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Apache Spark commented on SPARK-31612:
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User 'huaxingao' has created a pull request
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Apache Spark commented on SPARK-31612:
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User 'huaxingao' has created a pull request
Yuming Wang created SPARK-31620:
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Summary: TreeNodeException: Binding attribute, tree: sum#19L
Key: SPARK-31620
URL: https://issues.apache.org/jira/browse/SPARK-31620
Project: Spark
Issue Type:
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Wenchen Fan resolved SPARK-29701.
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Resolution: Won't Fix
> Different answers when empty input given in GROUPING SETS
>
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Apache Spark reassigned SPARK-31447:
Assignee: (was: Apache Spark)
> DATE_PART functions produces incorrect result
> -
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Apache Spark reassigned SPARK-31447:
Assignee: Apache Spark
> DATE_PART functions produces incorrect result
>
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Apache Spark commented on SPARK-31372:
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User 'maropu' has created a pull request fo
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https://issues.apache.org/jira/browse/SPARK-31619?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-31619.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 28426
[https://gi
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Sean R. Owen commented on SPARK-29292:
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Yep it is going to be a quite large interna
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Takeshi Yamamuro reopened SPARK-23172:
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> Expand the ReorderJoin rule to handle Project nodes
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Takeshi Yamamuro resolved SPARK-23172.
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Resolution: Won't Fix
> Expand the ReorderJoin rule to handle Project nodes
>
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Apache Spark reassigned SPARK-20629:
Assignee: Apache Spark
> Copy shuffle data when nodes are being shut down
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Apache Spark reassigned SPARK-20629:
Assignee: (was: Apache Spark)
> Copy shuffle data when nodes are being shut down
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Apache Spark commented on SPARK-20629:
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User 'holdenk' has created a pull request f
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https://issues.apache.org/jira/browse/SPARK-31549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-31549.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 28395
[https://gi
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Hyukjin Kwon reassigned SPARK-31549:
Assignee: Weichen Xu
> Pyspark SparkContext.cancelJobGroup do not work correctly
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Dongjoon Hyun commented on SPARK-31500:
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I checked the following code snippet from
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Dongjoon Hyun updated SPARK-31500:
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Labels: correctness (was: )
> collect_set() of BinaryType returns duplicate elements
> --
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Dongjoon Hyun updated SPARK-31500:
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Affects Version/s: 2.1.3
> collect_set() of BinaryType returns duplicate elements
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Dongjoon Hyun updated SPARK-31500:
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Affects Version/s: 2.0.2
> collect_set() of BinaryType returns duplicate elements
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Dongjoon Hyun updated SPARK-31500:
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Affects Version/s: 2.2.3
> collect_set() of BinaryType returns duplicate elements
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Dongjoon Hyun updated SPARK-31500:
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Affects Version/s: 2.3.4
> collect_set() of BinaryType returns duplicate elements
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Dongjoon Hyun updated SPARK-31500:
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Affects Version/s: (was: 2.4.4)
> collect_set() of BinaryType returns duplicate elements
>
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Dongjoon Hyun resolved SPARK-31616.
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Resolution: Duplicate
> Add partition event listener in ExternalCatalogWithListener
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Apache Spark reassigned SPARK-31619:
Assignee: Apache Spark (was: Xingbo Jiang)
> Rename config name "spark.dynamicAllocation
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Apache Spark commented on SPARK-31619:
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User 'jiangxb1987' has created a pull reque
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Apache Spark reassigned SPARK-31619:
Assignee: Xingbo Jiang (was: Apache Spark)
> Rename config name "spark.dynamicAllocation
Xingbo Jiang created SPARK-31619:
Summary: Rename config name
"spark.dynamicAllocation.shuffleTimeout" to
"spark.dynamicAllocation.shuffleTracking.timeout"
Key: SPARK-31619
URL: https://issues.apache.org/jira/bro
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Huaxin Gao commented on SPARK-31612:
Check the following things in SQL Reference and
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Takeshi Yamamuro resolved SPARK-31612.
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Fix Version/s: 3.0.0
Assignee: Huaxin Gao
Resolution: Fixed
Resolved b
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Dongjoon Hyun commented on SPARK-29048:
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BTW, this was merged and reverted for `3.
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Dongjoon Hyun commented on SPARK-29048:
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This caused a correctness issue, SPARK-31
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Dongjoon Hyun updated SPARK-29048:
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Target Version/s: (was: 2.4.6)
> Query optimizer slow when using Column.isInCollection() wit
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Apache Spark commented on SPARK-31480:
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User 'dilipbiswal' has created a pull reque
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Apache Spark reassigned SPARK-31480:
Assignee: (was: Apache Spark)
> Improve the EXPLAIN FORMATTED's output for DSV2's Sca
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Apache Spark commented on SPARK-31480:
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User 'dilipbiswal' has created a pull reque
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Apache Spark reassigned SPARK-31480:
Assignee: Apache Spark
> Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node
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Guillaume Martres commented on SPARK-29292:
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If it's immutable it's fine yeah,
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Sean R. Owen commented on SPARK-29292:
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Heh, congratulations, it is going to be a h
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Guillaume Martres commented on SPARK-29292:
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Thanks [~srowen], I got spark to
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Guillaume Martres edited comment on SPARK-29292 at 4/30/20, 6:47 PM:
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Guillaume Martres commented on SPARK-25075:
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Based on [~srowen]'s branch from
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Baohe Zhang updated SPARK-31608:
Description:
This is a follow-up for the work done by Hieu Huynh in 2019.
Add a new class HybridK
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Apache Spark reassigned SPARK-30865:
Assignee: (was: Apache Spark)
> Refactor DateTimeUtils
> --
>
>
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Apache Spark reassigned SPARK-30865:
Assignee: Apache Spark
> Refactor DateTimeUtils
> --
>
>
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Pablo Langa Blanco commented on SPARK-31574:
Spark have a functionality to r
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Apache Spark reassigned SPARK-31357:
Assignee: Apache Spark
> SPIP: Catalog API for view metadata
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Apache Spark commented on SPARK-31517:
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User 'MichaelChirico' has created a pull re
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Apache Spark reassigned SPARK-31590:
Assignee: (was: Apache Spark)
> The filter used by Metadata-only queries should not h
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Apache Spark reassigned SPARK-31517:
Assignee: Apache Spark
> SparkR::orderBy with multiple columns descending produces error
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Apache Spark reassigned SPARK-31517:
Assignee: (was: Apache Spark)
> SparkR::orderBy with multiple columns descending prod
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Apache Spark commented on SPARK-31593:
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User 'uncleGen' has created a pull request
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Apache Spark reassigned SPARK-31571:
Assignee: Apache Spark
> don't use stop(paste to build R errors
> ---
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Apache Spark commented on SPARK-31609:
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User 'huaxingao' has created a pull request
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Apache Spark reassigned SPARK-31603:
Assignee: Apache Spark
> AFT uses common functions in RDDLossFunction
> -
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Apache Spark commented on SPARK-31571:
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User 'MichaelChirico' has created a pull re
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Apache Spark reassigned SPARK-31571:
Assignee: (was: Apache Spark)
> don't use stop(paste to build R errors
>
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Apache Spark reassigned SPARK-31603:
Assignee: (was: Apache Spark)
> AFT uses common functions in RDDLossFunction
> --
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Apache Spark reassigned SPARK-31609:
Assignee: (was: Apache Spark)
> Add VarianceThresholdSelector to PySpark
> --
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Apache Spark commented on SPARK-31603:
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User 'zhengruifeng' has created a pull requ
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Apache Spark reassigned SPARK-31609:
Assignee: Apache Spark
> Add VarianceThresholdSelector to PySpark
> -
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Apache Spark commented on SPARK-31570:
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User 'MichaelChirico' has created a pull re
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Apache Spark commented on SPARK-27188:
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User 'HeartSaVioR' has created a pull reque
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Apache Spark reassigned SPARK-31593:
Assignee: Apache Spark
> Remove unnecessary streaming query progress update
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Apache Spark commented on SPARK-31590:
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User 'cxzl25' has created a pull request fo
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Apache Spark reassigned SPARK-31570:
Assignee: Apache Spark
> gapply and dapply docs should be more aligned, possibly combined
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Apache Spark reassigned SPARK-31566:
Assignee: Apache Spark
> Add SQL Rest API Documentation
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Apache Spark reassigned SPARK-31566:
Assignee: (was: Apache Spark)
> Add SQL Rest API Documentation
>
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Apache Spark commented on SPARK-31566:
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User 'erenavsarogullari' has created a pull
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Apache Spark commented on SPARK-26199:
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User 'MichaelChirico' has created a pull re
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Apache Spark reassigned SPARK-31570:
Assignee: (was: Apache Spark)
> gapply and dapply docs should be more aligned, possib
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Apache Spark reassigned SPARK-31590:
Assignee: Apache Spark
> The filter used by Metadata-only queries should not have Unevalu
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Apache Spark reassigned SPARK-31593:
Assignee: (was: Apache Spark)
> Remove unnecessary streaming query progress update
>
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Apache Spark reassigned SPARK-31592:
Assignee: Apache Spark
> bufferPoolsBySize in HeapMemoryAllocator should be thread safe
>
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Apache Spark reassigned SPARK-31575:
Assignee: (was: Apache Spark)
> Synchronise global JVM security configuration modific
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Apache Spark reassigned SPARK-31365:
Assignee: (was: Apache Spark)
> Enable nested predicate pushdown per data sources
> -
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Apache Spark commented on SPARK-31575:
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User 'gaborgsomogyi' has created a pull req
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Apache Spark commented on SPARK-31365:
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User 'viirya' has created a pull request fo
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Apache Spark commented on SPARK-31592:
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User 'fanyunbojerry' has created a pull req
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Apache Spark reassigned SPARK-31592:
Assignee: (was: Apache Spark)
> bufferPoolsBySize in HeapMemoryAllocator should be th
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Apache Spark reassigned SPARK-31365:
Assignee: Apache Spark
> Enable nested predicate pushdown per data sources
>
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Apache Spark reassigned SPARK-31575:
Assignee: Apache Spark
> Synchronise global JVM security configuration modification
> ---
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Apache Spark reassigned SPARK-31268:
Assignee: Apache Spark
> TaskEnd event with zero Executor Metrics when task duration less
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Apache Spark reassigned SPARK-31334:
Assignee: Apache Spark
> Use agg column in Having clause behave different with column typ
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Apache Spark reassigned SPARK-31226:
Assignee: (was: Apache Spark)
> SizeBasedCoalesce logic error
> -
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Apache Spark reassigned SPARK-31106:
Assignee: Apache Spark
> Support is_json function
>
>
>
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https://issues.apache.org/jira/browse/SPARK-31220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31220:
Assignee: (was: Apache Spark)
> repartition obeys spark.sql.adaptive.coalescePartitio
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https://issues.apache.org/jira/browse/SPARK-31154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31154:
Assignee: Apache Spark
> Expose basic write metrics for InsertIntoDataSourceCommand
> ---
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https://issues.apache.org/jira/browse/SPARK-31335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31335:
Assignee: (was: Apache Spark)
> Add try function support
>
>
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https://issues.apache.org/jira/browse/SPARK-31154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31154:
Assignee: (was: Apache Spark)
> Expose basic write metrics for InsertIntoDataSourceCo
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https://issues.apache.org/jira/browse/SPARK-31268?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31268:
Assignee: (was: Apache Spark)
> TaskEnd event with zero Executor Metrics when task du
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https://issues.apache.org/jira/browse/SPARK-31363?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31363:
Assignee: (was: Apache Spark)
> Improve DataSourceRegister interface
> --
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https://issues.apache.org/jira/browse/SPARK-31255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31255:
Assignee: Apache Spark
> DataSourceV2: Add metadata columns
> ---
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https://issues.apache.org/jira/browse/SPARK-31334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31334:
Assignee: (was: Apache Spark)
> Use agg column in Having clause behave different with
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https://issues.apache.org/jira/browse/SPARK-31255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31255:
Assignee: (was: Apache Spark)
> DataSourceV2: Add metadata columns
>
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https://issues.apache.org/jira/browse/SPARK-30996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-30996:
Assignee: Apache Spark
> Able to write parquet file subsequently unable to read
> ---
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https://issues.apache.org/jira/browse/SPARK-31289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31289:
Assignee: (was: Apache Spark)
> Flaky test: org.apache.spark.sql.hive.thriftserver.Cl
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https://issues.apache.org/jira/browse/SPARK-31220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31220:
Assignee: Apache Spark
> repartition obeys spark.sql.adaptive.coalescePartitions.initialP
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https://issues.apache.org/jira/browse/SPARK-26341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26341:
Assignee: Apache Spark
> Expose executor memory metrics at the stage level, in the Stages
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https://issues.apache.org/jira/browse/SPARK-31354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-31354:
Assignee: Apache Spark
> SparkSession Lifecycle methods to fix memory leak
>
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