Github user dreamquster commented on the pull request:
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@yhuai . Is this comment OK?
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--- Diff:
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@@ -61,39 +62,40 @@ private[hive] case class HiveFunctionWrapper(var
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@@ -197,3 +233,69 @@ trait InsertableRelation {
trait CatalystScan
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GitHub user scwf opened a pull request:
https://github.com/apache/spark/pull/5665
[SPARK-7093][SQL] Using newPredicate in NestedLoopJoin to enable code
generation
Using newPredicate in NestedLoopJoin instead of InterpretedPredicate to
enable code generation
You can merge this
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/5660#issuecomment-95627460
Would like to add some background about this change:
Spark SQL repackaged Hive jars to remove unnecessary shading and
dependencies. One of them is Kryo. Hive
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/5660#discussion_r28974257
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/5526#issuecomment-95636852
@marmbrus @yhuai @rxin Previous comments are addressed, Also added tests
(`ignore`d for now) in `FSBasedRelationSuite`. Going to implement all the
interface.
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@@ -145,20 +147,27 @@ case class
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add to whitelist
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GitHub user His-name-is-Joof opened a pull request:
https://github.com/apache/spark/pull/5667
[SPARK-6856] [R] Make RDD information more useful in SparkR
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--- Diff:
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@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5245#issuecomment-95678246
@yinxusen I'm not sure whether it is faster or not. That's why I put the
new approach side by side. Please help test the performance. Thanks!
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Github user His-name-is-Joof commented on the pull request:
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How's that? Very new to contributing to large projects in general, so
criticism welcome. Excellent bugtracker and starter bugs!
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Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/5645#issuecomment-95678755
@jerryshao @hshreedharan Can you please take a look.
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Github user concretevitamin commented on the pull request:
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Thanks, @sun-rui - doing a grep, could you also update test_rdd.R's line
124?
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Github user shivaram commented on the pull request:
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Jenkins, retest this please
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5625#issuecomment-95665707
Merging in master branch-1.3.
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Github user rxin commented on the pull request:
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Actually this doesn't merge cleanly into 1.3. Do you mind submitting a pull
request for that branch? Thanks.
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Jenkins, ok to test
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Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/5622#discussion_r28986044
--- Diff:
core/src/main/scala/org/apache/spark/util/collection/ExternalSorter.scala ---
@@ -736,11 +734,16 @@ private[spark] class ExternalSorter[K, V, C](
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/5633#issuecomment-95671327
Unfortunately we can't run the docker tests on Jenkins and they cause
issues with dependencies during the release so we temporarily removed them. I
can try running
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/5664#issuecomment-95671673
This needs to be integrated with the `SSLOptions` configuration added in
cfea30037f (#3571), instead of creating its own way of configuring things.
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/5666#issuecomment-95673967
Hey, we probably do want to do this at some point, but I'm not sure the
answer is ByteBuffer. Big changes like this should be proposed in JIRA and
discussed before
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5666#issuecomment-95674982
Thanks for submitting this. It's our fault to have that JIRA ticket there
and suggest nio.ByteBuffer.
ByteBuffer is not the right abstraction for this. It's API is
Github user linlin200605 commented on the pull request:
https://github.com/apache/spark/pull/5641#issuecomment-95674803
lz4-1.3.0 needs Java 7 for building the jar, usually not necessarily
require JDK 7 at runtime if there is backward compatibility. I will follow up
on that.
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/JobPage.scala ---
@@ -17,20 +17,167 @@
package org.apache.spark.ui.jobs
-import
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/JobPage.scala ---
@@ -17,20 +17,167 @@
package org.apache.spark.ui.jobs
-import
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/5354#issuecomment-95680725
It seems like the Jackson dep has to be excluded to get SBT + Hadoop 1.0.4
to work. I think that has to stay then, yeah. I think the httpclient stuff can
be cleaned up a
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Github user steveloughran commented on the pull request:
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There's no obvious reason why the Jenkins build failed; the console says
all the tests passed.
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Github user saucam commented on the pull request:
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retest please
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@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software
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[SPARK-5553][SQL] Replace Array[Byte] with Java NIO ByteBuffer as binary
type representation
JIRA: https://issues.apache.org/jira/browse/SPARK-5553
This pr attempts to replace Array[Byte]
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Github user rxin commented on the pull request:
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I've merged this into master branch-1.3.
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Github user jkbradley commented on the pull request:
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Thanks for catching that! LGTM pending tests
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Github user kayousterhout commented on the pull request:
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LGTM!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -0,0 +1,225 @@
+/*
+ * Licensed to the Apache Software
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@@ -0,0 +1,225 @@
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeModels.scala ---
@@ -58,3 +58,43 @@ trait DecisionTreeModel {
header +
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--- Diff:
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@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache
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@@ -298,3 +302,200 @@ private[ml] object TreeRegressorParams {
//
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
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+/*
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Github user sarutak commented on the pull request:
https://github.com/apache/spark/pull/2342#issuecomment-95675268
I almost addressed your feedbacks.
Using this vs the approach in #5547. I think a good answer here is to use
this vis.js library for the jobs page and then use
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/5423#issuecomment-95675502
Yes, it says it timed out (two comments up)
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GitHub user saucam opened a pull request:
https://github.com/apache/spark/pull/5668
[SPARK-7097][SQL]: Partitioned tables should only consider referred
partitions in query during size estimation for checking against
autoBroadcastJoinThreshold
This PR attempts to add support for
Github user marmbrus closed the pull request at:
https://github.com/apache/spark/pull/5639
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