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Sean Owen commented on SPARK-16188:
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Generally the idea is to merge to fewer partitions
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cen yuhai commented on SPARK-16188:
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[~hyukjin.kwon] It is not just empty files, but a
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Sean Owen updated SPARK-16214:
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Assignee: Yang Hao
Priority: Minor (was: Major)
Description:
As the denominator is n, th
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Sean Owen reopened SPARK-16214:
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Fixing up this JIRA. It should not be resolved, etc.
> make SparkPi iteration time correct
> ---
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Herman van Hovell commented on SPARK-16211:
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It would also be great if we could
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Herman van Hovell commented on SPARK-16217:
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This seems like a sensible thing t
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Sean Owen commented on SPARK-16211:
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Can you try with some more recent version? I don't
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Herman van Hovell updated SPARK-16217:
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Target Version/s: 2.1.0
> Support SELECT INTO statement
> -
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Herman van Hovell updated SPARK-16217:
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Affects Version/s: (was: 2.0.0)
2.1.0
> Support SELECT INTO
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Kazuaki Ishizaki commented on SPARK-16070:
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I added two JIRA entries, which addr
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Renat Bekbolatov updated SPARK-16211:
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Summary: DataFrame filter is buggy when used with "and" (was: DataFrame
filter is buggy
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Renat Bekbolatov updated SPARK-16211:
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Description:
df was a result of several joins with some upstream tables having column nam
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Renat Bekbolatov updated SPARK-16211:
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Comment: was deleted
(was: I haven't tested this on a later version.
)
> DataFrame filte
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Apache Spark commented on SPARK-16216:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark reassigned SPARK-16216:
Assignee: (was: Apache Spark)
> CSV data source does not write date and timestamp corr
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Apache Spark reassigned SPARK-16216:
Assignee: Apache Spark
> CSV data source does not write date and timestamp correctly
> ---
GuangFancui(ISCAS) created SPARK-16217:
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Summary: Support SELECT INTO statement
Key: SPARK-16217
URL: https://issues.apache.org/jira/browse/SPARK-16217
Project: Spark
Issue Type: Improve
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Apache Spark commented on SPARK-16215:
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User 'kiszk' has created a pull request for
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Apache Spark reassigned SPARK-16215:
Assignee: (was: Apache Spark)
> Reduce runtime overhead of a program that writes an pr
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Apache Spark reassigned SPARK-16215:
Assignee: Apache Spark
> Reduce runtime overhead of a program that writes an primitive arr
Hyukjin Kwon created SPARK-16216:
Summary: CSV data source does not write date and timestamp
correctly
Key: SPARK-16216
URL: https://issues.apache.org/jira/browse/SPARK-16216
Project: Spark
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Dongjoon Hyun commented on SPARK-16208:
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New PR is in the process of review.
> Add
Kazuaki Ishizaki created SPARK-16215:
Summary: Reduce runtime overhead of a program that writes an
primitive array in Dataframe/Dataset
Key: SPARK-16215
URL: https://issues.apache.org/jira/browse/SPARK-16215
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Dongjoon Hyun reopened SPARK-16208:
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I made a new PR.
> Add `CollapseEmptyPlan` optimizer
> -
>
>
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Yang Hao updated SPARK-16214:
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Attachment: (was: SPARK-16214.patch)
> make SparkPi iteration time correct
>
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Yang Hao updated SPARK-16214:
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Description:
As the denominator is n, the iteration time should also be n
was:
As the denominator is
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Yang Hao updated SPARK-16214:
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Attachment: SPARK-16214.patch
> make SparkPi iteration time correct
> ---
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Yang Hao resolved SPARK-16214.
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Resolution: Resolved
> make SparkPi iteration time correct
> ---
>
>
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Yang Hao updated SPARK-16214:
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Attachment: SPARK-16214.patch
> make SparkPi iteration time correct
> ---
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Yang Hao updated SPARK-16214:
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Summary: make SparkPi iteration time correct (was: optimize SparkPi)
> make SparkPi iteration time corre
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Yang Hao updated SPARK-16214:
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Summary: optimize SparkPi (was: calculate pi is not correct)
> optimize SparkPi
>
>
>
Yang Hao created SPARK-16214:
Summary: calculate pi is not correct
Key: SPARK-16214
URL: https://issues.apache.org/jira/browse/SPARK-16214
Project: Spark
Issue Type: Improvement
Compone
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Apache Spark commented on SPARK-16213:
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User 'kiszk' has created a pull request for
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Apache Spark reassigned SPARK-16213:
Assignee: Apache Spark
> Reduce runtime overhead of a program that creates an primitive ar
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Apache Spark reassigned SPARK-16213:
Assignee: (was: Apache Spark)
> Reduce runtime overhead of a program that creates an p
Kazuaki Ishizaki created SPARK-16213:
Summary: Reduce runtime overhead of a program that creates an
primitive array in DataFrame
Key: SPARK-16213
URL: https://issues.apache.org/jira/browse/SPARK-16213
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Venkata Satish Kumar Reddy Pichipipati commented on SPARK-13767:
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Apache Spark reassigned SPARK-16212:
Assignee: Apache Spark
> code cleanup of kafka-0-8 to match review feedback on 0-10
>
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Apache Spark commented on SPARK-16212:
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User 'koeninger' has created a pull request
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Apache Spark reassigned SPARK-16212:
Assignee: (was: Apache Spark)
> code cleanup of kafka-0-8 to match review feedback on
Cody Koeninger created SPARK-16212:
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Summary: code cleanup of kafka-0-8 to match review feedback on 0-10
Key: SPARK-16212
URL: https://issues.apache.org/jira/browse/SPARK-16212
Project: Spark
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Tom Magrino edited comment on SPARK-16148 at 6/26/16 1:41 AM:
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Tom Magrino commented on SPARK-16148:
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For posterity, I'm adding Tejas Patil's respon
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Renat Bekbolatov updated SPARK-16211:
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Environment: CDH 5.5.0/YARN
> DataFrame filter is buggy when possibly: AND clause, one of
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Renat Bekbolatov updated SPARK-16211:
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Component/s: SQL
Spark Shell
> DataFrame filter is buggy when possibly:
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Renat Bekbolatov commented on SPARK-16211:
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I haven't tested this on a later ver
Renat Bekbolatov created SPARK-16211:
Summary: DataFrame filter is buggy when possibly: AND clause, one
of the columns involved is of type String
Key: SPARK-16211
URL: https://issues.apache.org/jira/browse/SPA
Simeon Simeonov created SPARK-16210:
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Summary: DataFrame.drop(colName) fails if another column has a
period in its name
Key: SPARK-16210
URL: https://issues.apache.org/jira/browse/SPARK-16210
Projec
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MIN-FU YANG edited comment on SPARK-15516 at 6/25/16 11:23 PM:
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Apache Spark reassigned SPARK-16209:
Assignee: (was: Apache Spark)
> Convert Hive Tables to Data Source Tables for CREATE T
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Apache Spark commented on SPARK-16209:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-16209:
Assignee: Apache Spark
> Convert Hive Tables to Data Source Tables for CREATE TABLE AS SEL
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Xiao Li updated SPARK-16185:
Description:
When we do not turn on the Hive Support, the following query generates a
confusing error mess
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MIN-FU YANG edited comment on SPARK-15516 at 6/25/16 11:07 PM:
Xiao Li created SPARK-16209:
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Summary: Convert Hive Tables to Data Source Tables for CREATE
TABLE AS SELECT
Key: SPARK-16209
URL: https://issues.apache.org/jira/browse/SPARK-16209
Project: Spark
I
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MIN-FU YANG commented on SPARK-15516:
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[~holdenk], I found a test case in DataTypeSui
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Dongjoon Hyun updated SPARK-16208:
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Description:
This PR adds a new logical optimizer, `CollapseEmptyPlan`, to collapse a
logical
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Apache Spark commented on SPARK-16208:
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User 'dongjoon-hyun' has created a pull requ
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Dongjoon Hyun commented on SPARK-16183:
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Oh, I see what you mean. Thank you.
> Lar
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Herman van Hovell commented on SPARK-16183:
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[~dongjoon] We don't have a parser
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Dongjoon Hyun commented on SPARK-16208:
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I will revisit this issue later.
> Add `C
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Dongjoon Hyun closed SPARK-16208.
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Resolution: Incomplete
> Add `CollapseEmptyPlan` optimizer
> -
>
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Herman van Hovell commented on SPARK-16203:
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I do agree that this is not effici
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Alex Jiang commented on SPARK-13288:
Agree. For DirectStream, we don't need to create
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Sean Owen resolved SPARK-16193.
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Resolution: Fixed
Fix Version/s: 2.0.1
1.6.3
Issue resolved by pull request
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Max Moroz commented on SPARK-16207:
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Would something like this be useful in the docs? I
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Max Moroz commented on SPARK-16203:
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Hive SQL syntax allows the return value from a fun
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Hyukjin Kwon commented on SPARK-16188:
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Is this a duplicated of SPARK-10216 maybe?
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Hyukjin Kwon edited comment on SPARK-16188 at 6/25/16 10:04 AM:
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Apache Spark reassigned SPARK-16208:
Assignee: (was: Apache Spark)
> Add `CollapseEmptyPlan` optimizer
> --
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Apache Spark reassigned SPARK-16208:
Assignee: Apache Spark
> Add `CollapseEmptyPlan` optimizer
> -
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Apache Spark reassigned SPARK-16208:
Assignee: Apache Spark
> Add `CollapseEmptyPlan` optimizer
> -
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Apache Spark commented on SPARK-16208:
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User 'dongjoon-hyun' has created a pull requ
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Sean Owen commented on SPARK-15861:
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Does this resolve the problem / answer the questio
Dongjoon Hyun created SPARK-16208:
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Summary: Add `CollapseEmptyPlan` optimizer
Key: SPARK-16208
URL: https://issues.apache.org/jira/browse/SPARK-16208
Project: Spark
Issue Type: Improvement
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MIN-FU YANG edited comment on SPARK-15516 at 6/25/16 9:11 AM:
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MIN-FU YANG commented on SPARK-15516:
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[~holdenk] I am wondering the banning on schem
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Max Moroz updated SPARK-16205:
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Description:
According to the docs, StructType is equivalent only to python list and tuple.
I accident
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Sean Owen commented on SPARK-16203:
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I'm pretty certain this is for consistency with Hi
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Max Moroz updated SPARK-16205:
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Description:
According to the docs, StructType is equivalent only to python list and tuple.
I accident
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MIN-FU YANG edited comment on SPARK-15516 at 6/25/16 8:35 AM:
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Sean Owen updated SPARK-16207:
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Priority: Minor (was: Major)
Generally, things like RDD and DataFrame don't guarantee any order at all
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MIN-FU YANG edited comment on SPARK-15516 at 6/25/16 8:35 AM:
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Max Moroz updated SPARK-16204:
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Summary: Row() interface (was: Change Row() interface)
> Row() interface
> ---
>
>
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Max Moroz updated SPARK-16204:
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Summary: Change Row() interface (was: Row() interfact)
> Change Row() interface
>
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Sean Owen updated SPARK-1301:
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Assignee: Alex Bozarth
> Add UI elements to collapse "Aggregated Metrics by Executor" pane on stage
> pag
Max Moroz created SPARK-16207:
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Summary: order guarantees for DataFrames
Key: SPARK-16207
URL: https://issues.apache.org/jira/browse/SPARK-16207
Project: Spark
Issue Type: Documentation
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https://issues.apache.org/jira/browse/SPARK-1301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-1301.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13037
[https://github.com/a
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https://issues.apache.org/jira/browse/SPARK-15958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-15958:
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Assignee: Sital Kedia
> Make initial buffer size for the Sorter configurable
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https://issues.apache.org/jira/browse/SPARK-15958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-15958.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13699
[https://github.co
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https://issues.apache.org/jira/browse/SPARK-16206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16206.
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Resolution: Not A Problem
If this is more of a discussion, ask at user@. You can implement whatever y
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https://issues.apache.org/jira/browse/SPARK-16198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-16198:
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Priority: Minor (was: Major)
> Change the access level of the predict method in spark.ml.Predictor to
Danilo Bustos Pérez created SPARK-16206:
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Summary: Defining our own folds using CrossValidator
Key: SPARK-16206
URL: https://issues.apache.org/jira/browse/SPARK-16206
Project: Spark
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