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.
Learn how to perform exploratory analysis in Data Xtractor with a simple example. Discover related tables through expandable relationship items. Display conceptual many-to-many relationships for less diagram clutter. Design complex queries without typing SQL, with a generic visual interface. Generate database-specific SQL. Create inline and regular charts directly from your query results, with trivial chart type selections.
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.