In JavaWeb applications, is it reasonable for Dao layer to cache all personnel entity classes?

Java Web Application Dao-layer Entity Caching: Pros and Cons

In Java Web application development, optimizing database access performance is crucial. Recently, a developer proposed a solution to cache all personnel entity classes at the Dao layer for application scenarios of small teams (10-20 people) to improve data access efficiency. The scheme uses a Druid data source and plans to load all entities into a collection via SELECT * FROM xxx; query on first access.

However, this global caching strategy is not recommended under the premise of small data volume and low performance requirements. The potential problems may outweigh the performance benefits.

Risks of global caching:

1. Data consistency problem: Frequent data updates will lead to inconsistent cached data and database data, resulting in information bias.
2. Memory consumption: Even if the data volume is small, cached all entities will still occupy memory resources, especially in multi-application environments, which may trigger resource competition and affect the overall performance of the system.
3. Improved system complexity: the introduction of a cache mechanism will increase the code complexity, and additional processing of cache updates, failures and other logics will be required to increase maintenance costs and error probability.
4. Limited performance improvement: In small-scale data scenarios, database query speeds are usually fast enough, and the performance improvements brought by cache may be trivial.

Better strategy:

In the early stages of development, priority is given to code maintainability and correctness of business logic. Only after clearly identifying the performance bottleneck, targeted optimization will be considered. Optimization of the database itself, such as the rational use of indexes, is often more effective than global cache. If you do need caching, you can consider choosing a more refined caching strategy based on your business needs, such as:

• Local cache: Only cache specific users or commonly used data.
• Time-based or access frequency cache: Dynamically adjust the cache policy based on the data update frequency or access frequency.
• Use mature caching frameworks: such as Redis or Ehcache, which provide a more complete cache management mechanism and reduce development and maintenance costs.

In short, avoid over-optimization without clear performance bottlenecks. Global cache of all human entity classes is usually not worth the effort in small Java web applications.

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