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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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