[GitHub] spark issue #15408: [SPARK-17839][CORE] Use Nio's directbuffer instead of Bu...

2016-10-17 Thread zsxwing
Github user zsxwing commented on the issue: https://github.com/apache/spark/pull/15408 LGTM. Merging to master. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled

[GitHub] spark issue #15408: [SPARK-17839][CORE] Use Nio's directbuffer instead of Bu...

2016-10-17 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/15408 Going once, going twice, any more comments? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature

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2016-10-15 Thread AmplabJenkins
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2016-10-15 Thread SparkQA
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2016-10-14 Thread sitalkedia
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2016-10-12 Thread zsxwing
Github user zsxwing commented on the issue: https://github.com/apache/spark/pull/15408 > I also missed why close() shouldn't be synchronized. You wouldn't want it to take place during a read, right? Good point. I was thinking `FileChannel.close` is safe but didn't consider

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2016-10-11 Thread sitalkedia
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2016-10-11 Thread SparkQA
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2016-10-11 Thread sitalkedia
Github user sitalkedia commented on the issue: https://github.com/apache/spark/pull/15408 @rxin, @srowen, @mridulm - The consensus seems to be to treat -1 (or less than 0) as end of file and return value of 0 to continue reading the file further, I will make the necessary changes.

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2016-10-10 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15408 Yea pooling can make sense, but we don't do it anywhere right now so it'd make more sense to defer until we have a plan to do it more broadly. --- If your project is set up for it, you can reply to

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2016-10-10 Thread mridulm
Github user mridulm commented on the issue: https://github.com/apache/spark/pull/15408 Barring query to @rxin (regarding buffer pooling), I am fine with the change - pretty neat, thanks @sitalkedia ! Would be good if more eyeballs look at it though given how fundamental it is.

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2016-10-10 Thread sitalkedia
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2016-10-10 Thread sitalkedia
Github user sitalkedia commented on the issue: https://github.com/apache/spark/pull/15408 >> BufferedInputStream supports mark/reset, while we are not doing so here - does deserialization and other codepaths depend on this ? (If not for functionality, then for performance ?)

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2016-10-10 Thread mridulm
Github user mridulm commented on the issue: https://github.com/apache/spark/pull/15408 There is a behavioral change with this PR, which I am not sure is relevant. BufferedInputStream supports mark/reset, while we are not doing so here - does deserialization and other codepaths

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2016-10-10 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15408 This is pretty low level change that requires more scrutiny, because a bug here will be very difficult to debug. cc @zsxwing too since he's one of the most detailed oriented reviewer I know!

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