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ok to test
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Ted - why is this change necessary? These only happen in error cases so I'm
not sure how useful it is to optimize then. On top of that, this seems to
change the stacktrace
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Github user vanzin commented on the pull request:
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> There's duplication between the two schedulers, ..., because the common
superclass, YarnSchedulerBackend is in spark-core
I'd just move that class to the yarn
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The problem might be related to GC as a current implementation of
`dfToCols` allocates memory for the map result and the array while @FRosner
implementation only
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Github user ehsanmok commented on the pull request:
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After dev/lint-scala should I include the
`build/sbt-launch-0.13.7.jar.part` as well?
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GitHub user XuTingjun opened a pull request:
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[SPARK-5210] Support group event log when app is long-running
For long-running Spark applications (e.g. running for days / weeks), the
Spark event log may grow to be very large.
I think
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Github user stephend-realitymine commented on the pull request:
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Going to close this pull request and recreate from rebased master.
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Github user vanzin commented on the pull request:
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Yeah, please don't do this. Broken stack traces are terrible.
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Github user rxin commented on the pull request:
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+1
If you are doing a lot of these, it'd be great to batch them. Don't be
mistaken - the effort is hugely appreciated!
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@@ -322,8 +322,10 @@ private[spark] class Client(
// multiple
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So, any remaining feedback?
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,57 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#'
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long
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/9239#issuecomment-150524806
LGTM
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GitHub user jliwork opened a pull request:
https://github.com/apache/spark/pull/9247
[SPARK-11277] [SQL] sort_array throws exception scala.MatchError
I'm new to spark. I was trying out the sort_array function then hit this
exception. I looked into the spark source code. I found the
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[SPARK-10947] [SQL] With schema inference from JSON into a Dataframe, add
option to infer all primitive object types as strings
Currently, when a schema is inferred from a JSON file
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https://github.com/apache/spark/pull/9251#issuecomment-150587942
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