I wanted to unpivot a dataset which looks like this:
To this:
+-------------+-----------------+---------+
| Scenario ID | Distribution ID | Value |
+-------------+-----------------+---------+
| 0 | Number1 | 10 |
| 0 | Number2 | 19 |
| 0 | Number3 | 34.3 |
| 0 | Number4 | 60.31 |
| 0 | Number5 | 104.527 |
+-------------+-----------------+---------+
Using SQL System Management Studio.
I think I should use a code which is based on something like this:
SELECT *
FROM
(
SELECT 1
FROM table_name
) AS cp
UNPIVOT
(
Scenario FOR Scenarios IN (*
) AS up;
Can anyone help me with this? I do not know how to code, just starting.
Thanks in advance!
In case you need a dynamic unpivot solution (that can handle any number of columns) try this:
create table [dbo].[Test] ([ScenarioID] int, [Number1] decimal(10,3),
[Number2] decimal(10,3), [Number3] decimal(10,3),
[Number4] decimal(10,3), [Number5] decimal(10,3))
insert into [dbo].[Test] select 0, 10, 19, 34.3, 60.31, 104.527
declare #sql nvarchar(max) = ''
declare #cols nvarchar(max) = ''
select #cols = #cols +','+ QUOTENAME(COLUMN_NAME)
from INFORMATION_SCHEMA.COLUMNS
where TABLE_SCHEMA='dbo' and TABLE_NAME='test' and COLUMN_NAME like 'Number%'
order by ORDINAL_POSITION
set #cols = substring(#cols, 2, LEN(#cols))
set #sql = #sql + ' select u.[ScenarioID], u.[DistributionID], u.[Value]
from [dbo].[Test] s
unpivot
(
[Value]
for [DistributionID] in ('+ #cols + ')
) u;'
execute(#sql)
Result:
I would use apply :
select t.scenarioid, tt.distributionId, tt.value
from table t cross apply
( values (Number1, 'Number1'), (Number2, 'Number2'), . . .
) tt (value, distributionId);
Yes, you need to list out all possible Numbers first time only.
You could use VALUES:
SELECT T.scenarioId, s.*
FROM tab t
CROSS APPLY (VALUES ('Number1', t.Number1),
('Number2', t.Number2)) AS s(DistId, Val)
I use cross apply for this:
select t.scenarioid, v.*
from t cross apply
(values ('Number1', number1), ('Number2', number2), . . .
) v(distributionId, number);
You need to list out all the numbers.
Why do I prefer cross apply over unpivot? I find the unpivot syntax to be very specific. It pretty much does exactly one thing. On the other hand, apply introduces lateral joins. These are very powerful, and apply can be used in many different situations.
Related
I've seen many examples of concatenating strings in SQL Server, but if they worry about sorting, it's always by the column being concatenated.
I need to order the values based on data in a different fields.
Sample table:
ClassID | StudentName | SortOrder
-----------------------------
A |James |1
A |Janice |3
A |Leonard |2
B |Luke |2
B |Leia |1
B |Artoo |3
And the results I'd like to get are:
ClassID |StudentName
--------------------------------
A |James, Leonard, Janice
B |Leia, Luke, Artoo
How can this be done in SQL Server 2016?
(I'm looking forward to STRING_AGG in 2017, but we're not there yet...)
Thanks!
Here you go:
SELECT
s1.ClassID
, STUFF((SELECT
',' + s2.StudentName
FROM dbo.Student AS s2
WHERE s1.classID = s2.ClassID
ORDER BY s2.SortOrder
FOR XML PATH('')), 1, 1, '') AS StudentNames
FROM dbo.Student AS s1
GROUP BY s1.ClassID
SQL Fiddle
MS SQL Server 2017 Schema Setup:
CREATE TABLE MyTable(ClassID varchar(255),StudentName varchar(255),SortOrder int)
INSERT INTO MyTable(ClassID,StudentName,SortOrder)VALUES('A','James',1),('A','Janice',3),('A','Leonard',2),
('B','Luke',2),('B','Lela',1),('B','Artoo',3)
Query 1:
SELECT
t.ClassID
, STUFF((SELECT
',' + t1.StudentName
FROM MyTable t1
WHERE t.classID = t1.ClassID
ORDER BY t1.SortOrder
FOR XML PATH('')), 1, 1, '') AS StudentNamesConcat
FROM MyTable AS t
GROUP BY t.ClassID
Results:
| ClassID | StudentNamesConcat |
|---------|----------------------|
| A | James,Leonard,Janice |
| B | Lela,Luke,Artoo |
Here the query
IF OBJECT_ID('tempdb..#Temp') IS NOT NULL DROP TABLE #Temp;
CREATE TABLE #Temp(ClassId varchar(10),studName varchar(100),SortOrder int)
INSERT INTO #Temp(ClassId , studName, SortOrder)
SELECT 'A','James',1 UNION ALL
SELECT 'A','Janice',3UNION ALL
SELECT 'A','Leonard',2 UNION ALL
SELECT 'B','Luke',2 UNION ALL
SELECT 'B','Leia',1 UNION ALL
SELECT 'B','Artoo',3
-- select * from #Temp
select
distinct
stuff((
select ',' + u.studName
from #Temp u
where u.studName = studName and U.ClassId = L.ClassId
order by u.SortOrder
for xml path('')
),1,1,'') as userlist,ClassId
from #Temp L
group by ClassId
You can try using PIVOT also. This will support even older version of SQL server.
Only limitation : you should know the maximum SortOrder value. Below code will work for SortOrder <=20 of any ClassID
SELECT ClassID, ISNULL([1],'') +ISNULL(', '+[2],'')+ISNULL(', '+[3],'')+ISNULL(', '+
[4],'')+ISNULL(', '+[5],'')+ISNULL(', '+[6],'')+ISNULL(', '+[7],'')+ISNULL(', '+
[8],'')+ISNULL(', '+[9],'')+ISNULL(', '+[10],'')+ISNULL(', '+[11],'')+ISNULL(', '+
[12],'')+ISNULL(', '+[13],'')+ISNULL(', '+[14],'')+ISNULL(', '+[15],'')+ISNULL(', '+
[16],'')+ISNULL(', '+[17],'')+ISNULL(', '+[18],'')+ISNULL(', '+[19],'')+ISNULL(', '+
[20],'') AS StudentName
FROM
(SELECT SortOrder,ClassID,StudentName
FROM [Table1] A
) AS SourceTable
PIVOT
(
MAX(StudentName)
FOR SortOrder IN ([1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20])
) AS PivotTable
I have done some research and so far, this one makes sense to me:
Convert row value in to column in SQL server (PIVOT)
However, I am wondering if there is any way to do this without having to declare the needed columns one by one, as I have more than 200 columns to retrieve.
Here's a sneak peek of what I have as a table:
ID | Col_Name | Col_Value
------------------------------
1 | Item_Num | 12345
2 | Item_Date | 34567
3 | Item_Name | 97454
4 | Item_App1 | 234567
5 | Item_App2 | 345678
Take note that I have 200+ distinct values for Col_Name and I want it to be Column fields.
I am using this one as of now but only for 5 columns:
SELECT * FROM
(
SELECT [ID], [Col_Name], [Col_Value]
FROM myTable
) AS a
PIVOT
(
MAX([Col_Value])
FOR [Col_Name] in ([Item_Num], [Item_Date], [Item_Name], [Item_App1], [Item_App2])
) AS p
ORDER BY [ID]
Is there any way this could be done considering the performance? Thanks in advance.
You can use dynamic sql to create the list of col_name:
declare #pivot_col varchar(max);
declare #sql varchar(max);
select #pivot_col = string_agg( cast(col_name as varchar(max)), ', ') within group ( order by col_name ) from ( select distinct col_name from tmp_table ) A;
set #sql = 'SELECT *
FROM (
SELECT [ID], [Col_Name], [Col_Value]
FROM tmp_table
) AS a
PIVOT
(
MAX([Col_Value])
FOR [Col_Name] in (' + #pivot_col + ' )
) AS p
ORDER BY [ID]';
exec ( #sql );
The PIVOT / UNPIVOT operators are built on the principles of an Entity Attribute Value model (EAV). The idea behind an EAV model is that you can extend database entities without performing database schema changes. For that reason an EAV model stores all attributes of an entity in one table as key/value pairs.
If that is the idea behind your design then use the dynamic sql query i posted above, otherwise use a regular record with 200+ columns for each id, as suggested by Gordon.
You can read about the performance of PIVOT / UNPIVOT operators here.
EDIT:
For sql server 2016 version:
declare #pivot_col varchar(max);
declare #sql varchar(max);
select #pivot_col = STUFF( (SELECT ',' + CAST(col_name AS VARCHAR(max)) AS [text()] FROM ( select distinct col_name from tmp_table ) A ORDER BY col_name FOR XML PATH('')), 1, 1, NULL);
set #sql = 'SELECT *
FROM ( SELECT [ID], [Col_Name], [Col_Value]
FROM tmp_table
) AS a
PIVOT
(
MAX([Col_Value])
FOR [Col_Name] in (' + #pivot_col + ' )
) AS p
ORDER BY [ID]';
exec ( #sql );
I am using an SQL Server database and have these following tables
Table "Data"
--------------------------------------------------------------------------------------------------|
| Id |col_1_type | col_1_name | col_2_type | col_2_name | col_3_type | col_3_name |
--------------------------------------------------------------------------------------------------|
| 1 |KI | Inflation Rate | KI | Currency Rate | MI | Government Spending |
--------------------------------------------------------------------------------------------------|
And i just want to make my result to be like this:
+----+------------------------+
| Id | results |
+----+------------------------+
| 1 | KI-Inflation Rate |
| 2 | KI-Currency Rate |
| 3 | MI-Government Spending |
+----+------------------------+
The column name is mandatory though, thats what made it complicated i guess?
i know you can merge 2 values or concatenate it, but i'm stuck on the column name such as col_1_name and col_2_type. Do i need to use regexp maybe?
Please try this-
select ROW_NUMBER() OVER (ORDER BY (select null)) id , results
from
(
SELECT CONCAT(col_1_type,'-',col_1_name) results
FROM [Data]
UNION ALL
SELECT CONCAT(col_2_type,'-',col_2_name)
FROM Data
UNION ALL
SELECT CONCAT(col_3_type,'-',col_3_name)
FROM Data
)o
Or this also
SELECT Id,results
FROM Data
CROSS apply
(VALUES (CONCAT(col_1_type,'-',col_1_name),1),(CONCAT(col_2_type,'-',col_2_name),2)
,(CONCAT(col_3_type,'-',col_3_name) ,3) ) cs (results,Id)
I would use of cross apply with the help of CTE and stuff()
;with cte as
(
select a.* from table t
cross apply (
values
(t.col_1_type, 'col_1'),
(t.col_1_name, 'col_1'),
(t.col_2_type, 'col_2'),
(t.col_2_name, 'col_2'),
(t.col_3_type, 'col_3'),
(t.col_3_name, 'col_3')
) a(name, id)
)
select distinct stuff(
(select '-'+name from cte where id= c.id for xml path('')),
1,1, ''
) [Results],
from cte c
EDIT :
Not sure about Id column but my guess that could be resolved by using ranking function
select row_number() over (order by (select 1)) Id,
cc.Results from
(
select distinct stuff(
(select '-'+id from cte where name = c.name for xml path('')),
1,1, ''
) [Results]
from cte c
) cc
Result :
Id Results
1 KI-Currency Rate
2 KI-Inflation Rate
3 MI-Government Spending
Sample data
IF OBJECT_ID('tempdb..#t') iS NOT NULL
DROP TABLE #t
IF OBJECT_ID('dbo.temp','U') iS NOT NULL
DROP TABLE temp
;With CTe(
Id ,col_1_type , col_1_name, col_2_type , col_2_name, col_3_type , col_3_name )
AS
(
SELECT 1,'KI','Inflation Rate','KI','Currency Rate','MI','Government Spending'
)
SELECT * INTO temp FROM CTe
Using Dynamic sql
DECLARE #Sqlstring nvarchar(max)
,#SQlQuery nvarchar(max)
;WITH cte
AS
(
SELECT COLUMN_NAME ,
((ROW_NUMBER()OVER(ORDER BY (SELECT NULL))-1)/2 )+1 AS BatchSeq
FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME='temp' AND COLUMN_NAME<>'Id'
)
SELECT #Sqlstring=STUFF((SELECT ', '+COLUMN_NAME FROM
(
SELECT DISTINCT '('+STUFF((SELECT ', '+COLUMN_NAME
FROM cte i
WHERE i.BatchSeq=o.BatchSeq FOR XML PATH ('')),1,1,'') +')' AS COLUMN_NAME
FROM cte o
)dt
FOR XML PATH ('')),1,1,'')
SET #SQlQuery='
SELECT ROW_NUMBER() OVER(ORDER BY (SELECT 1)) AS ID,
CONCAT(col_type,''-'',Col_names) AS Result
FROM Temp
CROSS APPLY ( VALUES '+#Sqlstring+') dt(col_type,Col_names)'
PRINT #SQlQuery
EXEC(#SQlQuery)
Result
ID Result
-----------------------
1 KI-Inflation Rate
2 KI-Currency Rate
3 MI-Government Spending
Try like this
select (column1 || ' '|| column2) from table;
or
SELECT tablename.col_1_type + ' ' + tablename.col_1_name AS results;
This question already has answers here:
Closed 10 years ago.
Possible Duplicate:
SQL Server dynamic PIVOT query?
I have a dataset that has the below structure.
CREATE TABLE #TempTable
(
Measure_ID INT,
measurement DECIMAL(18, 4)
)
INSERT INTO #TempTable
VALUES
(1,2.3)
,(1,3.4)
,(1,3.3)
,(2,3)
,(2,2.3)
,(2,4.0)
,(2,4.5)
I need to produce output that will look like this.
1,2.3,3.4,3.3
2,3,2.3,4.0,4.5
Basically its a pivot on Measure_ID. Unfortunately, there can be an unlimited number of measure_id's. So Pivot is out.
I'm hoping to avoid CURSORS, but will if that turns out to be the best approach.
If you have an unknown number of values, then you can use a PIVOT with dynamic SQL:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ','
+ QUOTENAME('Measurement_' + cast(rn as varchar(10)))
from temptable
cross apply
(
select row_number() over(partition by measure_id order by measurement) rn
from temptable
) x
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT measure_id, ' + #cols + ' from
(
select measure_id, measurement,
''Measurement_''
+ cast(row_number() over(partition by measure_id order by measurement) as varchar(10)) val
from temptable
) x
pivot
(
max(measurement)
for val in (' + #cols + ')
) p '
execute(#query)
See SQL Fiddle With Demo
If you have a known number of values, then you can hard-code the values, similar to this:
SELECT measure_id, [Measurement_1], [Measurement_2],
[Measurement_3], [Measurement_4]
from
(
select measure_id, measurement,
'Measurement_'
+ cast(row_number() over(partition by measure_id order by measurement) as varchar(10)) val
from temptable
) x
pivot
(
max(measurement)
for val in ([Measurement_1], [Measurement_2],
[Measurement_3], [Measurement_4])
) p
See SQL Fiddle With Demo
Both queries will produce the same results:
MEASURE_ID | MEASUREMENT_1 | MEASUREMENT_2 | MEASUREMENT_3 | MEASUREMENT_4
==========================================================================
1 | 2.3 | 3.3 | 3.4 | (null)
2 | 2.3 | 3 | 4 | 4.5
There is a question here in stackoverflow with the same title but that is not what I am looking for.
I have a table like the one below
Name | Count
----------------
Chery | 257
Drew | 1500
Morgon | 13
Kath | 500
Kirk | 200
Matt | 76
I need to trasform this result set into something like this
Chery | Drew | Morgon | Kath | Kirk | Matt
-------------------------------------------
257 1500 13 500 200 76
How do i acheive this using sql server 2005?
There are similar questions here,here answered in stackoverflow.
You need to use the operator PIVOT in your query to acheive this.Here is the example and explanation on how you can do that.The example is referenced from this source.
---I assumed your tablename as TESTTABLE---
DECLARE #cols NVARCHAR(2000)
DECLARE #query NVARCHAR(4000)
SELECT #cols = STUFF(( SELECT DISTINCT TOP 100 PERCENT
'],[' + t.Name
FROM TESTTABLE AS t
ORDER BY '],[' + t.Name
FOR XML PATH('')
), 1, 2, '') + ']'
SET #query = N'SELECT '+ #cols +' FROM
(SELECT t1.Name , t1.Count FROM TESTTABLE AS t1) p
PIVOT (MAX([Count]) FOR Name IN ( '+ #cols +' ))
AS pvt;'
EXECUTE(#query)
Explanation
1.The first part of the query
SELECT #cols = STUFF(( SELECT DISTINCT TOP 100 PERCENT
'],[' + t.Name
FROM TESTTABLE AS t
ORDER BY '],[' + t.Name
FOR XML PATH('')
), 1, 2, '') + ']'
gives you a nice flattened result of your Name column values in a single row as follow
[Cheryl],[Drew],[Karen],[Kath],[Kirk],[Matt]
You can learn more about the STUFF and XML PATH here and here.
2.SELECT + #cols + FROM will select all the rows as coloumn names for the final result set (pvt - step 3)
i.e
Select [Chery],[Drew],[Morgan],[Kath],[Kirk],[Matt]
3.This query pulls all the rows of data that we need to create the cross-tab results. The (p) after the query is creating a temporary table of the results that can then be used to satisfy the query for step 1.
(SELECT t1.Name, t1.Count FROM TESTTABLE AS t1) p
4.The PIVOT expression
PIVOT (MAX (Count) FOR Name IN ( #cols) AS pvt
does the actual summarization and puts the results into a temporary table called pvt as
Chery | Drew | Morgon | Kath | Kirk | Matt
-------------------------------------------
257 1500 13 500 200 76
See Using PIVOT and UNPIVOT.
You can use the PIVOT and UNPIVOT
relational operators to change a
table-valued expression into another
table. PIVOT rotates a table-valued
expression by turning the unique
values from one column in the
expression into multiple columns in
the output, and performs aggregations
where they are required on any
remaining column values that are
wanted in the final output. UNPIVOT
performs the opposite operation to
PIVOT by rotating columns of a
table-valued expression into column
values.
The quick answer is
SELECT Chery, Drew, Morgon, Kath, Kirk, Matt
FROM
(SELECT [Name], [Count] From Foo)
PIVOT
(
MIN([Count])
FOR [Name] IN (Chery, Drew, Morgon, Kath, Kirk, Matt)
) AS PivotTable
If you want to avoid anything complicated like a pivot or the accepted answer, you can do this! (most of the code is just setting up the test data just in case anyone wants to try it)
/* set up your test table */
declare #TestData table (Name Varchar(80),[Count] int)
insert into #TestData (Name, [count])
Select 'Chery' as name, 257 as [count]
union all select 'Drew', 1500
union all select 'Morgon',13
union all select 'Kath', 500
union all select 'Kirk', 200
union all select 'Matt', 76
/* the query */
Declare #Query Varchar(max)
Select #Query=Coalesce(#query+', ','SELECT ') +Convert(VarChar(5),[count]) +' as ['+name+']'
from #TestData
Execute (#Query)
/* result
Chery Drew Morgon Kath Kirk Matt
----------- ----------- ----------- ----------- ----------- -----------
257 1500 13 500 200 76
*/