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Hyukjin Kwon resolved SPARK-35683.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32853
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Haejoon Lee updated SPARK-35696:
Summary: Refine the code examples in the pandas API on Spark documentation.
(was: Refine the
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Haejoon Lee commented on SPARK-35696:
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I'm working on this
> Refine the code examples in the pandas
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dgd_contributor commented on SPARK-35064:
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I would like to work on this
> Group exception
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laokong updated SPARK-35762:
Description:
=== recreate problem steps
1.create orc table in hive
```
hive> drop table demo;
OK
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laokong updated SPARK-35762:
Attachment: full-stack-trace.log
> Errors while using spark-sql read hive 3.1 orc table
>
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laokong updated SPARK-35762:
Description:
problem ***
=== recreate problem
1.create orc table in hive
```
hive> drop table
laokong created SPARK-35762:
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Summary: Errors while using spark-sql read hive 3.1 orc table
Key: SPARK-35762
URL: https://issues.apache.org/jira/browse/SPARK-35762
Project: Spark
Issue Type: Bug
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dgd_contributor commented on SPARK-35622:
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Run a benchmark on my computer, df.rdd.count()
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zhengruifeng resolved SPARK-35678.
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Resolution: Resolved
> add a common softmax function
> -
>
>
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Qi Zhu commented on SPARK-35426:
Thanks [~mshen] for clarify, i will check the corresponding code.
>
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Hyukjin Kwon reassigned SPARK-35761:
Assignee: Takuya Ueshin
> Use type-annotation based pandas_udf or avoid specifying udf
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Hyukjin Kwon resolved SPARK-35761.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32913
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Kousuke Saruta commented on SPARK-35758:
[~ferranjr]
Could you build with -Phadoop-2.7 ?
I can
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Hyukjin Kwon reassigned SPARK-35750:
Assignee: Haejoon Lee
> Rename "pandas APIs on Spark" to "pandas API on Spark" in the
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Hyukjin Kwon resolved SPARK-35750.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32903
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Hyukjin Kwon reassigned SPARK-35759:
Assignee: Takuya Ueshin
> Remove the upperbound for numpy for pandas-on-Spark
>
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Hyukjin Kwon resolved SPARK-35759.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32908
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Hyukjin Kwon resolved SPARK-35755.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32906
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Takuya Ueshin resolved SPARK-35616.
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Fix Version/s: 3.2.0
Assignee: Xinrong Meng
Resolution: Fixed
Issue
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Apache Spark commented on SPARK-35761:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35761:
Assignee: Apache Spark
> Use type-annotation based pandas_udf or avoid specifying udf
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Apache Spark commented on SPARK-35761:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35761:
Assignee: (was: Apache Spark)
> Use type-annotation based pandas_udf or avoid
Takuya Ueshin created SPARK-35761:
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Summary: Use type-annotation based pandas_udf or avoid specifying
udf types to suppress warnings.
Key: SPARK-35761
URL: https://issues.apache.org/jira/browse/SPARK-35761
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Apache Spark commented on SPARK-35429:
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User 'sumeetgajjar' has created a pull request for this
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Apache Spark commented on SPARK-35429:
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User 'sumeetgajjar' has created a pull request for this
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Min Shen commented on SPARK-35426:
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When a merger is removed from the retained list, it only prevents
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Apache Spark commented on SPARK-35760:
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User 'c21' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35760:
Assignee: (was: Apache Spark)
> Fix the max rows check for broadcast exchange
>
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Apache Spark reassigned SPARK-35760:
Assignee: Apache Spark
> Fix the max rows check for broadcast exchange
>
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Apache Spark commented on SPARK-35760:
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User 'c21' has created a pull request for this issue:
Cheng Su created SPARK-35760:
Summary: Fix the max rows check for broadcast exchange
Key: SPARK-35760
URL: https://issues.apache.org/jira/browse/SPARK-35760
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-35614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35614:
Assignee: Apache Spark
> Make the conversion to pandas data-type-based for
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Apache Spark reassigned SPARK-35614:
Assignee: (was: Apache Spark)
> Make the conversion to pandas data-type-based for
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Apache Spark commented on SPARK-35614:
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User 'xinrong-databricks' has created a pull request for
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Xinrong Meng updated SPARK-35614:
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Summary: Make the conversion to pandas data-type-based for ExtensionDtypes
(was: Make the
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Apache Spark commented on SPARK-35680:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35759:
Assignee: Apache Spark
> Remove the upperbound for numpy for pandas-on-Spark
>
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Apache Spark commented on SPARK-35759:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35759:
Assignee: (was: Apache Spark)
> Remove the upperbound for numpy for pandas-on-Spark
Takuya Ueshin created SPARK-35759:
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Summary: Remove the upperbound for numpy for pandas-on-Spark
Key: SPARK-35759
URL: https://issues.apache.org/jira/browse/SPARK-35759
Project: Spark
Issue
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Sumeet commented on SPARK-35429:
Re-opening this Jira since Spark upgraded to Hive 2.3.9 which no longer
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Steven Aerts commented on SPARK-35744:
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[~xkrogen] in the past we use them solely in RDD's as I
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Fu Chen commented on SPARK-35688:
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I think the subexpressions evaluations in the SpecificPredicate
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Fu Chen commented on SPARK-35688:
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Hi, [~maropu] , [~hyukjin.kwon] .
I can reproduce the bug by
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Jogesh Anand commented on SPARK-29683:
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Facing the same issue with 3.0.1 with streaming:
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Apache Spark reassigned SPARK-35757:
Assignee: Apache Spark
> Add bitwise AND operation to BitArray and add intersect AND
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Apache Spark commented on SPARK-35757:
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User 'kudhru' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35757:
Assignee: (was: Apache Spark)
> Add bitwise AND operation to BitArray and add
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Apache Spark commented on SPARK-35757:
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User 'kudhru' has created a pull request for this issue:
Ferran Puig-Calvache created SPARK-35758:
Summary: Spark Core doesn't build when selecting
-Dhadoop.version=2.x from Spark 3.1.1
Key: SPARK-35758
URL: https://issues.apache.org/jira/browse/SPARK-35758
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Erik Krogen commented on SPARK-35744:
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[~steven.aerts] can you elaborate on where you're using
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Dhruv Kumar updated SPARK-35757:
Issue Type: Improvement (was: New Feature)
> Add bitwise AND operation to BitArray and add
Dhruv Kumar created SPARK-35757:
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Summary: Add bitwise AND operation to BitArray and add intersect
AND operation for bloom filters
Key: SPARK-35757
URL: https://issues.apache.org/jira/browse/SPARK-35757
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Apache Spark reassigned SPARK-35755:
Assignee: Apache Spark (was: Hyukjin Kwon)
> Use higher PyArrow in GitHub Actions build
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Hyukjin Kwon updated SPARK-35755:
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Summary: Use higher PyArrow in GitHub Actions build (was: Use PyArrow 4.x
in GitHub Actions
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Apache Spark commented on SPARK-35755:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-35755:
Assignee: Hyukjin Kwon (was: Apache Spark)
> Use higher PyArrow in GitHub Actions build
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Hyukjin Kwon updated SPARK-35755:
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Summary: Use PyArrow 4.x in GitHub Actions build (was: Use PyArrow 3.x for
Python 3.8 in
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Hyukjin Kwon updated SPARK-35755:
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Description: We set the upperbound of PyArrow at SPARK-33190 that's fixed
in SPARK-33189. With
Wassim Almaaoui created SPARK-35756:
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Summary: unionByName should support nested struct also
Key: SPARK-35756
URL: https://issues.apache.org/jira/browse/SPARK-35756
Project: Spark
Issue
Hyukjin Kwon created SPARK-35755:
Summary: Use PyArrow 3.x for Python 3.8 in GitHub Actions build
Key: SPARK-35755
URL: https://issues.apache.org/jira/browse/SPARK-35755
Project: Spark
Issue
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Hyukjin Kwon updated SPARK-35755:
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Issue Type: Test (was: Improvement)
> Use PyArrow 3.x for Python 3.8 in GitHub Actions build
>
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Apache Spark commented on SPARK-35737:
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User 'sarutak' has created a pull request for this issue:
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Apache Spark commented on SPARK-35737:
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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-35736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362962#comment-17362962
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Apache Spark commented on SPARK-35736:
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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-35739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362955#comment-17362955
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Brandon Dahler commented on SPARK-35739:
I can do array instead of List, note that it'll have to
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Hadrien Glaude reopened SPARK-35745:
The ticket has been marked as resolved because marking the udf function as
non-deterministic
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Max Gekk resolved SPARK-35748.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32896
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Hadrien Glaude commented on SPARK-35745:
> This is the correct way to avoid this problem.
How
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Robert Joseph Evans commented on SPARK-35563:
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[~dc-heros] Thanks for looking into this. I
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Apache Spark commented on SPARK-33122:
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User 'tanelk' has created a pull request for this issue:
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Apache Spark commented on SPARK-35750:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-35750:
Assignee: (was: Apache Spark)
> Rename "pandas APIs on Spark" to "pandas API on
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Apache Spark commented on SPARK-35750:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-35750:
Assignee: Apache Spark
> Rename "pandas APIs on Spark" to "pandas API on Spark" in the
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https://issues.apache.org/jira/browse/SPARK-35754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362860#comment-17362860
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Apache Spark commented on SPARK-35754:
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User 'q2w' has created a pull request for this issue:
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Apache Spark commented on SPARK-35754:
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User 'q2w' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35754:
Assignee: Apache Spark
> Put blocks only on disk while migrating RDD cached data
>
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Apache Spark reassigned SPARK-35754:
Assignee: (was: Apache Spark)
> Put blocks only on disk while migrating RDD cached
abhishek kumar tiwari created SPARK-35754:
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Summary: Put blocks only on disk while migrating RDD cached data
Key: SPARK-35754
URL: https://issues.apache.org/jira/browse/SPARK-35754
Project:
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dgd_contributor commented on SPARK-35563:
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After looking to this, I found out rowNumber in
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Apache Spark commented on SPARK-35753:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-35753:
Assignee: Apache Spark
> Increase stacksize in Maven for AppVeyor build
>
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Apache Spark reassigned SPARK-35753:
Assignee: (was: Apache Spark)
> Increase stacksize in Maven for AppVeyor build
>
Hyukjin Kwon created SPARK-35753:
Summary: Increase stacksize in Maven for AppVeyor build
Key: SPARK-35753
URL: https://issues.apache.org/jira/browse/SPARK-35753
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-35752?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362805#comment-17362805
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L. C. Hsieh commented on SPARK-35752:
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Found exceptional case. Seems invalid.
> Clean up unused
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L. C. Hsieh resolved SPARK-35752.
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Resolution: Invalid
> Clean up unused code in getLocalInputVariableValues
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https://issues.apache.org/jira/browse/SPARK-35744?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362804#comment-17362804
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Steven Aerts commented on SPARK-35744:
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[~Gengliang.Wang] in the avro java/scala world there are
L. C. Hsieh created SPARK-35752:
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Summary: Clean up unused code in getLocalInputVariableValues
Key: SPARK-35752
URL: https://issues.apache.org/jira/browse/SPARK-35752
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-35744?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362780#comment-17362780
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Gengliang Wang commented on SPARK-35744:
[~steven.aerts] Thanks for reporting.
Could you tell
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https://issues.apache.org/jira/browse/SPARK-32891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17362766#comment-17362766
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dgd_contributor commented on SPARK-32891:
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After looking into this and run a few benchmark, I
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https://issues.apache.org/jira/browse/SPARK-35737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk resolved SPARK-35737.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32892
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Max Gekk reassigned SPARK-35737:
Assignee: Kousuke Saruta
> Parse day-time interval literals to tightest types
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Apache Spark commented on SPARK-35751:
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User 'qfoxzjd' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35751:
Assignee: Apache Spark
> Support Joint eviction strategies for cached RDD partitions
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Apache Spark reassigned SPARK-35751:
Assignee: (was: Apache Spark)
> Support Joint eviction strategies for cached RDD
JindongZhang created SPARK-35751:
Summary: Support Joint eviction strategies for cached RDD
partitions
Key: SPARK-35751
URL: https://issues.apache.org/jira/browse/SPARK-35751
Project: Spark
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