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Apache Spark reassigned SPARK-20994:
Assignee: (was: Apache Spark)
> Alleviate memory pressure in StreamManager
> -
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Apache Spark reassigned SPARK-20994:
Assignee: Apache Spark
> Alleviate memory pressure in StreamManager
>
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Apache Spark reassigned SPARK-20993:
Assignee: (was: Apache Spark)
> The configuration item about 'Spark.blacklist.enabled'
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Apache Spark commented on SPARK-20994:
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User 'jinxing64' has created a pull request
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Apache Spark reassigned SPARK-20993:
Assignee: Apache Spark
> The configuration item about 'Spark.blacklist.enabled' need to s
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Apache Spark commented on SPARK-20993:
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User 'guoxiaolongzte' has created a pull req
jin xing created SPARK-20994:
Summary: Alleviate memory pressure in StreamManager
Key: SPARK-20994
URL: https://issues.apache.org/jira/browse/SPARK-20994
Project: Spark
Issue Type: Improvement
guoxiaolongzte created SPARK-20993:
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Summary: The configuration item about 'Spark.blacklist.enabled'
need to set the default value 'false'
Key: SPARK-20993
URL: https://issues.apache.org/jira/browse/SPARK-20993
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Mahesh commented on SPARK-20984:
I checked the orc code and that is failing with near sim
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Arman Yazdani closed SPARK-19236.
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> Add createOrReplaceGlobalTempView
> -
>
> Key: SPAR
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Dmitry Buzolin updated SPARK-18085:
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Your contact with NYSE has changed, please visit https://www.nyse.com/contact
or call +1 866 873
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DjvuLee commented on SPARK-18085:
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[~vanzin] I want to try your branch. Does all the info
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Randy Kerber commented on SPARK-16599:
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I've been trying to resolve this error for p
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Hyukjin Kwon commented on SPARK-20943:
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[~canbinzheng], I think (as I see no positiv
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Hyukjin Kwon commented on SPARK-20943:
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I guess we could resolve the issue in any ev
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Hyukjin Kwon resolved SPARK-20983.
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Resolution: Cannot Reproduce
I am also able to reproduce this in 2.1.0.
Fortunately, it looks
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Apache Spark reassigned SPARK-20992:
Assignee: Apache Spark
> Support for Nomad as scheduler backend
>
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Apache Spark reassigned SPARK-20992:
Assignee: (was: Apache Spark)
> Support for Nomad as scheduler backend
> -
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Apache Spark commented on SPARK-20992:
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User 'barnardb' has created a pull request f
Ben Barnard created SPARK-20992:
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Summary: Support for Nomad as scheduler backend
Key: SPARK-20992
URL: https://issues.apache.org/jira/browse/SPARK-20992
Project: Spark
Issue Type: New Feature
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Saisai Shao commented on SPARK-20943:
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>From my point, it is not really necessary to
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Saisai Shao commented on SPARK-20982:
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Thanks a lot [~vanzin] for your response. Thou
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CanBin Zheng commented on SPARK-20943:
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[~srowen][~saisai_shao] What's the final con
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Shixiong Zhu reassigned SPARK-20991:
Assignee: Feng Liu
> BROADCAST_TIMEOUT conf should be a timeoutConf
>
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Shixiong Zhu resolved SPARK-20991.
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Resolution: Fixed
Fix Version/s: 2.3.0
> BROADCAST_TIMEOUT conf should be a timeoutConf
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Tathagata Das resolved SPARK-20957.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Marcelo Vanzin resolved SPARK-20926.
Resolution: Fixed
Assignee: Reza Safi
Fix Version/s: 2.3.0
I chose not to p
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Apache Spark reassigned SPARK-20991:
Assignee: (was: Apache Spark)
> BROADCAST_TIMEOUT conf should be a timeoutConf
> -
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Apache Spark reassigned SPARK-20991:
Assignee: Apache Spark
> BROADCAST_TIMEOUT conf should be a timeoutConf
>
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Apache Spark commented on SPARK-20991:
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User 'liufengdb' has created a pull request
Feng Liu created SPARK-20991:
Summary: BROADCAST_TIMEOUT conf should be a timeoutConf
Key: SPARK-20991
URL: https://issues.apache.org/jira/browse/SPARK-20991
Project: Spark
Issue Type: Bug
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Sean Owen updated SPARK-20989:
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Priority: Minor (was: Major)
I'm not clear that this is intended to work this way, but if it's not, ma
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Michael Armbrust commented on SPARK-20980:
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I already cut RC4, I think we may ju
Xiao Li created SPARK-20990:
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Summary: Multi-line support for JSON
Key: SPARK-20990
URL: https://issues.apache.org/jira/browse/SPARK-20990
Project: Spark
Issue Type: Bug
Components: SQL
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Xiao Li updated SPARK-20980:
Description:
The current option name `wholeFile` is misleading for CSV. Currently, it is not
representing
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Xiao Li updated SPARK-20980:
Summary: Rename the option `wholeFile` to `multiLine` for JSON and CSV
(was: CSV: rename the option `whole
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Marcelo Vanzin resolved SPARK-20981.
Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.3.0
> Add --reposi
Jiang Xingbo created SPARK-20989:
Summary: Fail to start multiple workers on one host if external
shuffle service is enabled in standalone mode
Key: SPARK-20989
URL: https://issues.apache.org/jira/browse/SPARK-209
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Marcelo Vanzin commented on SPARK-20982:
Really not familiar with that stuff. But
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Apache Spark commented on SPARK-20754:
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User 'wangyum' has created a pull request fo
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Dongjoon Hyun commented on SPARK-20984:
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Thank you for confirming!
> Reading back
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Apache Spark reassigned SPARK-20986:
Assignee: (was: Apache Spark)
> Reset table's statistics after PruneFileSourcePartitio
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Lianhui Wang updated SPARK-20986:
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Description: After PruneFileSourcePartitions rule, It needs reset table's
statistics because Prun
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Apache Spark reassigned SPARK-20986:
Assignee: Apache Spark
> Reset table's statistics after PruneFileSourcePartitions rule.
>
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Apache Spark commented on SPARK-20986:
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User 'lianhuiwang' has created a pull reques
Seth Hendrickson created SPARK-20988:
Summary: Convert logistic regression to new aggregator framework
Key: SPARK-20988
URL: https://issues.apache.org/jira/browse/SPARK-20988
Project: Spark
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Michael Smith commented on SPARK-20193:
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Would be nice for the error message to des
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Sean Owen commented on SPARK-20987:
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Looks like a duplicate of one of several issues, l
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pralabhkumar commented on SPARK-20199:
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[~josephkb] Please review the pull request.
Maher Hattabi created SPARK-20987:
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Summary: columns with name having dots caused issues with
VectorAssemblor
Key: SPARK-20987
URL: https://issues.apache.org/jira/browse/SPARK-20987
Project: Spark
Lianhui Wang created SPARK-20986:
Summary: Reset table's statistics after PruneFileSourcePartitions
rule.
Key: SPARK-20986
URL: https://issues.apache.org/jira/browse/SPARK-20986
Project: Spark
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jin xing updated SPARK-20985:
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Description: SparkContext should always be stopped after using, thus other
tests won't complain that ther
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Mahesh edited comment on SPARK-20984 at 6/5/17 10:00 AM:
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**Parqu
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Mahesh commented on SPARK-20984:
Parquet is fine.
> testOnly org.apache.spark.sql.hive.Hi
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Apache Spark reassigned SPARK-20985:
Assignee: Apache Spark
> Improve KryoSerializerResizableOutputSuite
>
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Apache Spark reassigned SPARK-20985:
Assignee: (was: Apache Spark)
> Improve KryoSerializerResizableOutputSuite
> -
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Apache Spark commented on SPARK-20985:
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User 'jinxing64' has created a pull request
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Sean Owen updated SPARK-20985:
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Priority: Trivial (was: Minor)
Issue Type: Improvement (was: Bug)
Actually, it should extend Lo
jin xing created SPARK-20985:
Summary: Improve KryoSerializerResizableOutputSuite
Key: SPARK-20985
URL: https://issues.apache.org/jira/browse/SPARK-20985
Project: Spark
Issue Type: Bug
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Dongjoon Hyun commented on SPARK-15731:
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Hi, All.
I simply tested on HDFS with the
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Sean Owen resolved SPARK-19762.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 17094
[https://github.co
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Sean Owen reassigned SPARK-19762:
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Assignee: Seth Hendrickson
> Implement aggregator/loss function hierarchy and apply to linear re
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Sean Owen resolved SPARK-20977.
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Resolution: Invalid
Questions should go to the mailing list. There's no info about how you
encounter
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Sean Owen reassigned SPARK-20930:
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Assignee: zhengruifeng
Affects Version/s: (was: 2.3.0)
2.
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Sean Owen resolved SPARK-20930.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18152
[https://github.co
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Sean Owen reassigned SPARK-20945:
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Assignee: liupengcheng
Priority: Minor (was: Major)
> NoSuchElementException key not found
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Sean Owen resolved SPARK-20945.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18171
[https://github.co
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Dongjoon Hyun commented on SPARK-20984:
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Hi, do you experience this on ORC only? Wh
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Liang-Chi Hsieh commented on SPARK-20969:
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It seems to me that the second result
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Pen Xiao updated SPARK-20983:
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Description:
reproduce steps:
val df =
sc.parallelize(Array((1,1,1),(1,1,2),(1,2,1))).toDF("c1","c2","c3
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Pen Xiao updated SPARK-20983:
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Description:
reproduce steps:
``` scala
val df =
sc.parallelize(Array((1,1,1),(1,1,2),(1,2,1))).toDF("c1
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pralabhkumar commented on SPARK-20199:
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[~peng.m...@intel.com][~sowen]
Please review
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Mahesh commented on SPARK-13736:
[~luciano resende] I found a problem with orc on Big-End
Mahesh created SPARK-20984:
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Summary: Reading back from ORC format gives error on big endian
systems.
Key: SPARK-20984
URL: https://issues.apache.org/jira/browse/SPARK-20984
Project: Spark
Issue Ty
Pen Xiao created SPARK-20983:
Summary: AnalysisException when joining data frames derived from
the same duplicates-dropped one.
Key: SPARK-20983
URL: https://issues.apache.org/jira/browse/SPARK-20983
Proj
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Sean Owen resolved SPARK-20968.
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Resolution: Not A Problem
> Support separator in Tokenizer
> --
>
>
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Sean Owen reopened SPARK-20968:
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> Support separator in Tokenizer
> --
>
> Key: SPARK-20968
>
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Sean Owen commented on SPARK-20922:
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This is already publicly disclosed, which isn't a
Saisai Shao created SPARK-20982:
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Summary: Consider adding SSL support for Spark REST submission
server and client
Key: SPARK-20982
URL: https://issues.apache.org/jira/browse/SPARK-20982
Project: Spark
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