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Wenchen Fan reassigned SPARK-20590:
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Assignee: Hyukjin Kwon
> Map default input data source formats to inlined classes
>
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Wenchen Fan resolved SPARK-20590.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Apache Spark commented on SPARK-12837:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20688:
Assignee: Apache Spark (was: Wenchen Fan)
> correctly check analysis for scalar
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Apache Spark reassigned SPARK-20688:
Assignee: Wenchen Fan (was: Apache Spark)
> correctly check analysis for scalar
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Apache Spark commented on SPARK-20688:
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User 'cloud-fan' has created a pull request for this issue:
Wenchen Fan created SPARK-20688:
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Summary: correctly check analysis for scalar sub-queries
Key: SPARK-20688
URL: https://issues.apache.org/jira/browse/SPARK-20688
Project: Spark
Issue Type:
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Ignacio Bermudez Corrales updated SPARK-20687:
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Comment: was deleted
(was: test("breeze conversion bug") {
//
Ignacio Bermudez Corrales created SPARK-20687:
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Summary: mllib.Matrices.fromBreeze may crash when converting
breeze CSCMatrix
Key: SPARK-20687
URL: https://issues.apache.org/jira/browse/SPARK-20687
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Umesh Chaudhary commented on SPARK-20554:
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[~srowen] Recently I did not get time to through all
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Hyukjin Kwon edited comment on SPARK-14584 at 5/10/17 3:56 AM:
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Hyukjin Kwon commented on SPARK-14584:
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[~joshrosen] SPARK-18284 fixes this.
Before this PR:
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liuxian updated SPARK-20665:
Summary: Spark-sql, "Bround" and "Round" function return NULL (was:
Spark-sql, "Bround" function return
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Herman van Hovell resolved SPARK-17685.
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Resolution: Fixed
Assignee: Yuming Wang
Fix Version/s: 2.3.0
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Takeshi Yamamuro commented on SPARK-18528:
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You tried spark-v2.1.1? This issue is fixed in
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Shea Parkes commented on SPARK-20683:
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For anyone that found this issue and just wants to revert to
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liuxian updated SPARK-20665:
Description:
>select bround(12.3, 2);
>NULL
For this case, the expected result is 12.3, but it is null
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Apache Spark reassigned SPARK-20686:
Assignee: Josh Rosen (was: Apache Spark)
> PropagateEmptyRelation incorrectly handles
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Apache Spark reassigned SPARK-20686:
Assignee: Apache Spark (was: Josh Rosen)
> PropagateEmptyRelation incorrectly handles
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Apache Spark commented on SPARK-20686:
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User 'JoshRosen' has created a pull request for this issue:
Josh Rosen created SPARK-20686:
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Summary: PropagateEmptyRelation incorrectly handles aggregate
without grouping expressions
Key: SPARK-20686
URL: https://issues.apache.org/jira/browse/SPARK-20686
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Apache Spark commented on SPARK-20311:
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User 'maropu' has created a pull request for this issue:
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Joseph K. Bradley resolved SPARK-20500.
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Resolution: Done
Fix Version/s: 2.2.0
> ML, Graph 2.2 QA: API: Binary
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Joseph K. Bradley commented on SPARK-20500:
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I checked the full MiMa output for MLlib and
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Michael Armbrust commented on SPARK-20376:
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/cc [~tdas]
> Make StateStoreProvider plugable
>
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Apache Spark commented on SPARK-20685:
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User 'JoshRosen' has created a pull request for this issue:
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Josh Rosen reassigned SPARK-20685:
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Assignee: Josh Rosen
> BatchPythonEvaluation UDF evaluator fails for case of single UDF with
Josh Rosen created SPARK-20685:
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Summary: BatchPythonEvaluation UDF evaluator fails for case of
single UDF with repeated argument
Key: SPARK-20685
URL: https://issues.apache.org/jira/browse/SPARK-20685
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Shixiong Zhu reassigned SPARK-20373:
Assignee: Genmao Yu
> Batch queries with 'Dataset/DataFrame.withWatermark()` does not
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Shixiong Zhu updated SPARK-20373:
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Fix Version/s: 2.3.0
2.2.1
> Batch queries with
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Apache Spark reassigned SPARK-20311:
Assignee: Apache Spark (was: Takeshi Yamamuro)
> SQL "range(N) as alias" or "range(N)
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Apache Spark reassigned SPARK-20311:
Assignee: Takeshi Yamamuro (was: Apache Spark)
> SQL "range(N) as alias" or "range(N)
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Yin Huai reopened SPARK-20311:
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> SQL "range(N) as alias" or "range(N) alias" doesn't work
>
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Yin Huai commented on SPARK-20311:
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It introduced a regression
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Yin Huai updated SPARK-20311:
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Fix Version/s: (was: 2.2.1)
(was: 2.3.0)
> SQL "range(N) as alias" or
Hossein Falaki created SPARK-20684:
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Summary: expose createGlobalTempView in SparkR
Key: SPARK-20684
URL: https://issues.apache.org/jira/browse/SPARK-20684
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-20205:
Assignee: Apache Spark
> DAGScheduler posts SparkListenerStageSubmitted before updating
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Apache Spark reassigned SPARK-20205:
Assignee: (was: Apache Spark)
> DAGScheduler posts SparkListenerStageSubmitted before
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Apache Spark commented on SPARK-20205:
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User 'vanzin' has created a pull request for this issue:
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Robert Kruszewski commented on SPARK-20683:
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+1, have the similar use case where we do cache
Shea Parkes created SPARK-20683:
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Summary: Make table uncache chaining optional
Key: SPARK-20683
URL: https://issues.apache.org/jira/browse/SPARK-20683
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-20682:
Assignee: Apache Spark
> Support a new faster ORC data source based on Apache ORC
>
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Apache Spark reassigned SPARK-20682:
Assignee: (was: Apache Spark)
> Support a new faster ORC data source based on Apache
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Apache Spark commented on SPARK-20682:
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User 'dongjoon-hyun' has created a pull request for this
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Dongjoon Hyun commented on SPARK-20682:
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Yes. I think it's worth for Spark to have it.
> Support a
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Robert Kruszewski commented on SPARK-20682:
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Awesome, didn't know that there are nohive
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Dongjoon Hyun updated SPARK-20682:
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Description:
Since SPARK-2883, Apache Spark supports Apache ORC inside `sql/hive` module
with
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Dongjoon Hyun edited comment on SPARK-20682 at 5/9/17 7:10 PM:
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I fixed the
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Dongjoon Hyun commented on SPARK-20682:
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Yep. That was a old huddle before 1.4.0. 1.4.0 provides
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Robert Kruszewski commented on SPARK-20682:
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Would it make sense to bring hive-storage-api to
Dongjoon Hyun created SPARK-20682:
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Summary: Support a new faster ORC data source based on Apache ORC
Key: SPARK-20682
URL: https://issues.apache.org/jira/browse/SPARK-20682
Project: Spark
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Esther Kundin edited comment on SPARK-18528 at 5/9/17 6:43 PM:
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I have just
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Reynold Xin edited comment on SPARK-12297 at 5/9/17 6:40 PM:
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I looked at the
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Reynold Xin edited comment on SPARK-12297 at 5/9/17 6:39 PM:
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I looked at the
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Reynold Xin commented on SPARK-12297:
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I looked at the issue again and reverted the patch. If we want
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Esther Kundin commented on SPARK-18528:
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I have just found the same bug with Spark 2.1, even though
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Reynold Xin updated SPARK-12297:
Fix Version/s: (was: 2.3.0)
> Add work-around for Parquet/Hive int96 timestamp bug.
>
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Reynold Xin reopened SPARK-12297:
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Assignee: (was: Imran Rashid)
> Add work-around for Parquet/Hive int96 timestamp bug.
>
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Reynold Xin edited comment on SPARK-12297 at 5/9/17 6:35 PM:
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Sorry I'm going
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holdenk resolved SPARK-20627.
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Resolution: Fixed
Fix Version/s: 2.1.2
2.3.0
2.2.1
Issue
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holdenk reassigned SPARK-20627:
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Assignee: holdenk
> Remove pip local version string (PEP440)
>
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Marcelo Vanzin updated SPARK-20666:
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Summary: Flaky test - SparkListenerBus randomly failing
java.lang.IllegalAccessError (was:
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Marcelo Vanzin commented on SPARK-20666:
I'm raising the severity because lots of PRs are failing
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Marcelo Vanzin updated SPARK-20666:
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Priority: Critical (was: Major)
> Flaky test - SparkListenerBus randomly failing
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Alexander Ulanov commented on SPARK-10408:
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Autoencoder is implemented in the referenced pull
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Josh Rosen commented on SPARK-14584:
[~hyukjin.kwon], yeah, this does appear to be fixed. My only
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Marcelo Vanzin commented on SPARK-20666:
[~cloud_fan] do you think your fix for SPARK-12837 could
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Marcelo Vanzin edited comment on SPARK-20666 at 5/9/17 4:52 PM:
This
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Xiao Li resolved SPARK-20674.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Support registering UserDefinedFunction as named UDF
>
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Marcelo Vanzin commented on SPARK-20666:
This doesn't fail just on Windows. It's been failing in
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Marcelo Vanzin edited comment on SPARK-20666 at 5/9/17 4:18 PM:
This
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Wenchen Fan resolved SPARK-20548.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Marcelo Vanzin commented on SPARK-20608:
bq. I think it is unreasonable that spark application
Xi Wang created SPARK-20681:
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Summary: DataFram.Drop doesn't take effective, neither does error
Key: SPARK-20681
URL: https://issues.apache.org/jira/browse/SPARK-20681
Project: Spark
Issue Type:
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Dmitry Naumenko commented on SPARK-13747:
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[~revolucion09] It's a bit an off-topic discussion. My
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Saif Addin commented on SPARK-13747:
[~dnaumenko]
Nonetheless, if I am not mistaken, there are proofs
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Thomas Graves resolved SPARK-20355.
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Resolution: Fixed
Assignee: Sanket Reddy
Fix Version/s: 2.3.0
> Display
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Rick Moritz updated SPARK-20489:
Summary: Different results in local mode and yarn mode when working with
dates (silent corruption
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Rick Moritz commented on SPARK-20489:
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Okay, I had a look at timezones, and it appears my Driver was
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Apache Spark reassigned SPARK-20591:
Assignee: (was: Apache Spark)
> Succeeded tasks num not equal in job page and job
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Apache Spark reassigned SPARK-20591:
Assignee: Apache Spark
> Succeeded tasks num not equal in job page and job detail page on
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Apache Spark commented on SPARK-20591:
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User 'fjh100456' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-13747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16002674#comment-16002674
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Dmitry Naumenko commented on SPARK-13747:
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[~zsxwing] I've tried to build a Spark from a branch
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Barry Becker commented on SPARK-20542:
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This is a great improvement, @viirya! According to your
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Wenchen Fan reassigned SPARK-20311:
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Assignee: Takeshi Yamamuro
> SQL "range(N) as alias" or "range(N) alias" doesn't work
>
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Wenchen Fan resolved SPARK-20311.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Barry Becker commented on SPARK-19581:
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I think its just a matter of sending a feature vector of
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https://issues.apache.org/jira/browse/SPARK-20667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-20667.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Apache Spark reassigned SPARK-20601:
Assignee: Apache Spark
> Python API Changes for Constrained Logistic Regression Params
>
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https://issues.apache.org/jira/browse/SPARK-20601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20601:
Assignee: (was: Apache Spark)
> Python API Changes for Constrained Logistic
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https://issues.apache.org/jira/browse/SPARK-20601?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16002493#comment-16002493
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Apache Spark commented on SPARK-20601:
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User 'zero323' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-2060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16002490#comment-16002490
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Apache Spark commented on SPARK-2060:
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User 'zero323' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20680?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lantao Jin updated SPARK-20680:
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Summary: Spark-sql do not support for void column datatype of view (was:
Spark-sql do not support
Lantao Jin created SPARK-20680:
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Summary: Spark-sql do not support for column datatype of void in a
HIVE view
Key: SPARK-20680
URL: https://issues.apache.org/jira/browse/SPARK-20680
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19364?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-19364:
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Priority: Major (was: Blocker)
I am lowering the priority to {{Major}} as higher priorities
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https://issues.apache.org/jira/browse/SPARK-20415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-20415:
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Priority: Major (was: Blocker)
I am lowering the priority to {{Major}} as higher priorities
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https://issues.apache.org/jira/browse/SPARK-19876?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16002393#comment-16002393
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Apache Spark commented on SPARK-19876:
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User 'srowen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16002378#comment-16002378
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Sean Owen commented on SPARK-20554:
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[~umesh9...@gmail.com] are you working on this?
> Remove usage of
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https://issues.apache.org/jira/browse/SPARK-20580?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-20580.
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Resolution: Not A Problem
Although map() wouldn't generally entail serializing anything, it could
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https://issues.apache.org/jira/browse/SPARK-20606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang resolved SPARK-20606.
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Resolution: Fixed
Fix Version/s: 2.2.0
> ML 2.2 QA: Remove deprecated methods for ML
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