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Posted to issues@spark.apache.org by "Ott Toomet (JIRA)" <ji...@apache.org> on 2017/04/18 17:52:41 UTC

[jira] [Comment Edited] (SPARK-20263) create empty dataframes in sparkR

    [ https://issues.apache.org/jira/browse/SPARK-20263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15973157#comment-15973157 ] 

Ott Toomet edited comment on SPARK-20263 at 4/18/17 5:51 PM:
-------------------------------------------------------------

for instance, by rbinding in a loop.  I have several pieces of code that work along the lines:
    for(file in datafiles) {
       df <- read.parquet(file)
       result <- do_something_with(df)
       final <- rbind(final, result) 
    }

Sure, one can easily add logic to check if we have initialized 'final' but it seems so much simpler and logical just to initialize empty 'final' before the loop.


was (Author: otoomet):
for instance, by rbinding in a loop.  I have several pieces of code that work along the lines:
for(file in datafiles) {
   df <- read.parquet(file)
   result <- do_something_with(df)
   final <- rbind(final, result) 
}

Sure, one can easily add logic to check if we have initialized 'final' but it seems so much simpler and logical just to initialize empty 'final' before the loop.

> create empty dataframes in sparkR
> ---------------------------------
>
>                 Key: SPARK-20263
>                 URL: https://issues.apache.org/jira/browse/SPARK-20263
>             Project: Spark
>          Issue Type: Wish
>          Components: SparkR
>    Affects Versions: 2.1.0
>            Reporter: Ott Toomet
>            Priority: Minor
>
> SparkR 2.1 does not support creating empty dataframes, nor conversion of empty R dataframes to spark ones:
> createDataFrame(data.frame(a=integer()))
> gives 
> Error in takeRDD(x, 1)[[1]] : subscript out of bounds



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