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Apache Spark commented on SPARK-41389:
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User 'LuciferYang' has created a pull request for this
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Apache Spark reassigned SPARK-41389:
Assignee: Apache Spark
> Reuse `WRONG_NUM_ARGS` instead of `_LEGACY_ERROR_TEMP_1043` and
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Apache Spark reassigned SPARK-41389:
Assignee: (was: Apache Spark)
> Reuse `WRONG_NUM_ARGS` instead of
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Wenchen Fan resolved SPARK-41355.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38765
Yang Jie created SPARK-41389:
Summary: Reuse `WRONG_NUM_ARGS` instead of
`_LEGACY_ERROR_TEMP_1043` and `_LEGACY_ERROR_TEMP_1044`
Key: SPARK-41389
URL: https://issues.apache.org/jira/browse/SPARK-41389
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Wenchen Fan reassigned SPARK-41355:
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Assignee: Wan Kun
> Workaround hive table name validation issue
>
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Dongjoon Hyun reassigned SPARK-41388:
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Assignee: Dongjoon Hyun
> getReusablePVCs should ignore recently created PVCs in the
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Sean R. Owen updated SPARK-40141:
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Priority: Minor (was: Major)
> Task listener overloads no longer needed with JDK 8+
>
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Max Gekk resolved SPARK-41389.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38913
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Max Gekk reassigned SPARK-41389:
Assignee: Yang Jie
> Reuse `WRONG_NUM_ARGS` instead of `_LEGACY_ERROR_TEMP_1044`
>
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Yang Jie commented on SPARK-41392:
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Can you give the complete compilation command and the compilation
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Sean R. Owen commented on SPARK-41008:
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No need for an option, this seems like a bug fix. Yes if
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Sean R. Owen resolved SPARK-36853.
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Resolution: Won't Fix
> Code failing on checkstyle
> --
>
>
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Ahmed Mahran commented on SPARK-41008:
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Thanks, I'll manage to have a PR in a couple of days.
>
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Sean R. Owen resolved SPARK-40253.
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Resolution: Won't Fix
> Data read exception in orc format
>
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Sean R. Owen resolved SPARK-40286.
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Resolution: Not A Problem
> Load Data from S3 deletes data source file
>
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Sean R. Owen resolved SPARK-40642.
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Resolution: Won't Fix
> wrong doc on memory tuning regarding String object memory size,
Steve Loughran created SPARK-41392:
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Summary: spark builds against hadoop trunk/3.4.0-SNAPSHOT fail in
scala-maven plugin
Key: SPARK-41392
URL: https://issues.apache.org/jira/browse/SPARK-41392
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Maziyar PANAHI commented on SPARK-32530:
Not sure if this matters, but as a Scala developer
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Yuming Wang reassigned SPARK-41167:
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Assignee: Wan Kun
> Optimize LikeSimplification rule to improve multi like performance
>
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Yuming Wang resolved SPARK-41167.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38682
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Sean R. Owen resolved SPARK-40141.
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Resolution: Won't Fix
> Task listener overloads no longer needed with JDK 8+
>
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https://issues.apache.org/jira/browse/SPARK-39948?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen resolved SPARK-39948.
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Resolution: Not A Problem
> exclude velocity 1.5 jar
>
>
>
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Sean R. Owen resolved SPARK-40284.
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Resolution: Not A Problem
> spark concurrent overwrite mode writes data to files in HDFS
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Apache Spark commented on SPARK-41393:
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User 'LuciferYang' has created a pull request for this
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Apache Spark reassigned SPARK-41393:
Assignee: Apache Spark
> Upgrade slf4j to 2.0.5
> --
>
>
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Apache Spark reassigned SPARK-41393:
Assignee: (was: Apache Spark)
> Upgrade slf4j to 2.0.5
> --
>
>
Yang Jie created SPARK-41393:
Summary: Upgrade slf4j to 2.0.5
Key: SPARK-41393
URL: https://issues.apache.org/jira/browse/SPARK-41393
Project: Spark
Issue Type: Improvement
Components:
[ https://issues.apache.org/jira/browse/SPARK-41266 ]
huldar chen deleted comment on SPARK-41266:
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was (Author: huldar):
I tried to reproduce the above problem, the result is
{code:java}
sql("CREATE VIEW v1(c1) AS SELECT CAST('2019-08-11
Ruifeng Zheng created SPARK-41391:
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Summary: The output column name of `groupby.agg(count_distinct)`
is incorrect
Key: SPARK-41391
URL: https://issues.apache.org/jira/browse/SPARK-41391
Project:
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Laurens Versluis edited comment on SPARK-41266 at 12/5/22 10:11 AM:
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Zhe Dong updated SPARK-41386:
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Component/s: SQL
(was: Spark Core)
> There are some small files when using
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Yang Jie updated SPARK-41389:
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Summary: Reuse `WRONG_NUM_ARGS` instead of `_LEGACY_ERROR_TEMP_1044` (was:
Reuse `WRONG_NUM_ARGS`
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Apache Spark commented on SPARK-41381:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-41381:
Assignee: Apache Spark
> Implement count_distinct and sum_distinct functions
>
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Apache Spark reassigned SPARK-41381:
Assignee: (was: Apache Spark)
> Implement count_distinct and sum_distinct functions
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Zhe Dong updated SPARK-41386:
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Summary: There are some small files when using rebalance(column) (was:
Resolve small files with
Yang Jie created SPARK-41390:
Summary: Update the script used to generate register function in
UDFRegistration
Key: SPARK-41390
URL: https://issues.apache.org/jira/browse/SPARK-41390
Project: Spark
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Apache Spark commented on SPARK-41391:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-41391:
Assignee: (was: Apache Spark)
> The output column name of
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Apache Spark reassigned SPARK-41391:
Assignee: Apache Spark
> The output column name of `groupBy.agg(count_distinct)` is
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Apache Spark commented on SPARK-41391:
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User 'zhengruifeng' has created a pull request for this
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Dongjoon Hyun updated SPARK-41388:
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Fix Version/s: 3.2.3
> getReusablePVCs should ignore recently created PVCs in the previous
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Dongjoon Hyun updated SPARK-41388:
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Fix Version/s: 3.2.4
(was: 3.2.3)
> getReusablePVCs should ignore
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huldar chen commented on SPARK-41266:
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I tried to reproduce the above problem, the result is
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Ahmed Mahran commented on SPARK-41008:
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[~srowen] I think you are right. Repeated feature/x values
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Ruifeng Zheng updated SPARK-41391:
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Summary: The output column name of `groupBy.agg(count_distinct)` is
incorrect (was: The
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huldar chen commented on SPARK-41266:
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I tried to reproduce the above problem, the result is:
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Apache Spark commented on SPARK-41382:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-41382:
Assignee: Apache Spark
> implement `product` function
>
>
>
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Apache Spark reassigned SPARK-41382:
Assignee: (was: Apache Spark)
> implement `product` function
>
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Dongjoon Hyun resolved SPARK-41388.
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Fix Version/s: 3.3.2
3.4.0
Resolution: Fixed
Issue resolved by
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Laurens Versluis commented on SPARK-41266:
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Hi [~huldar] I get a different output:
{noformat}
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Apache Spark commented on SPARK-41390:
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User 'LuciferYang' has created a pull request for this
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Apache Spark reassigned SPARK-41390:
Assignee: (was: Apache Spark)
> Update the script used to generate register function
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Apache Spark reassigned SPARK-41390:
Assignee: Apache Spark
> Update the script used to generate register function in
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Sandeep Katta resolved SPARK-39257.
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Resolution: Not A Problem
Issue is caused by mssql-jdbc driver and is fixed in 12.1.0
Dongjoon Hyun created SPARK-41394:
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Summary: Skip MemoryProfilerTests when pandas is not installed
Key: SPARK-41394
URL: https://issues.apache.org/jira/browse/SPARK-41394
Project: Spark
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Bjørn Jørgensen edited comment on SPARK-18502 at 12/5/22 7:36 PM:
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I
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Bjørn Jørgensen commented on SPARK-18502:
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I just answered this problem in u...@spark.org
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Xinrong Meng resolved SPARK-41372.
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Resolution: Resolved
> Support DataFrame TempView
> --
>
>
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Apache Spark commented on SPARK-41394:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark commented on SPARK-41394:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-41394:
Assignee: Apache Spark
> Skip MemoryProfilerTests when pandas is not installed
>
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Apache Spark reassigned SPARK-41394:
Assignee: (was: Apache Spark)
> Skip MemoryProfilerTests when pandas is not
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https://issues.apache.org/jira/browse/SPARK-41395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41395:
Assignee: Apache Spark
> InterpretedMutableProjection can corrupt unsafe buffer when
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Apache Spark commented on SPARK-41395:
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User 'bersprockets' has created a pull request for this
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Apache Spark reassigned SPARK-41395:
Assignee: (was: Apache Spark)
> InterpretedMutableProjection can corrupt unsafe
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Xinrong Meng updated SPARK-41397:
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Summary: Implement part of string/binary functions (was: Implement part of
String/Binary
Xinrong Meng created SPARK-41397:
Summary: Implement part of String/Binary functions
Key: SPARK-41397
URL: https://issues.apache.org/jira/browse/SPARK-41397
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-41398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17643610#comment-17643610
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Apache Spark commented on SPARK-41398:
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User 'sunchao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-41398:
Assignee: (was: Apache Spark)
> Relax constraints on Storage-Partitioned Join when
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Apache Spark commented on SPARK-41398:
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User 'sunchao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-41398:
Assignee: Apache Spark
> Relax constraints on Storage-Partitioned Join when partition
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Herman van Hövell resolved SPARK-41369.
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Fix Version/s: 3.4.0
Resolution: Resolved
> Refactor connect directory
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Herman van Hövell reassigned SPARK-41369:
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Assignee: Venkata Sai Akhil Gudesa
> Refactor connect directory structure
>
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Apache Spark reassigned SPARK-41399:
Assignee: Apache Spark
> Refactor column related tests to test_connect_column
>
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Apache Spark commented on SPARK-41399:
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User 'amaliujia' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-41399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41399:
Assignee: (was: Apache Spark)
> Refactor column related tests to test_connect_column
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Apache Spark commented on SPARK-41399:
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User 'amaliujia' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-40419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17643461#comment-17643461
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Apache Spark commented on SPARK-40419:
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User 'MaxGekk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-41372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17643473#comment-17643473
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Xinrong Meng commented on SPARK-41372:
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Resolved by https://github.com/apache/spark/pull/38891.
>
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Steve Loughran commented on SPARK-41392:
MBP m1 with
{code}
uname -a
Darwin stevel-MBP16
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Sandeep Katta commented on SPARK-39257:
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Closing this jira as this is fixed by *mssql-jdbc
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Apache Spark commented on SPARK-41397:
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User 'xinrong-meng' has created a pull request for this
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Apache Spark reassigned SPARK-41397:
Assignee: (was: Apache Spark)
> Implement part of string/binary functions
>
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Apache Spark reassigned SPARK-41397:
Assignee: Apache Spark
> Implement part of string/binary functions
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Chao Sun created SPARK-41398:
Summary: Relax constraints on Storage-Partitioned Join when
partition keys after runtime filtering do not match
Key: SPARK-41398
URL: https://issues.apache.org/jira/browse/SPARK-41398
Herman van Hövell created SPARK-41400:
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Summary: Split of API classes from Catalyst
Key: SPARK-41400
URL: https://issues.apache.org/jira/browse/SPARK-41400
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-41395:
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User 'bersprockets' has created a pull request for this
Rui Wang created SPARK-41399:
Summary: Refactor column related tests to test_connect_column
Key: SPARK-41399
URL: https://issues.apache.org/jira/browse/SPARK-41399
Project: Spark
Issue Type:
Bruce Robbins created SPARK-41395:
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Summary: InterpretedMutableProjection can corrupt unsafe buffer
when used with decimal data
Key: SPARK-41395
URL: https://issues.apache.org/jira/browse/SPARK-41395
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Bruce Robbins updated SPARK-41395:
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Description:
The following returns the wrong answer:
{noformat}
set
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Max Gekk reassigned SPARK-41390:
Assignee: Yang Jie
> Update the script used to generate register function in UDFRegistration
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Max Gekk resolved SPARK-41390.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38916
Sandish Kumar HN created SPARK-41396:
Summary: Oneof field support and recursive fields
Key: SPARK-41396
URL: https://issues.apache.org/jira/browse/SPARK-41396
Project: Spark
Issue Type:
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Dongjoon Hyun reassigned SPARK-41394:
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Assignee: Dongjoon Hyun
> Skip MemoryProfilerTests when pandas is not installed
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Dongjoon Hyun resolved SPARK-41394.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38920
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Apache Spark reassigned SPARK-41396:
Assignee: Apache Spark
> Oneof field support and recursive fields
>
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Apache Spark reassigned SPARK-41396:
Assignee: (was: Apache Spark)
> Oneof field support and recursive fields
>
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