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Shivaram Venkataraman commented on SPARK-21349:
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Thanks for checking. In that case I dont
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Gaurav Shah commented on SPARK-20462:
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related blog post:
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Dongjoon Hyun commented on SPARK-21349:
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Yes. For the fewer values like 24*365*1, the warning does
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Chunsheng Ji commented on SPARK-21856:
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I am working on it.
> Update Python API for
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Shivaram Venkataraman commented on SPARK-21349:
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I think this might be that we create a
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Ming Jiang commented on SPARK-21854:
I can work on this, thanks!
> Python interface for MLOR summary
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Ming Jiang updated SPARK-21856:
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Comment: was deleted
(was: I can work on it, thanks!)
> Update Python API for
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Dongjoon Hyun commented on SPARK-21349:
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Hi, [~jiangxb] and all. I hit this issue again in another
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Hyukjin Kwon reassigned SPARK-20886:
Assignee: Steve Loughran
This was fixed in a way to allow {{null}} case.
>
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Hyukjin Kwon resolved SPARK-20886.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18111
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Xiao Li resolved SPARK-21845.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Make codegen fallback of expressions configurable
>
iamhumanbeing created SPARK-21872:
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Summary: Is job duration value of Spark Jobs page on Web UI
correct?
Key: SPARK-21872
URL: https://issues.apache.org/jira/browse/SPARK-21872
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-17139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16146494#comment-16146494
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Apache Spark commented on SPARK-17139:
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User 'WeichenXu123' has created a pull request for this
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Apache Spark reassigned SPARK-20711:
Assignee: (was: Apache Spark)
> MultivariateOnlineSummarizer incorrect min/max for
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Apache Spark reassigned SPARK-21871:
Assignee: Apache Spark
> Check actual bytecode size when compiling generated code
>
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Apache Spark commented on SPARK-21871:
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User 'maropu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20711:
Assignee: Apache Spark
> MultivariateOnlineSummarizer incorrect min/max for NaN value
>
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Apache Spark reassigned SPARK-21871:
Assignee: (was: Apache Spark)
> Check actual bytecode size when compiling generated
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https://issues.apache.org/jira/browse/SPARK-20711?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16146492#comment-16146492
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Apache Spark commented on SPARK-20711:
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User 'zhengruifeng' has created a pull request for this
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zhengruifeng updated SPARK-20711:
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Summary: MultivariateOnlineSummarizer incorrect min/max for NaN value
(was:
Takeshi Yamamuro created SPARK-21871:
Summary: Check actual bytecode size when compiling generated code
Key: SPARK-21871
URL: https://issues.apache.org/jira/browse/SPARK-21871
Project: Spark
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zhengruifeng commented on SPARK-20711:
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[~WeichenXu123] I notice that you have just fixed a bug in
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zhengruifeng reopened SPARK-20711:
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> MultivariateOnlineSummarizer incorrect min/max for identical NaN feature
>
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Joseph K. Bradley updated SPARK-21862:
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Shepherd: Joseph K. Bradley
> Add overflow check in PCA
> -
>
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Joseph K. Bradley reassigned SPARK-21862:
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Assignee: Weichen Xu
> Add overflow check in PCA
> -
>
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Apache Spark reassigned SPARK-21870:
Assignee: (was: Apache Spark)
> Split codegen'd aggregation code into small functions
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Apache Spark reassigned SPARK-21870:
Assignee: Apache Spark
> Split codegen'd aggregation code into small functions for the
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Apache Spark commented on SPARK-21870:
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User 'maropu' has created a pull request for this issue:
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Takeshi Yamamuro updated SPARK-21870:
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Description:
In SPARK-21603, we got performance regression if the HotSpot didn't compile
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Takeshi Yamamuro updated SPARK-21870:
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Description:
In SPARK-21603, we got performance regression if the HotSpot didn't compile
Takeshi Yamamuro created SPARK-21870:
Summary: Split codegen'd aggregation code into small functions for
the HotSpot
Key: SPARK-21870
URL: https://issues.apache.org/jira/browse/SPARK-21870
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Matei Zaharia updated SPARK-18278:
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Labels: SPIP (was: )
> SPIP: Support native submission of spark jobs to a kubernetes cluster
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Matei Zaharia updated SPARK-21866:
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Labels: SPIP (was: )
> SPIP: Image support in Spark
>
>
>
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Shixiong Zhu commented on SPARK-21869:
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[~scrapco...@gmail.com] do you want to take this task?
> A
Shixiong Zhu created SPARK-21869:
Summary: A cached Kafka producer should not be closed if any task
is using it.
Key: SPARK-21869
URL: https://issues.apache.org/jira/browse/SPARK-21869
Project: Spark
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Sean Owen commented on SPARK-21864:
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My first guess is that it's a MemSQL problem, if you're not able
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Charlie Tsai edited comment on SPARK-19307 at 8/29/17 10:48 PM:
Hi,
I am
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Sean Owen resolved SPARK-21849.
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Resolution: Not A Problem
> Make the serializer function more robust
>
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Sean Owen reassigned SPARK-21813:
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Assignee: he.qiao
> [core] Modify TaskMemoryManager.MAXIMUM_PAGE_SIZE_BYTES comments
>
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Sean Owen resolved SPARK-21813.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19025
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Charlie Tsai edited comment on SPARK-19307 at 8/29/17 10:43 PM:
Hi,
I am
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Charlie Tsai edited comment on SPARK-19307 at 8/29/17 10:43 PM:
Hi,
I am
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Charlie Tsai commented on SPARK-19307:
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Hi,
I am using 2.2.0 but find that command line {{--conf}}
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Apache Spark commented on SPARK-21834:
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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-21797?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16146193#comment-16146193
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Steve Loughran commented on SPARK-21797:
No> That's a shame. I only came across the option when I
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Marcelo Vanzin resolved SPARK-21728.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.3.0
> Allow
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Sean Owen resolved SPARK-21868.
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Resolution: Not A Problem
Java 9 is not supported
> Spark job fails on java 9 NumberFormatException
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rahul sharma updated SPARK-21868:
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Description:
I have a sample spark job which I am successfully able to run on java 8 but
when
rahul sharma created SPARK-21868:
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Summary: Spark job fails on java 9 NumberFormatException for input
string ea
Key: SPARK-21868
URL: https://issues.apache.org/jira/browse/SPARK-21868
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16146060#comment-16146060
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Sital Kedia commented on SPARK-21867:
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cc - [~rxin], [~joshrosen], [~sameer] - What do you think of
Sital Kedia created SPARK-21867:
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Summary: Support async spilling in UnsafeShuffleWriter
Key: SPARK-21867
URL: https://issues.apache.org/jira/browse/SPARK-21867
Project: Spark
Issue Type:
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Marcelo Vanzin updated SPARK-21714:
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Fix Version/s: (was: 2.2.1)
> SparkSubmit in Yarn Client mode downloads remote files and
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https://issues.apache.org/jira/browse/SPARK-18350?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16136567#comment-16136567
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Vinayak edited comment on SPARK-18350 at 8/29/17 7:30 PM:
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[~ueshin]
I have
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Mridul Muralidharan commented on SPARK-9213:
[~rxin] Curious what happened to this effort -
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Sean Owen commented on SPARK-21866:
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Why would this need to be part of Spark? I assume it's
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Marcelo Vanzin updated SPARK-21714:
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Fix Version/s: 2.2.1
> SparkSubmit in Yarn Client mode downloads remote files and then
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Timothy Hunter updated SPARK-21866:
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Attachment: SPIP - Image support for Apache Spark.pdf
> SPIP: Image support in Spark
>
Timothy Hunter created SPARK-21866:
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Summary: SPIP: Image support in Spark
Key: SPARK-21866
URL: https://issues.apache.org/jira/browse/SPARK-21866
Project: Spark
Issue Type: Improvement
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Boris Clémençon commented on SPARK-21797:
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FYI, the flag
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Brad commented on SPARK-21097:
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Here is a document with some of my benchmark results. I am working on adding
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Felix Cheung reassigned SPARK-21801:
Assignee: Felix Cheung
> SparkR unit test randomly fail on trees
>
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Felix Cheung resolved SPARK-21801.
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Resolution: Fixed
Fix Version/s: 2.3.0
> SparkR unit test randomly fail on trees
>
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Nagamanoj commented on SPARK-21857:
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Thank you very much Sean Owen... I reverted to Java 8 and now it
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Apache Spark commented on SPARK-21865:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21865?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21865:
Assignee: Wenchen Fan (was: Apache Spark)
> remove Partitioning.compatibleWith
>
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Apache Spark reassigned SPARK-21865:
Assignee: Apache Spark (was: Wenchen Fan)
> remove Partitioning.compatibleWith
>
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Apache Spark reassigned SPARK-21822:
Assignee: Apache Spark
> When insert Hive Table is finished, it is better to clean out
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Apache Spark reassigned SPARK-21822:
Assignee: (was: Apache Spark)
> When insert Hive Table is finished, it is better to
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Apache Spark reassigned SPARK-21849:
Assignee: (was: Apache Spark)
> Make the serializer function more robust
>
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https://issues.apache.org/jira/browse/SPARK-21806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21806:
Assignee: (was: Apache Spark)
> BinaryClassificationMetrics pr(): first point (0.0,
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https://issues.apache.org/jira/browse/SPARK-20628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20628:
Assignee: (was: Apache Spark)
> Keep track of nodes which are going to be shut down &
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Apache Spark reassigned SPARK-21845:
Assignee: Apache Spark (was: Xiao Li)
> Make codegen fallback of expressions
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Apache Spark reassigned SPARK-21097:
Assignee: Apache Spark
> Dynamic allocation will preserve cached data
>
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Apache Spark reassigned SPARK-21811:
Assignee: (was: Apache Spark)
> Inconsistency when finding the widest common type of
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Apache Spark reassigned SPARK-21097:
Assignee: (was: Apache Spark)
> Dynamic allocation will preserve cached data
>
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Apache Spark reassigned SPARK-21849:
Assignee: Apache Spark
> Make the serializer function more robust
>
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Apache Spark reassigned SPARK-21811:
Assignee: Apache Spark
> Inconsistency when finding the widest common type of a
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Apache Spark reassigned SPARK-20628:
Assignee: Apache Spark
> Keep track of nodes which are going to be shut down & avoid
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https://issues.apache.org/jira/browse/SPARK-21806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21806:
Assignee: Apache Spark
> BinaryClassificationMetrics pr(): first point (0.0, 1.0) is
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Apache Spark reassigned SPARK-21845:
Assignee: Xiao Li (was: Apache Spark)
> Make codegen fallback of expressions
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https://issues.apache.org/jira/browse/SPARK-21469?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21469:
Assignee: Apache Spark
> Add doc and example for FeatureHasher
>
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Apache Spark reassigned SPARK-21808:
Assignee: (was: Apache Spark)
> Add R interface of binarizer
>
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Apache Spark reassigned SPARK-21808:
Assignee: Apache Spark
> Add R interface of binarizer
>
>
>
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Apache Spark reassigned SPARK-21469:
Assignee: (was: Apache Spark)
> Add doc and example for FeatureHasher
>
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Apache Spark reassigned SPARK-21787:
Assignee: (was: Apache Spark)
> Support for pushing down filters for date types in
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Apache Spark reassigned SPARK-21728:
Assignee: Apache Spark
> Allow SparkSubmit to use logging
>
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Apache Spark reassigned SPARK-21784:
Assignee: (was: Apache Spark)
> Add ALTER TABLE ADD CONSTRANT DDL to support defining
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Apache Spark reassigned SPARK-21728:
Assignee: (was: Apache Spark)
> Allow SparkSubmit to use logging
>
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https://issues.apache.org/jira/browse/SPARK-21779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21779:
Assignee: Apache Spark
> Simpler Dataset.sample API in Python
>
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https://issues.apache.org/jira/browse/SPARK-21787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21787:
Assignee: Apache Spark
> Support for pushing down filters for date types in ORC
>
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https://issues.apache.org/jira/browse/SPARK-21774?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21774:
Assignee: Apache Spark
> The rule PromoteStrings cast string to a wrong data type
>
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https://issues.apache.org/jira/browse/SPARK-21783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21783:
Assignee: Apache Spark
> Turn on ORC filter push-down by default
>
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https://issues.apache.org/jira/browse/SPARK-21624?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21624:
Assignee: (was: Apache Spark)
> Optimize communication cost of RF/GBT/DT
>
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https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19256:
Assignee: Apache Spark
> Hive bucketing support
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-21720?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21720:
Assignee: Apache Spark
> Filter predicate with many conditions throw stackoverflow error
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https://issues.apache.org/jira/browse/SPARK-21791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21791:
Assignee: Apache Spark
> ORC should support column names with dot
>
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https://issues.apache.org/jira/browse/SPARK-21779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21779:
Assignee: (was: Apache Spark)
> Simpler Dataset.sample API in Python
>
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https://issues.apache.org/jira/browse/SPARK-20589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20589:
Assignee: Apache Spark
> Allow limiting task concurrency per stage
>
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https://issues.apache.org/jira/browse/SPARK-21685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21685:
Assignee: Apache Spark
> Params isSet in scala Transformer triggered by _setDefault in
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https://issues.apache.org/jira/browse/SPARK-21771?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21771:
Assignee: Apache Spark
> SparkSQLEnv creates a useless meta hive client
>
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