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Posted to issues@spark.apache.org by "Clark Fitzgerald (JIRA)" <ji...@apache.org> on 2016/08/19 07:59:20 UTC
[jira] [Comment Edited] (SPARK-16785) dapply doesn't return array
or raw columns
[ https://issues.apache.org/jira/browse/SPARK-16785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15427788#comment-15427788 ]
Clark Fitzgerald edited comment on SPARK-16785 at 8/19/16 7:58 AM:
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Also my proposal above:
bq. to treat the rows as a list of dataframes instead of as a list of lists
did not work. Although I do think that approach has advantages- ie. do.call(rbind, list_of_rows) would always work correctly.
was (Author: clarkfitzg):
Also my proposal above:
bq. to treat the rows as a list of dataframes instead of as a list of lists
did not work.
> dapply doesn't return array or raw columns
> ------------------------------------------
>
> Key: SPARK-16785
> URL: https://issues.apache.org/jira/browse/SPARK-16785
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.0.0
> Environment: Mac OS X
> Reporter: Clark Fitzgerald
> Priority: Minor
>
> Calling SparkR::dapplyCollect with R functions that return dataframes produces an error. This comes up when returning columns of binary data- ie. serialized fitted models. Also happens when functions return columns containing vectors.
> The error message:
> R computation failed with
> Error in (function (..., deparse.level = 1, make.row.names = TRUE, stringsAsFactors = default.stringsAsFactors()) :
> invalid list argument: all variables should have the same length
> Reproducible example: https://github.com/clarkfitzg/phd_research/blob/master/ddR/spark/sparkR_dapplyCollect7.R
> Relates to SPARK-16611
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