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Vinod KC commented on SPARK-10631:
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I'm working on this
> Add missing API doc in pyspar
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holdenk commented on SPARK-10630:
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Sounds good to me :) I'll give it a shot :)
> createD
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Xiangrui Meng resolved SPARK-10516.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8682
[https://gi
Xiangrui Meng created SPARK-10631:
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Summary: Add missing API doc in pyspark.mllib.linalg.Vector
Key: SPARK-10631
URL: https://issues.apache.org/jira/browse/SPARK-10631
Project: Spark
Issue Ty
Xiangrui Meng created SPARK-10630:
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Summary: createDataFrame from a Java List
Key: SPARK-10630
URL: https://issues.apache.org/jira/browse/SPARK-10630
Project: Spark
Issue Type: New Feature
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Yi Zhou edited comment on SPARK-10474 at 9/16/15 5:55 AM:
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BTW,
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Yi Zhou commented on SPARK-10474:
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BTW, the "spark.shuffle.safetyFraction" is not public
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Yi Zhou commented on SPARK-10474:
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Thanks [~chenghao]. It's better not to throw such exce
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Luvsandondov Lkhamsuren commented on SPARK-9963:
Implementing
{code:title
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Wenmin Wu updated SPARK-10629:
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Description:
First of all, I think my problem is quite different from
https://issues.apache.org/jira/b
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Xiangrui Meng resolved SPARK-10595.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8752
[https://gi
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Yin Huai updated SPARK-9078:
Assignee: Suresh Thalamati
> Use of non-standard LIMIT keyword in JDBC tableExists code
> --
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Yin Huai updated SPARK-9078:
Assignee: (was: Suresh Thalamati)
> Use of non-standard LIMIT keyword in JDBC tableExists code
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Yin Huai resolved SPARK-9078.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8676
[https://github.com/apac
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Reynold Xin updated SPARK-9078:
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Assignee: Suresh Thalamati
> Use of non-standard LIMIT keyword in JDBC tableExists code
>
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Apache Spark commented on SPARK-10577:
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User 'Jianfeng-chs' has created a pull reque
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Wenmin Wu updated SPARK-10629:
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Description:
First of all, I think my problem is quite different from
https://issues.apache.org/jira/b
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Wenmin Wu updated SPARK-10629:
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Description:
First of all, I think my problem is quite different from
https://issues.apache.org/jira/b
Wenmin Wu created SPARK-10629:
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Summary: Gradient boosted trees: mapPartitions input size
increasing
Key: SPARK-10629
URL: https://issues.apache.org/jira/browse/SPARK-10629
Project: Spark
Issue
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Andrew Or updated SPARK-8673:
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Assignee: Marcelo Vanzin
> Launcher: add support for monitoring launched applications
> --
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Apache Spark commented on SPARK-10584:
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User 'sarutak' has created a pull request fo
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Kousuke Saruta updated SPARK-10584:
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Description:
In Spark 1.5.0, Spark SQL is compatible with Hive 0.12.0 through 1.2.1 but the
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Kousuke Saruta updated SPARK-10584:
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Summary: Documentation about the compatible Hive version is wrong. (was:
Documentation about
holdenk created SPARK-10628:
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Summary: Add support for arbitrary RandomRDD generation to
PySparkAPI
Key: SPARK-10628
URL: https://issues.apache.org/jira/browse/SPARK-10628
Project: Spark
Issue Typ
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Cheng Hao commented on SPARK-4226:
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Thank you [~brooks], you're right! I meant it will ma
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Alexander Ulanov commented on SPARK-10627:
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Dropout WIP refactoring for the new
Alexander Ulanov created SPARK-10627:
Summary: Regularization for artificial neural networks
Key: SPARK-10627
URL: https://issues.apache.org/jira/browse/SPARK-10627
Project: Spark
Issue T
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Josh Rosen resolved SPARK-7192.
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Resolution: Not A Problem
I'm resolving as "Not a Problem." Please comment / re-open if you can explai
holdenk created SPARK-10626:
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Summary: Create a Java friendly method for randomRDD &
RandomDataGenerator on RandomRDDs.
Key: SPARK-10626
URL: https://issues.apache.org/jira/browse/SPARK-10626
Project: Spark
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Josh Rosen resolved SPARK-10381.
Resolution: Fixed
Fix Version/s: 1.5.1
1.6.0
Issue resolved by pull reque
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Josh Rosen commented on SPARK-8786:
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And to confirm, the case given above does work in 1
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Josh Rosen resolved SPARK-8786.
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Resolution: Fixed
Fix Version/s: 1.5.0
This should have been fixed in 1.5.0. I believe that it
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Andrew Or resolved SPARK-10624.
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Resolution: Fixed
Fix Version/s: 1.6.0
> TakeOrderedAndProjectNode output is not ordered
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Andrew Or resolved SPARK-10613.
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Resolution: Fixed
Fix Version/s: 1.6.0
> Reduce LocalNode tests dependency on SQLContext
> ---
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DB Tsai updated SPARK-9642:
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Shepherd: DB Tsai
> LinearRegression should supported weighted data
>
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Andrew Or resolved SPARK-10575.
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Resolution: Fixed
Fix Version/s: 1.6.0
> Wrap RDD.takeSample with scope
>
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Josh Rosen commented on SPARK-10504:
[~marmbrus], I just checked and this is fixed in
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Josh Rosen updated SPARK-10504:
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Affects Version/s: 1.4.1
> aggregate where NULL is defined as the value expression aborts when SUM us
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Josh Rosen updated SPARK-10503:
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Description:
Query an ORC table in Hive using the following SQL statement via the SPARKSQL
thrift-se
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DB Tsai updated SPARK-9642:
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Assignee: Meihua Wu
> LinearRegression should supported weighted data
> --
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Andrew Or resolved SPARK-10612.
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Resolution: Fixed
Fix Version/s: 1.6.0
> Add prepare to LocalNode
>
>
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Josh Rosen resolved SPARK-10508.
Resolution: Fixed
Fix Version/s: 1.4.1
1.5.0
> incorrect evaluation of se
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Josh Rosen commented on SPARK-10508:
I managed to reproduce this on 1.3.1 as well, us
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Andrew Or resolved SPARK-10548.
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Resolution: Fixed
Fix Version/s: 1.5.1
1.6.0
> Concurrent execution in SQL
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Andrew Or commented on SPARK-10563:
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NOTE: there's a subtle difference in behavior betw
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Andrew Or resolved SPARK-10563.
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Resolution: Fixed
Fix Version/s: 1.5.1
1.6.0
> SparkContext's local propert
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Josh Rosen updated SPARK-10508:
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Description:
The following case expression never evaluates to 'test1' when cdec is -1 or 10
as it wi
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Josh Rosen updated SPARK-10538:
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Target Version/s: 1.5.1
> java.lang.NegativeArraySizeException during join
>
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Josh Rosen resolved SPARK-10460.
Resolution: Cannot Reproduce
Row definitely has a fieldIndex method as of 1.4.1
(https://github.co
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Josh Rosen resolved SPARK-5919.
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Resolution: Fixed
This is now supported; ParquetRelation now implements proper statistics support.
>
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Josh Rosen resolved SPARK-6321.
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Resolution: Won't Fix
I'm going to resolve this specific issue as "Won't Fix." While we do plan to do
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Peng Cheng commented on SPARK-10625:
branch: https://github.com/Schedule1/spark/tree/
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Josh Rosen commented on SPARK-6715:
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Per discussion on the PR, I believe that this is "W
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Josh Rosen resolved SPARK-6102.
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Resolution: Done
The spark-redshift library did this:
https://github.com/databricks/spark-redshift
>
Peng Cheng created SPARK-10625:
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Summary: Spark SQL JDBC read/write is unable to handle JDBC
Drivers that adds unserializable objects into connection properties
Key: SPARK-10625
URL: https://issues.apache.org/jira/br
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Apache Spark commented on SPARK-10300:
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User 'vanzin' has created a pull request for
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Josh Rosen resolved SPARK-5624.
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Resolution: Fixed
Resolving as "Fixed" per claim that this works in a newer release.
> Can't find new
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Josh Rosen resolved SPARK-2337.
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Resolution: Won't Fix
Resolving as "Won't Fix" per PR discussion.
> String Interpolation for SparkSQL
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Apache Spark commented on SPARK-10624:
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User 'andrewor14' has created a pull request
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Josh Rosen resolved SPARK-4576.
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Resolution: Won't Fix
Going to resolve this as "Won't Fix" for now, since it seems like {{concat}}
ha
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Apache Spark reassigned SPARK-10624:
Assignee: Andrew Or (was: Apache Spark)
> TakeOrderedAndProjectNode output is not ordered
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Apache Spark reassigned SPARK-10624:
Assignee: Apache Spark (was: Andrew Or)
> TakeOrderedAndProjectNode output is not ordered
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Xiangrui Meng resolved SPARK-7685.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 7884
[https://githu
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Josh Rosen updated SPARK-4684:
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Component/s: Windows
> Add a script to run JDBC server on Windows
>
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Josh Rosen resolved SPARK-4450.
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Resolution: Cannot Reproduce
Resolving as "Cannot Reproduce" since this is targeted against an old Spa
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Josh Rosen updated SPARK-4450:
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Description:
A simple summary program using
spark-submit --master local MyJob.py
vs.
spark-submit -
Andrew Or created SPARK-10624:
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Summary: TakeOrderedAndProjectNode output is not ordered
Key: SPARK-10624
URL: https://issues.apache.org/jira/browse/SPARK-10624
Project: Spark
Issue Type: Bug
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Josh Rosen resolved SPARK-9033.
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Resolution: Fixed
Fix Version/s: 1.4.0
This should have been fixed for maps and arrays in SPARK
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Josh Rosen updated SPARK-9033:
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Description:
I've a java.util.Map field in a POJO class and I'm trying to
use it to createDataFrame (1.
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Josh Rosen resolved SPARK-7175.
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Resolution: Duplicate
We added support for connecting to Hive 1.1 in SPARK-8067
> Upgrade Hive to 1.1
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Patrick Wendell updated SPARK-6942:
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Assignee: Andrew Or (was: Patrick Wendell)
> Umbrella: UI Visualizations for Core and Datafra
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Josh Rosen commented on SPARK-6513:
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[~marmbrus], safe to say that this is "Won't Fix" g
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Josh Rosen resolved SPARK-9032.
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Resolution: Fixed
Fix Version/s: 1.4.1
Just confirmed that this is fixed in 1.4.1.
> scala.Mat
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Josh Rosen updated SPARK-9032:
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Description:
Executing read().json() of SQLContext e.g. DataFrameReader raises a MatchError
with a stac
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Josh Rosen resolved SPARK-9188.
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Resolution: Won't Fix
This has been proposed previously. I'm closing this issue as "Won't Fix"
becaus
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Michael Armbrust resolved SPARK-6632.
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Resolution: Fixed
Fix Version/s: 1.5.0
Starting with Spark 1.5 I believe all footer
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Eric Doi commented on SPARK-8152:
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Thanks. Will reopen if I'm able to reproduce in a clea
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Josh Rosen closed SPARK-2789.
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Resolution: Won't Fix
> Apply names to RDD to becoming SchemaRDD
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David Ross commented on SPARK-5391:
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Haven't tried native JSON but looks promising, so t
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Michael Armbrust resolved SPARK-5194.
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Resolution: Cannot Reproduce
Closing as cannot reproduce. Please reopen if you can on Spa
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Michael Armbrust resolved SPARK-5236.
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Resolution: Cannot Reproduce
Closing as cannot reproduce, please reopen if you can.
> jav
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Michael Armbrust resolved SPARK-5305.
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Resolution: Cannot Reproduce
Marking as cannot reproduce, please reopen if you can.
> Usi
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Michael Armbrust resolved SPARK-5302.
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Resolution: Fixed
Fix Version/s: 1.4.0
This is supported now.
> Add support for SQ
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Michael Armbrust resolved SPARK-5306.
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Resolution: Fixed
Fix Version/s: 1.3.0
We added {{Not}} in Spark 1.3.
> Support fo
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Michael Armbrust resolved SPARK-5314.
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Resolution: Fixed
Fix Version/s: 1.5.0
1.5 now uses sort based aggregation with spi
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https://issues.apache.org/jira/browse/SPARK-5391?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14746285#comment-14746285
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Michael Armbrust commented on SPARK-5391:
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Is this still a problem? Is there a re
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https://issues.apache.org/jira/browse/SPARK-5397?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5397.
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Resolution: Fixed
Fix Version/s: 1.5.0
Tested in 1.5 and this query now parses corr
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https://issues.apache.org/jira/browse/SPARK-5410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5410.
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Resolution: Fixed
I tested and in Spark 1.5 the HiveContext can parse {{2.2E10}}. HiveCon
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https://issues.apache.org/jira/browse/SPARK-5421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5421.
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Resolution: Fixed
Fix Version/s: 1.5.0
Spark 1.5 should have taken care of this. P
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https://issues.apache.org/jira/browse/SPARK-8165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14746269#comment-14746269
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Michael Armbrust commented on SPARK-8165:
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I'd suggest looking at
http://spark-pa
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https://issues.apache.org/jira/browse/SPARK-8109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-8109.
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Resolution: Fixed
I think [~andrewor14] has removed TestSQLContext so I'm closing this iss
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https://issues.apache.org/jira/browse/SPARK-8165?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-8165.
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Resolution: Not A Problem
This is perhaps confusing, but the issue here is that caching an
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https://issues.apache.org/jira/browse/SPARK-8152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-8152.
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Resolution: Cannot Reproduce
I can't reproduce this in Spark 1.5, but please reopen if you
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https://issues.apache.org/jira/browse/SPARK-4794?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4794.
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Resolution: Cannot Reproduce
I think we have fixed our resolution logic here, but please r
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https://issues.apache.org/jira/browse/SPARK-4838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4838.
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Resolution: Cannot Reproduce
I'm going to close this barring any new information on how to
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https://issues.apache.org/jira/browse/SPARK-4869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4869.
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Resolution: Cannot Reproduce
I can't reproduce this in Spark 1.5. Please reopen if you ca
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https://issues.apache.org/jira/browse/SPARK-4278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-4278.
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Resolution: Fixed
Assignee: Yin Huai
Fix Version/s: 1.5.0
In Spark 1.5, if the type of dat
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https://issues.apache.org/jira/browse/SPARK-5030?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5030.
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Resolution: Duplicate
> Approximated cardinality with HyperLogLog UDAF
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https://issues.apache.org/jira/browse/SPARK-5060?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5060.
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Resolution: Cannot Reproduce
This code has changed a lot in Spark 1.5, so I'm going to clo
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https://issues.apache.org/jira/browse/SPARK-5109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5109.
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Resolution: Fixed
Fix Version/s: 1.5.0
Methods for passing a list of files is now s
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