I am using the randomSplit
function to get a small amount of a dataframe to use in dev purposes and I end up just taking the first df that is returned by this function.
val df_subset = data.randomSplit(Array(0.00000001, 0.01), seed = 12345)(0)
If I use df.take(1000)
then I end up with an array of rows- not a dataframe, so that won't work for me.
Is there a better, simpler way to take say the first 1000 rows of the df and store it as another df?