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Reynold Xin commented on SPARK-16588:
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Yes we should deprecate the monotonicallyIncre
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Reynold Xin commented on SPARK-16452:
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Go ahead. Thanks.
> basic INFORMATION_SCHEMA
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Dongjoon Hyun commented on SPARK-16452:
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Oh, may I close SPARK-16492 as INVALID or
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Reynold Xin resolved SPARK-16584.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Move regexp unit tests t
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Reynold Xin commented on SPARK-16452:
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It is OK for temporary views that are defined
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Joseph K. Bradley commented on SPARK-15124:
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OK thanks!
> R 2.0 QA: New R APIs
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Reynold Xin updated SPARK-15232:
Assignee: (was: Herman van Hovell)
> Add subquery SQL building tests to LogicalPlanToSQLSuite
>
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Reynold Xin updated SPARK-16590:
Assignee: Dongjoon Hyun
> Improve LogicalPlanToSQLSuite to check generated SQL directly
> -
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Reynold Xin updated SPARK-16590:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-16576
> Improve LogicalPlanToSQLSuit
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Dongjoon Hyun commented on SPARK-16590:
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[~rxin]
I think we had better have stronge
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Apache Spark reassigned SPARK-16590:
Assignee: Apache Spark
> Improve LogicalPlanToSQLSuite to check generated SQL directly
> -
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Dongjoon Hyun updated SPARK-16590:
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Component/s: Tests
> Improve LogicalPlanToSQLSuite to check generated SQL directly
> --
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Apache Spark reassigned SPARK-16590:
Assignee: (was: Apache Spark)
> Improve LogicalPlanToSQLSuite to check generated SQL d
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Apache Spark commented on SPARK-16590:
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User 'dongjoon-hyun' has created a pull requ
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Dongjoon Hyun updated SPARK-16590:
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Description:
This issue improves `LogicalPlanToSQLSuite` to check the generated SQL directly
b
Dongjoon Hyun created SPARK-16590:
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Summary: Improve LogicalPlanToSQLSuite to check generated SQL
directly
Key: SPARK-16590
URL: https://issues.apache.org/jira/browse/SPARK-16590
Project: Spark
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Shivaram Venkataraman reassigned SPARK-16507:
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Assignee: Shivaram Venkataraman (was: Apache Spark)
> Add CRAN checks t
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Shivaram Venkataraman resolved SPARK-16507.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue
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Shivaram Venkataraman resolved SPARK-16112.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue
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Shivaram Venkataraman updated SPARK-16112:
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Assignee: Narine Kokhlikyan
> R programming guide update for gapply and gapplyC
Maciej Szymkiewicz created SPARK-16589:
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Summary: Chained cartesian produces incorrect number of records
Key: SPARK-16589
URL: https://issues.apache.org/jira/browse/SPARK-16589
Project: Spark
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Reynold Xin resolved SPARK-16582.
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Resolution: Fixed
Assignee: Sameer Agarwal
Fix Version/s: 2.0.1
> Explicitly defi
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Reynold Xin updated SPARK-16582:
Fix Version/s: 2.1.0
> Explicitly define isNull = false for non-nullable expressions
>
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Peter Liu updated SPARK-16332:
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Attachment: graycol.gif
Hi Sean,
I have a general question:
Is there a limit for reporting issues?
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Shea Parkes commented on SPARK-12261:
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I believe I'm hitting the same bug. I'm also
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Apache Spark commented on SPARK-16490:
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User 'rubenjanssen' has created a pull reque
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Apache Spark reassigned SPARK-16490:
Assignee: Apache Spark
> Python mllib example for chi-squared feature selector
> -
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Apache Spark reassigned SPARK-16490:
Assignee: (was: Apache Spark)
> Python mllib example for chi-squared feature selector
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Hyukjin Kwon commented on SPARK-16588:
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[~rxin] Should we deprecate or remove this f
Hyukjin Kwon created SPARK-16588:
Summary: Missed API fix for a function name mismatched between
FunctionRegistry and functions.scala
Key: SPARK-16588
URL: https://issues.apache.org/jira/browse/SPARK-16588
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Michał Wesołowski edited comment on SPARK-5484 at 7/16/16 9:34 AM:
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Michał Wesołowski edited comment on SPARK-5484 at 7/16/16 9:33 AM:
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Michał Wesołowski commented on SPARK-5484:
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[~ankurd] do you plan to prepare anot
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Apache Spark reassigned SPARK-16587:
Assignee: Apache Spark
> The annotation for the abstract Class 'BlockTransferMessage' miss
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Apache Spark reassigned SPARK-16587:
Assignee: (was: Apache Spark)
> The annotation for the abstract Class 'BlockTransferMe
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Apache Spark commented on SPARK-16587:
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User 'f7753' has created a pull request for
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Xiang Gao updated SPARK-16586:
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Description:
When trying to run spark on a machine that cannot provide enough memory for
java to use,
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Xiang Gao updated SPARK-16586:
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Description:
When trying to run spark on a machine that cannot provide enough memory for
java to use,
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Apache Spark reassigned SPARK-16586:
Assignee: (was: Apache Spark)
> spark-class crash with "[: too many arguments" instead
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Apache Spark reassigned SPARK-16586:
Assignee: Apache Spark
> spark-class crash with "[: too many arguments" instead of display
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Apache Spark commented on SPARK-16586:
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User 'zasdfgbnm' has created a pull request
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Sean Owen updated SPARK-16586:
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Priority: Minor (was: Major)
Can you give an example?
> spark-class crash with "[: too many argument
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Sean Owen updated SPARK-16587:
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Priority: Trivial (was: Major)
OK, open a pull request
> The annotation for the abstract Class 'Block
Biao Ma created SPARK-16587:
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Summary: The annotation for the abstract Class
'BlockTransferMessage' missing several kind of messages.
Key: SPARK-16587
URL: https://issues.apache.org/jira/browse/SPARK-16587
Xiang Gao created SPARK-16586:
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Summary: spark-class crash with "[: too many arguments" instead of
displaying the correct error message
Key: SPARK-16586
URL: https://issues.apache.org/jira/browse/SPARK-16586
Naveen Kumar created SPARK-16585:
Summary: Update inner fields of complex types in dataframes
Key: SPARK-16585
URL: https://issues.apache.org/jira/browse/SPARK-16585
Project: Spark
Issue Type
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Sean Owen commented on SPARK-16574:
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You can guarantee it with a partitioner. Beyond th
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