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holdenk commented on SPARK-16777:
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That's a good point, thanks for the comment/note :) I
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Miao Wang commented on SPARK-16578:
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[~shivaram] It seems interesting. I can help inves
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Xiao Li commented on SPARK-16789:
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Let me take a look at this.
> Can't run saveAsTable w
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Hyukjin Kwon edited comment on SPARK-16777 at 7/29/16 6:29 AM:
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Hyukjin Kwon commented on SPARK-16776:
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Please let me leave the logs here just in ca
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Hyukjin Kwon commented on SPARK-16777:
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Please let me leave a note because I actuall
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Apache Spark commented on SPARK-16774:
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User 'holdenk' has created a pull request fo
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Apache Spark reassigned SPARK-16774:
Assignee: Apache Spark
> Fix use of deprecated TimeStamp constructor (also providing incor
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Apache Spark reassigned SPARK-16774:
Assignee: (was: Apache Spark)
> Fix use of deprecated TimeStamp constructor (also prov
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Apache Spark reassigned SPARK-16771:
Assignee: (was: Apache Spark)
> Infinite recursion loop in org.apache.spark.sql.cataly
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Apache Spark commented on SPARK-16771:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-16771:
Assignee: Apache Spark
> Infinite recursion loop in org.apache.spark.sql.catalyst.trees.Tr
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Apache Spark reassigned SPARK-16787:
Assignee: Apache Spark (was: Josh Rosen)
> SparkContext.addFile() should not fail if call
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Apache Spark commented on SPARK-16787:
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User 'JoshRosen' has created a pull request
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Apache Spark reassigned SPARK-16787:
Assignee: Josh Rosen (was: Apache Spark)
> SparkContext.addFile() should not fail if call
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Dongjoon Hyun commented on SPARK-16771:
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Hi, [~fpin]. You're right. I can regenerat
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Tejas Patil commented on SPARK-15694:
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I spent some time over last weekend working on
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Hyukjin Kwon commented on SPARK-16646:
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Sure, I will close the PR for meanwhile. The
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holdenk commented on SPARK-16788:
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cc [~davies] [~ckadner] :)
> Investigate JSR-310 & sc
SonixLegend created SPARK-16789:
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Summary: Can't run saveAsTable with database name
Key: SPARK-16789
URL: https://issues.apache.org/jira/browse/SPARK-16789
Project: Spark
Issue Type: Bug
holdenk created SPARK-16788:
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Summary: Investigate JSR-310 & scala-time alternatives to our own
datetime utils
Key: SPARK-16788
URL: https://issues.apache.org/jira/browse/SPARK-16788
Project: Spark
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Hongyao Zhao commented on SPARK-16746:
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I did some test yesterday, It seems that sp
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Apache Spark commented on SPARK-16748:
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User 'tdas' has created a pull request for t
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Apache Spark reassigned SPARK-16748:
Assignee: Tathagata Das (was: Apache Spark)
> Errors thrown by UDFs cause TreeNodeExcepti
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Apache Spark reassigned SPARK-16748:
Assignee: Apache Spark (was: Tathagata Das)
> Errors thrown by UDFs cause TreeNodeExcepti
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Colin Beckingham edited comment on SPARK-16768 at 7/29/16 2:08 AM:
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Wenchen Fan commented on SPARK-16646:
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We are discussing this internally, can you hol
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Colin Beckingham commented on SPARK-16768:
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This is very strange then. I can lau
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Jordan Beauchamp commented on SPARK-16786:
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topicDistribution has been implement
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Jordan Beauchamp commented on SPARK-16786:
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One minor difficulty is that downstr
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Apache Spark reassigned SPARK-16786:
Assignee: Apache Spark
> LDA topic distributions for new documents in PySpark
> --
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Apache Spark reassigned SPARK-16786:
Assignee: (was: Apache Spark)
> LDA topic distributions for new documents in PySpark
>
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Apache Spark commented on SPARK-16786:
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User 'supremekai' has created a pull request
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Reynold Xin commented on SPARK-16753:
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Got it - definitely good to do skew join. Ther
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Tathagata Das reassigned SPARK-16748:
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Assignee: Tathagata Das
> Errors thrown by UDFs cause TreeNodeException when the query h
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Josh Rosen updated SPARK-16787:
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Target Version/s: 2.0.1 (was: 1.6.3, 2.0.1)
> SparkContext.addFile() should not fail if called twice
Josh Rosen created SPARK-16787:
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Summary: SparkContext.addFile() should not fail if called twice
with the same file
Key: SPARK-16787
URL: https://issues.apache.org/jira/browse/SPARK-16787
Project: Spark
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holdenk edited comment on SPARK-16774 at 7/28/16 11:38 PM:
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Whi
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holdenk updated SPARK-16774:
Description: The TimeStamp constructor we use inside of DateTime utils has
been deprecated since JDK 1.1 -
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holdenk updated SPARK-16774:
Description: The TimeStamp constructor we use inside of DateTime utils has
been deprecated since JDK 1.1 -
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holdenk updated SPARK-16774:
Summary: Fix use of deprecated TimeStamp constructor (also providing
incorrect results) (was: Fix use of d
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holdenk commented on SPARK-16774:
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While diving into this (relatedly I hate timezones) -
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Sean Owen commented on SPARK-16768:
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That's spark.ml.LogisticRegression, right? there's
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Clark Fitzgerald commented on SPARK-16785:
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To fix this I propose to treat the r
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Clark Fitzgerald edited comment on SPARK-16785 at 7/28/16 10:51 PM:
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Clark Fitzgerald commented on SPARK-16611:
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+1 for more direct access to the RDD
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Jordan Beauchamp updated SPARK-16786:
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Target Version/s: (was: 2.0.0)
> LDA topic distributions for new documents in PySpark
>
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Jordan Beauchamp updated SPARK-16786:
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Fix Version/s: (was: 2.0.0)
> LDA topic distributions for new documents in PySpark
>
Jordan Beauchamp created SPARK-16786:
Summary: LDA topic distributions for new documents in PySpark
Key: SPARK-16786
URL: https://issues.apache.org/jira/browse/SPARK-16786
Project: Spark
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Clark Fitzgerald updated SPARK-16785:
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Priority: Minor (was: Major)
> dapply doesn't return array or raw columns
>
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Clark Fitzgerald commented on SPARK-16785:
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[~shivaram] and I have had some emai
Clark Fitzgerald created SPARK-16785:
Summary: dapply doesn't return array or raw columns
Key: SPARK-16785
URL: https://issues.apache.org/jira/browse/SPARK-16785
Project: Spark
Issue Type
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Denis Serduik commented on SPARK-2984:
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Something like this...
The problem occurs whe
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Michael Gummelt closed SPARK-16783.
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Resolution: Not A Problem
> make-distri
> ---
>
> Key: SPARK-16783
>
Michael Gummelt created SPARK-16784:
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Summary: Configurable log4j settings
Key: SPARK-16784
URL: https://issues.apache.org/jira/browse/SPARK-16784
Project: Spark
Issue Type: Improvement
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Reynold Xin resolved SPARK-16772.
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Resolution: Fixed
Assignee: Nicholas Chammas
Fix Version/s: 2.1.0
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Sean Owen updated SPARK-16769:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Question)
I think the issue is that
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Sean Owen commented on SPARK-16745:
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I suspect this is a duplicate of one of the many i
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Nicholas Chammas commented on SPARK-12157:
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I'm looking to define a UDF in PySpa
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Reynold Xin commented on SPARK-6305:
Thanks, Mikael. Would love to get some help here.
Michael Gummelt created SPARK-16783:
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Summary: make-distri
Key: SPARK-16783
URL: https://issues.apache.org/jira/browse/SPARK-16783
Project: Spark
Issue Type: Bug
Reporter: Micha
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Joseph K. Bradley commented on SPARK-16365:
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This JIRA is covering multiple pot
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Sean Owen commented on SPARK-16780:
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There is also an "0.8" artifact, which is likely w
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Keith Kraus commented on SPARK-16334:
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[~sameerag] I have just built branch-2.0 which
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Reynold Xin resolved SPARK-16764.
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Resolution: Fixed
Assignee: Sameer Agarwal
Fix Version/s: 2.1.0
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Andrew B commented on SPARK-16780:
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How are the new artifacts used with the example belo
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Sean Owen resolved SPARK-16762.
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Resolution: Invalid
Yeah, too many possible things wrong; it should be narrowed down separately
firs
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Sean Owen commented on SPARK-16770:
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Sure, if you would please open a pull request to u
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Sean Owen commented on SPARK-16774:
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Yeah I remember this one. Seems like it would take
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Nicholas Chammas commented on SPARK-16782:
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[~davies] [~joshrosen] - I can take
Nicholas Chammas created SPARK-16782:
Summary: Use Sphinx autodoc to eliminate duplication of Python
docstrings
Key: SPARK-16782
URL: https://issues.apache.org/jira/browse/SPARK-16782
Project: Spa
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Sean Owen resolved SPARK-16780.
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Resolution: Not A Problem
These have become artifacts like spark-streaming-kafka-0-10_2.10 in 2.0.0
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Adam Roberts commented on SPARK-16769:
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Thanks, looking on Maven central I see the l
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Bryan Cutler commented on SPARK-16765:
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Was there some specific use of Pipelines wit
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holdenk edited comment on SPARK-16779 at 7/28/16 6:36 PM:
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I'm s
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holdenk commented on SPARK-16779:
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I'm sort of on the fence with fixing as well - but we
Michael Berman created SPARK-16781:
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Summary: java launched by PySpark as gateway may not be the same
java used in the spark environment
Key: SPARK-16781
URL: https://issues.apache.org/jira/browse/SPARK-16781
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Sean Owen commented on SPARK-16779:
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Yeah I tend to agree with fixing this up, because
Andrew B created SPARK-16780:
Summary: spark-streaming-kafka_2.10 version 2.0.0 not on maven
central
Key: SPARK-16780
URL: https://issues.apache.org/jira/browse/SPARK-16780
Project: Spark
Issue
holdenk created SPARK-16779:
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Summary: Fix unnecessary use of postfix operations
Key: SPARK-16779
URL: https://issues.apache.org/jira/browse/SPARK-16779
Project: Spark
Issue Type: Sub-task
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holdenk updated SPARK-16773:
Summary: Post Spark 2.0 deprecation & warnings cleanup (was: Post Spark
2.0 deprecation cleanup)
> Post S
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Sean Owen commented on SPARK-16769:
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I'm pretty certain it's there only because some de
holdenk created SPARK-16778:
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Summary: Fix use of deprecated SQLContext constructor
Key: SPARK-16778
URL: https://issues.apache.org/jira/browse/SPARK-16778
Project: Spark
Issue Type: Sub-task
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holdenk updated SPARK-16775:
Component/s: SQL
> Reduce internal warnings from deprecated accumulator API
> -
holdenk created SPARK-16777:
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Summary: Parquet schema converter depends on deprecated APIs
Key: SPARK-16777
URL: https://issues.apache.org/jira/browse/SPARK-16777
Project: Spark
Issue Type: Sub-tas
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holdenk updated SPARK-16775:
Component/s: (was: ML)
(was: SQL)
(was: MLlib)
> Reduce inter
holdenk created SPARK-16776:
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Summary: Fix Kafka deprecation warnings
Key: SPARK-16776
URL: https://issues.apache.org/jira/browse/SPARK-16776
Project: Spark
Issue Type: Sub-task
Component
holdenk created SPARK-16775:
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Summary: Reduce internal warnings from deprecated accumulator API
Key: SPARK-16775
URL: https://issues.apache.org/jira/browse/SPARK-16775
Project: Spark
Issue Type: Su
holdenk created SPARK-16774:
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Summary: Fix use of deprecated TimeStamp constructor
Key: SPARK-16774
URL: https://issues.apache.org/jira/browse/SPARK-16774
Project: Spark
Issue Type: Sub-task
holdenk created SPARK-16773:
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Summary: Post Spark 2.0 deprecation cleanup
Key: SPARK-16773
URL: https://issues.apache.org/jira/browse/SPARK-16773
Project: Spark
Issue Type: Improvement
Co
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Adam Roberts commented on SPARK-16769:
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[~rxin] [~srowen] Reynold and Sean, interest
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Furcy Pin commented on SPARK-11248:
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+1
I'm trying on spark 2.0.0, and I've configured
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Sean Owen commented on SPARK-16751:
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Yeah, I see from the PR that it's actually package
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Sean Owen resolved SPARK-16763.
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Resolution: Invalid
I'm going to close this because it's a question for the user@ list. However I
do
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Nicholas Chammas updated SPARK-16772:
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Summary: Correct API doc references to PySpark classes + formatting fixes
(was: Correct
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Nicholas Chammas updated SPARK-16772:
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Summary: Correct API doc references to PySpark classes (was: Correct API
doc references
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Shivaram Venkataraman commented on SPARK-16611:
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1. lapply: From an API per
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Reynold Xin resolved SPARK-16740.
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Resolution: Fixed
Assignee: Sylvain Zimmer
Fix Version/s: 2.1.0
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Apache Spark reassigned SPARK-16772:
Assignee: (was: Apache Spark)
> Correct API doc references to DataType + other minor d
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Apache Spark commented on SPARK-16772:
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User 'nchammas' has created a pull request f
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