Github user XuTingjun commented on the pull request:
https://github.com/apache/spark/pull/5586#issuecomment-94367970
Yeah, LGTM, I need this function. can we put hbase's config into
hbase-site.xml, right?
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/5565#issuecomment-94366735
Hey @nkronenfeld - simply put, we cannot make binary-incompatible changes
to API's in Spark due to our API guarantees, so this rules out many of your
proposed changes. T
Github user AmplabJenkins commented on the pull request:
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GitHub user AiHe opened a pull request:
https://github.com/apache/spark/pull/5587
[PYSPARK] Fix a typo in "fold" function in rdd.py
This will make the âfoldâ function consistent with the "fold" in
rdd.scala and other "aggregate" functions where âaccâ goes first.
Otherwise,
GitHub user XuTingjun reopened a pull request:
https://github.com/apache/spark/pull/5550
[SPARK-6973]modify total stages/tasks on the allJobsPage
Though totalStages = allStages - skippedStages is understandable. But
consider the problem [SPARK-6973], I think totalStages = allStages
Github user XuTingjun closed the pull request at:
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Github user XuTingjun commented on the pull request:
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@srowen , do you mean we should count the first time of stages into
total/completed stages?
@JoshRosen , Do you have any suggestions?
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Github user JoshRosen commented on the pull request:
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Jenkins, retest this please.
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Github user calvinjia commented on the pull request:
https://github.com/apache/spark/pull/5354#issuecomment-94362346
@srowen
I tried setting httpclient in spark-parent's dependencyManagement and
removing my direct dependency, but I encounter the same problem as before
(httpclient
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/5149#issuecomment-94361972
This is looking good in terms of functionality. I made some comments to
help simplify the code a bit.
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--- Diff: dev/merge_spark_pr.py ---
@@ -286,68 +281,145 @@ def resolve_jira_issues(title, merge_branches,
comment):
resolve_jira_issue(merge_bra
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comment):
resolve_jira_issue(merge_bra
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Github user deanchen commented on the pull request:
https://github.com/apache/spark/pull/5586#issuecomment-94352574
@XuTingjun noticed you were also interested in this feature on
https://github.com/apache/spark/pull/5031
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GitHub user deanchen opened a pull request:
https://github.com/apache/spark/pull/5586
[SPARK-6918][YARN] Secure HBase support.
Obtain HBase security token with Kerberos credentials locally to be sent to
executors.
Similar to obtainTokenForNamenodes. Fails gracefully if HBa
Github user nkronenfeld commented on the pull request:
https://github.com/apache/spark/pull/5565#issuecomment-94351472
No, we do that at the moment.
But doing it that way results in a few rather ugly constructs in the
application code that can be rather painful, as soon as one
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Github user asfgit closed the pull request at:
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Github user srowen commented on the pull request:
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Good catch. I'll hand-test this since Jenkins wouldn't test it anyway, but
looks fine.
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Github user pwendell commented on the pull request:
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Jenkins, this is okay to test.
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/5565#issuecomment-94350194
@nkronenfeld the thrust of my comment comes from the fact that `DStream`s
give you an `RDD`, which you can do whatever you want with, including make a
`DStream` again with
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/5354#issuecomment-94350049
Should do; give it a try. This should be how you control the version of an
artifact that is used without creating an actual dependency on it.
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Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5554#issuecomment-94349784
LGTM. I'm going to merge it in master since it doesn't conflict.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5567#issuecomment-94349642
@mengxr Let's get [https://github.com/apache/spark/pull/5585] merged
before this since it's blocking my ensemble stuff more. Thanks!
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5467#issuecomment-94348677
@MechCoder There are 2 pieces of code which we're talking about: (1)
converting the Map to a Matrix and (2) converting the Matrix to a Map. I
suppose that either appr
Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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I'm going to merge this in master. Thanks.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4704#issuecomment-94347932
@jrabary Can you please run dev/scalastyle to see where the style issue is?
Thanks!
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Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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LGTM.
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Github user freeman-lab commented on the pull request:
https://github.com/apache/spark/pull/5582#issuecomment-94347795
yup, seems fine to me too, this was probably an unintentional omission, as
both `StreamingLinearRegressionWithSGD` and
`StreamingLogisticRegressionWithSGD` do extend
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5567#issuecomment-94347671
Jenkins didn't post it here, but it looks like the tests passed.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5582#issuecomment-94347681
alright I'm going to merge this. if there is a problem we can always revert
it. Thanks for taking a look.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5582#issuecomment-94347562
I don't see a reason not to make it Serializable, but I haven't done much
with streaming yet... Seems Ok to me
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Github user aarondav commented on the pull request:
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All comments addressed.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5582#issuecomment-94347386
I'll take a look, but also: CC @freeman-lab
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GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/5585
[SPARK-7000] [ml] Refactor prediction and tree abstractions to be under
ml.prediction subpackage
From JIRA:
> spark.ml prediction abstractions are currently not gathered; they are in
both ml.
Github user rxin commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,277 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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+/*
+ * Licensed to the Apache
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--- Diff:
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+/*
+ * Licensed to the Apache Soft
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+/*
+ * Licensed to the Apache Software
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+/*
+ * Licensed to the Apache Soft
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+/*
+ * Licensed to the Ap
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private final Map outs
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private final Map outs
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Github user aarondav commented on the pull request:
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cc @rxin
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GitHub user aarondav opened a pull request:
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[SPARK-7003] Improve reliability of connection failure detection between
Netty block transfer service endpoints
Currently we rely on the assumption that an exception will be raised and
the channel
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Github user suyanNone commented on the pull request:
https://github.com/apache/spark/pull/4886#issuecomment-94342126
@srowen I fine to close this patch.
eh...I not sure I fully got your point. I agree this means "a level which
does not use memory" and ` This branch is for the case
Github user WangTaoTheTonic commented on the pull request:
https://github.com/apache/spark/pull/5491#issuecomment-94341589
@vanzin Added another temporary ListBuffer `leftToClean` to store the apps
that wasn't deleted succesfully and avoid editing `appsToClean` in its
iterator.
-
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Github user SaintBacchus closed the pull request at:
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Github user SaintBacchus commented on the pull request:
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I seems to be a better way.
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Github user calvinjia commented on the pull request:
https://github.com/apache/spark/pull/5354#issuecomment-94333039
Does dependency management work for transitive dependencies? I'm trying to
ensure the higher version wins out.
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Github user nkronenfeld commented on the pull request:
https://github.com/apache/spark/pull/5565#issuecomment-94332668
Ok, I think there are only 3 real API changes, though one of them appears
in multiple places.
* `RDD`
* `flatMap[U](f: T => TraversableOnce[U])` changed
Github user Sephiroth-Lin commented on the pull request:
https://github.com/apache/spark/pull/5478#issuecomment-94331295
@lianhuiwang OK.
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Github user nkronenfeld commented on the pull request:
https://github.com/apache/spark/pull/5565#issuecomment-94330557
Thanks for taking a look at it.
I'll take a look and write up here exactly what API changes this makes -
while I don't think there are many, there aren't none
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/5583
[SPARK-6969][SQL] Refresh the cached table when REFRESH TABLE is used
https://issues.apache.org/jira/browse/SPARK-6969
You can merge this pull request into a Git repository by running:
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/5354#issuecomment-94329327
I dont think it should be a direct dependency just for this purpose, no.
This is what the dependencyManagement section is for. What are you trying to
achieve with this? Ju
Github user calvinjia commented on the pull request:
https://github.com/apache/spark/pull/5354#issuecomment-94327839
@srowen
Thanks for taking another look!
For the Jackson library, spark already has a dependency managed version,
but for transitive dependencies I need to exclud
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cc @mengxr and @jkbradley
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