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Xiao Li resolved SPARK-11748.
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Resolution: Invalid
If the feature is needed, please open a new JIRA. Thanks!
> Result is null after
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Xiao Li commented on SPARK-11748:
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Since 2.0, this DDL command is not supported. A workaround is to
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Herman van Hovell closed SPARK-8816.
Resolution: Won't Fix
Closing as won't fix since this has not come up as a performance
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Cheng Lian commented on SPARK-17845:
One thing is that ANSI SQL also allows using arbitrary integral
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Xiao Li resolved SPARK-10503.
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Resolution: Cannot Reproduce
Need info. from users. Please reopen it when you still hit this issues.
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Xiao Li resolved SPARK-8712.
Resolution: Not A Problem
> Hive's Parser does not support distinct aggregations with OVER clause
>
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Xiao Li resolved SPARK-11254.
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Resolution: Cannot Reproduce
> Thriftserver on kerberos secured cluster in YARN mode
>
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Apache Spark commented on SPARK-17848:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-17848:
Assignee: (was: Apache Spark)
> Move LabelCol datatype cast into Predictor.fit
>
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Apache Spark reassigned SPARK-17848:
Assignee: Apache Spark
> Move LabelCol datatype cast into Predictor.fit
>
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https://issues.apache.org/jira/browse/SPARK-10673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15561348#comment-15561348
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Xiao Li commented on SPARK-10673:
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This should be resolved in 2.0. Please retry it. If it is still an
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Xiao Li resolved SPARK-10673.
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Resolution: Not A Problem
> spark.sql.hive.verifyPartitionPath Attempts to Verify Unregistered
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Xiao Li updated SPARK-6962:
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Component/s: Spark Core
> Netty BlockTransferService hangs in the middle of SQL query
>
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Xiao Li resolved SPARK-9762.
Resolution: Not A Problem
> ALTER TABLE cannot find column
> --
>
>
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Xiao Li commented on SPARK-9762:
Now, we do not support ALTER TABLE CHANGE COLUMN since 2.0, no matter
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Xiao Li resolved SPARK-10848.
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Resolution: Fixed
> Applied JSON Schema Works for json RDD but not when loading json file
>
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Xiao Li resolved SPARK-10848.
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Resolution: Not A Problem
> Applied JSON Schema Works for json RDD but not when loading json file
>
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Xiao Li reopened SPARK-10848:
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> Applied JSON Schema Works for json RDD but not when loading json file
>
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Xiao Li commented on SPARK-10848:
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This should be resolved in the latest file format refactoring in Spark
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Xiao Li resolved SPARK-11584.
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Resolution: Not A Problem
This has been resolved in the native DDL support since 2.0 Close it now.
zhengruifeng created SPARK-17848:
Summary: Move LabelCol datatype cast into Predictor.fit
Key: SPARK-17848
URL: https://issues.apache.org/jira/browse/SPARK-17848
Project: Spark
Issue Type:
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Russell Spitzer edited comment on SPARK-17845 at 10/10/16 5:14 AM:
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Russell Spitzer commented on SPARK-17845:
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FWIW, I Find (2) much more readable
> Improve window
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Apache Spark reassigned SPARK-17847:
Assignee: Apache Spark
> Copy GaussianMixture implementation from mllib to ml
>
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Apache Spark reassigned SPARK-17847:
Assignee: (was: Apache Spark)
> Copy GaussianMixture implementation from mllib to ml
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Apache Spark commented on SPARK-17847:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell resolved SPARK-17741.
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Resolution: Fixed
Assignee: Jiang Xingbo
Fix Version/s: 2.1.0
>
Yanbo Liang created SPARK-17847:
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Summary: Copy GaussianMixture implementation from mllib to ml
Key: SPARK-17847
URL: https://issues.apache.org/jira/browse/SPARK-17847
Project: Spark
Issue
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Herman van Hovell resolved SPARK-17832.
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Resolution: Fixed
Assignee: Jiang Xingbo
Fix Version/s: 2.1.0
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Reynold Xin updated SPARK-17845:
Description:
ANSI SQL uses the following to specify the frame boundaries for window
functions:
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Reynold Xin updated SPARK-17845:
Description:
ANSI SQL uses the following to specify the frame boundaries for window
functions:
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Reynold Xin updated SPARK-17845:
Description:
In SQL, we use the following to specify the frame boundaries for window
functions:
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Reynold Xin reassigned SPARK-17656:
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Assignee: Reynold Xin
> Decide on the variant of @scala.annotation.varargs and use
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dylanzhou updated SPARK-17846:
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Attachment: Problem screenshots.jpg
> A bad state of Running Applications with spark standalone HA
>
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dylanzhou updated SPARK-17846:
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Attachment: (was: QQ截图20161010121745.jpg)
> A bad state of Running Applications with spark
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dylanzhou updated SPARK-17846:
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Attachment: QQ截图20161010121745.jpg
Problem screenshots
> A bad state of Running Applications with
dylanzhou created SPARK-17846:
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Summary: A bad state of Running Applications with spark standalone
HA
Key: SPARK-17846
URL: https://issues.apache.org/jira/browse/SPARK-17846
Project: Spark
Reynold Xin created SPARK-17845:
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Summary: Improve window function frame boundary API in DataFrame
Key: SPARK-17845
URL: https://issues.apache.org/jira/browse/SPARK-17845
Project: Spark
Issue
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Liwei Lin commented on SPARK-17842:
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[~sreelalsl] thanks for the very clear reproducer -- it can be
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Rui Li commented on SPARK-14958:
I hit the issue with Spark 1.6.1
> Failed task hangs if error is
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Dongjoon Hyun edited comment on SPARK-16938 at 10/10/16 2:30 AM:
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This
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Dongjoon Hyun edited comment on SPARK-16938 at 10/10/16 2:30 AM:
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This
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Dongjoon Hyun commented on SPARK-16938:
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This issue is not in progress anymore. Please take this if
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https://issues.apache.org/jira/browse/SPARK-14393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15561008#comment-15561008
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Takeshi Yamamuro commented on SPARK-14393:
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yea, since this ticket is totally inactive for a
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Hyukjin Kwon commented on SPARK-14393:
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Thanks for pinging me!, in my personal opinion, we should
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Hyukjin Kwon commented on SPARK-17840:
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I do agree and thank you for your prompt response. Maybe, I
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Apache Spark reassigned SPARK-17844:
Assignee: Apache Spark (was: Reynold Xin)
> DataFrame API should simplify defining frame
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Apache Spark commented on SPARK-17844:
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User 'rxin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17844:
Assignee: Reynold Xin (was: Apache Spark)
> DataFrame API should simplify defining frame
Reynold Xin created SPARK-17844:
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Summary: DataFrame API should simplify defining frame boundaries
without partitioning/ordering
Key: SPARK-17844
URL: https://issues.apache.org/jira/browse/SPARK-17844
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Takeshi Yamamuro commented on SPARK-14393:
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[~hyukjin.kwon] What do u think the issue of this
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Cody Koeninger commented on SPARK-17812:
I want to start a pattern subscription at known good
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Reynold Xin commented on SPARK-17840:
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My comment on the dev list email thread:
Github already links
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Ofir Manor commented on SPARK-17815:
I totally understand your concerns, and yes, I hope you will
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Apache Spark reassigned SPARK-17843:
Assignee: (was: Apache Spark)
> History Server gives no feedback about the
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Apache Spark commented on SPARK-17843:
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User 'vijoshi' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17843:
Assignee: Apache Spark
> History Server gives no feedback about the application list
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https://issues.apache.org/jira/browse/SPARK-14761?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560874#comment-15560874
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Apache Spark commented on SPARK-14761:
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User 'bkpathak' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17812?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560865#comment-15560865
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Ofir Manor commented on SPARK-17812:
Why? If you choose oldest, latest or by timestamp, you can
Vinayak Joshi created SPARK-17843:
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Summary: History Server gives no feedback about the application
list being incomplete
Key: SPARK-17843
URL: https://issues.apache.org/jira/browse/SPARK-17843
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Cody Koeninger commented on SPARK-17812:
That totally kills the usability of SubscribePattern.
>
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Cody Koeninger commented on SPARK-17815:
My personal concerns about complexity are because I'm
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Ofir Manor commented on SPARK-17812:
I'll have to think about it - not sure if it ever makes sense to
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Ofir Manor commented on SPARK-17815:
Thanks Cody, this is much clearer.
(BTW - I've been bitten
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Cody Koeninger commented on SPARK-17812:
Generally agree with the direction of what you're
Sreelal S L created SPARK-17842:
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Summary: Thread and memory leak in WindowDstream (UnionRDD ) when
parallelPartition computation gets enabled.
Key: SPARK-17842
URL:
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https://issues.apache.org/jira/browse/SPARK-17812?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560696#comment-15560696
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Ofir Manor edited comment on SPARK-17812 at 10/9/16 10:00 PM:
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Cody, you are
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Ofir Manor commented on SPARK-17812:
Cody, you are absolutely right that the option naming is silly
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Cody Koeninger commented on SPARK-17815:
Regarding kafka consumer behavior, I'm not saying it's
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Ofir Manor commented on SPARK-17815:
I hope others with better understanding of Spark internals can
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Sean McKibben commented on SPARK-17147:
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I just had time to read through the changeset today, but
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Kiran Miryala commented on SPARK-17820:
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Yes, data exists in sqoop_import.departments table.
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Apache Spark commented on SPARK-17839:
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User 'sitalkedia' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17839?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17839:
Assignee: (was: Apache Spark)
> UnsafeSorterSpillReader should use Nio's directbuffer
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Apache Spark reassigned SPARK-17839:
Assignee: Apache Spark
> UnsafeSorterSpillReader should use Nio's directbuffer to read
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https://issues.apache.org/jira/browse/SPARK-17841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17841:
Assignee: (was: Apache Spark)
> Kafka 0.10 commitQueue needs to be drained
>
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Apache Spark commented on SPARK-17841:
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User 'koeninger' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17841:
Assignee: Apache Spark
> Kafka 0.10 commitQueue needs to be drained
>
Cody Koeninger created SPARK-17841:
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Summary: Kafka 0.10 commitQueue needs to be drained
Key: SPARK-17841
URL: https://issues.apache.org/jira/browse/SPARK-17841
Project: Spark
Issue Type:
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Hyukjin Kwon updated SPARK-17840:
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Description:
It seems it'd better to give best efforts for describing the guides for
creating
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Hyukjin Kwon updated SPARK-17840:
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Description:
It seems it'd better to give best efforts for describing the guides for
creating
Hyukjin Kwon created SPARK-17840:
Summary: Add some pointers for wiki/CONTRIBUTING.md in README.md
and some warnings in PULL_REQUEST_TEMPLATE
Key: SPARK-17840
URL:
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https://issues.apache.org/jira/browse/SPARK-17147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560241#comment-15560241
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Cody Koeninger commented on SPARK-17147:
[~graphex] My WIP is at
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James Greenwood updated SPARK-8842:
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Affects Version/s: 2.0.1
> Spark SQL - Insert into table Issue
>
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Apache Spark reassigned SPARK-17745:
Assignee: (was: Apache Spark)
> Update Python API for NB to support weighted
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Apache Spark commented on SPARK-17745:
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User 'WeichenXu123' has created a pull request for this
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Apache Spark reassigned SPARK-17745:
Assignee: Apache Spark
> Update Python API for NB to support weighted instances
>
Sital Kedia created SPARK-17839:
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Summary: UnsafeSorterSpillReader should use Nio's directbuffer to
read the spill files in order to avoid additional copy
Key: SPARK-17839
URL:
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Xiao Li closed SPARK-10838.
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Resolution: Duplicate
> Repeat to join one DataFrame twice,there will be AnalysisException.
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https://issues.apache.org/jira/browse/SPARK-10838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560164#comment-15560164
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Xiao Li commented on SPARK-10838:
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The root cause is the same as Spark-13801. Close it now.
> Repeat to
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https://issues.apache.org/jira/browse/SPARK-15917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15917:
Assignee: (was: Apache Spark)
> Define the number of executors in standalone mode
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https://issues.apache.org/jira/browse/SPARK-15917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560115#comment-15560115
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Apache Spark commented on SPARK-15917:
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User 'JonathanTaws' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-15917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15917:
Assignee: Apache Spark
> Define the number of executors in standalone mode with an
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https://issues.apache.org/jira/browse/SPARK-8780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang closed SPARK-8780.
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Resolution: Won't Fix
> Move Python doctest code example from models to algorithms
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https://issues.apache.org/jira/browse/SPARK-8780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15560103#comment-15560103
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Yanbo Liang commented on SPARK-8780:
Since spark.mllib package is in maintenance mode, only bug fix
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https://issues.apache.org/jira/browse/SPARK-17815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559911#comment-15559911
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Cody Koeninger commented on SPARK-17815:
The WAL cannot be the only source of truth, because it
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https://issues.apache.org/jira/browse/SPARK-17607?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559888#comment-15559888
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Sasi commented on SPARK-17607:
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I'll check it out.
I ping because I don't find any relative issues or
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https://issues.apache.org/jira/browse/SPARK-8780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559886#comment-15559886
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Jiayue Zhang commented on SPARK-8780:
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I will work on this, thanks.
> Move Python doctest code
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https://issues.apache.org/jira/browse/SPARK-17607?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559882#comment-15559882
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Sean Owen commented on SPARK-17607:
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Same as https://issues.apache.org/jira/browse/SPARK-4563 ?
It's
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https://issues.apache.org/jira/browse/SPARK-17607?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559636#comment-15559636
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Sasi commented on SPARK-17607:
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Hey,
Is there any workaround? my system run on production and I need
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