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Bryan Cutler reassigned SPARK-38098:
Assignee: Luca Canali
> Add support for ArrayType of nested StructType to arrow-based
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Bryan Cutler resolved SPARK-38098.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 35391
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Bryan Cutler resolved SPARK-39160.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36518
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Bryan Cutler reassigned SPARK-39160:
Assignee: Cheng Pan
> Remove workaround for ARROW-1948
>
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Bryan Cutler reassigned SPARK-34521:
Assignee: Nicolas Azrak
> spark.createDataFrame does not support Pandas StringDtype
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Bryan Cutler resolved SPARK-34521.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34509
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Bryan Cutler updated SPARK-21187:
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Attachment: (was: 0--1172099527-254246775-1412485878)
> Complete support for remaining
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Bryan Cutler edited comment on SPARK-34463 at 3/2/21, 6:11 PM:
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As David
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Bryan Cutler commented on SPARK-34463:
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As David said, it depends on what is done in Pandas that
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Bryan Cutler reassigned SPARK-32953:
Assignee: David Li
> Lower memory usage in toPandas with Arrow self_destruct
>
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Bryan Cutler resolved SPARK-32953.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 29818
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Bryan Cutler commented on SPARK-24632:
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Ping [~huaxingao] in case you have some time to look into
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Bryan Cutler resolved SPARK-33576.
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Resolution: Duplicate
Going to resolve as a duplicate, but please reopen if you find it is
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Bryan Cutler commented on SPARK-33576:
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[~darshats] I believe the only current workaround is to
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Bryan Cutler commented on SPARK-33576:
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Is this due to the 2GB limit? As in
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Bryan Cutler commented on SPARK-33489:
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Great, thanks [~cactice] ! Please feel free to ping me if
Bryan Cutler created SPARK-33613:
Summary: [Python][Tests] Replace calls to deprecated test APIs
Key: SPARK-33613
URL: https://issues.apache.org/jira/browse/SPARK-33613
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-33489?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17238950#comment-17238950
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Bryan Cutler commented on SPARK-33489:
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Yes, Arrow supports null type. Should be pretty
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https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-21187.
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Fix Version/s: 3.1.0
Resolution: Fixed
With MapType now added, all basic types are
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Bryan Cutler updated SPARK-21187:
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Description:
This is to track adding the remaining type support in Arrow Converters.
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https://issues.apache.org/jira/browse/SPARK-32285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-32285:
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Parent: (was: SPARK-21187)
Issue Type: Improvement (was: Sub-task)
> Add PySpark
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https://issues.apache.org/jira/browse/SPARK-33279?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17224420#comment-17224420
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Bryan Cutler edited comment on SPARK-33279 at 11/2/20, 5:21 AM:
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Bryan Cutler commented on SPARK-33279:
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[~fan_li_ya] we should change the Arrow-Spark integration
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Bryan Cutler commented on SPARK-33213:
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Just a couple notes:
The library and format versions are
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https://issues.apache.org/jira/browse/SPARK-33189?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17217779#comment-17217779
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Bryan Cutler commented on SPARK-33189:
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There is an env var we can set that will use the old
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Bryan Cutler updated SPARK-33073:
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Description:
Currently, when converting from Pandas to Arrow for Pandas UDF return values or
Bryan Cutler created SPARK-33073:
Summary: Improve error handling on Pandas to Arrow conversion
failures
Key: SPARK-33073
URL: https://issues.apache.org/jira/browse/SPARK-33073
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-24554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17205719#comment-17205719
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Bryan Cutler commented on SPARK-24554:
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I started working on this, but ran into an issue at
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Bryan Cutler commented on SPARK-32312:
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Sorry for the delay, I was holding off for a couple of
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Bryan Cutler reassigned SPARK-32686:
Assignee: Nicholas Chammas
> Un-deprecate inferring DataFrame schema from list of
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Bryan Cutler resolved SPARK-32686.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29510
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Bryan Cutler closed SPARK-32413.
> Guidance for my project
>
>
> Key: SPARK-32413
>
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Bryan Cutler resolved SPARK-32413.
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Resolution: Not A Problem
Hi [~stoksoz] , this type of discussion is more appropriate for the
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https://issues.apache.org/jira/browse/SPARK-32300?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler reassigned SPARK-32300:
Assignee: Hyukjin Kwon
> toPandas with no partitions should work
>
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Bryan Cutler resolved SPARK-32300.
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Fix Version/s: 2.4.7
Resolution: Fixed
Issue resolved by pull request 29098
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Bryan Cutler commented on SPARK-32312:
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I've been doing local testing and will submit a WIP PR
Bryan Cutler created SPARK-32312:
Summary: Upgrade Apache Arrow to 1.0.0
Key: SPARK-32312
URL: https://issues.apache.org/jira/browse/SPARK-32312
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-21187:
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Description:
This is to track adding the remaining type support in Arrow Converters.
Bryan Cutler created SPARK-32285:
Summary: Add PySpark support for nested timestamps with arrow
Key: SPARK-32285
URL: https://issues.apache.org/jira/browse/SPARK-32285
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-32174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-32174.
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Resolution: Not A Problem
Great, I will mark this as resolved then. We should add the
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Bryan Cutler commented on SPARK-32174:
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>From the stacktrace, it looks like you are using JDK9 or
Bryan Cutler created SPARK-32162:
Summary: Improve Pandas Grouped Map with Window test output
Key: SPARK-32162
URL: https://issues.apache.org/jira/browse/SPARK-32162
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-32098?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler reassigned SPARK-32098:
Assignee: Hyukjin Kwon
> Use iloc for positional slicing instead of direct slicing in
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Bryan Cutler resolved SPARK-32098.
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Fix Version/s: 3.1.0
2.4.7
3.0.1
Resolution:
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https://issues.apache.org/jira/browse/SPARK-31998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-31998:
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Component/s: (was: Spark Core)
SQL
> Change package references for
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Bryan Cutler updated SPARK-31998:
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Issue Type: Improvement (was: Bug)
> Change package references for ArrowBuf
>
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https://issues.apache.org/jira/browse/SPARK-32080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-32080:
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Priority: Trivial (was: Major)
> Simplify ArrowColumnVector ListArray accessor
>
Bryan Cutler created SPARK-32080:
Summary: Simplify ArrowColumnVector ListArray accessor
Key: SPARK-32080
URL: https://issues.apache.org/jira/browse/SPARK-32080
Project: Spark
Issue Type:
Bryan Cutler created SPARK-31964:
Summary: Avoid Pandas import for CategoricalDtype with Arrow
conversion
Key: SPARK-31964
URL: https://issues.apache.org/jira/browse/SPARK-31964
Project: Spark
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Bryan Cutler resolved SPARK-31915.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 28777
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Bryan Cutler reassigned SPARK-31915:
Assignee: Hyukjin Kwon
> Resolve the grouping column properly per the case sensitivity
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https://issues.apache.org/jira/browse/SPARK-25351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-25351.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 26585
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Bryan Cutler reassigned SPARK-25351:
Assignee: Jalpan Randeri
> Handle Pandas category type when converting from Python with
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https://issues.apache.org/jira/browse/SPARK-31704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17106500#comment-17106500
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Bryan Cutler commented on SPARK-31704:
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This is due to a Netty API that Arrow uses and
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https://issues.apache.org/jira/browse/SPARK-31629?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17100154#comment-17100154
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Bryan Cutler commented on SPARK-31629:
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[~appleyuchi] are you able to try out a more recent version
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Bryan Cutler reassigned SPARK-31306:
Assignee: Ben
> rand() function documentation suggests an inclusive upper bound of 1.0
>
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Bryan Cutler reassigned SPARK-31306:
Assignee: Bryan Cutler
> rand() function documentation suggests an inclusive upper bound
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Bryan Cutler reassigned SPARK-31306:
Assignee: (was: Bryan Cutler)
> rand() function documentation suggests an inclusive
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Bryan Cutler resolved SPARK-31306.
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Resolution: Fixed
Issue resolved by pull request 28071
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Bryan Cutler updated SPARK-31299:
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Description:
I hope this is the right place and way to report a bug in (at least) the
PySpark
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Bryan Cutler commented on SPARK-31299:
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It looks like you are using {{DenseVector}} from
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Bryan Cutler resolved SPARK-31299.
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Resolution: Not A Problem
> Pyspark.ml.clustering illegalArgumentException with dataframe
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https://issues.apache.org/jira/browse/SPARK-30961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17053717#comment-17053717
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Bryan Cutler commented on SPARK-30961:
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Just to be clear, this is only an issue with Spark 2.4.x.
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Bryan Cutler resolved SPARK-30961.
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Resolution: Won't Fix
Thanks [~KevinAppel] and [~nicornk] for the info, I'll go ahead and
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Bryan Cutler commented on SPARK-30961:
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Yes, we should be able to keep Spark 3.x up to date with
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Bryan Cutler commented on SPARK-30961:
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[~nicornk] there were a number of fixes related to Arrow
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https://issues.apache.org/jira/browse/SPARK-30861?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-30861:
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Fix Version/s: 3.0.0
> Deprecate constructor of SQLContext and getOrCreate in SQLContext at
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Bryan Cutler resolved SPARK-30861.
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Resolution: Fixed
> Deprecate constructor of SQLContext and getOrCreate in SQLContext at
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Bryan Cutler commented on SPARK-30861:
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Issue resolved by pull request 27614
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Bryan Cutler reassigned SPARK-30861:
Assignee: Hyukjin Kwon
> Deprecate constructor of SQLContext and getOrCreate in
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https://issues.apache.org/jira/browse/SPARK-30834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-30834:
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Component/s: PySpark
> Add note for recommended versions of Pandas and PyArrow for 2.4.x
>
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Bryan Cutler updated SPARK-30834:
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Description:
CI testing for branch 2.4 has been with the versions below. These are
recommened
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Bryan Cutler updated SPARK-30834:
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Description:
CI testing for branch 2.4 has been with the versions below. These are
recommened
Bryan Cutler created SPARK-30834:
Summary: Add note for recommended versions of Pandas and PyArrow
for 2.4.x
Key: SPARK-30834
URL: https://issues.apache.org/jira/browse/SPARK-30834
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-30777?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17033873#comment-17033873
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Bryan Cutler commented on SPARK-30777:
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[~dongjoon] I don't think it's a blocker, only the tests
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Bryan Cutler commented on SPARK-30777:
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I'm working on the patch
> PySpark test_arrow tests fail
Bryan Cutler created SPARK-30777:
Summary: PySpark test_arrow tests fail with Pandas > 1.0.0
Key: SPARK-30777
URL: https://issues.apache.org/jira/browse/SPARK-30777
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-30640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-30640.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27358
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Bryan Cutler reassigned SPARK-30640:
Assignee: Bryan Cutler
> Prevent unnessary copies of data in Arrow to Pandas conversion
Bryan Cutler created SPARK-30640:
Summary: Prevent unnessary copies of data in Arrow to Pandas
conversion with Timestamps
Key: SPARK-30640
URL: https://issues.apache.org/jira/browse/SPARK-30640
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https://issues.apache.org/jira/browse/SPARK-24915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17019770#comment-17019770
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Bryan Cutler commented on SPARK-24915:
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[~jhereth] since there is already a lot of discussion on
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Bryan Cutler reopened SPARK-24915:
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> Calling SparkSession.createDataFrame with schema can throw exception
>
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Bryan Cutler commented on SPARK-24915:
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[~jhereth] apologies for closing prematurely, I didn't know
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Bryan Cutler resolved SPARK-24915.
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Resolution: Won't Fix
Closing in favor of fix in SPARK-29748
> Calling
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https://issues.apache.org/jira/browse/SPARK-22232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-22232.
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Resolution: Won't Fix
Closing in favor for fix in SPARK-29748
> Row objects in pyspark
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Bryan Cutler reassigned SPARK-29748:
Assignee: Bryan Cutler
> Remove sorting of fields in PySpark SQL Row creation
>
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Bryan Cutler resolved SPARK-29748.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26496
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https://issues.apache.org/jira/browse/SPARK-28502?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16999545#comment-16999545
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Bryan Cutler commented on SPARK-28502:
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The problem is that returning nested StructTypes is not
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Bryan Cutler resolved SPARK-28502.
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Resolution: Fixed
> Error with struct conversion while using pandas_udf
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https://issues.apache.org/jira/browse/SPARK-29748?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16987252#comment-16987252
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Bryan Cutler commented on SPARK-29748:
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[~zero323] I made some updates to the PR with remove the
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https://issues.apache.org/jira/browse/SPARK-30063?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16987154#comment-16987154
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Bryan Cutler commented on SPARK-30063:
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I haven't looked at your bug report in detail but you are
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https://issues.apache.org/jira/browse/SPARK-29691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler reassigned SPARK-29691:
Assignee: John Bauer
> Estimator fit method fails to copy params (in PySpark)
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https://issues.apache.org/jira/browse/SPARK-29691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-29691.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26527
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https://issues.apache.org/jira/browse/SPARK-29748?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16977749#comment-16977749
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Bryan Cutler commented on SPARK-29748:
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[~zero323] and [~jhereth] this is targeted for Spark 3.0
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https://issues.apache.org/jira/browse/SPARK-29748?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16974678#comment-16974678
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Bryan Cutler commented on SPARK-29748:
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Thanks for discussing [~zero323] . The goal here is to only
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https://issues.apache.org/jira/browse/SPARK-29493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16972833#comment-16972833
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Bryan Cutler commented on SPARK-29493:
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[~jalpan.randeri] this depends on SPARK-29376 for a newer
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https://issues.apache.org/jira/browse/SPARK-25351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler reopened SPARK-25351:
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reopening, this should be straightforward to add
> Handle Pandas category type when converting
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https://issues.apache.org/jira/browse/SPARK-29798?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-29798.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26432
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https://issues.apache.org/jira/browse/SPARK-29798?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler reassigned SPARK-29798:
Assignee: Hyukjin Kwon
> Infers bytes as binary type in Python 3 at PySpark
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Bryan Cutler updated SPARK-29376:
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Description:
Apache Arrow 0.15.0 was just released see
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