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Java Persistence API (JPA) is a powerful tool for managing data persistence in Java applications. However, working with JPA queries can sometimes feel like solving a complex puzzle. Whether you're crafting dynamic queries, optimizing performance, or debugging unexpected results, there’s always something new to learn. One of the most fascinating aspects of JPA is its flexibility. From JPQL to Criteria API and native SQL, developers have multiple ways to interact with their data. But this flexibility often raises questions: When should you use JPQL over Criteria API? How do you handle performance bottlenecks in large datasets? What’s the best approach to avoid the infamous

Feb 25, 2025 - 22:23
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Java Persistence API (JPA) is a powerful tool for managing data persistence in Java applications. However, working with JPA queries can sometimes feel like solving a complex puzzle. Whether you're crafting dynamic queries, optimizing performance, or debugging unexpected results, there’s always something new to learn.

One of the most fascinating aspects of JPA is its flexibility. From JPQL to Criteria API and native SQL, developers have multiple ways to interact with their data. But this flexibility often raises questions:

  • When should you use JPQL over Criteria API?
  • How do you handle performance bottlenecks in large datasets?
  • What’s the best approach to avoid the infamous
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