Spark scala transformations
I have spark input dataframe like below.
How can I put multiple case classes in to single RDD(and then DataSet)
From one single full raw data, I have to extract some data and dump multiple type of data.
Spark Custom Catalyst Expression codegen Compilation Error
I am trying to implement a custom catalyst expression in Spark, which will parse each column in a dataframe into a string array. The toy example is attached.
How to make sure partitions are smaller than maxSize?
Suppose I convert a large CSV file (800K lines) to a DataFrame using SparkSession like this:
Is it actually safe to use spark.conf.set function to update Spark properties?
Suppose I have a code: