I chose not to - but using PIVOT would require the same thing. how about this - create the table and populate in sqlserver. Show us how you would do this in sqlserver, then insert another row into the table with values (4,'XXX',10) and show us the query that now outputs an extra column for XXX without changing the original query.
The UNPIVOT will turn the PurchasingValue and SellingValue columns into rows. Once this is done, then you can pivot the data into your result. The code will be: select * from ( select itemid, case when col = 'PurchasingValue' then 'P' when col = 'SellingValue' then 'S' end + cast (year as varchar (4)) new_col, value from yourtable unpivot
Another video brought to you by BeardedDev, bringing you tutorials on Business Intelligence, SQL Programming and Data Analysis.In this video I talk about usi @STLDev Actually STLDev that's not how pivot works. We don't know all of the columns in table "pivot2". There could, in fact, be other columns OP did not specify that are in the table. So unless you restrict the columns - using a CTE or Derived table query - then ALL columns in the table are used in the grouping. Conclusion. Both SQL Server PIVOT and GROUPING SETS provide tremendous flexibility over the shape of your output, and can really reduce the amount of heavy lifting that has be done by your presentation layer or middle tier. Sure, Excel is great at crosstab and conditional formatting, but that only scales to individual report consumers. Step 7 - Dynamic SQL. This is the step that creates the dynamic SQL for pivoting the data. H ere we are building a Dynamic SQL for creating the pivot command using the @columns variable created in
1 Answer. Sorted by: 22. You can pivot the data using TRANSFORM: TRANSFORM COUNT (MenuItems.MealType) SELECT April2013.SID, MenuItems.MealType FROM April2013 LEFT JOIN MenuItems ON MenuItems.Item=April2013.Item GROUP BY April2013.SID PIVOT MenuItems.MealType; Share.
If I'm understanding you correctly, I think I have a solution. You can use dynamic SQL for this. You will need to set a variable that contains all the values for the field by which you want to pivot, and then assign the query itself into a variable and execute it to get results:
Show activity on this post. Using a non pivot compliant DBMS (Absolute Database) I was more successful using this SQL cross-tab equivalent statement: SELECT sub.TypeName , SUM (sub. [Count]) AS "Total" , SUM (CASE WHEN AssetStatus='1' THEN sub. [Count] ELSE 0 END) AS "Deployed" , SUM (CASE WHEN AssetStatus='2' THEN sub. 1 Answer. Sorted by: 22. When you are using the PIVOT function, you are required to use an aggregate function. The syntax of a PIVOT is: From MSDN: SELECT , [first pivoted column] AS , [second pivoted column] AS , [last pivoted column] AS FROM () AS
1 Answer. SELECT [Developer], [Designer], [Coder] FROM ( SELECT *, ROW_NUMBER () OVER (PARTITION BY Occupation ORDER BY (SELECT NULL)) RN FROM #temp ) as t PIVOT ( MAX (Name) FOR Occupation IN ( [Developer], [Designer], [Coder]) ) as pvt. If the number of Occupation s may vary then you need dynamic SQL: DECLARE @columns nvarchar (max), @sql
1. First thing to understand about pivots, you pick a single column in a result set to act as the as the PIVOT anchor, the hinge that the data will be pivoted around, this is specified in the FOR clause. You can only PIVOT FOR a single column, but you can construct this column in a subquery or from joins or views as your target data query, OP
Configure an SSIS package for SSIS Pivot Transformation. Launch Visual Studio 2019 and click on File > New > Project on the menu bar or by clicking the New Project button on the toolbar. It opens project templates. Click on Integration Service Project : Specify the project name and storage location.
Figure 8: Pivot against varchar data type script. Conclusion. In this article we’ve had a look at available workarounds to pivoting using non-numeric fields. The key to pivoting using non-numeric fields is that you need to find a way to trick the aggregate function as it strictly takes in numeric values. nXHH.
