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https://issues.apache.org/jira/browse/ARROW-15168?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Neal Richardson resolved ARROW-15168.
-------------------------------------
Resolution: Fixed
Issue resolved by pull request 12817
[https://github.com/apache/arrow/pull/12817]
> [R] Add S3 generics to create main Arrow objects
> ------------------------------------------------
>
> Key: ARROW-15168
> URL: https://issues.apache.org/jira/browse/ARROW-15168
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Reporter: Dewey Dunnington
> Assignee: Dewey Dunnington
> Priority: Major
> Labels: pull-request-available
> Fix For: 8.0.0
>
> Time Spent: 8h 50m
> Remaining Estimate: 0h
>
> Right now we create Tables, RecordBatches, ChunkedArrays, and Arrays using
> the corresponding {{$create()}} functions (or a few shortcut functions). This
> works well for converting other Arrow or base R types to Arow objects but
> doesn’t work well for objects in other packages (e.g., sf). This is related
> to ARROW-14378 in that it provides a mechanism for other packages support
> writing objects to Arrow in a more Arrow-native form instead of serializing
> attributes that are unlikely to be readable in other packages. Many of these
> came up when experimenting with {{carrow}} when trying to provide seamless
> arrow package compatibility for S3 objects that wrap external pointers to C
> API data structures. S3 is a good way to do this because the other package
> doesn't have to put arrow in {{Imports}} since it's a heavy dependency.
> For argument’s sake I’ll propose adding the following methods:
> - {{as_arrow_array(x, type = NULL)}} -> {{Array}}
> - {{as_arrow_chunked_array(x, type = NULL)}} -> {{ChunkedArray}}
> - {{as_arrow_record_batch(x, schema = NULL)}} -> {{RecordBatch}}
> - {{as_arrow_table(x, schema = NULL)}} -> {{Table}}
> - {{as_arrow_data_type(x)}} -> {{DataType}}
> - {{as_arrow_record_batch_reader(x, schema = NULL)}} ->
> {{RecordBatchReader}}
> I’ll note that use {{as_adq()}} internally for similar reasons (to convert a
> few different object types into a arrow dplyr query when that’s the data
> structure we need).
> As part of this ticket, if we choose to move forward, we should implement the
> default methods with some internal consistency (i.e., somebody wanting to
> provide Arrow support in a package probably only has to implement
> {{as_arrow_array()}} to get most support.
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