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Xiao Li commented on SPARK-16670:
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https://github.com/apache/spark/pull/13585 A related P
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Narine Kokhlikyan edited comment on SPARK-16679 at 7/22/16 5:34 AM:
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Narine Kokhlikyan updated SPARK-16679:
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Description:
Based on our discussions in:
https://github.com/apache/spark/pull/12836#is
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Narine Kokhlikyan updated SPARK-16679:
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Description:
Based on our discussions in:
https://github.com/apache/spark/pull/12836#is
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Narine Kokhlikyan commented on SPARK-16679:
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Two R helper methods on scala side
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Wenchen Fan resolved SPARK-16556.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Silent Ignore Bucket Specification When Creating
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Wenchen Fan updated SPARK-16556:
Assignee: Xiao Li
> Silent Ignore Bucket Specification When Creating Table Using Schema Inference
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Apache Spark commented on SPARK-16287:
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User 'jaceklaskowski' has created a pull req
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Xiao Li updated SPARK-16678:
Description:
When we create OR alter a view, we check whether the view already exists. In
the current impl
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Xiao Li updated SPARK-16678:
Description:
When we create OR alter a view, we check whether the view already exists. In
the current impl
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Xiao Li updated SPARK-16678:
Summary: Disallow Creating/Altering a View when the same-name Table Exists
(was: Disallow Creating a View
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Adrian Wang commented on SPARK-4003:
DataTypes.TimestampType is not using java.sql.Tim
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Narine Kokhlikyan updated SPARK-16679:
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Component/s: SparkR
> Move `private[sql]` methods in public APIs used for Python/R int
Narine Kokhlikyan created SPARK-16679:
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Summary: Move `private[sql]` methods in public APIs used for
Python/R into a single ‘helper class’
Key: SPARK-16679
URL: https://issues.apache.org/jira/browse/SPARK-166
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Hyukjin Kwon commented on SPARK-16646:
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I see! please let me leave my thought as wel
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Wenchen Fan commented on SPARK-16646:
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some other thoughts about decimal type in Spar
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Xiao Li commented on SPARK-16670:
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welcome
> Partition pruning doesn't work when queries
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Apache Spark reassigned SPARK-16677:
Assignee: Apache Spark
> Strange Error when Issuing Load Table Against A View
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Apache Spark commented on SPARK-16678:
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User 'gatorsmile' has created a pull request
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Apache Spark commented on SPARK-16677:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-16678:
Assignee: (was: Apache Spark)
> Disallow Creating a View when the same-name Table Exis
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Apache Spark reassigned SPARK-16678:
Assignee: Apache Spark
> Disallow Creating a View when the same-name Table Exists
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Apache Spark reassigned SPARK-16677:
Assignee: (was: Apache Spark)
> Strange Error when Issuing Load Table Against A View
>
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Yin Huai commented on SPARK-16670:
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Thanks!
> Partition pruning doesn't work when queri
Xiao Li created SPARK-16678:
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Summary: Disallow Creating a View when the same-name Table Exists
Key: SPARK-16678
URL: https://issues.apache.org/jira/browse/SPARK-16678
Project: Spark
Issue Type: Bu
Xiao Li created SPARK-16677:
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Summary: Strange Error when Issuing Load Table Against A View
Key: SPARK-16677
URL: https://issues.apache.org/jira/browse/SPARK-16677
Project: Spark
Issue Type: Bug
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Xiao Li commented on SPARK-16670:
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I can take a look at this issue. This sounds familiar
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Joe Chong updated SPARK-16676:
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Attachment: Spark UI stays @ pending.png
> Spark jobs stay in pending
> --
>
>
Joe Chong created SPARK-16676:
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Summary: Spark jobs stay in pending
Key: SPARK-16676
URL: https://issues.apache.org/jira/browse/SPARK-16676
Project: Spark
Issue Type: Bug
Components: ML
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Hyukjin Kwon commented on SPARK-16675:
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I will work on this.
> Avoid per-record typ
Hyukjin Kwon created SPARK-16675:
Summary: Avoid per-record type dispatch in JDBC when writing
Key: SPARK-16675
URL: https://issues.apache.org/jira/browse/SPARK-16675
Project: Spark
Issue Typ
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Apache Spark reassigned SPARK-16674:
Assignee: Apache Spark
> Avoid per-record type dispatch in JDBC when reading
> ---
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Apache Spark reassigned SPARK-16674:
Assignee: (was: Apache Spark)
> Avoid per-record type dispatch in JDBC when reading
>
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Apache Spark commented on SPARK-16674:
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User 'HyukjinKwon' has created a pull reques
Hyukjin Kwon created SPARK-16674:
Summary: Avoid per-record type dispatch in JDBC when reading
Key: SPARK-16674
URL: https://issues.apache.org/jira/browse/SPARK-16674
Project: Spark
Issue Typ
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Reynold Xin commented on SPARK-16550:
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[~shubhamc] can you test the patch [~ekhliang]
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Wenchen Fan resolved SPARK-16287.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Implement str_to_map SQL
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Wenchen Fan updated SPARK-16287:
Assignee: Sandeep Singh
> Implement str_to_map SQL function
> -
>
>
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Apache Spark commented on SPARK-15857:
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User 'Sherry302' has created a pull request
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Apache Spark reassigned SPARK-15857:
Assignee: (was: Apache Spark)
> Add Caller Context in Spark
>
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Apache Spark reassigned SPARK-15857:
Assignee: Apache Spark
> Add Caller Context in Spark
> ---
>
>
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Norman He commented on SPARK-16574:
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Here is how i solved it:
/**
* Using Redis to
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Apache Spark commented on SPARK-16550:
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User 'ericl' has created a pull request for
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Tao Lin updated SPARK-16520:
Comment: was deleted
(was: ## What changes were proposed in this pull request?
Added a new column named "W
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Tao Lin updated SPARK-16520:
Comment: was deleted
(was: It looks like this if we use the worker URL as the placeholder (instead
of "Wor
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Tao Lin commented on SPARK-16673:
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Great! If you are going tackle this AFTER SPARK-16520
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Reynold Xin resolved SPARK-16334.
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Resolution: Fixed
Assignee: Sameer Agarwal
Fix Version/s: 2.1.0
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Apache Spark reassigned SPARK-11977:
Assignee: (was: Apache Spark)
> Support accessing a DataFrame column using its name wi
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Apache Spark reassigned SPARK-11977:
Assignee: Apache Spark
> Support accessing a DataFrame column using its name without backt
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Apache Spark reassigned SPARK-11977:
Assignee: (was: Apache Spark)
> Support accessing a DataFrame column using its name wi
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Apache Spark commented on SPARK-11977:
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User 'rerngvit' has created a pull request f
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Apache Spark reassigned SPARK-11977:
Assignee: Apache Spark
> Support accessing a DataFrame column using its name without backt
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Alex Bozarth commented on SPARK-16673:
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Once SPARK-16520 is settled I'm willing to t
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Steven Magana-Zook updated SPARK-4003:
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Comment: was deleted
(was: I am still seeing this issue in Spark 1.6.1 when I try using
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Apache Spark commented on SPARK-16260:
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User 'BryanCutler' has created a pull reques
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Alex Bozarth commented on SPARK-16673:
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SPARK-16520 currently has a pr submitted tha
Alex Bozarth created SPARK-16673:
Summary: New Executor Page displays columns that used to be
conditionally hidden
Key: SPARK-16673
URL: https://issues.apache.org/jira/browse/SPARK-16673
Project: Spar
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Yin Huai updated SPARK-16670:
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Attachment: SPARK-16670.html
yea. An example can be found in the attached notebook.
> Partition pruning
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Apache Spark reassigned SPARK-16672:
Assignee: Apache Spark
> SQLBuilder should not raise exceptions on EXISTS queries
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Apache Spark commented on SPARK-16672:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-16672:
Assignee: (was: Apache Spark)
> SQLBuilder should not raise exceptions on EXISTS queri
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Dongjoon Hyun updated SPARK-16672:
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Summary: SQLBuilder should not raise exceptions on EXISTS queries (was:
SQLBuilder )
> SQLBui
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Dongjoon Hyun updated SPARK-16672:
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Description:
Currently, `SQLBuilder` raises `empty.reduceLeft` exceptions on **unoptimized**
`
Dongjoon Hyun created SPARK-16672:
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Summary: SQLBuilder
Key: SPARK-16672
URL: https://issues.apache.org/jira/browse/SPARK-16672
Project: Spark
Issue Type: Bug
Reporter: Dongjoon
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Reynold Xin commented on SPARK-16670:
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Would be great to attach an example here.
>
Marcelo Vanzin created SPARK-16671:
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Summary: Merge variable substitution code in core and SQL
Key: SPARK-16671
URL: https://issues.apache.org/jira/browse/SPARK-16671
Project: Spark
Issue Ty
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Rajesh Bordawekar commented on SPARK-15581:
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We, at IBM Watson Research, are wo
Yin Huai created SPARK-16670:
Summary: Partition pruning doesn't work when queries contain
disjunctions involving partition columns
Key: SPARK-16670
URL: https://issues.apache.org/jira/browse/SPARK-16670
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Apache Spark commented on SPARK-16669:
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User 'Parth-Brahmbhatt' has created a pull r
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Apache Spark reassigned SPARK-16669:
Assignee: (was: Apache Spark)
> Partition pruning for metastore relation size estimate
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Apache Spark commented on SPARK-16669:
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User 'Parth-Brahmbhatt' has created a pull r
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Apache Spark reassigned SPARK-16669:
Assignee: Apache Spark
> Partition pruning for metastore relation size estimates for bette
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Yin Huai resolved SPARK-16656.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> CreateTableAsSelectSuite is fl
Parth Brahmbhatt created SPARK-16669:
Summary: Partition pruning for metastore relation size estimates
for better join selection.
Key: SPARK-16669
URL: https://issues.apache.org/jira/browse/SPARK-16669
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Yin Huai commented on SPARK-16656:
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https://github.com/apache/spark/pull/14289 has been
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Dongjoon Hyun commented on SPARK-16664:
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Also, FYI, RC5 is the same with the curren
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Dongjoon Hyun commented on SPARK-16664:
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It looks like that. FYI, here is the resul
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Apache Spark commented on SPARK-16668:
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User 'sameeragarwal' has created a pull requ
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Apache Spark reassigned SPARK-16668:
Assignee: Apache Spark
> Test parquet reader for row groups containing both dictionary and
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Apache Spark reassigned SPARK-16668:
Assignee: (was: Apache Spark)
> Test parquet reader for row groups containing both dic
Sameer Agarwal created SPARK-16668:
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Summary: Test parquet reader for row groups containing both
dictionary and plain encoded pages
Key: SPARK-16668
URL: https://issues.apache.org/jira/browse/SPARK-16668
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Sean Owen resolved SPARK-16194.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14167
[https://github.co
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Sean Owen updated SPARK-16194:
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Assignee: Michael Gummelt
> No way to dynamically set env vars on driver in cluster mode
>
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Steven Magana-Zook commented on SPARK-4003:
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I am still seeing this issue in Spa
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Sean Owen commented on SPARK-16667:
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I don't think there's any info here that suggests
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Luis Angel Hernández Acosta updated SPARK-16667:
Description:
I'm running spark app in standalone cluster. My app cr
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Luis Angel Hernández Acosta updated SPARK-16667:
Description:
I'm running spark app in standalone cluster. My app cr
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Sam updated SPARK-1:
Description:
I'm trying to create a dataset with some geo data using spark and esri. If
`Foo` only have `Point` fi
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https://issues.apache.org/jira/browse/SPARK-16667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Luis Angel Hernández Acosta updated SPARK-16667:
Component/s: GraphX
> Spark driver executor dont release unused mem
Luis Angel Hernández Acosta created SPARK-16667:
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Summary: Spark driver executor dont release unused memory
Key: SPARK-16667
URL: https://issues.apache.org/jira/browse/SPARK-16667
Project
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https://issues.apache.org/jira/browse/SPARK-1?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sam updated SPARK-1:
Description:
I'm trying to create a dataset with some geo data using spark and esri. If
`Foo` only have `Point` fi
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https://issues.apache.org/jira/browse/SPARK-1?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sam updated SPARK-1:
Description:
I'm trying to create a dataset with some geo data using spark and esri. If
`Foo` only have `Point` fi
Sam created SPARK-1:
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Summary: Kryo encoder for custom complex classes
Key: SPARK-1
URL: https://issues.apache.org/jira/browse/SPARK-1
Project: Spark
Issue Type: Question
Componen
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https://issues.apache.org/jira/browse/SPARK-16665?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15387909#comment-15387909
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Apache Spark commented on SPARK-16665:
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User 'eastlondoner' has created a pull reque
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https://issues.apache.org/jira/browse/SPARK-16665?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16665:
Assignee: (was: Apache Spark)
> python import pyspark fails in context.py
> -
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https://issues.apache.org/jira/browse/SPARK-16665?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15387908#comment-15387908
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Andrew Jefferson commented on SPARK-16665:
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Pull Request here:
https://github.co
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https://issues.apache.org/jira/browse/SPARK-16665?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16665:
Assignee: Apache Spark
> python import pyspark fails in context.py
>
Andrew Jefferson created SPARK-16665:
Summary: python import pyspark fails in context.py
Key: SPARK-16665
URL: https://issues.apache.org/jira/browse/SPARK-16665
Project: Spark
Issue Type
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https://issues.apache.org/jira/browse/SPARK-12378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15387889#comment-15387889
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Chandana Sapparapu commented on SPARK-12378:
Environment:
Spark 1.6.2
AWS EMR
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https://issues.apache.org/jira/browse/SPARK-16664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15387858#comment-15387858
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Satish Kolli commented on SPARK-16664:
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Here is a demonstration from the spark shell
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