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Reynold Xin commented on SPARK-15205:
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This is not a bug per se. I've changed it to improvement and
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Reynold Xin updated SPARK-15205:
Target Version/s: 2.1.0
Issue Type: Improvement (was: Bug)
> Codegen can compile the
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Fabian Tan updated SPARK-15377:
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Description:
Hi there,
I wonder if anyone gotten SASL to work with Spark 1.6.1 on YARN?
At this
Fabian Tan created SPARK-15377:
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Summary: Enabling SASL Spark 1.6.1
Key: SPARK-15377
URL: https://issues.apache.org/jira/browse/SPARK-15377
Project: Spark
Issue Type: Question
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Reynold Xin updated SPARK-15372:
Affects Version/s: (was: 2.0.0)
Target Version/s: 2.0.0
Fix Version/s: (was:
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Reynold Xin commented on SPARK-15372:
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[~freiss] you are saying this is not a problem right?
>
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xiaoyu chen updated SPARK-15376:
Description:
It's a odd bug, occur under this situation:
{code:title=Bar.scala}
val
xiaoyu chen created SPARK-15376:
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Summary: DataFrame write.jdbc() inserts more rows than acutal
Key: SPARK-15376
URL: https://issues.apache.org/jira/browse/SPARK-15376
Project: Spark
Issue
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Abraham Zhan updated SPARK-15346:
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Description:
h2.Main Issue
I found that for KMans|| in mllib, when dataset is in large scale,
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Saisai Shao updated SPARK-15375:
Summary: Add ConsoleSink for structure streaming to display the dataframe
on the fly (was: Add
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Apache Spark reassigned SPARK-15375:
Assignee: (was: Apache Spark)
> Add ConsoleSink for structure sink to display the
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Apache Spark reassigned SPARK-15375:
Assignee: Apache Spark
> Add ConsoleSink for structure sink to display the dataframe on
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Apache Spark commented on SPARK-15375:
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User 'jerryshao' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-4105?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhongshuai Pei updated SPARK-4105:
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Comment: was deleted
(was: Can you suggest how I reproduce this error?)
>
Saisai Shao created SPARK-15375:
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Summary: Add ConsoleSink for structure sink to display the
dataframe on the fly
Key: SPARK-15375
URL: https://issues.apache.org/jira/browse/SPARK-15375
Project: Spark
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Apache Spark reassigned SPARK-14851:
Assignee: (was: Apache Spark)
> Support radix sort with nullable longs
>
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Apache Spark reassigned SPARK-14851:
Assignee: Apache Spark
> Support radix sort with nullable longs
>
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Apache Spark commented on SPARK-14851:
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User 'ericl' has created a pull request for this issue:
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Jeff Zhang updated SPARK-15345:
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Summary: SparkSession's conf doesn't take effect when there's already an
existing SparkContext
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Apache Spark reassigned SPARK-15345:
Assignee: Apache Spark
> SparkSession's conf doesn't take effect when this already an
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Apache Spark commented on SPARK-15345:
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User 'zjffdu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15345:
Assignee: (was: Apache Spark)
> SparkSession's conf doesn't take effect when this
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Jeff Zhang updated SPARK-15345:
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Summary: SparkSession's conf doesn't take effect when this already an
existing SparkContext (was:
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Jeff Zhang updated SPARK-15345:
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Component/s: SQL
> Cannot connect to Hive databases
>
>
>
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Jeff Zhang updated SPARK-15345:
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Priority: Blocker (was: Critical)
> Cannot connect to Hive databases
>
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Jeff Zhang commented on SPARK-15345:
The root cause is that in pyspark SparkContext is created first
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Zhongshuai Pei commented on SPARK-4105:
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Can you suggest how I reproduce this error?
>
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Zhongshuai Pei commented on SPARK-4105:
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Can you suggest how I reproduce this error?
>
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Euan de Kock commented on SPARK-15374:
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Sample script to replicate this error (Last line will fail
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Wenchen Fan updated SPARK-15367:
Assignee: Xiao Li
> Add refreshTable back
> --
>
> Key:
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Euan de Kock updated SPARK-15374:
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Description:
When an external table is built from Spark, and is subsequently accessed by
Hive
Euan de Kock created SPARK-15374:
Summary: Spark created Parquet files cause NPE when a column has
only NULL values
Key: SPARK-15374
URL: https://issues.apache.org/jira/browse/SPARK-15374
Project:
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Reynold Xin updated SPARK-15370:
Target Version/s: 2.0.0
> Some correlated subqueries return incorrect answers
>
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Saisai Shao commented on SPARK-15368:
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Maybe you could try {{SPARK_CLASSPATH}}, though deprecated
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Saisai Shao commented on SPARK-15371:
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I think what you mentioned above is relate to this JIRA
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Reynold Xin updated SPARK-15340:
Target Version/s: 2.0.0
> Limit the size of the map used to cache JobConfs to void OOM
>
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Frederick Reiss commented on SPARK-15372:
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There is no CONCAT function in the SQL standard. The
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Dongjoon Hyun updated SPARK-15373:
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Description:
Currently, SparkUI shows two timezones in a single page when the timezone of
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Apache Spark commented on SPARK-15373:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-15373:
Assignee: Apache Spark
> SparkUI should show consistent timezones.
>
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Apache Spark reassigned SPARK-15373:
Assignee: (was: Apache Spark)
> SparkUI should show consistent timezones.
>
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Dongjoon Hyun updated SPARK-15373:
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Description:
Currently, SparkUI shows two timezones in a single page when the timezone of
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Dongjoon Hyun updated SPARK-15373:
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Description:
Currently, SparkUI shows two timezones in a single page when the timezone of
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Dongjoon Hyun updated SPARK-15373:
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Description:
Currently, SparkUI shows two timezones in a single page when the timezone of
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Dongjoon Hyun updated SPARK-15373:
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Description:
Currently, SparkUI shows two timezones in a single page when the timezone of
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Dongjoon Hyun updated SPARK-15373:
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Attachment: timezone.png
> SparkUI should show consistent timezones.
>
Dongjoon Hyun created SPARK-15373:
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Summary: SparkUI should show consistent timezones.
Key: SPARK-15373
URL: https://issues.apache.org/jira/browse/SPARK-15373
Project: Spark
Issue Type: Bug
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Jeff Zhang commented on SPARK-15345:
Try to work on it.
> Cannot connect to Hive databases
>
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Apache Spark commented on SPARK-14346:
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User 'yhuai' has created a pull request for this issue:
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JESSE CHEN updated SPARK-15372:
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Description:
The official TPC-DS query 84 returns wrong results when compared to its
official
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JESSE CHEN updated SPARK-15372:
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Description:
The official TPC-DS query 84 returns wrong results when compared to its
official
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JESSE CHEN updated SPARK-15372:
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Labels: SPARK-15071 (was: )
> TPC-DS Qury 84 returns wrong results against TPC official
>
JESSE CHEN created SPARK-15372:
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Summary: TPC-DS Qury 84 returns wrong results against TPC official
Key: SPARK-15372
URL: https://issues.apache.org/jira/browse/SPARK-15372
Project: Spark
Issue
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Apache Spark reassigned SPARK-15367:
Assignee: Apache Spark
> Add refreshTable back
> --
>
>
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Apache Spark commented on SPARK-15367:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15367:
Assignee: (was: Apache Spark)
> Add refreshTable back
> --
>
>
Jeff Field created SPARK-15371:
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Summary: YARNShuffleService doesn't get current local-dirs from
NodeManager
Key: SPARK-15371
URL: https://issues.apache.org/jira/browse/SPARK-15371
Project: Spark
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Yin Huai updated SPARK-11735:
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Assignee: Shixiong Zhu
> Add a check in the constructor of SqlContext to make sure the SparkContext is
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Yin Huai resolved SPARK-11735.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13154
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Dawson Choong edited comment on SPARK-15368 at 5/17/16 9:45 PM:
I see,
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Dawson Choong edited comment on SPARK-15368 at 5/17/16 9:45 PM:
I see,
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Dawson Choong commented on SPARK-15368:
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I see, sorry for the confusion. May I ask how I would
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Apache Spark commented on SPARK-11735:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15361?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15361:
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Shepherd: Joseph K. Bradley
Assignee: Yanbo Liang
> ML 2.0 QA: Scala APIs audit
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Apache Spark commented on SPARK-15370:
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User 'frreiss' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15370:
Assignee: Apache Spark
> Some correlated subqueries return incorrect answers
>
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Apache Spark reassigned SPARK-15370:
Assignee: (was: Apache Spark)
> Some correlated subqueries return incorrect answers
>
Frederick Reiss created SPARK-15370:
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Summary: Some correlated subqueries return incorrect answers
Key: SPARK-15370
URL: https://issues.apache.org/jira/browse/SPARK-15370
Project: Spark
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Parth Brahmbhatt updated SPARK-15365:
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Description: Currently if a table is used in join operation we rely on
Metastore
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Barry Becker commented on SPARK-10520:
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We would also like to have avg date aggregate work out of
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praveen dareddy commented on SPARK-15364:
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Hi,
[~mengxr]
I would like to work on this issue.
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Joseph K. Bradley updated SPARK-15362:
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Shepherd: Joseph K. Bradley
Assignee: Yanbo Liang
> Make spark.ml KMeansModel load
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Sean Owen commented on SPARK-15368:
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Hm, but that's not how you'd specify an arg to the history server.
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Davies Liu resolved SPARK-15244.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13097
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Davies Liu updated SPARK-15244:
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Assignee: Dongjoon Hyun
> Type of column name created with sqlContext.createDataFrame() is not
>
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Xiangrui Meng resolved SPARK-14615.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12627
holdenk created SPARK-15369:
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Summary: Investigate selectively using Jython for parts of PySpark
Key: SPARK-15369
URL: https://issues.apache.org/jira/browse/SPARK-15369
Project: Spark
Issue Type:
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Xiangrui Meng updated SPARK-14615:
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Priority: Blocker (was: Major)
> Use the new ML Vector and Matrix in the ML pipeline based
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Jason Reid commented on SPARK-4105:
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FWIW - I am able to reproduce this error consistently for a job,
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Michael Armbrust updated SPARK-15367:
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Priority: Critical (was: Major)
> Add refreshTable back
> --
>
>
Dawson Choong created SPARK-15368:
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Summary: Spark History Server does not pick up extraClasspath
Key: SPARK-15368
URL: https://issues.apache.org/jira/browse/SPARK-15368
Project: Spark
Issue
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Xiao Li commented on SPARK-15367:
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: ) No problem!
> Add refreshTable back
> --
>
>
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Yin Huai commented on SPARK-15367:
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Yea. Sure. Thanks!
> Add refreshTable back
>
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Xiao Li commented on SPARK-15367:
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Not sure if anybody starts it? If not, I can work on it. Thanks!
>
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Yin Huai updated SPARK-15367:
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Description: refreshTable was a method in HiveContext. It was deleted
accidentally while we were
Yin Huai created SPARK-15367:
Summary: Add refreshTable back
Key: SPARK-15367
URL: https://issues.apache.org/jira/browse/SPARK-15367
Project: Spark
Issue Type: Bug
Components: SQL
Edgardo Vega created SPARK-15366:
Summary: Add Application Detail UI uri to Spark Json API
Key: SPARK-15366
URL: https://issues.apache.org/jira/browse/SPARK-15366
Project: Spark
Issue Type:
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saurabh paliwal commented on SPARK-15044:
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Anyway, as a work-around, I have just caught the
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https://issues.apache.org/jira/browse/SPARK-15182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-15182.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12957
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https://issues.apache.org/jira/browse/SPARK-15182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-15182:
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Assignee: yuhao yang
> Copy MLlib doc to ML: ml.feature
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https://issues.apache.org/jira/browse/SPARK-15353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15353:
Assignee: (was: Apache Spark)
> Making peer selection for block replication pluggable
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https://issues.apache.org/jira/browse/SPARK-15317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15287209#comment-15287209
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Apache Spark commented on SPARK-15317:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15317:
Assignee: (was: Apache Spark)
> JobProgressListener takes a huge amount of memory
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https://issues.apache.org/jira/browse/SPARK-15317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15317:
Assignee: Apache Spark
> JobProgressListener takes a huge amount of memory with iterative
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https://issues.apache.org/jira/browse/SPARK-15353?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15287189#comment-15287189
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Apache Spark commented on SPARK-15353:
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User 'shubhamchopra' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-15353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15353:
Assignee: Apache Spark
> Making peer selection for block replication pluggable
>
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https://issues.apache.org/jira/browse/SPARK-15357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-15357:
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Assignee: Davies Liu
> Cooperative spilling should check consumer memory mode
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https://issues.apache.org/jira/browse/SPARK-15357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15357:
Assignee: Apache Spark
> Cooperative spilling should check consumer memory mode
>
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https://issues.apache.org/jira/browse/SPARK-15357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15357:
Assignee: (was: Apache Spark)
> Cooperative spilling should check consumer memory
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https://issues.apache.org/jira/browse/SPARK-10216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-10216.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12855
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