Dongjoon Hyun created SPARK-14580:
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Summary: HiveTypeCoercion.IfCoercion should preserve original
predicates.
Key: SPARK-14580
URL: https://issues.apache.org/jira/browse/SPARK-14580
Project: Spark
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Apache Spark commented on SPARK-14579:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14579:
Assignee: Shixiong Zhu (was: Apache Spark)
> Fix a race condition in
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Apache Spark reassigned SPARK-14579:
Assignee: Apache Spark (was: Shixiong Zhu)
> Fix a race condition in
Shixiong Zhu created SPARK-14579:
Summary: Fix a race condition in
StreamExecution.processAllAvailable
Key: SPARK-14579
URL: https://issues.apache.org/jira/browse/SPARK-14579
Project: Spark
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Davies Liu resolved SPARK-14544.
Resolution: Fixed
Fix Version/s: 2.0.0
> Spark UI is very slow in recent Chrome
>
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Michael Armbrust updated SPARK-13753:
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Description:
There is a problem in spark sql to derive nullable column and used in
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Michael Armbrust updated SPARK-13753:
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Description:
There is a problem in spark sql to derive nullable column and used in
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Michael Armbrust updated SPARK-13753:
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Target Version/s: 2.0.0
Priority: Critical (was: Major)
> Column nullable
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Apache Spark reassigned SPARK-14578:
Assignee: Davies Liu (was: Apache Spark)
> Can't load a json dataset with nested wide
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Apache Spark commented on SPARK-14578:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14578:
Assignee: Apache Spark (was: Davies Liu)
> Can't load a json dataset with nested wide
Davies Liu created SPARK-14578:
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Summary: Can't load a json dataset with nested wide schema
Key: SPARK-14578
URL: https://issues.apache.org/jira/browse/SPARK-14578
Project: Spark
Issue Type:
Reynold Xin created SPARK-14577:
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Summary: spark.sql.codegen.maxCaseBranches config option
Key: SPARK-14577
URL: https://issues.apache.org/jira/browse/SPARK-14577
Project: Spark
Issue Type:
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Reynold Xin commented on SPARK-14577:
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cc [~dongjoon] want to do this?
>
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Apache Spark reassigned SPARK-14414:
Assignee: Apache Spark (was: Andrew Or)
> Make error messages consistent across DDLs
>
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Andrew Or reopened SPARK-14414:
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> Make error messages consistent across DDLs
> --
>
>
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Apache Spark reassigned SPARK-14414:
Assignee: Andrew Or (was: Apache Spark)
> Make error messages consistent across DDLs
>
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Joseph K. Bradley closed SPARK-14575.
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Resolution: Won't Fix
> Make spark.ml GaussianMixture.probabilityCol output optional
>
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Joseph K. Bradley commented on SPARK-14575:
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Actually, I'm closing this. I'd like to do it for
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Apache Spark reassigned SPARK-14573:
Assignee: Apache Spark
> Python docs Makefile overrides shell environment variables
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Apache Spark reassigned SPARK-14573:
Assignee: (was: Apache Spark)
> Python docs Makefile overrides shell environment
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Apache Spark commented on SPARK-14573:
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User 'holdenk' has created a pull request for this issue:
Ergin Seyfe created SPARK-14576:
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Summary: Spark console should display Web UI url
Key: SPARK-14576
URL: https://issues.apache.org/jira/browse/SPARK-14576
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-11321:
Assignee: (was: Apache Spark)
> Allow addition of non-nullable UDFs
>
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Apache Spark commented on SPARK-11321:
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User 'kevincox' has created a pull request for this issue:
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Apache Spark reassigned SPARK-11321:
Assignee: Apache Spark
> Allow addition of non-nullable UDFs
>
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Joseph K. Bradley commented on SPARK-14516:
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[~podongfeng] [~akamal] could you please
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Josh Rosen updated SPARK-14574:
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Summary: Pure Java modules should not have _2.xx suffixes in their package
names (was: Scala-free
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Joseph K. Bradley updated SPARK-14516:
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Description:
MLlib does not have any general purposed clustering metrics with a ground
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Joseph K. Bradley updated SPARK-14516:
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Component/s: (was: MLlib)
> Clustering evaluator
>
>
>
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Joseph K. Bradley updated SPARK-14516:
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Summary: Clustering evaluator (was: What about adding general clustering
metrics?)
>
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Apache Spark reassigned SPARK-14574:
Assignee: Josh Rosen (was: Apache Spark)
> Scala-free modules should not have _2.xx
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Apache Spark commented on SPARK-14574:
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User 'JoshRosen' has created a pull request for this issue:
Joseph K. Bradley created SPARK-14575:
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Summary: Make spark.ml GaussianMixture.probabilityCol output
optional
Key: SPARK-14575
URL: https://issues.apache.org/jira/browse/SPARK-14575
Project:
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Apache Spark reassigned SPARK-14574:
Assignee: Apache Spark (was: Josh Rosen)
> Scala-free modules should not have _2.xx
Josh Rosen created SPARK-14574:
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Summary: Scala-free modules should not have _2.xx suffixes in
their package names
Key: SPARK-14574
URL: https://issues.apache.org/jira/browse/SPARK-14574
Project: Spark
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Reynold Xin resolved SPARK-14513.
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Resolution: Fixed
Assignee: Terence Yim
Fix Version/s: 2.0.0
> Threads left
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Reynold Xin resolved SPARK-14414.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Make error messages consistent across DDLs
>
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Sean Owen commented on SPARK-14572:
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I don't think it's necessary to explicitly tell people they can
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Xiangrui Meng commented on SPARK-14311:
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I think we can implement a generic load in a Scalar
holdenk created SPARK-14573:
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Summary: Python docs Makefile overrides shell environment
variables breaking linting
Key: SPARK-14573
URL: https://issues.apache.org/jira/browse/SPARK-14573
Project: Spark
Dhruve Ashar created SPARK-14572:
Summary: Update Config Doc to specify -Xms in extraJavaOptions
Key: SPARK-14572
URL: https://issues.apache.org/jira/browse/SPARK-14572
Project: Spark
Issue
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Yong Tang commented on SPARK-14531:
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Thanks [~hermansc], I noticed that my previous understanding may
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Davies Liu resolved SPARK-14562.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12328
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Apache Spark reassigned SPARK-14568:
Assignee: (was: Apache Spark)
> Log instrumentation in logistic regression as a first
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Apache Spark reassigned SPARK-14568:
Assignee: Apache Spark
> Log instrumentation in logistic regression as a first task
>
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Apache Spark commented on SPARK-14568:
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User 'thunterdb' has created a pull request for this issue:
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Shixiong Zhu resolved SPARK-14556.
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Resolution: Fixed
Assignee: Liwei Lin
Fix Version/s: 2.0.0
> Code clean-ups
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Timothy Hunter updated SPARK-14567:
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Description:
In order to debug performance issues when training mllib algorithms,
it is
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Timothy Hunter updated SPARK-14567:
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Description:
In order to debug performance issues when training mllib algorithms,
it is
Timothy Hunter created SPARK-14571:
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Summary: Log instrumentation in ALS
Key: SPARK-14571
URL: https://issues.apache.org/jira/browse/SPARK-14571
Project: Spark
Issue Type: Sub-task
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Xiangrui Meng updated SPARK-14549:
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Shepherd: Xiangrui Meng
> Copy the Vector and Matrix classes from mllib to ml in mllib-local
>
Timothy Hunter created SPARK-14570:
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Summary: Log instrumentation in Random forests
Key: SPARK-14570
URL: https://issues.apache.org/jira/browse/SPARK-14570
Project: Spark
Issue Type:
Timothy Hunter created SPARK-14569:
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Summary: Log instrumentation in KMeans
Key: SPARK-14569
URL: https://issues.apache.org/jira/browse/SPARK-14569
Project: Spark
Issue Type: Sub-task
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Xiangrui Meng resolved SPARK-14147.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11958
Timothy Hunter created SPARK-14568:
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Summary: Log instrumentation in logistic regression as a first task
Key: SPARK-14568
URL: https://issues.apache.org/jira/browse/SPARK-14568
Project: Spark
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Xiangrui Meng updated SPARK-14147:
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Assignee: Yanbo Liang
> SparkR - ML predictors return features with vector datatype, however
Timothy Hunter created SPARK-14567:
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Summary: Add instrumentation logs to MLlib training algorithms
Key: SPARK-14567
URL: https://issues.apache.org/jira/browse/SPARK-14567
Project: Spark
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Apache Spark reassigned SPARK-14566:
Assignee: Cheng Lian (was: Apache Spark)
> When appending to partitioned persisted
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Apache Spark commented on SPARK-14566:
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User 'liancheng' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14566:
Assignee: Apache Spark (was: Cheng Lian)
> When appending to partitioned persisted
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Jason C Lee commented on SPARK-14564:
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Looks straightforward enough. I will give it a shot!
> Python
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Xiangrui Meng resolved SPARK-14563.
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Resolution: Fixed
Fix Version/s: 1.6.2
2.0.0
Issue resolved by
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Xiangrui Meng updated SPARK-13597:
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Assignee: Kai Jiang
> Python API for GeneralizedLinearRegression
>
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Xiangrui Meng resolved SPARK-13597.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11468
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Xiangrui Meng resolved SPARK-13322.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11365
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Xiangrui Meng updated SPARK-13590:
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Summary: Document the behavior of spark.ml logistic regression and AFT
survival regression
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Xiangrui Meng updated SPARK-13590:
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Assignee: Yanbo Liang
> Document the behavior of spark.ml logistic regression when there are
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Cheng Lian edited comment on SPARK-14566 at 4/12/16 6:25 PM:
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This bug is
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Cheng Lian commented on SPARK-14566:
This bug is exposed after fixing SPARK-14458.
These two bugs
Cheng Lian created SPARK-14566:
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Summary: When appending to partitioned persisted table, we should
apply a projection over input query plan using existing metastore schema
Key: SPARK-14566
URL:
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Xiangrui Meng reopened SPARK-14154:
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Re-open this issue to continue discussion.
> Simplify the implementation for Kolmogorov–Smirnov
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Xiangrui Meng updated SPARK-14565:
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Description: Using regex is not robust and hard to maintain.
> RandomForest should use
Xiangrui Meng created SPARK-14565:
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Summary: RandomForest should use parseInt and parseDouble for
feature subset size instead of regexes
Key: SPARK-14565
URL: https://issues.apache.org/jira/browse/SPARK-14565
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Xiangrui Meng commented on SPARK-14154:
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[~yuhaoyan] The main purpose of the initial implementation
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Michael Armbrust resolved SPARK-14474.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12247
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Xiangrui Meng resolved SPARK-14324.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Refactor GLMs code in SparkRWrappers
>
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Xiangrui Meng resolved SPARK-12566.
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Resolution: Fixed
Fix Version/s: 2.0.0
> GLM model family, link function support in
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Apache Spark reassigned SPARK-14563:
Assignee: Apache Spark (was: Xiangrui Meng)
> SQLTransformer.transformSchema is not
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Apache Spark reassigned SPARK-14563:
Assignee: Xiangrui Meng (was: Apache Spark)
> SQLTransformer.transformSchema is not
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Apache Spark commented on SPARK-14563:
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User 'mengxr' has created a pull request for this issue:
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Xiangrui Meng updated SPARK-14563:
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Description:
`transformSchema` uses `__THIS__` as a temp table name, which would cause
errors
Brad Willard created SPARK-14564:
Summary: Python Word2Vec missing setWindowSize method
Key: SPARK-14564
URL: https://issues.apache.org/jira/browse/SPARK-14564
Project: Spark
Issue Type: Bug
Xiangrui Meng created SPARK-14563:
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Summary: SQLTransformer.transformSchema is not implemented
correctly
Key: SPARK-14563
URL: https://issues.apache.org/jira/browse/SPARK-14563
Project: Spark
Miles Crawford created SPARK-14561:
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Summary: History Server does not see new logs in S3
Key: SPARK-14561
URL: https://issues.apache.org/jira/browse/SPARK-14561
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-14562:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14562:
Assignee: Davies Liu (was: Apache Spark)
> Improve constraints propagation in Union
>
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Apache Spark reassigned SPARK-14562:
Assignee: Apache Spark (was: Davies Liu)
> Improve constraints propagation in Union
>
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Miles Crawford commented on SPARK-14561:
Steve Loughran on the user list says:
{quote}
s3 isn't a
Davies Liu created SPARK-14562:
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Summary: Improve constraints propagation in Union
Key: SPARK-14562
URL: https://issues.apache.org/jira/browse/SPARK-14562
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237407#comment-15237407
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Gayathri Murali edited comment on SPARK-14503 at 4/12/16 3:44 PM:
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https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237407#comment-15237407
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Gayathri Murali commented on SPARK-14503:
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[~josephkb] [~yuhaoyan] and I can work on this. Will
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https://issues.apache.org/jira/browse/SPARK-14154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237346#comment-15237346
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Apache Spark commented on SPARK-14154:
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User 'hhbyyh' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-3724.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11989
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https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-3724:
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Shepherd: Nick Pentreath
> RandomForest: More options for feature subset size
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https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-3724:
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Assignee: Yong Tang
> RandomForest: More options for feature subset size
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https://issues.apache.org/jira/browse/SPARK-14493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-14493.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12303
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https://issues.apache.org/jira/browse/SPARK-14488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-14488.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12303
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https://issues.apache.org/jira/browse/SPARK-11293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237239#comment-15237239
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Imran Rashid commented on SPARK-11293:
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For users that are hitting *real* OOMs from similar error
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