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Sean Owen updated SPARK-9092:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> Make --num-executors compatible
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Sean Owen commented on SPARK-6442:
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[~mengxr] for Commons Math, and point #2: actually th
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Shivaram Venkataraman resolved SPARK-8807.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 735
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Shivaram Venkataraman updated SPARK-8807:
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Assignee: Liang-Chi Hsieh
> Add between operator in SparkR
> -
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Yin Huai resolved SPARK-8972.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7343
[https://github.com/apac
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Yin Huai updated SPARK-8972:
Assignee: Cheng Hao
> Incorrect result for rollup
> ---
>
> Key: SPA
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Rahul Palamuttam edited comment on SPARK-6442 at 7/16/15 5:46 AM:
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Rahul Palamuttam edited comment on SPARK-6442 at 7/16/15 5:43 AM:
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Rahul Palamuttam edited comment on SPARK-6442 at 7/16/15 5:33 AM:
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Rahul Palamuttam commented on SPARK-6442:
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I think instead of breeze, nd4j from de
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Reynold Xin resolved SPARK-9061.
Resolution: Fixed
Assignee: Wenchen Fan
Fix Version/s: 1.5.0
> Fix and re-enable ign
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Reynold Xin resolved SPARK-9068.
Resolution: Fixed
Assignee: Wenchen Fan
Fix Version/s: 1.5.0
> refactor the implicit
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Reynold Xin updated SPARK-9068:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-8947
> refactor the implicit type cast
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Xiangrui Meng commented on SPARK-6442:
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If there existed some linear algebra library
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Reynold Xin resolved SPARK-8245.
Resolution: Fixed
Fix Version/s: 1.5.0
> string function: format_number
> ---
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Yin Huai resolved SPARK-8800.
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Resolution: Invalid
https://github.com/apache/spark/pull/7212 has been reverted by
https://github.com/apa
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Yin Huai reopened SPARK-8800:
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> Spark SQL Decimal Division operation loss of precision/scale when type is
> defined as DecimalType.Unlimite
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Yin Huai resolved SPARK-8677.
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Resolution: Invalid
https://github.com/apache/spark/pull/7056 has been reverted by
https://github.com/apa
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Yin Huai reopened SPARK-8677:
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> Decimal divide operation throws ArithmeticException
> ---
>
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Xiangrui Meng updated SPARK-9018:
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Summary: Implement a generic Stopwatch utility for ML algorithms (was:
Implement a generic Timer
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Yin Huai commented on SPARK-8359:
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https://github.com/apache/spark/pull/6814 has been reve
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Yin Huai reopened SPARK-8359:
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Assignee: (was: Liang-Chi Hsieh)
> Spark SQL Decimal type precision loss on multiplication
> ---
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Yin Huai resolved SPARK-9060.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7426
[https://github.com/apac
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Yin Huai updated SPARK-8359:
Fix Version/s: (was: 1.5.0)
> Spark SQL Decimal type precision loss on multiplication
>
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Xiangrui Meng resolved SPARK-9018.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7415
[https://githu
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Xiangrui Meng updated SPARK-7751:
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Description:
This is useful to check whether a feature exists in some version of Spark. This
is a
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Davies Liu updated SPARK-6573:
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Assignee: (was: Davies Liu)
> Convert inbound NaN values as null
> -
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Davies Liu resolved SPARK-9051.
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Resolution: Not A Problem
> SortMergeCompatibilitySuite is flaky
> --
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Davies Liu commented on SPARK-9051:
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So, let's close this.
> SortMergeCompatibilitySuit
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Apache Spark commented on SPARK-9022:
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User 'davies' has created a pull request for th
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Xiangrui Meng resolved SPARK-8774.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7381
[https://githu
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Wenjie Zhang commented on SPARK-9044:
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Based on what you have said, you might want to
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Zhang, Liye commented on SPARK-9044:
It doesn't matter where *RDDInfo* belongs to whic
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Wenchen Fan commented on SPARK-9082:
Will fix it soon.
> Filter using non-determinist
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Cheng Hao commented on SPARK-8230:
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[~pedrorodriguez], actually [~TarekAuel] set a good e
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Adrian Wang commented on SPARK-9051:
Just find that Michael has revert it and SPARK-69
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Lianhui Wang updated SPARK-8646:
Comment: was deleted
(was: yes, when we set master=yarn-client on pyspark/SparkContext.py, it do not
Niranjan Padmanabhan created SPARK-9092:
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Summary: Make --num-executors compatible with dynamic allocation
Key: SPARK-9092
URL: https://issues.apache.org/jira/browse/SPARK-9092
Project: Spark
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Adrian Wang commented on SPARK-9051:
This might have something to do with SPARK-9027 ,
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Lianhui Wang commented on SPARK-8646:
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yes, when we set master=yarn-client on pyspark/
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Pedro Rodriguez commented on SPARK-8230:
Moving to here instead of mailing list.
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SaintBacchus updated SPARK-9091:
Description: Add description later.
> Add the codec interface to DStream.
>
SaintBacchus created SPARK-9091:
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Summary: Add the codec interface to DStream.
Key: SPARK-9091
URL: https://issues.apache.org/jira/browse/SPARK-9091
Project: Spark
Issue Type: Bug
Com
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Apache Spark reassigned SPARK-8925:
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Assignee: (was: Apache Spark)
> Add @since tags to mllib.util
> -
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Apache Spark reassigned SPARK-8925:
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Assignee: Apache Spark
> Add @since tags to mllib.util
> -
>
>
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Apache Spark commented on SPARK-8925:
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User 'sthota2014' has created a pull request fo
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Apache Spark reassigned SPARK-9090:
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Assignee: (was: Apache Spark)
> Fix definition of residual in LinearRegressionSummary
> -
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Apache Spark reassigned SPARK-9090:
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Assignee: Apache Spark
> Fix definition of residual in LinearRegressionSummary
>
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Apache Spark commented on SPARK-9090:
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User 'feynmanliang' has created a pull request
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Reynold Xin resolved SPARK-6602.
Resolution: Fixed
> Replace direct use of Akka with Spark RPC interface
> --
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Shixiong Zhu commented on SPARK-6602:
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Sure. I think it's done.
> Replace direct use
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Feynman Liang commented on SPARK-9090:
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Working on this.
> Fix definition of residua
Feynman Liang created SPARK-9090:
Summary: Fix definition of residual in LinearRegressionSummary
Key: SPARK-9090
URL: https://issues.apache.org/jira/browse/SPARK-9090
Project: Spark
Issue Typ
Amar Goradia created SPARK-9089:
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Summary: Failing to run simple job on Spark Standalone Cluster
Key: SPARK-9089
URL: https://issues.apache.org/jira/browse/SPARK-9089
Project: Spark
Issue Type:
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Doug Balog resolved SPARK-9088.
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Resolution: Duplicate
> spark-class should ignore driver-memory when running in YARN cluster mode.
> -
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Reynold Xin resolved SPARK-9086.
Resolution: Fixed
Fix Version/s: 1.5.0
> Remove BinaryNode from TreeNode
> --
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Robert Beauchemin commented on SPARK-9078:
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If there were also a way to get table
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Marcelo Vanzin updated SPARK-8646:
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Summary: PySpark does not run on YARN if master not provided in command
line (was: PySpark does
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Juliet Hougland edited comment on SPARK-8646 at 7/16/15 12:03 AM:
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Juliet Hougland commented on SPARK-8646:
Yea, it works fine if I add that arg. The
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Apache Spark reassigned SPARK-9085:
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Assignee: Apache Spark
> Remove LeafNode, UnaryNode, BinaryNode from TreeNode
> -
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Apache Spark reassigned SPARK-9085:
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Assignee: (was: Apache Spark)
> Remove LeafNode, UnaryNode, BinaryNode from TreeNode
> --
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Apache Spark commented on SPARK-9085:
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User 'rxin' has created a pull request for this
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Marcelo Vanzin commented on SPARK-8646:
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I think I know what's going on. Since you'r
Doug Balog created SPARK-9088:
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Summary: spark-class should ignore driver-memory when running in
YARN cluster mode.
Key: SPARK-9088
URL: https://issues.apache.org/jira/browse/SPARK-9088
Project: Spark
Paul Wu created SPARK-9087:
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Summary: Broken SQL on where condition involving timestamp and
time string.
Key: SPARK-9087
URL: https://issues.apache.org/jira/browse/SPARK-9087
Project: Spark
Issue
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Juliet Hougland edited comment on SPARK-8646 at 7/15/15 11:46 PM:
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Juliet Hougland commented on SPARK-8646:
The failure happens at the point that I n
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Marcelo Vanzin commented on SPARK-8646:
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[~j_houg], could you share the exact code y
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Yin Huai commented on SPARK-9046:
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[~rtreffer] Yes, you are right. Although our schema has
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Sean Owen updated SPARK-9084:
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Component/s: (was: Spark Core)
ML
> Add in support for realtime data predictions usin
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Sean Owen updated SPARK-9084:
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Priority: Minor (was: Critical)
> Add in support for realtime data predictions using ML PipelineModel
> -
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Apache Spark reassigned SPARK-9086:
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Assignee: Reynold Xin (was: Apache Spark)
> Remove BinaryNode from TreeNode
> --
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Apache Spark reassigned SPARK-9086:
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Assignee: Apache Spark (was: Reynold Xin)
> Remove BinaryNode from TreeNode
> --
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Hollin Wilkins updated SPARK-9084:
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Description:
Currently ML provides excellent support for feature manipulation, model
selection,
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Apache Spark commented on SPARK-9086:
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User 'rxin' has created a pull request for this
Reynold Xin created SPARK-9086:
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Summary: Remove BinaryNode from TreeNode
Key: SPARK-9086
URL: https://issues.apache.org/jira/browse/SPARK-9086
Project: Spark
Issue Type: Sub-task
Comp
Reynold Xin created SPARK-9085:
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Summary: Remove LeafNode, UnaryNode, BinaryNode from TreeNode
Key: SPARK-9085
URL: https://issues.apache.org/jira/browse/SPARK-9085
Project: Spark
Issue Type: Im
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Yin Huai edited comment on SPARK-9082 at 7/15/15 11:07 PM:
---
cc [
Hollin Wilkins created SPARK-9084:
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Summary: Add in support for realtime data predictions using ML
PipelineModel
Key: SPARK-9084
URL: https://issues.apache.org/jira/browse/SPARK-9084
Project: Spark
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Yin Huai updated SPARK-9083:
Assignee: Wenchen Fan
> If order by clause has non-deterministic expressions, we should add a project
> to
Yin Huai created SPARK-9083:
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Summary: If order by clause has non-deterministic expressions, we
should add a project to materialize results of these expressions
Key: SPARK-9083
URL: https://issues.apache.org/jira/brows
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Yin Huai commented on SPARK-9082:
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[~cloud_fan] Will you have time to fix this?
> Filter
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Yin Huai commented on SPARK-9082:
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cc [~marmbrus]
> Filter using non-deterministic expres
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Yin Huai updated SPARK-9082:
Assignee: Wenchen Fan
> Filter using non-deterministic expressions should not be pushed down
> -
Yin Huai created SPARK-9082:
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Summary: Filter using non-deterministic expressions should not be
pushed down
Key: SPARK-9082
URL: https://issues.apache.org/jira/browse/SPARK-9082
Project: Spark
Iss
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https://issues.apache.org/jira/browse/SPARK-8599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-8599:
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Summary: Improve non-deterministic expression handling (was: Use a Random
operator to handle Random d
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https://issues.apache.org/jira/browse/SPARK-9078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14628895#comment-14628895
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Reynold Xin commented on SPARK-9078:
It's reasonable to have a field for limit in jdbc
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https://issues.apache.org/jira/browse/SPARK-9016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-9016:
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Assignee: (was: Apache Spark)
> Make random forest classifier extend Classifier abstracti
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https://issues.apache.org/jira/browse/SPARK-9016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-9016:
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Assignee: Apache Spark
> Make random forest classifier extend Classifier abstraction
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https://issues.apache.org/jira/browse/SPARK-9016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14628882#comment-14628882
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Apache Spark commented on SPARK-9016:
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User 'holdenk' has created a pull request for t
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https://issues.apache.org/jira/browse/SPARK-9080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-9080:
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Description:
Add IsNaN expression to return true if the input double/float value is NaN.
was:
Add
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https://issues.apache.org/jira/browse/SPARK-9080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-9080:
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Summary: IsNaN expression (was: IsNan expression)
> IsNaN expression
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Reynold Xin created SPARK-9081:
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Summary: fillna/dropna should also fill/drop NaN values in
addition to null values
Key: SPARK-9081
URL: https://issues.apache.org/jira/browse/SPARK-9081
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-9079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-9079:
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Description:
1. What should NaN = NaN return?
2. If we see NaN in the group by key column, should we
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https://issues.apache.org/jira/browse/SPARK-8797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-8797:
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Priority: Critical (was: Major)
> Sorting float/double column containing NaNs can lead to "Comparison
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https://issues.apache.org/jira/browse/SPARK-9079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-9079:
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Summary: Design NaN semantics (was: equality on NaN with NaN should return
false)
> Design NaN seman
Reynold Xin created SPARK-9080:
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Summary: IsNan expression
Key: SPARK-9080
URL: https://issues.apache.org/jira/browse/SPARK-9080
Project: Spark
Issue Type: Sub-task
Components: SQL
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https://issues.apache.org/jira/browse/SPARK-9046?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14628833#comment-14628833
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Rene Treffer commented on SPARK-9046:
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+1, Decimal.Unlimited is a lie.
https://docs.o
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https://issues.apache.org/jira/browse/SPARK-8797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-8797:
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Assignee: (was: Josh Rosen)
> Sorting float/double column containing NaNs can lead to "Comparison
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