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@holdenk updated the description.
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Github user felixcheung commented on the issue:
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Problem is the required and generated `vignette.rds` RDS file is a binary
file?
I'm not sure about checking in binaries in git, that would show up in a
source-only release?
Maybe create-
Github user holdenk commented on the issue:
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So this change looks good to me, but it seems like it fixes more than just
the bug described in the JIRA & PR description with @jkbradley's change
integrated (namely the issue with param copy which
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Github user felixcheung commented on the issue:
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Thanks for testing and fixing this. A couple of minor comments.
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/RWrapperUtils.scala ---
@@ -41,5 +41,29 @@ object RWrapperUtils extends Logging {
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -1039,6 +1045,12 @@ test_that("spark.gbt", {
expect_equal(iris2$NumericSpecies, as.double(c
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--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
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predictions <- collect(
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Github user holdenk commented on the issue:
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Thanks @davies :)
I think at this point we've probably got things pretty well covered
(@viirya & @nchammas also have done a lot of review and @minrk took a look at
the initial PR / directi
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Github user davies commented on the issue:
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This looks good to me in general, but did not check all the details.
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Github user holdenk commented on a diff in the pull request:
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--- Diff: python/MANIFEST.in ---
@@ -0,0 +1,23 @@
+#!/usr/bin/env python
--- End diff --
oh yah not needed, probably from copying the license
Github user davies commented on a diff in the pull request:
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--- Diff: python/MANIFEST.in ---
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+#!/usr/bin/env python
--- End diff --
?
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Github user kiszk commented on the issue:
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@cloud-fan @hvanhovell could you please review this since there is no
failure now?
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Github user nsyca commented on the issue:
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Thanks for the tip on the code. I will work on it.
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Github user srowen commented on the issue:
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(Update the title please; see others for format)
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Github user hvanhovell commented on the issue:
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I think it is also better that we start whitelisting operators instead
blacklisting them.
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Github user hvanhovell commented on the issue:
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@nsyca it should be relatively straighforward to implement this here:
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#
Github user thunterdb commented on the issue:
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@yanboliang that looks great, thank you. LGTM.
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Github user sethah commented on a diff in the pull request:
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@@ -88,6 +89,12 @@ class GeneralizedLinearRegression
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+1
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Github user nsyca commented on the issue:
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@hvanhovell Then we will need to walk from the top of the operator hosting
the outer reference to the operator hosting the correlation to ensure there is
no Aggregate or Window operator.
If t
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GitHub user tcondie opened a pull request:
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Spark 18187
## What changes were proposed in this pull request?
CompactibleFileStreamLog relys on "compactInterval" to detect a compaction
batch. If the "compactInterval" is reset by user, Comp
Github user vanzin commented on the issue:
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Merging to master.
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Github user dongjoon-hyun commented on the issue:
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Thank you, @gatorsmile .
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Github user hvanhovell commented on the issue:
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@nsyca I feel that the current approach is to restrictive. I would prefer
to just close the gap for Window and Aggregate.
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Also please fix the title to [SPARK-9487], and remove Python reference
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Jenkins test this please
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Jenkins add to whitelist
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Github user actuaryzhang commented on the issue:
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@sethah Thanks for your review and suggestion. I have made a new commit
reflecting your comments.
@srowen Thanks for all the suggestions. When do you think this change could
be merged
Github user srowen commented on the issue:
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@skanjila rebases are a fact of life, but they're not hard. I doubt it will
be an issue here.
No, you shouldn't make other changes in a separate PR. If TestSQLContext
needs to be changed too plea
Github user gatorsmile commented on the issue:
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retest this please
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LGTM
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Github user dongjoon-hyun commented on the issue:
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Thank you, @viirya . I added a prevention logic to prevent that case. Now
the PR works more like Hive.
Hi, @hvanhovell .
Could you review when you have sometime?
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@tdas Addressed your comments. Test time increased to 2.5 seconds though,
fyi.
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Github user techaddict commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/feature.py ---
@@ -1163,9 +1184,11 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
Github user rdblue commented on a diff in the pull request:
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--- Diff:
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@@ -1431,43 +1431,49 @@ case class FormatNumber(x
Github user rdblue commented on a diff in the pull request:
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--- Diff:
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@@ -36,7 +36,7 @@ import org.apache.spark.unsafe.ty
Github user sethah commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/feature.py ---
@@ -158,21 +158,28 @@ class Bucketizer(JavaTransformer, HasInputCol,
HasOutputCol, JavaMLReadable, Jav
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--- Diff: python/pyspark/ml/feature.py ---
@@ -1163,9 +1184,11 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
Github user nsyca commented on the issue:
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@hvanhovell ping... Are there anything I need to do to close this incorrect
result problem?
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Github user sethah commented on the issue:
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@jkbradley Thanks for clarifying, I see your argument now. I agree that it
makes sense from a statistical perspective. Still, I have not seen a single
paper that describes anything quite exactly like
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@actuaryzhang Thanks a lot for correcting this! I just had a small comment
to make the additional test shorter.
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+1. @mridulm you have any further comments?
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Github user pwoody commented on the issue:
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I've pushed up the ability to configure this feature being enabled as well.
Here is a benchmark when writing out 200 files with this code:
```
withSQLConf(ParquetOutputFormat.ENABLE_JOB_S
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Github user techaddict commented on the issue:
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@MLnick thanks for the review, addressed your comments.
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--- Diff: python/pyspark/ml/feature.py ---
@@ -1194,21 +1217,30 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
Github user techaddict commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/feature.py ---
@@ -158,19 +158,26 @@ class Bucketizer(JavaTransformer, HasInputCol,
HasOutputCol, JavaMLReadable, Jav
Github user kiszk commented on the issue:
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Does this approach avoid to generate code `convertedArray[loopIndex] =
null;` if `lambdaFunction.nullable` is `true`? Is it a design? I know that it
works correctly in this case since an array allocat
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Github user pwoody commented on the issue:
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Cool - I've added the caching, fixed style issues, and added pruning to the
bucketed reads.
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Jenkins, test this please
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Github user tgravescs commented on the issue:
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so I agree these are separate cases but I think the api makes sense to be
very similar, or at least in the same sort of class. I don't think we want a
public end user api in SparkHadoopUtil.updat
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/15817#discussion_r87586676
--- Diff: python/pyspark/ml/feature.py ---
@@ -1194,21 +1217,30 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/15817#discussion_r87586787
--- Diff: python/pyspark/ml/feature.py ---
@@ -1194,21 +1217,30 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/15817#discussion_r87586948
--- Diff: python/pyspark/ml/feature.py ---
@@ -158,19 +158,26 @@ class Bucketizer(JavaTransformer, HasInputCol,
HasOutputCol, JavaMLReadable, Jav
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13909
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Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13909#discussion_r87586194
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
---
@@ -43,11 +43,38 @@ trait ExpressionEvalHelper
Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/15800
@Yunni Spark DF should have a `posexplode`:
```
scala> val df = Seq((0, Array(Vectors.dense(1, 2), Vectors.dense(5, 4))),
(1, Array(Vectors.dense(3, 2), Vectors.dense(1, 2.toDF("id",
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