How to resolve the consistency issues in MyBatis caching?

MyBatis offers two levels of caching mechanisms: first-level cache and second-level cache. The first-level cache is enabled by default, operating at the SqlSession level, and only valid within the same SqlSession. On the other hand, the second-level cache functions at the Mapper level and can be utilized across different SqlSessions.

There are several ways to address the consistency issues with MyBatis caching.

1. Refresh cache: After database update operations (insert, delete, update), manually refresh the cache. This can be done by using SqlSession.clearCache() method to clear the first-level cache, or by using SqlSessionFactory.getConfiguration().getCache(namespace).clear() method to clear the second-level cache.
2. Disable caching: To ensure data consistency for certain query operations, caching can be disabled. You can do this by adding the @Options(useCache = false) annotation to the method in the Mapper interface, or by setting useCache=”false” in the tag in the Mapper.xml file.
   Implementing cache refresh strategy: MyBatis offers cache refresh strategies that can be configured in the configuration file. For instance, you can configure scheduled cache refreshing or refreshing the cache under specific conditions.
   Consider using distributed caching such as Redis or Memcached to ensure cache consistency among multiple nodes if the system is deployed in a distributed manner.

   The appropriate solution should be chosen based on the specific business scenario and system requirements.

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