This operator tells the pivot operator on which column do we need to apply the pivot function. The FOR keyword is a special keyword used for the pivot table in SQL Server scripts. It is mandatory for the pivot operator to use an aggregated column that it can display for the values sections. In the script, I have used the SUM operator, which will essentially aggregate the values from the Marks column so that it can be used in the pivot table. In the script, we also mention some specific keywords like SUM, FOR and IN, which are meant for use by the PIVOT operator only. If you see the script, clearly, we can divide it into two separate sections – the first part in which we select data from the original table as it is and in the second part, we define how the pivot table should be created. Now let us try to break the above script and understand how it works. You can execute the script below to create sample data, and we will try to implement the above illustration here.Īs you can see in the figure above, the pivot table has been created and we have converted the rows for Subjects into distinct columns. Now that we have some idea about how a pivot table works let us go ahead and try our hands-on. In the above illustration, the rows are taken from the Student column, the columns are taken from the Subject, and the values are created by aggregating the Marks column. Basically, a pivot table will contain three specific areas, mainly – rows, columns, and values. The table on the right is a pivot table that is generated by converting the rows from the original table into columns. The table on the left is the actual table that contains the original records. If you see the figure above, you can see that there are two tables. If you see the figure below, you’ll have some idea how a pivot table is created from a table. Some pivot tables are also created to help in data analysis, mainly for slicing and dicing with the data and generate analytical queries after all. This gives the users the ability to transpose columns from a SQL Server table easily and create reports as per the requirements. Essentially, the user can convert rows into columns. It is generally used to report on specific dimensions from the vast datasets. Pivot tables are a piece of summarized information that is generated from a large underlying dataset. In this article, I am going to explain how we can create a dynamic pivot table in SQL Server.
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