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Xiao Li edited comment on SPARK-13320 at 2/15/16 7:57 AM:
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{code
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Xiao Li commented on SPARK-13320:
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{code}
checkAnswer(sql(
"""
| SELECT
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Saisai Shao commented on SPARK-13220:
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[~andrewor14] mind me taking a crack on this?
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Petar Zecevic commented on SPARK-13313:
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No, I don't think it's got anything to do
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Apache Spark commented on SPARK-11334:
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User 'jerryshao' has created a pull request
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Apache Spark reassigned SPARK-13321:
Assignee: (was: Apache Spark)
> Support nested UNION in parser
> -
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Apache Spark reassigned SPARK-13321:
Assignee: Apache Spark
> Support nested UNION in parser
> --
>
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Apache Spark commented on SPARK-13321:
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User 'viirya' has created a pull request for
Liang-Chi Hsieh created SPARK-13321:
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Summary: Support nested UNION in parser
Key: SPARK-13321
URL: https://issues.apache.org/jira/browse/SPARK-13321
Project: Spark
Issue Type: Bug
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Xiao Li commented on SPARK-13320:
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Sure, will do it. Thanks!
> Confusing error message f
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Reynold Xin resolved SPARK-12503.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Pushdown a Limit on top of a Union
>
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Jeff Zhang commented on SPARK-11102:
[~sowen] Which ticket has resolved this issue ?
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Reynold Xin reopened SPARK-12503:
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Assignee: Josh Rosen
> Pushdown a Limit on top of a Union
> --
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Cheng Lian resolved SPARK-13314.
Resolution: Not A Problem
I didn't realize that the extra vertical lines are used to indicate scope
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Cheng Lian updated SPARK-12720:
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Assignee: Xiao Li
> SQL generation support for cube, rollup, and grouping set
> -
Reynold Xin created SPARK-13320:
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Summary: Confusing error message for Dataset API when using
sum("*")
Key: SPARK-13320
URL: https://issues.apache.org/jira/browse/SPARK-13320
Project: Spark
Is
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Reynold Xin commented on SPARK-13320:
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cc [~smilegator] not sure if you have time. If
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Jeff Zhang commented on SPARK-12846:
Add the context mail thread in description, [~fe
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Jeff Zhang updated SPARK-12846:
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Description: Add the background context mail thread
http://apache-spark-developers-list.1001551.n3.na
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Jeff Zhang updated SPARK-12846:
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Description: Add the background context mail therad
http://apache-spark-developers-list.1001551.n3.na
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Apache Spark commented on SPARK-13318:
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User 'yinxusen' has created a pull request f
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Apache Spark reassigned SPARK-13036:
Assignee: Apache Spark
> PySpark ml.feature support export/import
> --
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Apache Spark reassigned SPARK-13318:
Assignee: (was: Apache Spark)
> Model export/import for spark.ml: ElementwiseProduct
>
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Apache Spark reassigned SPARK-13319:
Assignee: Apache Spark
> Pyspark VectorSlicer should have setDefault
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Apache Spark commented on SPARK-13319:
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User 'yinxusen' has created a pull request f
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Apache Spark reassigned SPARK-13319:
Assignee: (was: Apache Spark)
> Pyspark VectorSlicer should have setDefault
>
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Apache Spark commented on SPARK-13036:
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User 'yinxusen' has created a pull request f
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Apache Spark reassigned SPARK-13318:
Assignee: Apache Spark
> Model export/import for spark.ml: ElementwiseProduct
> --
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Apache Spark reassigned SPARK-13036:
Assignee: (was: Apache Spark)
> PySpark ml.feature support export/import
> ---
Xusen Yin created SPARK-13319:
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Summary: Pyspark VectorSlicer should have setDefault
Key: SPARK-13319
URL: https://issues.apache.org/jira/browse/SPARK-13319
Project: Spark
Issue Type: Bug
Xusen Yin created SPARK-13318:
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Summary: Model export/import for spark.ml: ElementwiseProduct
Key: SPARK-13318
URL: https://issues.apache.org/jira/browse/SPARK-13318
Project: Spark
Issue Type: Su
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Reynold Xin resolved SPARK-13185.
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Resolution: Fixed
Assignee: Carson Wang
Fix Version/s: 2.0.0
> Improve the perfor
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Xiao Li edited comment on SPARK-13307 at 2/14/16 10:49 PM:
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In
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Xiao Li commented on SPARK-13307:
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In the following PR: https://github.com/apache/spark/p
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Xiao Li commented on SPARK-13307:
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Please tune “spark.sql.autoBroadcastJoinThreshold” to
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Xiao Li commented on SPARK-13307:
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1.6.1 is using SortMergeJoin, but 1.4.1 is using Shuff
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Sean Owen commented on SPARK-13313:
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Dumb question, but is this the difference between
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JESSE CHEN commented on SPARK-13307:
Uploaded newly collected plans (logical, analyze
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Petar Zecevic commented on SPARK-13313:
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Yes, you need articles.tsv and links.tsv f
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Ankit Jindal commented on SPARK-12969:
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Hi,
I have tried your code with Java 1.8.0_6
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Josh Rosen reassigned SPARK-13294:
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Assignee: Josh Rosen
> Don't build assembly in dev/run-tests
> ---
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Josh Rosen updated SPARK-13294:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-11157
> Don't build assembly in dev/ru
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Herman van Hovell commented on SPARK-12772:
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I'll have a look.
> Better error
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Christopher Bourez commented on SPARK-13317:
Because installing the notebooks
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Apache Spark commented on SPARK-10759:
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User 'JeremyNixon' has created a pull reques
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Apache Spark reassigned SPARK-10759:
Assignee: Apache Spark (was: Lauren Moos)
> Missing Python code example in ML Programming
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DOAN DuyHai commented on SPARK-13317:
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To complement this JIRA, I would say that the
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 7:02 PM:
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 7:01 PM:
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 7:00 PM:
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 6:59 PM:
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 6:59 PM:
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 6:59 PM:
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Christopher Bourez edited comment on SPARK-13317 at 2/14/16 6:58 PM:
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Christopher Bourez commented on SPARK-13317:
I launch a cluster
./ec2/spark
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Sean Owen commented on SPARK-13317:
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Can you clarify -- are you setting SPARK_LOCAL_IP
Christopher Bourez created SPARK-13317:
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Summary: SPARK_LOCAL_IP does not bind on Slaves
Key: SPARK-13317
URL: https://issues.apache.org/jira/browse/SPARK-13317
Project: Spark
Issue Type
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Xiao Li edited comment on SPARK-13307 at 2/14/16 4:13 PM:
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Could
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Sean Owen updated SPARK-13316:
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Affects Version/s: (was: 2.0.0)
Priority: Minor (was: Major)
OK to updates docs and/o
Jacek Laskowski created SPARK-13316:
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Summary: "SparkException: DStream has not been initialized" when
restoring StreamingContext from checkpoint and the dstream is created afterwards
Key: SPARK-13316
URL: https
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Sean Owen updated SPARK-13309:
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Target Version/s: (was: 1.6.0)
Priority: Minor (was: Major)
Fix Version/s: (wa
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Sean Owen updated SPARK-13314:
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Component/s: SQL
> Malformed WholeStageCodegen tree string
> ---
>
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Sean Owen updated SPARK-12869:
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Flags: (was: Patch)
Target Version/s: (was: 1.6.1)
Priority: Minor (was:
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Fokko Driesprong updated SPARK-12869:
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Flags: Patch
Affects Version/s: 1.6.0
Target Version/s: 1.6.1
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Hossein Vatani closed SPARK-13315.
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I found the solution
NewDf=Df.filter((Df.Col1==A) | (Df.Col2==B))
> multiple columns filtering
> -
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Sean Owen resolved SPARK-13315.
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Resolution: Invalid
Fix Version/s: (was: 1.6.0)
> multiple columns filtering
> ---
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Sean Owen updated SPARK-12363:
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Labels: backport-needed (was: )
Is it realistic to expect another 1.3 or 1.4 release? I am not even su
Hossein Vatani created SPARK-13315:
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Summary: multiple columns filtering
Key: SPARK-13315
URL: https://issues.apache.org/jira/browse/SPARK-13315
Project: Spark
Issue Type: Improvement
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Sean Owen commented on SPARK-13313:
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Can you be more specific? like specific examples f
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Apache Spark commented on SPARK-13314:
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User 'liancheng' has created a pull request
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Cheng Lian reassigned SPARK-13314:
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Assignee: Cheng Lian
> Malformed WholeStageCodegen tree string
> -
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Apache Spark reassigned SPARK-13314:
Assignee: Apache Spark (was: Cheng Lian)
> Malformed WholeStageCodegen tree string
>
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Apache Spark reassigned SPARK-13314:
Assignee: Cheng Lian (was: Apache Spark)
> Malformed WholeStageCodegen tree string
>
Cheng Lian created SPARK-13314:
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Summary: Malformed WholeStageCodegen tree string
Key: SPARK-13314
URL: https://issues.apache.org/jira/browse/SPARK-13314
Project: Spark
Issue Type: Bug
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Sean Owen updated SPARK-13118:
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Target Version/s: 2.0.0 (was: 1.6.1, 2.0.0)
> Support for classes defined in package objects
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Sean Owen updated SPARK-13128:
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Target Version/s: 2.0.0 (was: 1.6.1, 2.0.0)
> API for building arrays / lists encoders
> -
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Sean Owen updated SPARK-12609:
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Target Version/s: (was: 1.6.1, 2.0.0)
> Make R to JVM timeout configurable
> ---
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Sean Owen resolved SPARK-13062.
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Resolution: Won't Fix
... though if someone has a reliable way to fail fast in most or all possible
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Sean Owen updated SPARK-13278:
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Assignee: Claes Redestad
> Launcher fails to start with JDK 9 EA
>
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Sean Owen updated SPARK-13278:
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Priority: Minor (was: Major)
> Launcher fails to start with JDK 9 EA
> ---
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Sean Owen resolved SPARK-13278.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11160
[https://github.co
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Sean Owen resolved SPARK-13300.
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Resolution: Fixed
Fix Version/s: 1.6.1
2.0.0
Issue resolved by pull request
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yuhao yang commented on SPARK-4039:
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https://github.com/hhbyyh/spark/blob/kmeansSparse/m
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yuhao yang edited comment on SPARK-12861 at 2/14/16 9:42 AM:
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yuhao yang commented on SPARK-12861:
https://github.com/hhbyyh/spark/blob/kmeansSpars
Petar Zecevic created SPARK-13313:
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Summary: Strongly connected components doesn't find all strongly
connected components
Key: SPARK-13313
URL: https://issues.apache.org/jira/browse/SPARK-13313
Projec
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https://issues.apache.org/jira/browse/SPARK-13309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-13309:
Description:
Type inference for CSV data does not work as expected when the data is sparse.
For in
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