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Github user okoethibm commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
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@@ -132,7 +132,13 @@ private[deploy] class Master(
webUi.bind()
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GitHub user felixcheung opened a pull request:
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[SPARKR][DOC] update doc for fpgrowth
## What changes were proposed in this pull request?
minor update
@zero323
You can merge this pull request into a Git repository by runni
Github user umehrot2 commented on the issue:
https://github.com/apache/spark/pull/17445
Jenkins test this please.
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GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/17525
[SPARK-20209][SS] Execute next trigger immediately if previous batch took
longer than trigger interval
## What changes were proposed in this pull request?
For large trigger intervals (e.g. 10
Github user asfgit closed the pull request at:
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merged to master.
@zero323 could you follow up with vignettes and programming guide update
please - we need them for the 2.2.0 release.
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Github user gatorsmile commented on the issue:
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Thanks! Merging to master.
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/17524
[SPARK-19235] [SQL] [TEST] [FOLLOW-UP] Enable Test Cases in DDLSuite with
Hive Metastore
### What changes were proposed in this pull request?
This is a follow-up of enabling test cases in DD
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -303,8 +333,25 @@ def isin(self, *cols):
desc = _unary_op("desc", "Returns a sort expression based
Github user witgo commented on a diff in the pull request:
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--- Diff:
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@@ -249,7 +249,9 @@ private[spark] class ExecutorAllocationManager(
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--- Diff: python/pyspark/sql/column.py ---
@@ -250,11 +250,39 @@ def __iter__(self):
raise TypeError("Column is not iterable")
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Github user HyukjinKwon commented on the issue:
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It might be better to run`./dev/lint-python` locally if possible. There
will catch more of minor nits ahead.
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17459
@johnc1231 The prototype I did:
https://github.com/apache/spark/compare/master...viirya:general-toblockmatrix?expand=1
Maybe you can take a look and see if it is useful to you.
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LGTM
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Github user johnc1231 commented on the issue:
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Alright, I agree with this. We'll switch off Dense or Sparse matrix
backings based on what the type of the first vector in the iterator is. I'd be
happy to take on making these adjustments.
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17506
The Scala style check fail because of the double spaced lines probably. But
that's how the existing code was so thought of keeping it that way.
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17459
> I considered having toBlockMatrix check if the rows of IndexedRowMatrix
were dense or sparse, but there is no guarantee of consistency. Like, an
IndexedRowMatrix could be a mix of Dense and Sparse
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@srowen - Could I get some love here as well. Thanks
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Github user dilipbiswal commented on the issue:
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Thanks a lot @ueshin @viirya @gatorsmile
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Github user dongjoon-hyun commented on the issue:
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Retest this please
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Github user johnc1231 commented on the issue:
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@viirya I think we definitely care about giving users the ability to make
either dense or sparse Block matrices. I made a 100k by 10k IndexedRowMatrix of
random doubles, then converted it to a Blo
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Github user HyukjinKwon commented on the issue:
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(it would be nicer if the title is fixed to indicate what it proposes in
short)
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Github user Downchuck commented on the issue:
https://github.com/apache/spark/pull/16347
Is there anyone on the Spark team taking this up? This bug is painful; it's
saddened a hundred TB of data I stacked up, and I'm really trying to avoid more
manual work. "INSERT OVERWRITE TABLE ...
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17394#discussion_r109558929
--- Diff: sql/core/src/test/resources/sql-tests/results/describe.sql.out ---
@@ -1,205 +1,259 @@
-- Automatically generated by SQLQueryTestSuite
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Github user ueshin commented on the issue:
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Thanks! Merging to master.
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Github user viirya commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/stat/Correlation.scala
---
@@ -56,7 +56,7 @@ object Correlation {
* Here is how to access the cor
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/17512
will update after #17518 + changes to R doc too
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Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/stat.py ---
@@ -71,6 +71,62 @@ def test(dataset, featuresCol, labelCol):
return _java2py(sc, javaTestObj.test(*args))
Github user felixcheung commented on the issue:
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+1 on that, we do have the log on the R side.
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Github user viirya commented on the issue:
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I've done some prototype locally to generalize this change to
`SparseMatrix`. During that, I have a thought that do we have the limit that
all Matrix in `BlockMatrix` need to be the same kind of Matr
Github user asfgit closed the pull request at:
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Github user gatorsmile commented on the issue:
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Thanks, Merging to master.
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Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/statsEstimation/FilterEstimation.scala
---
@@ -550,6 +565,220 @@ case clas
Github user viirya commented on the issue:
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LGTM
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Github user rxin commented on the issue:
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Merging in master.
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Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala ---
@@ -242,6 +251,16 @@ private[client] class Shim_v0_12 extends Shim with
Github user jinxing64 closed the pull request at:
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Github user jkbradley commented on a diff in the pull request:
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--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -85,38 +85,58 @@ class FPGrowthSuite extends SparkFunSuite with
MLlibTe
Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/17336#discussion_r109548283
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -85,38 +85,58 @@ class FPGrowthSuite extends SparkFunSuite with
MLlibTe
Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/15821
Thanks for the review @viirya, I'm working on an update but want to be sure
the python tests for arrow get run before I push.
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Github user BryanCutler commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2747,6 +2747,17 @@ class Dataset[T] private[sql](
}
}
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/17499
Maybe Hive can do it in Hive.
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Github user rxin commented on the issue:
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To be clear, I don't think we should have two separate places to define
config entries. If this is what the pr is doing, I strongly veto.
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Github user foxish commented on the issue:
https://github.com/apache/spark/pull/17522
@mridulm, I understand your concern here. This is however an effort from
the Kubernetes community
(https://github.com/kubernetes/kubernetes/issues/34377), so, the eventuality of
a different parallel
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/17522
Seems fine to me, since the number of external resource managers are small.
We should definitely make it clear there is no firm commitment currently to
merge this into Spark though.
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/16906
I think this looks reasonable, although it would maybe make sense to add a
warning if the user has explicitly requested hive support and we are falling
through to non-hive support (e.g. in the excep
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/17375
Anaconda default to 3.6 definitely makes this make more sense, thanks
@zero323 I had forgotten that. I'll give @davies until next week to say
anything about this but otherwise I think the set of bac
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17494#discussion_r109538706
--- Diff: python/pyspark/ml/stat.py ---
@@ -71,6 +71,62 @@ def test(dataset, featuresCol, labelCol):
return _java2py(sc, javaTestObj.test(*args)
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17494#discussion_r109538556
--- Diff: mllib/src/main/scala/org/apache/spark/ml/stat/Correlation.scala
---
@@ -56,7 +56,7 @@ object Correlation {
* Here is how to access the co
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/16793
Let me try and take a look tonight. It seems like there are some small
formatting issues still at a quick glance but I feel like this should be close.
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Github user holdenk commented on the issue:
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jenkins, ok to test.
Does someone on the SQL side have a chance to look at this to say if its
something they want added to the DataFrame API? Maybe @marmbrus ? I'm a little
hesistant with adding
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/17523
Thanks for doing this @setjet & welcome to the Spark project :) This change
looks good pending jenkins, if everything passes I'll merge it tonight.
For others looking at this PR wondering, m
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/17523
Jenkins OK to test.
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Github user vanzin commented on the issue:
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@srowen @tgravescs
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Github user AmplabJenkins commented on the issue:
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Github user mridulm commented on the issue:
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I dont think we should be pointing to third party projects in spark
documentation - for example, it might be possible that some other effort gets
merged in instead of the above.
If/when it
Github user SparkQA commented on the issue:
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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 noodle-fb commented on the issue:
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@JoshRosen ping? not sure how to github correctly
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GitHub user setjet opened a pull request:
https://github.com/apache/spark/pull/17523
[SPARK-20064][PySpark]
## What changes were proposed in this pull request?
PySpark version in version.py was lagging behind
Versioning is in line with PEP 440:
https://www.python.org/dev/pe
Github user nsyca commented on the issue:
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cc: @hvanhovell
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Github user AmplabJenkins commented on the issue:
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