GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/8282
[SPARK-10088] [sql] Add support for "stored as avro" in HiveQL parser.
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37337556
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercep
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/8184#issuecomment-132314885
Looks good except for those items. I ran the Scala example.
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Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8184#discussion_r37337185
--- Diff: docs/ml-features.md ---
@@ -649,6 +649,80 @@ for expanded in polyDF.select("polyFeatures").take(3):
+## Discrete Cosine Trans
Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8184#discussion_r37337180
--- Diff: docs/ml-features.md ---
@@ -649,6 +649,80 @@ for expanded in polyDF.select("polyFeatures").take(3):
+## Discrete Cosine Trans
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37336590
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercep
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/8186#issuecomment-132313042
I don't think that this is the right semantic. Correct me if I'm wrong,
but I think that we should use `hive.metastore.warehouse.dir` as the default
location when crea
Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37336485
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Inter
Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37336212
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Inter
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37336156
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercep
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8258#issuecomment-132312001
pyspark fail is the same flaky test that has been failing on and off for a
long time. I'm merging this.
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8276#issuecomment-132311929
@sun-rui Generally, the changes looks good to me, could you add unit tests
for ArrayType? Do we want to support create create DataFrame from ArrayType
(could be another P
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--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercep
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37335316
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercep
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37335210
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercep
Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/8007#issuecomment-132309535
Jenkins, retest this please
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Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/8197#issuecomment-132309366
Cool LGTM, @jkbradley for final pass
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Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8271#discussion_r37335135
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala ---
@@ -74,6 +74,17 @@ class MatricesSuite extends SparkFunSuite {
Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8271#discussion_r37335078
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala
---
@@ -281,7 +281,11 @@ class DenseMatrix(
/**
* @since 1.3.0
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8007#issuecomment-132308808
> Should we try to merge this commit first and have your commit be rebased
on top of this?
I think that's the best approach; Mark can keep some (or all) of the co
Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8271#discussion_r37334947
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala
---
@@ -281,7 +281,11 @@ class DenseMatrix(
/**
* @since 1.3.0
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Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/8197#issuecomment-132308590
I have merged your changes. Thanks!
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Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/8271#issuecomment-132308301
:+1: at first I was concerned that this might be unnecessary since `Array`
checks for bounds, but this PR fixes a bug which occurs when a user provides an
OOB row i
Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/8007#issuecomment-132307731
Cool - and once again, trying the new commit would be appreciated.
Also @markgrover how do we want to resolve all of the duplicate work being
done here and in #
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GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/8281
[SPARK-10080][SQL] Fix binary incompatibility for $ column interpolation
Turns out that inner classes of inner objects are referenced directly, and
thus moving it will break binary compatibility.
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Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/8197#issuecomment-132306453
@MechCoder I sent you a PR, please merge if you like the changes.
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/8280
[CORE] Disable spark.shuffle.reduceLocality.enabled by default.
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$ git pull https://github.com/yhuai/spark disableReduceLocalityB
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37333263
--- Diff: docs/ml-guide.md ---
@@ -801,6 +801,153 @@ jsc.stop();
+## Examples: Summaries for LogisticRegression.
+
+Once
[`Log
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--- Diff: core/src/main/scala/org/apache/spark/api/r/SerDe.scala ---
@@ -210,22 +213,31 @@ private[spark] object SerDe {
writeType(dos, "void")
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/7388
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Github user jkbradley commented on a diff in the pull request:
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--- Diff: docs/ml-guide.md ---
@@ -801,6 +801,153 @@ jsc.stop();
+## Examples: Summaries for LogisticRegression.
+
+Once
[`Log
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/8268#discussion_r37331657
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -178,6 +179,10 @@ object ColumnPruning extends Rule[Log
Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/7380#issuecomment-132299068
Apart from that minor comment, LGTM @mengxr
Thanks for the PR @BryanCutler . And @manishamde I took the liberty of
reviewing the PR since you were busy. Hope
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/7388#issuecomment-132297867
I'll merge this with master and branch-1.5. @hhbyyh Thanks a lot!
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Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/8276#issuecomment-132297061
Thanks @sun-rui I'll take a look at this today
cc @davies
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Github user JasmineGeorge commented on the pull request:
https://github.com/apache/spark/pull/7842#issuecomment-132294464
formatted those files as well. Sorry I missed them last time.
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Github user MechCoder commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impurity/Variance.scala ---
@@ -57,6 +60,7 @@ object Variance extends Impurity {
/**
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Github user NathanHowell commented on the pull request:
https://github.com/apache/spark/pull/8246#issuecomment-132293317
Will do, thanks.
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8264#issuecomment-132292648
@yu-iskw Would you mind to add doc for every function?
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Github user markgrover commented on the pull request:
https://github.com/apache/spark/pull/8007#issuecomment-132292001
Yeah, for sure, let me upload the logs on gist and explain what I am
talking about. Will do that soon.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/8246#issuecomment-132291972
This sounds great, thanks! I'll need to finish up with QA for 1.5 before
taking a look, but please ping me if I don't return to review before long.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/7388#issuecomment-132291780
Modifying the LDA example sounds good to me. It does mean using spark.ml
classes in spark.mllib examples, but I don't really see a problem with that for
examples. (I
Github user markgrover commented on the pull request:
https://github.com/apache/spark/pull/8093#issuecomment-132291876
Thanks Marcelo, the code more or less works but GetExecutorLossReason is
getting called twice. So, I need to work that out with @mccheah. Once that's
resolved, I will
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8264#issuecomment-132290516
@yu-iskw You add this patch, then you do not need the special version of
rand/randn
```
--- a/core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
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Github user piaozhexiu commented on the pull request:
https://github.com/apache/spark/pull/8216#issuecomment-132289421
I believe the YarnClusterSuite failure is fixed by
[SPARK-10059](https://issues.apache.org/jira/browse/SPARK-10059) because I see
the same error message (`java.lang.N
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Github user BenFradet commented on the pull request:
https://github.com/apache/spark/pull/7406#issuecomment-132288239
@rxin @andrewor14
This patch doesnt really make sense with the introduction of
[SQLTestData](https://github.com/apache/spark/blob/master/sql/core/src/test/scal
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Github user feynmanliang commented on the pull request:
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@mengxr Rebased (again...) :trollface:
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cc/ @jkbradley @manishamde @mengxr
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Github user huitseeker commented on a diff in the pull request:
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--- Diff: python/pyspark/streaming/dstream.py ---
@@ -454,7 +454,10 @@ def reduceByWindow(self, reduceFunc, invReduceFunc,
windowDuration, slideDuratio
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--- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -163,6 +163,23 @@ private[spark] class Client(
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