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Yin Huai resolved SPARK-15706.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13447
[https://github.com/
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Yin Huai updated SPARK-15706:
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Assignee: Xiao Li
> Wrong Answer when using IF NOT EXISTS in INSERT OVERWRITE for DYNAMIC
> PARTITION
>
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Herman van Hovell updated SPARK-15989:
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Priority: Major (was: Blocker)
> PySpark SQL python-only UDTs don't support nested typ
Sun Rui created SPARK-16012:
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Summary: add gapplyCollect() for SparkDataFrame
Key: SPARK-16012
URL: https://issues.apache.org/jira/browse/SPARK-16012
Project: Spark
Issue Type: Sub-task
C
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Apache Spark reassigned SPARK-16006:
Assignee: Apache Spark
> Attemping to write empty DataFrame with no fields throw non-intui
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Apache Spark reassigned SPARK-16006:
Assignee: (was: Apache Spark)
> Attemping to write empty DataFrame with no fields thro
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Apache Spark commented on SPARK-16006:
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User 'dongjoon-hyun' has created a pull requ
Davies Liu created SPARK-16011:
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Summary: SQL metrics include duplicated attempts
Key: SPARK-16011
URL: https://issues.apache.org/jira/browse/SPARK-16011
Project: Spark
Issue Type: Bug
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Davies Liu resolved SPARK-15822.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13723
[https://github.
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Simeon Simeonov commented on SPARK-14048:
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I can confirm that this workaround wor
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Xiao Li commented on SPARK-16007:
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Sure, I will add test cases after the SPARK-15982 is
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Tathagata Das commented on SPARK-16007:
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This may have been fixed by the changes in
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Xiangrui Meng closed SPARK-15947.
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> Make pipeline components backward compatible with old vector columns in
> Scala/Java
> ---
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Xiangrui Meng reassigned SPARK-15946:
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Assignee: Xiangrui Meng
> Wrap the conversion utils in Python
>
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Jinxia Liu commented on SPARK-12177:
Thanks Cody, I will check your example.
I can
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Jinxia Liu commented on SPARK-12177:
Okay if you think its ok then let it be.
> Upda
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Apache Spark reassigned SPARK-16008:
Assignee: (was: Apache Spark)
> ML Logistic Regression aggregator serializes unnecessa
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Apache Spark reassigned SPARK-16008:
Assignee: Apache Spark
> ML Logistic Regression aggregator serializes unnecessary data
> -
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Seth Hendrickson updated SPARK-16008:
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Issue Type: Improvement (was: Bug)
> ML Logistic Regression aggregator serializes unnece
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Apache Spark commented on SPARK-16008:
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User 'sethah' has created a pull request for
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Apache Spark reassigned SPARK-16010:
Assignee: (was: Apache Spark)
> Code Refactoring, Test Case Improvement and Descriptio
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Apache Spark reassigned SPARK-16010:
Assignee: Apache Spark
> Code Refactoring, Test Case Improvement and Description Updates f
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Apache Spark commented on SPARK-16010:
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User 'gatorsmile' has created a pull request
Xiao Li created SPARK-16010:
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Summary: Code Refactoring, Test Case Improvement and Description
Updates for SQLConf spark.sql.parquet.filterPushdown
Key: SPARK-16010
URL: https://issues.apache.org/jira/browse/SPARK-1601
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Apache Spark reassigned SPARK-16009:
Assignee: Tathagata Das (was: Apache Spark)
> DataFrameRead.json(path) compatibility brok
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Apache Spark reassigned SPARK-15982:
Assignee: Tathagata Das (was: Apache Spark)
> Harmonize the behavior of DataFrameReader.t
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Apache Spark reassigned SPARK-15982:
Assignee: Apache Spark (was: Tathagata Das)
> Harmonize the behavior of DataFrameReader.t
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Apache Spark commented on SPARK-16009:
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User 'tdas' has created a pull request for t
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Apache Spark commented on SPARK-15982:
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User 'tdas' has created a pull request for t
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Apache Spark reassigned SPARK-16009:
Assignee: Apache Spark (was: Tathagata Das)
> DataFrameRead.json(path) compatibility brok
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Tathagata Das commented on SPARK-15982:
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I have started this. And this has because
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Shivaram Venkataraman resolved SPARK-15908.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-15908:
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Assignee: Dongjoon Hyun
> Add varargs-type dropDuplicates() function in SparkR
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Tathagata Das updated SPARK-15982:
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Description:
Issues with current reader behavior.
- `text()` without args returns an empty DF
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Cody Koeninger commented on SPARK-12177:
The 0.8 consumer had mixed usage from di
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Cody Koeninger updated SPARK-12177:
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Comment: was deleted
(was: Yes, that's related to that Kafka ticket, I noticed similar issues
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Tathagata Das reassigned SPARK-16009:
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Assignee: Tathagata Das
> DataFrameRead.json(path) compatibility broken with Spark 1.6
>
Tathagata Das created SPARK-16009:
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Summary: DataFrameRead.json(path) compatibility broken with Spark
1.6
Key: SPARK-16009
URL: https://issues.apache.org/jira/browse/SPARK-16009
Project: Spark
Seth Hendrickson created SPARK-16008:
Summary: ML Logistic Regression aggregator serializes unnecessary
data
Key: SPARK-16008
URL: https://issues.apache.org/jira/browse/SPARK-16008
Project: Spark
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Tathagata Das updated SPARK-15982:
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Description:
Issues with current reader behavior.
- `text()` without args returns an empty DF
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Dongjoon Hyun commented on SPARK-16006:
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I will fix this tonight~
Thank you for rep
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Tathagata Das updated SPARK-15982:
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Summary: Harmonize the behavior of
DataFrameReader.text/csv/json/parquet/orc (was: DataFrameRe
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Cody Koeninger commented on SPARK-12177:
[~jinx...@ebay.com] Replied by email, bu
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Tathagata Das updated SPARK-16006:
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Priority: Minor (was: Major)
> Attemping to write empty DataFrame with no fields throw non-int
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Tathagata Das updated SPARK-16006:
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Summary: Attemping to write empty DataFrame with no fields throw
non-intuitive exception (was:
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Tathagata Das updated SPARK-16006:
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Description:
Attempting to write an emptyDataFrame created with
{{sparkSession.emptyDataFrame.
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Cody Koeninger commented on SPARK-12177:
Yes, that's related to that Kafka ticket
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Tathagata Das updated SPARK-16006:
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Description:
Attempting to write an emptyDataFrame created with
{{sparkSession.emptyDataFrame.
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Tathagata Das updated SPARK-16007:
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Summary: Empty DataFrame created with spark.read.csv() does not respect
user specified schema
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Tathagata Das updated SPARK-16006:
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Summary: Empty DataFrame with no fields created with spark.read.text()
cannot be written as it
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Tathagata Das updated SPARK-16007:
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Priority: Minor (was: Major)
> Empty DataFrame created with spark.read.load() does not respect
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Tathagata Das updated SPARK-16007:
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Description:
{{spark.schema(someSchema).csv().schema != someSchema}}
The schema of the empty DF
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Joseph K. Bradley resolved SPARK-15490.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13394
[h
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Jinxia Liu edited comment on SPARK-12177 at 6/17/16 2:39 AM:
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Tathagata Das created SPARK-16007:
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Summary: Empty DataFrame created with spark.read.load() does not
respect user specified schema
Key: SPARK-16007
URL: https://issues.apache.org/jira/browse/SPARK-16007
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Tathagata Das updated SPARK-16006:
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Summary: Empty DataFrame created with spark.read.text() cannot be written
as it has no fields
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Apache Spark commented on SPARK-15472:
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User 'lw-lin' has created a pull request for
Tathagata Das created SPARK-16006:
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Summary: Empty DataFrame with spark.read.text() cannot be written
as it has no fields
Key: SPARK-16006
URL: https://issues.apache.org/jira/browse/SPARK-16006
Projec
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Jinxia Liu edited comment on SPARK-12177 at 6/17/16 2:03 AM:
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Jeff Zhang commented on SPARK-15993:
RuntimeConfig in scala api is mutable, if it doe
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Jinxia Liu edited comment on SPARK-12177 at 6/17/16 2:03 AM:
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Jinxia Liu commented on SPARK-12177:
Hi Cody,
should the log usage be unified in the
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Jinxia Liu commented on SPARK-12177:
Hi Cody,
I did some tests today using your conn
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roberto hashioka commented on SPARK-13288:
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I'm having the same issue. I'll try
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Sean Zhong commented on SPARK-14048:
[~simeons]
You can use {{sqlContext.sql("quer
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Apache Spark commented on SPARK-15892:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark reassigned SPARK-15892:
Assignee: Hyukjin Kwon (was: Apache Spark)
> Incorrectly merged AFTAggregator with zero t
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Apache Spark reassigned SPARK-15892:
Assignee: Apache Spark (was: Hyukjin Kwon)
> Incorrectly merged AFTAggregator with zero t
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Manoj Kumar commented on SPARK-14351:
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OK, so here are some benchmarks that validate
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Marcelo Vanzin resolved SPARK-15782.
Resolution: Fixed
> --packages doesn't work with the spark-shell
>
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Alexander Ulanov edited comment on SPARK-15581 at 6/17/16 1:18 AM:
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Alexander Ulanov edited comment on SPARK-15581 at 6/17/16 1:18 AM:
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Apache Spark reassigned SPARK-15973:
Assignee: (was: Apache Spark)
> Fix GroupedData Documentation
> --
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Apache Spark commented on SPARK-15973:
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User 'josh-howes' has created a pull request
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Apache Spark reassigned SPARK-15973:
Assignee: Apache Spark
> Fix GroupedData Documentation
> -
>
>
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Apache Spark commented on SPARK-15822:
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User 'hvanhovell' has created a pull request
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Yanbo Liang resolved SPARK-15608.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Add document for ML IsotonicRegression
>
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Yanbo Liang updated SPARK-15608:
Assignee: Weichen Xu
> Add document for ML IsotonicRegression
> ---
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Marcelo Vanzin commented on SPARK-15343:
Yes, Spark 2.0 updated the version of Je
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Dongjoon Hyun commented on SPARK-14995:
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Hi, All.
If it's okay, I'll make a PR for
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Yin Huai commented on SPARK-15991:
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In the release note, we need to mention that if hive
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Saisai Shao commented on SPARK-15343:
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If timeline is enabled, YarnClient will also p
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Shixiong Zhu resolved SPARK-15991.
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Resolution: Fixed
Fix Version/s: 2.0.0
> After SparkSession has been created, setting ha
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Apache Spark commented on SPARK-15925:
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User 'felixcheung' has created a pull reques
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Reynold Xin resolved SPARK-15966.
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Resolution: Fixed
Assignee: Dhruve Ashar
Fix Version/s: 2.0.0
> Fix markdown for
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Apache Spark reassigned SPARK-16005:
Assignee: Apache Spark
> Add `randomSplit` to SparkR
> ---
>
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https://issues.apache.org/jira/browse/SPARK-16005?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16005:
Assignee: (was: Apache Spark)
> Add `randomSplit` to SparkR
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https://issues.apache.org/jira/browse/SPARK-16005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334976#comment-15334976
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Apache Spark commented on SPARK-16005:
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User 'dongjoon-hyun' has created a pull requ
Dongjoon Hyun created SPARK-16005:
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Summary: Add `randomSplit` to SparkR
Key: SPARK-16005
URL: https://issues.apache.org/jira/browse/SPARK-16005
Project: Spark
Issue Type: Bug
Compo
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https://issues.apache.org/jira/browse/SPARK-16004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16004:
Assignee: Apache Spark
> Improve CatalogTable information
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https://issues.apache.org/jira/browse/SPARK-16004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16004:
Assignee: (was: Apache Spark)
> Improve CatalogTable information
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https://issues.apache.org/jira/browse/SPARK-16004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334956#comment-15334956
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Apache Spark commented on SPARK-16004:
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User 'bomeng' has created a pull request for
Bo Meng created SPARK-16004:
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Summary: Improve CatalogTable information
Key: SPARK-16004
URL: https://issues.apache.org/jira/browse/SPARK-16004
Project: Spark
Issue Type: Bug
Components:
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https://issues.apache.org/jira/browse/SPARK-15999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Faisal updated SPARK-15999:
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Description:
*Spark Monitoring documentation*
https://spark.apache.org/docs/1.5.0/monitoring.html
{quote}
Y
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https://issues.apache.org/jira/browse/SPARK-15999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Faisal updated SPARK-15999:
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Description:
*Spark Monitoring documentation*
https://spark.apache.org/docs/1.5.0/monitoring.html
{quote}
Y
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https://issues.apache.org/jira/browse/SPARK-15999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Faisal reopened SPARK-15999:
> Wrong/Missing information for Spark UI/REST port
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Faisal edited comment on SPARK-15999 at 6/16/16 11:03 PM:
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Appre
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Faisal commented on SPARK-15999:
Appreciate your prompt response but seems like it was ne
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https://issues.apache.org/jira/browse/SPARK-16003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-16003:
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Description:
This is observed while debugging
https://issues.apache.org/jira/browse/SPARK-15811
{co
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https://issues.apache.org/jira/browse/SPARK-16003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-16003:
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Description:
This is observed while debugging
https://issues.apache.org/jira/browse/SPARK-15811
{co
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