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Carlos Bribiescas updated SPARK-10795:
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Comment: was deleted
(was: What is the command you use when this happens? I had this
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Apache Spark commented on SPARK-13437:
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User 'kiszk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-13437:
Assignee: (was: Apache Spark)
> Add InternalColumn
> --
>
>
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Xusen Yin commented on SPARK-11381:
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[~devaraj.k] Are you interested in working on it?
> Replace
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JESSE CHEN commented on SPARK-13288:
The code is simple but I can't share the data per legal
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Julien Baley commented on SPARK-13046:
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Well, my call to:
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Carlos Bribiescas edited comment on SPARK-10795 at 2/22/16 8:57 PM:
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Carlos Bribiescas commented on SPARK-10795:
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Using this command spark-submit --master
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Apache Spark reassigned SPARK-13437:
Assignee: Apache Spark
> Add InternalColumn
> --
>
> Key:
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Shixiong Zhu commented on SPARK-13288:
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Do you have a simple reproducer?
> [1.6.0] Memory leak in
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Michael Armbrust updated SPARK-11624:
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Priority: Critical (was: Major)
> Spark SQL CLI will set sessionstate twice
>
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Michael Armbrust updated SPARK-11624:
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Target Version/s: 1.6.1
> Spark SQL CLI will set sessionstate twice
>
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Yin Huai commented on SPARK-13046:
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[~julien.baley]
I tried the following code
{code}
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Yin Huai commented on SPARK-10109:
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InternalParquetRecordWriter's close method can be only called once.
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Andrew Or updated SPARK-12583:
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Target Version/s: 2.0.0 (was: 1.6.1)
> spark shuffle fails with mesos after 2mins
>
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Oscar D. Lara Yejas updated SPARK-13436:
Description:
Parameter drops allows to return a vector/data.frame accordingly if
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Oscar D. Lara Yejas updated SPARK-13436:
Issue Type: Task (was: Bug)
> Add parameter drop to subsetting oeprator
>
Kazuaki Ishizaki created SPARK-13437:
Summary: Add InternalColumn
Key: SPARK-13437
URL: https://issues.apache.org/jira/browse/SPARK-13437
Project: Spark
Issue Type: Improvement
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Alex Bozarth updated SPARK-13298:
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Attachment: no-dag.png
Using your reproducer I saw the same js error but the dag image was
Oscar D. Lara Yejas created SPARK-13436:
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Summary: Add parameter drop to subsetting oeprator
Key: SPARK-13436
URL: https://issues.apache.org/jira/browse/SPARK-13436
Project: Spark
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Oscar D. Lara Yejas commented on SPARK-13436:
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I'm working on this one
> Add parameter drop
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Carlos Bribiescas commented on SPARK-10795:
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What is the command you use when this happens? I
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Apache Spark commented on SPARK-13298:
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User 'zsxwing' has created a pull request for this issue:
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Shixiong Zhu commented on SPARK-13298:
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Thanks for the reproducer. Just submit a PR to fix it.
>
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Apache Spark reassigned SPARK-13298:
Assignee: Apache Spark (was: Shixiong Zhu)
> DAG visualization does not render correctly
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Apache Spark reassigned SPARK-13298:
Assignee: Shixiong Zhu (was: Apache Spark)
> DAG visualization does not render correctly
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Shixiong Zhu reassigned SPARK-13298:
Assignee: Shixiong Zhu
> DAG visualization does not render correctly for jobs
>
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Michael Armbrust updated SPARK-12546:
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Assignee: Michael Armbrust
Target Version/s: 1.6.1
Priority:
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Apache Spark reassigned SPARK-12546:
Assignee: Michael Armbrust (was: Apache Spark)
> Writing to partitioned parquet table
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Apache Spark reassigned SPARK-12546:
Assignee: Apache Spark (was: Michael Armbrust)
> Writing to partitioned parquet table
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Apache Spark commented on SPARK-12546:
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User 'marmbrus' has created a pull request for this issue:
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Carlos Bribiescas edited comment on SPARK-10795 at 2/22/16 8:58 PM:
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Carlos Bribiescas edited comment on SPARK-10795 at 2/22/16 8:58 PM:
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Andrew Or resolved SPARK-10749.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Support multiple roles with Spark Mesos dispatcher
>
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Andrew Or updated SPARK-12757:
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Target Version/s: 2.0.0
> Use reference counting to prevent blocks from being evicted during reads
>
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Oscar D. Lara Yejas updated SPARK-13436:
Issue Type: Sub-task (was: Task)
Parent: SPARK-9315
> Add parameter drop
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Oscar D. Lara Yejas updated SPARK-13436:
Summary: Add parameter drop to subsetting operator [ (was: Add parameter
drop to
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Andrew Or updated SPARK-13298:
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Target Version/s: 1.6.1, 2.0.0
> DAG visualization does not render correctly for jobs
>
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Nick Pentreath commented on SPARK-13289:
[~daiqi5477] could you try your experiments again
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Nick Pentreath commented on SPARK-13026:
[~holdenk] is this JIRA necessary, as it duplicates
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Nick Pentreath resolved SPARK-12632.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11186
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Nick Pentreath updated SPARK-13334:
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Assignee: Yanbo Liang
> ML KMeansModel/BisectingKMeansModel should be set parent
>
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Nick Pentreath resolved SPARK-13334.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11214
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Zhichao Zhang commented on SPARK-13431:
I can't build it with sbt because downloading jar from
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Xiangrui Meng updated SPARK-13448:
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Description:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can
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Xiangrui Meng resolved SPARK-13429.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11299
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Xiangrui Meng updated SPARK-13429:
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Assignee: Yanbo Liang
> Unify Logistic Regression convergence tolerance of ML & MLlib
>
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Xiangrui Meng updated SPARK-12363:
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Fix Version/s: 2.0.0
1.6.1
1.5.3
>
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Xiangrui Meng resolved SPARK-12363.
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Resolution: Fixed
Fix Version/s: (was: 1.6.1)
(was: 1.5.3)
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Xiangrui Meng resolved SPARK-13355.
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Resolution: Fixed
> Replace GraphImpl.fromExistingRDDs by Graph
>
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Xiangrui Meng updated SPARK-13355:
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Fix Version/s: 1.6.2
2.0.0
1.5.3
1.4.2
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Lifeng Wang updated SPARK-13446:
Description:
Spark provided HIveContext class to read data from hive metastore directly.
While it
Xiangrui Meng created SPARK-13448:
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Summary: Document MLlib behavior changes in Spark 2.0
Key: SPARK-13448
URL: https://issues.apache.org/jira/browse/SPARK-13448
Project: Spark
Issue Type:
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Xiangrui Meng commented on SPARK-12363:
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I think it is still useful to backport the fix. People may
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Xiangrui Meng updated SPARK-12746:
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Fix Version/s: 1.6.2
> ArrayType(_, true) should also accept ArrayType(_, false)
>
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Xiangrui Meng resolved SPARK-13257.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11125
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lichenglin updated SPARK-13433:
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Description:
I have a 16 cores cluster.
A Running driver at least use 1 core may be more.
When I
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Ewan Higgs updated SPARK-13434:
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Attachment: rf-heap-usage.png
JConsole output of memory use with 1.3G file.
> Reduce Spark
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Sean Owen commented on SPARK-13434:
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I'm missing what you're proposing -- what is the opportunity to
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lichenglin commented on SPARK-13433:
It's something like deadlock.
driver use all cores> application
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Iulian Dragos commented on SPARK-13431:
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Well, the class file format isn't embedding any names
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lichenglin updated SPARK-13433:
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Description:
I have a 16 cores cluster.
When I submit a lot of job to the standalone server in
zhengruifeng created SPARK-13435:
Summary: Add Weighted Cohen's kappa to MulticlassMetrics
Key: SPARK-13435
URL: https://issues.apache.org/jira/browse/SPARK-13435
Project: Spark
Issue Type:
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Sean Owen commented on SPARK-13431:
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Shade doesn't do optimization but it certainly does several
Ewan Higgs created SPARK-13434:
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Summary: Reduce Spark RandomForest memory footprint
Key: SPARK-13434
URL: https://issues.apache.org/jira/browse/SPARK-13434
Project: Spark
Issue Type:
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Sean Owen resolved SPARK-13433.
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Resolution: Not A Problem
I don't see that this is a problem. You're saying that if you use all your
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Sean Owen updated SPARK-13435:
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Priority: Minor (was: Major)
I'm neutral on it... it's not widely used and easy to compute from the
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Apache Spark reassigned SPARK-13435:
Assignee: Apache Spark
> Add Weighted Cohen's kappa to MulticlassMetrics
>
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Apache Spark reassigned SPARK-13435:
Assignee: (was: Apache Spark)
> Add Weighted Cohen's kappa to MulticlassMetrics
>
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Shyam commented on SPARK-10420:
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Hi all, is there any activity around this ticket?
> Implementing Reactive
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Apache Spark commented on SPARK-13435:
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User 'zhengruifeng' has created a pull request for this
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Herman van Hovell commented on SPARK-13431:
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The good/bad news is that I can reproduce this
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Iulian Dragos edited comment on SPARK-13431 at 2/22/16 1:29 PM:
In my
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Nick Pentreath updated SPARK-12379:
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Assignee: Seth Hendrickson
> Copy GBT implementation to spark.ml
>
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Iulian Dragos commented on SPARK-13431:
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In my experience the 'shade' plugin does a lot more than
lichenglin created SPARK-13433:
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Summary: The standalone should limit the count of Running Drivers
Key: SPARK-13433
URL: https://issues.apache.org/jira/browse/SPARK-13433
Project: Spark
Issue
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Ewan Higgs updated SPARK-13434:
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Attachment: heap-usage.log
Heap usage of RandomForest sampled with {{jmap -histo:live }} every
5
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Ewan Higgs commented on SPARK-13434:
SPARK-3728 is titled with a similar intent to this, but the
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Shixiong Zhu reassigned SPARK-13390:
Assignee: Shixiong Zhu
> Java Spark createDataFrame with List parameter bug
>
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Peter Ableda updated SPARK-13438:
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Description:
The current implementation uses the above schema for the saveAsTextFiles,
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Josh Rosen resolved SPARK-13413.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11282
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lichenglin commented on SPARK-13433:
I know the property 'spark.dirver.cores'
What I want to limit
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Apache Spark reassigned SPARK-13438:
Assignee: (was: Apache Spark)
> Remove by default dash from output paths
>
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Apache Spark reassigned SPARK-13438:
Assignee: Apache Spark
> Remove by default dash from output paths
>
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Apache Spark commented on SPARK-13438:
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User 'peterableda' has created a pull request for this
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Xusen Yin commented on SPARK-12042:
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I'll work on it.
> Python API for mllib.stat.test.StreamingTest
>
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holdenk updated SPARK-13025:
Issue Type: Bug (was: Sub-task)
Parent: (was: SPARK-13026)
> Allow user to specify the
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https://issues.apache.org/jira/browse/SPARK-13026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15157913#comment-15157913
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holdenk commented on SPARK-13026:
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yah we can probably close this and move SPARK-13025 under SPARK-11136.
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holdenk updated SPARK-13025:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-13026
> Allow user to specify the initial model
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https://issues.apache.org/jira/browse/SPARK-13433?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen closed SPARK-13433.
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The driver uses 1 core. If it can't schedule, nothing can. This is not
deadlock, it's just resource
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https://issues.apache.org/jira/browse/SPARK-13434?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15157105#comment-15157105
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Ewan Higgs commented on SPARK-13434:
Hi Sean,
This is using jmap with the {{-histo:live}} argument
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Iulian Dragos commented on SPARK-13431:
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Probably the easiest fix is to break some grammar elements
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https://issues.apache.org/jira/browse/SPARK-13433?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15157118#comment-15157118
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lichenglin commented on SPARK-13433:
But When? When someting else frees up resources??
All the cores
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https://issues.apache.org/jira/browse/SPARK-13219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15157292#comment-15157292
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Evan Chan commented on SPARK-13219:
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[~smilegator] [~doodlegum] what is the URL to the latest patch?
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https://issues.apache.org/jira/browse/SPARK-13266?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13266:
Assignee: Apache Spark
> Python DataFrameReader converts None to "None" instead of null
>
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Apache Spark reassigned SPARK-13266:
Assignee: (was: Apache Spark)
> Python DataFrameReader converts None to "None"
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https://issues.apache.org/jira/browse/SPARK-13266?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15157260#comment-15157260
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mathieu longtin commented on SPARK-13266:
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https://github.com/apache/spark/pull/11305
> Python
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Apache Spark commented on SPARK-13266:
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User 'mathieulongtin' has created a pull request for this
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mathieu longtin updated SPARK-13266:
Comment: was deleted
(was: https://github.com/apache/spark/pull/11305)
> Python
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Stavros Kontopoulos commented on SPARK-13431:
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The Java Virtual Machine specification limits
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