Visual description of the ROWS, RANGE and GROUPS window function clauses. Understand what frame is selected when used on a set with duplicate values. Get the difference between a current row and a current group. Think in terms of either individual rows, or groups with duplicates. Use offset rows, groups or values.
Why and when ROWS CURRENT ROW and RANGE CURRENT ROW return different results. How you can visually design this SQL query with window functions and prevent this confusion.
Use one single generic SQL Left Pad string function (LeftPad) for any built-in LPAD function or its emulation with a SQL expression. This article walks through in detail over the generated SQL when LPAD was supported or not. Select LeftPad from our visual SQL query builder, and it will be translated into the appropriate call.
Design SQL queries with window functions and reusable OVER clause declarations, regardless of whether or not your database supports the standard SQL WINDOW definition. Design visual SQL queries using MySQL window functions through Data Xtractor. Generate reusable WINDOW definitions, or simply isolate a reusable OVER clause in the visual designer.
This permanently updated list shows all database products with built-in native support for Window Functions. This includes the OVER clause, named windows or window chaining with the WINDOW clause, together with ranking functions, offset navigational functions and other related functions.