I think you can have one notebook for setup - calling the source and sink as
you have below; then another notebook to run the %sql to read from memory temp
view and output to a visualization.
This way you could have the 2nd notebook be a dashboard and run (i.e. refresh
automatically) on a sched
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Felix Cheung updated SPARK-18825:
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There might be some delicacy here since this might need to work without an
external script when we
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Felix Cheung commented on SPARK-18825:
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handling a fork of knitr might be too
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Felix Cheung commented on SPARK-18825:
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I see about dontrun - yes, I don't
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Felix Cheung updated SPARK-20727:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-15799
> Skip SparkR tests when miss
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Felix Cheung commented on SPARK-20815:
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make sense to me. would you lik
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Felix Cheung commented on SPARK-18825:
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interesting - do you think knitr can
I can try to help.
_
From: Wes McKinney
Sent: Monday, May 15, 2017 12:49 PM
Subject: Re: Improve SparkR collect performance with Arrow
To: Dirk Eddelbuettel , , Jim
Hester , Hadley Wickham , Kevin
Ushey
Adding Hadley and others to the conversation to advise on th
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Felix Cheung updated SPARK-19568:
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Certainly - we recognize the problem with SparkR not published in CRAN and have
been actively
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Felix Cheung resolved SPARK-20726.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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Felix Cheung edited comment on SPARK-19568 at 5/14/17 7:3
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Felix Cheung commented on SPARK-19568:
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.. based on that, I might just resolve
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Felix Cheung commented on SPARK-19568:
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I checked the Rd files are generated
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Felix Cheung resolved SPARK-20704.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 2.3.0
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Felix Cheung resolved SPARK-20619.
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Resolution: Fixed
Assignee: Wayne Zhang
Fix Version/s: 2.3.0
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Felix Cheung commented on SPARK-20512:
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I did a QA pass on the R vigne
Felix Cheung created SPARK-20704:
Summary: CRAN test should run single threaded
Key: SPARK-20704
URL: https://issues.apache.org/jira/browse/SPARK-20704
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-20590:
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When the user explicitly specifies
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only,-> seems like in ot
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Felix Cheung resolved SPARK-20670.
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Resolution: Fixed
Assignee: yuhao yang
Fix Version/s: 2.3.0
Target
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Felix Cheung updated SPARK-20689:
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Description:
When trying to address build test failure in SPARK-20661 we discovered some
tables
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Felix Cheung updated SPARK-20689:
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Description:
When trying to address build test failure in SPARK-20661 we discovered some
tables
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Felix Cheung updated SPARK-20689:
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Description:
When trying to address build test failure in SPARK-20661 we discovered some
tables
Felix Cheung created SPARK-20689:
Summary: python doctest leaking bucketed table
Key: SPARK-20689
URL: https://issues.apache.org/jira/browse/SPARK-20689
Project: Spark
Issue Type: Bug
I think you can put backticks around the name date
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL
From: Jongyoul Lee
Sent: Tuesday, May 9, 2017 10:33:50 AM
To: users@zeppelin.apache.org
Subject: Re: Hive Reserve Keyword support
If it's possi
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Felix Cheung updated SPARK-20666:
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Summary: Flaky test - SparkListenerBus randomly failing on Windows (was:
Flaky test - random ml
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Felix Cheung updated SPARK-20666:
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Summary: Flaky test - SparkListenerBus randomly failing
java.lang.IllegalAccessError on Windows
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only, always only when
running
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Felix Cheung updated SPARK-20666:
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Component/s: Spark Core
> Flaky test - SparkListenerBus randomly failing on Wind
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only
{code}
Exception in
Felix Cheung created SPARK-20666:
Summary: Flaky test - random ml test failure on Windows
Key: SPARK-20666
URL: https://issues.apache.org/jira/browse/SPARK-20666
Project: Spark
Issue Type
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only
{code
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Felix Cheung resolved SPARK-20550.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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Felix Cheung resolved SPARK-20626.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 2.3.0
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Felix Cheung updated SPARK-20626:
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Summary: Fix SparkR test warning on Windows with timestamp time zone (was:
Fix SparkR test on
Felix Cheung created SPARK-20626:
Summary: Fix SparkR test on Windows with timestamp time zone
Key: SPARK-20626
URL: https://issues.apache.org/jira/browse/SPARK-20626
Project: Spark
Issue
Felix Cheung created SPARK-20625:
Summary: SQL test running on Windows hadoop command warning
Key: SPARK-20625
URL: https://issues.apache.org/jira/browse/SPARK-20625
Project: Spark
Issue
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Felix Cheung resolved SPARK-20614.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.3.0
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Felix Cheung commented on SPARK-20520:
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waiting for the next RC to try with fix
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Felix Cheung commented on SPARK-20613:
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[~shivaram]could you add jarretmeye
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Felix Cheung resolved SPARK-20613.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
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Felix Cheung resolved SPARK-20257.
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Resolution: Not A Problem
Assignee: Felix Cheung
We have disabled this test on CRAN, so
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Felix Cheung resolved SPARK-20015.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
Target
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Felix Cheung resolved SPARK-20571.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
Target
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Felix Cheung commented on SPARK-20571:
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done.
will monitor tests for a coupl
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Felix Cheung resolved SPARK-20544.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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Felix Cheung resolved SPARK-20585.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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Felix Cheung commented on SPARK-20520:
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should try again after SPARK-20571
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Felix Cheung reassigned SPARK-20571:
Assignee: Felix Cheung
> Flaky SparkR StructuredStreaming te
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Felix Cheung resolved SPARK-20543.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
Target
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Felix Cheung commented on SPARK-20571:
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Thanks, I will look into today.
>
Yes 2.2.0
From: kant kodali
Sent: Monday, May 1, 2017 10:43:44 PM
To: dev
Subject: Spark 2.2.0 or Spark 2.3.0?
Hi All,
If I understand the Spark standard release process correctly. It looks like the
official release is going to be sometime end of this month and
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https://issues.apache.org/jira/browse/SPARK-20532?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-20532.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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Felix Cheung resolved SPARK-20192.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
Target
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Felix Cheung commented on SPARK-20192:
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SPARK-20513 for release note ins
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Felix Cheung resolved SPARK-20541.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 2.3.0
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Felix Cheung updated SPARK-20543:
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Description: This is actually recommended in the CRAN policies
> R should skip long running
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Felix Cheung reassigned SPARK-20543:
Assignee: Felix Cheung
> R should skip long running or non-essential tests when runn
Felix Cheung created SPARK-20543:
Summary: R should skip long running or non-essential tests when
running on CRAN
Key: SPARK-20543
URL: https://issues.apache.org/jira/browse/SPARK-20543
Project
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Felix Cheung resolved SPARK-20490.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
Felix Cheung created SPARK-20541:
Summary: SparkR SS should support awaitTermination without timeout
Key: SPARK-20541
URL: https://issues.apache.org/jira/browse/SPARK-20541
Project: Spark
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Felix Cheung resolved SPARK-20535.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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Felix Cheung resolved SPARK-20493.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.3.0
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Felix Cheung resolved SPARK-20533.
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Resolution: Fixed
Assignee: Miao Wang
Fix Version/s: 2.3.0
Target
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Felix Cheung commented on SPARK-14501:
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all done!
> spark.ml parity
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Felix Cheung resolved SPARK-19791.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.0
Target
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https://issues.apache.org/jira/browse/SPARK-20477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-20477.
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Resolution: Fixed
Assignee: Miao Wang
Fix Version/s: 2.3.0
Can you allocate more memory to the executor?
Also please open issue with gf on its github
From: rok
Sent: Friday, April 28, 2017 1:42:33 AM
To: user@spark.apache.org
Subject: "java.lang.IllegalStateException: There is no space for new record" in
GraphFrames
Wh
Why no use sql functions explode and split?
Would perform and be more stable then udf
From: Yanbo Liang
Sent: Thursday, April 27, 2017 7:34:54 AM
To: Selvam Raman
Cc: user
Subject: Re: how to create List in pyspark
You can try with UDF, like the following code s
+1
Tested R on linux and windows
Previous issue with building vignettes on windows with stackoverflow in ALS
still reproduce but as confirmed the issue was in 2.1.0 so this isn't a
regression (and hope for the best on CRAN..)
https://issues.apache.org/jira/browse/SPARK-20402
__
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Felix Cheung resolved SPARK-20478.
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Resolution: Fixed
Assignee: Miao Wang
Fix Version/s: 2.3.0
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Felix Cheung commented on SPARK-20520:
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looks like it's just running
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Felix Cheung updated SPARK-20520:
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Issue Type: Bug (was: Umbrella)
> R streaming tests failed on Wind
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Felix Cheung updated SPARK-20520:
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Summary: R streaming tests failed on Windows (was: R streaming test failed
on Windows)
>
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Felix Cheung updated SPARK-20520:
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Description:
Running R CMD check on SparkR 2.2 RC1 packages
{code}
Failed
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Felix Cheung reassigned SPARK-20520:
Assignee: Felix Cheung (was: Joseph K. Bradley)
> R streaming test failed on Wind
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Felix Cheung updated SPARK-20520:
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Component/s: (was: Documentation)
> R streaming test failed on Wind
Felix Cheung created SPARK-20520:
Summary: R streaming test failed on Windows
Key: SPARK-20520
URL: https://issues.apache.org/jira/browse/SPARK-20520
Project: Spark
Issue Type: Umbrella
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Felix Cheung updated SPARK-20192:
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Summary: SparkR 2.2.0 migration guide, release note (was: SparkR 2.2.0
release note)
> Spa
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Felix Cheung commented on SPARK-20512:
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version migration section is
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Felix Cheung reassigned SPARK-20192:
Assignee: Felix Cheung
> SparkR 2.2.0 release n
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Felix Cheung resolved SPARK-20208.
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Resolution: Fixed
> Document R fpGrowth support in vignettes, programming guide and c
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Felix Cheung reassigned SPARK-20015:
Assignee: Felix Cheung
> Document R Structured Streaming (experimental) in R vignet
+1 (nonbinding)
On Wed, Apr 26, 2017 at 11:13 PM Jeff Feng wrote:
> Hello everyone,
>
> Thank you for checking out our proposal on Superset and for your
> consideration for the Apache Incubator. So far, I believe we have 8
> binding votes and 2 non-binding votes.
>
> As Taylor mentioned earlier
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Felix Cheung commented on SPARK-20478:
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where in https://raw.githubusercontent
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Felix Cheung updated SPARK-20015:
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Summary: Document R Structured Streaming (experimental) in R vignettes and
R & SS program
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Felix Cheung commented on SPARK-20477:
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[~wangmiao1981] Would you like to add
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Felix Cheung updated SPARK-20477:
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Issue Type: Documentation (was: Bug)
> Document R bisecting k-means in R programming gu
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Felix Cheung commented on SPARK-20478:
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[~wangmiao1981] Would you like to add
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https://issues.apache.org/jira/browse/SPARK-20208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung reopened SPARK-20208:
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Actually, would you mind updating the R programming guide too?
> Document R fpGrowth support
Felix Cheung created SPARK-20478:
Summary: Document LinearSVC in R programming guide
Key: SPARK-20478
URL: https://issues.apache.org/jira/browse/SPARK-20478
Project: Spark
Issue Type
Felix Cheung created SPARK-20477:
Summary: Document R bisecting k-means in R programming guide
Key: SPARK-20477
URL: https://issues.apache.org/jira/browse/SPARK-20477
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-20437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-20437.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
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https://issues.apache.org/jira/browse/SPARK-5484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-5484.
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Resolution: Fixed
Assignee: dingding (was: Ankur Dave)
Fix Version/s
You could have multiple notes sharing interpreter - could you have one note for
setup to call streamingcontext.start and another note on a schedule just to run
the select sql statement?
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From: kant kodali mailto:kanth...@gmail.com>>
Sent: Tuesday, April 25, 2017 8:12
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https://issues.apache.org/jira/browse/SPARK-20208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-20208.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Document R fpGrowth support in vignet
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https://issues.apache.org/jira/browse/SPARK-20438?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-20438.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.3.0
?
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From: Vin J mailto:winjos...@gmail.com>>
Sent: Saturday, April 22, 2017 12:33 AM
Subject: Re: [SparkR] - options around setting up SparkSession / SparkContext
To: Felix Cheung mailto:felixcheun...@hotmail.com>>
Cc: mailto:dev@spark.apache.org>>
This is for a noteboo
Cross session is this context is multiple spark sessions from the same spark
context. Since you are running two shells, you are having different spark
context.
Do you have to you a temp view? Could you create a table?
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From: Hemanth Gudela
mailto:hemanth.gud...@qva
How would you handle this in Scala?
If you are adding a wrapper func like getSparkSession for Scala, and have your
users call it, can't you do that same in SparkR? After all, while true you
don't need a SparkSession object to call the R API, someone still needs to call
sparkR.session() to initi
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