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Github user steveloughran commented on the pull request:
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Adding some tests here could be an interesting little project. the main
thing to do is to have some config file in test/resources, which git is set up
to ignore;
Github user zero323 commented on the pull request:
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@shivaram Not yet. I hope I'll have some time later this week to take a
deeper look at this. And I still would like to hear some official response
regarding
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GitHub user adrian-wang opened a pull request:
https://github.com/apache/spark/pull/9277
[SPARK-11311] [SQL] spark cannot describe temporary functions
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Github user javelinjs commented on the pull request:
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@yanboliang Your constructor can build. But this implies exposing ```[M <:
Matrix]``` to users, we will see something like ```bm:
BlockMatrix[SparseMatrix]``` here
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Github user sun-rui commented on the pull request:
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@FRosner, I am not denying a unit test:). My point is that it seems not
necessary to add a Scala unit case for dfToCols, which is dedicated for SparkR
now and its logic
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If there are no objections, I'll merge to master. This looks like a good
targeted fix.
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--- Diff:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/GroupedIterator.scala ---
@@ -0,0 +1,141 @@
+/*
+ * Licensed to the Apache
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val
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@@ -465,6 +465,7 @@ private[hive] object TestHiveContext {
val
Github user chenghao-intel commented on the pull request:
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Thank you @yhuai , I've just split the `BroadcastNestedLoopJoin` into
`BroadcastNestedLoop` and `DefaultJoin`, which probably makes more sense.
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@mengxr Could you add @javelinjs to whitelist?
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Github user yhuai commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala ---
@@ -233,6 +233,25 @@ private[spark] object SQLConf {
defaultValue = Some(200),
Github user chenghao-intel commented on a diff in the pull request:
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--- Diff:
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@@ -294,25 +294,24 @@ private[sql] abstract class
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/9247#issuecomment-151035107
I think we should follow hive, thus we also need to update the
`checkInputDataTypes` to deny struct type.
cc @yhuai @marmbrus , what do you think?
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@yanboliang Sure I'll work on it soon. Thank you.
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Github user liancheng commented on the pull request:
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Well, it depends. The situation is a little bit tricky to explain. In
general there are two cases:
1. String filters with high selectivity, namely most
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/9270#discussion_r42962687
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
---
@@ -959,6 +963,861 @@ case class ScalaUDF(
}
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--- Diff:
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@@ -959,6 +963,861 @@ case class ScalaUDF(
}
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9268#issuecomment-151047372
Your command is not wrong and the usage is not wrong. The PR is wrong. It's
the wrong fix for the problem.
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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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JIRA doesn't work for me right now. I will close the ticket when it works.
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -193,10 +194,22 @@ def parquet(self, *paths):
"""
return
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GitHub user adrian-wang opened a pull request:
https://github.com/apache/spark/pull/9278
[SPARK-11312][SQL]drop temporary function should match with create
temporary function
create temporary function is done by executionHive, while DROP TEMPORARY
FUNCTION is done by metadataHive,
Github user marmbrus commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -0,0 +1,392 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
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@@ -0,0 +1,173 @@
+/*
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--- Diff:
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@@ -137,7 +137,7 @@ private[spark] class
Github user jerryshao commented on the pull request:
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Yes, the problem still exists, @KaiXinXiaoLei are you still working on this
issue to address the comments mentioned above?
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Github user sun-rui commented on the pull request:
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@shivaram, [R lag
function](https://stat.ethz.ch/R-manual/R-devel/library/stats/html/lag.html) is
for time series objects, which is irrelevant to the lead/lag here in
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Github user FRosner commented on the pull request:
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@sun-rui I am not sure how callJStatic works but I can imagine that making
a method private does not allow it to be called - neither from the test, nor
from R. Why
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No, I presume that's what led @pronix to the changes here? @pronix did you
try this with some real data? Yeah we don't have tests here anyway, and I'd
hope that it
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Github user KaiXinXiaoLei commented on the pull request:
https://github.com/apache/spark/pull/9268#issuecomment-151044681
@vanzin But i run :
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Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/8734#discussion_r42964746
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/tree/DecisionTreeSuite.scala ---
@@ -294,8 +295,12 @@ class DecisionTreeSuite extends SparkFunSuite with
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/9248#issuecomment-151057890
Thanks - I've merged this.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9270#issuecomment-151034722
Test FAILed.
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