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L. C. Hsieh commented on SPARK-30983:
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cc [~cloud_fan]
> Support more than 5 typed column in typed
L. C. Hsieh created SPARK-30983:
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Summary: Support more than 5 typed column in typed Dataset.select
API
Key: SPARK-30983
URL: https://issues.apache.org/jira/browse/SPARK-30983
Project: Spark
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zhengruifeng updated SPARK-30982:
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Attachment: sql_signature.diff
added_sql_class
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zhengruifeng updated SPARK-30982:
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Attachment: core_signature.diff
added_core_class
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Xiao Li reassigned SPARK-30982:
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Assignee: zhengruifeng (was: Xiao Li)
> List All the removed APIs of Spark SQL and Core
>
Xiao Li created SPARK-30982:
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Summary: List All the removed APIs of Spark SQL and Core
Key: SPARK-30982
URL: https://issues.apache.org/jira/browse/SPARK-30982
Project: Spark
Issue Type: Sub-task
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Dongjoon Hyun commented on SPARK-30981:
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Could you take a look at this, [~holden]?
> Fix flaky
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Dongjoon Hyun reassigned SPARK-30981:
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Assignee: (was: Dongjoon Hyun)
> Fix flaky "Test basic decommissioning" test
>
Dongjoon Hyun created SPARK-30981:
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Summary: Fix flaky "Test basic decommissioning" test
Key: SPARK-30981
URL: https://issues.apache.org/jira/browse/SPARK-30981
Project: Spark
Issue Type:
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Dongjoon Hyun updated SPARK-25474:
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Summary: Update the docs for spark.sql.statistics.fallBackToHdfs (was:
Support
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Hyukjin Kwon resolved SPARK-30902.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27650
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Dongjoon Hyun closed SPARK-26599.
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> BroardCast hint can not work with PruneFileSourcePartitions
>
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Dongjoon Hyun updated SPARK-26599:
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Issue Type: Bug (was: Improvement)
> BroardCast hint can not work with
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Pradyumn Agrawal updated SPARK-30980:
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Shepherd: Apache Spark
> Issue not resolved of Caught Hive MetaException attempting to
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Pradyumn Agrawal updated SPARK-30980:
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Description:
I am querying on table created in Hive. Getting repetitive exception of
Pradyumn Agrawal created SPARK-30980:
Summary: Issue not resolved of Caught Hive MetaException
attempting to get partition metadata by filter from Hive
Key: SPARK-30980
URL:
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Wenchen Fan resolved SPARK-30972.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27723
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Wenchen Fan reassigned SPARK-30972:
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Assignee: wuyi
> PruneHiveTablePartitions should be executed as earlyScanPushDownRules
>
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Hyukjin Kwon resolved SPARK-30681.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27406
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Hyukjin Kwon reassigned SPARK-30682:
Assignee: Maciej Szymkiewicz
> Add higher order functions API to SparkR
>
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Hyukjin Kwon resolved SPARK-30682.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27433
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Hyukjin Kwon reassigned SPARK-30681:
Assignee: Maciej Szymkiewicz
> Add higher order functions API to PySpark
>
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Hyukjin Kwon resolved SPARK-30955.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27702
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Xiao Li resolved SPARK-14643.
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Resolution: Won't Fix
> Remove overloaded methods which become ambiguous in Scala 2.12
>
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Hyukjin Kwon commented on SPARK-26836:
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I am lowering the priority to Critical as it's at least not
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Hyukjin Kwon updated SPARK-26836:
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Priority: Critical (was: Blocker)
> Columns get switched in Spark SQL using Avro backed Hive
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Dyno updated SPARK-30979:
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Summary: spark-submit - no need to resolve dependencies in kubernetes
cluster mode (was: no need to resolve
Dyno created SPARK-30979:
Summary: no need to resolve dependencies in kubernetes cluster mode
Key: SPARK-30979
URL: https://issues.apache.org/jira/browse/SPARK-30979
Project: Spark
Issue Type: Bug
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Dongjoon Hyun reassigned SPARK-30968:
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Assignee: Dongjoon Hyun
> Upgrade aws-java-sdk-sts to 1.11.655
>
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Dongjoon Hyun resolved SPARK-30968.
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Fix Version/s: 3.0.0
2.4.6
Resolution: Fixed
Issue resolved by
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Dongjoon Hyun commented on SPARK-30855:
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According to the public plan, no. Probably, 3.0.0 RC1?
-
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Dongjoon Hyun edited comment on SPARK-30855 at 2/27/20 11:00 PM:
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Abhishek Madav commented on SPARK-30442:
In case of task failures, say the task fails to write
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Jorge Machado commented on SPARK-26412:
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Thanks for the Tipp. It helps
> Allow Pandas UDF to
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Huaxin Gao edited comment on SPARK-30928 at 2/27/20 7:55 PM:
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I audited
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Xingbo Jiang commented on SPARK-30969:
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I created https://issues.apache.org/jira/browse/SPARK-30978
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Xingbo Jiang updated SPARK-30978:
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Description:
Based on our experience, there is no scenario that necessarily requires
deploying
Xingbo Jiang created SPARK-30978:
Summary: Remove multiple workers on the same host support from
Standalone backend
Key: SPARK-30978
URL: https://issues.apache.org/jira/browse/SPARK-30978
Project:
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Thomas Graves updated SPARK-30977:
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Target Version/s: 3.0.0
> ResourceProfile and Builder should be private in spark 3.0
>
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Thomas Graves reassigned SPARK-30977:
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Assignee: (was: Thomas Graves)
> ResourceProfile and Builder should be private in
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Thomas Graves commented on SPARK-30977:
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I'm working on this should have pr by end of day
>
Thomas Graves created SPARK-30977:
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Summary: ResourceProfile and Builder should be private in spark 3.0
Key: SPARK-30977
URL: https://issues.apache.org/jira/browse/SPARK-30977
Project: Spark
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Yin Huai deleted SPARK-30976:
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> Improve Maven Install Logic in build/mvn
>
>
>
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Wesley Hsiao updated SPARK-30976:
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Description:
The current code at lacks a validation step to test the installed maven binary
at
Wesley Hsiao created SPARK-30976:
Summary: Improve Maven Install Logic in build/mvn
Key: SPARK-30976
URL: https://issues.apache.org/jira/browse/SPARK-30976
Project: Spark
Issue Type:
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Bruce Robbins updated SPARK-30951:
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Description:
tl;dr: We recently discovered some Spark 2.x sites that have lots of data
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Bryan Cutler commented on SPARK-30961:
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Yes, we should be able to keep Spark 3.x up to date with
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Xiangrui Meng commented on SPARK-30969:
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[~Ngone51] [~jiangxb1987] Is there a JIRA to deprecate
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Xiangrui Meng updated SPARK-30969:
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Environment: (was: Resource coordination is used for the case where
multiple workers
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Xiangrui Meng updated SPARK-30969:
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Priority: Critical (was: Major)
> Remove resource coordination support from Standalone
>
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Xiangrui Meng reassigned SPARK-30969:
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Assignee: wuyi
> Remove resource coordination support from Standalone
>
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Xiangrui Meng updated SPARK-30969:
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Description: Resource coordination is used for the case where multiple
workers running on the
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Miquel Angel Andreu updated SPARK-30975:
Summary: Rename config for spark.<>.memoryOverhead (was: Rename config to
Miquel Angel Andreu created SPARK-30975:
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Summary: Rename config to spark.executor.memoryOverhead
Key: SPARK-30975
URL: https://issues.apache.org/jira/browse/SPARK-30975
Project: Spark
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Takeshi Yamamuro commented on SPARK-28994:
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Adaptive? This means adaptive execution? btw, is it
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Takeshi Yamamuro commented on SPARK-28993:
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Any update? btw, is it worth documenting this in
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Takeshi Yamamuro commented on SPARK-28965:
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Any update? btw, is it worth documenting this in
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Takeshi Yamamuro resolved SPARK-28995.
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Resolution: Invalid
> Document working of Spark Streaming
>
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Takeshi Yamamuro commented on SPARK-28995:
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I think this is not related to the SQL refs, so
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Takeshi Yamamuro commented on SPARK-29458:
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[~dkbiswal] Any update?
> Document scalar
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Takeshi Yamamuro commented on SPARK-30095:
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[~abhishek.akg] Any update?
> create function
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Takeshi Yamamuro resolved SPARK-30635.
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Resolution: Duplicate
I think this has been resolved by SPARK-28794
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Takeshi Yamamuro resolved SPARK-30693.
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Resolution: Duplicate
I think this has been resolved by SPARK-28794
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Takeshi Yamamuro commented on SPARK-30635:
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[~jobitmathew] still working on it?
> Document
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Akshay updated SPARK-30974:
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Summary: org.apache.spark.sql.AnalysisException: expression
'default.udfvalidation.`empname`' is neither
Akshay created SPARK-30974:
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Summary: org.apache.spark.sql.AnalysisException: expression
'default.udfvalidation.`empname`' is neither present in the group by, nor is it
an aggregate function. Add to group by or wrap in first() (or first_value) if
you
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YoungGyu Chun edited comment on SPARK-29969 at 2/27/20 2:16 PM:
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Takeshi Yamamuro resolved SPARK-30956.
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Fix Version/s: 3.0.0
Assignee: Kent Yao
Resolution: Fixed
Resolved by
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Benoit Roy commented on SPARK-30855:
Ok thanks for letting me know. Are there any plan for another
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Wenchen Fan resolved SPARK-30937.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27670
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Wenchen Fan reassigned SPARK-30937:
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Assignee: wuyi
> Migration guide for Hive 2.3
>
>
>
Sun Ke created SPARK-30973:
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Summary: ScriptTransformationExec should wait for the termination
of process when scriptOutputReader hasNext return false
Key: SPARK-30973
URL:
wuyi created SPARK-30972:
Summary: PruneHiveTablePartitions should be executed as
earlyScanPushDownRules
Key: SPARK-30972
URL: https://issues.apache.org/jira/browse/SPARK-30972
Project: Spark
Issue
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Gabor Somogyi resolved SPARK-30971.
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Resolution: Won't Do
> Support MySQL Kerberos login in JDBC connector
>
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Gabor Somogyi commented on SPARK-30971:
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Just for the record I've created this jira since MySQL
Gabor Somogyi created SPARK-30971:
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Summary: Support MySQL Kerberos login in JDBC connector
Key: SPARK-30971
URL: https://issues.apache.org/jira/browse/SPARK-30971
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-26412?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046542#comment-17046542
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Hyukjin Kwon edited comment on SPARK-26412 at 2/27/20 12:03 PM:
You
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Hyukjin Kwon commented on SPARK-26412:
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You cannot separate one iterator to multiple iterators
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Dongjoon Hyun commented on SPARK-30970:
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BTW, [~Qin Yao]. Could you check 2.3.4 behavior and
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Dongjoon Hyun commented on SPARK-30970:
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Since the root cause is the user mistakes, the prevention
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Dongjoon Hyun updated SPARK-30970:
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Priority: Minor (was: Major)
> Fix NPE in resolving k8s master url
>
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zhengruifeng updated SPARK-30929:
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Environment: (was: Audit new public Scala APIs added to MLlib & GraphX.
Take note of:
*
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zhengruifeng updated SPARK-30929:
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Description:
Audit new public Scala APIs added to MLlib & GraphX. Take note of:
*
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zhengruifeng edited comment on SPARK-30932 at 2/27/20 9:47 AM:
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I checked
Kent Yao created SPARK-30970:
Summary: Fix NPE in resolving k8s master url
Key: SPARK-30970
URL: https://issues.apache.org/jira/browse/SPARK-30970
Project: Spark
Issue Type: Bug
wuyi created SPARK-30969:
Summary: Remove resource coordination support from Standalone
Key: SPARK-30969
URL: https://issues.apache.org/jira/browse/SPARK-30969
Project: Spark
Issue Type: Sub-task
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Jorge Machado commented on SPARK-26412:
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Well I was thinking on something more. like I would like
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Hyukjin Kwon commented on SPARK-26412:
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You can do it via:
{code}
def map_func(batch_iter):
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Victor Zhang commented on SPARK-29969:
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[~younggyuchun]
The description may be a bit confusing. I
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https://issues.apache.org/jira/browse/SPARK-30961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046337#comment-17046337
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Nicolas Renkamp commented on SPARK-30961:
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[~bryanc] Thanks for the quick reply.
Actually, I
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