Gu Huiqin Alice created SPARK-16563:
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Summary: Spark SQL thrift server fetchResults return empty for
ExecuteStatement operation for repeat calls
Key: SPARK-16563
URL:
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Gu Huiqin Alice updated SPARK-16563:
Summary: Repeat calling Spark SQL thrift server fetchResults return empty
for
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Reynold Xin resolved SPARK-16546.
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Resolution: Fixed
Assignee: Weichen Xu
Fix Version/s: 2.1.0
> Dataframe.drop
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Apache Spark reassigned SPARK-16562:
Assignee: Apache Spark
> Do not allow downcast in INT32 based types for non-vectorized
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Apache Spark commented on SPARK-16562:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-16562:
Assignee: (was: Apache Spark)
> Do not allow downcast in INT32 based types for
Hyukjin Kwon created SPARK-16562:
Summary: Do not allow downcast in INT32 based types for
non-vectorized Parquet reader
Key: SPARK-16562
URL: https://issues.apache.org/jira/browse/SPARK-16562
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Weichen Xu updated SPARK-16561:
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Description:
In `MultivariateOnlineSummarizer` min/max method,
use judgement "nnz(i) < weightSum",
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Weichen Xu updated SPARK-16561:
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Description:
In `MultivariateOnlineSummarizer` min/max method,
use judgement nnz(i) < weightSum, it
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Apache Spark reassigned SPARK-16561:
Assignee: (was: Apache Spark)
> Potential numerial problem in
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Apache Spark reassigned SPARK-16561:
Assignee: Apache Spark
> Potential numerial problem in MultivariateOnlineSummarizer
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Apache Spark commented on SPARK-16561:
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User 'WeichenXu123' has created a pull request for this
Weichen Xu created SPARK-16561:
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Summary: Potential numerial problem in
MultivariateOnlineSummarizer min/max
Key: SPARK-16561
URL: https://issues.apache.org/jira/browse/SPARK-16561
Project: Spark
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Joseph K. Bradley closed SPARK-15465.
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> AnalysisException: cannot cast StructType to VectorUDT
>
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Joseph K. Bradley commented on SPARK-15465:
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Thanks for the notes. This issue is not really a
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Joseph K. Bradley resolved SPARK-15465.
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Resolution: Not A Problem
> AnalysisException: cannot cast StructType to VectorUDT
>
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Apache Spark reassigned SPARK-16544:
Assignee: Apache Spark
> Support for conversion from compatible schema for Parquet data
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Apache Spark reassigned SPARK-16544:
Assignee: (was: Apache Spark)
> Support for conversion from compatible schema for
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Apache Spark commented on SPARK-16544:
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User 'HyukjinKwon' has created a pull request for this
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Mario Briggs edited comment on SPARK-16545 at 7/15/16 3:57 AM:
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thanks. I
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Marcelo Vanzin commented on SPARK-16560:
Why do you think that's an error? Did you check the
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Mario Briggs commented on SPARK-16545:
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thanks. I looked into it too and i was not getting a fix
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Apache Spark commented on SPARK-16545:
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User 'lw-lin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16545:
Assignee: (was: Apache Spark)
> Structured Streaming : foreachSink creates the
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Apache Spark reassigned SPARK-16545:
Assignee: Apache Spark
> Structured Streaming : foreachSink creates the Physical Plan
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Dongjoon Hyun commented on SPARK-16464:
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Never mind.
By the way, Spark allows users defines a new
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Dongjoon Hyun commented on SPARK-16466:
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Thank you, [~n...@dewar-us.com]
BTW, I'm Dongjoon. :)
>
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Chaitanya updated SPARK-16560:
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Description:
I used the following command to run the spark java example of wordcount:-
time
Chaitanya created SPARK-16560:
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Summary: Spark-submit fails without an error
Key: SPARK-16560
URL: https://issues.apache.org/jira/browse/SPARK-16560
Project: Spark
Issue Type: Bug
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Neil Dewar commented on SPARK-16464:
Sorry - due an answer, busy week. will respond tomorrow!
>
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Neil Dewar closed SPARK-16466.
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Resolution: Fixed
Fix Version/s: 1.6.2
per Jongjoon, issue does not occur in 1.6.2
> names()
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Neil Dewar commented on SPARK-16466:
Thanks Dongjoon
I guess the answer is that the minus sign is a
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Neil Dewar closed SPARK-16468.
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Resolution: Not A Problem
Agreed that the problem can be addressed by formatting the response by
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koert kuipers edited comment on SPARK-15796 at 7/15/16 2:53 AM:
we ran
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koert kuipers commented on SPARK-15796:
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we ran into this as well with a long lived application
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Kazuaki Ishizaki updated SPARK-16223:
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Description:
When we compile a Dataframe program with an operation to large array,
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Reynold Xin resolved SPARK-16557.
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Resolution: Fixed
Fix Version/s: 2.0.1
> Remove stale doc in sql/README.md
>
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Reynold Xin updated SPARK-16557:
Fix Version/s: 2.1.0
> Remove stale doc in sql/README.md
> -
>
>
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Kevin commented on SPARK-13532:
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I met this problem too in spark 1.6.0 only when
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Liwei Lin commented on SPARK-16545:
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Thanks for reporting this [~mariobriggs]! I'll submit a patch
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Apache Spark reassigned SPARK-14817:
Assignee: Joseph K. Bradley (was: Apache Spark)
> ML, Graph, R 2.0 QA: Programming guide
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Apache Spark reassigned SPARK-14817:
Assignee: Apache Spark (was: Joseph K. Bradley)
> ML, Graph, R 2.0 QA: Programming guide
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Apache Spark commented on SPARK-14817:
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User 'jkbradley' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16559:
Assignee: Apache Spark
> Got java.lang.ArithmeticException when Num of Buckets is Set to
Xiao Li created SPARK-16559:
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Summary: Got java.lang.ArithmeticException when Num of Buckets is
Set to Zero
Key: SPARK-16559
URL: https://issues.apache.org/jira/browse/SPARK-16559
Project: Spark
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Apache Spark reassigned SPARK-16559:
Assignee: (was: Apache Spark)
> Got java.lang.ArithmeticException when Num of Buckets
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Apache Spark commented on SPARK-16559:
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User 'gatorsmile' has created a pull request for this issue:
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Liwei Lin commented on SPARK-15666:
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This is similar to what
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Liwei Lin commented on SPARK-16283:
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Thanks for the clarification. I'm working on this one, thanks!
>
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Josh Rosen reassigned SPARK-16550:
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Assignee: Josh Rosen
> Caching data with replication doesn't replicate data
>
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Apache Spark reassigned SPARK-16558:
Assignee: (was: Apache Spark)
> examples/mllib/LDAExample should use MLVector instead
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Apache Spark commented on SPARK-16558:
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User 'yinxusen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16558:
Assignee: Apache Spark
> examples/mllib/LDAExample should use MLVector instead of MLlib
Xusen Yin created SPARK-16558:
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Summary: examples/mllib/LDAExample should use MLVector instead of
MLlib Vector
Key: SPARK-16558
URL: https://issues.apache.org/jira/browse/SPARK-16558
Project: Spark
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Josh Rosen commented on SPARK-16550:
*For the case involving a REPL-defined class:* The
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Apache Spark reassigned SPARK-16557:
Assignee: Apache Spark (was: Reynold Xin)
> Remove stale doc in sql/README.md
>
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Apache Spark commented on SPARK-16557:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16557:
Assignee: Reynold Xin (was: Apache Spark)
> Remove stale doc in sql/README.md
>
Reynold Xin created SPARK-16557:
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Summary: Remove stale doc in sql/README.md
Key: SPARK-16557
URL: https://issues.apache.org/jira/browse/SPARK-16557
Project: Spark
Issue Type: Bug
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Reynold Xin updated SPARK-16557:
Issue Type: Documentation (was: Bug)
> Remove stale doc in sql/README.md
>
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Reynold Xin updated SPARK-16557:
Component/s: SQL
> Remove stale doc in sql/README.md
> -
>
>
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Reynold Xin resolved SPARK-16555.
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Resolution: Fixed
Fix Version/s: 2.0.1
> Work around Jekyll error-handling bug which led
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Apache Spark reassigned SPARK-16556:
Assignee: (was: Apache Spark)
> Silent Ignore Bucket Specification When Creating
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Apache Spark commented on SPARK-16556:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16556:
Assignee: Apache Spark
> Silent Ignore Bucket Specification When Creating Table Using
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Xiao Li updated SPARK-16556:
Description:
When creating a data source table without explicit specification of schema or
SELECT clause,
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Reynold Xin commented on SPARK-16550:
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cc [~joshrosen] who wrote SPARK-13990.
> Caching data with
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Reynold Xin updated SPARK-16550:
Description:
Caching multiple replicas of blocks is currently broken. The following examples
show
Xiao Li created SPARK-16556:
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Summary: Silent Ignore Bucket Specification When Creating Table
Using Schema Inference
Key: SPARK-16556
URL: https://issues.apache.org/jira/browse/SPARK-16556
Project: Spark
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Reynold Xin updated SPARK-16550:
Description:
Caching multiple replicas of blocks is currently broken. The following examples
show
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Joseph K. Bradley commented on SPARK-14817:
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The initial PR does need to include 1 major
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Apache Spark reassigned SPARK-16555:
Assignee: Josh Rosen (was: Apache Spark)
> Work around Jekyll error-handling bug which
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Apache Spark commented on SPARK-16555:
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User 'JoshRosen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16555:
Assignee: Apache Spark (was: Josh Rosen)
> Work around Jekyll error-handling bug which
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Sean Owen updated SPARK-16550:
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Priority: Major (was: Blocker)
[~shubhamc] don't set Blocker. Even if this is a real issue, it would
Josh Rosen created SPARK-16555:
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Summary: Work around Jekyll error-handling bug which led to silent
doc build failures
Key: SPARK-16555
URL: https://issues.apache.org/jira/browse/SPARK-16555
Project:
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Shubham Chopra updated SPARK-16550:
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Priority: Blocker (was: Major)
> Caching data with replication doesn't replicate data
>
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Shubham Chopra edited comment on SPARK-16550 at 7/14/16 10:08 PM:
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Shubham Chopra edited comment on SPARK-16550 at 7/14/16 10:05 PM:
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Sheridan Rawlins commented on SPARK-3246:
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Any chance you're working on it, [~mbaddar]? I could
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Shubham Chopra commented on SPARK-16550:
Example code:
```
case class TestInteger(i: Int)
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Reynold Xin resolved SPARK-16553.
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Resolution: Fixed
Assignee: Shivaram Venkataraman
Fix Version/s: 2.0.1
> Typo in
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Apache Spark reassigned SPARK-16553:
Assignee: Apache Spark
> Typo in Spark SQL Programming guide that links to examples
>
Imran Rashid created SPARK-16554:
Summary: Spark should kill executors when they are blacklisted
Key: SPARK-16554
URL: https://issues.apache.org/jira/browse/SPARK-16554
Project: Spark
Issue
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Apache Spark commented on SPARK-16553:
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User 'shivaram' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16553:
Assignee: (was: Apache Spark)
> Typo in Spark SQL Programming guide that links to
Shivaram Venkataraman created SPARK-16553:
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Summary: Typo in Spark SQL Programming guide that links to examples
Key: SPARK-16553
URL: https://issues.apache.org/jira/browse/SPARK-16553
Project:
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Sean Owen commented on SPARK-14808:
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What's the counter-argument though? either some piece of doc is
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Joseph K. Bradley reassigned SPARK-14817:
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Assignee: Joseph K. Bradley
> ML, Graph, R 2.0 QA: Programming guide update and
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https://issues.apache.org/jira/browse/SPARK-14817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15378306#comment-15378306
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Joseph K. Bradley commented on SPARK-14817:
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I'm working on a PR for the major restructuring
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https://issues.apache.org/jira/browse/SPARK-14808?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15378302#comment-15378302
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Joseph K. Bradley commented on SPARK-14808:
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I know this has come up before, and I like the
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https://issues.apache.org/jira/browse/SPARK-16283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15378299#comment-15378299
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Reynold Xin commented on SPARK-16283:
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We just need a function, and doesn't need it to be identical
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https://issues.apache.org/jira/browse/SPARK-16283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15378296#comment-15378296
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Tim Hunter commented on SPARK-16283:
Are we trying to reproduce Hive's results here? In this case,
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https://issues.apache.org/jira/browse/SPARK-16551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-16551:
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Priority: Minor (was: Major)
> Accumulator Examples should demonstrate different use case from UDAFs
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https://issues.apache.org/jira/browse/SPARK-16552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16552:
Assignee: Apache Spark
> Store the Inferred Schemas into External Catalog Tables when
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https://issues.apache.org/jira/browse/SPARK-16552?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15378277#comment-15378277
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Apache Spark commented on SPARK-16552:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16552:
Assignee: (was: Apache Spark)
> Store the Inferred Schemas into External Catalog
Xiao Li created SPARK-16552:
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Summary: Store the Inferred Schemas into External Catalog Tables
when Creating Tables
Key: SPARK-16552
URL: https://issues.apache.org/jira/browse/SPARK-16552
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-16552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-16552:
Issue Type: Improvement (was: Bug)
> Store the Inferred Schemas into External Catalog Tables when
Vladimir Feinberg created SPARK-16551:
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Summary: Accumulator Examples should demonstrate different use
case from UDAFs
Key: SPARK-16551
URL: https://issues.apache.org/jira/browse/SPARK-16551
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