Perhaps I should have post this as my first message to the group, but I will add it anyway for completeness. Or in case someone wants to try Scala out and at least you can grap this template to start pasting code to trying it out for other examples.

object Hello {
  def main(args: Array[String]): Unit = {
println("Hello world.")
}
}

Save above into Hello.scala, then compile and run your program like these:
powerbookg4:tmp zemian$ scalac Hello.scala
powerbookg4:tmp zemian$ scala Hello
Hello world.

Note that Scala main entry program is a "object" instead of "class". "object" in Scala is like a class that define a type, but it force it to be a singleton(only one instance), so it almost like "static" in Java. Your main entry in command line must be an object with the main method defined.


You may turn your source file into a script by enter a expression that invoke the main method on the end of the file, and then run it through "scala" instead of compiling it. For example:

object Hello {
  def main(args: Array[String]): Unit = {
println("Hello world.")
}
}
Hello.main(args)

Note that variable "args" is predefined when you run it as script. To run it, just invoke like this:
powerbookg4:tmp zemian$ scala Hello.scala
Hello world.

Note the difference. 1 no compile. 2 you give scala the script file name, not the type name!


Happy programming!

Views: 28

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

QCon SF 2024 - Why ML Projects Fail to Reach Production

Wenjie Zi of Grammarly addressed the high failure rates in machine learning at QCon SF 2024, revealing challenges from misaligned business goals to poor data quality. She advocated for a "fail fast" approach and robust MLOps infrastructure, emphasizing that learning from failures can drive success. Clear objectives and rigorous practices are essential for effective implementation.

By Andrew Hoblitzell

QCon SF 2024 - Scale Out Batch GPU Inference with Ray

At QConSF 2024, Cody Yu presented how Anyscale’s Ray can more effectively handle scaling out batch inference. Some of the problems Ray can assist with include scaling large datasets (hundreds of GBs or more), ensuring reliability with spot and on-demand instances, managing multi-stage heterogeneous compute, and managing tradeoffs with cost and latency.

By Andrew Hoblitzell

Techniques and Trends in AI-Powered Search by Faye Zhang at QCon SF

At QCon SF 2024, Faye Zhang gave a talk titled Search: from Linear to Multiverse, covering three trends and techniques in AI-powered search: multi-modal interaction, personalization, and simulation with AI agents.

By Anthony Alford

WildFly 34 Adds Preview of Jakarta EE 11 and Support for Jakarta Data

The WildFly community announced the latest release of WildFly 34, emphasizing the significant changes made to the WildFly Preview. Including support for Jakarta Data 1.0, MicroProfile REST Client 4.0, and MicroProfile Telemetry 2.0. Other minor updates include ORM 6.6.x, Hibernate search 7.2, and FasterXML Jackson 2.17.

By Shaaf Syed

Aurora Limitless: AWS Introduces New PostgreSQL Database with Automated Horizontal Scaling

AWS has announced the general availability of Amazon Aurora PostgreSQL Limitless Database, a relational database designed to provide automated horizontal scaling. This new option can handle millions of write transactions per second and manage petabytes of data, all within a single database environment.

By Renato Losio

© 2024   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service