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