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Xin Ren commented on SPARK-16437:
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I'm working on it :)
> SparkR read.df() from parquet
Xin Ren created SPARK-16437:
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Summary: SparkR read.df() from parquet got error: SLF4J: Failed to
load class "org.slf4j.impl.StaticLoggerBinder"
Key: SPARK-16437
URL: https://issues.apache.org/jira/browse/SPARK-16437
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Peter Lee updated SPARK-16436:
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Summary: checkEvaluation should support NaN values (was: checkEvaluation
should support NaN values and
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Tathagata Das resolved SPARK-16430.
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Resolution: Fixed
> Add an option in file stream source to read 1 file at a time
> --
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Carson Wang commented on SPARK-16333:
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This doesn't look like related to SPARK-11206
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Peter Lee updated SPARK-16318:
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Summary: xpath_int, xpath_short, xpath_long, xpath_float, xpath_double,
xpath_string, and xpath (was:
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Namrata edited comment on SPARK-5770 at 7/8/16 5:09 AM:
Even I ran
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Namrata commented on SPARK-5770:
Even I ran into the same issue while reloading the jar f
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Reynold Xin updated SPARK-16286:
Fix Version/s: 2.0.1
> Implement stack table generating function
>
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Reynold Xin updated SPARK-16288:
Fix Version/s: 2.0.1
> Implement inline table generating function
> ---
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Reynold Xin updated SPARK-16271:
Fix Version/s: 2.0.1
> Implement Hive's UDFXPathUtil
> -
>
>
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Reynold Xin updated SPARK-16274:
Fix Version/s: 2.0.1
> Implement xpath_boolean
> ---
>
> Key: S
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Reynold Xin updated SPARK-16279:
Fix Version/s: 2.0.1
> Implement map_values SQL function
> -
>
>
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Reynold Xin updated SPARK-16278:
Fix Version/s: 2.0.1
> Implement map_keys SQL function
> ---
>
>
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Peter Lee updated SPARK-16276:
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Fix Version/s: 2.0.1
> Implement elt SQL function
> --
>
> Key:
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Peter Lee commented on SPARK-16276:
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I've also back ported this into branch-2.0 in case
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Peter Lee updated SPARK-16276:
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Comment: was deleted
(was: I've also back ported this into branch-2.0 in case we cut another rc, and
t
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Apache Spark reassigned SPARK-16436:
Assignee: (was: Apache Spark)
> checkEvaluation should support NaN values and RuntimeR
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Apache Spark reassigned SPARK-16436:
Assignee: Apache Spark
> checkEvaluation should support NaN values and RuntimeReplaceable
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Apache Spark commented on SPARK-16436:
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User 'petermaxlee' has created a pull reques
Peter Lee created SPARK-16436:
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Summary: checkEvaluation should support NaN values and
RuntimeReplaceable
Key: SPARK-16436
URL: https://issues.apache.org/jira/browse/SPARK-16436
Project: Spark
I
Saisai Shao created SPARK-16435:
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Summary: Behavior changes if initialExecutor is less than
minExecutor for dynamic allocation
Key: SPARK-16435
URL: https://issues.apache.org/jira/browse/SPARK-16435
Pro
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Neil Dewar commented on SPARK-16425:
Thanks so much Dongjoon. As someone without the
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Apache Spark reassigned SPARK-16434:
Assignee: Apache Spark
> Avoid record-per type dispatch in JSON when reading
> ---
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Apache Spark commented on SPARK-16434:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark reassigned SPARK-16434:
Assignee: (was: Apache Spark)
> Avoid record-per type dispatch in JSON when reading
>
Hyukjin Kwon created SPARK-16434:
Summary: Avoid record-per type dispatch in JSON when reading
Key: SPARK-16434
URL: https://issues.apache.org/jira/browse/SPARK-16434
Project: Spark
Issue Typ
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Apache Spark reassigned SPARK-16431:
Assignee: Apache Spark
> Add a unified method that accepts single instances to feature tra
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Apache Spark reassigned SPARK-16431:
Assignee: (was: Apache Spark)
> Add a unified method that accepts single instances to
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Apache Spark commented on SPARK-16431:
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User 'husseinhazimeh' has created a pull req
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Hussein Hazimeh updated SPARK-16431:
Summary: Add a unified method that accepts single instances to feature
transformers and pre
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Shivaram Venkataraman updated SPARK-16425:
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Assignee: Dongjoon Hyun
> SparkR summary() fails on column of type logical
> --
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Shivaram Venkataraman resolved SPARK-16425.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue
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Apache Spark reassigned SPARK-16433:
Assignee: Apache Spark (was: Shixiong Zhu)
> Improve StreamingQuery.explain when no data
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Apache Spark reassigned SPARK-16433:
Assignee: Shixiong Zhu (was: Apache Spark)
> Improve StreamingQuery.explain when no data
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Apache Spark commented on SPARK-16433:
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User 'zsxwing' has created a pull request fo
Shixiong Zhu created SPARK-16433:
Summary: Improve StreamingQuery.explain when no data arrives
Key: SPARK-16433
URL: https://issues.apache.org/jira/browse/SPARK-16433
Project: Spark
Issue Typ
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https://issues.apache.org/jira/browse/SPARK-16425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15367014#comment-15367014
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Dongjoon Hyun commented on SPARK-16425:
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It is a good issue. You're good at this if
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Apache Spark commented on SPARK-16432:
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User 'ericl' has created a pull request for
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Neil Dewar commented on SPARK-16425:
Thanks very much. I wasn't aware of the limitat
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Apache Spark reassigned SPARK-16432:
Assignee: Apache Spark
> Empty blocks fail to serialize due to assert in ChunkedByteBuffer
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Apache Spark reassigned SPARK-16432:
Assignee: (was: Apache Spark)
> Empty blocks fail to serialize due to assert in Chunke
Eric Liang created SPARK-16432:
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Summary: Empty blocks fail to serialize due to assert in
ChunkedByteBuffer
Key: SPARK-16432
URL: https://issues.apache.org/jira/browse/SPARK-16432
Project: Spark
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Eric Liang updated SPARK-16432:
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Component/s: Spark Core
> Empty blocks fail to serialize due to assert in ChunkedByteBuffer
> ---
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Cheng Lian edited comment on SPARK-16344 at 7/8/16 12:12 AM:
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Hussein Hazimeh created SPARK-16431:
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Summary: Add a unified method that accepts single instances in
transformers and predictors
Key: SPARK-16431
URL: https://issues.apache.org/jira/browse/SPARK-16431
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Manoj Kumar commented on SPARK-16365:
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Is the ultimate aim to make mllib-local, the s
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DB Tsai commented on SPARK-16404:
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I think something like the following will work. Note t
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Apache Spark reassigned SPARK-16380:
Assignee: Miao Wang (was: Apache Spark)
> Update SQL examples and programming guide for P
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Apache Spark commented on SPARK-16380:
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User 'wangmiao1981' has created a pull reque
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Apache Spark reassigned SPARK-16380:
Assignee: Apache Spark (was: Miao Wang)
> Update SQL examples and programming guide for P
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Miao Wang commented on SPARK-16380:
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I just finished the work. Sending PR now.
> Upda
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Dongjoon Hyun updated SPARK-16429:
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Description:
Currently, Spark `describe` supports `StringType`. However, `describe()`
returns
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Anton Okolnychyi commented on SPARK-16303:
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[~lian cheng]
I would like to share
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Luciano Resende edited comment on SPARK-16422 at 7/7/16 10:25 PM:
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Shivaram Venkataraman updated SPARK-16310:
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Fix Version/s: 2.1.0
> SparkR csv source should have the same default na.string
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Shivaram Venkataraman updated SPARK-16310:
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Assignee: Felix Cheung
> SparkR csv source should have the same default na.stri
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Shivaram Venkataraman resolved SPARK-16310.
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Resolution: Fixed
Fix Version/s: 2.0.1
Issue resolved by pull request
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Luciano Resende commented on SPARK-16422:
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When new builds are released, old ones
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Apache Spark reassigned SPARK-16425:
Assignee: (was: Apache Spark)
> SparkR summary() fails on column of type logical
> ---
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Apache Spark commented on SPARK-16425:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-16425:
Assignee: Apache Spark
> SparkR summary() fails on column of type logical
> --
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Dongjoon Hyun commented on SPARK-16425:
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I'll make a PR to prevent errors first.
>
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Thomas Graves commented on SPARK-16422:
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do we know why maven 3.3.3 got removed? I
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Xiao Li commented on SPARK-16423:
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Sure, let me find a right person for this. Thanks!
>
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Apache Spark reassigned SPARK-16429:
Assignee: Apache Spark
> Include `StringType` columns in Scala/Python `describe()`
> -
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Apache Spark reassigned SPARK-16429:
Assignee: (was: Apache Spark)
> Include `StringType` columns in Scala/Python `describe
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Apache Spark commented on SPARK-16429:
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User 'dongjoon-hyun' has created a pull requ
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John-Michael Reed updated SPARK-16428:
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Description:
Two people tested Apache Spark on their computers...
[Spark Download - ht
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Apache Spark reassigned SPARK-16430:
Assignee: Apache Spark (was: Tathagata Das)
> Add an option in file stream source to read
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Apache Spark reassigned SPARK-16430:
Assignee: Tathagata Das (was: Apache Spark)
> Add an option in file stream source to read
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Apache Spark commented on SPARK-16430:
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User 'tdas' has created a pull request for t
Tathagata Das created SPARK-16430:
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Summary: Add an option in file stream source to read 1 file at a
time
Key: SPARK-16430
URL: https://issues.apache.org/jira/browse/SPARK-16430
Project: Spark
Dongjoon Hyun created SPARK-16429:
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Summary: Include `StringType` columns in Scala/Python `describe()`
Key: SPARK-16429
URL: https://issues.apache.org/jira/browse/SPARK-16429
Project: Spark
I
John-Michael Reed created SPARK-16428:
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Summary: Spark file system watcher not working on Windows
Key: SPARK-16428
URL: https://issues.apache.org/jira/browse/SPARK-16428
Project: Spark
Is
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Nicholas Chammas commented on SPARK-16427:
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My first question about this would b
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Nicholas Chammas updated SPARK-3181:
Component/s: (was: MLilb)
MLlib
> Add Robust Regression Algorithm with
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Nicholas Chammas updated SPARK-16074:
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Component/s: (was: MLilb)
MLlib
> Expose VectorUDT/MatrixUDT in a pu
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Nicholas Chammas updated SPARK-16156:
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Component/s: (was: MLilb)
MLlib
> RowMatrıx Covariance
> ---
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Nicholas Chammas updated SPARK-16377:
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Component/s: (was: MLilb)
MLlib
> Spark MLlib: MultilayerPerceptronC
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Nicholas Chammas updated SPARK-16290:
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Component/s: (was: MLilb)
MLlib
> text type features column for clas
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Nicholas Chammas updated SPARK-16232:
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Component/s: (was: MLilb)
MLlib
> Getting error by making columns us
Nicholas Chammas created SPARK-16427:
Summary: Expand documentation on the various RDD storage levels
Key: SPARK-16427
URL: https://issues.apache.org/jira/browse/SPARK-16427
Project: Spark
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Nicholas Chammas commented on SPARK-15760:
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Updating component since it seems we
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Nicholas Chammas updated SPARK-15441:
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Component/s: (was: sq;)
SQL
> dataset outer join seems to return inc
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Nicholas Chammas updated SPARK-15772:
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Component/s: (was: docs)
> Improve Scala API docs
> ---
>
>
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Nicholas Chammas updated SPARK-15760:
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Component/s: (was: docs)
Documentation
> Documentation missing for p
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https://issues.apache.org/jira/browse/SPARK-8696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366695#comment-15366695
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Matthew Morgan commented on SPARK-8696:
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Here's my request for it; I'd like to use i
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https://issues.apache.org/jira/browse/SPARK-16083?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sudhakar Thota updated SPARK-16083:
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Attachment: (was: 27814004000_spark_heap_2016-06-17_12-05.hprof.gz)
> spark HistoryServer
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https://issues.apache.org/jira/browse/SPARK-16083?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sudhakar Thota updated SPARK-16083:
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Attachment: (was:
spark-spark-org.apache.spark.deploy.history.HistoryServer-1-testbic1on5
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Sudhakar Thota updated SPARK-16083:
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Attachment: (was: 27814.004.000.sparkhistoryservermemory.log.1)
> spark HistoryServer mem
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https://issues.apache.org/jira/browse/SPARK-16426?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nic Eggert updated SPARK-16426:
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Description:
{code}
val r = sc.parallelize(Seq[(Double, Double, Double)]((2, 1, 1), (1, 1, 1), (0,
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Nic Eggert created SPARK-16426:
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Summary: IsotonicRegression produces NaNs with certain data
Key: SPARK-16426
URL: https://issues.apache.org/jira/browse/SPARK-16426
Project: Spark
Issue Type: Bu
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https://issues.apache.org/jira/browse/SPARK-16425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366624#comment-15366624
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Dongjoon Hyun commented on SPARK-16425:
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Oh, sorry. I'll comment after more investi
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https://issues.apache.org/jira/browse/SPARK-16425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366612#comment-15366612
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Dongjoon Hyun commented on SPARK-16425:
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In SparkR, `summary` is an alias for `desc
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https://issues.apache.org/jira/browse/SPARK-16425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366609#comment-15366609
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Dongjoon Hyun commented on SPARK-16425:
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The possible quick fix is preventing the f
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https://issues.apache.org/jira/browse/SPARK-16240?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-16240:
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Priority: Major (was: Minor)
> model loading backward compatibility for ml.clustering.
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Joseph K. Bradley commented on SPARK-16240:
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It would be great to get help on t
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https://issues.apache.org/jira/browse/SPARK-16425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366604#comment-15366604
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Dongjoon Hyun commented on SPARK-16425:
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Unfortunately, Spark seems to support only
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https://issues.apache.org/jira/browse/SPARK-16422?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366582#comment-15366582
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Thomas Graves commented on SPARK-16422:
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I'll pop this discussions up on dev list a
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