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Josh Rosen reassigned SPARK-7660:
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Assignee: Josh Rosen
> Snappy-java buffer-sharing bug leads to data corruption / test failures
>
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Apache Spark reassigned SPARK-7660:
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Assignee: Apache Spark
> Snappy-java buffer-sharing bug leads to data corruption / test failu
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Apache Spark commented on SPARK-7660:
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User 'JoshRosen' has created a pull request for
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Apache Spark reassigned SPARK-7660:
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Assignee: (was: Apache Spark)
> Snappy-java buffer-sharing bug leads to data corruption /
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https://issues.apache.org/jira/browse/SPARK-2344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14545027#comment-14545027
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Alex commented on SPARK-2344:
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Hi,
How are you? I have couple of questions:
1) When are you
Murtaza Kanchwala created SPARK-7661:
Summary: Support for dynamic allocation of executors in Kinesis
Spark Streaming
Key: SPARK-7661
URL: https://issues.apache.org/jira/browse/SPARK-7661
Project:
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Apache Spark commented on SPARK-7654:
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User 'rxin' has created a pull request for this
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Apache Spark reassigned SPARK-7654:
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Assignee: Reynold Xin (was: Apache Spark)
> DataFrameReader and DataFrameWriter for input/ou
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Apache Spark reassigned SPARK-7654:
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Assignee: Apache Spark (was: Reynold Xin)
> DataFrameReader and DataFrameWriter for input/ou
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Reynold Xin updated SPARK-7654:
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Description:
We have a proliferation of save options now. It'd make more sense to have a
builder patt
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Reynold Xin updated SPARK-7654:
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Summary: DataFrameReader and DataFrameWriter for input/output API (was:
Create builder pattern for Da
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Josh Rosen commented on SPARK-7660:
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If we're wary of upgrading to a new Snappy version
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Josh Rosen commented on SPARK-4105:
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I've opened SPARK-7660 to track progress on the fix
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Josh Rosen commented on SPARK-7660:
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I pushed
https://github.com/apache/spark/commit/7d
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Josh Rosen updated SPARK-7660:
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Description:
snappy-java contains a bug that can lead to situations where separate
SnappyOutputStream i
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Josh Rosen commented on SPARK-7660:
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Note that this affects more than just Spark 1.4.0;
Josh Rosen created SPARK-7660:
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Summary: Snappy-java buffer-sharing bug leads to data corruption /
test failures
Key: SPARK-7660
URL: https://issues.apache.org/jira/browse/SPARK-7660
Project: Spark
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Apache Spark commented on SPARK-7269:
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User 'cloud-fan' has created a pull request for
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Davies Liu commented on SPARK-7624:
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In the context of Spark Streaming, there could be s
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Apache Spark reassigned SPARK-7624:
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Assignee: Davies Liu (was: Apache Spark)
> Task scheduler delay is increasing time over time
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Apache Spark commented on SPARK-7624:
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User 'davies' has created a pull request for th
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Apache Spark reassigned SPARK-7624:
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Assignee: Apache Spark (was: Davies Liu)
> Task scheduler delay is increasing time over time
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Josh Rosen commented on SPARK-7080:
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[~marmbrus], what do you think about adding a testi
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Josh Rosen updated SPARK-7077:
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Comment: was deleted
(was: [~marmbrus], what do you think about adding a testing suite for this
operato
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Josh Rosen commented on SPARK-7077:
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[~marmbrus], what do you think about adding a testi
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Davies Liu commented on SPARK-7624:
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This is introduced by https://github.com/apache/spa
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Shivaram Venkataraman updated SPARK-7226:
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Assignee: Qian Huang
> Support math functions in R DataFrame
> ---
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Meethu Mathew commented on SPARK-7651:
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Ok thank you
> PySpark GMM predict, predictS
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Meethu Mathew commented on SPARK-7651:
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Ok thank you
> PySpark GMM predict, predictS
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Joseph K. Bradley commented on SPARK-7651:
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Please base your PR on master. I can
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Davies Liu reassigned SPARK-7624:
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Assignee: Davies Liu
> Task scheduler delay is increasing time over time in spark local mode
> --
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Joseph K. Bradley updated SPARK-3147:
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Target Version/s: 1.5.0 (was: 1.4.0)
> Implement A/B testing
> -
>
>
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Meethu Mathew commented on SPARK-7651:
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Could you please tell me where I should make
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Joseph K. Bradley commented on SPARK-3147:
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Thanks for pointing this out. [~flia
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Joseph K. Bradley commented on SPARK-7651:
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Great, thank you!
> PySpark GMM pred
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Apache Spark commented on SPARK-7472:
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User 'andrewor14' has created a pull request fo
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Apache Spark reassigned SPARK-7472:
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Assignee: Apache Spark (was: Andrew Or)
> DAG visualization: handle skipped stages different
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Apache Spark reassigned SPARK-7472:
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Assignee: Andrew Or (was: Apache Spark)
> DAG visualization: handle skipped stages different
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Apache Spark commented on SPARK-7627:
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User 'andrewor14' has created a pull request fo
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Meethu Mathew commented on SPARK-7651:
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[~josephkb] Yea, I wil fix it asap.
> PySpar
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Andrew Or closed SPARK-7627.
Resolution: Fixed
Fix Version/s: 1.4.0
> DAG visualization: cached RDDs not shown on job page
> -
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Andrew Or updated SPARK-7628:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-7463
> DAG visualization: position graphs with sema
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Andrew Or reopened SPARK-7627:
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> DAG visualization: cached RDDs not shown on job page
> ---
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Andrew Or updated SPARK-7627:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-7463
> DAG visualization: cached RDDs not shown on
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Andrew Or closed SPARK-7500.
Resolution: Fixed
Fix Version/s: 1.4.0
> DAG visualization: cluster name bleeds beyond the cluster
>
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Apache Spark reassigned SPARK-7226:
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Assignee: Apache Spark
> Support math functions in R DataFrame
>
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Apache Spark commented on SPARK-7226:
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User 'hqzizania' has created a pull request for
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Apache Spark reassigned SPARK-7226:
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Assignee: (was: Apache Spark)
> Support math functions in R DataFrame
> -
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Reynold Xin resolved SPARK-7098.
Resolution: Fixed
Fix Version/s: 1.4.0
> Inconsistent Timestamp behavior when used in WHERE c
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Apache Spark reassigned SPARK-7659:
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Assignee: (was: Apache Spark)
> Sort by attributes that are not present in the SELECT cla
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Apache Spark commented on SPARK-7659:
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User 'scwf' has created a pull request for this
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Apache Spark reassigned SPARK-7659:
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Assignee: Apache Spark
> Sort by attributes that are not present in the SELECT clause when th
Fei Wang created SPARK-7659:
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Summary: Sort by attributes that are not present in the SELECT
clause when there is windowfunction analysis error
Key: SPARK-7659
URL: https://issues.apache.org/jira/browse/SPARK-7659
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Jack Hu updated SPARK-7624:
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Description:
I am running a simple spark streaming program with spark 1.3.1 in local mode,
it receives json s
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Jack Hu updated SPARK-7624:
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Description:
I am running a simple spark streaming program with spark 1.3.1 in local mode,
it receives json s
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Apache Spark reassigned SPARK-7658:
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Assignee: (was: Apache Spark)
> Update the mouse behaviors for the timeline graphs
>
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Apache Spark commented on SPARK-7658:
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User 'zsxwing' has created a pull request for t
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Apache Spark reassigned SPARK-7658:
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Assignee: Apache Spark
> Update the mouse behaviors for the timeline graphs
> ---
Shixiong Zhu created SPARK-7658:
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Summary: Update the mouse behaviors for the timeline graphs
Key: SPARK-7658
URL: https://issues.apache.org/jira/browse/SPARK-7658
Project: Spark
Issue Type: Im
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Michael Armbrust resolved SPARK-7548.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6107
[https:/
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Apache Spark reassigned SPARK-6906:
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Assignee: Michael Armbrust (was: Apache Spark)
> Refactor Connection to Hive Metastore
> ---
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Apache Spark commented on SPARK-6906:
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User 'marmbrus' has created a pull request for
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Apache Spark reassigned SPARK-6906:
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Assignee: Apache Spark (was: Michael Armbrust)
> Refactor Connection to Hive Metastore
> ---
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Apache Spark reassigned SPARK-7657:
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Assignee: Apache Spark
> [YARN] Show driver link in Spark UI
> --
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Apache Spark reassigned SPARK-7657:
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Assignee: (was: Apache Spark)
> [YARN] Show driver link in Spark UI
> ---
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Apache Spark commented on SPARK-7657:
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User 'harishreedharan' has created a pull reque
Hari Shreedharan created SPARK-7657:
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Summary: [YARN] Show driver link in Spark UI
Key: SPARK-7657
URL: https://issues.apache.org/jira/browse/SPARK-7657
Project: Spark
Issue Type: Bug
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Tao Wang closed SPARK-4669.
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Resolution: Won't Fix
Per Prashant's comments in https://github.com/apache/spark/pull/3551, I closed
this.
>
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Apache Spark reassigned SPARK-6743:
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Assignee: (was: Apache Spark)
> Join with empty projection on one side produces invalid r
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Apache Spark reassigned SPARK-6743:
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Assignee: Apache Spark
> Join with empty projection on one side produces invalid results
> --
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Apache Spark commented on SPARK-6743:
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User 'marmbrus' has created a pull request for
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Michael Armbrust commented on SPARK-6743:
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Thanks for narrowing this down. I've o
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Apache Spark reassigned SPARK-7656:
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Assignee: Apache Spark
> use CatalystConf in FunctionRegistry
> -
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Apache Spark commented on SPARK-7656:
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User 'scwf' has created a pull request for this
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Apache Spark reassigned SPARK-7656:
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Assignee: (was: Apache Spark)
> use CatalystConf in FunctionRegistry
> --
Fei Wang created SPARK-7656:
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Summary: use CatalystConf in FunctionRegistry
Key: SPARK-7656
URL: https://issues.apache.org/jira/browse/SPARK-7656
Project: Spark
Issue Type: Improvement
Co
Yin Huai created SPARK-7655:
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Summary: Akka timeout exception
Key: SPARK-7655
URL: https://issues.apache.org/jira/browse/SPARK-7655
Project: Spark
Issue Type: Bug
Components: Spark Core
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Xiangrui Meng resolved SPARK-7619.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6161
[https://githu
Reynold Xin created SPARK-7654:
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Summary: Create builder pattern for DataFrame.save
Key: SPARK-7654
URL: https://issues.apache.org/jira/browse/SPARK-7654
Project: Spark
Issue Type: Sub-task
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Xiangrui Meng updated SPARK-7648:
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Comment: was deleted
(was: User 'mengxr' has created a pull request for this issue:
https://github
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Apache Spark reassigned SPARK-7647:
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Assignee: Apache Spark
> Additional methods in GLM JavaModel wrappers
> -
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Xiangrui Meng closed SPARK-7647.
Resolution: Fixed
Fix Version/s: 1.4.0
Assignee: Xiangrui Meng
https://github.com/ap
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Apache Spark commented on SPARK-7647:
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User 'mengxr' has created a pull request for th
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Apache Spark reassigned SPARK-7647:
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Assignee: (was: Apache Spark)
> Additional methods in GLM JavaModel wrappers
> --
Joseph K. Bradley created SPARK-7653:
Summary: ML Pipeline and meta-algs should take random seed param
Key: SPARK-7653
URL: https://issues.apache.org/jira/browse/SPARK-7653
Project: Spark
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Tathagata Das commented on SPARK-3147:
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Is this going to make it to 1.4.0? If not cou
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https://issues.apache.org/jira/browse/SPARK-7612?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14544661#comment-14544661
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Xiangrui Meng commented on SPARK-7612:
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FYI, saw ~4x speedup with this change in perf
Xiangrui Meng created SPARK-7652:
Summary: Performance regression in naive Bayes prediction
Key: SPARK-7652
URL: https://issues.apache.org/jira/browse/SPARK-7652
Project: Spark
Issue Type: Bu
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https://issues.apache.org/jira/browse/SPARK-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14544652#comment-14544652
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Davies Liu commented on SPARK-6289:
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[~mnazario] datetime is a subclass of date, so a da
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Davies Liu updated SPARK-6289:
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Description:
For the DateType, Spark SQL requires a datetime.date in Python. However, if you
collect a
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https://issues.apache.org/jira/browse/SPARK-7643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-7643.
Resolution: Fixed
Fix Version/s: 1.4.0
> Number of executors and partitions are displayed wrongly in
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https://issues.apache.org/jira/browse/SPARK-7645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-7645.
Resolution: Fixed
Fix Version/s: 1.4.0
Assignee: Shixiong Zhu
> Show milliseconds in the UI
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https://issues.apache.org/jira/browse/SPARK-7649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-7649.
Resolution: Fixed
Fix Version/s: 1.4.0
Assignee: Shixiong Zhu
> Use window.localStorage to s
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https://issues.apache.org/jira/browse/SPARK-7598?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-7598.
Resolution: Fixed
Fix Version/s: 1.4.0
Target Version/s: 1.4.0
> Add aliveWorkers metrics i
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https://issues.apache.org/jira/browse/SPARK-6917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6917:
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Assignee: Davies Liu
> Broken data returned to PySpark dataframe if any large numbers used in Scal
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Joseph K. Bradley updated SPARK-7651:
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Priority: Minor (was: Major)
> PySpark GMM predict, predictSoft should fail on bad input
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Joseph K. Bradley commented on SPARK-7651:
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Ping [~MeethuMathew]: Could you pleas
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https://issues.apache.org/jira/browse/SPARK-1529?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14544563#comment-14544563
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Kannan Rajah commented on SPARK-1529:
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Just wanted to check if folks got a chance to r
Joseph K. Bradley created SPARK-7651:
Summary: PySpark GMM predict, predictSoft should fail on bad input
Key: SPARK-7651
URL: https://issues.apache.org/jira/browse/SPARK-7651
Project: Spark
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Apache Spark commented on SPARK-7619:
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User 'mengxr' has created a pull request for th
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