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Yin Huai resolved SPARK-14879.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12645
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Shixiong Zhu resolved SPARK-14833.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Refactor StreamTests to test for source
Ben McCann created SPARK-14882:
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Summary: Programming Guide Improvements
Key: SPARK-14882
URL: https://issues.apache.org/jira/browse/SPARK-14882
Project: Spark
Issue Type: Improvement
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Davies Liu updated SPARK-14838:
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Assignee: Liang-Chi Hsieh
> Implement statistics in SerializeFromObject to avoid failure when
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Davies Liu resolved SPARK-14838.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12599
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Liwei Lin updated SPARK-14874:
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Summary: Remove the obsolete Batch representation (was: Cleanup the
useless Batch class)
> Remove
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Yin Huai updated SPARK-14591:
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Description:
Since our parser defined based on antlr 4 can parse data type. We can remove
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Yin Huai updated SPARK-14591:
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Description:
Since our parser defined based on antlr 4 can parse data type (see
CatalystSqlParser), we
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Yin Huai updated SPARK-14591:
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Priority: Major (was: Blocker)
> Remove org.apache.spark.sql.catalyst.parser.DataTypeParser
>
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Yin Huai updated SPARK-14591:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-14776
> Remove
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Yin Huai updated SPARK-14591:
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Description:
Since our parser defined based on antlr 4 can parse data type. We can remove
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Yin Huai updated SPARK-14591:
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Summary: Remove org.apache.spark.sql.catalyst.parser.DataTypeParser (was:
DDLParser should accept
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Yin Huai updated SPARK-14591:
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Description:
Since our parser defined based on antlr 4 can parse data type. We will not need
to have
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Yin Huai updated SPARK-14591:
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Description:
Since our parser defined based on antlr 4 can parse data type. We will not need
to hav e
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Yin Huai updated SPARK-14591:
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Priority: Blocker (was: Major)
> DDLParser should accept decimal(precision)
>
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Yin Huai commented on SPARK-14591:
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[~hvanhovell] Where do we define those reserved keywords?
>
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Jimit Kamlesh Raithatha commented on SPARK-4298:
Brennon / Friends,
Any chance this issue
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Apache Spark reassigned SPARK-14881:
Assignee: Apache Spark
> pyspark and sparkR shell default log level should match
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Apache Spark commented on SPARK-14881:
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User 'felixcheung' has created a pull request for this
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Apache Spark reassigned SPARK-14881:
Assignee: (was: Apache Spark)
> pyspark and sparkR shell default log level should
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Felix Cheung updated SPARK-14881:
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Summary: pyspark and sparkR shell default log level should match
spark-shell/Scala (was:
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Felix Cheung updated SPARK-14881:
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Description:
Scala spark-shell defaults to log level WARN. pyspark and sparkR should match
that
Felix Cheung created SPARK-14881:
Summary: PySpark and sparkR shell default log level should match
spark-shell/Scala
Key: SPARK-14881
URL: https://issues.apache.org/jira/browse/SPARK-14881
Project:
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Roy Cecil commented on SPARK-13831:
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@Herman, thanks. I am validating the fix.
> TPC-DS Query 35 fails
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Apache Spark commented on SPARK-12148:
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User 'felixcheung' has created a pull request for this
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Ahmed Mahran updated SPARK-14880:
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Description:
The current implementation of (Stochastic) Gradient Descent performs one
Ahmed Mahran created SPARK-14880:
Summary: Parallel Gradient Descent with less map-reduce shuffle
overhead
Key: SPARK-14880
URL: https://issues.apache.org/jira/browse/SPARK-14880
Project: Spark
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Apache Spark reassigned SPARK-14878:
Assignee: Apache Spark
> Support Trim characters in the string trim function
>
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Apache Spark commented on SPARK-14878:
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User 'kevinyu98' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14878:
Assignee: (was: Apache Spark)
> Support Trim characters in the string trim function
>
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Yin Huai resolved SPARK-14877.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12644
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Apache Spark reassigned SPARK-14879:
Assignee: Yin Huai (was: Apache Spark)
> Move CreateMetastoreDataSource and
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Apache Spark reassigned SPARK-14879:
Assignee: Apache Spark (was: Yin Huai)
> Move CreateMetastoreDataSource and
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Apache Spark commented on SPARK-14879:
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User 'yhuai' has created a pull request for this issue:
Yin Huai created SPARK-14879:
Summary: Move CreateMetastoreDataSource and
CreateMetastoreDataSourceAsSelect to sql/core
Key: SPARK-14879
URL: https://issues.apache.org/jira/browse/SPARK-14879
Project:
kevin yu created SPARK-14878:
Summary: Support Trim characters in the string trim function
Key: SPARK-14878
URL: https://issues.apache.org/jira/browse/SPARK-14878
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-14877:
Assignee: Reynold Xin (was: Apache Spark)
> Remove HiveMetastoreTypes class
>
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Apache Spark commented on SPARK-14877:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14877:
Assignee: Apache Spark (was: Reynold Xin)
> Remove HiveMetastoreTypes class
>
Reynold Xin created SPARK-14877:
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Summary: Remove HiveMetastoreTypes class
Key: SPARK-14877
URL: https://issues.apache.org/jira/browse/SPARK-14877
Project: Spark
Issue Type: Sub-task
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Apache Spark reassigned SPARK-14876:
Assignee: Apache Spark (was: Reynold Xin)
> SparkSession should be case insensitive by
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Apache Spark commented on SPARK-14876:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14876:
Assignee: Reynold Xin (was: Apache Spark)
> SparkSession should be case insensitive by
Reynold Xin created SPARK-14876:
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Summary: SparkSession should be case insensitive by default
Key: SPARK-14876
URL: https://issues.apache.org/jira/browse/SPARK-14876
Project: Spark
Issue Type:
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Mattias Aspholm edited comment on SPARK-14846 at 4/23/16 8:23 PM:
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Yin Huai resolved SPARK-14865.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12633
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Mattias Aspholm commented on SPARK-14846:
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Yes, you're right of course. Sorry about that. I'm
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Reynold Xin commented on SPARK-14654:
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I see. The merge function isn't supposed to be called by the
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Reynold Xin resolved SPARK-14869.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Don't mask exceptions in ResolveRelations
>
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Yin Huai resolved SPARK-14872.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12636
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Yin Huai resolved SPARK-14871.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12635
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holdenk commented on SPARK-14654:
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So ACC isn't the internal buffer type, rather its the type of the
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Reynold Xin commented on SPARK-14654:
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No it can't be private spark because it needs to be
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holdenk commented on SPARK-14654:
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Since we're talking about average accumulators anyways - what would
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holdenk commented on SPARK-14654:
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If were only going to do Long and Double for the easy creation on the
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Dongjoon Hyun updated SPARK-14867:
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Priority: Major (was: Trivial)
Description:
Currently, `build/mvn` provides a
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Apache Spark reassigned SPARK-14729:
Assignee: Apache Spark
> Implement an existing cluster manager with New
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Apache Spark reassigned SPARK-14729:
Assignee: (was: Apache Spark)
> Implement an existing cluster manager with New
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Apache Spark commented on SPARK-14729:
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User 'hbhanawat' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-14694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15255036#comment-15255036
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zhangguancheng edited comment on SPARK-14694 at 4/23/16 6:50 PM:
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Content
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Shivaram Venkataraman updated SPARK-14594:
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Assignee: Felix Cheung
> Improve error messages for RDD API
>
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Shivaram Venkataraman resolved SPARK-14594.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Reynold Xin edited comment on SPARK-14654 at 4/23/16 6:01 PM:
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I don't get
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Reynold Xin edited comment on SPARK-14654 at 4/23/16 6:02 PM:
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I don't get
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Reynold Xin edited comment on SPARK-14654 at 4/23/16 5:54 PM:
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I don't get
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Reynold Xin commented on SPARK-14654:
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I don't get what you are trying to accomplish. It seems like
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Reynold Xin resolved SPARK-14873.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Java sampleByKey methods take ju.Map but with
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holdenk commented on SPARK-14654:
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You wouldn't know if you want a counter or overage, but the same
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Apache Spark reassigned SPARK-14850:
Assignee: Apache Spark
> VectorUDT/MatrixUDT should take primitive arrays without boxing
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Apache Spark commented on SPARK-14850:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14850:
Assignee: (was: Apache Spark)
> VectorUDT/MatrixUDT should take primitive arrays
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Peter Mountanos commented on SPARK-14864:
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[~prudenko] [~cqnguyen] I noticed previous discussion
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Apache Spark commented on SPARK-14856:
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User 'tedyu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-14875?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15255249#comment-15255249
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Cheng Lian commented on SPARK-14875:
Checked with [~cloud_fan], it was accidentally made private
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Cheng Lian commented on SPARK-14875:
[~marmbrus] Is there any reason why we made it private in Spark
Cheng Lian created SPARK-14875:
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Summary: OutputWriterFactory.newInstance shouldn't be private[sql]
Key: SPARK-14875
URL: https://issues.apache.org/jira/browse/SPARK-14875
Project: Spark
Issue
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Liwei Lin updated SPARK-14874:
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Summary: Cleanup the useless Batch class (was: Remove the useless Batch
class)
> Cleanup the useless
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Apache Spark reassigned SPARK-14874:
Assignee: Apache Spark
> Remove the useless Batch class
> --
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Apache Spark commented on SPARK-14874:
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User 'lw-lin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14874:
Assignee: (was: Apache Spark)
> Remove the useless Batch class
>
Liwei Lin created SPARK-14874:
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Summary: Remove the useless Batch class
Key: SPARK-14874
URL: https://issues.apache.org/jira/browse/SPARK-14874
Project: Spark
Issue Type: Improvement
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Sean Owen commented on SPARK-14846:
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No, that's not what methods like awaitNanos do in the JDK classes.
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Apache Spark reassigned SPARK-14873:
Assignee: Sean Owen (was: Apache Spark)
> Java sampleByKey methods take ju.Map but with
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Apache Spark commented on SPARK-14873:
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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-14873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14873:
Assignee: Apache Spark (was: Sean Owen)
> Java sampleByKey methods take ju.Map but with
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Sean Owen updated SPARK-14873:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-11806
> Java sampleByKey methods take ju.Map
Sean Owen created SPARK-14873:
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Summary: Java sampleByKey methods take ju.Map but with Scala
Double values; results in type Object
Key: SPARK-14873
URL: https://issues.apache.org/jira/browse/SPARK-14873
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Apache Spark reassigned SPARK-14872:
Assignee: Reynold Xin (was: Apache Spark)
> Restructure commands.scala
>
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https://issues.apache.org/jira/browse/SPARK-14872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15255194#comment-15255194
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Apache Spark commented on SPARK-14872:
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User 'rxin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-14872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14872:
Assignee: Apache Spark (was: Reynold Xin)
> Restructure commands.scala
>
Reynold Xin created SPARK-14872:
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Summary: Restructure commands.scala
Key: SPARK-14872
URL: https://issues.apache.org/jira/browse/SPARK-14872
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-14871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14871:
Assignee: Apache Spark (was: Reynold Xin)
> Disable StatsReportListener to declutter
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https://issues.apache.org/jira/browse/SPARK-14871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14871:
Assignee: Reynold Xin (was: Apache Spark)
> Disable StatsReportListener to declutter
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https://issues.apache.org/jira/browse/SPARK-14871?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15255187#comment-15255187
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Apache Spark commented on SPARK-14871:
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User 'rxin' has created a pull request for this issue:
Reynold Xin created SPARK-14871:
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Summary: Disable StatsReportListener to declutter output
Key: SPARK-14871
URL: https://issues.apache.org/jira/browse/SPARK-14871
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-14594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15255186#comment-15255186
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Marco Gaido commented on SPARK-14594:
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Yes, I do believe that this is what is happening
> Improve
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https://issues.apache.org/jira/browse/SPARK-12148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-12148.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 2.0.0
> SparkR: rename
Davies Liu created SPARK-14870:
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Summary: NPE in generate aggregate
Key: SPARK-14870
URL: https://issues.apache.org/jira/browse/SPARK-14870
Project: Spark
Issue Type: Bug
Components:
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https://issues.apache.org/jira/browse/SPARK-14869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14869:
Assignee: Apache Spark (was: Reynold Xin)
> Don't mask exceptions in ResolveRelations
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https://issues.apache.org/jira/browse/SPARK-14869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14869:
Assignee: Reynold Xin (was: Apache Spark)
> Don't mask exceptions in ResolveRelations
>
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