Spring Boot performance monitoring

Introduction To ensure that your Spring Boot application fulfills the SLA (Service Level Agreement) requirements, you need a performance monitoring tool. In this article, I’m going to show you how you can monitor the data access layer of a Spring Boot application using Hypersistence Optimizer.

Read-write and read-only transaction routing with Spring

Introduction In this article, I’m going to explain how you can implement a read-write and read-only transaction routing mechanism using the Spring framework. This requirement is very useful since the Single-Primary Database Replication architecture not only provides fault-tolerance and better availability, but it allows us to scale read operations by adding more replica nodes.

Spring Boot performance tuning

Introduction While developing a Spring Boot application is rather easy, tuning the performance of a Spring Boot application is a more challenging task, as, not only it requires you to understand how the Spring framework works behind the scenes, but you have to know what is the best way to use the underlying data access framework, like Hibernate for instance. In a previous article, I showed you how easily to optimize the performance of the Petclinic demo application. However, by default, the Petclinic Spring Boot application uses the in-memory HSQLDB database, which… Read More

Tuning Spring Petclinic JPA and Hibernate configuration with Hypersistence Optimizer

Introduction In this article, we are going to see how we can tune the performance of the Spring Petclinic application using Hypersistence Optimizer. Now, while you can manually analyze your data access layer to make sure that JPA and Hibernate are properly configured, it’s much better if you can automate this task. That’s because new entities might be mapped in the future, and you want to make sure that the same performance-specific rules are consistently applied on every commit. Hypersistence Optimizer allows you to automatically detect JPA and Hibernate issues during development,… Read More

Spring request-level memoization

Introduction Memoization is a method-level caching technique for speeding-up consecutive invocations. This post will demonstrate how you can achieve request-level repeatable reads for any data source, using Spring AOP only. Spring Caching Spring offers a very useful caching abstracting, allowing you do decouple the application logic from the caching implementation details. Spring Caching uses an application-level scope, so for a request-only memoization we need to take a DIY approach.

The Builder pattern and the Spring framework

Introduction I like to make use of the builder pattern whenever an object has both mandatory and optional properties. But building objects is usually the Spring framework responsibility, so let’s see how you can employ it using both Java and XML-based Spring configurations.

JOOQ Facts: SQL functions made easy

Introduction The JDBC API has always been cumbersome and error-prone and I’ve never been too fond of using it. The first major improvement was brought by the Spring JDBC framework which simply revitalized the JDBC usage with its JdbcTemplate or the SqlFunction classes, to name a few. But Spring JDBC doesn’t address the shortcoming of using string function or input parameters names and this opened the door for type-safe SQL wrappers such as jOOQ. JOOQ is the next major step towards a better JDBC API and ever since I started using it… Read More

Why I like Spring bean aliasing

Spring framework is widely used as a dependency injection container, and that’s for good reasons. First of all, it facilitates integration testing and it gives us the power of customizing bean creation and initialization (e.g. @Autowired for List types). But there is also a very useful feature, that might get overlooked and therefore let’s discuss about bean aliasing. Bean aliasing allows us to override already configured beans and to substitute them with a different object definition. This is most useful when the bean definitions are inherited from an external resource, which is… Read More

Batch processing best practices

Introduction Most applications have at least one batch processing task, executing a particular logic in the background. Writing a batch job is not complicated but there are some basic rules you need to be aware of, and I am going to enumerate the ones I found to be most important. From an input type point of view, the processing items may come through polling a processing item repository or by being pushed them into the system through a queue. The following diagram shows the three main components of a typical batch processing… Read More

Why I like Spring @Autowired for List types

Spring Framework dependency injection is great, and almost every Java developer uses it nowadays. Using @Autowired to inject Java Beans is trivial, but we can also use this annotation for java.util.List, or java.util.Map as well. The former will inject a list of all Java Beans matching the List’s Generic type, while the latter will create a map of these beans mapped by their names. How I’ve been taking advantage of this feature? Since I was developing an application which has a framework module and a specific customer implementation module, there were cases… Read More