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--- Diff:
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@@ -360,6 +360,7 @@ trait CheckAnalysis extends Predi
Github user eyalfa commented on a diff in the pull request:
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--- Diff:
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---
@@ -174,59 +174,32 @@ case class CreateMap(child
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Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -566,8 +582,8 @@ class Word2VecModel private[spark] (
wordList.zi
Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -68,6 +69,21 @@ class Word2VecSuite extends SparkFunSuite with
MLlib
Github user srowen commented on the issue:
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Yes please close this as a duplicate
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Github user yangw1234 commented on the issue:
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Yes, this is a duplicate, closing it.
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Github user dongjoon-hyun commented on the issue:
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Rebased to resolve conflicts.
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Github user srowen commented on the issue:
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OK, this is just a copy of another config file?
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Github user srowen commented on the issue:
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I don't feel strongly about it, but you could write these times in units of
seconds now.
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Github user srowen commented on the issue:
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The question isn't the language of the UI, but of the host OS. I think this
just causes the previous problem again, and that seems more important. I don't
think we can make this change as is.
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--- Diff:
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@@ -47,13 +47,20 @@ public static int roundNumberOfBytesToNeare
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--- Diff:
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@@ -46,6 +47,7 @@ private[columnar]
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@@ -699,9 +703,10 @@ public boolean append(Object kbase, long koff, int
kle
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yes, its some what similar to ```common/network-shuffle```
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Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/ChiSqSelector.scala ---
@@ -171,14 +166,48 @@ object ChiSqSelectorModel extends
Loader[ChiSqSel
Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -171,14 +166,48 @@ object ChiSqSelectorModel extends
Loader[ChiSqSel
Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/ChiSqSelector.scala ---
@@ -68,8 +99,23 @@ final class ChiSqSelector @Since("1.6.0")
(@Since("1.6.
Github user srowen commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/feature.py ---
@@ -271,28 +271,75 @@ def transform(self, vector):
return JavaVectorTransformer.transform(self, vect
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Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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@@ -1098,9 +1098,16 @@ object ReplaceExceptWithAntiJoin
Github user srowen commented on the issue:
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Ping @zhengruifeng are you in a position to keep working on this or should
I take it over?
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@@ -232,66 +232,62 @@ private[csv] object CSVTypeCa
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@@ -232,66 +232,62 @@ private[csv] object CSVTypeCa
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -329,7 +329,8 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
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Merged to master/2.0
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--- Diff: sql/catalyst/src/test/scala/org/apache/spark/sql/RowTest.scala ---
@@ -121,10 +121,6 @@ class RowTest extends FunSpec with Matchers {
Github user hvanhovell commented on the issue:
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@rxin any opinion about this?
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Github user srowen commented on the issue:
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I don't see that any docs were added? I mean in the user facing
documentation under docs/
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Github user srowen commented on the issue:
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OK, I think this is a good change. Maybe to be conservative we'll only put
this in master.
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Github user srowen commented on the issue:
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@HyukjinKwon I think you'd know better than I. I tend to agree it would
make the examples more self-contained and readable. It would lead to some more
duplication of code I guess, but if you judge it
Github user srowen commented on the issue:
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@darabos do you want to close this out or should I do the update?
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LGTM
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I feel strongly enough about it that I'd request we close this PR
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Github user WeichenXu123 commented on the issue:
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cc @srowen thanks!
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GitHub user cenyuhai opened a pull request:
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[SPARK-17501][CORE] Record executor heartbeat timestamp when received
heartbeat event.
## What changes were proposed in this pull request?
Record executor's latest heartbeat timestamp when re
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Github user gglanzani commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -1296,9 +1296,19 @@ def asML(self):
return newlinalg.SparseMatrix(self.numRows, self.n
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -1827,7 +1827,7 @@ class Dataset[T] private[sql](
val resolver = sparkS
Github user cloud-fan commented on the issue:
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Sorry I was quite busy these days. It looks to me that a better approach is
adding new API, instead of fixing the one with string parameter. cc @liancheng
@yhuai what do you think?
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sure, I close it now
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Github user mpjlu commented on the issue:
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Thanks very much, I am in holiday now, will update the code this Sunday.
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LGTM, pending jenkins.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15082#discussion_r78927126
--- Diff: sql/catalyst/src/test/scala/org/apache/spark/sql/RowTest.scala ---
@@ -121,10 +121,6 @@ class RowTest extends FunSpec with Matchers {
e
Github user SparkQA commented on the issue:
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14969
Ah, hm, though this passed the PR builder, for some reason it fails to
build because of MiMa checks:
```[error] * method executorToTotalCores()scala.collection.mutable.HashMap
in class org.
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/15101
retest this please
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/1#discussion_r78928177
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
---
@@ -174,59 +174,32 @@ case class CreateMap(ch
Github user SparkQA commented on the issue:
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GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/15110
[SPARK-17406] [BUILD] [HOTFIX] MiMa excludes fix
## What changes were proposed in this pull request?
Following https://github.com/apache/spark/pull/14969 for some reason the
MiMa excludes w
Github user SparkQA commented on the issue:
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