-
Notifications
You must be signed in to change notification settings - Fork 33
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Codify creation of standard derivatives into apps #195
Comments
Great, thanks @lintool – this is a great idea. Here's the script that we run for each basic AUK job, with the updated syntax for your refactored version of AUT.
Basically, you'll see it
Is this enough or do you want me to break this out more? |
It probably makes sense to break down into three jobs:
Let's use Scallop for command-line args, e.g., https://github.com/lintool/bespin/blob/master/src/main/scala/io/bespin/scala/spark/wordcount/WordCount.scala We'll need test cases built against |
Closed in #222 |
According to Slack discussions with @ianmilligan1 creation of standard derivates is still based on scripting AUT commands in Spark shell. We should probably codify into "apps" that can be called via
spark-submit
. This would also enable better e2e integration testing.@ianmilligan1 why don't we start with the simplest such scripts that you're building - and I can start by mocking up what it would look like as an app.
The text was updated successfully, but these errors were encountered: