, CONSTRAINT PK_Players PRIMARY KEY CLUSTERED (PlayerID) ON We have a task to convert columns into rows.

Let’s assume we have an aggregated table that contains data about the results of the games played by each player. Now, let’s talk more about different implementations of T-SQL UNPIVOT transformations.

Also, the obtained report can be printed out, exported to various document formats, and e-mailed in the required format. The greatest advantage of this feature is that it simplifies the aggregation process and the statistical information count. It enables us to easily rearrange and pivot data to get the layout best for understanding the data relations and dependencies. To clarify, this is a data analysis tool that converts large amounts of data into concise and informative summaries. Speaking of the PIVOT operator, dbForge Studio for SQL Server provides a useful function named a pivot table. When the values disappear, it shows that there may have been original null values in the input before the PIVOT operation. Apart from that, null values in the input of UNPIVOT disappear in the output. UNPIVOT doesn’t reproduce the initial table-valued expression result since rows have been merged. PIVOT aggregates data and can merge a bunch of rows into a single row. It is only possible if the pivoted table doesn’t contain aggregated data. Nevertheless, note that UNPIVOT is not a complete opposite of the PIVOT function. In order to reverse a PIVOT operator, that is, to convert data from column-level back to row-level and get the original table, you can use the UNPIVOT operator. PIVOT (AVG(price) FOR screen IN(,, ,, ) SELECT 'average price' AS 'avg_', screen, price FROM laptops) x To achieve this result in SQL Server, you need to run the following script: SELECT, ,, ,, If we pivot it by the first column ‘screen’, we will get the following result: It also enables us to perform aggregations, wherever required, for column values that are expected in the final output. We use PIVOT when there is a need to convert table rows into columns. The PIVOT and UNPIVOT relational operators are used to change a table-valued expression into another table and involve data rotation. To start, let’s give definitions and highlight the difference between PIVOT and UNPIVOT operators in SQL Server.

Excel row to column conversion