Posts in 'spark'

Ramandeep Singh Nanda

Testing Spark Dataframes

Testing Spark Dataframe transforms is essential and can be accomplished in a more reusable manner. The way, I generally accomplish that is to

  • Read the expected and test Dataframe, and
  • Invoke the desired transform, and
  • Calculate the difference between dataframes. The only caveat in calculating the difference is that in ...

Ramandeep Singh Nanda

Parallel Orchestration of Spark ETL Processing

I have been working a lot on Spark and Scala. I have really like scala as a language, due to its numerous advantages over Java, the foremost being that for a simpler API having Type classes and Default Method Arguments does wonders. Also, idiomatic scala code uses higher order functions ...