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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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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
Max Moroz created SPARK-16205:
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Summary: dict -> StructType conversion is undocumented
Key: SPARK-16205
URL: https://issues.apache.org/jira/browse/SPARK-16205
Project: Spark
Issue Type: Documenta
Max Moroz created SPARK-16204:
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Summary: Row() interfact
Key: SPARK-16204
URL: https://issues.apache.org/jira/browse/SPARK-16204
Project: Spark
Issue Type: Improvement
Components: PySpa
Max Moroz created SPARK-16203:
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Summary: regexp_extract to return an ArrayType(StringType())
Key: SPARK-16203
URL: https://issues.apache.org/jira/browse/SPARK-16203
Project: Spark
Issue Type: Imp
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Apache Spark reassigned SPARK-16202:
Assignee: (was: Apache Spark)
> Misleading Description of CreatableRelationProvider's
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Apache Spark reassigned SPARK-16202:
Assignee: Apache Spark
> Misleading Description of CreatableRelationProvider's createRelat
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Apache Spark commented on SPARK-16202:
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User 'gatorsmile' has created a pull request
Xiao Li created SPARK-16202:
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Summary: Misleading Description of CreatableRelationProvider's
createRelation
Key: SPARK-16202
URL: https://issues.apache.org/jira/browse/SPARK-16202
Project: Spark
I
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Matthew Porter commented on SPARK-16183:
Much of the length is due to using colum
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Dongjoon Hyun commented on SPARK-16183:
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Hi, [~hvanhovell].
Does Spark have SQL Que
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Davies Liu updated SPARK-16173:
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Fix Version/s: 1.5.3
> Can't join describe() of DataFrame in Scala 2.10
> ---
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Davies Liu updated SPARK-16173:
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Fix Version/s: 2.0.1
> Can't join describe() of DataFrame in Scala 2.10
> ---
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Davies Liu updated SPARK-16173:
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Assignee: Dongjoon Hyun
> Can't join describe() of DataFrame in Scala 2.10
>
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Davies Liu resolved SPARK-16173.
Resolution: Fixed
Fix Version/s: 1.6.2
Issue resolved by pull request 13902
[https://github.
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Herman van Hovell commented on SPARK-16183:
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In Spark 1.6 the HiveContext uses
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Matthew Porter commented on SPARK-16183:
We use AWS EMR, so I was planning on wai
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Herman van Hovell resolved SPARK-16192.
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Resolution: Resolved
Assignee: Takeshi Yamamuro
Fix Version/s
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Herman van Hovell updated SPARK-16192:
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Affects Version/s: (was: 1.6.1)
2.0.0
> Improve the type che
Herman van Hovell created SPARK-16201:
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Summary: Expose information schema
Key: SPARK-16201
URL: https://issues.apache.org/jira/browse/SPARK-16201
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-16173:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark commented on SPARK-16200:
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User 'maropu' has created a pull request for
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Apache Spark reassigned SPARK-16200:
Assignee: (was: Apache Spark)
> Rename AggregateFunction#supportsPartial
> ---
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Apache Spark reassigned SPARK-16200:
Assignee: Apache Spark
> Rename AggregateFunction#supportsPartial
> --
Takeshi Yamamuro created SPARK-16200:
Summary: Rename AggregateFunction#supportsPartial
Key: SPARK-16200
URL: https://issues.apache.org/jira/browse/SPARK-16200
Project: Spark
Issue Type:
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Herman van Hovell commented on SPARK-16183:
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We have overhauled the parser in S
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Herman van Hovell resolved SPARK-16195.
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Resolution: Resolved
Assignee: Dilip Biswal
> Allow users to specify empty over
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Davies Liu resolved SPARK-16186.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13887
[https://github.
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Dongjoon Hyun updated SPARK-16186:
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Description:
One of the most frequent usage patterns for Spark SQL is using **cached
tables**.
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Apache Spark reassigned SPARK-16199:
Assignee: Apache Spark (was: Reynold Xin)
> Add a method to list the referenced columns i
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Apache Spark reassigned SPARK-16199:
Assignee: Reynold Xin (was: Apache Spark)
> Add a method to list the referenced columns i
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Apache Spark commented on SPARK-16199:
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User 'rxin' has created a pull request for t
Reynold Xin created SPARK-16199:
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Summary: Add a method to list the referenced columns in data
source Filter
Key: SPARK-16199
URL: https://issues.apache.org/jira/browse/SPARK-16199
Project: Spark
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Reynold Xin updated SPARK-16179:
Fix Version/s: (was: 2.0.0)
2.0.1
> UDF explosion yielding empty dataframe f
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Reynold Xin resolved SPARK-16179.
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Resolution: Fixed
Fix Version/s: 2.0.0
> UDF explosion yielding empty dataframe fails
> --
Hussein Hazimeh created SPARK-16198:
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Summary: Change the access level of the predict method in
spark.ml.Predictor to public
Key: SPARK-16198
URL: https://issues.apache.org/jira/browse/SPARK-16198
P
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Matthew Porter commented on SPARK-16183:
The query has a bit of proprietary infor
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Dilip Biswal updated SPARK-16195:
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Description:
In SQL, its allowed to specify an empty OVER clause in the window expression.
{code
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Apache Spark reassigned SPARK-16173:
Assignee: Apache Spark
> Can't join describe() of DataFrame in Scala 2.10
> --
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Apache Spark commented on SPARK-16173:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-16173:
Assignee: (was: Apache Spark)
> Can't join describe() of DataFrame in Scala 2.10
> ---
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Davies Liu resolved SPARK-16077.
Resolution: Fixed
Fix Version/s: 2.0.1
1.6.3
Issue resolved by pull reque
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Davies Liu reassigned SPARK-16077:
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Assignee: Davies Liu
> Python UDF may fail because of six
> --
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Apache Spark reassigned SPARK-16196:
Assignee: Andrew Or (was: Apache Spark)
> Optimize in-memory scan performance using Colum
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Apache Spark commented on SPARK-16196:
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User 'andrewor14' has created a pull request
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Apache Spark reassigned SPARK-16196:
Assignee: Apache Spark (was: Andrew Or)
> Optimize in-memory scan performance using Colum
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Dongjoon Hyun commented on SPARK-16173:
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Hi, [~davies] and [~bomeng].
If you don't
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Dongjoon Hyun commented on SPARK-16173:
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Of course, with Scala 2.10.
> Can't join
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Apache Spark reassigned SPARK-16197:
Assignee: Apache Spark
> Cleanup PySpark status api and example
>
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Apache Spark reassigned SPARK-16197:
Assignee: (was: Apache Spark)
> Cleanup PySpark status api and example
> -
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Apache Spark commented on SPARK-16197:
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User 'BryanCutler' has created a pull reques
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Michael Gummelt commented on SPARK-16194:
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Ah, yea, that's what I need. I'd like
Andrew Or created SPARK-16196:
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Summary: Optimize in-memory scan performance using ColumnarBatches
Key: SPARK-16196
URL: https://issues.apache.org/jira/browse/SPARK-16196
Project: Spark
Issue Typ
Bryan Cutler created SPARK-16197:
Summary: Cleanup PySpark status api and example
Key: SPARK-16197
URL: https://issues.apache.org/jira/browse/SPARK-16197
Project: Spark
Issue Type: Improvemen
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Michael Gummelt commented on SPARK-16194:
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> Env variables are pretty much from o
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Marcelo Vanzin commented on SPARK-16194:
For YARN you have {{spark.yarn.appMaster
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Apache Spark reassigned SPARK-16195:
Assignee: Apache Spark
> Allow users to specify empty over clause in window expressions th
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Apache Spark commented on SPARK-16195:
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User 'dilipbiswal' has created a pull reques
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Apache Spark reassigned SPARK-16195:
Assignee: (was: Apache Spark)
> Allow users to specify empty over clause in window exp
Dilip Biswal created SPARK-16195:
Summary: Allow users to specify empty over clause in window
expressions through dataset API
Key: SPARK-16195
URL: https://issues.apache.org/jira/browse/SPARK-16195
Pr
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Apache Spark commented on SPARK-16193:
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User 'srowen' has created a pull request for
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Sean Owen updated SPARK-16194:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
Env variables are pretty much f
Michael Gummelt created SPARK-16194:
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Summary: No way to dynamically set env vars on driver in cluster
mode
Key: SPARK-16194
URL: https://issues.apache.org/jira/browse/SPARK-16194
Project: Spark
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Apache Spark reassigned SPARK-16193:
Assignee: Apache Spark (was: Sean Owen)
> Address flaky ExternalAppendOnlyMapSuite spilli
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Apache Spark reassigned SPARK-16193:
Assignee: Sean Owen (was: Apache Spark)
> Address flaky ExternalAppendOnlyMapSuite spilli
Sean Owen created SPARK-16193:
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Summary: Address flaky ExternalAppendOnlyMapSuite spilling tests
Key: SPARK-16193
URL: https://issues.apache.org/jira/browse/SPARK-16193
Project: Spark
Issue Type:
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Kai Jiang updated SPARK-16112:
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Summary: R programming guide update for gapply and gapplyCollect (was: R
programming guide update for
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Shivaram Venkataraman commented on SPARK-16112:
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Feel free to include both
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Russell Bradberry commented on SPARK-10073:
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with this, you added:
{code}asser
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Xiangrui Meng commented on SPARK-16164:
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[~lian cheng] See my last comment on GitHu
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Narine Kokhlikyan commented on SPARK-16112:
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[~felixcheung], [~shivaram], [~sun
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Imran Rashid updated SPARK-15963:
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Description:
Before this change, if either of the following cases happened to a task , the
task
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Imran Rashid resolved SPARK-15963.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13685
[https://git
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Imran Rashid updated SPARK-15963:
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Assignee: Liwei Lin
> `TaskKilledException` is not correctly caught in `Executor.TaskRunner`
> --
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Apache Spark reassigned SPARK-15254:
Assignee: (was: Apache Spark)
> Improve ML pipeline Cross Validation Scaladoc & PyDoc
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Apache Spark reassigned SPARK-15254:
Assignee: Apache Spark
> Improve ML pipeline Cross Validation Scaladoc & PyDoc
> -
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Apache Spark commented on SPARK-15254:
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User 'krishnakalyan3' has created a pull req
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Thomas Graves commented on SPARK-15955:
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there are some corner cases in spark 1.x t
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Apache Spark reassigned SPARK-14172:
Assignee: Apache Spark
> Hive table partition predicate not passed down correctly
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Apache Spark reassigned SPARK-14172:
Assignee: (was: Apache Spark)
> Hive table partition predicate not passed down correct
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Apache Spark commented on SPARK-14172:
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User 'jiangxb1987' has created a pull reques
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Nick Pentreath commented on SPARK-16149:
I'd generally vote for:
* if it's a new
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Nick Pentreath resolved SPARK-15997.
Resolution: Fixed
Fix Version/s: 2.0.1
Issue resolved by pull request 13745
[https:/
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cen yuhai updated SPARK-16188:
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Priority: Major (was: Minor)
> Spark sql create a lot of small files
> ---
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Apache Spark commented on SPARK-16192:
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User 'maropu' has created a pull request for
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Apache Spark reassigned SPARK-16192:
Assignee: (was: Apache Spark)
> Improve the type check of CollectSet in CheckAnalysis
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Apache Spark reassigned SPARK-16192:
Assignee: Apache Spark
> Improve the type check of CollectSet in CheckAnalysis
> -
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Apache Spark reassigned SPARK-6685:
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Assignee: Apache Spark
> Use DSYRK to compute AtA in ALS
> ---
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https://issues.apache.org/jira/browse/SPARK-6685?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15348116#comment-15348116
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Apache Spark commented on SPARK-6685:
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User 'hqzizania' has created a pull request for
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Apache Spark reassigned SPARK-6685:
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Assignee: (was: Apache Spark)
> Use DSYRK to compute AtA in ALS
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Takeshi Yamamuro created SPARK-16192:
Summary: Improve the type check of CollectSet in CheckAnalysis
Key: SPARK-16192
URL: https://issues.apache.org/jira/browse/SPARK-16192
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15348108#comment-15348108
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Jonathan Taws commented on SPARK-15917:
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I made a change to the *StandaloneSchedule
Matthew Livesey created SPARK-16191:
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Summary: Code-Generated SpecificColumnarIterator fails for wide
pivot with caching
Key: SPARK-16191
URL: https://issues.apache.org/jira/browse/SPARK-16191
Proje
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https://issues.apache.org/jira/browse/SPARK-16190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-16190:
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Priority: Minor (was: Critical)
How did they stop and how were they restarted?
> Worker registration
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Thomas Huang updated SPARK-16190:
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Attachment: spark-mqq-org.apache.spark.deploy.worker.Worker-1-slave2.out
worker log of slave 2
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Thomas Huang updated SPARK-16190:
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Attachment: spark-mqq-org.apache.spark.deploy.worker.Worker-1-slave19.out
worker log of slave 19
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Thomas Huang updated SPARK-16190:
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Attachment: spark-mqq-org.apache.spark.deploy.worker.Worker-1-slave8.out
worker log of slave 8
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Thomas Huang updated SPARK-16190:
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Attachment: spark-mqq-org.apache.spark.deploy.worker.Worker-1-slave7.out
worker log of slave7
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Thomas Huang created SPARK-16190:
Summary: Worker registration failed: Duplicate worker ID
Key: SPARK-16190
URL: https://issues.apache.org/jira/browse/SPARK-16190
Project: Spark
Issue Type: B
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https://issues.apache.org/jira/browse/SPARK-16188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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cen yuhai updated SPARK-16188:
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Affects Version/s: (was: 2.0.0)
> Spark sql create a lot of small files
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