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Wenchen Fan reassigned SPARK-42049:
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Assignee: Peter Toth
> Improve AliasAwareOutputExpression
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Wenchen Fan resolved SPARK-42049.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37525
[https://gith
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Wenchen Fan reassigned SPARK-40086:
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Assignee: Peter Toth
> Improve AliasAwareOutputPartitioning to take all aliases into accoun
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Wenchen Fan resolved SPARK-40086.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37525
[https://gith
Furcy Pin created SPARK-42258:
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Summary: pyspark.sql.functions should not expose typing.cast
Key: SPARK-42258
URL: https://issues.apache.org/jira/browse/SPARK-42258
Project: Spark
Issue Type: Imp
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https://issues.apache.org/jira/browse/SPARK-42257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-42257:
Assignee: (was: Apache Spark)
> Remove unused variable in ExternalSorter
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Apache Spark reassigned SPARK-42257:
Assignee: Apache Spark
> Remove unused variable in ExternalSorter
>
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Apache Spark commented on SPARK-42257:
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User 'khalidmammadov' has created a pull re
Khalid Mammadov created SPARK-42257:
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Summary: Remove unused variable in ExternalSorter
Key: SPARK-42257
URL: https://issues.apache.org/jira/browse/SPARK-42257
Project: Spark
Issue Type: I
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Kazuyuki Tanimura updated SPARK-42256:
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Description:
Spark-SQL filter operation is a common workload in order to select sp
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Hyukjin Kwon resolved SPARK-42250.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39817
[https://gi
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Hyukjin Kwon reassigned SPARK-42250:
Assignee: Hyukjin Kwon
> predict_batch_udf with float fails when the batch size consists
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Penglei Shi commented on SPARK-35725:
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[~ulysses] Thx!
> Support repartition expand
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XiDuo You edited comment on SPARK-35725 at 1/31/23 10:08 AM:
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XiDuo You edited comment on SPARK-35725 at 1/31/23 10:07 AM:
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XiDuo You commented on SPARK-35725:
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[~Penglei Shi] Kyuubi community has a Spark exten
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Penglei Shi edited comment on SPARK-35725 at 1/31/23 9:57 AM:
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Penglei Shi commented on SPARK-35725:
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[~ulysses] Yes, the final shuffle coming wit
Kazuyuki Tanimura created SPARK-42256:
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Summary: SPIP: Lazy Materialization for Parquet Read Performance
Improvement
Key: SPARK-42256
URL: https://issues.apache.org/jira/browse/SPARK-42256
Project
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XiDuo You commented on SPARK-35725:
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[~Penglei Shi] , It will cause inconsistent. The
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Apache Spark reassigned SPARK-42251:
Assignee: Apache Spark
> Forbid deicmal type if precision less than 1
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Apache Spark commented on SPARK-42251:
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User 'ulysses-you' has created a pull reque
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Apache Spark reassigned SPARK-42251:
Assignee: (was: Apache Spark)
> Forbid deicmal type if precision less than 1
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Penglei Shi commented on SPARK-35725:
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Hi [~ulysses] , advisory partition size for
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XiDuo You updated SPARK-42251:
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Summary: Forbid deicmal type if precision less than 1 (was: Forbid deicmal
type if precision is 0)
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Max Gekk resolved SPARK-42229.
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Fix Version/s: 3.5.0
Resolution: Fixed
Issue resolved by pull request 39791
[https://github.com
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Max Gekk reassigned SPARK-42229:
Assignee: Haejoon Lee
> Migrate SparkCoreErrors into error class
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XiDuo You updated SPARK-42251:
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Description:
Spark does not actually support decimal type with 0 precision. e.g.
{code:java}
– work
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XiDuo You updated SPARK-42251:
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Summary: Forbid deicmal type if precision is 0 (was: Forbid deicmal(0, 0))
> Forbid deicmal type if p
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