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Hyukjin Kwon resolved SPARK-36626.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33876
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Hyukjin Kwon reassigned SPARK-36626:
Assignee: Hyukjin Kwon
> Support TimestampNTZ in createDataFrame/toPandas and Python
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Hyukjin Kwon resolved SPARK-36631.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33887
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Hyukjin Kwon reassigned SPARK-36631:
Assignee: Hyukjin Kwon
> Ask users if they want to download and install SparkR in non
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Hyukjin Kwon updated SPARK-36635:
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Component/s: (was: Block Manager)
SQL
> spark-sql do NOT support that
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Hyukjin Kwon updated SPARK-36635:
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Description:
The follow statement would throw an exception.
{code:java}
sql("SELECT age as
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Hyukjin Kwon commented on SPARK-36635:
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did it work before?
> spark-sql do NOT support that
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hujiahua updated SPARK-36575:
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Description:
When a executor finished a task of some stage, the driver will receive a
`StatusUpdate`
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hujiahua updated SPARK-36575:
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Description:
When a executor finished a task of some stage, the driver will receive a
`StatusUpdate`
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Hyukjin Kwon resolved SPARK-36621.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33871
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Hyukjin Kwon reassigned SPARK-36621:
Assignee: Leona Yoda
> Add Apache license header to Pandas API on Spark userguides
>
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Haejoon Lee commented on SPARK-36438:
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I'm working on this
> Support list-like Python objects for
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hujiahua updated SPARK-36575:
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Description:
When a executor finished a task of some stage, the driver will receive a
`StatusUpdate`
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hujiahua updated SPARK-36575:
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Affects Version/s: (was: 3.1.2)
2.3.3
> Executor lost may cause spark stage
Xinrong Meng created SPARK-36648:
Summary: Implement __setitem__ of label-based MultiIndex
Key: SPARK-36648
URL: https://issues.apache.org/jira/browse/SPARK-36648
Project: Spark
Issue Type:
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Xinrong Meng updated SPARK-36628:
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Summary: Implement __getitem__ of label-based MultiIndex (was: Implement
label-based
Huaxin Gao created SPARK-36647:
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Summary: Push down filter by partition column for Aggregate
(Min/Max/Count) for Parquet
Key: SPARK-36647
URL: https://issues.apache.org/jira/browse/SPARK-36647
Project:
Huaxin Gao created SPARK-36646:
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Summary: push down group by partition column for Aggregate
(Min/Max/Count) for Parquet
Key: SPARK-36646
URL: https://issues.apache.org/jira/browse/SPARK-36646
Project:
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Apache Spark reassigned SPARK-36645:
Assignee: (was: Apache Spark)
> Aggregate (Min/Max/Count) push down for Parquet
>
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Apache Spark commented on SPARK-36645:
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User 'huaxingao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36645:
Assignee: Apache Spark
> Aggregate (Min/Max/Count) push down for Parquet
>
Huaxin Gao created SPARK-36645:
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Summary: Aggregate (Min/Max/Count) push down for Parquet
Key: SPARK-36645
URL: https://issues.apache.org/jira/browse/SPARK-36645
Project: Spark
Issue Type:
Kazuyuki Tanimura created SPARK-36644:
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Summary: Push down boolean column filter
Key: SPARK-36644
URL: https://issues.apache.org/jira/browse/SPARK-36644
Project: Spark
Issue Type:
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Kazuyuki Tanimura commented on SPARK-36644:
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I am working on this issue
> Push down boolean
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Thejdeep Gudivada commented on SPARK-36622:
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Is it possible to just use bash eval of
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Apache Spark commented on SPARK-36639:
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User 'sarutak' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36639:
Assignee: (was: Apache Spark)
> SQL sequence function with interval returns
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Apache Spark reassigned SPARK-36639:
Assignee: Apache Spark
> SQL sequence function with interval returns unexpected error in
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Chao Sun commented on SPARK-34276:
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I did some study on the code and it seems this will only affect
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Senthil Kumar updated SPARK-36643:
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Component/s: SQL
> Add more information in ERROR log while SparkConf is modified when
>
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Apache Spark commented on SPARK-36643:
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User 'senthh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36643:
Assignee: Apache Spark
> Add more information in ERROR log while SparkConf is modified
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Apache Spark commented on SPARK-36643:
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User 'senthh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36643:
Assignee: (was: Apache Spark)
> Add more information in ERROR log while SparkConf is
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Senthil Kumar edited comment on SPARK-36643 at 9/1/21, 5:20 PM:
New
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Senthil Kumar commented on SPARK-36643:
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New ERROR message will be as below,
{code:java}
scala>
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Senthil Kumar commented on SPARK-36643:
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Creating PR for this
> Add more information in ERROR log
Senthil Kumar created SPARK-36643:
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Summary: Add more information in ERROR log while SparkConf is
modified when spark.sql.legacy.setCommandRejectsSparkCoreConfs is set
Key: SPARK-36643
URL:
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Kousuke Saruta commented on SPARK-36639:
[~amstel8] Thank you for reporting. SPARK-31980 seems
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Apache Spark commented on SPARK-36642:
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User 'liangz1' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17408254#comment-17408254
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Apache Spark commented on SPARK-36642:
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User 'liangz1' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36642:
Assignee: Apache Spark
> Add df.withMetadata: a syntax suger to update the metadata of a
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Apache Spark reassigned SPARK-36642:
Assignee: (was: Apache Spark)
> Add df.withMetadata: a syntax suger to update the
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Wenchen Fan updated SPARK-36641:
Description: In Data Source V2 APIs, we kind of need to fork the catalyst
Expressions and create
Liang Zhang created SPARK-36642:
---
Summary: Add df.withMetadata: a syntax suger to update the
metadata of a dataframe
Key: SPARK-36642
URL: https://issues.apache.org/jira/browse/SPARK-36642
Project:
Wenchen Fan created SPARK-36641:
---
Summary: Support using SQL string as a general Data Source V2
Expression
Key: SPARK-36641
URL: https://issues.apache.org/jira/browse/SPARK-36641
Project: Spark
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Wenchen Fan updated SPARK-36640:
Description: As of Spark 3.2, we have DS v2 pushdown APIs for Filter,
Aggregate, and column
Wenchen Fan created SPARK-36640:
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Summary: More operator pushdown API in Data Source V2
Key: SPARK-36640
URL: https://issues.apache.org/jira/browse/SPARK-36640
Project: Spark
Issue Type:
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Dongjoon Hyun updated SPARK-34651:
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Labels: releasenotes (was: )
> Improve ZSTD support
>
>
>
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Dongjoon Hyun resolved SPARK-34651.
---
Fix Version/s: 3.2.0
Resolution: Fixed
> Improve ZSTD support
>
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Dongjoon Hyun updated SPARK-36629:
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Parent: SPARK-34651
Issue Type: Sub-task (was: Bug)
> Upgrade aircompressor to 1.21
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Dongjoon Hyun updated SPARK-35181:
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Parent: (was: SPARK-34651)
Issue Type: Improvement (was: Sub-task)
> Use zstd
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Apache Spark reassigned SPARK-36638:
Assignee: Apache Spark
> Generalize OptimizeSkewedJoin
> -
>
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Apache Spark reassigned SPARK-36638:
Assignee: (was: Apache Spark)
> Generalize OptimizeSkewedJoin
>
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Apache Spark commented on SPARK-36638:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark commented on SPARK-36638:
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User 'zhengruifeng' has created a pull request for this
Ignatiy Vdovichenko created SPARK-36639:
---
Summary: SQL sequence function with interval returns unexpected
error in latest versions
Key: SPARK-36639
URL: https://issues.apache.org/jira/browse/SPARK-36639
zhengruifeng created SPARK-36638:
Summary: Generalize OptimizeSkewedJoin
Key: SPARK-36638
URL: https://issues.apache.org/jira/browse/SPARK-36638
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-36637:
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User 'AngersZh' has created a pull request for this
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Apache Spark commented on SPARK-36637:
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User 'AngersZh' has created a pull request for this
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Apache Spark reassigned SPARK-36637:
Assignee: Apache Spark
> Bad error message when using non-existing named window
>
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Apache Spark reassigned SPARK-36637:
Assignee: (was: Apache Spark)
> Bad error message when using non-existing named
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jiaan.geng updated SPARK-36633:
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Comment: was deleted
(was: I'm working on.)
> DivideDTInterval should consider ansi mode.
>
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Apache Spark commented on SPARK-36633:
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User 'beliefer' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36633:
Assignee: (was: Apache Spark)
> DivideDTInterval should consider ansi mode.
>
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Apache Spark commented on SPARK-36633:
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User 'beliefer' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36633:
Assignee: Apache Spark
> DivideDTInterval should consider ansi mode.
>
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jiaan.geng updated SPARK-36632:
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Comment: was deleted
(was: I'm working on.)
> DivideYMInterval should consider ansi mode.
>
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Apache Spark reassigned SPARK-36442:
Assignee: (was: Apache Spark)
> Do not reference the deprecated
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Apache Spark commented on SPARK-36442:
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User 'yutoacts' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36442:
Assignee: Apache Spark
> Do not reference the deprecated UserDefinedAggregateFunction
>
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Apache Spark commented on SPARK-36632:
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User 'beliefer' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36632:
Assignee: (was: Apache Spark)
> DivideYMInterval should consider ansi mode.
>
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Apache Spark reassigned SPARK-36632:
Assignee: Apache Spark
> DivideYMInterval should consider ansi mode.
>
Wenchen Fan created SPARK-36637:
---
Summary: Bad error message when using non-existing named window
Key: SPARK-36637
URL: https://issues.apache.org/jira/browse/SPARK-36637
Project: Spark
Issue
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Gabor Szadovszky commented on SPARK-34276:
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[~csun], any application is using parquet-mr 1.12.0
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Apache Spark commented on SPARK-36634:
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User 'yaooqinn' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36634:
Assignee: (was: Apache Spark)
> Support access and read parquet file by column index
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Apache Spark reassigned SPARK-36634:
Assignee: Apache Spark
> Support access and read parquet file by column index
>
Yang Jie created SPARK-36636:
Summary: SparkContextSuite random failure in Scala 2.13
Key: SPARK-36636
URL: https://issues.apache.org/jira/browse/SPARK-36636
Project: Spark
Issue Type: Sub-task
weixiuli created SPARK-36635:
Summary: spark-sql do NOT support that select name expression as
string type now
Key: SPARK-36635
URL: https://issues.apache.org/jira/browse/SPARK-36635
Project: Spark
Kent Yao created SPARK-36634:
Summary: Support access and read parquet file by column index
Key: SPARK-36634
URL: https://issues.apache.org/jira/browse/SPARK-36634
Project: Spark
Issue Type:
jiaan.geng created SPARK-36633:
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Summary: DivideDTInterval should consider ansi mode.
Key: SPARK-36633
URL: https://issues.apache.org/jira/browse/SPARK-36633
Project: Spark
Issue Type: Sub-task
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jiaan.geng updated SPARK-36632:
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Description: DivideYMInterval not consider the ansi mode, we should support
it. (was:
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jiaan.geng commented on SPARK-36633:
I'm working on.
> DivideDTInterval should consider ansi mode.
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jiaan.geng updated SPARK-36632:
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Summary: DivideYMInterval should consider ansi mode. (was: DivideInterval
should consider ansi
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Apache Spark commented on SPARK-36631:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-36631:
Assignee: (was: Apache Spark)
> Ask users if they want to download and install
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Apache Spark commented on SPARK-36631:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-36631:
Assignee: Apache Spark
> Ask users if they want to download and install SparkR in non
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https://issues.apache.org/jira/browse/SPARK-36630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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gaoyajun02 updated SPARK-36630:
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Description: Currently when AQE's queryStage is not materialized, it uses
the stats of the logical
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https://issues.apache.org/jira/browse/SPARK-36604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36604:
Assignee: Apache Spark
> timestamp type column analyze result is wrong
>
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https://issues.apache.org/jira/browse/SPARK-36604?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17407918#comment-17407918
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Apache Spark commented on SPARK-36604:
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User 'fhygh' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36604:
Assignee: (was: Apache Spark)
> timestamp type column analyze result is wrong
>
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https://issues.apache.org/jira/browse/SPARK-36400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17407915#comment-17407915
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Apache Spark commented on SPARK-36400:
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User 'sarutak' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36575:
Assignee: (was: Apache Spark)
> Executor lost may cause spark stage to hang
>
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https://issues.apache.org/jira/browse/SPARK-36575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36575:
Assignee: Apache Spark
> Executor lost may cause spark stage to hang
>
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https://issues.apache.org/jira/browse/SPARK-36575?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17407894#comment-17407894
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Apache Spark commented on SPARK-36575:
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User 'sleep1661' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-36632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17407885#comment-17407885
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jiaan.geng commented on SPARK-36632:
I'm working on.
> DivideInterval should consider ansi mode.
>
jiaan.geng created SPARK-36632:
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Summary: DivideInterval should consider ansi mode.
Key: SPARK-36632
URL: https://issues.apache.org/jira/browse/SPARK-36632
Project: Spark
Issue Type: Sub-task
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