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August 21, 2024

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JPA August 2, 2023

Avoid these 5 Common Performance Pitfalls in Spring Data JPA: Practical Solutions and Tips

In the world of JVM backend development, Spring Data JPA is an indispensable tool. It provides a convenient and powerful way to manage and manipulate data. However, like any powerful tool, there are pitfalls that can affect performance. In this article, we will explore five common performance pitfalls in Spring Data JPA and present solutions to avoid them. 1. Index Definition with Spring Data JPA One commonly overlooked aspect when working with Spring Data JPA is the proper definition of indexes.

Marcus Held

JPA July 26, 2023

Efficient Data Queries with Spring Data JPA Projections

In the world of JVM Backend Development, efficient data processing is a crucial concern. One of the main strengths of Spring Data JPA lies in its ability to simplify and optimize interaction with the persistence layer. A particularly powerful feature provided by Spring Data JPA is the use of projections. They offer an excellent way to make data queries more efficient and improve system performance. What are Spring Data JPA Projections?

Marcus Held

JPA July 19, 2023

The Hi/Lo Algorithm in Hibernate: Optimizing Database Identifier Generation

In the world of JVM persistence, Hibernate has a firm place. As one of the most popular frameworks for data persistence, it offers a multitude of possibilities to make developers’ lives easier. One of these possibilities is the Hi/Lo algorithm, a database identifier generation strategy that allows reducing the number of database calls when new entities are persisted. The Challenge of Identifier Generation Before we dive into the Hi/Lo algorithm, let’s briefly look at the challenge of identifier generation in a database.

Marcus Held

JPA July 12, 2023

Avoiding Multiple Data Fetches Using the First-Level-Cache in Spring Data JPA

If you’re dealing with backend development on the JVM, you’ll surely come across the Java Persistence API (JPA). A well-known implementation framework for it is Hibernate. In this article, we’ll show you how you can optimize the performance of your application in Spring Data JPA with caching by preventing the same resources from being fetched multiple times. What is the First-Level-Cache? Spring Data JPA uses Hibernate as the default ORM (Object-Relational Mapping), which provides an inbuilt First-Level-Cache.

Marcus Held

JPA July 5, 2023

Hibernate ORM: Eager or Lazy Loading? When to Use Each

Hibernate is a well-established Object-Relational Mapping (ORM) framework that is widely used in Java development. This framework helps developers optimize the code for database operations such as fetching data. Choosing the right fetching strategy - Eager Loading or Lazy Loading - is crucial for your application’s performance. In this article, we will examine these two strategies and discuss when and how you should use them in your Spring Data project.

Marcus Held