I think this was already answered on stackoverflow:
http://stackoverflow.com/questions/27854919/skipping-header-file-from-each-csv-file-in-spark
where the one additional idea would be:
If there were just one header line, in the first record, then the most
efficient way to filter it out is:
rdd.mapPartitionsWithIndex { (idx, iter) => if (idx == 0) iter.drop(1)
else iter }
This doesn't help if of course there are many files with many header
lines inside. You can union 3 RDDs you make this way and union them.
On Fri, Jan 9, 2015 at 6:18 AM, Hafiz Mujadid <[email protected]> wrote:
> Suppose I give three files paths to spark context to read and each file has
> schema in first row. how can we skip schema lines from headers
>
>
> val rdd=sc.textFile("file1,file2,file3");
>
>
>
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