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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
---
@@ -384,11 +387,23 @@ abstract class
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/columnar/ColumnStats.scala ---
@@ -254,7 +255,7 @@ private[sql] class
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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---
@@ -112,21 +115,21 @@ class CodeGenContext
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Github user Lewuathe commented on the pull request:
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@dbtsai Thank you so much for caching up. Currently this patch fixed the
latest issues based on your pointing out. Test failures does not seem to be
related to this
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Github user cloud-fan commented on the pull request:
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if `null in (true, array(2,3))` returns null in hive, then we probably
should first cast `key` and all values in `list` to a common type. If there is
no such a common
Github user marmbrus commented on the pull request:
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test this please
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/columnar/ColumnType.scala ---
@@ -399,24 +409,158 @@ private[sql] object BINARY extends
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--- Diff:
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@@ -365,32 +374,33 @@ private[sql] case class FIXED_DECIMAL(precision:
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Github user koertkuipers commented on the pull request:
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goals (copied over from SPARK-5741 comments by @marmbrus ):
It was originally just parquet that would support more than one file, but
now all HadoopFSRelations
Github user asfgit closed the pull request at:
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Github user tgravescs commented on the pull request:
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Container priority is different. container priority is honored right now
and its for the application to say one container must be allocated before
another. An
Github user jamartinh commented on the pull request:
https://github.com/apache/spark/pull/8493#issuecomment-145908478
I have tested it on windows with spark 1.5.0 and 1.5.1 and the problem
still remains.
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--- Diff:
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@@ -95,98 +92,192 @@ private[sql] case
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--- Diff:
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--- Diff: R/pkg/R/stats.R ---
@@ -0,0 +1,102 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
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--- Diff: R/pkg/R/stats.R ---
@@ -0,0 +1,102 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
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--- Diff: R/pkg/R/stats.R ---
@@ -0,0 +1,102 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
GitHub user koeninger opened a pull request:
https://github.com/apache/spark/pull/9007
[SPARK-10963] [Streaming] [Kafka] make KafkaCluster public
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/koeninger/spark-1 SPARK-10963
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Github user viirya commented on the pull request:
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@davies Yes. Currently as reported in the JIRA, using `x.asDict()["count"]`
instead of `x.count` can be to work around this. But I think it would be better
to avoid
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GitHub user rotationsymmetry opened a pull request:
https://github.com/apache/spark/pull/9008
[SPARK-9478] [ml] Add class weights to Random Forest
This PR adds weight support to
DecisionTreeClassifier
DecisionTreeRegressor
RandomForestClassifier
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Github user jkbradley commented on the pull request:
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OK thanks!
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Github user jkbradley commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/clustering.py ---
@@ -90,6 +90,14 @@ class KMeansModel(Saveable, Loader):
... rmtree(path)
... except
Github user jkbradley commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/clustering.py ---
@@ -90,6 +90,14 @@ class KMeansModel(Saveable, Loader):
... rmtree(path)
... except
Github user jkbradley commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/clustering.py ---
@@ -144,10 +152,16 @@ class KMeans(object):
@classmethod
def train(cls, rdd, k,
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8985#issuecomment-145951987
if we add attach shouldn't we add detach?
https://stat.ethz.ch/R-manual/R-devel/library/base/html/attach.html
Also, isn't `with` better for this so as to
Github user jaceklaskowski commented on a diff in the pull request:
https://github.com/apache/spark/pull/8976#discussion_r41303229
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -147,23 +139,41 @@ class SparkContext(config: SparkConf) extends Logging
with
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/8998#issuecomment-145974489
This looks good. I personally prefer to fail fast loudly since this is a
correctness issue. Many people don't pay attention to warnings these days,
especially in
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Github user dilipbiswal commented on the pull request:
https://github.com/apache/spark/pull/8983#issuecomment-145948447
@cloud-fan , please confirm my understanding of the code (fairly new to the
codebase..:-)
In the code we go through the entire in list and run evaluate the
GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/8996
[SPARK-10812] [yarn] Fix shutdown of token renewer.
A recent change to fix the referenced bug caused this exception in
the `SparkContext.stop()` path:
org.apache.spark.SparkException:
Github user vanzin commented on the pull request:
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/cc @holdenk
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Github user liancheng commented on the pull request:
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retest this please
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8323#issuecomment-145965472
Huh, looks like the last two failures were for the same PySpark test:
```
==
FAIL
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Github user harishreedharan commented on the pull request:
https://github.com/apache/spark/pull/8998#issuecomment-145968060
Actually looking at this again, I think our only option is to log a
message. It is possible that the `SparkContext` was already created and passed
to us, in
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8998#issuecomment-145972319
/cc @andrewor14
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Github user nilmeier commented on the pull request:
https://github.com/apache/spark/pull/8563#issuecomment-145943092
hello @dbtsai and thank you for the review comments. I will address your
questions in the next few days if that is okay.
One clarification: You indicated that
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8971#issuecomment-145947938
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