Except for using XML functions, the Dynamic SQL option is very similar to the XML option. To use this you need three things: 1. Sending. What to show in the new columnsThe value in the new columns must be an aggregate. Vertical expansion Understanding the data should give business users an insight into how the business is performing. We need to do this to show a different view of data, to show aggregation performed on … The basic syntax is: select id, word, qty from ( select id, 'abc' word, abc qty from yt where abc > 0 union all select id, 'brt', brt from yt where brt > 0 ) d order by id; Transpose rows to columns dynamically If you already know which columns you would be creating beforehand, you can simply use a CASE statement to create a pivot table. Script 2 displays a T-SQL code that can be used to transpose rows into columns using the Cursor function. Therefore, the execution plan and I/O statistics of each T-SQL option will be evaluated and analysed using ApexSQL Plan. I've made that specific in the ROW_NUMBER() OVER clause. The number of part numbers is highly dynamic and constantly changing so I cannot just say 50 columns as tomorrow it could just be 40 or 100. In SQL database, definitions for user defined tables are saved in system tables. Transpose Rows into Columns I have a table like:Client Process Date StatusA B 21-june YC D 22-june NA B 22-june NC D 21-june Since we don’t know which columns to be created, we will have to dynamically transpose rows to columns using GROUP_CONCAT function, as shown below. Sometimes, even these rows can be variable. I have answered a lot of MySQL pivot questions over on Stack Overflow and a few over on Database Administrators and have learned some things about how to transform data in MySQL. So you basically want to transpose rows into columns and have dynamically generated column names at the same time. User Rating 4.33 (6 votes) Hello Friends, Have you ever been in a situation where you as a developer knows that your data is stored in your table rows, but you would like to present the data as a column ? 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. Pivoting/transposing means we need to convert a row into columns. This gives the users the ability to transpose columns from a SQL Server table easily and create reports as per the requirements. ? It is not surprising then that its execution plan and operations tree will look almost similar to that of the XML option. If you notice, Marketing has got two rows, one for each of the employee’s within that department, and the same is the case for Research and Development and Accounting and Finance . If you know the columns will change regularly, it may be best to go with dynamic SQL. 1 row in set (0.00 sec) example output: The package number and then every part number after in a new column. I want to be able to select more than one value e.g test1 and exam into different column in the DYNAMIC MYSQL PIVOT TABLE. 2. Anyway, Cursors present us with another option to transpose rows into columns. The major limitation of transposing rows into columns using T-SQL Cursor is a limitation that is linked to cursors in general – they rely on temporary objects, consume memory resources and processes row one at a time which could all result into significant performance costs. Thus, unlike in the Pivot function wherein the majority of the cost was spent sorting the dataset, the majority of cost in the Cursor option is split between the Sort operation (at 46.2%) as well as the temporary TempDB object (at 40.5%). 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