Hello, I am using Spark with Scala and I am attempting to understand the
different filtering and mapping capabilities available. I haven't found an
example of the specific task I would like to do.
I am trying to read in a tab spaced text file and filter specific entries.
I would like this filter to be applied to different "columns" and not lines.
I was using the following to split the data but attempts to filter by
"column" afterwards are not working.
-----------------------------
val data = sc.textFile("test_data.txt")
var parsedData = data.map( _.split("\t").map(_.toString))
------------------------------
To try to give a more concrete example of my goal,
Suppose the data file is:
A1 A2 A3 A4
B1 B2 A3 A4
C1 A2 C2 C3
How would I filter the data based on the second column to only return those
entries which have A2 in column two? So, that the resulting RDD would just
be:
A1 A2 A3 A4
C1 A2 C2 C3
Is there a convenient way to do this? Any suggestions or assistance would
be appreciated.
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