MySQL supports “Window functions” beginning with version 8.0. The window functions enable you to tackle query problems in new, easier, and faster ways. The following are important considerations to remember.
- Based on a set of data, Windows and Analytic functions compute an aggregate value.
- These functions are used in the majority of RDBMS programs and are frequently utilized by data and business analysts.
- Windowing functions compute over a collection of table rows that are related to the current row by department, area, category, or date/time.
- Analytic functions can be used to generate moving averages, running totals, percentages, or top-N outcomes inside a group, among other things.
The behavior of these functions is as same as in Microsoft SQL Server, Oracle SQL*Plus, Apache Hive, etc.
For sample datasets and examples, please refer to the following articles that were posted earlier in this blog.
- Aggregate functions in analytical context
- Computing running and moving average.
- Analytical and Window functions
- Range Between, Rows Between
- First Row and last row in the window
Hope you find this article helpful.
Big Data & SQL 