JDBC Profiling with VisualVM
Introduction In this article, we are going to see how we can do JDBC profiling using the VisualVM tool to find slow-running SQL queries or discover N+1 query issues.
Java application performance tuning using Lightrun
Introduction In this article, I’m going to show you analyze a Java application using Lightrun so that you can discover various performance tuning improvements you could apply to your current Java application. In this previous article, I explained what Lightrun is and how you can use it to inject dynamic logs, capture runtime snapshots, or add dynamic metrics. In this article, I’m going to use Lightrun as an alternative to my JPA Association Fetching Validator.
The best way to write a Spring Data Exists Query
Introduction In this article, I’m going to show you the best way to write a Spring Data Exists Query that’s efficient from an SQL perspective. While doing consulting, I’ve encountered several options that are commonly used without developers knowing there are actually better alternatives.
Spring Boot Application Properties
Introduction In this article, I’m going to show you the best way to configure the Spring Boot Application Properties file. This is not just theoretical advice. I applied all these tips when developing RevoGain, a web application that allows you to calculate the gains you realized while trading stocks, commodities, or crypto using Revolut.
The JPA and Hibernate second-level cache
Introduction In this article, I’m going to explain how the JPA and Hibernate second-level cache mechanism works and why they are very important when it comes to improving the performance of your data access layer.
SQL Seek Method or Keyset Pagination
Introduction In this article, we are going to see what the SQL Seek Method or Keyset Pagination is and why you should consider it when navigating over large results sets. The goal of pagination is to avoid fetching large volumes of data since the UI has a limited viewport that could be used to display data.
9 High-Performance Tips when using Oracle with JPA and Hibernate
Introduction In this article, I’m going to show you 9 tips that will help you speed up your Oracle database application when using JPA and Hibernate. To get the most out of the relational database in use, you need to make sure the data access layer resonates with the underlying database system, so, in this article, I’m going to present you several tips that can boost up the performance of your Oracle, JPA and Hibernate applications.
Hibernate Application Performance Tuning
Introduction Because performance tuning is very important when it comes to developing a data access layer, in this article, I’m going to show you how you can optimize the famous Hibernate Caveat Emptor application using Hypersistence Optimizer. The Caveat Emptor application was created by Christian Bauer and Gavin King for the Hibernate in Action book they published in 2004 and was included in both the first and second editions of the well-known Java Persistence with Hibernate book.
How to index JSON columns using MySQL
Introduction In this article, I’m going to explain how we can index JSON columns when using MySQL. While other relational database systems provide GIN (Generalized Inverted Index) indexes, MySQL allows you to index a virtual column that mirrors the JSON path expression you are interested in indexing.
Connection Monitoring with JPA and Hibernate
Introduction In this article, I’m going to show you how you can set up connection monitoring for your JPA and Hibernate application, no matter if you are using Spring or other application frameworks.
