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Felix Cheung edited comment on SPARK-16577 at 8/11/16 4:36 PM:
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I found
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Felix Cheung commented on SPARK-16577:
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I found that to run the cran check on PDF it requires these
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Felix Cheung edited comment on SPARK-16693 at 7/25/16 7:38 PM:
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Deprecated
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Felix Cheung commented on SPARK-16693:
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Deprecated methods because of Spark JVM API changes are only
Felix Cheung created SPARK-16693:
Summary: Remove R deprecated methods
Key: SPARK-16693
URL: https://issues.apache.org/jira/browse/SPARK-16693
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-16611:
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where are we on this? I'm working on removing the RDD
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Felix Cheung updated SPARK-16507:
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Target Version/s: 2.0.0, 2.1.0 (was: 2.1.0)
> Add CRAN checks to SparkR
>
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Felix Cheung commented on SPARK-16611:
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there's also spark.lapply
> Expose several hidden
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Felix Cheung commented on SPARK-16611:
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Is this SPARK-16581?
> Expose several hidden DataFrame/RDD
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Felix Cheung commented on SPARK-15799:
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Sure, I think they are very valid cases.
For #2, isn't it a
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Felix Cheung commented on SPARK-16508:
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I will check this since SPARK-16507 has been merged
> Fix
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Felix Cheung commented on SPARK-14816:
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could be a nice show case to have a website?
I do spend
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Felix Cheung commented on SPARK-16519:
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I can take this
> Handle SparkR RDD generics that
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Felix Cheung commented on SPARK-16508:
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Sure, from checking
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Felix Cheung updated SPARK-16508:
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Comment: was deleted
(was: Sure but I thought your PR is already handling most of this, and
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Felix Cheung commented on SPARK-16579:
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we should download from an official apache release mirror.
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Felix Cheung edited comment on SPARK-16508 at 7/16/16 3:05 AM:
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Sure but I
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Felix Cheung commented on SPARK-16508:
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Sure but I thought your PR is already handling most of this,
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Felix Cheung commented on SPARK-15799:
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re: higher level R packages that depends on SparkR
- I think
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Felix Cheung updated SPARK-16538:
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Affects Version/s: (was: 1.6.2)
> Cannot use "SparkR::sql"
>
>
>
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Felix Cheung edited comment on SPARK-16538 at 7/14/16 6:23 PM:
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Remove Fix
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Felix Cheung commented on SPARK-16538:
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Remove Fix 1.6.3 since SPARK-10903 was not in Branch-1.6
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Felix Cheung updated SPARK-16538:
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Fix Version/s: (was: 1.6.3)
> Cannot use "SparkR::sql"
>
>
>
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Felix Cheung commented on SPARK-16538:
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Thanks for reporting this!
> Cannot use "SparkR::sql"
>
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Felix Cheung edited comment on SPARK-16510 at 7/14/16 3:55 AM:
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I see. I
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Felix Cheung commented on SPARK-16538:
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Investigating...
> Cannot use "SparkR::sql"
>
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Felix Cheung commented on SPARK-15124:
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I think the main ones are covered, in this and a bunch of
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Felix Cheung commented on SPARK-16510:
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I see. I think Jenkins is optimizing out what to build so it
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Felix Cheung updated SPARK-16309:
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Affects Version/s: (was: 1.6.2)
> SparkR csv source should have the same default na.string
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Felix Cheung commented on SPARK-16519:
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+1 on removing RDD APIs...
> Handle SparkR RDD generics
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Felix Cheung commented on SPARK-16510:
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I suspect (a) is problematic though? Could we assume javac
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Felix Cheung commented on SPARK-14816:
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This was added in the SparkR programming guide.
> Update
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Felix Cheung commented on SPARK-16509:
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These were added in 2.0.0
> Rename window.partitionBy and
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Felix Cheung commented on SPARK-16144:
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It should be possible to have a separate doc page but keep
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Felix Cheung commented on SPARK-16144:
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I think names like predict and summary are familiar to R
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Felix Cheung commented on SPARK-16326:
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Interesting. I'm very surprised by the amount of effort
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Felix Cheung commented on SPARK-16144:
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Sorry, started didn't realize there's a JIRA. There's
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Felix Cheung commented on SPARK-16308:
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could someone please close this bug (I can't)?
> SparkR csv
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Felix Cheung commented on SPARK-16309:
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could someone please close this bug (I can't)?
> SparkR csv
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Felix Cheung closed SPARK-16308.
> SparkR csv source should have the same default na.string as R
>
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Felix Cheung resolved SPARK-16308.
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Resolution: Duplicate
> SparkR csv source should have the same default na.string as R
>
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Felix Cheung commented on SPARK-16309:
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dup of https://issues.apache.org/jira/browse/SPARK-16310
>
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Felix Cheung commented on SPARK-16308:
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dup of https://issues.apache.org/jira/browse/SPARK-16310
>
Felix Cheung created SPARK-16310:
Summary: SparkR csv source should have the same default na.string
as R
Key: SPARK-16310
URL: https://issues.apache.org/jira/browse/SPARK-16310
Project: Spark
Felix Cheung created SPARK-16184:
Summary: Support SparkSession.conf API in SparkR
Key: SPARK-16184
URL: https://issues.apache.org/jira/browse/SPARK-16184
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-15124:
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I think both of these are updated now.
> R 2.0 QA: New R
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Felix Cheung updated SPARK-16088:
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Summary: Update setJobGroup, clearJobGroup, cancelJobGroup SparkR API to
not require sc (was:
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Felix Cheung commented on SPARK-16088:
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Right, since they are S3 methods there really isn't any
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Felix Cheung edited comment on SPARK-16090 at 6/21/16 9:08 PM:
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This is for
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Felix Cheung commented on SPARK-16090:
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This is for example the html output for gapply
{code}
# S4
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Felix Cheung commented on SPARK-16090:
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sounds like we only need to review the doc for gapply -
Felix Cheung created SPARK-16096:
Summary: R deprecate unionAll and add union
Key: SPARK-16096
URL: https://issues.apache.org/jira/browse/SPARK-16096
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-16090:
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statfunction: https://github.com/apache/spark/pull/13803
>
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Felix Cheung edited comment on SPARK-16090 at 6/21/16 8:34 AM:
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Ok, I
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Felix Cheung commented on SPARK-16090:
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Ok, I reviewed all 200+ html pages generated and on all of
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Felix Cheung commented on SPARK-16090:
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+1 on that!
> Improve method grouping in SparkR generated
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Felix Cheung edited comment on SPARK-16088 at 6/21/16 7:10 AM:
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It's
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Felix Cheung commented on SPARK-16088:
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It's possible - both setLogLevel and spark.lapply are new in
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Felix Cheung commented on SPARK-16088:
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Not clear what should be the right behavior but
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Felix Cheung updated SPARK-16088:
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Description: Since they uses SparkContext?
> Deprecate setJobGroup, clearJobGroup,
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Felix Cheung updated SPARK-16088:
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Summary: Deprecate setJobGroup, clearJobGroup, cancelJobGroup from SparkR
API (was: Remove
Felix Cheung created SPARK-16088:
Summary: Remove setJobGroup, clearJobGroup, cancelJobGroup from
SparkR API
Key: SPARK-16088
URL: https://issues.apache.org/jira/browse/SPARK-16088
Project: Spark
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Felix Cheung commented on SPARK-16028:
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Fix ready as soon as the parent PR is merged.
> Remove the
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Felix Cheung commented on SPARK-16027:
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Fix ready as soon as parent PR is merged.
> Fix SparkR
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Felix Cheung commented on SPARK-15159:
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[~shivaram] I am - but trying to have full back
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Felix Cheung commented on SPARK-13174:
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instead we should make sure "csv" source is still accessible
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Felix Cheung commented on SPARK-13174:
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This hasn't said to be R specific - but in the context of PR
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Felix Cheung commented on SPARK-15545:
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I think that's mostly right - the RDD related methods are
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Felix Cheung commented on SPARK-15344:
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There are two ways to change the default.
1) As in the
Felix Cheung created SPARK-15637:
Summary: SparkR tests failing on R 3.2.2
Key: SPARK-15637
URL: https://issues.apache.org/jira/browse/SPARK-15637
Project: Spark
Issue Type: Bug
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Felix Cheung edited comment on SPARK-15439 at 5/26/16 8:22 AM:
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I think we
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Felix Cheung commented on SPARK-15439:
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I think we have an issue here - I"m running R 3.2.2 and the
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Felix Cheung updated SPARK-15545:
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Description:
Need to review what should be removed.
one reason to not remove this right away is
Felix Cheung created SPARK-15545:
Summary: R remove non-exported unused methods, like jsonRDD
Key: SPARK-15545
URL: https://issues.apache.org/jira/browse/SPARK-15545
Project: Spark
Issue
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Felix Cheung commented on SPARK-15439:
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Possibly with R version or package versions. Can you check
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Felix Cheung commented on SPARK-15294:
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Feel free to ping me if you need any help!
On Thu, May
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Felix Cheung commented on SPARK-15344:
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This was the original change:
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Felix Cheung commented on SPARK-15344:
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SPARK-14881 was to get pyspark and sparkR shell to match the
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Felix Cheung edited comment on SPARK-15159 at 5/14/16 12:01 AM:
Right,
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Felix Cheung edited comment on SPARK-15159 at 5/13/16 11:59 PM:
Right,
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Felix Cheung commented on SPARK-15159:
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Right, possibly with SQLContext/HiveContext as wrapper of
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Felix Cheung commented on SPARK-15237:
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opened SPARK-15319
> SparkR corr function documentation
>
Felix Cheung created SPARK-15319:
Summary: Fix SparkR doc layout for corr and other DataFrame stats
functions
Key: SPARK-15319
URL: https://issues.apache.org/jira/browse/SPARK-15319
Project: Spark
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Felix Cheung edited comment on SPARK-15237 at 5/13/16 10:38 PM:
as per
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Felix Cheung commented on SPARK-15237:
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as per the @rdname
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Felix Cheung commented on SPARK-14995:
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should we have Experimental for new API like in Python?
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https://issues.apache.org/jira/browse/SPARK-15159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15273379#comment-15273379
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Felix Cheung commented on SPARK-15159:
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With the updated goal, this seems to be a fairly big change,
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https://issues.apache.org/jira/browse/SPARK-14817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15270123#comment-15270123
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Felix Cheung commented on SPARK-14817:
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perhaps this SPARK-12071 should be included?
> ML, Graph, R
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https://issues.apache.org/jira/browse/SPARK-14995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15265033#comment-15265033
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Felix Cheung commented on SPARK-14995:
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Sure a line like
{code}
#' @note since Spark 2.0.0
{code}
?
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https://issues.apache.org/jira/browse/SPARK-14995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15263389#comment-15263389
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Felix Cheung commented on SPARK-14995:
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Possibly ;)
but if I recall, there isn't a standard way to
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https://issues.apache.org/jira/browse/GEARPUMP-56?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15257243#comment-15257243
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Felix Cheung commented on GEARPUMP-56:
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ZEPPELIN-827
Felix Cheung created ZEPPELIN-827:
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Summary: Apache Gearpump interpreter
Key: ZEPPELIN-827
URL: https://issues.apache.org/jira/browse/ZEPPELIN-827
Project: Zeppelin
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-14881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-14881:
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Summary: pyspark and sparkR shell default log level should match
spark-shell/Scala (was:
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https://issues.apache.org/jira/browse/SPARK-14881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-14881:
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Description:
Scala spark-shell defaults to log level WARN. pyspark and sparkR should match
that
Felix Cheung created SPARK-14881:
Summary: PySpark and sparkR shell default log level should match
spark-shell/Scala
Key: SPARK-14881
URL: https://issues.apache.org/jira/browse/SPARK-14881
Project:
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https://issues.apache.org/jira/browse/SPARK-14831?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15254641#comment-15254641
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Felix Cheung edited comment on SPARK-14831 at 4/22/16 8:45 PM:
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2. +1
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https://issues.apache.org/jira/browse/SPARK-14831?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15254641#comment-15254641
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Felix Cheung commented on SPARK-14831:
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2. +1 read.spark.model and write.spark.model might be more
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https://issues.apache.org/jira/browse/SPARK-14594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15254631#comment-15254631
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Felix Cheung commented on SPARK-14594:
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I see - it is likely then the JVM process died running out
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https://issues.apache.org/jira/browse/SPARK-14831?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15253285#comment-15253285
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Felix Cheung commented on SPARK-14831:
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I'd argue it is more important that they are like the
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https://issues.apache.org/jira/browse/SPARK-14594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15253229#comment-15253229
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Felix Cheung commented on SPARK-14594:
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Not sure if this was specific to the data types of
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