Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/9615#issuecomment-157555075
I don't think the javax.ws.rs classes are actually compatible with each
other.
I just tried another experiment. I took my Spark package hacked to remove
the
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Github user asfgit closed the pull request at:
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9481#issuecomment-157481690
@zsxwing do you plan to update this? We should get some version of this
change in 1.6 if the netty rpc layer is left as the default.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/9749#issuecomment-157482003
Thanks, updated!
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9759#discussion_r45110623
--- Diff:
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@@ -93,22 +93,29 @@ class
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Awesome, thanks Sean !
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Github user asfgit closed the pull request at:
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/9081#issuecomment-157474071
This seems like a good idea, but I'd propose we delay refactoring until
after the 1.6 release.
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Github user marmbrus commented on the pull request:
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Merging to master and 1.6.
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9662#discussion_r45107210
--- Diff:
docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
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@@ -72,11 +78,17 @@ class
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Github user davies commented on the pull request:
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It's an estimation based on LongType/DoubleType, it means most of the
tables with primitive types will not be affected.
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9774#discussion_r45117143
--- Diff: core/src/main/scala/org/apache/spark/rdd/SqlNewHadoopRDD.scala ---
@@ -95,6 +95,8 @@ private[spark] class SqlNewHadoopRDD[V: ClassTag](
}
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Rebased to pull PipelineSuite from master.
I removed the failing part of the PipelineSuite. It was not really needed
since other tests already check that
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9530#issuecomment-157483860
sasl encryption for file transfers (instead of having to configure ssl for
the driver's file server). lower overhead in the driver. but nothing really
critical.
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/9481#issuecomment-157484857
> @zsxwing do you plan to update this? We should get some version of this
change in 1.6 if the netty rpc layer is left as the default.
Agree. Just working on
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/9773#issuecomment-157495284
ok to test
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/9773#issuecomment-157495244
Test cases please for any bug fix. Look at `HiveDataFrameAnalyticsSuite`
as an example (since i think we have to put this in the hive package for it to
work).
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GitHub user nongli opened a pull request:
https://github.com/apache/spark/pull/9774
[WIP] [SPARK-11787] [SQL] Improve Parquet scan performance when usingâ¦
⦠flat schemas.
WIP: this still needs to implement more types and some type conversion
logic.
This patch
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/9755#issuecomment-157500767
LGTM. Merged into master and branch-1.6. Thanks!
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9770#discussion_r45104665
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
---
@@ -719,6 +719,12 @@ trait ScalaReflection {
}
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Github user choochootrain commented on the pull request:
https://github.com/apache/spark/pull/9367#issuecomment-157485843
sounds good, i'll go ahead and squash the commits and submit a pr to master
and branch 1.6
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GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/9772
[SPARK-11786] [core] Tone down messages from akka error monitor.
There messages happen normally during the app's lifecycle, so printing
out ERROR logs all the time is misleading, and can actually
Github user huaxingao commented on the pull request:
https://github.com/apache/spark/pull/9773#issuecomment-157490181
hiveContext.table("db_name.table") works but
hiveContext.read.table("db_name.table")
throws an org.apache.spark.sql.catalyst.analysis.NoSuchTableException
Github user SparkQA commented on the pull request:
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GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/9776
[SPARK-11764] [ML] make Param.jsonEncode/jsonDecode support Vector
This PR makes the default read/write work with simple
transformers/estimators that have params of type `Param[Vector]`. @jkbradley
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9731#issuecomment-157500087
I'm going to go ahead and merge this, as it's a bug fix update anyway,
passes, and should make sure there's no exploit of this form. We may not be
alone in getting some
GitHub user dtolpin opened a pull request:
https://github.com/apache/spark/pull/9775
invFunc=none work properly with python's reduceByKeyAndWindow
invFunc is optional and can be None. Instead of invFunc (the parameter)
invReduceFunc (a local function) was checked for trueness (that
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/9749#discussion_r45118179
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/util/DefaultReadWriteTest.scala ---
@@ -19,23 +19,30 @@ package org.apache.spark.ml.util
import
Github user asfgit closed the pull request at:
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Github user srowen commented on the pull request:
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Merged to master/1.6
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Github user asfgit closed the pull request at:
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/9530#issuecomment-157477553
/cc @rxin is it too risky if adding this one to 1.6?
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Github user mengxr commented on the pull request:
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LGTM except one minor issue commented inline.
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Github user rxin commented on the pull request:
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Does it buy us anything to add this to 1.6?
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Github user choochootrain commented on a diff in the pull request:
https://github.com/apache/spark/pull/9367#discussion_r45110137
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/TaskResultGetterSuite.scala ---
@@ -119,5 +123,64 @@ class TaskResultGetterSuite extends
GitHub user huaxingao opened a pull request:
https://github.com/apache/spark/pull/9773
SPARK-11778:parse table name before it is passed to lookupRelation
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Github user jbonofre commented on the pull request:
https://github.com/apache/spark/pull/9165#issuecomment-157491868
Rebase
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Github user jbonofre commented on the pull request:
https://github.com/apache/spark/pull/9165#issuecomment-157491651
Last screenshot showing that it still works ;)
![screen](https://cloud.githubusercontent.com/assets/158903/11223325/ae37de70-8d6f-11e5-82d1-da1d00245b51.png)
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Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9780#discussion_r45144962
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -492,6 +492,18 @@ private[spark] class TaskSchedulerImpl(
}
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/9656#issuecomment-157560211
And yes, SPARK-11672 should be resolved now.
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Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9780#issuecomment-157560195
LGTM, indeed a nice improvement :).
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Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/9741#discussion_r45146703
--- Diff:
streaming/src/test/scala/org/apache/spark/streaming/StreamingListenerSuite.scala
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@@ -161,6 +162,14 @@ class StreamingListenerSuite extends
Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/9743#discussion_r45146926
--- Diff: R/pkg/inst/tests/test_sparkSQL.R ---
@@ -294,9 +294,13 @@ test_that("create DataFrame with complex types", {
test_that("create DataFrame from a
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9743#issuecomment-157564288
LGTM except a minor comment on coding style
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Github user felixcheung commented on the pull request:
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@shivaram @sun-rui
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Github user tdas commented on the pull request:
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I have merged this, but this wont auto-close as it is not to the master
branch. Please close this PR.
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Github user zsxwing commented on the pull request:
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LGTM
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Github user fayeshine commented on the pull request:
https://github.com/apache/spark/pull/9656#issuecomment-157572390
Scalastyle checks failed at following occurrences:
[error]
Github user pankajarora12 commented on the pull request:
https://github.com/apache/spark/pull/8357#issuecomment-157572336
In one of our project we have 25 requests/second that are coming in through
automated system.
Executor time per request is 50ms (as it is just a look up
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/9051#issuecomment-157578245
retest this please
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/9788
[SPARK-11792] [SQL] SizeEstimator cannot provide a good size estimation of
UnsafeHashedRelations
https://issues.apache.org/jira/browse/SPARK-11792
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Github user tnachen commented on the pull request:
https://github.com/apache/spark/pull/9301#issuecomment-157558208
We started to add ubuntu and versions since it wasn't explicit what OS
image it was built upon.
@andrewor14 what are these docker images used for? I'm trying to
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/9780#discussion_r45144733
--- Diff:
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@@ -492,6 +492,18 @@ private[spark] class TaskSchedulerImpl(
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Github user brkyvz commented on the pull request:
https://github.com/apache/spark/pull/9403#issuecomment-157561019
Hi @lordnynex. Why did you think this causes Hive tests to fail? That was
most probably a flaky test.
Regarding publishing a non-aggregated stream, yes that is
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Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/9782#issuecomment-157561666
Merging this. thanks for fixing this @zsxwing
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9785
[SPARK-11339][SPARKR] Document the list of functions in R base package that
are masked by functions with same name in SparkR
Added tests for function that are reported as masked, to make sure
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/8714#issuecomment-157563810
@jerryshao I'll have a look later today.
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