Felix Cheung created SPARK-4709:
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Summary: Spark SQL support for Parquet with timestamp type field
Key: SPARK-4709
URL: https://issues.apache.org/jira/browse/SPARK-4709
Project: Spark
Issue
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Felix Cheung updated SPARK-4709:
Summary: Spark SQL support error reading Parquet with timestamp type field
(was: Spark SQL support
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Felix Cheung updated SPARK-6407:
Description:
Like MLLib's ALS implementation for recommendation, and applying to streaming.
Similar
Felix Cheung created SPARK-6407:
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Summary: Streaming ALS for Collaborative Filtering
Key: SPARK-6407
URL: https://issues.apache.org/jira/browse/SPARK-6407
Project: Spark
Issue Type: New
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Felix Cheung commented on SPARK-8724:
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For instance,
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Felix Cheung commented on SPARK-8724:
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Doesn't SparkR need to be installed in R for
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Felix Cheung commented on SPARK-9325:
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I'll take a shot
Support `collect` on
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Felix Cheung commented on SPARK-9325:
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So we should add collect and head to Column?
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Felix Cheung commented on SPARK-9319:
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[~falaki]Would you be working on this?
Add
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Felix Cheung commented on SPARK-9803:
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subset would be a synonym for `[`
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Felix Cheung commented on SPARK-8041:
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I've done some work to automatically get the
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Felix Cheung commented on SPARK-8277:
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what would be a better approach? Would it work
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Felix Cheung commented on SPARK-6836:
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+1 on randomSplit - probably need that for
Felix Cheung created SPARK-8724:
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Summary: Need documentation on how to deploy or use SparkR in
Spark 1.4.0+
Key: SPARK-8724
URL: https://issues.apache.org/jira/browse/SPARK-8724
Project: Spark
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Felix Cheung commented on SPARK-1517:
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Does this handle SparkR doc build (Which
Felix Cheung created SPARK-11255:
Summary: R Test build should run on R 3.1.1
Key: SPARK-11255
URL: https://issues.apache.org/jira/browse/SPARK-11255
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-11231:
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This should be addressed in the new merge implementation in
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Felix Cheung commented on SPARK-10500:
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[~sunrui]suggestion 08/Sept makes sense. Would you like to
Felix Cheung created SPARK-11340:
Summary: Support setting driver properties when starting Spark
from R programmatically or from RStudio
Key: SPARK-11340
URL: https://issues.apache.org/jira/browse/SPARK-11340
Felix Cheung created SPARK-11407:
Summary: Add documentation on using SparkR from RStudio
Key: SPARK-11407
URL: https://issues.apache.org/jira/browse/SPARK-11407
Project: Spark
Issue Type:
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Felix Cheung commented on SPARK-11407:
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[~shivaram]what other content would you like to be added in
Felix Cheung created SPARK-11409:
Summary: Enable url link in R doc for Persist
Key: SPARK-11409
URL: https://issues.apache.org/jira/browse/SPARK-11409
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-11167:
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Another error from PR 8984
I can have this
> e <-
Felix Cheung created SPARK-11294:
Summary: Improve R doc for read.df, write.df, saveAsTable
Key: SPARK-11294
URL: https://issues.apache.org/jira/browse/SPARK-11294
Project: Spark
Issue Type:
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Felix Cheung commented on SPARK-11167:
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Shouldn't it try to infer the tightest type that could
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Felix Cheung commented on SPARK-11339:
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[~sunrui] [~shivaram] Is this the list?
{code}
Attaching
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Felix Cheung commented on SPARK-11698:
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Should we ignore message? Doesn't that mean possible data
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Felix Cheung commented on SPARK-10863:
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[~olarayej] I"m a little confused - I thought from
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Felix Cheung commented on SPARK-10863:
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I understand but I think this is problematic in several
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Felix Cheung commented on SPARK-11756:
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[~yanboliang] Could you please clarify what is the issue?
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Felix Cheung updated SPARK-11756:
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Component/s: SparkR
> SparkR can not output help information for SparkR:::summary correctly
>
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Felix Cheung updated SPARK-11755:
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Component/s: SparkR
> SparkR can not output help information for SparkR:::predict
>
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Felix Cheung commented on SPARK-11756:
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Fix use of aliases and changes uses of @rdname and @seealso
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Felix Cheung commented on SPARK-11587:
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[~shivaram] here's the list SPARK-11339 (which includes
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Felix Cheung commented on SPARK-11468:
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I'd like to take this if no one has started yet
> Add R API
Felix Cheung created SPARK-11567:
Summary: Add Python API for corr in agg
Key: SPARK-11567
URL: https://issues.apache.org/jira/browse/SPARK-11567
Project: Spark
Issue Type: Task
Affects
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Felix Cheung updated SPARK-11567:
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Summary: Add Python API for corr aggregate function (was: Add Python API
for corr in agg)
>
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Felix Cheung commented on SPARK-11263:
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[~shivaram] what should we do with this? Should we convert
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Felix Cheung commented on SPARK-11492:
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please see SPARK-11263
> Ignore commented code warnings in
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Felix Cheung commented on SPARK-11153:
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so the corrupted stats data would still be a problem when
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Felix Cheung commented on SPARK-11153:
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re-read what you said, I think it makes sense. I assume it
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Felix Cheung commented on SPARK-10971:
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I think he is suggesting the path to R/Rscript to be
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Felix Cheung commented on SPARK-10903:
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[~sunrui] Agreed. I'd like to propose adding .Deprecated to
Felix Cheung created SPARK-11137:
Summary: Make StreamingContext.stop() exception-safe
Key: SPARK-11137
URL: https://issues.apache.org/jira/browse/SPARK-11137
Project: Spark
Issue Type: Bug
Felix Cheung created SPARK-11139:
Summary: Make SparkContext.stop() exception-safe
Key: SPARK-11139
URL: https://issues.apache.org/jira/browse/SPARK-11139
Project: Spark
Issue Type: Bug
Felix Cheung created SPARK-11199:
Summary: Improve R context management story and add getOrCreate
Key: SPARK-11199
URL: https://issues.apache.org/jira/browse/SPARK-11199
Project: Spark
Issue
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Felix Cheung edited comment on SPARK-10903 at 10/20/15 12:46 AM:
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Looked
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Felix Cheung commented on SPARK-10903:
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Looked into and tested with a few approaches.
Tried to
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Felix Cheung updated SPARK-11199:
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Component/s: (was: R)
SparkR
> Improve R context management story and add
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Felix Cheung commented on SPARK-11199:
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I would work on this after SPARK-10903.
[~falaki] [~davies]
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Felix Cheung commented on SPARK-10903:
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Created SPARK-11199 to track context initialization work.
>
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Felix Cheung edited comment on SPARK-10903 at 10/20/15 4:40 AM:
Same with
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Felix Cheung commented on SPARK-10903:
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Same with this
{code}
createDataFrame <- function(x, ...) {
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Felix Cheung commented on SPARK-10903:
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And when revert the code in SparkR package it's working as
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Felix Cheung commented on SPARK-10903:
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Something to do with the namespace
{code}
>
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Felix Cheung commented on SPARK-10903:
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That's puzzling. Any tips on how to debug this?
> Make
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Felix Cheung commented on SPARK-10903:
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It says 'no methods found'.
btw, I think I know why? It
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Felix Cheung commented on SPARK-10903:
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I was sure I tried that but double-checking now, this didn't
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Felix Cheung commented on SPARK-10903:
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Working from SparkR package version in this commit:
Felix Cheung created SPARK-11221:
Summary: Fix R doc for DataFrame function `lit`
Key: SPARK-11221
URL: https://issues.apache.org/jira/browse/SPARK-11221
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-11199:
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[~falaki]Nice - I have a slightly different scope in mind -
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Felix Cheung commented on SPARK-11139:
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Cool, let's take care of SparkContext and StreamingContext
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Felix Cheung commented on SPARK-11199:
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Also, we should consider converging to a single sqlContext
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Felix Cheung commented on SPARK-10903:
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Thanks for testing this out and helping to diagnose the
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Felix Cheung updated SPARK-10903:
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Summary: Simplify SQLContext method signatures and use a singleton (was:
Make sqlContext global
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Felix Cheung commented on SPARK-9325:
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My comment was on collect(df$Age). As I've stated,
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Felix Cheung commented on SPARK-9443:
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is this sampleBy
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Felix Cheung commented on SPARK-9443:
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I'd like to take this once we are done with corr, cov, and
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Felix Cheung commented on SPARK-10903:
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+1 perhaps sparkR.init() should create sqlContext and/or
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Felix Cheung commented on SPARK-10996:
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this is a dup of SPARK-9443
> Implement sampleBy() in
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Felix Cheung updated SPARK-11800:
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Description: (was:
https://zeppelin.incubator.apache.org/docs/manual/dynamicform.html)
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Felix Cheung closed SPARK-11800.
Resolution: Invalid
> Broken link to Spark in Dynamic Form doc
>
Felix Cheung created SPARK-11800:
Summary: Broken link to Spark in Dynamic Form doc
Key: SPARK-11800
URL: https://issues.apache.org/jira/browse/SPARK-11800
Project: Spark
Issue Type: Bug
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Felix Cheung updated SPARK-11339:
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Summary: Fix and document the list of functions in R base package that are
masked by functions
Felix Cheung created SPARK-11715:
Summary: Support corr for Column Aggregration
Key: SPARK-11715
URL: https://issues.apache.org/jira/browse/SPARK-11715
Project: Spark
Issue Type: Bug
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Felix Cheung updated SPARK-11715:
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Summary: R support corr for Column Aggregration (was: Support corr for
Column Aggregration)
>
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Felix Cheung commented on SPARK-9316:
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Felix Cheung created SPARK-10322:
Summary: Column %in% function is not working
Key: SPARK-10322
URL: https://issues.apache.org/jira/browse/SPARK-10322
Project: Spark
Issue Type: Bug
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Felix Cheung edited comment on SPARK-9316 at 8/27/15 6:58 PM:
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Felix Cheung updated SPARK-10322:
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Summary: Column %in% function is not exported (was: Column %in% function
is not working)
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Felix Cheung commented on SPARK-9316:
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As for this,
subsetdf - df[age in (19,
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Felix Cheung commented on SPARK-10322:
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Felix Cheung resolved SPARK-10322.
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Resolution: Duplicate
Looks like this was fixed last night.
Column %in% function is not
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Felix Cheung commented on SPARK-9316:
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The string form is not listed in the code
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Felix Cheung updated SPARK-10346:
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Description:
Spark doesn't seem to replace existing column with the name in mutate (ie.
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Felix Cheung updated SPARK-10346:
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Component/s: SparkR
SparkR mutate and transform should replace column with same name to match R
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Felix Cheung commented on SPARK-9325:
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This turns out to be not straightforward.
Since Column captures
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Felix Cheung commented on SPARK-10903:
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[~shivaram]what do you think?
If ok I would love to take
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Felix Cheung commented on SPARK-10904:
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Do you have the repo steps/code?
> select(df, c("col1",
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https://issues.apache.org/jira/browse/SPARK-10894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940252#comment-14940252
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Felix Cheung commented on SPARK-10894:
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To Shivaram's point, I think it is intentional that
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https://issues.apache.org/jira/browse/SPARK-10903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940229#comment-14940229
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Felix Cheung commented on SPARK-10903:
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+1
could/should we have a version of this that checks
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https://issues.apache.org/jira/browse/SPARK-10904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940416#comment-14940416
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Felix Cheung commented on SPARK-10904:
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I added that line of comment on "df$age" I could clarify
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https://issues.apache.org/jira/browse/SPARK-10904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940429#comment-14940429
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Felix Cheung commented on SPARK-10904:
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`head(df[,c("Sepal_Width", "Sepal_Length")])` this works, I
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https://issues.apache.org/jira/browse/SPARK-10903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940694#comment-14940694
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Felix Cheung commented on SPARK-10903:
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toDF is doing checks in preference order
btw, what functions
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https://issues.apache.org/jira/browse/SPARK-9319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14934377#comment-14934377
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Felix Cheung commented on SPARK-9319:
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[~falaki]?
> Add support for setting column names, types
>
Felix Cheung created SPARK-10346:
Summary: SparkR mutate and transform should replace column with
same name to match R data.frame behavior
Key: SPARK-10346
URL: https://issues.apache.org/jira/browse/SPARK-10346
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https://issues.apache.org/jira/browse/SPARK-11886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034700#comment-15034700
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Felix Cheung commented on SPARK-11886:
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{code}
> library(dplyr)
> library(SparkR,
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https://issues.apache.org/jira/browse/SPARK-12019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-12019:
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Summary: SparkR.init does not support character vector for sparkJars and
sparkPackages (was:
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https://issues.apache.org/jira/browse/SPARK-12019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15037221#comment-15037221
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Felix Cheung commented on SPARK-12019:
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per PR comment, we are going to update the code to support
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https://issues.apache.org/jira/browse/SPARK-12071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15037249#comment-15037249
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Felix Cheung commented on SPARK-12071:
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Also see discussion in
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