How to map a PostgreSQL HStore entity property with JPA and Hibernate
Introduction The open-source hibernate-types project allows you to map a great variety of database types that are not supported natively by Hibernate ORM (e.g. JSON, ARRAY, YearMonth, Month, INET addresses). In this article, we are going to see how you can map a PostgreSQL HStore type, which allows you to store key/value pairs, to a Java Map entity property when using JPA and Hibernate.
How to map a PostgreSQL Enum ARRAY to a JPA entity property using Hibernate
Introduction The open-source hibernate-types project allows you to map JSON, ARRAY, YearMonth, Month or database-specific columns (e.g. INET addresses). In this article, we are going to see how you can map a PostgreSQL Enum ARRAY type to a Java array entity property when using JPA and Hibernate.
How to map the PostgreSQL inet type with JPA and Hibernate
Introduction In this article, we are going to see how to map the PostgreSQL inet type with JPA and Hibernate. Traditionally, PostgreSQL has been offering more column types than other relational database systems. Previously, I showed you how to map JSON and ARRAY as Hibernate Types, and mapping the PostgreSQL inet type is going to be just as easy. You don’t even have to implement these types since they are available via the hibernate-types project.
Hibernate database schema multitenancy
Introduction As I explained in this article, multitenancy is an architectural pattern which allows you to isolate customers even if they are using the same hardware or software components. There are multiple ways you can achieve multitenancy, and in this article, we are going to see how you can implement a multitenancy architecture using the database schema as the unit of isolation.
A beginner’s guide to database multitenancy
Introduction In software terminology, multitenancy is an architectural pattern which allows you to isolate customers even if they are using the same hardware or software components. Multitenancy has become even more attractive with the widespread adoption of cloud computing. A relational database system provides a hierarchy structure of objects which, typically, looks like this: catalog -> schema -> table. In this article, we are going to see how we can use each of these database object structures to accommodate a multitenancy architecture.
