Unlike traditional programming, reactive programming revolves around asynchronous data streams. However, code is usually written linearly, one step after another. Reactive programming offers a way for developers to deal with scenarios where events occur unpredictably and where data isn’t sequential.
Let’s explore this concept in depth in the following paragraphs, starting with the fundamental principles of reactive programming.
What are the 3 fundamental principles of reactive programming?
There are three fundamental principles that make reactive programming stand out:
1. Asynchronous data streams
This is the central part of how reactive systems process data. As I explained in the introduction, code is written linearly in traditional programming. The problem with this method is that it can lead to delays and even performance problems.
That’s where reactive programming comes in.
Asynchronous data streams let programs handle their tasks efficiently and concurrently. There’s no need to wait for one step before completing another.
That’s an excellent approach when handling tasks that take variable amounts of time due to the ability to handle large amounts of tasks simultaneously.
Backpressure is a concept in reactive programming that ensures the client can handle incoming data. Should the client be unable to cope, the server is signaled either to slow down or pause entirely until it’s ready to process more data again.
This ensures that processing is efficient and that the client isn’t overwhelmed with data.
3. Data flow
Data streams are a primary element of reactive programming. These represent the sequence of events that occur with time. Streams can be filtered, combined, or otherwise changed to create new ones.
With reactive programming, developers are afforded the ability to build in-depth and dynamic applications.
What are the 5 primary benefits of reactive programming?
What are the benefits of reactive programming? I’ve compiled a list of the primary ones that become immediately apparent to you on developing a reactive system:
Thanks to reactive programming, the system can remain responsive even on failure.
How does this happen? Well, a failure’s impact is suppressed within each component. This means that because failures are isolated, a failure in a single part of the system doesn’t affect the rest.
This failure can be fixed independently from the rest of the system.
Because the system is so responsive, you can easily detect and tend to issues as needed. In addition, responsive systems will deliver consistent service quality.
This comes with the secondary benefit of gaining trust from end users. It also encourages end users to recommend the software on this basis alone.
Because reactive systems can handle many events simultaneously, they’re much more scalable than traditional ones. Traditional imperative systems, for instance, rely on blocking threads and calls to handle concurrency.
Software development has a lot more potential with reactive systems.
The declarative style of reactive systems helps developers more clearly express the intent of the application. This leads to code that is easier to maintain and more straightforward to troubleshoot.
Reactive systems are, as the name suggests, reactive. As input workloads evolve and change, the system can decrease and increase as needed.
This means that there won’t be central bottlenecks.
You can replicate or shard components and distribute input workloads to these components accordingly.
4 typical real-world applications of reactive programming
Now that I’ve gone over the principles and benefits of reactive programming, the question begs itself — how can it be applied in real-world situations?
Well, here are four common uses for reactive programming:
Reactive programming, when applied to streaming services, provides for the efficient processing of media streams. This comes with two main benefits, (1) buffer time is reduced, and (2) playback remains smooth.
And because reactive programming is equipped to handle many concurrent media streams, user experience is enhanced.
2. Data analytics
As you can imagine, reactive programming is well-suited for dealing with rich amounts of data. It can quickly generate insights because it effectively processes data in real time. This vastly improves wait time and user experience.
You probably guessed this one. Game developers are increasingly incorporating reactive programming.
Why? Because games have become incredibly dynamic and complex and this kind of programming lets developers create interactive gaming experiences.
Gaming is continually evolving, and the demands are ever-growing. Reactive programming meets the demands of the present day.
4. Web applications
Web applications have become much more demanding, and so have users. Modern web applications built with reactive programming are ideal for rich and interactive UIs and real-time updates. Web applications also become much more user-friendly and responsive.
A powerful paradigm
Reactive programming lets developers make flexible, maintainable, scalable, responsive, and resilient software. Applications developed using reactive systems are more dynamic and can easily handle concurrent events. It’s a powerful paradigm indeed.