AVAILABLE WINDOW FUNCTIONS
MariaDB offers a wide range of built-in window functions to cater to various analytical requirements. These functions include popular ones such as SUM(), AVG(), COUNT(), MIN(), MAX(), and more. Additionally, specialized functions like RANK(), DENSE_RANK(), ROW_NUMBER(), LAG(), and LEAD() enable advanced analytical computations.
USE CASES
Window functions find utility in a multitude of scenarios. This section explores some practical use cases where window functions can be applied effectively. Examples include calculating moving averages, generating cumulative sums, identifying top-n records, calculating percentage shares, and detecting trends over time.
PERFORMANCE
While window functions provide immense analytical capabilities, it is essential to consider their performance implications. As window functions operate on a set of rows, their execution requires careful optimization to ensure efficient query processing
CONCLUSION
Window functions in MariaDB empower users to perform complex analytical computations while maintaining row-level details. With its robustness and performance, MariaDB continues to be an excellent choice for utilizing window functions in relational database environments.
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