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Reynold Xin commented on SPARK-16733:
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Putting the comment here as well:
So I think the proper fix
Herman van Hovell created SPARK-16749:
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Summary: Clean-up OffsetWindowFrame
Key: SPARK-16749
URL: https://issues.apache.org/jira/browse/SPARK-16749
Project: Spark
Issue Type: Improvement
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Wenchen Fan resolved SPARK-16729.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14358
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Nick Pentreath edited comment on SPARK-14489 at 7/27/16 9:03 AM:
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Thanks
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Sean Owen updated SPARK-16743:
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Affects Version/s: (was: 1.6.1)
Priority: Minor (was: Major)
Issue Type:
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fengchaoge commented on SPARK-15817:
spark.sql.hive.metastore.jars
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Wenchen Fan resolved SPARK-16733.
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Resolution: Won't Fix
> use antlr to parse column name instead of implementing it ourselves
>
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Wenchen Fan updated SPARK-16729:
Assignee: Peter Lee
> Spark should throw analysis exception for invalid casts to date type
>
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Apache Spark reassigned SPARK-16749:
Assignee: Herman van Hovell (was: Apache Spark)
> Clean-up OffsetWindowFrame
>
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Apache Spark reassigned SPARK-16749:
Assignee: Apache Spark (was: Herman van Hovell)
> Clean-up OffsetWindowFrame
>
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Reynold Xin updated SPARK-16621:
Fix Version/s: 2.0.1
> Generate stable SQLs in SQLBuilder
> --
>
>
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Sean Owen commented on SPARK-16745:
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I think the answer is reasonably clear here -- it's delayed in
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Sean Owen commented on SPARK-16746:
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If you're saying that the error is in timing out or being unable
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Herman van Hovell commented on SPARK-15232:
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[~dongjoon] off course you can!
> Add subquery
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Herman van Hovell edited comment on SPARK-15232 at 7/27/16 8:24 AM:
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Apache Spark commented on SPARK-16749:
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User 'hvanhovell' has created a pull request for this issue:
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Nick Pentreath commented on SPARK-14489:
Thanks for the thoughts Krishna.
# Initially I also
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Yanbo Liang updated SPARK-16750:
Description:
ML GaussianMixture training failed due to feature column type mistake. The
feature
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Yanbo Liang updated SPARK-16750:
Description:
ML GaussianMixture training failed due to feature column type mistake. The
feature
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Yanbo Liang updated SPARK-16750:
Description:
ML GaussianMixture training failed due to feature column type mistake. The
feature
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Apache Spark reassigned SPARK-16750:
Assignee: Yanbo Liang (was: Apache Spark)
> ML GaussianMixture training failed due to
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Apache Spark reassigned SPARK-16750:
Assignee: Apache Spark (was: Yanbo Liang)
> ML GaussianMixture training failed due to
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Apache Spark commented on SPARK-16750:
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User 'yanboliang' has created a pull request for this issue:
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Hongyao Zhao commented on SPARK-16746:
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I think if spark.streaming.receiver.writeAheadLog.enable is
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Sean Owen resolved SPARK-15817.
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Resolution: Not A Problem
> Spark client picking hive 1.2.1 by default which failed to alter a table
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Alexander Ulanov commented on SPARK-9120:
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Thanks for the comment, RegressionModel does not extend
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Nick Pentreath reassigned SPARK-14489:
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Assignee: Nick Pentreath
> RegressionEvaluator returns NaN for ALS in Spark ml
>
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Hongyao Zhao edited comment on SPARK-16746 at 7/27/16 10:06 AM:
I think
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Yuming Wang commented on SPARK-16625:
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{code:java}
val jdbcUrl =
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Apache Spark commented on SPARK-16625:
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User 'wangyum' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16625:
Assignee: Apache Spark
> Oracle JDBC table creation fails with ORA-00902: invalid
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Sean Owen commented on SPARK-16606:
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[~ja...@japila.pl] are you working on this or should I zap it?
>
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Jacek Laskowski commented on SPARK-16606:
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Haven't really started to be honest. I'd like to work
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Apache Spark reassigned SPARK-16625:
Assignee: (was: Apache Spark)
> Oracle JDBC table creation fails with ORA-00902:
Yanbo Liang created SPARK-16750:
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Summary: ML GaussianMixture training failed due to feature column
type mistake
Key: SPARK-16750
URL: https://issues.apache.org/jira/browse/SPARK-16750
Project: Spark
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Lve Chen commented on SPARK-16085:
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[~srowen] [~jerryshao]
I'm in a similar circumstance where we are
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Alexander Ulanov commented on SPARK-10627:
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[~RubenJanssen] These are major features. Could you
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Alexander Ulanov updated SPARK-9120:
Description:
org.apache.spark.ml.regression.RegressionModel supports prediction only for a
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Ash Pran updated SPARK-16752:
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Description:
We are having a strange issue with Spark Job Server (SJS)
We are using SJS 0.6.1 and Spark
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Maciej Bryński commented on SPARK-15541:
[~srowen]
I have patch that resolve this issue.
Do you
Ash Pran created SPARK-16752:
Summary: Spark Job Server not releasing jobs from "running list"
even after yarn completes the job
Key: SPARK-16752
URL: https://issues.apache.org/jira/browse/SPARK-16752
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Marcelo Vanzin resolved SPARK-16752.
Resolution: Invalid
This is not the place to report bugs about the SJS, which is unrelated
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Ash Pran updated SPARK-16752:
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Attachment: SJS_JOBS_RUNNING
SJS_JOB_LOG_CONSOLE
SJS_JOB_COMP_YARN
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Ash Pran edited comment on SPARK-16752 at 7/27/16 4:11 PM:
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Please see the
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Anh Nguyen updated SPARK-16762:
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Attachment: Screen Shot 2016-07-28 at 12.34.22 PM.png
> spark hanging when action method print
>
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Anh Nguyen updated SPARK-16762:
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Attachment: Screen Shot 2016-07-28 at 12.33.35 PM.png
> spark hanging when action method print
>
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Marcelo Vanzin resolved SPARK-5847.
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Resolution: Fixed
Assignee: Mark Grover
Fix Version/s: 2.1.0
> Allow for
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Matthew Gwynne commented on SPARK-15872:
I have had what appears to be exactly the same issue in
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Jurriaan Pruis commented on SPARK-16753:
[~rxin] Do you know something about this? I've seen a
Jurriaan Pruis created SPARK-16753:
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Summary: Spark SQL doesn't handle skewed dataset joins properly
Key: SPARK-16753
URL: https://issues.apache.org/jira/browse/SPARK-16753
Project: Spark
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Matthew Gwynne updated SPARK-15872:
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Comment: was deleted
(was: I have had what appears to be exactly the same issue in 1.6.2.
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Shixiong Zhu commented on SPARK-16754:
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The issue is because OuterScopes.getOuterScope assumes
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Apache Spark reassigned SPARK-16673:
Assignee: Apache Spark
> New Executor Page displays columns that used to be conditionally
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Jurriaan Pruis commented on SPARK-16753:
This is looks like a skew problem to me since the tasks
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Niels Becker commented on SPARK-16450:
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Its out
> Build failes for Mesos 0.28.x
>
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Reynold Xin commented on SPARK-16753:
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Is this a problem with skew, or a problem with GC? Have you
Shixiong Zhu created SPARK-16754:
Summary: NPE when defining case class and searching Encoder in the
same line
Key: SPARK-16754
URL: https://issues.apache.org/jira/browse/SPARK-16754
Project: Spark
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Shixiong Zhu commented on SPARK-16754:
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Perhaps we should inject
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Apache Spark commented on SPARK-16673:
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User 'ajbozarth' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16673:
Assignee: (was: Apache Spark)
> New Executor Page displays columns that used to be
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Shixiong Zhu updated SPARK-15675:
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Priority: Major (was: Minor)
> Implicit resolution doesn't work in multiple Statements in Spark
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Shixiong Zhu updated SPARK-16754:
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Priority: Minor (was: Major)
> NPE when defining case class and searching Encoder in the same
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Shixiong Zhu updated SPARK-15675:
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Priority: Minor (was: Major)
> Implicit resolution doesn't work in multiple Statements in Spark
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Jurriaan Pruis commented on SPARK-16753:
It's not only more memory, they also take up a lot more
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Niels Becker resolved SPARK-16755.
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Resolution: Not A Problem
> Enable external shuffle service with Mesos Docker Containers
>
Niels Becker created SPARK-16755:
Summary: Enable external shuffle service with Mesos Docker
Containers
Key: SPARK-16755
URL: https://issues.apache.org/jira/browse/SPARK-16755
Project: Spark
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Apache Spark reassigned SPARK-15232:
Assignee: (was: Apache Spark)
> Add subquery SQL building tests to
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Apache Spark commented on SPARK-15232:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-15232:
Assignee: Apache Spark
> Add subquery SQL building tests to LogicalPlanToSQLSuite
>
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Reynold Xin commented on SPARK-16753:
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Yea I understand some tasks are using more memory due to data
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Michael Gummelt commented on SPARK-16450:
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I'll update soon. Though this pending PR updates to
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Dongjoon Hyun commented on SPARK-16756:
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If there is anything you have in mind, please give me
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Reynold Xin commented on SPARK-16756:
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That makes sense.
> Add `sql` function to LogicalPlan and
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Dongjoon Hyun updated SPARK-16756:
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Description:
Like `Expression`, this issue adds `sql` function for `LogicalPlan` and
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Marcelo Vanzin resolved SPARK-16110.
Resolution: Fixed
Assignee: Kevin Grealish
Fix Version/s: 2.1.0
> Can't
Dongjoon Hyun created SPARK-16756:
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Summary: Add `sql` function to LogicalPlan and `NonSQLPlan` trait
Key: SPARK-16756
URL: https://issues.apache.org/jira/browse/SPARK-16756
Project: Spark
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Reynold Xin commented on SPARK-16756:
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This makes sense. Are there flags we might want to pass into
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Dongjoon Hyun edited comment on SPARK-16756 at 7/27/16 8:45 PM:
Until
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Jay White Bear commented on SPARK-16365:
The discussion is about adding a full blown linear
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Dongjoon Hyun commented on SPARK-16756:
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Hi, [~rxin].
So far, I've been working in this direction.
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Adam Roberts updated SPARK-16751:
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Description:
This JIRA is to upgrade the derby version from 10.11.1.1 to 10.12.1.1
Sean and I
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Reynold Xin updated SPARK-16729:
Fix Version/s: 2.0.1
> Spark should throw analysis exception for invalid casts to date type
>
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Sean Owen resolved SPARK-16450.
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Resolution: Duplicate
This is subsumed by the containerizer change, which updates for Mesos 1.x
>
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Sean Owen commented on SPARK-15541:
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What's your fix -- avoiding directly calling this method?
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Weiqing Yang commented on SPARK-15857:
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That single PR is for subtasks 1, 2 and 4. Based on the
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Dongjoon Hyun commented on SPARK-16756:
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Until now, there are no flags. I'm trying to not use any
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Sean Owen updated SPARK-16751:
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Priority: Minor (was: Critical)
We can do this, sure, but why is it Critical? tests have zero surface
Weiqing Yang created SPARK-16759:
Summary: Spark expose an API to pass in Caller Context into it
Key: SPARK-16759
URL: https://issues.apache.org/jira/browse/SPARK-16759
Project: Spark
Issue
Weiqing Yang created SPARK-16760:
Summary: Pass 'jobId' to Task
Key: SPARK-16760
URL: https://issues.apache.org/jira/browse/SPARK-16760
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-15857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15396583#comment-15396583
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Weiqing Yang commented on SPARK-15857:
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To make review easier, subtasks have been created.
> Add
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https://issues.apache.org/jira/browse/SPARK-15857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15396638#comment-15396638
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Sean Owen commented on SPARK-15857:
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How about elaborating with a design doc before making all these
Weiqing Yang created SPARK-16758:
Summary: Set up caller context to YARN
Key: SPARK-16758
URL: https://issues.apache.org/jira/browse/SPARK-16758
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-16443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16443:
Assignee: Apache Spark (was: Junyang Qian)
> ALS wrapper in SparkR
>
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https://issues.apache.org/jira/browse/SPARK-16443?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15396580#comment-15396580
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Apache Spark commented on SPARK-16443:
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User 'junyangq' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16443:
Assignee: Junyang Qian (was: Apache Spark)
> ALS wrapper in SparkR
>
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https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Ulanov updated SPARK-5575:
Description:
*Goal:* Implement various types of artificial neural networks
*Motivation:*
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https://issues.apache.org/jira/browse/SPARK-16745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15395567#comment-15395567
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Joe Chong commented on SPARK-16745:
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Thanks for the reply. This is a standalone Spark instantiation.
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Alexander Ulanov updated SPARK-5575:
Description:
*Goal:* Implement various types of artificial neural networks
*Motivation:*
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https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Ulanov updated SPARK-5575:
Description:
*Goal:* Implement various types of artificial neural networks
*Motivation:*
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https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Ulanov updated SPARK-5575:
Description:
*Goal:* Implement various types of artificial neural networks
*Motivation:*
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