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Spring Data JPA is a powerful abstraction over JPA (Java Persistence API), simplifying the data access layer for developers. Among its numerous features, Stream Query methods stand out for enabling efficient and memory-conscious data retrieval, especially when dealing with large datasets.

In Spring Data JPA, projections provide a powerful way to retrieve specific fields or subsets of data from database without needing to load entire entities. This can help improve performance and reduce memory usage, especially when dealing with large data sets.

Spring Data JPA provides multiple ways to query data from a database, supporting various use cases, from simple to complex retrievals. In this post, we'll dive into each query type, explaining what it is, when to use it, providing examples to demonstrate how it work to help you decide the best approach for your projects.

When working with Java Persistence API (JPA), querying your data effectively is crucial. While JPQL (Java Persistence Query Language) is the most commonly used method for querying entities, JPA also offers another powerful option - Criteria Queries.

What happens when your application needs to handle a large volume of requests? One of the best solutions is to scale your application horizontally and implement load balancers. But what exactly is a load balancer, how does it work, and why should you use AWS-managed load balancer services? Let me explain it to you in this article.