Working at Nextail I saw that those millions of records were peanuts, and that the volume of data I handled was low compared to what a modern database is capable of managing.Īt Nextail any data from our customers is relevant and, for each of them, we handle tables with billions of rows taking the database to the limit. In my past startup, Otogami, we had a history of some tens of millions of records and thought there were many. Below is an example of an ol’ school XML-based mapping and more current annotation based mapping for the same entity.Throughout my professional career, when a database had several million records, I considered that I handled a large volume of data (without reaching Big Data). The JPA (Java Persistence API) was created and it is entirely defined as Java annotations (besides XML) which increase code readability and maintainability. With the advent of Hibernate (and many similar tools) the Java EE team decided to propose a new pattern to guide ORM frameworks using a single language. Use Hibernate Old Fashioned Way, without Spring These two models are similar in that both work using similar structures to represent business logic, and they are distinct in that they were designed for different purposes: one to store data, other to describe behavior. The relational model, which is prevalent in databases, and the object-oriented model. Fast forward to today, and most Java applications use both Spring and Hibernate.įor some time now, developers have operated under one of two separate but distinct models to represent business entities. Shortly after, Spring came along and added abstractions for Hibernate that took API simplification even further.
Not only that, but it had a very Java-esque API that made it easy to create CRUD POJOs. Hibernate came along and changed everything by allowing you to map POJOs (plain ol’ Java objects) to database tables. Not only that, but there’s nothing in JDBC that helps you create your database. Using JDBC can be tedious if you don’t like writing SQL.
If you’ve been developing for more than 15 years, you probably remember the days of JDBC in Java.
Java developers typically encounter the need to store data on a regular basis.
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