The text discusses the process of migrating workloads from SQL Server to PostgreSQL, specifically focusing on the implementation of the PIVOT function. It highlights the limitations of using CASE WHEN statements in SQL Server for dynamic reports and introduces the crosstab function from PostgreSQL’s tablefunc extension as a more flexible alternative. The solution involves creating a PostgreSQL function called get_dynamic_pivot_data that utilizes crosstab to dynamically generate columns based on query results.
To test the function, users need to provision either Amazon Aurora PostgreSQL or Amazon RDS for PostgreSQL and install a PostgreSQL client tool. For those using C#, .NET SDK 8 and Visual Studio Code must be installed. The text provides detailed steps for creating sample tables and stored procedures in SQL Server, along with the equivalent setup in PostgreSQL, including the use of the crosstab function and cursor management. It emphasizes the need for security measures, such as storing database credentials in AWS Secrets Manager. The author encourages sharing experiences related to implementing PIVOT functionality in PostgreSQL.