Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/10225#discussion_r47095121
--- Diff:
core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala ---
@@ -80,6 +77,65 @@ private[spark] class DiskBlockManager(blockManage
Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/9306#issuecomment-163253041
> However s3a is not a breeze either (even in newer Hadoop 2.7+ versions),
especially with Frankfurt buckets, which support only AWS Signature V4.
really?
Github user chenghao-intel commented on a diff in the pull request:
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--- Diff:
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@@ -80,6 +77,65 @@ private[spark] class DiskBlockManager(blockManage
Github user lpiepiora closed the pull request at:
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Github user lpiepiora commented on the pull request:
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@steveloughran yes, that's exactly what happened to me in this PR. I wanted
to fix it but, in general as you've said this just yields more problems on
multiple levels.
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/10174#discussion_r47090351
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/Strategy.scala
---
@@ -0,0 +1,33 @@
+/*
+ * Licensed to the Apache Softw
Github user dragos commented on the pull request:
https://github.com/apache/spark/pull/9824#issuecomment-163234317
Copying is fine by me, it's a really small piece of code. I already closed
my PR.
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Can one of the admins verify this patch?
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GitHub user yucai opened a pull request:
https://github.com/apache/spark/pull/10225
[SPARK-12196][Core] Store blocks in storage devices with hierarchy way
https://issues.apache.org/jira/browse/SPARK-12196
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Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/9306#issuecomment-163222684
Moving to Hadoop 0.90
[HADOOP-9623](https://issues.apache.org/jira/browse/HADOOP-9623) was what could
be described as "an accidental disaster"'; the patch swallowe
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Github user BenFradet commented on the pull request:
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@yinxusen I'll have a look later today
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Github user steveloughran commented on the pull request:
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(I may be trusted enough to start a run..let's see)
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Jenkins, test this please
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https://github.com/apache/spark/pull/10212#discussion_r47083416
--- Diff: core/src/main/scala/org/apache/spark/util/JsonProtocol.scala ---
@@ -718,6 +719,7 @@ private[spark] object JsonProtocol {
metrics.set
Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/8972#issuecomment-163206656
@jayantshekhar
1. Agree with @dbtsai I prefer to use `KMeansModel` in ML package directly
other than `MLlibKMeans` here.
2. I think it's better to def
Github user steveloughran commented on the pull request:
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Failing test is pyspark âpretty unlikely to be related
```
==
FAIL: test_count_by_v
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@BenFradet Does the code look good for you?
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkS3Util.scala ---
@@ -0,0 +1,342 @@
+/*
+ * Licensed to the Apache Software Foundation
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--- Diff: core/pom.xml ---
@@ -40,6 +40,16 @@
${avro.mapred.classifier}
+ com.amazonaws
+ aws-java-sdk-s
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--- Diff: python/pyspark/ml/tests.py ---
@@ -371,6 +378,126 @@ def test_fit_maximize_metric(self):
self.assertEqual(1.0, bestModelMetric, "Best
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GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/10224
[WIP][SPARK-??][STREAMING] Renamed trackStateByKey to mapWithState
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Alternativel
Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8972#discussion_r47078991
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -176,6 +176,21 @@ class KMeans @Since("1.5.0") (
@Since("1.5.0")
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/10004#issuecomment-163187890
I know that the current visual effect of super long paths isn't perfect,
but at least it doesn't introduce super wide plan nodes. And this is also how
our current UI
Github user KaiXinXiaoLei commented on the pull request:
https://github.com/apache/spark/pull/10157#issuecomment-163186959
ok. thanks.
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Github user yanboliang commented on the pull request:
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Looks good except minor issues.
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https://github.com/apache/spark/pull/10186#discussion_r47074421
--- Diff: python/pyspark/ml/feature.py ---
@@ -2093,6 +2093,95 @@ class RFormulaModel(JavaModel):
"""
+@inherit_doc
+class Chi
Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/10186#discussion_r47074185
--- Diff: python/pyspark/ml/feature.py ---
@@ -2093,6 +2093,95 @@ class RFormulaModel(JavaModel):
"""
+@inherit_doc
+class Chi
Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/10186#discussion_r47074147
--- Diff: python/pyspark/ml/feature.py ---
@@ -2093,6 +2093,95 @@ class RFormulaModel(JavaModel):
"""
+@inherit_doc
+class Chi
Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/9819#discussion_r47073901
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
---
@@ -328,3 +281,222 @@ object FrameBoundaryExtr
Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/9819#discussion_r47073846
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
---
@@ -328,3 +281,222 @@ object FrameBoundaryExtr
Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/10150#discussion_r47073596
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -38,13 +38,175 @@
from pyspark.mllib.util import Saveable, Loader, inherit_doc, JavaLoader,
JavaS
Github user yanboliang commented on the pull request:
https://github.com/apache/spark/pull/10158#issuecomment-163179848
LGTM @mengxr
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@@ -592,11 +594,17 @@ class Analyzer(
}
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Github user yinxusen commented on the pull request:
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@BenFradet It's reasonable. I'll modify them now. Thanks for the review.
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--- Diff:
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@@ -56,12 +55,16 @@ abstract class RuleExecutor[Tree
Github user stephankessler commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -17,6 +17,8 @@
package org.apache.spark
Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/10085#issuecomment-163172333
@yanboliang I am OK to change `Bucketizer` to a `JavaModel`. At that time I
just do not want to change that piece of code. That's also why I closed my PR
because I thi
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--- Diff: python/pyspark/mllib/clustering.py ---
@@ -38,13 +38,175 @@
from pyspark.mllib.util import Saveable, Loader, inherit_doc, JavaLoader,
JavaS
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https://github.com/apache/spark/pull/10150#discussion_r47070564
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -38,13 +38,175 @@
from pyspark.mllib.util import Saveable, Loader, inherit_doc, JavaLoader,
JavaS
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -121,6 +121,22 @@ private[python] class PythonMLLibAPI extend
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Github user sun-rui commented on the pull request:
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LGTM
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Github user yanboliang commented on the pull request:
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I vote for make ```Bucketizer``` to a ```Model``` rather than
```Transformer``` which is consistent with Scala code. @yinxusen Could you
explain the reason that you
Github user BenFradet commented on the pull request:
https://github.com/apache/spark/pull/10219#issuecomment-163165116
I notice some formatting quirks, especially for scala examples, otherwise
it looks good.
However, shouldn't we take advantage of this pr to standardize the ou
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https://github.com/apache/spark/pull/10219#discussion_r47068916
--- Diff:
examples/src/main/scala/org/apache/spark/examples/ml/ElementWiseProductExample.scala
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@@ -0,0 +1,53 @@
+/*
+ * Licensed to the Apache
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+/*
+ * Licensed to the Apache Soft
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+ * Licensed to the Apache Software Founda
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+/*
+ * Licensed to the Apach
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GitHub user ScrapCodes opened a pull request:
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[SPARK-12238][STREAMING][DOCS] s/Advanced Sources/External Sources in docs.
While reading the streaming docs, I felt reading as external
sources(instead of Advanced sources) seemed more appropri
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/10181#issuecomment-163159930
I don't think simply adding a test for the field works. It is part of the
jdk lib, not a jar we ship. Adding a test only tests our own Jenkins
environment.
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