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--- Diff: core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala ---
@@ -579,17 +579,20 @@ class CleanerTester(
private def uncle
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--- Diff: core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala ---
@@ -442,25 +442,25 @@ class CleanerTester(
checkpointIds: Seq[Lo
Github user zsxwing commented on the pull request:
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@ksakellis Most of Streaming users use Kafka. It may affect a lot of
people. I think it's better to discuss how to support Kafka 0.9
([SPARK-13252](https://issues.apach
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cc @rxin @tdas @JoshRosen
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retest this please
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Merged into PR #11669 .
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Hi, @srowen .
I updated the description of this PR and JIRA issue.
In short, I could update most plugins except `sbt-assembly`. It show many
er
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looks good
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Oh, thank you, @liancheng !
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LGTM, merging to master. Thanks for fixing this!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/package-info.java ---
@@ -66,7 +66,7 @@
* RowFactory.create(0, "Hi I heard about Spar
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@rxin Just created one for this and filled it to PR title. I'm merging this
to master.
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@dongjoon-hyun Thanks, will review it later today.
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cc @mengxr
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Close it since we have https://github.com/apache/spark/pull/11683. I'll
leave JIRA SPARK-13388 to be solved later.
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@jkbradley @yanboliang
In this PR Pipeline and PipelineModel are kept with Python implementations.
However, 2 bad things are
1. It's hard to handle t
GitHub user yinxusen opened a pull request:
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[SPARK-13038] [PySpark] Add load/save to pipeline
## What changes were proposed in this pull request?
JIRA issue: https://issues.apache.org/jira/browse/SPARK-13038
1. Add load/sav
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retest this please
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I would also like to see the Kafka modules removed in a similar way. We
have had trouble balancing Spark's compatibility requirements and Kafka's every
breaking clien
GitHub user gatorsmile opened a pull request:
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[SPARK-13840] [SQL] Disable Project Pushdown Through Filter
What changes were proposed in this pull request?
Before this PR, two Optimizer rules `ColumnPruning` and
`PushPredicateT
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala ---
@@ -54,8 +55,26 @@ class SQLBuilder(logicalPlan: LogicalPlan, sqlContext:
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ping @mengxr @rxin
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Can one of the admins verify this patch?
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[SPARK-13825][CORE] Upgrade to Scala 2.11.8
## What changes were proposed in this pull request?
Upgrade to 2.11.8 (from the current 2.11.7)
## How was this patch tested?
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[WIP] Update sbt-dependency-graph/sbteclipse-plugin plugin based on
SPARK-13834
## What changes were proposed in this pull request?
This PR bumps the following sbt plugins based on S
Github user kiszk commented on the pull request:
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cc @davies
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Jenkins, retest this please.
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[info] *** 3 TESTS FAILED ***
[error] Failed: Total 1707, Failed 3, Errors 0, Passed 1704, Ignored 596
[error] Failed tests:
[error] org.apache.spark.sql.h
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LGTM
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Did you already create a JIRA ticket, or you still need to create one?
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Thanks - I've merged this and added JIRA ticket to the commit message.
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Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/11649#issuecomment-195793185
As mentioned in another thread, we do not explicitly add the inferred
predicates(including `isNotNull`) into the conditions always. We just store
them in the node. S
Github user AmplabJenkins commented on the pull request:
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Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/11673#issuecomment-195784000
LGTM
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Github user SparkQA commented on the pull request:
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Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/11033#issuecomment-195783350
1. I'll update
2. I think the extra credential dump should be pulled up into
{{SparkHadoopUtil}}; it's not yarn-specific
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/11660#issuecomment-195782333
@andrewor14 did you have any other comments here or is this ready to merge?
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Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/11678#issuecomment-195779128
Hi, @liancheng .
Sorry for leaving a message here. Could you review #11675 if you have some
time?
It's a supplement update for your replacing `DataFrame`
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