Introduction I found this question on the Hibernate forum, and it’s a very good opportunity to show why mastering Windows Functions is a very important skill for any backend software developer.
Introduction PostgreSQL, like many modern RDBMS, offers both MVCC (Multi-Version Concurrency Control) and explicit pesimistic locking for various use cases when you want a custom concurrency control mechanism. However, PostgreSQL also offers advisory locks which are very convenient to implement application-level concurrency control patterns. In this article, we are going to explain how PostgreSQL advisory locks work and how you should use them.
Introduction In Concurrency Control theory, there are two ways you can deal with conflicts: You can avoid them, by employing a pessimistic locking mechanism (e.g. Read/Write locks, Two-Phase Locking) You can allow conflicts to occur, but you need to detect them using an optimistic locking mechanism (e.g. logical clock, MVCC) Because MVCC (Multi-Version Concurrency Control) is such a prevalent Concurrency Control technique (not only in relational database systems, in this article, I’m going to explain how it works.
Introduction Today, one of my Twitter followers sent me the following StackOverflow question, and, while answering it, I realized that it definitely deserves a post of its own. In this post, I will explain how you can encrypt and decrypt data with Hibernate.
Introduction While doing my High-Performance Java Persistence training, I came to realize that it’s worth explaining how a relational database works, as otherwise, it is very difficult to grasp many transaction-related concepts like atomicity, durability, and checkpoints. In this post, I’m going to give a high-level explanation of how a relational database works internally while also hinting some database-specific implementation details.
Introduction As previously explained, you can run database integration tests 20 times faster! The trick is to map the data directory in memory, and my previous article showed you what changes you need to do when you have a PostgreSQL or MySQL instance on your machine. In this post, I’m going to expand the original idea, and show you how you can achieve the same goal using Docker and tmpfs.
Introduction Since not all relational database systems support JSON types, Hibernate does not come with a built-in JSON Type mapper. Traditionally, all custom types have been supplied via a UserType implementation. However, a UserType is not very developer-friendly so, in this post, I’m going to show how you can do a better job using AbstractSingleColumnStandardBasicType instead.
Introduction This article is part of a series of posts related to calling various relational database systems stored procedures and database functions from Hibernate. The reason for writing this down is because there are many peculiarities related to the underlying JDBC driver support and not every JPA or Hibernate feature is supported on every relational database.
Introduction In-memory databases such as H2, HSQLDB, and Derby are great to speed up integration tests. Although most database queries can be run against these in-memory databases, many enterprise systems make use of complex native queries which can only be tested against an actual production-like relational database. In this post, I’m going to show you how you can run PostgreSQL and MySQL integration tests almost as fast as any in-memory database.