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Before we dive into the meat of this article, let's start with some definitions.
RxJava: A Java VM implementation of Reactive Extensions: a library for composing asynchronous and event-based programs by using observable sequences. It is popular, as it addresses the concerns about low-level threading, synchronization, thread-safety and concurrent data structures.
Dubbo is graduating from the Apache foundation! And we are planning some major release milestones. Release 3.0 is on the way. Since there will be many new features in 3.0, we want to make sure they are up to the expectation of the community. We are now offering the 3.0.0-SNAPSHOT version. It has many preview features of the 3.0 release. In this article, I’ll introduce one of the major enhancements: the support for reactive programming.
Reactive programming enables developers to write more efficient applications, especially in a distributed architecture. The community has been asking for this feature for a long time and now we are delivering!
Not too long ago, a reactive variant of the JDBC driver was released, known as R2DBC. It allows data to be streamed asynchronously to any endpoints that have subscribed to it. Using a reactive driver like R2DBC together with Spring WebFlux allows you to write a full application that handles the receiving and sending of data asynchronously. In this post, we will focus on the database and on connecting to the database and then finally saving and retrieving data. To do this, we will be using Spring Data. As with all Spring Data modules, it provides us with out-of-the-box configuration, decreasing the amount of boilerplate code that we need to write to get our application setup. On top of that, it provides a layer upon the database driver that makes doing the simple tasks easier and the more difficult tasks a little less painful.
For the content of this post, I am making use of a Postgres database. At the time of writing only Postgres, H2 and Microsoft SQL Server have their own implementations of R2DBC drivers.