In MySQL, operators in a query execution plan can be classified as streaming or blocking based on how they process and propagate rows during query execution. Let’s explore the differences between streaming and blocking operators […]
Troubleshooting redo performance in InnoDB involves identifying and addressing potential bottlenecks or issues that affect the efficiency of redo log processing. The redo log plays a critical role in ensuring data durability and crash recovery […]
Scalar subquery unnesting is a transformation technique used by the MySQL optimizer to optimize queries that involve scalar subqueries. Scalar subqueries are subqueries that return a single value, typically used in expressions or as part […]
In MySQL, you can use query hints to provide suggestions or directives to the query optimizer about how to generate the execution plan for a specific query. Query hints allow you to have more control […]
The InnoDB history list length can grow significantly if there are long-running transactions that generate a lot of undo logs or if there are frequent transactions with large amounts of data being modified. This can […]
In MySQL, undo operations are used to provide transactional consistency and to allow for rolling back changes made to the database during a transaction. Undo operations are implemented in the InnoDB storage engine, which is […]
Reducing lock contention in MySQL involves implementing various techniques and strategies that help minimize the occurrence of lock-related performance issues. Here are some of the ways to reduce lock contention in MySQL: By implementing these […]
Redo log file IO operations can significantly impact the performance of a MySQL database. The redo log is used to recover the database after a crash or unexpected shutdown. It records all changes made to […]
Locks and wait events can significantly impact MySQL performance as they can cause queries to wait, leading to slower response times and decreased performance. The main cause of lock and wait events is contention for […]
Correlated subqueries in MySQL can be slow because they require the subquery to be executed for each row in the outer query. This means that the subquery is executed repeatedly, and the results are used […]
MySQL, InnoDB and Oracle are registered trademarks of Oracle Corp. MariaDB is a trademark of Monty Program AB. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective owner. Copyrights © 2010-2023 All Rights Reserved by MinervaDB®.