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Thomas Graves reassigned SPARK-22683:
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Assignee: Julien Cuquemelle
> DynamicAllocation wastes resources by allocating
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Apache Spark reassigned SPARK-24072:
Assignee: Wenchen Fan (was: Apache Spark)
> remove unused
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Apache Spark reassigned SPARK-24072:
Assignee: Apache Spark (was: Wenchen Fan)
> remove unused
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Apache Spark commented on SPARK-24072:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24073:
Assignee: Apache Spark
> DataSourceV2: Rename DataReaderFactory back to ReadTask.
>
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Apache Spark commented on SPARK-24073:
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User 'rdblue' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24073:
Assignee: (was: Apache Spark)
> DataSourceV2: Rename DataReaderFactory back to
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Joseph K. Bradley updated SPARK-20114:
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Shepherd: Joseph K. Bradley
> spark.ml parity for sequential pattern mining -
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Apache Spark reassigned SPARK-23654:
Assignee: (was: Apache Spark)
> Cut jets3t as a dependency of spark-core
>
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Joseph K. Bradley updated SPARK-20114:
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Target Version/s: 2.4.0
> spark.ml parity for sequential pattern mining - PrefixSpan
>
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Marco Gaido commented on SPARK-24051:
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[~hvanhovell] I am not sure that the analysis barriers are the
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Tathagata Das resolved SPARK-24056.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21134
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Henry Robinson commented on SPARK-23852:
Yes it has - the Parquet community are going to do a
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Apache Spark reassigned SPARK-23654:
Assignee: Apache Spark
> Cut jets3t as a dependency of spark-core
>
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Joseph K. Bradley reassigned SPARK-20114:
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Assignee: Weichen Xu
> spark.ml parity for sequential pattern mining -
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Apache Spark commented on SPARK-23654:
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User 'steveloughran' has created a pull request for this
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Sean Owen resolved SPARK-24052.
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Resolution: Not A Problem
> Support spark version showing on environment page
>
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Marcelo Vanzin resolved SPARK-23807.
Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20923
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Marcelo Vanzin reassigned SPARK-23807:
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Assignee: Steve Loughran
> Add Hadoop 3 profile with relevant POM fix ups
>
Wenchen Fan created SPARK-24072:
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Summary: remove unused DataSourceV2Relation.pushedFilters
Key: SPARK-24072
URL: https://issues.apache.org/jira/browse/SPARK-24072
Project: Spark
Issue Type:
Ryan Blue created SPARK-24073:
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Summary: DataSourceV2: Rename DataReaderFactory back to ReadTask.
Key: SPARK-24073
URL: https://issues.apache.org/jira/browse/SPARK-24073
Project: Spark
Issue
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Joseph K. Bradley commented on SPARK-23975:
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I merged
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Joseph K. Bradley reassigned SPARK-23975:
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Assignee: Lu Wang
> Allow Clustering to take Arrays of Double as input features
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Herman van Hovell commented on SPARK-24051:
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[~mgaido] do you have any idea why this is failing
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Thomas Graves commented on SPARK-22683:
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Note this added a new config
Hyukjin Kwon created SPARK-24069:
Summary: Add array_max / array_min functions
Key: SPARK-24069
URL: https://issues.apache.org/jira/browse/SPARK-24069
Project: Spark
Issue Type: Sub-task
Xiao Li created SPARK-24070:
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Summary: TPC-DS Performance Tests for Parquet 1.10.0 Upgrade
Key: SPARK-24070
URL: https://issues.apache.org/jira/browse/SPARK-24070
Project: Spark
Issue Type:
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Wenchen Fan updated SPARK-24072:
Summary: clearly define pushed filters (was: remove unused
DataSourceV2Relation.pushedFilters)
>
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Julien Cuquemelle commented on SPARK-22683:
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Thanks for all your comments and proposals :)
>
Xiao Li created SPARK-24071:
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Summary: Micro-benchmark of Parquet Filter Pushdown
Key: SPARK-24071
URL: https://issues.apache.org/jira/browse/SPARK-24071
Project: Spark
Issue Type: Sub-task
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Xiao Li commented on SPARK-24070:
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cc [~maropu]
> TPC-DS Performance Tests for Parquet 1.10.0 Upgrade
>
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Joseph K. Bradley resolved SPARK-23455.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20633
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Joseph K. Bradley resolved SPARK-23990.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21078
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Kazuaki Ishizaki commented on SPARK-23933:
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cc [~smilegator]
> High-order function: map(array,
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Steve Loughran updated SPARK-23654:
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Summary: Cut jets3t as a dependency of spark-core (was: Cut jets3t as a
dependency of
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Apache Spark reassigned SPARK-24069:
Assignee: Apache Spark
> Add array_max / array_min functions
>
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Apache Spark commented on SPARK-24069:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-24069:
Assignee: (was: Apache Spark)
> Add array_max / array_min functions
>
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https://issues.apache.org/jira/browse/SPARK-24043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16450426#comment-16450426
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Apache Spark commented on SPARK-24043:
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User 'bersprockets' has created a pull request for this
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Apache Spark reassigned SPARK-24043:
Assignee: Apache Spark
> InterpretedPredicate.eval fails if expression tree contains
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Apache Spark reassigned SPARK-24043:
Assignee: (was: Apache Spark)
> InterpretedPredicate.eval fails if expression tree
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Nadav Samet updated SPARK-24074:
Environment: (was: {code:java}
// code placeholder
{code})
> Maven package resolver downloads
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Apache Spark commented on SPARK-23799:
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User 'gatorsmile' has created a pull request for this issue:
Nadav Samet created SPARK-24074:
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Summary: Maven package resolver downloads javadoc instead of jar
Key: SPARK-24074
URL: https://issues.apache.org/jira/browse/SPARK-24074
Project: Spark
Issue
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Xiao Li commented on SPARK-24070:
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Yeah, please do it here. Thanks! If you have the bandwidth to write
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Tathagata Das resolved SPARK-24038.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21116
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zhangsongcheng updated SPARK-24078:
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Description:
I try to sample the traning sets with each category，and then uion all samples
Takeshi Yamamuro created SPARK-24079:
Summary: Update the nullability of Join output based on inferred
predicates
Key: SPARK-24079
URL: https://issues.apache.org/jira/browse/SPARK-24079
Project:
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Apache Spark reassigned SPARK-24079:
Assignee: (was: Apache Spark)
> Update the nullability of Join output based on
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Apache Spark reassigned SPARK-24079:
Assignee: Apache Spark
> Update the nullability of Join output based on inferred
Ashish created SPARK-24081:
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Summary: Spark SQL drops the table while writing into table in
"overwrite" mode.
Key: SPARK-24081
URL: https://issues.apache.org/jira/browse/SPARK-24081
Project: Spark
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Tathagata Das reassigned SPARK-24038:
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Assignee: Jose Torres
> refactor continuous write exec to its own class
>
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Hyukjin Kwon updated SPARK-24064:
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Target Version/s: (was: 2.3.1)
Please avoid to set a target version which is usually set by a
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yucai commented on SPARK-24076:
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shuffle.partition = 8192
!p1.png!
shuffle.partition = 8000
!p2.png!
>
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yucai updated SPARK-24076:
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Attachment: p2.png
p1.png
> very bad performance when shuffle.partition = 8192
>
zhangsongcheng created SPARK-24078:
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Summary: reduce with unionAll takes a long time
Key: SPARK-24078
URL: https://issues.apache.org/jira/browse/SPARK-24078
Project: Spark
Issue Type: Bug
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Hyukjin Kwon commented on SPARK-24068:
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Hm, [~maxgekk], btw is this specific to CSV (not, for
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Nadav Samet commented on SPARK-24074:
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I was only able to reproduce this problem with this particular
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Takuya Ueshin resolved SPARK-23821.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20938
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Takuya Ueshin reassigned SPARK-23821:
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Assignee: Marek Novotny
> High-order function: flatten(x) → array
>
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Xiao Li reassigned SPARK-24070:
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Assignee: Takeshi Yamamuro
> TPC-DS Performance Tests for Parquet 1.10.0 Upgrade
>
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Spark User commented on SPARK-5594:
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In my case, this issue was happening when spark context doesn't
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Nadav Samet updated SPARK-24074:
Description:
{code:java}
// code placeholder
{code}
>From some reason spark downloads a javadoc
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Takeshi Yamamuro commented on SPARK-24070:
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ok
> TPC-DS Performance Tests for Parquet 1.10.0
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Hyukjin Kwon updated SPARK-24074:
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Priority: Major (was: Critical)
Please avoid to set Critical+ which is usually reserved for
Benedict Jin created SPARK-24077:
Summary: Why spark SQL not support `CREATE TEMPORARY FUNCTION IF
NOT EXISTS`?
Key: SPARK-24077
URL: https://issues.apache.org/jira/browse/SPARK-24077
Project: Spark
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zhangsongcheng updated SPARK-24078:
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Description:
I try to sample the traning sets with each category，and then uion all samples
Takeshi Yamamuro created SPARK-24080:
Summary: Update the nullability of Filter output based on inferred
predicates
Key: SPARK-24080
URL: https://issues.apache.org/jira/browse/SPARK-24080
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Apache Spark commented on SPARK-24079:
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User 'maropu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24070?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16451404#comment-16451404
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Takeshi Yamamuro commented on SPARK-24070:
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ok, this ticket means we will put the performance
Yogesh Natarajan created SPARK-24075:
Summary: [Mesos] Supervised driver upon failure will be retried
indefinitely unless explicitly killed
Key: SPARK-24075
URL:
yucai created SPARK-24076:
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Summary: very bad performance when shuffle.partition = 8192
Key: SPARK-24076
URL: https://issues.apache.org/jira/browse/SPARK-24076
Project: Spark
Issue Type: Bug
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zhangsongcheng updated SPARK-24078:
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Description:
I try to sample the traning sets with each category，and then uion all samples
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Jungtaek Lim commented on SPARK-24036:
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Hello, I'm quite interested to this issue since I just read
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Hyukjin Kwon commented on SPARK-24078:
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Would you be able to test this in higher versions?
> reduce
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chris_j updated SPARK-24009:
Description:
local mode spark execute "INSERT OVERWRITE LOCAL DIRECTORY " successfully.
on yarn spark
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Hyukjin Kwon commented on SPARK-24074:
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I haven't looked into this yet but doesn't that sound more
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Hyukjin Kwon resolved SPARK-24077.
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Resolution: Invalid
Fix Version/s: (was: 3.0.0)
Target Version/s: (was:
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Xianjin YE commented on SPARK-19256:
Hi [~tejasp] [~cloud_fan], are you still working on this? We
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Takeshi Yamamuro commented on SPARK-24043:
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Aha, I gotcha. ya, we currently have no
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Bruce Robbins commented on SPARK-24043:
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You're half-way there. When whole-stage codegen is off
Saisai Shao created SPARK-24062:
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Summary: SASL encryption cannot be worked in ThriftServer
Key: SPARK-24062
URL: https://issues.apache.org/jira/browse/SPARK-24062
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-24062:
Assignee: Apache Spark
> SASL encryption cannot be worked in ThriftServer
>
Varsha Chandrashekar created SPARK-24065:
Summary: Issue with the property IgnoreLeadingWhiteSpace
Key: SPARK-24065
URL: https://issues.apache.org/jira/browse/SPARK-24065
Project: Spark
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Apache Spark reassigned SPARK-24066:
Assignee: Apache Spark
> Add a window exchange rule to eliminate redundant physical plan
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Hyukjin Kwon reassigned SPARK-24054:
Assignee: Hyukjin Kwon
> Add array_position function / element_at functions
>
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Apache Spark reassigned SPARK-24062:
Assignee: (was: Apache Spark)
> SASL encryption cannot be worked in ThriftServer
>
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Apache Spark commented on SPARK-24062:
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User 'jerryshao' has created a pull request for this issue:
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Varsha Chandrashekar updated SPARK-24065:
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Description:
"IgnoreLeadingWhiteSpace" property is not working properly for a
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https://issues.apache.org/jira/browse/SPARK-24065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Varsha Chandrashekar updated SPARK-24065:
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Description:
"IgnoreLeadingWhiteSpace" property is not working properly for a
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https://issues.apache.org/jira/browse/SPARK-24064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ABHISHEK KUMAR GUPTA updated SPARK-24064:
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Component/s: (was: Deploy)
SQL
> [Spark SQL] Create table
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https://issues.apache.org/jira/browse/SPARK-24054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-24054.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21130
ABHISHEK KUMAR GUPTA created SPARK-24064:
Summary: [Spark SQL] Create table using csv does not support
binary column Type
Key: SPARK-24064
URL: https://issues.apache.org/jira/browse/SPARK-24064
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https://issues.apache.org/jira/browse/SPARK-24051?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16449513#comment-16449513
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Emlyn Corrin commented on SPARK-24051:
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I've reshuffled the pyspark version to make it even clearer:
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https://issues.apache.org/jira/browse/SPARK-22600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16449580#comment-16449580
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Apache Spark commented on SPARK-22600:
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User 'viirya' has created a pull request for this issue:
caoxuewen created SPARK-24066:
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Summary: Add a window exchange rule to eliminate redundant
physical plan SortExec
Key: SPARK-24066
URL: https://issues.apache.org/jira/browse/SPARK-24066
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-24064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ABHISHEK KUMAR GUPTA updated SPARK-24064:
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Target Version/s: 2.3.1 (was: 2.3.0)
> [Spark SQL] Create table using csv does
Efim Poberezkin created SPARK-24063:
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Summary: Control maximum epoch backlog
Key: SPARK-24063
URL: https://issues.apache.org/jira/browse/SPARK-24063
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-24065?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16449504#comment-16449504
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Varsha Chandrashekar commented on SPARK-24065:
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Refer the attachment for the input file used
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Varsha Chandrashekar updated SPARK-24065:
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Attachment: lds1.txt
> Issue with the property IgnoreLeadingWhiteSpace
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