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yuhao yang commented on SPARK-14503:
Link two related issue about adding "support" to
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Apache Spark commented on SPARK-16318:
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User 'petermaxlee' has created a pull reques
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Wenchen Fan resolved SPARK-16318.
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Resolution: Fixed
Fix Version/s: 2.1.0
> xpath_int, xpath_short, xpath_long, xpath_float,
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Wenchen Fan updated SPARK-16318:
Assignee: Peter Lee
> xpath_int, xpath_short, xpath_long, xpath_float, xpath_double, xpath_string,
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Apache Spark reassigned SPARK-16477:
Assignee: Apache Spark (was: Reynold Xin)
> Bump master version to 2.1.0-SNAPSHOT
> -
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Apache Spark reassigned SPARK-16477:
Assignee: Reynold Xin (was: Apache Spark)
> Bump master version to 2.1.0-SNAPSHOT
> -
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Apache Spark commented on SPARK-16477:
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User 'rxin' has created a pull request for t
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Reynold Xin updated SPARK-16477:
Description:
This should now be doable with SPARK-16476.
> Bump master version to 2.1.0-SNAPSHOT
Reynold Xin created SPARK-16477:
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Summary: Bump master version to 2.1.0-SNAPSHOT
Key: SPARK-16477
URL: https://issues.apache.org/jira/browse/SPARK-16477
Project: Spark
Issue Type: Task
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Reynold Xin resolved SPARK-16476.
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Resolution: Fixed
Assignee: Reynold Xin
Fix Version/s: 2.0.0
> Restructure MimaEx
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Narine Kokhlikyan edited comment on SPARK-16258 at 7/11/16 3:52 AM:
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Narine Kokhlikyan edited comment on SPARK-16258 at 7/11/16 3:53 AM:
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Narine Kokhlikyan commented on SPARK-16258:
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Thanks [~shivaram]!
I also vote fo
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Dongjoon Hyun commented on SPARK-16370:
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Current PR is not enough and it's not wort
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Dongjoon Hyun closed SPARK-16370.
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Resolution: Won't Fix
> Union queries should not be executed eagerly
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Dongjoon Hyun edited comment on SPARK-16475 at 7/11/16 3:04 AM:
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Apache Spark reassigned SPARK-16280:
Assignee: (was: Apache Spark)
> Implement histogram_numeric SQL function
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Apache Spark commented on SPARK-16280:
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User 'tilumi' has created a pull request for
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Apache Spark reassigned SPARK-16280:
Assignee: Apache Spark
> Implement histogram_numeric SQL function
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Dongjoon Hyun commented on SPARK-16467:
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Thank YOU for reporting!
> After importin
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Reynold Xin updated SPARK-16475:
Description:
Broadcast hint is a way for users to manually annotate a query and suggest to
the que
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Neil Dewar commented on SPARK-16467:
Thank you Sir - user error!
> After importing R
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Reynold Xin commented on SPARK-16283:
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[~thunterdb] can we use your implementation fo
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Neil Dewar commented on SPARK-16464:
Thank you Dongjoon,
Let me try to explain a litt
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Apache Spark reassigned SPARK-16476:
Assignee: Apache Spark
> Restructure MimaExcludes for easier union excludes
>
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Apache Spark commented on SPARK-16476:
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User 'rxin' has created a pull request for t
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Apache Spark reassigned SPARK-16476:
Assignee: (was: Apache Spark)
> Restructure MimaExcludes for easier union excludes
> -
Reynold Xin created SPARK-16476:
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Summary: Restructure MimaExcludes for easier version transition
Key: SPARK-16476
URL: https://issues.apache.org/jira/browse/SPARK-16476
Project: Spark
Issue Ty
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Reynold Xin updated SPARK-16476:
Summary: Restructure MimaExcludes for easier union excludes (was:
Restructure MimaExcludes for eas
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Dongjoon Hyun commented on SPARK-16475:
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Of course. It's not finished yet.
I'm work
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Reynold Xin resolved SPARK-15467.
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Resolution: Fixed
Assignee: Kazuaki Ishizaki
Fix Version/s: 2.1.0
> Getting stack
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Reynold Xin commented on SPARK-16475:
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BTW let's also make sure we finish the informa
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Dongjoon Hyun commented on SPARK-16475:
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Thank you for important issues! I'll start
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Reynold Xin commented on SPARK-16475:
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Yes - we would need to update the parser to su
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Dongjoon Hyun commented on SPARK-16475:
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Oh, Spark supports `Hint` really? Amazing.
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Dongjoon Hyun resolved SPARK-16467.
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Resolution: Not A Problem
> After importing R data.frame, although DataFrame columns show . r
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Reynold Xin commented on SPARK-16475:
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cc [~dongjoon] want to take this?
> Broadcas
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Reynold Xin updated SPARK-16475:
Attachment: BroadcastHintinSparkSQL.pdf
> Broadcast Hint for SQL Queries
>
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Dongjoon Hyun commented on SPARK-16467:
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Hi, you missed `"` in the last command. :)
Reynold Xin created SPARK-16475:
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Summary: Broadcast Hint for SQL Queries
Key: SPARK-16475
URL: https://issues.apache.org/jira/browse/SPARK-16475
Project: Spark
Issue Type: Improvement
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Dongjoon Hyun commented on SPARK-16466:
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I hope this example resolves your problem.
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Dongjoon Hyun commented on SPARK-16466:
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IMO, this is not a problem.
> names() fun
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Dongjoon Hyun commented on SPARK-16466:
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Here is the result of Spark 1.6.2.
https:
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Dongjoon Hyun commented on SPARK-16466:
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You can use like this. The following is th
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Dongjoon Hyun commented on SPARK-16464:
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Since 1.6.2 was released recently on 2016-
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Dongjoon Hyun commented on SPARK-16464:
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Yep. I checked that 1.6.2 still have the s
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Dongjoon Hyun commented on SPARK-16464:
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Other languages also give reasonable error
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Dongjoon Hyun commented on SPARK-16464:
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FYI, here is the result of current master.
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Dongjoon Hyun updated SPARK-16464:
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Comment: was deleted
(was: Hi, [~n...@dewar-us.com].
I agree with you. This seems an interestin
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Dongjoon Hyun updated SPARK-16464:
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Comment: was deleted
(was: Hmm, for current master branch, it seems to work reasonably.
{code}
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Dongjoon Hyun updated SPARK-16464:
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Comment: was deleted
(was: For PySpark,
{code}
>>> df = spark.range(10)
>>> df.withColumn("id",
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Dongjoon Hyun commented on SPARK-16464:
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For PySpark,
{code}
>>> df = spark.range(1
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Dongjoon Hyun commented on SPARK-16464:
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Hmm, for current master branch, it seems t
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Dongjoon Hyun commented on SPARK-16464:
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Hi, [~n...@dewar-us.com].
I agree with you
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Roberto Pagliari commented on SPARK-16465:
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yes, but it would be nice to do some
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Apache Spark commented on SPARK-15467:
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User 'kiszk' has created a pull request for
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Apache Spark reassigned SPARK-15467:
Assignee: (was: Apache Spark)
> Getting stack overflow when attempting to query a wide
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Apache Spark reassigned SPARK-15467:
Assignee: Apache Spark
> Getting stack overflow when attempting to query a wide Dataset (>
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Amit Sela closed SPARK-16474.
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Resolution: Not A Problem
It seems as if the right way to use the agg() API directly on Dataset/DataFrame
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Amit Sela commented on SPARK-16474:
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I thought the bufferEncoder is supposed to take ca
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Amit Sela commented on SPARK-16474:
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Thanks [~koert] that works.
> Global Aggregation
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Kazuaki Ishizaki commented on SPARK-15467:
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[Janino
3.0.0|https://mvnrepository
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koert kuipers commented on SPARK-16474:
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try ds.select(aggregator) instead of ds.ag
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Sean Owen commented on SPARK-16474:
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I am not sure that is expected to work. You have d
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Amit Sela edited comment on SPARK-15810 at 7/10/16 2:53 PM:
J
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Apache Spark commented on SPARK-15144:
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User 'lw-lin' has created a pull request for
Amit Sela created SPARK-16474:
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Summary: Global Aggregation doesn't seem to work at all
Key: SPARK-16474
URL: https://issues.apache.org/jira/browse/SPARK-16474
Project: Spark
Issue Type: Sub-tas
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Sean Owen updated SPARK-16469:
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Fix Version/s: (was: 2.0.0)
> Long running Driver task while multiplying big matrices
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Sean Owen resolved SPARK-16361.
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Resolution: Not A Problem
> It takes a long time for gc when building cube with many fields
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Sean Owen resolved SPARK-15937.
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Resolution: Not A Problem
Per JIRA discussion
> Spark declares a succeeding job to be failed in yarn
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Sean Owen updated SPARK-16470:
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Affects Version/s: (was: 2.0.1)
(was: 2.1.0)
2.0.0
Alok Bhandari created SPARK-16473:
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Summary: BisectingKMeans Algorithm failing with
java.util.NoSuchElementException: key not found
Key: SPARK-16473
URL: https://issues.apache.org/jira/browse/SPARK-16473
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Sean Owen commented on SPARK-16465:
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What are you referring to -- there has been a setN
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Amit Sela edited comment on SPARK-15810 at 7/10/16 9:01 AM:
R
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Amit Sela edited comment on SPARK-15810 at 7/10/16 8:59 AM:
R
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Amit Sela edited comment on SPARK-15810 at 7/10/16 8:59 AM:
R
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Amit Sela commented on SPARK-15810:
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Running the (sort of) same Java code:
{code}
S
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Amit Sela edited comment on SPARK-15810 at 7/10/16 8:28 AM:
J
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Amit Sela edited comment on SPARK-15810 at 7/10/16 8:28 AM:
J
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Amit Sela commented on SPARK-15810:
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Just ran this exact code, prefixed by:
{code}
val
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Apache Spark commented on SPARK-16472:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark reassigned SPARK-16472:
Assignee: (was: Apache Spark)
> Inconsistent nullability in schema after being read in
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Apache Spark reassigned SPARK-16472:
Assignee: Apache Spark
> Inconsistent nullability in schema after being read in SQL API.
>
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Hyukjin Kwon updated SPARK-16472:
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Description:
It seems the data sources implementing {{FileFormat}} seems loading the data by
for
Hyukjin Kwon created SPARK-16472:
Summary: Inconsistent nullability in schema after being read in
SQL API.
Key: SPARK-16472
URL: https://issues.apache.org/jira/browse/SPARK-16472
Project: Spark
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Hyukjin Kwon updated SPARK-16472:
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Priority: Minor (was: Major)
> Inconsistent nullability in schema after being read in SQL API.
>
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Cheng Lian edited comment on SPARK-16344 at 7/10/16 8:07 AM:
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Cheng Lian commented on SPARK-16344:
Thanks to [~rdblue]'s comment about why there're
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Apache Spark reassigned SPARK-16471:
Assignee: Apache Spark
> Remove Hive-specific CreateHiveTableAsSelectLogicalPlan
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Apache Spark commented on SPARK-16471:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-16471:
Assignee: (was: Apache Spark)
> Remove Hive-specific CreateHiveTableAsSelectLogicalPla
Xiao Li created SPARK-16471:
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Summary: Remove Hive-specific CreateHiveTableAsSelectLogicalPlan
Key: SPARK-16471
URL: https://issues.apache.org/jira/browse/SPARK-16471
Project: Spark
Issue Type: Imp
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