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Jungtaek Lim updated SPARK-45672:
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Parent: SPARK-45511
Issue Type: Sub-task (was: Improvement)
> Provide a unified
Jungtaek Lim created SPARK-45672:
Summary: Provide a unified user-facing schema for state format
versions in state data source - reader
Key: SPARK-45672
URL: https://issues.apache.org/jira/browse/SPARK-45672
Jungtaek Lim created SPARK-45671:
Summary: Implement an option similar to corrupt record column in
State Data Source Reader
Key: SPARK-45671
URL: https://issues.apache.org/jira/browse/SPARK-45671
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Jungtaek Lim commented on SPARK-38723:
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(I just asked about the Jira ccount to the PR author. I'll
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Jungtaek Lim resolved SPARK-38723.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43405
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Yang Jie resolved SPARK-45663.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43527
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Yang Jie reassigned SPARK-45663:
Assignee: Yang Jie
> Replace `IterableOnceOps#aggregate` with `IterableOnceOps#foldLeft`
>
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Yang Jie reassigned SPARK-44407:
Assignee: Yang Jie
> Clean up the compilation warnings related to `it will become a keyword in
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Yang Jie resolved SPARK-44407.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43529
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ASF GitHub Bot updated SPARK-45670:
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Labels: pull-request-available (was: )
> SparkSubmit does not support
Cheng Pan created SPARK-45670:
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Summary: SparkSubmit does not support --total-executor-cores when
deploying on K8s
Key: SPARK-45670
URL: https://issues.apache.org/jira/browse/SPARK-45670
Project: Spark
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ASF GitHub Bot updated SPARK-43923:
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Labels: pull-request-available (was: )
> [CONNECT] Post listenerBus events during
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ASF GitHub Bot updated SPARK-45669:
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Labels: pull-request-available (was: )
> Ensure the continuity of rolling log index
>
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ASF GitHub Bot updated SPARK-45667:
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Labels: pull-request-available (was: )
> Clean up the deprecated API usage related to
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ASF GitHub Bot updated SPARK-45668:
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Labels: pull-request-available (was: )
> Improve the assert message in
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Yang Jie resolved SPARK-45665.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43496
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Yang Jie reassigned SPARK-45665:
Assignee: Yang Jie
> Uses different ORACLE_DOCKER_IMAGE_NAME in the scheduled builds in other
>
shuyouZZ created SPARK-45669:
Summary: Ensure the continuity of rolling log index
Key: SPARK-45669
URL: https://issues.apache.org/jira/browse/SPARK-45669
Project: Spark
Issue Type: Task
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shuyouZZ updated SPARK-45668:
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Description:
Currently the assert message in `RollingEventLogFilesFileReader` is not clear.
When the
shuyouZZ created SPARK-45668:
Summary: Improve the assert message in
`RollingEventLogFilesFileReader`
Key: SPARK-45668
URL: https://issues.apache.org/jira/browse/SPARK-45668
Project: Spark
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Yang Jie resolved SPARK-45650.
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Resolution: Not A Problem
> fix dev/mina get scala 2.12
>
>
>
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Yang Jie commented on SPARK-45650:
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{code:java}
[error] spark-sql-api: Failed binary compatibility
Yang Jie created SPARK-45667:
Summary: Clean up the deprecated API usage related to
`IterableOnceExtensionMethods`.
Key: SPARK-45667
URL: https://issues.apache.org/jira/browse/SPARK-45667
Project: Spark
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ASF GitHub Bot updated SPARK-45665:
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Labels: pull-request-available (was: )
> Uses different ORACLE_DOCKER_IMAGE_NAME in the
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Hyukjin Kwon reassigned SPARK-45635:
Assignee: Haejoon Lee
> Cleanup unused import for PySpark testing
>
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Hyukjin Kwon resolved SPARK-45635.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43489
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Hyukjin Kwon resolved SPARK-45634.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43488
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ASF GitHub Bot updated SPARK-19335:
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Labels: pull-request-available (was: )
> Spark should support doing an efficient DataFrame
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Hyukjin Kwon reassigned SPARK-45634:
Assignee: Haejoon Lee
> Remove `get_dtype_counts` from Pandas API on Spark
>
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Herman van Hövell reassigned SPARK-45136:
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Assignee: Vsevolod Stepanov (was: Herman van Hövell)
> Improve ClosureCleaner
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Herman van Hövell resolved SPARK-45136.
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Fix Version/s: 4.0.0
Resolution: Fixed
> Improve ClosureCleaner to support
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Yuming Wang updated SPARK-45658:
Target Version/s: (was: 3.5.1)
> Canonicalization of DynamicPruningSubquery is broken
>
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Yuming Wang updated SPARK-45658:
Affects Version/s: (was: 3.5.1)
> Canonicalization of DynamicPruningSubquery is broken
>
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Hyukjin Kwon reassigned SPARK-45661:
Assignee: Hyukjin Kwon
> Add toNullable in StructType, MapType and ArrayType
>
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Hyukjin Kwon resolved SPARK-45661.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43523
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ASF GitHub Bot updated SPARK-0:
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Labels: pull-request-available (was: )
> Use thread pool to perform maintenance activity
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Dongjoon Hyun updated SPARK-44124:
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Parent: (was: SPARK-44111)
Issue Type: Improvement (was: Sub-task)
> Upgrade AWS
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ASF GitHub Bot updated SPARK-45652:
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Labels: pull-request-available (was: )
> SPJ: Handle empty input partitions after dynamic
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ASF GitHub Bot updated SPARK-29615:
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Labels: pull-request-available (was: )
> Add insertInto method with byName parameter in
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
dinesh sachdev created SPARK-45666:
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Summary: spark-sql-kafka-0-10_2.11 - Custom Configuration's for
Partitioner not set.
Key: SPARK-45666
URL: https://issues.apache.org/jira/browse/SPARK-45666
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dinesh sachdev updated SPARK-45666:
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Description:
We had a requirement to write Custom
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Max Gekk resolved SPARK-45660.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43524
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Max Gekk reassigned SPARK-45660:
Assignee: Jan-Ole Sasse
> Re-use Literal objects when replacing timestamps in the
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Dongjoon Hyun updated SPARK-45545:
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Summary: Pass SSLOptions wherever we create a SparkTransportConf (was:
[CORE] Pass
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Sean R. Owen updated SPARK-40154:
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Priority: Trivial (was: Minor)
> PySpark: DataFrame.cache docstring gives wrong storage level
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Sean R. Owen resolved SPARK-40154.
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Fix Version/s: 3.5.1
4.0.0
3.4.2
Resolution:
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Sean R. Owen reassigned SPARK-40154:
Assignee: Paul Staab
> PySpark: DataFrame.cache docstring gives wrong storage level
>
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Steve Loughran commented on SPARK-44124:
good document
# I think you could consider cutting the
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Yang Jie reassigned SPARK-45209:
Assignee: Kent Yao
> Flame Graph Support For Executor Thread Dump Page
>
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Yang Jie resolved SPARK-45209.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 42988
Yang Jie created SPARK-45665:
Summary: Uses different ORACLE_DOCKER_IMAGE_NAME in the scheduled
builds in other branches
Key: SPARK-45665
URL: https://issues.apache.org/jira/browse/SPARK-45665
Project:
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tangjiafu commented on SPARK-45650:
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in this PR （ https://github.com/apache/spark/pull/43456 )I meet
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ASF GitHub Bot updated SPARK-45664:
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Labels: pull-request-available (was: )
> Introduce a mapper for orc compression codecs
>
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Jiaan Geng updated SPARK-45664:
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Description:
Currently, Spark supported all the orc compression codecs, but the orc
supported
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Jiaan Geng updated SPARK-45664:
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Description:
Currently, Spark supported all the orc compression codecs, but the orc
supported
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ASF GitHub Bot reassigned SPARK-45481:
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Assignee: Apache Spark (was: Jiaan Geng)
> Introduce a mapper for parquet
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ASF GitHub Bot reassigned SPARK-45481:
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Assignee: Jiaan Geng (was: Apache Spark)
> Introduce a mapper for parquet
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Jiaan Geng updated SPARK-45481:
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Description:
Currently, Spark supported all the parquet compression codecs, but the parquet
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ASF GitHub Bot updated SPARK-45663:
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Labels: pull-request-available (was: )
> Replace `IterableOnceOps#aggregate` with
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ASF GitHub Bot reassigned SPARK-45663:
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Assignee: (was: Apache Spark)
> Replace `IterableOnceOps#aggregate` with
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ASF GitHub Bot reassigned SPARK-45663:
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Assignee: Apache Spark
> Replace `IterableOnceOps#aggregate` with
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ASF GitHub Bot reassigned SPARK-45629:
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Assignee: (was: Apache Spark)
> Fix `Implicit definition should have explicit
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ASF GitHub Bot reassigned SPARK-45629:
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Assignee: Apache Spark
> Fix `Implicit definition should have explicit type`
>
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ASF GitHub Bot reassigned SPARK-45661:
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Assignee: Apache Spark
> Add toNullable in StructType, MapType and ArrayType
>
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ASF GitHub Bot reassigned SPARK-45661:
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Assignee: (was: Apache Spark)
> Add toNullable in StructType, MapType and
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ASF GitHub Bot updated SPARK-45629:
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Labels: pull-request-available (was: )
> Fix `Implicit definition should have explicit
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ASF GitHub Bot reassigned SPARK-45606:
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Assignee: Jiaan Geng (was: Apache Spark)
> Release restrictions on multi-layer
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ASF GitHub Bot reassigned SPARK-45606:
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Assignee: Apache Spark (was: Jiaan Geng)
> Release restrictions on multi-layer
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ASF GitHub Bot reassigned SPARK-45606:
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Assignee: Jiaan Geng (was: Apache Spark)
> Release restrictions on multi-layer
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ASF GitHub Bot reassigned SPARK-45606:
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Assignee: Apache Spark (was: Jiaan Geng)
> Release restrictions on multi-layer
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https://issues.apache.org/jira/browse/SPARK-39910?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot reassigned SPARK-39910:
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Assignee: (was: Apache Spark)
> DataFrameReader API cannot read files from
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ASF GitHub Bot reassigned SPARK-39910:
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Assignee: Apache Spark
> DataFrameReader API cannot read files from hadoop archives
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Lantao Jin commented on SPARK-44124:
Is it possible to convert this JIRA to an issue for adding more
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Lantao Jin commented on SPARK-44124:
Added a design doc (more like a plan) in description.
>
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Lantao Jin updated SPARK-44124:
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Description:
Here is a design doc:
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Hyukjin Kwon reassigned SPARK-45656:
Assignee: Takuya Ueshin
> Fix observation when named observations with the same name on
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Hyukjin Kwon resolved SPARK-45656.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43519
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Hyukjin Kwon commented on SPARK-45662:
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Can you provide a reproducer please
> Pyspark union
Yang Jie created SPARK-45663:
Summary: Replace `IterableOnceOps#aggregate` with
`IterableOnceOps#foldLeft`
Key: SPARK-45663
URL: https://issues.apache.org/jira/browse/SPARK-45663
Project: Spark
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Yang Jie commented on SPARK-45650:
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Do you have a more detailed error stack? `[info] [launcher] getting
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ASF GitHub Bot updated SPARK-45660:
---
Labels: pull-request-available (was: )
> Re-use Literal objects when replacing timestamps
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Yi Zhu commented on SPARK-45662:
ping [~gurwls223] Could you take a look? I have checked that the env is
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Yi Zhu updated SPARK-45662:
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Description:
!image-2023-10-25-15-01-28-896.png|width=1795,height=194!
The code is
{code:java}
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Yi Zhu updated SPARK-45662:
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Attachment: image-2023-10-25-15-01-28-896.png
> Pyspark union method throw
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Yi Zhu updated SPARK-45662:
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Description: !image-2023-10-25-15-01-28-896.png|width=1795,height=194!
> Pyspark union method throw
Yi Zhu created SPARK-45662:
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Summary: Pyspark union method throw
'pyspark.sql.utils.IllegalArgumentException: requirement failed'
Key: SPARK-45662
URL: https://issues.apache.org/jira/browse/SPARK-45662
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https://issues.apache.org/jira/browse/SPARK-45640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-45640:
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Fix Version/s: 3.4.2
3.5.1
> Fix flaky ProtobufCatalystDataConversionSuite
>
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https://issues.apache.org/jira/browse/SPARK-45588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-45588:
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Fix Version/s: 3.4.2
3.5.1
> Minor scaladoc improvement in
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ASF GitHub Bot updated SPARK-45661:
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Labels: pull-request-available (was: )
> Add toNullable in StructType, MapType and
Hyukjin Kwon created SPARK-45661:
Summary: Add toNullable in StructType, MapType and ArrayType
Key: SPARK-45661
URL: https://issues.apache.org/jira/browse/SPARK-45661
Project: Spark
Issue
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Berg Lloyd-Haig commented on SPARK-43108:
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We are hitting this when reading from Snowflake using
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https://issues.apache.org/jira/browse/SPARK-45644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Adi Wehrli updated SPARK-45644:
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Description:
I do not really know if this is a bug, but I am at the end with my knowledge.
A Spark
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Adi Wehrli updated SPARK-45644:
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Issue Type: Bug (was: Question)
> After upgrading to Spark 3.4.1 and 3.5.0 we receive
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