At the Forge - Testing with Rails
The above are only two of the types of tests you might want to use on your system. Rails comes with a large collection of assertions, allowing you to test your models in a great variety of ways.
Remember that methods are just one part of the testing equation; you also will want to have appropriate integrity constraints and checks in your table definitions, and a wide variety of inputs to ensure that you are checking many different possibilities. One way to create a large number of fixtures is by creating them dynamically, using the same syntax (known as ERb, or Embedded Ruby) that is used in Rails views.
As I mentioned above, functional tests are another important element in any application's test suite. Functional tests, which operate against Rail controllers, work similarly to our unit tests—in the tests/functional directory, with one test object per controller, and with a test_ method for each method in the controller object. Testing models ensures that your data is going to be robust; testing controllers ensures that no matter what inputs you receive from users via the Web, the application will handle the situation gracefully.
Finally, Rails makes it easy to create mock objects, allowing us easily to pretend that an object has been created. For example, we might want to pretend that a credit-card transaction has gone through, or that we have sent e-mail to 50,000 users of our system, without actually carrying out the task.
Web applications are becoming large and sophisticated enough that they demand disciplined testing techniques to avoid unforeseen problems. Ruby on Rails comes with an integrated test system that makes it easy to create and use tests at all levels—database, model objects and controller objects. It shouldn't come as any surprise that many Ruby developers are fans of test-driven development, in part because Ruby and the Rails environment make it so easy to accomplish. If you are going to develop with Rails, it's worth taking the extra time to add tests into your application. It's easy to do, and it will save you a great deal of time later on.
Resources for this article: /article/8631.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
Free to Linux Journal readers.Register Now!
- Stunnel Security for Oracle
- SourceClear Open
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- SUSE LLC's SUSE Manager
- My +1 Sword of Productivity
- Managing Linux Using Puppet
- Google's SwiftShader Released
- Non-Linux FOSS: Caffeine!
- Parsing an RSS News Feed with a Bash Script
- SuperTuxKart 0.9.2 Released
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide