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https://issues.apache.org/jira/browse/ARROW-13472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17388778#comment-17388778
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Jonathan Keane commented on ARROW-13472:
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One benefit of having this in just after 5.0.0 is we have time to refine this
before it's released to the world.
One more thing to note: I also think that the UX being that one has to declare
when those hand offs happen, rather than specifying them later on in something
like a {{collect()}} is both easier to understand + learn + use because there's
no magic/guessing which steps are being executed where, but also more tractable
to implement.
> [R] Redesign the UX for using the DuckDB engine
> -----------------------------------------------
>
> Key: ARROW-13472
> URL: https://issues.apache.org/jira/browse/ARROW-13472
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Reporter: Ian Cook
> Priority: Major
> Fix For: 6.0.0
>
>
> ARROW-12688 added:
> * A new function {{to_duckdb()}} which registers an Arrow Dataset with
> DuckDB and returns a dbplyr object that can be used in dplyr pipelines
> * An {{.engine = "duckdb"}} option in the {{summarise()}} function which
> calls {{to_duckdb()}} inside {{summarise()}}
> At the moment, the latter is very convenient because {{summarise()}} is not
> yet natively supported for Arrow Datasets.
> However, this {{.engine = "duckdb"}} option is probably not such a great
> design for how users should interact with the arrow package in the longer
> term after native {{summarise()}} support is added. At that point, it will
> seem strange that this one particular dplyr verb has an {{.engine}} option
> while the others do not. Adding the option to all the other dplyr verbs also
> seems like a poor UX design.
> Consider whether we should ultimately have users choose whether to use the
> Arrow C++ engine or the DuckDB engine by passing an {{.engine}} argument to
> the {{collect()}} or {{compute()}} function, as [~jonkeane] suggested in
> these comments. {{collect()}} would return a tibble whereas {{compute()}}
> would return an Arrow Table.
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