[jira] [Commented] (ARROW-2969) [R] Convert between StructArray and "nested" data.frame column containing data frame in each cell

["Javier Luraschi (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-2969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16664222#comment-16664222 ] 

Javier Luraschi commented on ARROW-2969:
----------------------------------------

In Spark, it is pretty common to end up with structures like:
{code:java}
jsonlite::fromJSON('[{"city" : "Zurich", "languages": ["English", "German"]}, {"city" : "Seattle", "languages": "English"}]') %>% as_tibble()

# A tibble: 2 x 2
   city   languages
 * <chr>  <list>
 1 Zurich <chr [2]>
 2 Seattle <chr [1]>
{code}
Or,
{code:java}
jsonlite::fromJSON('[{"city" : "Zurich", "languages": ["English", {"other": "German"}]}, {"city" : "Seattle", "languages": ["English", {"other": "Spanish"}]}]') %>% as_tibble()

# A tibble: 2 x 2
   city    languages
 * <chr>   <list>
 1 Zurich  <list [2]>
 2 Seattle <list [2]>
{code}
Data frames with nested data frames are not that common in Spark.

> [R] Convert between StructArray and "nested" data.frame column containing data frame in each cell
> -------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-2969
>                 URL: https://issues.apache.org/jira/browse/ARROW-2969
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: R
>            Reporter: Wes McKinney
>            Priority: Major
>
> These are starting to be more widely used with the tidyr package and elsewhere cc [~hadley]



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