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Reynold Xin commented on SPARK-10474:
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Ah ic. It is possible that the # core estimation is completely
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Rick Hillegas commented on SPARK-10855:
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I intend to create a pull request for this soon after
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Reynold Xin resolved SPARK-10770.
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Resolution: Fixed
Fix Version/s: 1.6.0
> SparkPlan.executeCollect/executeTake should
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Andrew Or updated SPARK-10851:
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Assignee: Sun Rui
> Exception not failing R applications (in yarn cluster mode)
>
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Andrew Or resolved SPARK-10851.
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Resolution: Fixed
Fix Version/s: 1.6.0
Target Version/s: 1.6.0
> Exception not
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Xin Ren commented on SPARK-9344:
first time try, is it ok I work on this one?
Thanks a lot. :P
> Spark
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Suresh Thalamati commented on SPARK-10857:
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One issue I ran into with getSchema() call was even
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Reynold Xin closed SPARK-3862.
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Resolution: Won't Fix
Closing this one for now since I think we can do something better with codegen
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Reynold Xin commented on SPARK-3862:
David,
Thanks. Let's chat there. Since I created the ticket, I
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Apache Spark commented on SPARK-10515:
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User 'KaiXinXiaoLei' has created a pull request for this
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Xiangrui Meng resolved SPARK-10736.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8937
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Apache Spark commented on SPARK-10800:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-10869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Julien Genini updated SPARK-10869:
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Target Version/s: (was: 1.5.1)
> Auto-normalization of semi-structured schema from a
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Apache Spark commented on SPARK-6028:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-10687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14936544#comment-14936544
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Yanbo Liang commented on SPARK-10687:
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[~mengxr] Due to the Cox’s Proportional Hazard model is not
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Xiangrui Meng updated SPARK-10736:
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Assignee: Yanbo Liang
> Use 1 for all ratings if $(ratingCol) = ""
>
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Cheng Lian resolved SPARK-10811.
Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8907
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Hiroshi Takahashi commented on SPARK-10268:
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[~mengxr] Could you take a look?
> Add @Since
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Apache Spark reassigned SPARK-10886:
Assignee: (was: Apache Spark)
> Random RDD creation example fix in MLlib statistics
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Xin Ren commented on SPARK-9344:
Hi I'll try to fix the docs, to get a sense how the commit process works,
Yin Huai created SPARK-10887:
Summary: Build HashRelation outside of HashJoinNode
Key: SPARK-10887
URL: https://issues.apache.org/jira/browse/SPARK-10887
Project: Spark
Issue Type: Sub-task
Narine Kokhlikyan created SPARK-10888:
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Summary: Add as.DataFrame as a synonym for createDataFrame
Key: SPARK-10888
URL: https://issues.apache.org/jira/browse/SPARK-10888
Project: Spark
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Xin Ren commented on SPARK-10669:
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may I have a try on this one?
Thanks a lot
> Link to each language's
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Apache Spark reassigned SPARK-10886:
Assignee: Apache Spark
> Random RDD creation example fix in MLlib statistics programming
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Apache Spark commented on SPARK-10886:
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User 'jayantshekhar' has created a pull request for this
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Yin Huai reassigned SPARK-10665:
Assignee: Yin Huai
> Connect the local iterators with the planner
>
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Simeon Simeonov commented on SPARK-9344:
/cc [~joshrosen] [~andrewor14]
> Spark SQL documentation
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Simeon Simeonov commented on SPARK-9344:
[~joshrosen] when I logged the bug I was using
Jayant Shekhar created SPARK-10886:
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Summary: Random RDD creation example fix in MLlib statistics
programming guide - mllib-statistics.md
Key: SPARK-10886
URL: https://issues.apache.org/jira/browse/SPARK-10886
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Simeon Simeonov commented on SPARK-9344:
Are you suggesting to fix the docs or the code?
> Spark
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Josh Rosen commented on SPARK-9344:
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[~simeons], I just grepped through Spark's code base looking for
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Josh Rosen commented on SPARK-9344:
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[~simeons], are you using HiveContext or SQLContext? If Spark
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Jayant Shekhar commented on SPARK-10886:
Am in the process of PR for it.
> Random RDD creation
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Jayant Shekhar edited comment on SPARK-10886 at 9/30/15 8:27 PM:
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Am in
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Simeon Simeonov commented on SPARK-9344:
[~joshrosen] Here is the reproducible test case you can
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Hiroshi Takahashi commented on SPARK-10263:
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[~mengxr] Could you take a look?
> Add @Since
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Apache Spark reassigned SPARK-7869:
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Assignee: (was: Apache Spark)
> Spark Data Frame Fails to Load Postgres Tables with
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Apache Spark reassigned SPARK-7869:
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Assignee: Apache Spark
> Spark Data Frame Fails to Load Postgres Tables with JSONB DataType
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Apache Spark commented on SPARK-7869:
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User '0x0FFF' has created a pull request for this issue:
Jean-Baptiste Onofré created SPARK-10880:
Summary: Hive module build test failed
Key: SPARK-10880
URL: https://issues.apache.org/jira/browse/SPARK-10880
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-9776:
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User 'KaiXinXiaoLei' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-10881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Moravek updated SPARK-10881:
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Description:
In CoarseGrainedExecutorBackend, log4j is initialized, before userclasspath
gets
David Moravek created SPARK-10881:
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Summary: Unable to use custom log4j appender in spark executor
Key: SPARK-10881
URL: https://issues.apache.org/jira/browse/SPARK-10881
Project: Spark
Alexandre Touret created SPARK-10882:
Summary: Add the ability to connect to secured mqtt brokers
Key: SPARK-10882
URL: https://issues.apache.org/jira/browse/SPARK-10882
Project: Spark
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Alexey Grishchenko commented on SPARK-10865:
I don't really think that _floor()_ and
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Marcelo Vanzin commented on SPARK-10879:
Is this related to YARN-1963? It's nice to reference the
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Apache Spark reassigned SPARK-10887:
Assignee: Apache Spark (was: Yin Huai)
> Build HashedRelation outside of HashJoinNode
>
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Apache Spark commented on SPARK-10887:
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User 'yhuai' has created a pull request for this issue:
Burak Yavuz created SPARK-10891:
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Summary: Add MessageHandler to KinesisUtils.createStream similar
to Direct Kafka
Key: SPARK-10891
URL: https://issues.apache.org/jira/browse/SPARK-10891
Project: Spark
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Bryan Cutler commented on SPARK-10560:
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Hi [~yanboliang], I'd be happy to do this unless you have
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Apache Spark reassigned SPARK-10888:
Assignee: (was: Apache Spark)
> Add as.DataFrame as a synonym for createDataFrame
>
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Apache Spark commented on SPARK-10888:
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User 'NarineK' has created a pull request for this issue:
Avrohom Katz created SPARK-10889:
Summary: Upgrade Kinesis Client Library
Key: SPARK-10889
URL: https://issues.apache.org/jira/browse/SPARK-10889
Project: Spark
Issue Type: Improvement
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Yin Huai resolved SPARK-9617.
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Resolution: Fixed
Assignee: Nathan Howell
Fix Version/s: 1.6.0
This issue has been
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Yin Huai reassigned SPARK-10887:
Assignee: Yin Huai
> Build HashedRelation outside of HashJoinNode
>
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Apache Spark reassigned SPARK-10887:
Assignee: Yin Huai (was: Apache Spark)
> Build HashedRelation outside of HashJoinNode
>
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Jonathan Kelly commented on SPARK-10790:
Thank you for the explanation and for such a quick fix,
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Ofer Mendelevitch updated SPARK-10892:
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Attachment: data.json
Data file to run with the code, for reproducing.
> Join with
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Yin Huai updated SPARK-10887:
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Summary: Build HashedRelation outside of HashJoinNode (was: Build
HashRelation outside of HashJoinNode)
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Apache Spark reassigned SPARK-10888:
Assignee: Apache Spark
> Add as.DataFrame as a synonym for createDataFrame
>
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Ted Yu updated SPARK-10561:
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Description:
Here is the discussion thread:
http://search-hadoop.com/m/q3RTtcD20F1o62xE
Richard Hillegas
Rick Hillegas created SPARK-10890:
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Summary: "Column count does not match; SQL statement:" error in
JDBCWriteSuite
Key: SPARK-10890
URL: https://issues.apache.org/jira/browse/SPARK-10890
Project:
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Burak Yavuz commented on SPARK-10889:
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In addition, KCL 1.4.0 supports de-aggregation of records.
>
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Yin Huai updated SPARK-10337:
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Assignee: Wenchen Fan
> Views are broken
>
>
> Key: SPARK-10337
>
Ofer Mendelevitch created SPARK-10892:
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Summary: Join with Data Frame returns wrong results
Key: SPARK-10892
URL: https://issues.apache.org/jira/browse/SPARK-10892
Project: Spark
Issue
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Josh Rosen commented on SPARK-9344:
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I think this is the relevant part of the stacktrace:
{code}
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
Jo Desmet created SPARK-10893:
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Summary: Lag Analytic function broken
Key: SPARK-10893
URL: https://issues.apache.org/jira/browse/SPARK-10893
Project: Spark
Issue Type: Bug
Components:
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Shivaram Venkataraman resolved SPARK-10807.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-10807:
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Assignee: Oscar D. Lara Yejas
> Add as.data.frame() as a synonym for collect()
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Jo Desmet updated SPARK-10893:
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Description:
Trying to aggregate with the LAG Analytic function gives the wrong result. In
my
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Weiqiang Zhuang commented on SPARK-10894:
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I am working on this.
> Add 'drop' support for
Weiqiang Zhuang created SPARK-10894:
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Summary: Add 'drop' support for DataFrame's subset function
Key: SPARK-10894
URL: https://issues.apache.org/jira/browse/SPARK-10894
Project: Spark
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Apache Spark reassigned SPARK-10891:
Assignee: Apache Spark
> Add MessageHandler to KinesisUtils.createStream similar to
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Apache Spark commented on SPARK-10891:
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User 'brkyvz' has created a pull request for this issue:
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Apache Spark reassigned SPARK-10891:
Assignee: (was: Apache Spark)
> Add MessageHandler to KinesisUtils.createStream
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https://issues.apache.org/jira/browse/SPARK-5569?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14939353#comment-14939353
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Deming Zhu commented on SPARK-5569:
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I encount the exactly same problem with you, and I think it's an
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Cody Koeninger commented on SPARK-9472:
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You can get around this by passing in the hadoop context
Jean-Baptiste Onofré created SPARK-10883:
Summary: Be able to build each module individually
Key: SPARK-10883
URL: https://issues.apache.org/jira/browse/SPARK-10883
Project: Spark
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Apache Spark commented on SPARK-10884:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-10883?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14936898#comment-14936898
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Apache Spark commented on SPARK-10883:
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User 'jbonofre' has created a pull request for this issue:
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Apache Spark reassigned SPARK-10883:
Assignee: Apache Spark
> Be able to build each module individually
>
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Marcelo Vanzin commented on SPARK-10883:
How are you trying to build the individual module?
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https://issues.apache.org/jira/browse/SPARK-10413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14936947#comment-14936947
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Yanbo Liang commented on SPARK-10413:
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[~mengxr] [~josephkb]
I found this issue involved too many
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Apache Spark reassigned SPARK-10884:
Assignee: (was: Apache Spark)
> Support prediction on single instance for
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Apache Spark reassigned SPARK-10884:
Assignee: Apache Spark
> Support prediction on single instance for PredictionModel and
>
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Apache Spark reassigned SPARK-10883:
Assignee: (was: Apache Spark)
> Be able to build each module individually
>
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Jean-Baptiste Onofré commented on SPARK-10883:
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https://github.com/apache/spark/pull/8949
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Jean-Baptiste Onofré updated SPARK-10883:
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Comment: was deleted
(was: https://github.com/apache/spark/pull/8949)
> Be able
Yanbo Liang created SPARK-10884:
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Summary: Support prediction on single instance for PredictionModel
and ClassificationModel
Key: SPARK-10884
URL: https://issues.apache.org/jira/browse/SPARK-10884
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Yanbo Liang updated SPARK-10884:
Description:
Support prediction on single instance for regression and classification related
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https://issues.apache.org/jira/browse/SPARK-10058?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14937473#comment-14937473
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Apache Spark commented on SPARK-10058:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-10058:
Assignee: Apache Spark (was: Shixiong Zhu)
> Flaky test: HeartbeatReceiverSuite: normal
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https://issues.apache.org/jira/browse/SPARK-9472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14937471#comment-14937471
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Russell Alexander Spitzer commented on SPARK-9472:
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Yeah that's the workaround we
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