Sql server pivot12/17/2022 We can improvise the above query by adding one more column in the SELECT list. The above query produces the is the following pivoted resultset which is what we wanted. The second part of the query is the PIVOT which gets the product_id’s from the temp_table, takes their count and maps them to the static category_names provided explicitly with the FOR clause. The first part of the query is the same above query (which has already been shown separately for understanding but is an integral part of the below complete query). Now we will apply the PIVOT operator on the derived table which contains the above resultset to format the resultset as we want it. We have not taken the count of the product_id here but just extracted the relevant data from the tables and stored it in the derived table temp_table. The resultset of the above query is the following. The following SELECT query fetches the base data and stores it in a temporary table called temp_table. Then we can then apply the PIVOT operator on it. But to do so we have to first fetch the required data (called base data) from the tables using SELECT query and store it in a temporary table (called derived table). Headphone, Mobile, Tablet) so that it can hold the count of products (4, 2, 6) in each category. The PIVOT operator as mentioned in the introduction will turn the table around on the category_name column value (i.e. We can do so with the help of the PIVOT operator. Now suppose we want the above data in the below format with the number of products under each category. p and c are table aliases for products and categories tables and product_count is the column alias for the aggregated product_id column. By doing so it determines the number of products available for each category. The INNER JOIN retrieves the values of the category_name column from the categories table. We can do so with the help of the following query which uses the GROUP BY function on the category_name column and count aggregate function on the product_id column. we want to find out how many types of mobiles, how many types of headphones do we have in our stock for sale. Suppose we want to get the count of products belonging to the different categories i.e. We will use them as our reference for the examples. The categories table contains some category names to which the products belong and the products table contains the names of products belonging to one or another category. Let us consider two tables – categories and products. We will try to understand the above PIVOT query and operation with the help of an example.
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