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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
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Dor Kedem commented on SPARK-22796:
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Thanks for your work. Isn't there a PR for this i
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Apache Spark commented on SPARK-24530:
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User 'gatorsmile' has created a pull reques
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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
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angerszhu commented on SPARK-27602:
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Want to do this need to change the calculate mode
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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
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Andres Fernandez updated SPARK-27613:
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Component/s: (was: Spark Core)
PySpark
> Caching an RDD composed of
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Andres Fernandez updated SPARK-27613:
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Description:
(Code included at the bottom)
The function "+create_dataframes_from_azure_
Andres Fernandez created SPARK-27613:
Summary: Caching an RDD composed of Row Objects produces some kind
of key recombination
Key: SPARK-27613
URL: https://issues.apache.org/jira/browse/SPARK-27613
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Dongjoon Hyun updated SPARK-24422:
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Fix Version/s: 3.0.0
> Add JDK11 in our Jenkins' build servers
> -
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Dongjoon Hyun commented on SPARK-24422:
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Thank you, [~shaneknapp]! :D
> Add JDK11
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Dongjoon Hyun resolved SPARK-27608.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 3.0.0
This is resol
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shane knapp commented on SPARK-24422:
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yeah, i think so!
On Tue, Apr 30, 2019 at 2:
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shane knapp resolved SPARK-24422.
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Resolution: Fixed
> Add JDK11 in our Jenkins' build servers
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Xingbo Jiang commented on SPARK-18406:
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This problem still exists in PythonRunner,
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:44 PM:
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Stavros Kontopoulos commented on SPARK-27598:
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@[~dongjoon] I am wondering i
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:39 PM:
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Stavros Kontopoulos commented on SPARK-27598:
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Btw if I do the trick and put
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Hyukjin Kwon resolved SPARK-27591.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24496
[https://gi
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Hyukjin Kwon reassigned SPARK-27591:
Assignee: Artem Kalchenko
> A bug in UnivocityParser prevents using UDT
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Bryan Cutler commented on SPARK-27519:
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I made SPARK-27612 for the problem with {{R
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Bryan Cutler updated SPARK-27612:
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Description:
When creating a DataFrame with type {{ArrayType(IntegerType(), True)}} there
ends
Bryan Cutler created SPARK-27612:
Summary: Creating a DataFrame in PySpark with ArrayType produces
some Rows with Arrays of None
Key: SPARK-27612
URL: https://issues.apache.org/jira/browse/SPARK-27612
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Dongjoon Hyun edited comment on SPARK-27598 at 4/30/19 11:24 PM:
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Dongjoon Hyun commented on SPARK-27598:
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Thanks!
> DStreams checkpointing does no
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Sean Owen updated SPARK-27611:
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Priority: Minor (was: Major)
Agree, exclude the jakarta one.
> Redundant javax.activation dependenci
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:21 PM:
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Hyukjin Kwon commented on SPARK-27593:
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Malformed column is just optional additiona
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:16 PM:
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:15 PM:
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:14 PM:
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Stavros Kontopoulos edited comment on SPARK-27598 at 4/30/19 11:13 PM:
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Stavros Kontopoulos updated SPARK-27598:
Summary: DStreams checkpointing does not work with the Spark Shell (was:
DStreams
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Stavros Kontopoulos commented on SPARK-27598:
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I will remove the language v
Cheng Lian created SPARK-27611:
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Summary: Redundant javax.activation dependencies in the Maven build
Key: SPARK-27611
URL: https://issues.apache.org/jira/browse/SPARK-27611
Project: Spark
Issue
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Bryan Cutler resolved SPARK-27519.
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Resolution: Fixed
Fix Version/s: 3.0.0
Problem does not happen when running the latest
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Bryan Cutler edited comment on SPARK-27519 at 4/30/19 10:49 PM:
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Bryan Cutler updated SPARK-27519:
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Affects Version/s: (was: 3.0.0)
> Pandas udf corrupting data
> --
>
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Bryan Cutler commented on SPARK-27519:
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Thanks for the script [~f7faf8ba36], I was
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Dongjoon Hyun commented on SPARK-27598:
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If this fails with Spark 2.3 with Scala 2
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Dongjoon Hyun commented on SPARK-27598:
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Thank you for reporting, [~skonto].
BTW,
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Apache Spark reassigned SPARK-27610:
Assignee: Apache Spark
> Yarn external shuffle service fails to start when spark.shuffle.
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Apache Spark reassigned SPARK-27610:
Assignee: (was: Apache Spark)
> Yarn external shuffle service fails to start when spa
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Adrian Muraru updated SPARK-27610:
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Description:
Enabling netty epoll mode in yarn shuffle service
({{spark.shuffle.io.mode=EPOLL
Adrian Muraru created SPARK-27610:
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Summary: Yarn external shuffle service fails to start when
spark.shuffle.io.mode=EPOLL
Key: SPARK-27610
URL: https://issues.apache.org/jira/browse/SPARK-27610
Proje
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Apache Spark reassigned SPARK-27608:
Assignee: Apache Spark
> Upgrade Surefire plugin to 3.0.0-M3
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Apache Spark reassigned SPARK-27608:
Assignee: (was: Apache Spark)
> Upgrade Surefire plugin to 3.0.0-M3
> ---
Zachary Jablons created SPARK-27609:
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Summary: [Documentation Issue?] from_json expects values of
options dictionary to be
Key: SPARK-27609
URL: https://issues.apache.org/jira/browse/SPARK-27609
Pr
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Dongjoon Hyun updated SPARK-27608:
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Component/s: (was: Tests)
Build
> Upgrade Surefire plugin to 3.0.0-M3
> -
Dongjoon Hyun created SPARK-27608:
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Summary: Upgrade Surefire plugin to 3.0.0-M3
Key: SPARK-27608
URL: https://issues.apache.org/jira/browse/SPARK-27608
Project: Spark
Issue Type: Sub-task
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Dongjoon Hyun commented on SPARK-24422:
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Hi, [~dbtsai] and [~shaneknapp].
Can we r
Josh Rosen created SPARK-27607:
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Summary: Improve performance of Row.toString()
Key: SPARK-27607
URL: https://issues.apache.org/jira/browse/SPARK-27607
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-27548:
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User 'BryanCutler' has created a pull reque
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Apache Spark reassigned SPARK-27548:
Assignee: (was: Apache Spark)
> PySpark toLocalIterator does not raise errors from wo
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Apache Spark reassigned SPARK-27548:
Assignee: Apache Spark
> PySpark toLocalIterator does not raise errors from worker
>
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Dongjoon Hyun updated SPARK-24601:
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Fix Version/s: (was: 2.4.3)
> Bump Jackson version to 2.9.6
>
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Dongjoon Hyun updated SPARK-27051:
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Fix Version/s: (was: 2.4.3)
> Bump Jackson version to 2.9.8
>
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Ladislav Jech edited comment on SPARK-27593 at 4/30/19 7:12 PM:
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Ladislav Jech reopened SPARK-27593:
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As per comment, please review again.
> CSV Parser returns 2 DataFrame - Valid and Malformed DFs
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Ladislav Jech commented on SPARK-27593:
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[~hyukjin.kwon] - Then return optionally
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Nick Dimiduk commented on SPARK-27597:
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{quote}bq. Do you want to access {{SparkSes
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Bryan Cutler commented on SPARK-27463:
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I left some comments on the doc. Overall, I
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Martin Studer commented on SPARK-27566:
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Hi [~hyukjin.kwon], I try to collect more
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colin fang commented on SPARK-17859:
The above case works for me in v2.4
{code:java}
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Hyukjin Kwon resolved SPARK-27566.
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Resolution: Incomplete
No feedback
> SIGSEV in Spark SQL during broadcast
> -
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Hyukjin Kwon resolved SPARK-27574.
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Resolution: Invalid
If it's asking for help to diagnose symptoms, ask it to mailing list befor
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Hyukjin Kwon resolved SPARK-27582.
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Resolution: Won't Fix
I don't think we should add a set of aliases. The way of them looks alre
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Hyukjin Kwon resolved SPARK-27585.
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Resolution: Duplicate
> No such method error (sun.nio.ch.DirectBuffer.cleaner())
> ---
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Hyukjin Kwon commented on SPARK-27585:
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It was not added. Please search JIRAs next
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Hyukjin Kwon updated SPARK-27585:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-24417
> No such method error (sun.nio.ch.
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Hyukjin Kwon resolved SPARK-27587.
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Resolution: Duplicate
> No such method error (sun.nio.ch.DirectBuffer.cleaner()) when reading
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Hyukjin Kwon resolved SPARK-27593.
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Resolution: Won't Fix
Malformed column is just an informative field. I don't think we need a s
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Hyukjin Kwon commented on SPARK-27595:
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Don't set Critical+ which is reserved for c
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Hyukjin Kwon resolved SPARK-27594.
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Resolution: Cannot Reproduce
> spark.sql.orc.enableVectorizedReader causes milliseconds in Tim
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Hyukjin Kwon resolved SPARK-27595.
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Resolution: Not A Problem
> Spark couldn't read partitioned(string type) Orc column correctly
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Hyukjin Kwon updated SPARK-27595:
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Description:
{code}
create external table unique_keys (
key string
,locator_id string
, creat
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Hyukjin Kwon updated SPARK-27595:
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Priority: Major (was: Critical)
> Spark couldn't read partitioned(string type) Orc column corre
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Hyukjin Kwon resolved SPARK-27597.
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Resolution: Not A Problem
> RuntimeConfig should be serializable
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Hyukjin Kwon commented on SPARK-27597:
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Yes .. I don't think it's meant to be acces
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Hyukjin Kwon commented on SPARK-27600:
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Doesn't look like Spark issue. looks no evi
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Hyukjin Kwon resolved SPARK-27600.
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Resolution: Invalid
> Unable to start Spark Hive Thrift Server when multiple hive server serve
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https://issues.apache.org/jira/browse/SPARK-27602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16830455#comment-16830455
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Hyukjin Kwon commented on SPARK-27602:
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So, what's proposal to fix it?
> SparkSQL
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https://issues.apache.org/jira/browse/SPARK-27606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27606:
Assignee: (was: Apache Spark)
> Deprecate `extended` field in ExpressionDescription/E
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https://issues.apache.org/jira/browse/SPARK-27606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27606:
Assignee: Apache Spark
> Deprecate `extended` field in ExpressionDescription/ExpressionIn
Hyukjin Kwon created SPARK-27606:
Summary: Deprecate `extended` field in
ExpressionDescription/ExpressionInfo
Key: SPARK-27606
URL: https://issues.apache.org/jira/browse/SPARK-27606
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-25888?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25888:
Assignee: Apache Spark
> Service requests for persist() blocks via external service after
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https://issues.apache.org/jira/browse/SPARK-25888?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25888:
Assignee: (was: Apache Spark)
> Service requests for persist() blocks via external se
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https://issues.apache.org/jira/browse/SPARK-27605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27605:
Assignee: Apache Spark
> Add new column "Partition ID" to the tasks table in stages page
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https://issues.apache.org/jira/browse/SPARK-27605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27605:
Assignee: (was: Apache Spark)
> Add new column "Partition ID" to the tasks table in s
Parth Gandhi created SPARK-27605:
Summary: Add new column "Partition ID" to the tasks table in
stages page
Key: SPARK-27605
URL: https://issues.apache.org/jira/browse/SPARK-27605
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-27591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27591:
Assignee: Apache Spark
> A bug in UnivocityParser prevents using UDT
> --
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https://issues.apache.org/jira/browse/SPARK-27591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27591:
Assignee: (was: Apache Spark)
> A bug in UnivocityParser prevents using UDT
> ---
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https://issues.apache.org/jira/browse/SPARK-27597?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16830179#comment-16830179
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Liang-Chi Hsieh commented on SPARK-27597:
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Do you want to access {{SparkSession}
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https://issues.apache.org/jira/browse/SPARK-27604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27604:
Assignee: Apache Spark
> Enhance constant and constraint propagation
> --
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https://issues.apache.org/jira/browse/SPARK-27604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27604:
Assignee: (was: Apache Spark)
> Enhance constant and constraint propagation
> ---
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https://issues.apache.org/jira/browse/SPARK-27595?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16830165#comment-16830165
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Liang-Chi Hsieh commented on SPARK-27595:
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Is turning off {{spark.sql.sources.pa
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