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https://issues.apache.org/jira/browse/ARROW-17414?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17580213#comment-17580213
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Rok Mihevc commented on ARROW-17414:
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Agreed! You already opened ARROW-17416 to add with_tz and force_tz. So this
ticket can then be for the error message?
> [R]: Lack of `assume_timezone` binding
> --------------------------------------
>
> Key: ARROW-17414
> URL: https://issues.apache.org/jira/browse/ARROW-17414
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Affects Versions: 9.0.0
> Reporter: SHIMA Tatsuya
> Priority: Major
>
> If we run the following code in R, we will get a C++ derived error message
> telling us to use {{assume_timezone}}.
> However, this error message is not helpful because there is no binding for
> the {{assume_timezone}} function in R.
> {code:r}
> tf <- tempfile()
> writeLines("2004-04-01 12:00", tf)
> arrow::read_csv_arrow(tf, schema = arrow::schema(col1 = arrow::timestamp("s",
> "UTC")))
> #> Error:
> #> ! Invalid: In CSV column #0: CSV conversion error to timestamp[s, tz=UTC]:
> expected a zone offset in '2004-04-01 12:00'. If these timestamps are in
> local time, parse them as timestamps without timezone, then call
> assume_timezone.
> #> ℹ If you have supplied a schema and your data contains a header row, you
> should supply the argument `skip = 1` to prevent the header being read in as
> data.
> {code}
> It would be useful to improve the error message or to allow
> {{assume_timezone}} to be used from R as well.
> (although {{lubridate::with_tz()}} and {{lubridate::force_tz()}} could be
> more useful within a dplyr query)
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