Hibernate database catalog 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 catalog 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.

The best way to use SQL functions in JPQL or Criteria API queries with JPA and Hibernate

Introduction When executing an entity query (e.g. JPQL, HQL or Criteria API), you can use any SQL function without having to register it as long as the function is passed directly to the WHERE clause of the underlying SQL statement. However, if the SQL function is used in the SELECT clause, and Hibernate has not registered the SQL function (be it a database-specific or user-defined function), you will have to register the function prior to using it in an entity query. In this article, you are going to learn various ways to… Read More

JDBC Driver Connection URL strings

Introduction Ever wanted to connect to a relational database using Java and didn’t know the URL connection string? Then, this article is surely going to help you from now on.

9 High-Performance Tips when using MySQL with JPA and Hibernate

Introduction Although there is an SQL Standard, every relational database is ultimately unique, and you need to adjust your data access layer so that you get the most out of the relational database in use. In this article, we are going to see what you can do to boost up performance when using MySQL with JPA and Hibernate.

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