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Cheng Lian resolved SPARK-15632.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13529
koert kuipers created SPARK-15798:
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Summary: Secondary sort in Dataset/DataFrame
Key: SPARK-15798
URL: https://issues.apache.org/jira/browse/SPARK-15798
Project: Spark
Issue Type: New
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Justin Pihony commented on SPARK-14525:
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[~rxin] I have pushed my changes that now include
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Priyanka Garg commented on SPARK-15797:
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I am working on this.
> To expose groupingSets for
Priyanka Garg created SPARK-15797:
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Summary: To expose groupingSets for DataFrame
Key: SPARK-15797
URL: https://issues.apache.org/jira/browse/SPARK-15797
Project: Spark
Issue Type: New
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Yang Wang commented on SPARK-9221:
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Any progress on this? [~hvanhovell]
> Support IntervalType in Range
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marymwu commented on SPARK-15755:
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Any comments?
> java.lang.NullPointerException when run spark 2.0
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marymwu commented on SPARK-15757:
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The error occurs steps are as follows: hope it helps
1. use hive
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
Gabor Feher created SPARK-15796:
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Summary: Spark 1.6 default memory settings can cause heavy GC when
caching
Key: SPARK-15796
URL: https://issues.apache.org/jira/browse/SPARK-15796
Project: Spark
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iward updated SPARK-14485:
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Summary: Task finished cause fetch failure when its executor has already
been removed by driver (was: Task
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Apache Spark reassigned SPARK-15795:
Assignee: Apache Spark
> Enable more optimizations in whole stage codegen when isNull is
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Apache Spark reassigned SPARK-15795:
Assignee: (was: Apache Spark)
> Enable more optimizations in whole stage codegen when
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Apache Spark commented on SPARK-15795:
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User 'inouehrs' has created a pull request for this issue:
Hiroshi Inoue created SPARK-15795:
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Summary: Enable more optimizations in whole stage codegen when
isNull is a compile-time constant
Key: SPARK-15795
URL: https://issues.apache.org/jira/browse/SPARK-15795
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Apache Spark reassigned SPARK-15794:
Assignee: (was: Apache Spark)
> Should truncate toString() of very wide schemas
>
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Apache Spark reassigned SPARK-15794:
Assignee: Apache Spark
> Should truncate toString() of very wide schemas
>
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Apache Spark commented on SPARK-15794:
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User 'ericl' has created a pull request for this issue:
Eric Liang created SPARK-15794:
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Summary: Should truncate toString() of very wide schemas
Key: SPARK-15794
URL: https://issues.apache.org/jira/browse/SPARK-15794
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-9876:
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Assignee: Ryan Blue (was: Apache Spark)
> Upgrade parquet-mr to 1.8.1
>
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Apache Spark reassigned SPARK-9876:
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Assignee: Apache Spark (was: Ryan Blue)
> Upgrade parquet-mr to 1.8.1
>
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Alexander Pivovarov commented on SPARK-12655:
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[~srowen] Can the fix be added to 1.6 branch
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Xusen Yin commented on SPARK-15574:
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[~josephkb] Can I work on this one?
> Python meta-algorithms in
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Apache Spark reassigned SPARK-15793:
Assignee: Apache Spark
> Word2vec in ML package should have maxSentenceLength method
>
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Apache Spark commented on SPARK-15793:
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User 'yinxusen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15793:
Assignee: (was: Apache Spark)
> Word2vec in ML package should have maxSentenceLength
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Xusen Yin commented on SPARK-14381:
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Comparing mllib.feature with ml.feature, there are only two APIs
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Cheng Lian commented on SPARK-15632:
The {{.map(identity)}} example is quite interesting, thanks for
Xusen Yin created SPARK-15793:
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Summary: Word2vec in ML package should have maxSentenceLength
method
Key: SPARK-15793
URL: https://issues.apache.org/jira/browse/SPARK-15793
Project: Spark
Issue
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Marcelo Vanzin resolved SPARK-15652.
Resolution: Fixed
Assignee: Subroto Sanyal
Fix Version/s: 2.0.0
> Missing
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Davies Liu updated SPARK-15791:
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Assignee: Eric Liang (was: Davies Liu)
> NPE in ScalarSubquery
> -
>
>
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Shixiong Zhu commented on SPARK-14146:
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[~scrapco...@gmail.com] could you submit a PR to add it?
>
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Apache Spark reassigned SPARK-15792:
Assignee: Apache Spark
> [SQL] Allows operator to change the verbosity in explain output.
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Apache Spark commented on SPARK-15792:
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User 'clockfly' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15792:
Assignee: (was: Apache Spark)
> [SQL] Allows operator to change the verbosity in
Sean Zhong created SPARK-15792:
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Summary: [SQL] Allows operator to change the verbosity in explain
output.
Key: SPARK-15792
URL: https://issues.apache.org/jira/browse/SPARK-15792
Project: Spark
Davies Liu created SPARK-15791:
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Summary: NPE in ScalarSubquery
Key: SPARK-15791
URL: https://issues.apache.org/jira/browse/SPARK-15791
Project: Spark
Issue Type: Bug
Components: SQL
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Shixiong Zhu commented on SPARK-15716:
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[~yani.chen] Are you using the Apache Spark or other
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Apache Spark reassigned SPARK-15789:
Assignee: (was: Apache Spark)
> Allow reserved keywords in most places
>
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Apache Spark commented on SPARK-15789:
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User 'hvanhovell' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15789:
Assignee: Apache Spark
> Allow reserved keywords in most places
>
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Apache Spark reassigned SPARK-15781:
Assignee: Apache Spark
> Misleading deprecated property in standalone cluster
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Apache Spark reassigned SPARK-15781:
Assignee: (was: Apache Spark)
> Misleading deprecated property in standalone cluster
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Apache Spark commented on SPARK-15781:
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User 'bomeng' has created a pull request for this issue:
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Nezih Yigitbasi updated SPARK-15782:
Summary: --packages doesn't work with the spark-shell (was: --packages
doesn't work the
Nick Pentreath created SPARK-15790:
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Summary: Audit @Since annotations in ML
Key: SPARK-15790
URL: https://issues.apache.org/jira/browse/SPARK-15790
Project: Spark
Issue Type: Documentation
Nick Pentreath created SPARK-15788:
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Summary: PySpark IDFModel missing "idf" property
Key: SPARK-15788
URL: https://issues.apache.org/jira/browse/SPARK-15788
Project: Spark
Issue Type:
Herman van Hovell created SPARK-15789:
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Summary: Allow reserved keywords in most places
Key: SPARK-15789
URL: https://issues.apache.org/jira/browse/SPARK-15789
Project: Spark
Issue Type:
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Sean Owen resolved SPARK-15778.
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Resolution: Fixed
> Add 2.0.0-preview to dropdown / reorg description of previews at
>
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Apache Spark reassigned SPARK-15204:
Assignee: (was: Apache Spark)
> Improve nullability inference for Aggregator
>
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Apache Spark commented on SPARK-15204:
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User 'koertkuipers' has created a pull request for this
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Apache Spark reassigned SPARK-15204:
Assignee: Apache Spark
> Improve nullability inference for Aggregator
>
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Apache Spark commented on SPARK-15654:
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User 'davies' has created a pull request for this issue:
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UTKARSH BHATNAGAR commented on SPARK-7960:
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DEBUG Output:
16/06/06 20:29:00 DEBUG
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Sean Owen reopened SPARK-15778:
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One more comment from [~rxin] -- maybe put the preview releases in a separate
section in the dropdown.
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Sean Owen updated SPARK-15778:
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Attachment: Screen Shot 2016-06-06 at 21.25.59.png
Now with Stable/Preview section.
It's sort of funny
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koert kuipers commented on SPARK-15507:
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also soon we will not try to do this in a RDD anymore
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Imran Rashid commented on SPARK-15783:
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Turned the tests off via
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Joseph K. Bradley commented on SPARK-15069:
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h4. 6/6/2016 - Week 3
To-do items
* Continuation
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Joseph K. Bradley updated SPARK-15767:
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Assignee: Kai Jiang
Affects Version/s: (was: 2.1.0)
Target
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Kai Jiang commented on SPARK-15672:
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Working on it.
> R programming guide update
>
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koert kuipers commented on SPARK-15507:
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we do not know all the columns, but we do not want to drop
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UTKARSH BHATNAGAR commented on SPARK-7960:
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This problem persists in Spark 1.6.1 too , have
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Sean Owen resolved SPARK-15778.
---
Resolution: Fixed
Fix Version/s: 2.0.0
Live at http://spark.apache.org/downloads.html
> Add
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Wenchen Fan commented on SPARK-15507:
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if you have a RDD[Row], just call `rdd.toDF().as[YourClass]`,
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Davies Liu reassigned SPARK-15654:
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Assignee: Davies Liu (was: Takeshi Yamamuro)
> Reading gzipped files results in duplicate
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Apache Spark commented on SPARK-14279:
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User 'dhruve' has created a pull request for this issue:
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Michael Armbrust updated SPARK-15786:
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Target Version/s: 2.0.0
> joinWith bytecode generation calling ByteBuffer.wrap with
nalin garg created SPARK-15787:
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Summary: Display more helpful error messages for several invalid
operations
Key: SPARK-15787
URL: https://issues.apache.org/jira/browse/SPARK-15787
Project: Spark
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Sean Zhong commented on SPARK-15632:
*Root cause analysis:*
*The root cause is that the
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Sean Zhong commented on SPARK-15632:
There are more issues linked with this bug which we may to fix
Richard Marscher created SPARK-15786:
Summary: Spark SQL - joinWith bytecode generation calling
ByteBuffer.wrap with InternalRow
Key: SPARK-15786
URL: https://issues.apache.org/jira/browse/SPARK-15786
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Richard Marscher updated SPARK-15786:
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Summary: joinWith bytecode generation calling ByteBuffer.wrap with
InternalRow (was:
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Apache Spark reassigned SPARK-15632:
Assignee: Xiang Zhong (was: Apache Spark)
> Dataset typed filter operation changes query
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Apache Spark commented on SPARK-15632:
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User 'clockfly' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15632:
Assignee: Apache Spark (was: Xiang Zhong)
> Dataset typed filter operation changes query
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Josh Rosen resolved SPARK-15764.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13505
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Cheng Lian updated SPARK-15654:
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Assignee: Takeshi Yamamuro
> Reading gzipped files results in duplicate rows
>
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koert kuipers commented on SPARK-15780:
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original discussion is here:
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Christoph Tavan commented on SPARK-11159:
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I can confirm this bug with spark 1.6.1 on databricks.
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Shivaram Venkataraman commented on SPARK-13525:
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[~vmenda] Your stack trace indicates that
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Burak Yavuz edited comment on SPARK-14767 at 6/6/16 6:11 PM:
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I still run
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Burak Yavuz commented on SPARK-14767:
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I still run into this
> Codegen "no constructor found" errors
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Reynold Xin commented on SPARK-15778:
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See https://issues.apache.org/jira/browse/INFRA-12051 for the
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Shivaram Venkataraman commented on SPARK-15159:
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That sounds good. Also one way to handle
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https://issues.apache.org/jira/browse/SPARK-8426?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Imran Rashid updated SPARK-8426:
Attachment: DesignDocforBlacklistMechanism.pdf
Updated Design Doc, based on performance tests and
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https://issues.apache.org/jira/browse/SPARK-15687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15316858#comment-15316858
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Kazuaki Ishizaki edited comment on SPARK-15687 at 6/6/16 5:49 PM:
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Thank
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https://issues.apache.org/jira/browse/SPARK-15778?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15316865#comment-15316865
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Reynold Xin commented on SPARK-15778:
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LGTM.
Maybe we should request INFRA to convert the website
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https://issues.apache.org/jira/browse/SPARK-15778?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15316865#comment-15316865
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Reynold Xin edited comment on SPARK-15778 at 6/6/16 5:49 PM:
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LGTM.
Maybe we
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https://issues.apache.org/jira/browse/SPARK-15687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15316858#comment-15316858
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Kazuaki Ishizaki commented on SPARK-15687:
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Thank you for your answers
* How we pass columnar
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https://issues.apache.org/jira/browse/SPARK-13174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15316848#comment-15316848
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Shivaram Venkataraman commented on SPARK-13174:
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+1 for `read.df("path/to/file.csv", source
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https://issues.apache.org/jira/browse/SPARK-15781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15316838#comment-15316838
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Sean Owen commented on SPARK-15781:
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It's probably OK to document them as long as they actually have an
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https://issues.apache.org/jira/browse/SPARK-14380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15314617#comment-15314617
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Xinh Huynh edited comment on SPARK-14380 at 6/6/16 5:29 PM:
Existing
Xinh Huynh created SPARK-15785:
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Summary: Add initialModel param to Gaussian Mixture Model (GMM) in
spark.ml
Key: SPARK-15785
URL: https://issues.apache.org/jira/browse/SPARK-15785
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15314345#comment-15314345
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Xinh Huynh edited comment on SPARK-14380 at 6/6/16 5:26 PM:
Completely
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