[jira] [Updated] (ARROW-13472) [R] Remove .engine = "duckdb" argument

["Neal Richardson (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-13472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Neal Richardson updated ARROW-13472:
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    Summary: [R] Remove .engine = "duckdb" argument  (was: [R] Redesign the UX for using the DuckDB engine)

> [R] Remove .engine = "duckdb" argument
> --------------------------------------
>
>                 Key: ARROW-13472
>                 URL: https://issues.apache.org/jira/browse/ARROW-13472
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: R
>            Reporter: Ian Cook
>            Assignee: Jonathan Keane
>            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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