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Hyukjin Kwon updated SPARK-24976:
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Summary: Allow None for Decimal type conversion (specific to PyArrow 0.9.0)
(was: Allow None
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Apache Spark reassigned SPARK-24976:
Assignee: Apache Spark
> Allow None for Decimal type conversion (specific to Arrow
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Apache Spark reassigned SPARK-24976:
Assignee: (was: Apache Spark)
> Allow None for Decimal type conversion (specific to
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Apache Spark commented on SPARK-24976:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24930?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-24930:
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Due Date: (was: 26/Jul/18)
Affects Version/s: (was: 2.2.1)
Hyukjin Kwon created SPARK-24976:
Summary: Allow None for Decimal type conversion (specific to Arrow
0.9.0)
Key: SPARK-24976
URL: https://issues.apache.org/jira/browse/SPARK-24976
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-23334:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-22216
> Fix pandas_udf with return type
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Apache Spark reassigned SPARK-24820:
Assignee: (was: Apache Spark)
> Fail fast when submitted job contains
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Apache Spark commented on SPARK-24820:
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User 'jiangxb1987' has created a pull request for this
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Apache Spark reassigned SPARK-24820:
Assignee: Apache Spark
> Fail fast when submitted job contains PartitionPruningRDD in a
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https://issues.apache.org/jira/browse/SPARK-24946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16563052#comment-16563052
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Hyukjin Kwon commented on SPARK-24946:
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Hmmm. mind if I ask a discussion in dev mailing list after
shanyu zhao created SPARK-24975:
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Summary: Spark history server REST API /api/v1/version returns
error 404
Key: SPARK-24975
URL: https://issues.apache.org/jira/browse/SPARK-24975
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-23633.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21887
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Hyukjin Kwon reassigned SPARK-23633:
Assignee: Li Jin
> Update Pandas UDFs section in sql-programming-guide
>
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Yuming Wang updated SPARK-24937:
Summary: Datasource partition table should load empty static partitions
(was: Datasource
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Wenchen Fan updated SPARK-24882:
Description:
Data source V2 is out for a while, see the SPIP
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Wenchen Fan updated SPARK-24882:
Description:
Data source V2 is out for a while, see the SPIP
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Wenchen Fan updated SPARK-24882:
Summary: data source v2 API improvement (was: separate responsibilities of
the data source v2
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https://issues.apache.org/jira/browse/SPARK-24952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-24952:
Assignee: Maxim Gekk
> Support LZMA2 compression by Avro datasource
>
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Hyukjin Kwon resolved SPARK-24952.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21902
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Apache Spark reassigned SPARK-24972:
Assignee: Apache Spark
> PivotFirst could not handle pivot columns of complex types
>
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Apache Spark commented on SPARK-24972:
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User 'maryannxue' has created a pull request for this
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Apache Spark reassigned SPARK-24972:
Assignee: (was: Apache Spark)
> PivotFirst could not handle pivot columns of complex
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https://issues.apache.org/jira/browse/SPARK-24579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16562638#comment-16562638
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holdenk commented on SPARK-24579:
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[~mengxr]How about you just open comments up in general and then turn
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https://issues.apache.org/jira/browse/SPARK-15516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16562632#comment-16562632
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koert kuipers commented on SPARK-15516:
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we also ran into this on columns that are not key
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Apache Spark reassigned SPARK-24973:
Assignee: Apache Spark
> Add numIter to Python ClusteringSummary
>
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Apache Spark reassigned SPARK-24973:
Assignee: (was: Apache Spark)
> Add numIter to Python ClusteringSummary
>
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Apache Spark commented on SPARK-24973:
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User 'huaxingao' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
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https://issues.apache.org/jira/browse/SPARK-24974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
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https://issues.apache.org/jira/browse/SPARK-24974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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andrzej.stankev...@gmail.com updated SPARK-24974:
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Description:
SharedInMemoryCache has all filestatus no matter
andrzej.stankev...@gmail.com created SPARK-24974:
Summary: Spark put all file's paths into SharedInMemoryCache even
for unused partitions.
Key: SPARK-24974
URL:
Huaxin Gao created SPARK-24973:
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Summary: Add numIter to Python ClusteringSummary
Key: SPARK-24973
URL: https://issues.apache.org/jira/browse/SPARK-24973
Project: Spark
Issue Type: Improvement
Maryann Xue created SPARK-24972:
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Summary: PivotFirst could not handle pivot columns of complex types
Key: SPARK-24972
URL: https://issues.apache.org/jira/browse/SPARK-24972
Project: Spark
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Apache Spark commented on SPARK-24963:
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User 'mccheah' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16562521#comment-16562521
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Apache Spark commented on SPARK-24918:
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User 'squito' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24918:
Assignee: (was: Apache Spark)
> Executor Plugin API
> ---
>
>
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Apache Spark reassigned SPARK-24918:
Assignee: Apache Spark
> Executor Plugin API
> ---
>
>
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Quentin Ambard commented on SPARK-24720:
Something is wrong with the way the consumers are
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Markus Breuer commented on SPARK-24961:
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I think it is an issue and I explained why. But I also
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Matt Cheah resolved SPARK-24963.
Resolution: Fixed
Fix Version/s: 2.4.0
> Integration tests will fail if they run in a
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Apache Spark commented on SPARK-24963:
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User 'mccheah' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24963?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24963:
Assignee: (was: Apache Spark)
> Integration tests will fail if they run in a
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Apache Spark reassigned SPARK-24963:
Assignee: Apache Spark
> Integration tests will fail if they run in a namespace not
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https://issues.apache.org/jira/browse/SPARK-24971?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24971:
Assignee: Wenchen Fan (was: Apache Spark)
> remove SupportsDeprecatedScanRow
>
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Apache Spark commented on SPARK-24971:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24971?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24971:
Assignee: Apache Spark (was: Wenchen Fan)
> remove SupportsDeprecatedScanRow
>
Wenchen Fan created SPARK-24971:
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Summary: remove SupportsDeprecatedScanRow
Key: SPARK-24971
URL: https://issues.apache.org/jira/browse/SPARK-24971
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-24956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16562141#comment-16562141
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Apache Spark commented on SPARK-24956:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-24934:
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Affects Version/s: 2.3.1
> Complex type and binary type in in-memory partition pruning does not
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Hyukjin Kwon commented on SPARK-24934:
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I think this has been a bug from the first place. It at
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Wenchen Fan commented on SPARK-24882:
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[~rdblue] I do agree that creating a catalog via reflection
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Ryan Blue edited comment on SPARK-24882 at 7/30/18 4:02 PM:
[~cloud_fan],
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Ryan Blue commented on SPARK-24882:
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[~cloud_fan], when you say that "ReadSupport is created via
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Apache Spark reassigned SPARK-24933:
Assignee: (was: Apache Spark)
> SinkProgress should report written rows
>
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Apache Spark commented on SPARK-24933:
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User 'vackosar' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24933:
Assignee: Apache Spark
> SinkProgress should report written rows
>
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https://issues.apache.org/jira/browse/SPARK-24821?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24821:
Assignee: (was: Apache Spark)
> Fail fast when submitted job compute on a subset of
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https://issues.apache.org/jira/browse/SPARK-24821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16562031#comment-16562031
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Apache Spark commented on SPARK-24821:
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User 'jiangxb1987' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24821?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24821:
Assignee: Apache Spark
> Fail fast when submitted job compute on a subset of all the
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https://issues.apache.org/jira/browse/SPARK-24720?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24720:
Assignee: Apache Spark
> kafka transaction creates Non-consecutive Offsets (due to
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Apache Spark commented on SPARK-24720:
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User 'QuentinAmbard' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24720?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24720:
Assignee: (was: Apache Spark)
> kafka transaction creates Non-consecutive Offsets
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https://issues.apache.org/jira/browse/SPARK-24958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24958:
Assignee: Apache Spark
> Report executors' process tree total memory information to
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https://issues.apache.org/jira/browse/SPARK-24958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16561990#comment-16561990
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Apache Spark commented on SPARK-24958:
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User 'rezasafi' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24958:
Assignee: (was: Apache Spark)
> Report executors' process tree total memory
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https://issues.apache.org/jira/browse/SPARK-24582?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jiang Xingbo resolved SPARK-24582.
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Resolution: Fixed
> Design: Barrier execution mode
> --
>
>
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Jiang Xingbo resolved SPARK-24581.
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Resolution: Fixed
> Design: BarrierTaskContext.barrier()
>
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Xiao Li resolved SPARK-22814.
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Resolution: Fixed
Assignee: Takeshi Yamamuro
Fix Version/s: 2.4.0
> JDBC support
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Apache Spark reassigned SPARK-24954:
Assignee: (was: Apache Spark)
> Fail fast on job submit if run a barrier stage with
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Apache Spark commented on SPARK-24954:
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User 'jiangxb1987' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24954:
Assignee: Apache Spark
> Fail fast on job submit if run a barrier stage with dynamic
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https://issues.apache.org/jira/browse/SPARK-24771?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-24771.
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Resolution: Fixed
Assignee: Gengliang Wang
Fix Version/s: 2.4.0
> Upgrade AVRO version
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Apache Spark commented on SPARK-24965:
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User 'krisgeus' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24965:
Assignee: Apache Spark
> Spark SQL fails when reading a partitioned hive table with
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Apache Spark reassigned SPARK-24965:
Assignee: (was: Apache Spark)
> Spark SQL fails when reading a partitioned hive
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https://issues.apache.org/jira/browse/SPARK-24934?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16561944#comment-16561944
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Thomas Graves commented on SPARK-24934:
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what is the real affected versions here? Since it went
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bruce_zhao updated SPARK-24970:
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Description:
We're using Spark streaming to consume Kinesis data, and found that it reads
more
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Wenchen Fan reassigned SPARK-24967:
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Assignee: Hyukjin Kwon
> Use internal.Logging instead for logging
>
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Wenchen Fan resolved SPARK-24967.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21914
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https://issues.apache.org/jira/browse/SPARK-24957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-24957.
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Resolution: Fixed
Fix Version/s: 2.3.2
2.4.0
Issue resolved by pull
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Wenchen Fan reassigned SPARK-24957:
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Assignee: Marco Gaido
> Decimal arithmetic can lead to wrong values using codegen
>
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Wenchen Fan updated SPARK-24957:
Labels: correctness (was: )
> Decimal arithmetic can lead to wrong values using codegen
>
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Jackey Lee edited comment on SPARK-24630 at 7/30/18 11:38 AM:
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For Stream
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Jackey Lee commented on SPARK-24630:
For Stream Table DDL，we have a better way to deal with(such as
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Genmao Yu edited comment on SPARK-24630 at 7/30/18 11:27 AM:
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Practice to
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https://issues.apache.org/jira/browse/SPARK-24946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16561784#comment-16561784
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Paul Westenthanner commented on SPARK-24946:
Yes I agree that it's rather sugar than
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https://issues.apache.org/jira/browse/SPARK-24970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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bruce_zhao updated SPARK-24970:
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Description:
We're using Spark streaming to consume Kinesis data, and found that it reads
more
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bruce_zhao updated SPARK-24970:
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Description:
We're using Spark streaming to consume Kinesis data, and found that it reads
more
bruce_zhao created SPARK-24970:
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Summary: Spark Kinesis streaming application fails to recover from
streaming checkpoint due to ProvisionedThroughputExceededException
Key: SPARK-24970
URL:
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Genmao Yu updated SPARK-24630:
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Attachment: (was: image-2018-07-30-18-48-38-352.png)
> SPIP: Support SQLStreaming in Spark
>
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Genmao Yu updated SPARK-24630:
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Attachment: (was: image-2018-07-30-18-06-30-506.png)
> SPIP: Support SQLStreaming in Spark
>
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Genmao Yu edited comment on SPARK-24630 at 7/30/18 10:53 AM:
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Try to add the
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Genmao Yu commented on SPARK-24630:
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Try to add the StreamSQL DDL, like this:
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Genmao Yu updated SPARK-24630:
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Attachment: image-2018-07-30-18-48-38-352.png
> SPIP: Support SQLStreaming in Spark
>
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Genmao Yu updated SPARK-24630:
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Attachment: image-2018-07-30-18-06-30-506.png
> SPIP: Support SQLStreaming in Spark
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