I'm using a statement like the following to load my dataframe from some text file
Upon encountering the first error, the whole thing throws an exception and
processing stops.
I'd like to continue loading even if that results in zero rows in my dataframe.
How can i do that?
thanks
spark.read.schema(SomeSchema).option("sep", "\t").format("csv").load("somepath")
