These are key, because the pivot operation is treating the values in these columns as column names and this is how the breaking and grouping is done to display the data. Next Steps. Take a look at the new PIVOT option that SQL Server offers to see how you can use this ; Try to write some more complex queries to take advantage of this new option. Here's an alternative approach utilising ARRAY_AGG() which maybe more flexible. For example if you wanted to pivot the Attribute instead of the category, easy peasy. The 'category' here appears to be more of a classification or label instead of something we'd want summed. In this article, we’ll walk-through the SQL Pivot and SQL Unpivot operators and how they can be useful to transpose SQL Server data. Also, we’ll discuss both static and dynamic ways to use PIVOT and UNPIVOT relational operators that can be used to transform aggregated distinct values as column(s) in the result-set by specifying all the column values in the PIVOT IN clause. Fortunately, Snowflake users have a native way to perform pivots in SQL, with the function PIVOT (): Nevertheless, PIVOT () in Snowflake has one limitation: Users need to explicitly call out the select * from ( select prof_sk, prod_sk, rep_sk from pivot_temp) as t PIVOT ( SUM(metric_value) for metric_sk in (attainment, sales_trx, sales_nrx)) AS PivotTable Sample Data before pivot: Data after pivot required : and how to do unvipot as well via sparksql How to use pivot? I know its very dumb question, but i really cant get logic of the pivot table. SELECT AddressBase.RegionName, ObjectBase.ObjectID, YEAR (ObjectBase.CreatedOn) AS Year FROM ObjectBase INNER JOIN AddressBase ON AddressBase.ObjectID = ObjectBase.ObjectID AND AddressBase.DeleteStateCode = 0 AND ObjectBase.DeleteStateCode = 0. How? 2 Answers. Pivot each product by month separately, and then join the resulting (pivot tables) together and reorder the columns to suit your need. WITH A as ( select *, Month + '_' + Product WorkedField from Table1 A ) SELECT MONTH, ACCOUNT, sum (July_Prod1) July_Prod1, sum (July_Prod2) July_Prod2, sum (Aug_Prod2) Aug_Prod2 FROM A pivot (sum 0. You are trying to convert 2 columns date and identifier so you need 2 pivots. Please try below query, it should work. Don't hesitate to come back in case of any queries. This works in oracle but not sure if you are trying in any other dbms. select * from ( select * from ( with all_data as (select 'NAME1' fname, 123 value, 'ATR' identif, '01 CNKCArp.