One feature of Scala is it reuse Java's Exception class hierarchies, but much easier to use. For one thing, it treats Exception as "unchecked" just like RuntimeException, which I think one of the reason it causes Java to be unnecessary verbose. For example when opening a file stream, one way Java can do it is:

public void doFile(File file) throws FileNotFoundException, IOException {  
  FileInputStream fins = null;
try{
fins = new FileInputStream(file);
//process it.
}finally{
if(fins != null){ fins.close(); }
}
}

But in Scala equivalent can be done as follow:
def doFile(file: File): Unit = {  
  val fins = new FileInputStream(file)
try{
//process it.
}finally{
fins.close
}
}

In Scala, you don't need to predefine the "fins" to null then try it, and then check to close in finally block, because if FileInputStream failed, an FileNotFoundException instance will be thrown out of the method, before reaching to the try block. In addition, the Scala user of the doFile method do NOT need to invoke it inside a try/catch block, while Java requires it. This is possible because Exception, or any subclasses are "uncheck" as default in Scala. This mean that the exception will keep throw to next stack frame until it finds a "catcher". If none are found, it will exit main at the end.

Views: 29

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Google Announces Gemini 3

Google's Gemini 3, unveiled on November 18, 2025, sets a new standard for multimodal AI, integrating seamlessly across platforms like Search and Vertex AI. With capabilities for text, code, and rich media, it empowers both consumer and enterprise applications. Gemini 3 Pro and its advanced Deep Think mode enhance reasoning and task execution, revolutionizing workflows and analytics.

By Andrew Hoblitzell

Presentation: The Architecture of Developer Experience: Where Product, Platform, and Operations Meet

The panelists discuss designing platform architecture where product, platform, and operations meet. Experts share best practices for reducing cognitive load, balancing core ops vs. innovation, measuring success (lead time, cost avoidance), and enabling developers through self-service and golden path deviations.

By Ran Isenberg, Garima Bajpai, Stephane DiCesare, Martin Reynolds, Renato Losio

AWS Lambda Rust Support Reaches General Availability

AWS has elevated Rust support in Lambda from experimental to generally available, empowering developers to create high-performance, memory-safe serverless applications. This milestone enhances developer confidence, backed by AWS support and SLA. While it offers speed comparable to C++, challenges such as lengthy SDK compile times and increased binary sizes remain key considerations.

By Steef-Jan Wiggers

Developing and Deploying Software in a Sustainable Way

Sustainable APIs benefit most from minimalism, Jochen Joswig said at OOP Conference . Deployment should consider energy, usage, carbon intensity, hardware acquisition. Remote work, long device lifespans, and green office practices can lower emissions. Efficient CI, selective builds, smaller artefacts, and optimized assets can further reduce energy use.

By Ben Linders

Enhancing Reliability Using Service-Level Prioritized Load Shedding: Netflix at QCon SF 2025

At QCon San Francisco, Netflix engineers unveiled their advanced Service-Level-Prioritized Load-Shedding strategy, enhancing reliability during traffic spikes. By prioritizing high-value requests and automating management across microservices, they safeguard user experience and system stability. Key insights stress prioritization, automation, and structured load shedding for optimal resilience.

By Steef-Jan Wiggers

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service