July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Method 3: Making life easier with Spark testing base
Spark testing base helps you to test your most of the Spark codes with ease. So, what are the pros of this method then? There are many in fact. For example, using this the code is not verbose but we can get very succinct code. The API is itself richer than that of ScalaTest or JUnit. Multiple languages support, for example, Scala, Java, and Python. It has the support of built-in RDD comparators. You can also use it for testing streaming applications. And finally and most importantly, it supports both local and cluster mode testings. This is most important for the testing in a distributed environment.
The GitHub repo is located at https://github.com/holdenk/spark-testing-base.
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