July 2017
Intermediate to advanced
796 pages
18h 55m
English
We have already seen how to test your Spark applications written in Scala on Eclipse or IntelliJ, but there is another potential issue that should not be overlooked. Although Spark works on Windows, Spark is designed to be run on the UNIX-like operating system. Therefore, if you are working on Windows environment, then extra care needs to be taken.
While using Eclipse or IntelliJ to develop your Spark applications for solving data analytics, machine learning, data science, or deep learning applications on Windows, you might face an I/O exception error and your application might not compile successfully or may be interrupted. Actually, the thing is that Spark expects that there is a runtime environment ...
Read now
Unlock full access