
pencil 0-0.5 50
pens 0.5-1.0 300
pencil 0.5-1.0 40
pens 1.0-1.5 150
pencil 1.0-1.5 45
I want a query that displays the above table result as below:
RANGE Pens Pencils
------------------------------
0-0.5 200 50
0.5-1.0 300 40
1.0-1.5 150 45
Any ideas about this? Thanks in advance!
What you are trying to do is known as a PIVOT. This is when you transform data from rows into columns. Some databases have a PIVOT function that you can take advantage of but you did not specify which RDBMS.
If you do not have a PIVOT function then you can replicate the functionality using an aggregate function along with a CASE statement:
select `range`,
sum(case when class_name = 'pens' then `count` end) pens,
sum(case when class_name = 'pencil' then `count` end) pencils
from yourtable
group by `range`
See SQL Fiddle with Demo
Note: the backticks are for MySQL, if SQL Server then use a square bracket around range and count. These are used to escape the reserved words.
If you are working in an RDBMS that has a PIVOT function, then you can use the following:
select *
from
(
select class_name, [range], [count]
from yourtable
) src
pivot
(
sum([count])
for class_name in ([pens], [pencil])
) piv
See SQL Fiddle with Demo
Both will produce the same result:
| RANGE | PENS | PENCIL |
---------------------------
| 0-0.5 | 200 | 50 |
| 0.5-1.0 | 300 | 40 |
| 1.0-1.5 | 150 | 45 |
The above will work great if you have a known number of values for class_name, if you do not then, depending on your RDBMS there are ways to generate a dynamic version of this query.
In SQL Server a dynamic version will be similar to this:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(CLASS_NAME)
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT [range], ' + #cols + ' from
(
select CLASS_NAME, [RANGE], [COUNT]
from yourtable
) x
pivot
(
sum([COUNT])
for CLASS_NAME in (' + #cols + ')
) p '
execute(#query)
See SQL Fiddle with Demo
This pivot query can be used in all major DBMS. The trick is getting the bad column names 'range' and 'count' quoted property.
SQL Server (below) uses [], MySQL uses backticks (`), Oracle uses double quotes, SQLite can use any of the preceding.
select [range],
sum(case when class_name='pens' then [count] else 0 end) Pens,
sum(case when class_name='pencil' then [count] else 0 end) Pencils
from tbl
group by [range]
order by [range];
here is the dynamic version of the pivot:
IF OBJECT_ID('tempdb..#T') IS NOT NULL
DROP TABLE #T
CREATE TABLE #T(
[CLASS_NAME] VARCHAR(20) NOT NULL
, [range] VARCHAR(10) NOT NULL
, [count] INT NOT NULL
)
INSERT INTO #T([CLASS_NAME], [range], [count]) VALUES ('pens', '0-0.5', '200')
INSERT INTO #T([CLASS_NAME], [range], [count]) VALUES ('pencil', '0-0.5', '50')
INSERT INTO #T([CLASS_NAME], [range], [count]) VALUES ('pens', '0.5-1.0', '300')
INSERT INTO #T([CLASS_NAME], [range], [count]) VALUES ('pencil', '0.5-1.0', '40')
INSERT INTO #T([CLASS_NAME], [range], [count]) VALUES ('pens', '1.0-1.5', '150')
INSERT INTO #T([CLASS_NAME], [range], [count]) VALUES ('pencil', '1.0-1.5', '45')
DECLARE #PivotColumnHeaders VARCHAR(MAX)
SELECT #PivotColumnHeaders = STUFF((
--SELECT DISTINCT TOP 100 PERCENT
SELECT DISTINCT '],[' + [CLASS_NAME]
FROM #T
ORDER BY '],[' + [CLASS_NAME]
FOR XML PATH('')
), 1, 2, '') + ']';
DECLARE #PivotTableSQL NVARCHAR(MAX)
SET #PivotTableSQL = N'
SELECT *
FROM (
SELECT *
FROM #T
) AS PivotData
PIVOT (
SUM([count])
FOR [CLASS_NAME] IN (
' + #PivotColumnHeaders + '
)
) AS PivotTable
'
EXECUTE(#PivotTableSQL)
I have the following table with the following sample data
ID Language Question SubQuestion SubSubQuestion TotalCount TotalPercent
3 E 9 0 1 88527 73%
3 E 9 0 2 19684 16%
3 E 9 0 3 12960 11%
3 E 9 0 9 933 1%
I want all in one row like this
ID Language TotalCount901 TotalPercent901 TotalCount902 TotalPercent902 TotalCount903 TotalPercent903
3 E 88527 73% 19684 16% 12960 11%
I've tired using the pivot command, but it dosnt to work for me.
I made a few assumptions based on your column names, but it looks like you want to use something similar to this. This applies both an UNPIVOT and then a PIVOT to get the values in the columns you requested:
select *
from
(
select id,
language,
col + cast(QUESTION as varchar(10))
+cast(subquestion as varchar(10))
+cast(SubSubQuestion as varchar(10)) col,
value
from
(
select id, language,
cast(TotalCount as varchar(10)) TotalCount,
totalPercent,
question, subquestion, SubSubQuestion
from yourtable
) usrc
unpivot
(
value
for col in (totalcount, totalpercent)
) un
) srcpiv
pivot
(
max(value)
for col in ([TotalCount901], [totalPercent901],
[TotalCount902], [totalPercent902],
[TotalCount903], [totalPercent903],
[TotalCount909], [totalPercent909])
) p
See SQL Fiddle with Demo
Note: when performing the UNPIVOT the columns need to be of the same datatype. If they are not, then you will need to convert/cast to get the datatypes the same.
If you have an unknown number of values to transform, you can use dynamic sql:
DECLARE #query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsPivot
= STUFF((SELECT ','
+ QUOTENAME(c.name +
cast(QUESTION as varchar(10))
+cast(subquestion as varchar(10))
+cast(SubSubQuestion as varchar(10)))
from yourtable t
cross apply sys.columns as C
where C.object_id = object_id('yourtable') and
C.name in ('TotalCount', 'TotalPercent')
group by c.name, t.question, t.subquestion, t.subsubquestion
order by t.SubSubQuestion
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'select *
from
(
select id,
language,
col + cast(QUESTION as varchar(10))
+cast(subquestion as varchar(10))
+cast(SubSubQuestion as varchar(10)) col,
value
from
(
select id, language,
cast(TotalCount as varchar(10)) TotalCount,
totalPercent,
question, subquestion, SubSubQuestion
from yourtable
) usrc
unpivot
(
value
for col in (totalcount, totalpercent)
) un
) srcpiv
pivot
(
max(value)
for col in (' + #colsPivot + ')
) p '
execute(#query)
See SQL Fiddle with Demo