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Hands-On High Performance with Spring 5

Hands-On High Performance with Spring 5

By : Mehta, Subhash Shah, Shah, Prashant Goswami, Dinesh Radadiya
5 (1)
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Hands-On High Performance with Spring 5

Hands-On High Performance with Spring 5

5 (1)
By: Mehta, Subhash Shah, Shah, Prashant Goswami, Dinesh Radadiya

Overview of this book

While writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared toward detecting bottlenecks. The recent release of Spring 5.0 brings major advancements in the rich API provided by the Spring framework, which means developers need to master its tools and techniques to achieve high performance applications. Hands-On High Performance with Spring 5 begins with the Spring framework's core features, exploring the integration of different Spring projects. It proceeds to evaluate various Spring specifications to identify those adversely affecting performance. You will learn about bean wiring configurations, aspect-oriented programming, database interaction, and Hibernate to focus on the metrics that help identify performance bottlenecks. You will also look at application monitoring, performance optimization, JVM internals, and garbage collection optimization. Lastly, the book will show you how to leverage the microservice architecture to build a high performance and resilient application. By the end of the book, you will have gained an insight into various techniques and solutions to build and troubleshoot high performance Spring-based applications.
Table of Contents (14 chapters)
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Optimal fetch size

The network traffic between the application and the database server is one of the key factors of your application performance. If we can reduce the traffic, it will help us improve the performance of the application. The fetch size is the number of rows retrieved from the database at one time. It depends on the JDBC driver. The default fetch size of most of the JDBC drivers is 10. In normal JDBC programming, if you want to retrieve 1,000 rows, then you will need 100 network round-trips between the application and database server to retrieve all of the rows. It will increase the network traffic, and also impact performance. But if we set the fetch size to 100, then the number of network round-trips will be 10. This will greatly improve the performance of your application.

Many frameworks, such as Spring or Hibernate, give you very convenient APIs to do this....

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