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Github user scwf commented on the pull request:
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Hi @marmbrus, still working on this, tomorrow i will update this.
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ping. any progress here?
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ok to test
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GitHub user scwf opened a pull request:
https://github.com/apache/spark/pull/3838
[SPARK-5002][SQL] Using ascending by default when not specify order in
order by
spark sql does not support ```SELECT a, b FROM testData2 ORDER BY a desc,
b```.
You can merge this pull request into a
Github user FlytxtRnD commented on the pull request:
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@tgaloppo Good Work
@mengxr Thanks for giving us a chance to be a part of this contribution
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[SPARK-5000][SQL] Alias support string literal in spark sql parser
Alias support string literal in spark sql parser, such as
select key , value as 'vvv' from tableA;
You can merge this pull request
Github user adrian-wang commented on a diff in the pull request:
https://github.com/apache/spark/pull/3820#discussion_r22339701
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTableSupport.scala
---
@@ -84,7 +86,8 @@ private[parquet] class RowReadSupport exte
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Github user JoshRosen commented on the pull request:
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This looks good to me, so I'll merge it. Thanks for the reminder.
Before I merge this, though, I'm going to hotfix the package-level
SPARK_VERSION into the bac
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Github user liuqiyun commented on the pull request:
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So how to save as the uncompressed binary representation in the
GenSort.scala program? I want to compare it with Hadoop MR which also use the
uncompressed binary represe
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QA results for PR 1586:- This patch FAILED unit tests.For more
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Github user liancheng commented on the pull request:
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According to my earlier investigation, this issue seems to be related to
the asynchronous execution feature enabled by default in Hive 0.13.1 JDBC
driver. I'm not prett
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[MLlib]delete the "train" function
To make the functions with the same in "object" effective, specially when
using java reflection.
As the "train" function defined in "class DecisionTree" will hi
Github user liancheng commented on the pull request:
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@yanbohappy Actually, we can move the `copy` call to
[`execution.Sample.execute`] [1]. In this way, queries without sampling are not
negatively effected.
[1]:
Github user liancheng commented on the pull request:
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Hey @yanbohappy, as I've commented in the JIRA, would you mind to do a
micro benchmark using code in #758 to see whether this fix introduces
noticeable performance regr
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@JoshRosen , is this PR ready to merge?
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Jenkins, retest this please.
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QA tests have started for PR 1586. This patch DID NOT merge cleanly!
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Let me create another one instead.
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Please don't merge, it is just for illustration purpose. Thanks.
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Changes to illustrate the principles of functional programming.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yujunliang/spark functional-p
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[SPARK-4908][SQL] Prevent multiple concurrent hive native commands
This is just a quick fix that locks when calling `runHive`. If we can find
a way to avoid the error without a global lock that wo
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Github user CodingCat commented on the pull request:
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yes, @mateiz was right, I would like to give more clues to facilitate your
debugging
1, NO_PREF will not be adjusted by getAllowedLocalityLevel() method of
Ta
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Github user OopsOutOfMemory commented on a diff in the pull request:
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--- Diff: bin/spark-submit ---
@@ -42,7 +42,10 @@ while (($#)); do
shift
done
-DEFAULT_PROPERTIES_FILE="$SPARK_HOME/conf/spark-de
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[SPARK-2309][MLlib] Multinomial Logistic Regression
#1379 is automatically closed by asfgit, and github can not reopen it once
it's closed, so this will be the new PR.
Binary Logistic Regres
Github user witgo commented on the pull request:
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@brennonyork Sorry, I tried many times, could not reproduce the issue.
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I deleted the commit about `isTerminated`. It will be sent in a different
PR.
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Github user ilganeli commented on the pull request:
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Mark and Matei - I hear you guys and understand what you're saying. Does it
make sense to create new Jira to refactor the RDD interface to move the
advanced sampling me
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Github user WangTaoTheTonic commented on the pull request:
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@OopsOutOfMemory Ok I got what you mean. After checking the logic in
`SparkSubmitArguments.scala` I do think that your solution is more reasonable.
Thanks.
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--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
---
@@ -719,26 +719,28 @@ private[spark] class Master(
def rebuildSpa
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--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -203,9 +204,27 @@ class HadoopRDD[K, V](
for (i <- 0 until inputSplits.s
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The `[WIP]` tag in the title is because I just realized that we may be able
to improve this based on some discussion at the JIRA ticket.
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GitHub user JoshRosen opened a pull request:
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[SPARK-4835] Disable validateOutputSpecs for Spark Streaming jobs
This patch disables output spec. validation for jobs launched through Spark
Streaming, since this interferes with checkpoint recov
Github user SaintBacchus commented on the pull request:
https://github.com/apache/spark/pull/3771#issuecomment-68321575
what @tgravescs says is close to the scenario, but it happens during the
RM recover after broke down.
```scala
if (finalStatus == FinalApplicati
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LGTM. Merged into master. Thanks!
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Github user tigerquoll commented on a diff in the pull request:
https://github.com/apache/spark/pull/3809#discussion_r22334486
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -329,8 +329,11 @@ class SparkContext(config: SparkConf) extends Logging
with Execu
Github user alexliu68 commented on the pull request:
https://github.com/apache/spark/pull/3766#issuecomment-68317258
I removed it.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2833#issuecomment-68316677
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/3831#issuecomment-68315787
LGTM, thanks for fixing it!
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Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/3723#issuecomment-68315776
I agree with Mark about this. This method doesn't seem worth adding an API
for by default, especially if it will be tricky to implement. For extracting
small samples, take
Github user jongyoul commented on the pull request:
https://github.com/apache/spark/pull/3829#issuecomment-68315395
@srowen Oops... that's my mistake that I didn't change artifact id
correctly when I make a pull request again. Thanks for fixing it.
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/3693
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3693#issuecomment-68315410
LGTM (including the change to `norm`). Merged into master. Thanks!
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3022#issuecomment-68315285
@tgaloppo I've merged this into master. Thanks for contributing GMM!
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/3022
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3779#issuecomment-68314408
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3726#issuecomment-68314063
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