Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2263#discussion_r17096828
--- Diff: conf/hive-log4j.properties.template ---
@@ -0,0 +1,84 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2263#discussion_r17096824
--- Diff: conf/hive-log4j.properties.template ---
@@ -0,0 +1,84 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2263#discussion_r17096833
--- Diff: conf/hive-log4j.properties.template ---
@@ -0,0 +1,84 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/2263#issuecomment-54410818
I know that `hive-log4j.properties.template` is copied from Hive, but this
file really makes me itchy...
Besides that, I think these are generally good to
Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/2262#discussion_r17096863
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -97,6 +97,7 @@ case class Limit(limit: Int, child:
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/2262#discussion_r17096919
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -97,6 +97,7 @@ case class Limit(limit: Int, child: SparkPlan)
Github user SparkQA commented on the pull request:
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Github user liancheng commented on a diff in the pull request:
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--- Diff: conf/hive-log4j.properties.template ---
@@ -0,0 +1,84 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
Github user chenghao-intel commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -164,6 +165,7 @@ case class Limit(limit: Int, child:
Github user watermen commented on the pull request:
https://github.com/apache/spark/pull/2216#issuecomment-54411613
@tdas When i use the function of updateStateByKey, and the number of key
are more than 10. I want to watch all values of keys to make sure the code is
right.
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Github user adrian-wang commented on the pull request:
https://github.com/apache/spark/pull/2246#issuecomment-54412078
I have changed the code, now `compatibleType` and `findTightestCommonType`
looks different.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -97,6 +97,7 @@ case class Limit(limit: Int, child:
Github user sarutak commented on the pull request:
https://github.com/apache/spark/pull/2250#issuecomment-54412947
retest this please.
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Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/2258#discussion_r17097268
--- Diff: docs/sql-programming-guide.md ---
@@ -263,15 +300,195 @@ for teenName in teenNames.collect():
/div
-**Note that Spark SQL
GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/2269
[Build] Removed -Phive-thriftserver since this profile has been removed
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Github user li-zhihui commented on a diff in the pull request:
https://github.com/apache/spark/pull/1616#discussion_r17097313
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -317,13 +317,58 @@ private[spark] object Utils extends Logging {
}
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/2258#discussion_r17097430
--- Diff: python/pyspark/sql.py ---
@@ -287,7 +287,7 @@ class StructType(DataType):
Spark SQL StructType
-The data type
Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/2216#issuecomment-54414169
Ahh okay. As @ScrapCodes said, this can be done pretty easily with
foreachRDD, but I can see how this makes it a tad bit convenient. I am okay to
add this. However, please
Github user ScrapCodes commented on a diff in the pull request:
https://github.com/apache/spark/pull/2229#discussion_r17097578
--- Diff: bin/compute-classpath.sh ---
@@ -63,7 +63,7 @@ else
assembly_folder=$ASSEMBLY_DIR
fi
-num_jars=$(ls $assembly_folder | grep
GitHub user sarutak opened a pull request:
https://github.com/apache/spark/pull/2270
[SPARK-3399] Test for PySpark should ignore HADOOP_CONF_DIR and
YARN_CONF_DIR
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Github user ScrapCodes commented on a diff in the pull request:
https://github.com/apache/spark/pull/2229#discussion_r17097618
--- Diff: sbt/sbt-launch-lib.bash ---
@@ -190,5 +190,5 @@ runAlternateBoot() {
local bootpropsfile=$1
shift
addJava
GitHub user ankurdave opened a pull request:
https://github.com/apache/spark/pull/2271
[HOTFIX] [SPARK-3400] Revert 9b225ac fix GraphX EdgeRDD zipPartitions
9b225ac3072de522b40b46aba6df1f1c231f13ef has been causing GraphX tests
to fail nondeterministically, which is blocking
Github user ankurdave commented on the pull request:
https://github.com/apache/spark/pull/2271#issuecomment-54416619
@rxin @liancheng I'm going to merge this immediately.
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Github user rxin commented on the pull request:
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Thanks.
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Github user asfgit closed the pull request at:
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Github user liancheng commented on the pull request:
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Thanks!
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Github user sarutak commented on the pull request:
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retest this please.
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GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/2273
[SPARK-3353] parent stage should have lower stage id.
Previously parent stages had higher stage id, but parent stages are
executed first. This pull request changes the behavior so parent stages would
Github user ankurdave commented on the pull request:
https://github.com/apache/spark/pull/2096#issuecomment-54423889
Jenkins, retest this please.
This was a problematic commit in GraphX which I just
Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/2263#issuecomment-54424705
Thanks for reviewing this, you're right, the log4j configuration template
mainly for Hive usage (particularly for MapReduce), I've updated the code and
keep it
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Jenkins, test this please.
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Github user adrian-wang commented on the pull request:
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I hate graphx :(
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Github user rxin commented on the pull request:
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LGTM pending Jenkins.
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Don't hate it :)
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Jenkins, retest this please.
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Jenkins, ok to test.
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Github user ChengXiangLi commented on the pull request:
https://github.com/apache/spark/pull/2194#issuecomment-54425347
we hit the binary incompatibilities error here, i already annotated new
added methods as DeveloperApi, do i miss something here?
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Jenkins, add to whitelist.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/2178#issuecomment-54429684
Ok I updated the PR to set spark.shuffle.spill.compress and
spark.shuffle.compress consistent for now.
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/2216#issuecomment-54431716
@watermen @tdas PS do you think this can be added to the Java API too? it
needs to be a new additional method not a change to the existing one. Worth the
extra method,
Github user sarutak commented on the pull request:
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Jenkins, test this please.
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GitHub user sryza opened a pull request:
https://github.com/apache/spark/pull/2274
SPARK-2978. Transformation with MR shuffle semantics
I didn't add this to the transformations list in the docs because it's kind
of obscure, but would be happy to do so if others think it would be
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Github user chutium commented on a diff in the pull request:
https://github.com/apache/spark/pull/1612#discussion_r17101449
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcResultSetRDD.scala ---
@@ -0,0 +1,72 @@
+/*
+ * Licensed to the Apache Software
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/2268#issuecomment-54432582
@witgo The release process does this, I believe. I don't think you need to
open a PR for this especially before 1.1.0 is released
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https://github.com/apache/spark/pull/2267#discussion_r17101501
--- Diff: spark2 ---
@@ -0,0 +1 @@
+Some changes
--- End diff --
What is this file? accidentally added?
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Github user srowen commented on a diff in the pull request:
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala
---
@@ -396,6 +396,26 @@ class PairDStreamFunctions[K,
Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/1388#discussion_r17101588
--- Diff: python/pyspark/mllib/regression.py ---
@@ -66,6 +66,9 @@ def weights(self):
def intercept(self):
return self._intercept
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Github user chenghao-intel commented on the pull request:
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test this please
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test this please
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Jenkins doesn't work?
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test this please
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Github user witgo commented on the pull request:
https://github.com/apache/spark/pull/2268#issuecomment-54441310
@srowen I agree with you. But
[SparkContext.SPARK_VERSION](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/SparkContext.scala#L1300)
has
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LGTM
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Github user lianhuiwang commented on the pull request:
https://github.com/apache/spark/pull/1113#issuecomment-54457835
@JoshRosen @andrewor14 I have update comment. has any question for it?
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Github user BigCrunsh commented on the pull request:
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Jenkins, retest this please.
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Github user BigCrunsh commented on the pull request:
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@mengxr: done ;)
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https://github.com/apache/spark/pull/2231#issuecomment-54460133
[QA tests have
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Github user jerry86 commented on the pull request:
https://github.com/apache/spark/pull/1156#issuecomment-54463121
@pwendell I think this seems to be the best choice at this moment. Not sure
if Amazon has made or will make any improvements to PVM that fits PySpark.
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Github user ScrapCodes commented on the pull request:
https://github.com/apache/spark/pull/2194#issuecomment-54465038
I am looking at this. Mima check should have excluded those methods.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2231#issuecomment-54473057
[QA tests have
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/2247#issuecomment-54474045
Perhaps we should have a separate discussion on the dev mailing list as
what we consider public interfaces? That way everyone is in agreement or at
least is following
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