Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5801#issuecomment-98886158
You can try get some tweets and use that. That's what I usually demo on,
but unfortunately I don't think it is legal to make collected tweets public.
There are some
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5810#issuecomment-98886643
test this please
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Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/5533#issuecomment-98886653
Other than the comment I made, it looks ready for merging. After merging
this and the Kafka Direct API PR, I will play around with the UI to see if
there are corner cases,
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5850#issuecomment-98887139
@irmen It is simple to switch to use your official artifacts in a later
release. We can exclude `serpent` in our pom file since we don't need it.
@JoshRosen I'm
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GitHub user tedyu opened a pull request:
https://github.com/apache/spark/pull/5897
Use UNSAFE.getLong() to speed up BitSetMethods#anySet()
@JoshRosen
Please take a look
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--- Diff:
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+/*
+ * Licensed to the
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Jenkins, test this please.
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https://github.com/apache/spark/pull/5896
[SPARK-7236] [CORE] Fix to prevent AkkaUtils askWithReply from sleeping on
final attempt
Added a check so that if `AkkaUtils.askWithReply` is on the final attempt,
it will not sleep for the
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unrelated failure...
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Good catch. LGTM.
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Thanks. I'm merging this.
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LGTM
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GitHub user debasish83 reopened a pull request:
https://github.com/apache/spark/pull/5869
[SPARK-4231][MLLIB][Examples] MAP calculation added to examples.MovieLensALS
MAP calculation driver to MovieLensALS was not part of SPARK-3066 merge.
Added the driver in this PR.
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Github user zsxwing commented on the pull request:
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@srowen so you are suggesting that it's better to review every thread
created by Spark to check if it handles `InterruptedException`? Sometimes it
may not be trivial
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GitHub user shivaram opened a pull request:
https://github.com/apache/spark/pull/5895
[SPARKR-7230] Make RDD private in SparkR.
This change makes the RDD API private in SparkR and all internal uses of
the SparkR API use SparkR::: to access private functions.
You can merge this
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Github user debasish83 commented on the pull request:
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@mengxr if you could please point to the ML pipeline module where I should
add it, I can do the change...
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Github user srowen commented on the pull request:
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Yes, because in general this is an unexpected error condition; I don't
think it's a normal way for a thread to exit, or shouldn't be. Is this an
actual problem somewhere?
Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/5775#issuecomment-98832442
@mengxr Can you please have a look at this? Thanks in advance! :)
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Github user FavioVazquez commented on the pull request:
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Ok I see @srowen thank you.
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https://github.com/apache/spark/pull/5892#issuecomment-98837144
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5729#issuecomment-98849368
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