Mismatch found for java and native libraries java build version 6.1.0.20180926230239.GA, native build version 6.1.0.20171109191718.GA
I am trying to read a CSV file for using Spark Scala API as part of prepping data.
Parallelize writing to S3 using foreach Pyspark
I have an use case to write data in list to S3 parallelly.
The list I have is a list of lists -> [[guid1, guid2], [guid3, guid4],...]
The function get_guids_combined()
is responsible for returning the above list
I have to parallelize writing for each list in a list by filtering it from main DF.
I am facing issues when using sparkContext (sc). It’s getting executed on the worker node, where as we are only supposed to execute it on the driver. How do I achieve the same circumventing this problem
Code:
Write filter on DataFrame in Spark Scala on mulitple different columns
I have 3 columns in my data frame that I want to run my filter on.