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Languages based in Java often involve verbose syntax and domain-specific languages for testing, parsing and numerical compute processes. These things can be the bane of developers, because the piles of repetitive code require developers to spend extra time combing through it to find errors.
As a general-purpose programming language, Scala can help alleviate these issues by combining both object-oriented and functional styles. To mitigate syntax complexities, Scala also fuses imperative programming with functional programming and can advantageously use its access to a huge ecosystem of Java libraries.
This article examines Scala's Java versatility and interoperability, the Scala tooling and runtime features that help ensure reliable performance, and some of the challenges developers should watch out for when they use this language.
What is Scala?
Scala attracted wide attention from developers in 2015 due to its effectiveness with general-purpose cluster computing. Today, it's found in many Java virtual machine (JVM) systems, where developers use Scala to eliminate the need for redundant type information. Because programmers don't have to specify a type, they also don't have to repeat it.
Developers can also rely on Scala to more effectively express general programming patterns. By reducing the number of lines, programmers can write type-safe code in an immutable manner, making it easy to apply concurrency and to synchronize processing.
The power of objects
In pure object-oriented programming (OOP) environments, every value is an object. As a result, types and behaviors of objects are described by classes, subclasses and traits to designate inheritance. These concepts enable programmers to eliminate redundant code and extend the use of existing classes.
Scala treats functions like first-class objects. Programmers can compose with relatively guaranteed type safety. Scala's lightweight syntax is perfect for defining anonymous functions and nesting. Scala's pattern-matching ability also makes it possible to incorporate functions within class definitions.
Java developers can quickly become productive in Scala if they have an existing knowledge of OOP, and they can achieve greater flexibility because they can define data types that have either functional or OOP-based attributes.
Challenges of working with Scala
Some of the difficulties associated with Scala include complex build tools, a lack of support for advanced integrated development environment language features and project publishing issues. Other criticisms aim at Scala's generally limited tooling and difficulties working with complex language features in the codebase.
Managing dependency versions can also be a challenge in Scala. It's not unusual for a language to cause headaches for developers when it comes to dependency management, but that challenge is particularly prevalent in Scala due to the sheer number of Scala versions and upgrades. New Scala releases often mark a significant shift that requires massive developer retraining and codebase migrations.
Developers new to Scala should seek out the support of experienced contributors to help minimize the learning curve. While Scala still exists in a relatively fragmented, tribal ecosystem, it's hard to say where Scala is heading in terms of adoption. However, with the right support, Scala functional programming can be a major asset.