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angerszhu updated SPARK-37967:
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Summary: ConstantFolding/ Literal.create support ObjectType (was: Literal
support ObjectType)
>
angerszhu created SPARK-37967:
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Summary: Literal support ObjectType
Key: SPARK-37967
URL: https://issues.apache.org/jira/browse/SPARK-37967
Project: Spark
Issue Type: Task
Components:
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Hyukjin Kwon commented on SPARK-37948:
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The problem is that users might intentionally enable v2
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Hyukjin Kwon updated SPARK-37954:
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Component/s: SQL
> old columns should not be available after select or drop
>
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Wenchen Fan resolved SPARK-37839.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35130
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Wenchen Fan reassigned SPARK-37839:
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Assignee: jiaan.geng
> DS V2 supports partial aggregate push-down AVG
>
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Apache Spark reassigned SPARK-37966:
Assignee: Apache Spark
> Static insert should write _SUCCESS under partition path
>
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Apache Spark reassigned SPARK-37966:
Assignee: (was: Apache Spark)
> Static insert should write _SUCCESS under partition
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Apache Spark commented on SPARK-37966:
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User 'AngersZh' has created a pull request for this
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Apache Spark commented on SPARK-37965:
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User 'AngersZh' has created a pull request for this
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Apache Spark reassigned SPARK-37965:
Assignee: Apache Spark
> Remove check field name when reading/writing existing data in
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Apache Spark reassigned SPARK-37965:
Assignee: (was: Apache Spark)
> Remove check field name when reading/writing
angerszhu created SPARK-37966:
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Summary: Static insert should write _SUCCESS under partition path
Key: SPARK-37966
URL: https://issues.apache.org/jira/browse/SPARK-37966
Project: Spark
Issue
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angerszhu updated SPARK-37965:
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Summary: Remove check field name when reading/writing existing data in ORC
(was: Remove check field
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angerszhu updated SPARK-37965:
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Description: Remove check field name when reading existing data in Orc
> Remove check field name when
angerszhu created SPARK-37965:
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Summary: Remove check field name when reading existing data in
parquet
Key: SPARK-37965
URL: https://issues.apache.org/jira/browse/SPARK-37965
Project: Spark
Venkata krishnan Sowrirajan created SPARK-37964:
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Summary: Replace usages of slaveTracker to workerTracker in
MapOutputTrackerSuite
Key: SPARK-37964
URL:
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Chao Sun updated SPARK-37957:
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Fix Version/s: 3.2.1
> Deterministic flag is not handled for V2 functions
>
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Chao Sun resolved SPARK-37957.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35243
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Apache Spark reassigned SPARK-37154:
Assignee: (was: Apache Spark)
> Inline type hints for python/pyspark/rdd.py
>
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Apache Spark reassigned SPARK-37154:
Assignee: Apache Spark
> Inline type hints for python/pyspark/rdd.py
>
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Apache Spark commented on SPARK-37154:
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User 'zero323' has created a pull request for this issue:
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Dongjoon Hyun closed SPARK-37910.
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> Spark executor self-exiting due to driver disassociated in Kubernetes with
> client deploy-mode
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Dongjoon Hyun resolved SPARK-37910.
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Resolution: Invalid
> Spark executor self-exiting due to driver disassociated in Kubernetes
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Dongjoon Hyun commented on SPARK-37910:
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Hi, [~Silen].
Apache Spark JIRA issue is not supposed to
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Dongjoon Hyun commented on SPARK-24432:
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[~pralabhkumar]. What you are looking at is not a single
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Sean R. Owen reassigned SPARK-37934:
Assignee: Sajith A
> Upgrade Jetty version to 9.4.44
> ---
>
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Sean R. Owen resolved SPARK-37934.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35230
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Sean R. Owen updated SPARK-37934:
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Issue Type: Improvement (was: Bug)
> Upgrade Jetty version to 9.4.44
>
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Kiran commented on SPARK-37690:
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Got this issue with spark 3.2.0. Looking for workarounds but none worked
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Chao Sun reassigned SPARK-37928:
Assignee: Yang Jie
> Add Parquet Data Page V2 bench scenario to DataSourceReadBenchmark
>
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Chao Sun resolved SPARK-37928.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35226
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Huaxin Gao resolved SPARK-37959.
Fix Version/s: 3.2.1
3.3.0
Assignee: zhengruifeng (was: Apache Spark)
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Wenchen Fan commented on SPARK-32165:
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I'm closing this as it won't happen in the real world. There
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Wenchen Fan resolved SPARK-32165.
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Resolution: Not A Problem
> SessionState leaks SparkListener with multiple SparkSession
>
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Sean R. Owen commented on SPARK-30661:
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How much difference does it make? I'm weighing the cost of
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Andreas Chatzistergiou resolved SPARK-37955.
Resolution: Not A Bug
> PartitioningAwareFileIndex->basePath incorrectly
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Apache Spark commented on SPARK-37963:
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User 'gengliangwang' has created a pull request for this
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Apache Spark reassigned SPARK-37963:
Assignee: Gengliang Wang (was: Apache Spark)
> Need to update Partition URI after
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Apache Spark reassigned SPARK-37963:
Assignee: Apache Spark (was: Gengliang Wang)
> Need to update Partition URI after
Gengliang Wang created SPARK-37963:
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Summary: Need to update Partition URI after renaming table in
InMemoryCatalog
Key: SPARK-37963
URL: https://issues.apache.org/jira/browse/SPARK-37963
Project:
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https://issues.apache.org/jira/browse/SPARK-24432?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17478618#comment-17478618
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pralabhkumar commented on SPARK-24432:
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[~dongjoon]
one quick question .
- The K8s dynamic
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Kevin Wallimann commented on SPARK-34805:
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The problem happens in Scala as well. I attached a
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Kevin Wallimann updated SPARK-34805:
Attachment: nested_columns_metadata.scala
> PySpark loses metadata in DataFrame fields
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Zhixiong Chen commented on SPARK-37932:
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I'm working on
> Analyzer can fail when join left side
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Feng Zhu edited comment on SPARK-37932 at 1/19/22, 10:31 AM:
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test
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Feng Zhu edited comment on SPARK-37932 at 1/19/22, 10:30 AM:
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test
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Feng Zhu commented on SPARK-37932:
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test
{code:scala}
test("SPARK-37932: view join view self with
[ https://issues.apache.org/jira/browse/SPARK-37932 ]
Feng Zhu deleted comment on SPARK-37932:
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was (Author: fishcus):
{code:scala}
{code}
> Analyzer can fail when join left side and right side are the same view
>
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Feng Zhu commented on SPARK-37932:
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{code:scala}
{code}
> Analyzer can fail when join left side and
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Petri commented on SPARK-37910:
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Also the error message we get in the executor is pretty vague:
Executor
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Petri commented on SPARK-37910:
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In deployment.yaml we have:
* name: POD_NAME
valueFrom:
fieldRef:
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Jinpeng Chi commented on SPARK-37962:
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The root cause was that the link I had encoded was decoded
>
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Jinpeng Chi updated SPARK-37962:
Description:
When my Jar link address is encoded, the Jar cannot be pulled correctly
Log:
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Jinpeng Chi updated SPARK-37962:
Attachment: image-2022-01-19-17-21-53-011.png
> Cannot fetch remote jar correctly
>
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Jinpeng Chi updated SPARK-37962:
Attachment: image-2022-01-19-17-18-24-795.png
> Cannot fetch remote jar correctly
>
Jinpeng Chi created SPARK-37962:
---
Summary: Cannot fetch remote jar correctly
Key: SPARK-37962
URL: https://issues.apache.org/jira/browse/SPARK-37962
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-37961:
Assignee: (was: Apache Spark)
> override maxRows/maxRowsPerPartition for some
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Apache Spark commented on SPARK-37915:
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User 'wangyum' has created a pull request for this issue:
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Apache Spark reassigned SPARK-37961:
Assignee: Apache Spark
> override maxRows/maxRowsPerPartition for some logical operators
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Apache Spark commented on SPARK-37961:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-37960:
Assignee: (was: Apache Spark)
> Support aggregate push down SUM(CASE ... WHEN ...
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Apache Spark reassigned SPARK-37960:
Assignee: Apache Spark
> Support aggregate push down SUM(CASE ... WHEN ... ELSE ... END)
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Apache Spark commented on SPARK-37960:
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User 'beliefer' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-37951?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-37951:
---
Assignee: angerszhu
> Refactor ImageFileFormatSuite
> -
>
>
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Wenchen Fan resolved SPARK-37951.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35237
zhengruifeng created SPARK-37961:
Summary: override maxRows/maxRowsPerPartition for some logical
operators
Key: SPARK-37961
URL: https://issues.apache.org/jira/browse/SPARK-37961
Project: Spark
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jiaan.geng updated SPARK-37960:
---
Description:
Currently, Spark supports aggregate push down SUM(column) into JDBC data source.
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jiaan.geng updated SPARK-37960:
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Summary: Support aggregate push down SUM(CASE ... WHEN ... ELSE ... END)
(was: Support complete
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zhengruifeng commented on SPARK-30661:
--
recently, I spend some time on testing blockify kmeans and
jiaan.geng created SPARK-37960:
--
Summary: Support complete push down SUM(CASE ... WHEN ... ELSE ...
END)
Key: SPARK-37960
URL: https://issues.apache.org/jira/browse/SPARK-37960
Project: Spark
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Apache Spark reassigned SPARK-37959:
Assignee: Apache Spark
> Fix the UT of checking norm in KMeans & BiKMeans
>
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Apache Spark reassigned SPARK-37959:
Assignee: (was: Apache Spark)
> Fix the UT of checking norm in KMeans & BiKMeans
>
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Apache Spark reassigned SPARK-37959:
Assignee: Apache Spark
> Fix the UT of checking norm in KMeans & BiKMeans
>
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Apache Spark commented on SPARK-37959:
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User 'zhengruifeng' has created a pull request for this
zhengruifeng created SPARK-37959:
Summary: Fix the UT of checking norm in KMeans & BiKMeans
Key: SPARK-37959
URL: https://issues.apache.org/jira/browse/SPARK-37959
Project: Spark
Issue Type:
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