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Reynold Xin commented on SPARK-15585:
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It would woudln't it? Because the sep argument
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SuYan updated SPARK-15815:
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Comment: was deleted
(was: Got stage-partition blacklist executors, to found weather the task can
run success
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SuYan commented on SPARK-15815:
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Got stage-partition blacklist executors, to found weather
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Reynold Xin commented on SPARK-15816:
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cc [~maropu]
> SQL server based on Postgres p
Reynold Xin created SPARK-15816:
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Summary: SQL server based on Postgres protocol
Key: SPARK-15816
URL: https://issues.apache.org/jira/browse/SPARK-15816
Project: Spark
Issue Type: Improvement
SuYan created SPARK-15815:
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Summary: Hang while enable blacklistExecutor and
DynamicExecutorAllocator
Key: SPARK-15815
URL: https://issues.apache.org/jira/browse/SPARK-15815
Project: Spark
Issue Ty
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Wenchen Fan updated SPARK-15814:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-15631
> Aggregator can return null result
>
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Liang-Chi Hsieh closed SPARK-15701.
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Resolution: Not A Problem
> Constant ColumnVector only needs to prepare one capacity
> --
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Apache Spark commented on SPARK-15814:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-15814:
Assignee: Apache Spark (was: Wenchen Fan)
> Aggregator can return null result
> -
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Apache Spark reassigned SPARK-15814:
Assignee: Wenchen Fan (was: Apache Spark)
> Aggregator can return null result
> -
Wenchen Fan created SPARK-15814:
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Summary: Aggregator can return null result
Key: SPARK-15814
URL: https://issues.apache.org/jira/browse/SPARK-15814
Project: Spark
Issue Type: Bug
Com
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Yanbo Liang commented on SPARK-9623:
[~MechCoder] I'm not working on this, please feel
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holdenk commented on SPARK-15369:
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WIP design document
https://docs.google.com/document/
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Apache Spark commented on SPARK-15813:
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User 'peterableda' has created a pull reques
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Apache Spark reassigned SPARK-15813:
Assignee: (was: Apache Spark)
> Spark Dyn Allocation Cancel log message misleading
> -
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Apache Spark reassigned SPARK-15813:
Assignee: Apache Spark
> Spark Dyn Allocation Cancel log message misleading
>
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Peter Ableda updated SPARK-15813:
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Description:
*Driver requested* message is logged before the *Canceling* message but has the
upd
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Peter Ableda updated SPARK-15813:
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Description:
*Driver requested* message is logged before the *Canceling* message but has the
upd
Peter Ableda created SPARK-15813:
Summary: Spark Dyn Allocation Cancel log message misleading
Key: SPARK-15813
URL: https://issues.apache.org/jira/browse/SPARK-15813
Project: Spark
Issue Type
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Herman van Hovell closed SPARK-15755.
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Resolution: Duplicate
> java.lang.NullPointerException when run spark 2.0 setting
> spar
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marymwu commented on SPARK-15802:
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looking forward to your reply, thanks
> SparkSQL conn
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marymwu commented on SPARK-15802:
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what's the right protocol? how to specify it ?
> Spa
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Marcelo Vanzin reassigned SPARK-14485:
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Assignee: iward
> Task finished cause fetch failure when its executor has already been
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Apache Spark reassigned SPARK-15755:
Assignee: (was: Apache Spark)
> java.lang.NullPointerException when run spark 2.0 sett
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Apache Spark reassigned SPARK-15755:
Assignee: Apache Spark
> java.lang.NullPointerException when run spark 2.0 setting
> spar
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Apache Spark commented on SPARK-15755:
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User 'marymwu' has created a pull request fo
Tathagata Das created SPARK-15812:
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Summary: Allow sorting on aggregated streaming dataframe when the
output mode is Complete
Key: SPARK-15812
URL: https://issues.apache.org/jira/browse/SPARK-15812
Pr
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Tathagata Das resolved SPARK-15517.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Add support for complete output mode
> -
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Jie Huang commented on SPARK-15046:
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OK, I see. Thanks [~tleftwich]. If so, it seems we
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Wenchen Fan updated SPARK-15789:
Assignee: Herman van Hovell
> Allow reserved keywords in most places
>
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Wenchen Fan resolved SPARK-15789.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13534
[https://githu
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Franklyn Dsouza updated SPARK-15811:
Description:
I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following
{co
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Franklyn Dsouza updated SPARK-15811:
Description:
I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following
{co
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Franklyn Dsouza updated SPARK-15811:
Description:
I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following
{c
Franklyn Dsouza created SPARK-15811:
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Summary: UDFs do not work in Spark 2.0-preview built with scala
2.10
Key: SPARK-15811
URL: https://issues.apache.org/jira/browse/SPARK-15811
Project: Spark
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kevin yu commented on SPARK-15804:
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I will submit a PR soon. Thanks.
> Manually added m
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Tathagata Das resolved SPARK-15580.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13335
[https://g
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Marcelo Vanzin resolved SPARK-14485.
Resolution: Fixed
Fix Version/s: 2.0.0
> Task finished cause fetch failure when its
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Xusen Yin commented on SPARK-11106:
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RFormula is easy to use, but it may not always do
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koert kuipers edited comment on SPARK-15780 at 6/7/16 10:34 PM:
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koert kuipers commented on SPARK-15780:
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also see this discussion:
https://mail.goo
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Yanbo Liang reassigned SPARK-14816:
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Assignee: Yanbo Liang
> Update MLlib, GraphX, SparkR websites for 2.0
>
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Yanbo Liang resolved SPARK-13590.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Document the behavior of spark.ml logistic regres
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Yanbo Liang updated SPARK-14816:
Assignee: (was: Yanbo Liang)
> Update MLlib, GraphX, SparkR websites for 2.0
>
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Herman van Hovell resolved SPARK-15674.
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Resolution: Resolved
Assignee: Sean Zhong
> Deprecates "CREATE TEMPORARY TABLE
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koert kuipers updated SPARK-15810:
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Description:
{noformat}
val ds1 = List(("a", 1), ("a", 2), ("a", 3)).toDS
val ds2 =
koert kuipers created SPARK-15810:
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Summary: Aggregator doesn't play nice with Option
Key: SPARK-15810
URL: https://issues.apache.org/jira/browse/SPARK-15810
Project: Spark
Issue Type: Bug
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Manoj Kumar commented on SPARK-9623:
[~yanboliang] Are you still working on this? Woul
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Marcelo Vanzin updated SPARK-14279:
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Fix Version/s: (was: 2.1.0)
2.0.0
> Improve the spark build to pick th
Vladimir Feinberg created SPARK-15809:
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Summary: PySpark SQL UDF default returnType
Key: SPARK-15809
URL: https://issues.apache.org/jira/browse/SPARK-15809
Project: Spark
Issue Type: Impr
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Apache Spark reassigned SPARK-15808:
Assignee: Apache Spark
> Wrong Results or Strange Errors In Append-mode DataFrame Writing
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Apache Spark commented on SPARK-15808:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-15808:
Assignee: (was: Apache Spark)
> Wrong Results or Strange Errors In Append-mode DataFra
Xiao Li created SPARK-15808:
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Summary: Wrong Results or Strange Errors In Append-mode DataFrame
Writing Due to Mismatched File Formats
Key: SPARK-15808
URL: https://issues.apache.org/jira/browse/SPARK-15808
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Xiao Li updated SPARK-15808:
Description:
Example 1: PARQUET -> CSV
{noformat}
createDF(0, 9).write.format("parquet").saveAsTable("appe
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Xiao Li updated SPARK-15808:
Description:
Example 1: PARQUET -> CSV
{noformat}
createDF(0, 9).write.format("parquet").saveAsTable("appe
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Charlie Evans updated SPARK-15804:
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Description:
Adding metadata with col().as(_, metadata) then saving the resultant dataframe
do
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Gayathri Murali commented on SPARK-15785:
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I will work on this. Thanks!
> Add in
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Apache Spark reassigned SPARK-15807:
Assignee: Apache Spark
> Support varargs for distinct/dropDuplicates in Dataset/DataFrame
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Apache Spark reassigned SPARK-15807:
Assignee: (was: Apache Spark)
> Support varargs for distinct/dropDuplicates in Dataset
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Apache Spark commented on SPARK-15807:
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User 'dongjoon-hyun' has created a pull requ
Dongjoon Hyun created SPARK-15807:
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Summary: Support varargs for distinct/dropDuplicates in
Dataset/DataFrame
Key: SPARK-15807
URL: https://issues.apache.org/jira/browse/SPARK-15807
Project: Spark
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Takeshi Yamamuro commented on SPARK-15804:
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`MetadataBuilder` is one of develope
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Marcelo Vanzin resolved SPARK-15760.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.0.0
> Documenta
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Shivaram Venkataraman resolved SPARK-15684.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-15684:
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Assignee: Miao Wang
> Not mask startsWith and endsWith in R
> -
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Shivaram Venkataraman commented on SPARK-15799:
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I dont think there are any
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Apache Spark reassigned SPARK-15805:
Assignee: (was: Apache Spark)
> update the whole sql programming guide
> -
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Apache Spark commented on SPARK-15805:
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User 'WeichenXu123' has created a pull reque
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Apache Spark reassigned SPARK-15805:
Assignee: Apache Spark
> update the whole sql programming guide
>
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Apache Spark reassigned SPARK-15806:
Assignee: (was: Apache Spark)
> Update doc for SPARK_MASTER_IP
> -
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Apache Spark commented on SPARK-15806:
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User 'bomeng' has created a pull request for
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Apache Spark reassigned SPARK-15806:
Assignee: Apache Spark
> Update doc for SPARK_MASTER_IP
> --
>
Bo Meng created SPARK-15806:
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Summary: Update doc for SPARK_MASTER_IP
Key: SPARK-15806
URL: https://issues.apache.org/jira/browse/SPARK-15806
Project: Spark
Issue Type: Bug
Components: Do
Weichen Xu created SPARK-15805:
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Summary: update the whole sql programming guide
Key: SPARK-15805
URL: https://issues.apache.org/jira/browse/SPARK-15805
Project: Spark
Issue Type: Improvement
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Marcelo Vanzin commented on SPARK-15801:
I'm not really sure of how standalone wo
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Marcelo Vanzin commented on SPARK-15652:
I'm a little worried about that because
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Bo Meng commented on SPARK-15755:
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Could you provide a test case to reproduce the issue?
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Subroto Sanyal commented on SPARK-15652:
hi [~vanzin]
Can this be merged to 1.6 b
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Apache Spark reassigned SPARK-15730:
Assignee: (was: Apache Spark)
> [Spark SQL] the value of 'hiveconf' parameter in Spark
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Cheng Hao commented on SPARK-15730:
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[~jameszhouyi], can you please verify this fixing?
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Apache Spark commented on SPARK-15730:
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User 'chenghao-intel' has created a pull req
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Apache Spark reassigned SPARK-15730:
Assignee: Apache Spark
> [Spark SQL] the value of 'hiveconf' parameter in Spark-sql CLI do
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Sean Owen resolved SPARK-13570.
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Resolution: Incomplete
> pyspark save with partitionBy is very slow
> ---
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Sean Owen commented on SPARK-15796:
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I'm not sure what you mean about storing RDDs that
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Gabor Feher edited comment on SPARK-15796 at 6/7/16 2:15 PM:
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Gabor Feher commented on SPARK-15796:
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MEMORY_ONLY caching works in a way that when a
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Sean Owen commented on SPARK-15796:
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To leave a little extra room and to match the old
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Daniel Darabos commented on SPARK-15796:
> The only argument against it was that
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Sean Owen commented on SPARK-15564:
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On further review, I don't see how there's a null
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Sean Owen commented on SPARK-15796:
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Yeah, sounds like we should change the default min
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Pete Robbins commented on SPARK-15065:
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I think this may be related to
https://issu
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Daniel Darabos commented on SPARK-15796:
The example program takes less than a mi
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https://issues.apache.org/jira/browse/SPARK-15787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-15787.
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Resolution: Duplicate
Fix Version/s: (was: 1.2.1)
Please comment on the other JIRA with de
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https://issues.apache.org/jira/browse/SPARK-15801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15318447#comment-15318447
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Jonathan Taws commented on SPARK-15801:
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Indeed, I am getting the same behavior. Af
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Alexandre Linte commented on SPARK-15779:
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Thank you for your reply Zhang,
You'r
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Sean Owen commented on SPARK-15781:
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Yeah, I'd love for someone who really knows standa
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https://issues.apache.org/jira/browse/SPARK-15792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-15792:
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Assignee: Sean Zhong
> [SQL] Allows operator to change the verbosity in explain output.
> -
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Jonathan Taws edited comment on SPARK-15781 at 6/7/16 1:00 PM:
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