Github user steveloughran commented on the issue:
https://github.com/apache/spark/pull/14731
Reynold, I know very much about the time of reviewers, I put 1+h a day on
the hadoop codebase reviewing stuff, generally trying to review the work of
non-colleagues, so as to pull in the broad set of contributions which are
needed..
I have been trying to get some object store related patches into spark
alongside the foundational work in fundamentally transforming how we work with
object storage, especially S3, in Hadoop. Without the spark side changes, a lot
gets lost: here the performance is approx 100-300mS/file when scanning an
object store.
here I've split things in two, docs and diff. Both are independent, both
are reasonably tractable. If they can be reviewed fast and added, there's no
problems of patches ageing, everyone having to resync.
We can get this out the way, and you've have fewer reasons to be unhappy
with me.
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