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 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
Consider the following #table:
guid field value
--------------------
123 A foo
123 B foobar
123 C 123
234 A bar;baz
234 B 3464
345 A foobaz
I need to transpose / pivot this into the following #table2:
guid A B C
---------------------------
123 foo foobar 123
234 bar;baz 3464 -
345 foobaz - -
In other words: the guid needs to stay the table key but all the fields need to be transposed into columns.
Is this possible in SQL Server?
Usually, I would use a server-side (php, python, asp) script to pull #table from the database and transpose the resultset by iterating to the resultset as an array but this is not an option in this case. I need a sql-only solution.
Any help would be greatly appreciated.
This should pivot your data and will keep your GUID.
select tbl.guid, tbl.[A], tbl.[B], tbl.[C] from (
select * from (
select guid, field, value
from #table
) t
pivot (
max(value) for field in ([A],[B],[C])
) p
) tbl
Creating your columns in preparation for the dynamic SQL:
declare #columns nvarchar(max) = (select stuff((
select distinct ',[' + t.field + ']'
from #table t
for xml path('')
),1,1,''))
Mixing the columns into the dynamic SQL:
declare #sql = N'
select tbl.guid, ' + #columns + ' from (
select * from (
select guid, field, value
from #table
) t
pivot (
max(value) for field in (' + #columns + ')
) p
) tbl'
And execute:
execute (#sql)
How can I change this table
Name subject Mark
Aswin physics 100
Aswin chemistry 300
Aswin maths 200
Into
Aswin Physics 100 Chemistry 300 Maths 200
Any one please help me.
you can use PIVOT operator to do this job in sql server.
check these links link1 and link2 they will show how to change row into column.
hope this helps you!
SQLFiddle demo
select Name,
sum(CASE
when [subject]='physics' then Mark
end) as Physics,
sum(CASE
when [subject]='chemistry' then Mark
end) as chemistry,
sum(CASE
when [subject]='maths' then Mark
end) as maths
from t group by Name
Or if you need it in one line:
SQLFiddle demo
SELECT
t1.name,
MemberList = substring((SELECT ( ', ' + subject+' - '+
cast(Mark as varchar(100)) )
FROM t t2
WHERE t1.name = t2.name
ORDER BY
name,
subject
FOR XML PATH( '' )
), 3, 1000 )FROM t t1
GROUP BY name
You need to use SQL Pivoting, check the examples at SQL SERVER – PIVOT and UNPIVOT Table Examples. Using Sql Pivoting you can change the rows to columns and Unpivoting is for columns to rows conversion.
Please note: I am checking if I can provide you exact script but for now the link would help you out.
UPDATE
Code example
Though I have not tested this with actual data but it parses fine.
-- Pivot Table ordered by Name of Student
SELECT Name, Physics, Chemistry, Maths
FROM (
SELECT Name, Subject, Mark
FROM Student) up
PIVOT (SUM(Mark) FOR Student IN (Physics, Chemistry, Maths)) AS pvt
ORDER BY Name
-- Result should be something like
----------------------------------
Name Physics Chemistry Maths
----------------------------------
Aswin 100 300 200
----------------------------------
For creating pivot you need to know the actual rows values to convert into columns.
I have wrote before about dynamic pivoting here if you find it useful.
It is not exactly clear if you want this data in separate columns or in one column.
If you want this in separate columns, then you can apply the PIVOT function which became available in SQL Server 2005.
If you know all of the values that you want to transform or have a limited number, then you can hard-code the query:
select *
from
(
select name, subject +' '+ cast(mark as varchar(9)) as sub_mark,
'Subject_'+cast(row_number() over(partition by name
order by subject) as varchar(10)) col_name
from subjects
) s
pivot
(
max(sub_mark)
for col_name in (Subject_1, Subject_2, Subject_3)
) piv;
See SQL Fiddle with Demo. You will notice that I did this slightly different from the other pivot answer. I placed both the subject/mark in the same column with a column name of Subject_1, etc.
If you have an unknown number of values, then you can use dynamic sql:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME('Subject_'+cast(row_number() over(partition by name
order by subject) as varchar(10)))
from subjects
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT name,' + #cols + ' from
(
select name, subject +'' ''+ cast(mark as varchar(9)) as sub_mark,
''Subject_''+cast(row_number() over(partition by name
order by subject) as varchar(10)) col_name
from subjects
) x
pivot
(
max(sub_mark)
for col_name in (' + #cols + ')
) p '
execute(#query)
See SQL Fiddle with Demo. The dynamic sql version will increase in the number of columns if a name has more than 3 subjects.
The result of both queries is:
| NAME | SUBJECT_1 | SUBJECT_2 | SUBJECT_3 |
---------------------------------------------------
| Aswin | chemistry 300 | maths 200 | physics 100 |
How do I simply switch columns with rows in SQL?
Is there any simple command to transpose?
ie turn this result:
Paul | John | Tim | Eric
Red 1 5 1 3
Green 8 4 3 5
Blue 2 2 9 1
into this:
Red | Green | Blue
Paul 1 8 2
John 5 4 2
Tim 1 3 9
Eric 3 5 1
PIVOT seems too complex for this scenario.
There are several ways that you can transform this data. In your original post, you stated that PIVOT seems too complex for this scenario, but it can be applied very easily using both the UNPIVOT and PIVOT functions in SQL Server.
However, if you do not have access to those functions this can be replicated using UNION ALL to UNPIVOT and then an aggregate function with a CASE statement to PIVOT:
Create Table:
CREATE TABLE yourTable([color] varchar(5), [Paul] int, [John] int, [Tim] int, [Eric] int);
INSERT INTO yourTable
([color], [Paul], [John], [Tim], [Eric])
VALUES
('Red', 1, 5, 1, 3),
('Green', 8, 4, 3, 5),
('Blue', 2, 2, 9, 1);
Union All, Aggregate and CASE Version:
select name,
sum(case when color = 'Red' then value else 0 end) Red,
sum(case when color = 'Green' then value else 0 end) Green,
sum(case when color = 'Blue' then value else 0 end) Blue
from
(
select color, Paul value, 'Paul' name
from yourTable
union all
select color, John value, 'John' name
from yourTable
union all
select color, Tim value, 'Tim' name
from yourTable
union all
select color, Eric value, 'Eric' name
from yourTable
) src
group by name
See SQL Fiddle with Demo
The UNION ALL performs the UNPIVOT of the data by transforming the columns Paul, John, Tim, Eric into separate rows. Then you apply the aggregate function sum() with the case statement to get the new columns for each color.
Unpivot and Pivot Static Version:
Both the UNPIVOT and PIVOT functions in SQL server make this transformation much easier. If you know all of the values that you want to transform, you can hard-code them into a static version to get the result:
select name, [Red], [Green], [Blue]
from
(
select color, name, value
from yourtable
unpivot
(
value for name in (Paul, John, Tim, Eric)
) unpiv
) src
pivot
(
sum(value)
for color in ([Red], [Green], [Blue])
) piv
See SQL Fiddle with Demo
The inner query with the UNPIVOT performs the same function as the UNION ALL. It takes the list of columns and turns it into rows, the PIVOT then performs the final transformation into columns.
Dynamic Pivot Version:
If you have an unknown number of columns (Paul, John, Tim, Eric in your example) and then an unknown number of colors to transform you can use dynamic sql to generate the list to UNPIVOT and then PIVOT:
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name <> 'color'
for xml path('')), 1, 1, '')
select #colsPivot = STUFF((SELECT ','
+ quotename(color)
from yourtable t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select name, '+#colsPivot+'
from
(
select color, name, value
from yourtable
unpivot
(
value for name in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
sum(value)
for color in ('+#colsPivot+')
) piv'
exec(#query)
See SQL Fiddle with Demo
The dynamic version queries both yourtable and then the sys.columns table to generate the list of items to UNPIVOT and PIVOT. This is then added to a query string to be executed. The plus of the dynamic version is if you have a changing list of colors and/or names this will generate the list at run-time.
All three queries will produce the same result:
| NAME | RED | GREEN | BLUE |
-----------------------------
| Eric | 3 | 5 | 1 |
| John | 5 | 4 | 2 |
| Paul | 1 | 8 | 2 |
| Tim | 1 | 3 | 9 |
This normally requires you to know ALL the column AND row labels beforehand. As you can see in the query below, the labels are all listed in their entirely in both the UNPIVOT and the (re)PIVOT operations.
MS SQL Server 2012 Schema Setup:
create table tbl (
color varchar(10), Paul int, John int, Tim int, Eric int);
insert tbl select
'Red' ,1 ,5 ,1 ,3 union all select
'Green' ,8 ,4 ,3 ,5 union all select
'Blue' ,2 ,2 ,9 ,1;
Query 1:
select *
from tbl
unpivot (value for name in ([Paul],[John],[Tim],[Eric])) up
pivot (max(value) for color in ([Red],[Green],[Blue])) p
Results:
| NAME | RED | GREEN | BLUE |
-----------------------------
| Eric | 3 | 5 | 1 |
| John | 5 | 4 | 2 |
| Paul | 1 | 8 | 2 |
| Tim | 1 | 3 | 9 |
Additional Notes:
Given a table name, you can determine all the column names from sys.columns or FOR XML trickery using local-name().
You can also build up the list of distinct colors (or values for one column) using FOR XML.
The above can be combined into a dynamic sql batch to handle any table.
I'd like to point out few more solutions to transposing columns and rows in SQL.
The first one is - using CURSOR. Although the general consensus in the professional community is to stay away from SQL Server Cursors, there are still instances whereby the use of cursors is recommended. Anyway, Cursors present us with another option to transpose rows into columns.
Vertical expansion
Similar to the PIVOT, the cursor has the dynamic capability to append more rows as your dataset expands to include more policy numbers.
Horizontal expansion
Unlike the PIVOT, the cursor excels in this area as it is able to expand to include newly added document, without altering the script.
Performance breakdown
The major limitation of transposing rows into columns using CURSOR is a disadvantage that is linked to using cursors in general – they come at significant performance cost. This is because the Cursor generates a separate query for each FETCH NEXT operation.
Another solution of transposing rows into columns is by using XML.
The XML solution to transposing rows into columns is basically an optimal version of the PIVOT in that it addresses the dynamic column limitation.
The XML version of the script addresses this limitation by using a combination of XML Path, dynamic T-SQL and some built-in functions (i.e. STUFF, QUOTENAME).
Vertical expansion
Similar to the PIVOT and the Cursor, newly added policies are able to be retrieved in the XML version of the script without altering the original script.
Horizontal expansion
Unlike the PIVOT, newly added documents can be displayed without altering the script.
Performance breakdown
In terms of IO, the statistics of the XML version of the script is almost similar to the PIVOT – the only difference is that the XML has a second scan of dtTranspose table but this time from a logical read – data cache.
You can find some more about these solutions (including some actual T-SQL exmaples) in this article:
https://www.sqlshack.com/multiple-options-to-transposing-rows-into-columns/
Based on this solution from bluefeet here is a stored procedure that uses dynamic sql to generate the transposed table. It requires that all the fields are numeric except for the transposed column (the column that will be the header in the resulting table):
/****** Object: StoredProcedure [dbo].[SQLTranspose] Script Date: 11/10/2015 7:08:02 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author: Paco Zarate
-- Create date: 2015-11-10
-- Description: SQLTranspose dynamically changes a table to show rows as headers. It needs that all the values are numeric except for the field using for transposing.
-- Parameters: #TableName - Table to transpose
-- #FieldNameTranspose - Column that will be the new headers
-- Usage: exec SQLTranspose <table>, <FieldToTranspose>
-- =============================================
ALTER PROCEDURE [dbo].[SQLTranspose]
-- Add the parameters for the stored procedure here
#TableName NVarchar(MAX) = '',
#FieldNameTranspose NVarchar(MAX) = ''
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#queryPivot AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX),
#columnToPivot as NVARCHAR(MAX),
#tableToPivot as NVARCHAR(MAX),
#colsResult as xml
select #tableToPivot = #TableName;
select #columnToPivot = #FieldNameTranspose
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id(#tableToPivot) and
C.name <> #columnToPivot
for xml path('')), 1, 1, '')
set #queryPivot = 'SELECT #colsResult = (SELECT '',''
+ quotename('+#columnToPivot+')
from '+#tableToPivot+' t
where '+#columnToPivot+' <> ''''
FOR XML PATH(''''), TYPE)'
exec sp_executesql #queryPivot, N'#colsResult xml out', #colsResult out
select #colsPivot = STUFF(#colsResult.value('.', 'NVARCHAR(MAX)'),1,1,'')
set #query
= 'select name, rowid, '+#colsPivot+'
from
(
select '+#columnToPivot+' , name, value, ROW_NUMBER() over (partition by '+#columnToPivot+' order by '+#columnToPivot+') as rowid
from '+#tableToPivot+'
unpivot
(
value for name in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
sum(value)
for '+#columnToPivot+' in ('+#colsPivot+')
) piv
order by rowid'
exec(#query)
END
You can test it with the table provided with this command:
exec SQLTranspose 'yourTable', 'color'
I'm doing UnPivot first and storing the results in CTE and using the CTE in Pivot operation.
Demo
with cte as
(
select 'Paul' as Name, color, Paul as Value
from yourTable
union all
select 'John' as Name, color, John as Value
from yourTable
union all
select 'Tim' as Name, color, Tim as Value
from yourTable
union all
select 'Eric' as Name, color, Eric as Value
from yourTable
)
select Name, [Red], [Green], [Blue]
from
(
select *
from cte
) as src
pivot
(
max(Value)
for color IN ([Red], [Green], [Blue])
) as Dtpivot;
Adding to #Paco Zarate's terrific answer above, if you want to transpose a table which has multiple types of columns, then add this to the end of line 39, so it only transposes int columns:
and C.system_type_id = 56 --56 = type int
Here is the full query that is being changed:
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id(#tableToPivot) and
C.name <> #columnToPivot and C.system_type_id = 56 --56 = type int
for xml path('')), 1, 1, '')
To find other system_type_id's, run this:
select name, system_type_id from sys.types order by name
This way Convert all Data From Filelds(Columns) In Table To Record (Row).
Declare #TableName [nvarchar](128)
Declare #ExecStr nvarchar(max)
Declare #Where nvarchar(max)
Set #TableName = 'myTableName'
--Enter Filtering If Exists
Set #Where = ''
--Set #ExecStr = N'Select * From '+quotename(#TableName)+#Where
--Exec(#ExecStr)
Drop Table If Exists #tmp_Col2Row
Create Table #tmp_Col2Row
(Field_Name nvarchar(128) Not Null
,Field_Value nvarchar(max) Null
)
Set #ExecStr = N' Insert Into #tmp_Col2Row (Field_Name , Field_Value) '
Select #ExecStr += (Select N'Select '''+C.name+''' ,Convert(nvarchar(max),'+quotename(C.name) + ') From ' + quotename(#TableName)+#Where+Char(10)+' Union All '
from sys.columns as C
where (C.object_id = object_id(#TableName))
for xml path(''))
Select #ExecStr = Left(#ExecStr,Len(#ExecStr)-Len(' Union All '))
--Print #ExecStr
Exec (#ExecStr)
Select * From #tmp_Col2Row
Go
I like to share the code i'm using to transpose a splited text based on +bluefeet answer. In this aproach i'm implemented as a procedure in MS SQL 2005
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author: ELD.
-- Create date: May, 5 2016.
-- Description: Transpose from rows to columns the user split function.
-- =============================================
CREATE PROCEDURE TransposeSplit #InputToSplit VARCHAR(8000)
,#Delimeter VARCHAR(8000) = ','
AS
BEGIN
SET NOCOUNT ON;
DECLARE #colsUnpivot AS NVARCHAR(MAX)
,#query AS NVARCHAR(MAX)
,#queryPivot AS NVARCHAR(MAX)
,#colsPivot AS NVARCHAR(MAX)
,#columnToPivot AS NVARCHAR(MAX)
,#tableToPivot AS NVARCHAR(MAX)
,#colsResult AS XML
SELECT #tableToPivot = '#tempSplitedTable'
SELECT #columnToPivot = 'col_number'
CREATE TABLE #tempSplitedTable (
col_number INT
,col_value VARCHAR(8000)
)
INSERT INTO #tempSplitedTable (
col_number
,col_value
)
SELECT ROW_NUMBER() OVER (
ORDER BY (
SELECT 100
)
) AS RowNumber
,item
FROM [DB].[ESCHEME].[fnSplit](#InputToSplit, #Delimeter)
SELECT #colsUnpivot = STUFF((
SELECT ',' + quotename(C.NAME)
FROM [tempdb].sys.columns AS C
WHERE C.object_id = object_id('tempdb..' + #tableToPivot)
AND C.NAME <> #columnToPivot
FOR XML path('')
), 1, 1, '')
SET #queryPivot = 'SELECT #colsResult = (SELECT '',''
+ quotename(' + #columnToPivot + ')
from ' + #tableToPivot + ' t
where ' + #columnToPivot + ' <> ''''
FOR XML PATH(''''), TYPE)'
EXEC sp_executesql #queryPivot
,N'#colsResult xml out'
,#colsResult OUT
SELECT #colsPivot = STUFF(#colsResult.value('.', 'NVARCHAR(MAX)'), 1, 1, '')
SET #query = 'select name, rowid, ' + #colsPivot + '
from
(
select ' + #columnToPivot + ' , name, value, ROW_NUMBER() over (partition by ' + #columnToPivot + ' order by ' + #columnToPivot + ') as rowid
from ' + #tableToPivot + '
unpivot
(
value for name in (' + #colsUnpivot + ')
) unpiv
) src
pivot
(
MAX(value)
for ' + #columnToPivot + ' in (' + #colsPivot + ')
) piv
order by rowid'
EXEC (#query)
DROP TABLE #tempSplitedTable
END
GO
I'm mixing this solution with the information about howto order rows without order by (SQLAuthority.com) and the split function on MSDN (social.msdn.microsoft.com)
When you execute the prodecure
DECLARE #RC int
DECLARE #InputToSplit varchar(MAX)
DECLARE #Delimeter varchar(1)
set #InputToSplit = 'hello|beautiful|world'
set #Delimeter = '|'
EXECUTE #RC = [TransposeSplit]
#InputToSplit
,#Delimeter
GO
you obtaint the next result
name rowid 1 2 3
col_value 1 hello beautiful world
I was able to use Paco Zarate's solution and it works beautifully. I did have to add one line ("SET ANSI_WARNINGS ON"), but that may be something unique to the way I used it or called it. There is a problem with my usage and I hope someone can help me with it:
The solution works only with an actual SQL table. I tried it with a temporary table and also an in-memory (declared) table but it doesn't work with those. So in my calling code I create a table on my SQL database and then call SQLTranspose. Again, it works great. It's just what I want. Here's my problem:
In order for the overall solution to be truly dynamic I need to create that table where I temporarily store the prepared information that I'm sending to SQLTranspose "on the fly", and then delete that table once SQLTranspose is called. The table deletion is presenting a problem with my ultimate implementation plan. The code needs to run from an end-user application (a button on a Microsoft Access form/menu). When I use this SQL process (create a SQL table, call SQLTranspose, delete SQL table) the end user application hits an error because the SQL account used does not have the rights to drop a table.
So I figure there are a few possible solutions:
Find a way to make SQLTranspose work with a temporary table or a declared table variable.
Figure out another method for the transposition of rows and columns that doesn't require an actual SQL table.
Figure out an appropriate method of allowing the SQL account used by my end users to drop a table. It's a single shared SQL account coded into my Access application. It appears that permission is a dbo-type privilege that cannot be granted.
I recognize that some of this may warrant another, separate thread and question. However, since there is a possibility that one solution may be simply a different way to do the transposing of rows and columns I'll make my first post here in this thread.
EDIT: I also did replace sum(value) with max(value) in the 6th line from the end, as Paco suggested.
EDIT:
I figured out something that works for me. I don't know if it's the best answer or not.
I have a read-only user account that is used to execute strored procedures and therefore generate reporting output from a database. Since the SQLTranspose function I created will only work with a "legitimate" table (not a declared table and not a temporary table) I had to figure out a way for a read-only user account to create (and then later delete) a table.
I reasoned that for my purposes it's okay for the user account to be allowed to create a table. The user still could not delete the table though. My solution was to create a schema where the user account is authorized. Then whenever I create, use, or delete that table refer it with the schema specified.
I first issued this command from a 'sa' or 'sysadmin' account:
CREATE SCHEMA ro AUTHORIZATION
When any time I refer to my "tmpoutput" table I specify it like this example:
drop table ro.tmpoutput