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Wenchen Fan resolved SPARK-34701.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31933
[https://gith
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Wenchen Fan reassigned SPARK-34701:
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Assignee: Terry Kim
> Remove analyzing temp view again in CreateViewCommand
> -
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Yuming Wang commented on SPARK-34859:
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[~lxian2] Thank you for reporting this issue.
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Max Gekk resolved SPARK-34850.
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Resolution: Fixed
Issue resolved by pull request 31951
[https://github.com/apache/spark/pull/31951]
>
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Arseniy Tashoyan edited comment on SPARK-34345 at 3/25/21, 7:52 AM:
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Hyukjin Kwon resolved SPARK-34857.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31956
[https://gi
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Hyukjin Kwon reassigned SPARK-34857:
Assignee: Tim Armstrong
> AtLeastNNonNulls does not show up correctly in explain
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Cheng Su updated SPARK-34861:
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Summary: Support nested column in Spark vectorized readers (was: Support
nested column in spark vectori
Cheng Su created SPARK-34861:
Summary: Support nested column in spark vectorized reader
Key: SPARK-34861
URL: https://issues.apache.org/jira/browse/SPARK-34861
Project: Spark
Issue Type: Umbrella
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Cheng Su commented on SPARK-34861:
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Just FYI we are working on each individual tasks no
Cheng Su created SPARK-34862:
Summary: Support nested column in Spark ORC vectorized readers
Key: SPARK-34862
URL: https://issues.apache.org/jira/browse/SPARK-34862
Project: Spark
Issue Type: Sub
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Cheng Su updated SPARK-34862:
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Description:
The task is to support nested column type in Spark ORC vectorized reader.
Currently ORC ve
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Cheng Su commented on SPARK-34862:
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Just FYI I am working on it now.
> Support nested
Cheng Su created SPARK-34863:
Summary: Support nested column in Spark Parquet vectorized readers
Key: SPARK-34863
URL: https://issues.apache.org/jira/browse/SPARK-34863
Project: Spark
Issue Type:
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Cheng Su commented on SPARK-34863:
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Just FYI I am working on it now.
> Support nested
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Apache Spark reassigned SPARK-34862:
Assignee: (was: Apache Spark)
> Support nested column in Spark ORC vectorized readers
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Apache Spark reassigned SPARK-34862:
Assignee: Apache Spark
> Support nested column in Spark ORC vectorized readers
>
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Wenchen Fan resolved SPARK-30497.
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Fix Version/s: 3.1.1
Resolution: Fixed
> migrate DESCRIBE TABLE to the new framework
> --
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Apache Spark commented on SPARK-34862:
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User 'c21' has created a pull request for t
unical1988 created SPARK-34864:
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Summary: cannot resolve methods when & col in spark java
Key: SPARK-34864
URL: https://issues.apache.org/jira/browse/SPARK-34864
Project: Spark
Issue Type: Bug
unical1988 created SPARK-34865:
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Summary: cannot resolve methods when & col in spark java
Key: SPARK-34865
URL: https://issues.apache.org/jira/browse/SPARK-34865
Project: Spark
Issue Type: Bug
unical1988 created SPARK-34866:
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Summary: cannot resolve method when of Column() spark java
Key: SPARK-34866
URL: https://issues.apache.org/jira/browse/SPARK-34866
Project: Spark
Issue Type: Bug
unical1988 created SPARK-34867:
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Summary: cannot resolve method when of Column() spark java
Key: SPARK-34867
URL: https://issues.apache.org/jira/browse/SPARK-34867
Project: Spark
Issue Type: Bug
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Yuming Wang commented on SPARK-34867:
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How to reproduce this issue?
> cannot resolv
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Surendar Thina G commented on SPARK-26663:
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A similar issue is documented here,
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unical1988 commented on SPARK-34867:
{code:java}
firstDF.select(firstDeltaDF.apply("
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unical1988 edited comment on SPARK-34867 at 3/25/21, 12:30 PM:
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Max Gekk updated SPARK-34868:
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Description:
Support the divide op of year-month interval by numeric types including:
# ByteType
# Short
Max Gekk created SPARK-34868:
Summary: Divide year-month interval by numeric
Key: SPARK-34868
URL: https://issues.apache.org/jira/browse/SPARK-34868
Project: Spark
Issue Type: Sub-task
Attila Zsolt Piros created SPARK-34869:
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Summary: Extend k8s "EXTRA LOGS FOR THE FAILED TEST" section with
pod describe output
Key: SPARK-34869
URL: https://issues.apache.org/jira/browse/SPARK-34869
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Attila Zsolt Piros updated SPARK-34869:
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Description:
As came up in https://github.com/apache/spark/pull/31923#issuecomment-
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Attila Zsolt Piros updated SPARK-34869:
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Description:
As came up in https://github.com/apache/spark/pull/31923#issuecomment-8
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Attila Zsolt Piros reassigned SPARK-34869:
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Assignee: Attila Zsolt Piros
> Extend k8s "EXTRA LOGS FOR THE FAILED TEST" se
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Attila Zsolt Piros commented on SPARK-34869:
I am working on this.
> Extend
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Apache Spark commented on SPARK-34833:
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User 'cloud-fan' has created a pull request
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Apache Spark commented on SPARK-34833:
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User 'cloud-fan' has created a pull request
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Apache Spark commented on SPARK-34786:
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User 'yaooqinn' has created a pull request
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Apache Spark reassigned SPARK-34786:
Assignee: Apache Spark
> read parquet uint64 as decimal
> --
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Apache Spark reassigned SPARK-34786:
Assignee: (was: Apache Spark)
> read parquet uint64 as decimal
>
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Yuanjian Li updated SPARK-34526:
Summary: Skip checking glob path in FileStreamSink.hasMetadata (was: Add a
flag to skip checking
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Yuanjian Li updated SPARK-34526:
Description: Some users may use a very long glob path to read and
`isDirectory` may fail when the
Cory Maklin created SPARK-34870:
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Summary: Jars downloaded with the --packages argument are not
added to the classpath for executors.
Key: SPARK-34870
URL: https://issues.apache.org/jira/browse/SPARK-34870
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Apache Spark reassigned SPARK-34868:
Assignee: Apache Spark (was: Max Gekk)
> Divide year-month interval by numeric
> ---
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Apache Spark reassigned SPARK-34868:
Assignee: Max Gekk (was: Apache Spark)
> Divide year-month interval by numeric
> ---
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Apache Spark commented on SPARK-34868:
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User 'MaxGekk' has created a pull request f
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Apache Spark commented on SPARK-34868:
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User 'MaxGekk' has created a pull request f
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Cory Maklin updated SPARK-34870:
Description:
When Spark is run in local mode, it works as expected. However, when Spark is
run in
Yuanjian Li created SPARK-34871:
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Summary: Move checkpoint resolving logic to the rule
ResolveWriteToStream
Key: SPARK-34871
URL: https://issues.apache.org/jira/browse/SPARK-34871
Project: Spark
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Attila Zsolt Piros updated SPARK-34869:
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Description:
As came up in https://github.com/apache/spark/pull/31923#issuecomment-8
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Attila Zsolt Piros updated SPARK-34869:
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Summary: Extend k8s "EXTRA LOGS FOR THE FAILED TEST" section with describe
pods outp
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Apache Spark commented on SPARK-34869:
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User 'attilapiros' has created a pull reque
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Apache Spark reassigned SPARK-34869:
Assignee: Apache Spark (was: Attila Zsolt Piros)
> Extend k8s "EXTRA LOGS FOR THE FAILED
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Apache Spark reassigned SPARK-34869:
Assignee: Attila Zsolt Piros (was: Apache Spark)
> Extend k8s "EXTRA LOGS FOR THE FAILED
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Apache Spark commented on SPARK-34869:
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User 'attilapiros' has created a pull reque
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Apache Spark reassigned SPARK-34871:
Assignee: (was: Apache Spark)
> Move checkpoint resolving logic to the rule ResolveWr
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Apache Spark reassigned SPARK-34871:
Assignee: Apache Spark
> Move checkpoint resolving logic to the rule ResolveWriteToStream
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Apache Spark commented on SPARK-34871:
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User 'xuanyuanking' has created a pull requ
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Wenchen Fan reassigned SPARK-33600:
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Assignee: Karen Feng
> Group exception messages in execution/datasources/v2
> -
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Wenchen Fan resolved SPARK-33600.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31619
[https://gith
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Gengliang Wang resolved SPARK-34856.
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31954
[https:
Kousuke Saruta created SPARK-34872:
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Summary: quoteIfNeeded should quote a name which contains non-word
characters
Key: SPARK-34872
URL: https://issues.apache.org/jira/browse/SPARK-34872
Project: Spa
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Kousuke Saruta updated SPARK-34872:
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Description: quoteIfNeeded quotes a name only when it contains . (dots) or
` (backticks) but
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Apache Spark reassigned SPARK-34872:
Assignee: Apache Spark (was: Kousuke Saruta)
> quoteIfNeeded should quote a name which c
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Apache Spark reassigned SPARK-34872:
Assignee: Apache Spark (was: Kousuke Saruta)
> quoteIfNeeded should quote a name which c
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Apache Spark commented on SPARK-34872:
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User 'sarutak' has created a pull request f
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Apache Spark reassigned SPARK-34872:
Assignee: Kousuke Saruta (was: Apache Spark)
> quoteIfNeeded should quote a name which c
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Michael Chen commented on SPARK-34780:
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Np [~csun]. If the cache isn't materialized
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Cory Maklin updated SPARK-34870:
Description:
When Spark is run in local mode, it works as expected. However, when Spark is
run in
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Chao Sun commented on SPARK-34780:
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[~mikechen], yes you're right. I'm not sure if this
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Mridul Muralidharan reassigned SPARK-34840:
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Assignee: Chandni Singh
> Fix cases of corruption in merged shuffle blocks
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Mridul Muralidharan resolved SPARK-34840.
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Fix Version/s: 3.1.2
3.2.0
Resolution: Fixed
Issue res
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Dongjoon Hyun commented on SPARK-34859:
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Thank you for creating a new JIRA, [~lxia
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Jason Yarbrough updated SPARK-34843:
Summary: JDBCRelation columnPartition function improperly determines stride
size. Upper bo
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Jason Yarbrough updated SPARK-34843:
Target Version/s: 3.2.0, 3.1.2, 3.0.3
> JDBCRelation columnPartition function improperly d
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Jason Yarbrough commented on SPARK-34843:
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PR created: [Spark 34843 - JDBCRelati
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Daniel Zhi commented on SPARK-23977:
[~ste...@apache.org] How to workaround followin
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Daniel Zhi edited comment on SPARK-23977 at 3/25/21, 9:40 PM:
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Daniel Zhi edited comment on SPARK-23977 at 3/25/21, 9:41 PM:
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Daniel Zhi edited comment on SPARK-23977 at 3/25/21, 9:42 PM:
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Chenxi Zhao commented on SPARK-31754:
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I got the same issue. I was using Spark 2.4.4
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Apache Spark reassigned SPARK-34843:
Assignee: Apache Spark
> JDBCRelation columnPartition function improperly determines stri
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Apache Spark reassigned SPARK-34843:
Assignee: (was: Apache Spark)
> JDBCRelation columnPartition function improperly dete
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Chenxi Zhao edited comment on SPARK-31754 at 3/26/21, 12:08 AM:
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Takeshi Yamamuro updated SPARK-34843:
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Target Version/s: (was: 3.2.0, 3.1.2, 3.0.3)
> JDBCRelation columnPartition function i
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Takeshi Yamamuro updated SPARK-34843:
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Affects Version/s: 3.0.3
3.2.0
3.12
> JDBC
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Hyukjin Kwon resolved SPARK-34871.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31963
[https://gi
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Hyukjin Kwon reassigned SPARK-34871:
Assignee: Yuanjian Li
> Move checkpoint resolving logic to the rule ResolveWriteToStream
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https://issues.apache.org/jira/browse/SPARK-34786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kent Yao reassigned SPARK-34786:
Assignee: Kent Yao
> read parquet uint64 as decimal
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https://issues.apache.org/jira/browse/SPARK-34786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kent Yao resolved SPARK-34786.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31960
[https://github.com
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https://issues.apache.org/jira/browse/SPARK-34849?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Haejoon Lee updated SPARK-34849:
Description:
This is a SPIP for porting [Koalas
project|https://github.com/databricks/koalas] to
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https://issues.apache.org/jira/browse/SPARK-34638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17309087#comment-17309087
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Apache Spark commented on SPARK-34638:
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User 'viirya' has created a pull request fo
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https://issues.apache.org/jira/browse/SPARK-34638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-34638:
Assignee: Apache Spark
> Spark SQL reads unnecessary nested fields (another type of pruni
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https://issues.apache.org/jira/browse/SPARK-34638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-34638:
Assignee: (was: Apache Spark)
> Spark SQL reads unnecessary nested fields (another ty
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https://issues.apache.org/jira/browse/SPARK-34638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17309088#comment-17309088
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Apache Spark commented on SPARK-34638:
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User 'viirya' has created a pull request fo
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https://issues.apache.org/jira/browse/SPARK-34607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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L. C. Hsieh updated SPARK-34607:
Fix Version/s: 2.4.8
> NewInstance.resolved should not throw malformed class name error
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https://issues.apache.org/jira/browse/SPARK-34542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yuming Wang updated SPARK-34542:
Description:
Parquet-1.12.0 release notes:
https://github.com/apache/parquet-mr/blob/apache-parque
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https://issues.apache.org/jira/browse/SPARK-32855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-32855.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 29726
[https://gith
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Wenchen Fan reassigned SPARK-32855:
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Assignee: Yuming Wang
> Improve DPP for some join type do not support broadcast filtering s
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https://issues.apache.org/jira/browse/SPARK-34816?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kent Yao reassigned SPARK-34816:
Assignee: Kent Yao
> Support for Parquet unsigned LogicalTypes
>
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https://issues.apache.org/jira/browse/SPARK-34816?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kent Yao resolved SPARK-34816.
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Fix Version/s: 3.2.0
Resolution: Fixed
> Support for Parquet unsigned LogicalTypes
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