Github user harishreedharan commented on a diff in the pull request:
https://github.com/apache/spark/pull/9373#discussion_r43578480
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLog.scala
---
@@ -126,11 +127,11 @@ private[streaming] class FileBasedWriteAheadLog(
val logFilesToRead = pastLogs.map{ _.path} ++ currentLogPath
logInfo("Reading from the logs: " + logFilesToRead.mkString("\n"))
- logFilesToRead.iterator.map { file =>
+ logFilesToRead.par.map { file =>
--- End diff --
This is an expensive operation - you'd end up running an O(n) operation to
create a copy (in addition to the copy cost). Do we really need this? I am not
entirely sure the copying adds a whole lot of value, considering that this
array is not going to be very huge. Also note the additional cost to spin up
threads (if the context does not already have them spun up).
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