Github user freeman-lab commented on the pull request:
https://github.com/apache/spark/pull/1658#issuecomment-51995073
@kmader @mateiz this looks really useful! I was about to submit a related
PR for an InputFormat that reads and splits large flat binary files into
records (of a specified length), rather than read one file per record as here.
We find this is the easiest easy way for users to bring large numerical data
from existing NumPy / Matlab pipelines into Spark. Here's a
[gist](https://gist.github.com/freeman-lab/98d9096695e794391ab9). Would these
be compatible? Perhaps analogous to the text case, we could have both byteFile
and wholeByteFiles?
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