This guide explains MyBatis's two‑level caching mechanism, shows how to use the default first‑level cache and manually enable the second‑level cache in a Spring Boot project, includes code examples, test cases, third‑party Ehcache integration, and key considerations for safe deployment.
This article explains what MyBatis second‑level cache is, why it’s needed, how to configure it globally and per‑mapper, the underlying CachingExecutor mechanism, and typical scenarios where enabling the cache can dramatically reduce database load and speed up read‑heavy applications.
This article explains how MyBatis first‑level (session) and second‑level (cross‑session) caches work, the conditions required for them to function, common pitfalls when integrating with SpringBoot, and step‑by‑step instructions to enable and safely use second‑level caching in real projects.
The article explains MyBatis first‑level and second‑level caching mechanisms, their activation conditions, integration pitfalls with Spring Boot, and how to enable and use them safely, including configuration steps, code examples, and warnings about hidden risks of second‑level cache.
This article explains the principles, implementation steps, and configuration of MyBatis first‑level (SqlSession) and second‑level (mapper) caches, compares their scopes and behaviors, and provides practical guidance on when and how to enable each cache to improve database query performance.
This guide explains what caching is, why it’s essential for database‑driven applications, and how MyBatis implements first‑level and second‑level caches, including configuration steps, sample code, execution results, and key considerations to ensure effective cache usage.
This article explains the principles and practical usage of MyBatis first‑level and second‑level caches, describing how caching reduces database load, showing configuration steps, code demonstrations, flow diagrams, and important considerations such as cache invalidation and LRU eviction.
This article explains the concepts of MyBatis first-level and second-level caches, demonstrates how they work with practical Java code, shows configuration methods, and highlights important considerations such as cache invalidation and eviction policies.
This article explains MyBatis's first‑level and second‑level caching mechanisms, demonstrates data inconsistency problems caused by joined‑table queries, and provides a custom annotation‑driven relation cache solution with code examples for configuring and validating the cache behavior.
This article explains the purpose, differences, default settings, and practical verification of MyBatis first‑level and second‑level caches in Spring Boot, showing how cache scope, transaction boundaries, and mapper configuration affect cache behavior and performance.
