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Lucas Woltmann edited comment on SPARK-13298 at 2/16/16 7:57 AM:
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Looks
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Lucas Woltmann updated SPARK-13298:
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Attachment: dag_full.png
> DAG visualization does not render correctly for jobs
>
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Lucas Woltmann commented on SPARK-13298:
Looks like .cache() breaks it.
DAG without cache():
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dylanzhou edited comment on SPARK-13183 at 2/16/16 7:48 AM:
@Sean Owen maybe
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dylanzhou edited comment on SPARK-13183 at 2/16/16 7:46 AM:
@Sean Owen maybe
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dylanzhou edited comment on SPARK-13183 at 2/16/16 7:45 AM:
There is a memory
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Xiao Li resolved SPARK-13221.
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Resolution: Fixed
> GroupingSets Returns an Incorrect Results
>
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Xiao Li reopened SPARK-13221:
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> GroupingSets Returns an Incorrect Results
> -
>
>
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Xiao Li resolved SPARK-13221.
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Resolution: Resolved
Fix Version/s: 2.0.0
> GroupingSets Returns an Incorrect Results
>
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Xiao Li commented on SPARK-1:
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Tried join, intersect and except in 2.0. Works fine! For example,
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dylanzhou edited comment on SPARK-13183 at 2/16/16 7:36 AM:
There is a memory
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dylanzhou reopened SPARK-13183:
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确实存在内存泄露问题，最后堆内存会耗尽，报错java.lang.OutOfMemoryError: Java heap
Ian Hellstrom created SPARK-13336:
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Summary: Add non-numerical summaries to DataFrame.describe
Key: SPARK-13336
URL: https://issues.apache.org/jira/browse/SPARK-13336
Project: Spark
Issue
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Xiao Li commented on SPARK-1:
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Interesting. This query has specified the seed. Thus, it should return
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Maciej Bryński edited comment on SPARK-13283 at 2/16/16 7:30 AM:
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Yep.
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Maciej Bryński commented on SPARK-13283:
Yep.
For MySQL this could look like this:
{code}
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Adrian Wang commented on SPARK-13283:
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So the problem here is that "from" is a reserved word in
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Matt Cheah updated SPARK-13335:
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Priority: Minor (was: Major)
> Optimize Data Frames collect_list and collect_set with declarative
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Matt Cheah commented on SPARK-13335:
I have a prototypical patch for this and can submit a PR
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Matt Cheah updated SPARK-13335:
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Summary: Optimize Data Frames collect_list and collect_set with declarative
aggregates (was:
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Matt Cheah updated SPARK-13335:
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Component/s: SQL
> Optimize collect_list and collect_set with declarative aggregates
>
Matt Cheah created SPARK-13335:
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Summary: Optimize collect_list and collect_set with declarative
aggregates
Key: SPARK-13335
URL: https://issues.apache.org/jira/browse/SPARK-13335
Project: Spark
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Maciej Bryński commented on SPARK-13283:
No it's not fixed.
Problem is in:
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Xiao Li commented on SPARK-1:
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The current solution also has performance penalty. That has been
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Xiao Li commented on SPARK-1:
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You will get the right result if you cache the first DF
{code}
//
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Xiao Li commented on SPARK-1:
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This is a known issue. The same issue exists in CTE with
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Adrian Wang commented on SPARK-13283:
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See comments from SPARK-13297, this have been fixed in master
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Apache Spark reassigned SPARK-13334:
Assignee: Apache Spark
> ML KMeansModel/BisectingKMeansModel should be set parent
>
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Apache Spark commented on SPARK-13334:
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User 'yanboliang' has created a pull request for this issue:
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Apache Spark reassigned SPARK-13334:
Assignee: (was: Apache Spark)
> ML KMeansModel/BisectingKMeansModel should be set
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Yanbo Liang updated SPARK-13334:
Summary: ML KMeansModel/BisectingKMeansModel/QuantileDiscretizerModel
should be set parent (was:
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Yanbo Liang updated SPARK-13334:
Summary: ML KMeansModel/BisectingKMeansModel should be set parent (was: ML
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Yanbo Liang updated SPARK-13334:
Description:
ML KMeansModel / BisectingKMeansModel / QuantileDiscretizer should be set
parent.
I
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Yanbo Liang updated SPARK-13334:
Description:
ML KMeansModel / BisectingKMeansModel / QuantileDiscretizer should be set
parent.
I
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Yanbo Liang updated SPARK-13334:
Description:
ML KMeansModel / BisectingKMeansModel / QuantileDiscretizer should be set
parent.
I
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Yanbo Liang updated SPARK-13334:
Description:
ML KMeansModel / BisectingKMeansModel / QuantileDiscretizer should be set
parent.
I
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Xiao Li commented on SPARK-1:
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Glad to work on this issue. Let me try it. Will keep you posted.
Yanbo Liang created SPARK-13334:
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Summary: ML KMeansModel / BisectingKMeansModel should be set parent
Key: SPARK-13334
URL: https://issues.apache.org/jira/browse/SPARK-13334
Project: Spark
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Joseph K. Bradley commented on SPARK-1:
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I haven't tested with 1.5 yet, but I assume it
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Joseph K. Bradley updated SPARK-1:
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Affects Version/s: 1.6.1
1.4.2
> DataFrame filter + randn +
Joseph K. Bradley created SPARK-1:
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Summary: DataFrame filter + randn + unionAll has bad interaction
Key: SPARK-1
URL: https://issues.apache.org/jira/browse/SPARK-1
Project: Spark
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Qian Huang commented on SPARK-4036:
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Hi, I have created a spark package,
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Apache Spark reassigned SPARK-13332:
Assignee: Apache Spark
> Decimal datatype support for SQL pow
>
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Apache Spark reassigned SPARK-13332:
Assignee: (was: Apache Spark)
> Decimal datatype support for SQL pow
>
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Apache Spark commented on SPARK-13332:
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User 'yucai' has created a pull request for this issue:
yucai created SPARK-13332:
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Summary: Decimal datatype support for SQL pow
Key: SPARK-13332
URL: https://issues.apache.org/jira/browse/SPARK-13332
Project: Spark
Issue Type: Bug
Components:
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Xiangrui Meng resolved SPARK-13018.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11126
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Xiangrui Meng resolved SPARK-13097.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10976
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Xiao Li commented on SPARK-2183:
This problem still exists, right? I guess it might hurt the performance
Dong Chen created SPARK-13331:
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Summary: Spark network encryption optimization
Key: SPARK-13331
URL: https://issues.apache.org/jira/browse/SPARK-13331
Project: Spark
Issue Type: Improvement
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SaintBacchus commented on SPARK-12316:
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[~tgraves] The application would not hit the same condition
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Apache Spark reassigned SPARK-13330:
Assignee: (was: Apache Spark)
> PYTHONHASHSEED is not propgated to executor
>
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Apache Spark commented on SPARK-13330:
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User 'zjffdu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-13330:
Assignee: Apache Spark
> PYTHONHASHSEED is not propgated to executor
>
Jeff Zhang created SPARK-13330:
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Summary: PYTHONHASHSEED is not propgated to executor
Key: SPARK-13330
URL: https://issues.apache.org/jira/browse/SPARK-13330
Project: Spark
Issue Type: Bug
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Xusen Yin commented on SPARK-11381:
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[~somi...@us.ibm.com] Are you still interested in working on it?
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Xusen Yin updated SPARK-11337:
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Description:
The example code in the user guide is embedded in the markdown and hence it is
not easy
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Xusen Yin updated SPARK-11337:
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Description:
The example code in the user guide is embedded in the markdown and hence it is
not easy
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Xusen Yin updated SPARK-11337:
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Description:
The example code in the user guide is embedded in the markdown and hence it is
not easy
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Xusen Yin updated SPARK-11337:
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Description:
The example code in the user guide is embedded in the markdown and hence it is
not easy
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Xusen Yin updated SPARK-11337:
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Description:
The example code in the user guide is embedded in the markdown and hence it is
not easy
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Apache Spark reassigned SPARK-13329:
Assignee: Davies Liu (was: Apache Spark)
> Considering output for statistics of logicol
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Apache Spark reassigned SPARK-13329:
Assignee: Apache Spark (was: Davies Liu)
> Considering output for statistics of logicol
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Apache Spark commented on SPARK-13329:
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User 'davies' has created a pull request for this issue:
Davies Liu created SPARK-13329:
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Summary: Considering output for statistics of logicol plan
Key: SPARK-13329
URL: https://issues.apache.org/jira/browse/SPARK-13329
Project: Spark
Issue Type:
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Xusen Yin commented on SPARK-13038:
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I start working on it.
> PySpark ml.pipeline support
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Hyukjin Kwon commented on SPARK-13323:
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{code}
sqlCtx.createDataFrame([["a"], [1]]).show()
{code}
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Nezih Yigitbasi updated SPARK-13328:
Summary: Possible Poor read performance for broadcast variables with
dynamic resource
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Nezih Yigitbasi updated SPARK-13328:
Summary: Possible poor read performance for broadcast variables with
dynamic resource
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Nezih Yigitbasi edited comment on SPARK-13328 at 2/15/16 11:30 PM:
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Nezih Yigitbasi commented on SPARK-13328:
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Although this long time can be reduced by decreasing
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https://issues.apache.org/jira/browse/SPARK-12675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147895#comment-15147895
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William Dixon commented on SPARK-12675:
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I see this issue in Spark 1.5.2 running in local,
Nezih Yigitbasi created SPARK-13328:
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Summary: Poor read performance for broadcast variables with
dynamic resource allocation
Key: SPARK-13328
URL: https://issues.apache.org/jira/browse/SPARK-13328
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Michael Armbrust updated SPARK-12583:
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Target Version/s: 1.6.1
> spark shuffle fails with mesos after 2mins
>
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Hyukjin Kwon commented on SPARK-13323:
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Let me add some codes here to reproduce in an hour.
> Type
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Hyukjin Kwon edited comment on SPARK-13323 at 2/15/16 10:43 PM:
[~davies]
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Hyukjin Kwon commented on SPARK-13323:
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[~davies]
Yes it's complicated but dealimg with numeric
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Oscar D. Lara Yejas commented on SPARK-13327:
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I'm working on this one
> colnames()<- allows
Oscar D. Lara Yejas created SPARK-13327:
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Summary: colnames()<- allows invalid column names
Key: SPARK-13327
URL: https://issues.apache.org/jira/browse/SPARK-13327
Project: Spark
Issue
koert kuipers created SPARK-13326:
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Summary: Dataset in spark 2.0.0-SNAPSHOT missing columns
Key: SPARK-13326
URL: https://issues.apache.org/jira/browse/SPARK-13326
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-12969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147829#comment-15147829
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Ankit Jindal commented on SPARK-12969:
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Hi Jais,
i am running java program directly, and following
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Apache Spark reassigned SPARK-13325:
Assignee: Apache Spark
> Create a high-quality 64-bit hashcode expression
>
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Apache Spark reassigned SPARK-13325:
Assignee: (was: Apache Spark)
> Create a high-quality 64-bit hashcode expression
>
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Apache Spark commented on SPARK-13325:
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User 'hvanhovell' has created a pull request for this issue:
Herman van Hovell created SPARK-13325:
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Summary: Create a high-quality 64-bit hashcode expression
Key: SPARK-13325
URL: https://issues.apache.org/jira/browse/SPARK-13325
Project: Spark
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Jais Sebastian commented on SPARK-12969:
Hi Ankit,
Don't use spark submit. Try the following
1.
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Ankit Jindal commented on SPARK-12969:
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Hi Jais,
Yes, i have tested your program in client mode
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Jais Sebastian commented on SPARK-12969:
Hi Ankit,
Have you tested the program in client mode ?
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https://issues.apache.org/jira/browse/SPARK-12759?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147682#comment-15147682
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Daniel Jalova commented on SPARK-12759:
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I will work on this, thanks.
> Spark should fail fast if
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https://issues.apache.org/jira/browse/SPARK-13320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147663#comment-15147663
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Apache Spark commented on SPARK-13320:
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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-13320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13320:
Assignee: Apache Spark
> Confusing error message for Dataset API when using sum("*")
>
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https://issues.apache.org/jira/browse/SPARK-13320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13320:
Assignee: (was: Apache Spark)
> Confusing error message for Dataset API when using
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https://issues.apache.org/jira/browse/SPARK-12583?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147642#comment-15147642
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Bertrand Bossy commented on SPARK-12583:
[~marmbrus] If this could make it into 1.6.1, that would
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https://issues.apache.org/jira/browse/SPARK-12583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12583:
Assignee: (was: Apache Spark)
> spark shuffle fails with mesos after 2mins
>
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https://issues.apache.org/jira/browse/SPARK-12583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12583:
Assignee: Apache Spark
> spark shuffle fails with mesos after 2mins
>
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https://issues.apache.org/jira/browse/SPARK-12583?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147614#comment-15147614
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Apache Spark commented on SPARK-12583:
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User 'bbossy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-13323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147591#comment-15147591
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Davies Liu commented on SPARK-13323:
HiveTypeCoercion is pretty complicated, we may don't want to
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https://issues.apache.org/jira/browse/SPARK-4563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147434#comment-15147434
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Paulo Villegas edited comment on SPARK-4563 at 2/15/16 2:59 PM:
Hi. I
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https://issues.apache.org/jira/browse/SPARK-4563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147434#comment-15147434
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Paulo Villegas commented on SPARK-4563:
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Hi. I would have a use case for this functionality: when
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https://issues.apache.org/jira/browse/SPARK-13297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15147371#comment-15147371
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Grzegorz Chilkiewicz commented on SPARK-13297:
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