Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1415#issuecomment-48996763
@andrewor14 do we also log the block size, etc of the codec used ?
If yes, then atleast for event data we should be fine.
IIRC we use the codec to compress
a) RDD (which could be in tachyon - and so shared between spark deployments
?),
b) shuffle (private to spark),
c) broadcast (private to spark).
d) event logging (discussed above)
e) checkpoint (could be shared between runs ?)
Other than (a) and (e), sharing data via others would be non trivial and
something we dont need to support imo.
I am not very sure of (a) and (e) - thoughts ?
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