1 Answer. If you want to transform the results of your stored procedure, then you will need to use UNPIVOT and PIVOT to get your final product: select * from ( select date, value, unit from ( select * from t1 ) x unpivot ( [value] for unit in ( [unita], [unitb], [unitc])) u ) a pivot ( sum (value) for date in ( [2010], [2011], [2012]) ) p. You Using HANA SQL Script; PIVOT Data using Graphical Calculation View: Base Table: This is a PO header table which has Employee ID, Vendor ID and PO Number. PIVOT Output: In pivot output lets say we want to know how many Purchase Orders placed by each employee, as Excel is the best tool to generate pivot output so I generated below output in excel: Explanation of above example/syntax: above example try to convert Order_Priority rows data into the columns as headers. First select command: The first select command display the all columns coming from second select command. Second select command: Display the rows into the column for Order_Priority, by using PIVOT function, Count keyword: This 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. The steps we’ll take to generate the dynamic pivot table are: Get a list of unique product lines. Create a column list. Construct a Pivot Table as SQL Statement. Execute the statement. Step 1. Get a list of unique locations. The first step is to construct a query to get a unique list of locations. The XML option 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).
This is a very simple example of Pivot query for the beginners. We use pivot queries when we need to transform data from row-level to columnar data. Pivot query help us to generate an interactive table that quickly combines and compares large amounts of data. We can rotate its rows and columns to see different summaries of the source data, and
PivotTable is a functionality in Excel which helps you organize and analyze data. It lets you add and remove values, perform calculations, and to filter and sort data sets. PivotTable helps you structure and organize data to understand large data sets. The data that you use needs to be in tabular format. The tabular form is data in a table

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.

Converting Rows to Columns – PIVOT. SQL Server has a PIVOT relational operator to turn the unique values of a specified column from multiple rows into multiple column values in the output (cross-tab), effectively rotating a table. It also allows performing aggregations, wherever required, for column values that are expected in the final output.
The problem here is that a) We want to use different aggregates (not allowed within a single PIVOT) and b) that a PIVOT "uses up" the columns mentioned in the first part of the PIVOT. This means that after the first PIVOT , there aren't any columns containing the years any more to allow the second pivot to be directly applied.
3 Answers. Yes you need to use the old style cross tab for this. The PIVOT is just syntactic sugar that resolves to pretty much the same approach. SELECT AVG (CASE WHEN col='foo' THEN col END) AS AvgFoo, COUNT (CASE WHEN col='foo' THEN col END) AS CountFoo, WITH cte As ( SELECT CASE WHEN col='foo' THEN col END AS Foo
Example. Let's look at how to use the PIVOT clause in Oracle. We will base our example on a table called orders with the following definition:. CREATE TABLE orders ( order_id integer NOT NULL, customer_ref varchar2(50) NOT NULL, order_date date, product_id integer, quantity integer, CONSTRAINT orders_pk PRIMARY KEY (order_id) );
SELECT year, month, week, MAX (CASE WHEN type = 'A' THEN "count" END) AS A, MAX (CASE WHEN type = 'B' THEN "count" END) AS B, MAX (CASE WHEN type = 'C' THEN "count" END) AS C FROM mytable GROUP BY year, month, week ORDER BY year, month, week. In both cases you need to perform a GROUP BY action. This makes an aggregation function necessary, like qwEssh.
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