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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/LSH.scala ---
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+/*
+ * Licensed to the Apache Software Foundation (ASF)
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[SPARK-18058][SQL] Comparing column types ignoring Nullability in
BinaryOperator
## What changes were proposed in this pull request?
The PR tries to fix
[SPARK-18058](https://issues.apa
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[SPARK-18061][SQL][Security] Spark Thriftserver needs to create SPNego
principal
## What changes were proposed in this pull request?
Spark Thriftserver when running in HTTP mode with Kerberos e
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Github user rxin commented on the issue:
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Thanks - I'm going to merge this. I will address the doc and naming comment
in the next pr in this series.
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cc @dbtsai Would be great if you get a chance to look at this.
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/WeightedLeastSquares.scala ---
@@ -85,73 +104,198 @@ private[ml] class WeightedLeastSquares(
Github user sethah commented on a diff in the pull request:
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--- Diff:
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@@ -44,35 +46,52 @@ private[ml] class WeightedLeastSquaresModel(
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--- Diff:
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@@ -44,35 +46,52 @@ private[ml] class WeightedLeastSquaresModel(
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/NormalEquationSolver.scala ---
@@ -0,0 +1,153 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
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@@ -0,0 +1,153 @@
+/*
+ * Licensed to the Apache Software Foun
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Looks like two failing tests in FileStreamSourceSuite
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--- Diff:
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---
@@ -82,14 +82,23 @@ class QuantileDiscretizerSuite
Github user jkbradley commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -73,15 +74,51 @@ final class Bucketizer @Since("1.4.0") (@Since("1.4.0")
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--- Diff: python/pyspark/ml/feature.py ---
@@ -1157,9 +1157,11 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
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--- Diff:
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@@ -100,6 +102,24 @@ final class QuantileDiscretizer @Since("1.6.0
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
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--- Diff:
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@@ -100,6 +102,24 @@ final class QuantileDiscretizer @Since("1.6.0
Github user yhuai commented on a diff in the pull request:
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--- Diff: scalastyle-config.xml ---
@@ -200,6 +200,7 @@ This file is divided into 3 sections:
// scalastyle:off awaitresult
Await.result(.
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lgtm
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
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--- Diff: docs/ml-features.md ---
@@ -1104,9 +1104,11 @@ for more details on the API.
`QuantileDiscretizer` takes a column with continuous features and
Github user ericl commented on the issue:
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@cloud-fan I think this is pretty close once
https://github.com/apache/spark/pull/15539 is merged.
The only remaining issues I know about are (1) supporting mixed case
columns, and (2) optimi
Github user davies commented on the issue:
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Together with this one, we should have a optimizer rule that could 1)
extract GetStructField (and others) and push that down closer to the data
source, or 2) flatten all the nested field in data sou
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I'm closing this since caching is not the ultimate solution for this
problem anyway. Caching is too memory consuming when you, say, computing
connected components in an iterative way over a graph
Github user sethah commented on the issue:
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cc @dbtsai
This may improve the problems you mentioned you were having on
[SPARK-17134](https://issues.apache.org/jira/browse/SPARK-17134) :)
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[SPARK-18060][ML] Avoid unnecessary computation for MLOR
## What changes were proposed in this pull request?
Before this patch, the gradient updates for multinomial logistic regression
were
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Github user zsxwing commented on the issue:
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LGTM. Thanks! Merging to master and 2.0.
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@zsxwing Can you take a look?
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[SPARK-17624][SQL][STREAMING][TEST] Fixed flaky StateStoreSuite.maintenance
## What changes were proposed in this pull request?
The reason for the flakiness was follows. The test starts the ma
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--- Diff:
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@@ -126,4 +136,52 @@ object FileSourceStrategy e
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@@ -212,6 +212,11 @@ object SQLConf {
.booleanConf
.cre
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@@ -661,6 +666,8 @@ private[sql] class SQLConf extends Serializable with
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@@ -212,6 +212,11 @@ object SQLConf {
.booleanConf
.cre
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LGTM. Merging to master and 2.0. Thanks!
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Github user SparkQA commented on the issue:
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Github user asfgit closed the pull request at:
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Github user zsxwing commented on the issue:
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@cloud-fan there are conflicts with 2.0. Could you submit another PR for
that?
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Github user zsxwing commented on the issue:
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LGTM. Merging to master and 2.0. Thanks!
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Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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GitHub user AbhiMadav opened a pull request:
https://github.com/apache/spark/pull/15591
[SPARK-17922] [SQL] ClassCastException java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator
cannot be cast to org.apache.spark.sql.catalyst.express
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Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala
---
@@ -0,0 +1,323 @@
+/*
+ * Licensed to th
Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectHashAggregateExec.scala
---
@@ -0,0 +1,125 @@
+/*
+ * Licensed to the
Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectHashAggregateExec.scala
---
@@ -0,0 +1,125 @@
+/*
+ * Licensed to the
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