Linhong Liu created SPARK-32898:
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Summary: totalExecutorRunTimeMs is too big
Key: SPARK-32898
URL: https://issues.apache.org/jira/browse/SPARK-32898
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-32804:
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User 'KevinSmile' has created a pull request for this
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Apache Spark commented on SPARK-32804:
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User 'KevinSmile' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196651#comment-17196651
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Hyukjin Kwon commented on SPARK-32894:
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How did you create the Hive table?
> Timestamp cast in
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Apache Spark reassigned SPARK-32897:
Assignee: Apache Spark
> SparkSession.builder.getOrCreate should not show deprecation
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Apache Spark reassigned SPARK-32897:
Assignee: (was: Apache Spark)
> SparkSession.builder.getOrCreate should not show
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Apache Spark commented on SPARK-32897:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32688?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takeshi Yamamuro resolved SPARK-32688.
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Fix Version/s: 3.1.0
3.02
Assignee: Tanel Kiis
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Apache Spark reassigned SPARK-32896:
Assignee: Apache Spark (was: Jungtaek Lim)
> Add DataStreamWriter.table API
>
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Apache Spark commented on SPARK-32896:
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User 'HeartSaVioR' has created a pull request for this
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Apache Spark reassigned SPARK-32896:
Assignee: Jungtaek Lim (was: Apache Spark)
> Add DataStreamWriter.table API
>
Hyukjin Kwon created SPARK-32897:
Summary: SparkSession.builder.getOrCreate should not show
deprecation warning of SQLContext
Key: SPARK-32897
URL: https://issues.apache.org/jira/browse/SPARK-32897
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https://issues.apache.org/jira/browse/SPARK-32187?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196634#comment-17196634
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Hyukjin Kwon commented on SPARK-32187:
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Thank you so much [~fhoering]!
> User Guide - Shipping
Jungtaek Lim created SPARK-32896:
Summary: Add DataStreamWriter.table API
Key: SPARK-32896
URL: https://issues.apache.org/jira/browse/SPARK-32896
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-32704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196613#comment-17196613
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Apache Spark commented on SPARK-32704:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196612#comment-17196612
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Apache Spark commented on SPARK-32704:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32888?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-32888:
Assignee: (was: Apache Spark)
> reading a parallized rdd with two identical records
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Apache Spark commented on SPARK-32888:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-32888:
Assignee: Apache Spark
> reading a parallized rdd with two identical records results in
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L. C. Hsieh commented on SPARK-32888:
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This was documented in CSV related codes, although it seems
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L. C. Hsieh updated SPARK-32888:
Issue Type: Documentation (was: Bug)
> reading a parallized rdd with two identical records
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Yuming Wang updated SPARK-32891:
Description:
It sounds like {{UTF8String.trim}} is not implemented well. We may need to look
at
Sebastian Herold created SPARK-32895:
Summary: DataSourceV2 allow ACCEPT_ANY_SCHEMA in write path
Key: SPARK-32895
URL: https://issues.apache.org/jira/browse/SPARK-32895
Project: Spark
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L. C. Hsieh updated SPARK-32893:
Priority: Major (was: Blocker)
> Structured Streaming and Dynamic Allocation on
Grigory Skvortsov created SPARK-32894:
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Summary: Timestamp cast in exernal ocr table
Key: SPARK-32894
URL: https://issues.apache.org/jira/browse/SPARK-32894
Project: Spark
Issue Type:
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Duarte Ferreira updated SPARK-32893:
Priority: Blocker (was: Major)
> Structured Streaming and Dynamic Allocation on
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Apache Spark commented on SPARK-32738:
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User 'wzhfy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-32738?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196432#comment-17196432
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Apache Spark commented on SPARK-32738:
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User 'wzhfy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-32738?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196300#comment-17196300
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Apache Spark commented on SPARK-32738:
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User 'wzhfy' has created a pull request for this issue:
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Apache Spark commented on SPARK-32738:
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User 'wzhfy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-32884?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun resolved SPARK-32884.
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Fix Version/s: 3.1.0
Assignee: Dongjoon Hyun
Resolution: Fixed
> Mark
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Wenchen Fan resolved SPARK-32827.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29688
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Wenchen Fan reassigned SPARK-32827:
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Assignee: ulysses you
> Add spark.sql.maxMetadataStringLength config
>
Duarte Ferreira created SPARK-32893:
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Summary: Structured Streaming and Dynamic Allocation on
StandaloneCluster
Key: SPARK-32893
URL: https://issues.apache.org/jira/browse/SPARK-32893
Project:
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Apache Spark commented on SPARK-32892:
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User 'mundaym' has created a pull request for this issue:
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Apache Spark commented on SPARK-32892:
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User 'mundaym' has created a pull request for this issue:
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Apache Spark reassigned SPARK-32892:
Assignee: Apache Spark
> Murmur3 and xxHash64 implementations do not produce the correct
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Apache Spark reassigned SPARK-32892:
Assignee: (was: Apache Spark)
> Murmur3 and xxHash64 implementations do not produce
Michael Munday created SPARK-32892:
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Summary: Murmur3 and xxHash64 implementations do not produce the
correct results on big-endian platforms
Key: SPARK-32892
URL:
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https://issues.apache.org/jira/browse/SPARK-31448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen reassigned SPARK-31448:
Assignee: Abhishek Dixit
> Difference in Storage Levels used in cache() and persist()
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Sean R. Owen resolved SPARK-31448.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29242
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Sean R. Owen commented on SPARK-32891:
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Can you inline a basic description here? what are you
Yuming Wang created SPARK-32891:
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Summary: Enhance UTF8String.trim
Key: SPARK-32891
URL: https://issues.apache.org/jira/browse/SPARK-32891
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-32889:
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User 'jzc928' has created a pull request for this issue:
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Apache Spark reassigned SPARK-32889:
Assignee: (was: Apache Spark)
> orc table column name doesn't support special
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Apache Spark reassigned SPARK-32889:
Assignee: Apache Spark
> orc table column name doesn't support special characters.
>
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Apache Spark reassigned SPARK-32890:
Assignee: Apache Spark
> Pass all `sql/hive` module UTs in Scala 2.13
>
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Apache Spark commented on SPARK-32890:
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User 'LuciferYang' has created a pull request for this
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Apache Spark reassigned SPARK-32890:
Assignee: (was: Apache Spark)
> Pass all `sql/hive` module UTs in Scala 2.13
>
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Wenchen Fan resolved SPARK-32874.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29746
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Wenchen Fan reassigned SPARK-32874:
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Assignee: Kent Yao
> Enhance result set meta data check for execute statement operation
Yang Jie created SPARK-32890:
Summary: Pass all `sql/hive` module UTs in Scala 2.13
Key: SPARK-32890
URL: https://issues.apache.org/jira/browse/SPARK-32890
Project: Spark
Issue Type: Sub-task
jason jin created SPARK-32889:
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Summary: orc table column name doesn't support special characters.
Key: SPARK-32889
URL: https://issues.apache.org/jira/browse/SPARK-32889
Project: Spark
Issue
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Apache Spark commented on SPARK-32887:
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User 'Udbhav30' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-32481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196025#comment-17196025
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Apache Spark commented on SPARK-32481:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196023#comment-17196023
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Apache Spark commented on SPARK-32481:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32887?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196022#comment-17196022
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Apache Spark commented on SPARK-32887:
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User 'Udbhav30' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-32887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-32887:
Assignee: (was: Apache Spark)
> Example command in
>
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Apache Spark reassigned SPARK-32887:
Assignee: Apache Spark
> Example command in
>
Punit Shah created SPARK-32888:
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Summary: reading a parallized rdd with two identical records
results in a zero count df when read via spark.read.csv
Key: SPARK-32888
URL:
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https://issues.apache.org/jira/browse/SPARK-28210?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17196013#comment-17196013
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Attila Zsolt Piros edited comment on SPARK-28210 at 9/15/20, 9:38 AM:
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Attila Zsolt Piros commented on SPARK-28210:
[~tianczha] [~devaraj] I would like to work on
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Apache Spark commented on SPARK-32886:
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User 'zhli1142015' has created a pull request for this
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Apache Spark reassigned SPARK-32886:
Assignee: Apache Spark
> '.../jobs/undefined' link from "Event Timeline" in jobs page
>
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Apache Spark reassigned SPARK-32886:
Assignee: (was: Apache Spark)
> '.../jobs/undefined' link from "Event Timeline" in
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Apache Spark reassigned SPARK-32886:
Assignee: Apache Spark
> '.../jobs/undefined' link from "Event Timeline" in jobs page
>
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Udbhav Agrawal commented on SPARK-32887:
Thanks for reporting, seems to be a documenting typo
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Chetan Bhat updated SPARK-32887:
Description:
In the link
Chetan Bhat created SPARK-32887:
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Summary: Example command in
https://spark.apache.org/docs/latest/sql-ref-syntax-aux-show-table.html to be
changed
Key: SPARK-32887
URL:
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https://issues.apache.org/jira/browse/SPARK-32578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takeshi Yamamuro resolved SPARK-32578.
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Resolution: Invalid
> PageRank not sending the correct values in Pergel sendMessage
>
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Shay Elbaz commented on SPARK-32578:
It turned out the problem was in my benchmark, sorry about
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Zhen Li updated SPARK-32886:
Attachment: undefinedlink.JPG
> '.../jobs/undefined' link from EvenTimeline view
>
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Zhen Li updated SPARK-32886:
Summary: '.../jobs/undefined' link from "Event Timeline" in jobs page
(was: '.../jobs/undefined' link
Zhen Li created SPARK-32886:
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Summary: '.../jobs/undefined' link from EvenTimeline view
Key: SPARK-32886
URL: https://issues.apache.org/jira/browse/SPARK-32886
Project: Spark
Issue Type: Bug
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Wenchen Fan reassigned SPARK-32738:
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Assignee: Zhenhua Wang
> thread safe endpoints may hang due to fatal error
>
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Wenchen Fan resolved SPARK-32738.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29580
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https://issues.apache.org/jira/browse/SPARK-32872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17195907#comment-17195907
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Dongjoon Hyun commented on SPARK-32872:
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Thank you for updating, [~ankurd]!
> BytesToBytesMap at
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Hyukjin Kwon resolved SPARK-32454.
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Resolution: Duplicate
> Fix HistoryServerSuite in Scala 2.13
>
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Apache Spark commented on SPARK-32885:
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User 'xuanyuanking' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-32885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-32885:
Assignee: (was: Apache Spark)
> Add DataStreamReader.table API
>
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Apache Spark reassigned SPARK-32885:
Assignee: Apache Spark
> Add DataStreamReader.table API
> --
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https://issues.apache.org/jira/browse/SPARK-32879?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-32879.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29752
Yuanjian Li created SPARK-32885:
---
Summary: Add DataStreamReader.table API
Key: SPARK-32885
URL: https://issues.apache.org/jira/browse/SPARK-32885
Project: Spark
Issue Type: New Feature
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