[
https://issues.apache.org/jira/browse/ARROW-7028?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney updated ARROW-7028:
--------------------------------
Fix Version/s: 1.0.0
> [R] Date roundtrip results in different R storage mode
> ------------------------------------------------------
>
> Key: ARROW-7028
> URL: https://issues.apache.org/jira/browse/ARROW-7028
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 0.15.0
> Reporter: Sascha
> Priority: Major
> Fix For: 1.0.0
>
> Attachments: image-2019-10-30-23-08-17-296.png
>
>
> When saving R-dataframes with parquet and loading them again, the internal
> representation of Dates changes, leading e.g. to errors when comparing them
> in dplyr::if_else.
> {code}
> library(dplyr)
> #>
> #> Attaching package: 'dplyr'
> #> The following objects are masked from 'package:stats':
> #>
> #> filter, lag
> #> The following objects are masked from 'package:base':
> #>
> #> intersect, setdiff, setequal, union
> tmp = tempdir()
> dat = tibble(tag = as.Date("2018-01-01"))
> dat2 = tibble(tag2 = as.Date("2019-01-01"))
> arrow::write_parquet(dat, file.path(tmp, "dat.parquet"))
> dat = arrow::read_parquet(file.path(tmp, "dat.parquet"))
> typeof(dat$tag)
> #> [1] "integer"
> typeof(dat2$tag2)
> #> [1] "double"
> bind_cols(dat, dat2) %>%
> mutate(comparison = if_else(TRUE, tag, tag2))
> #> `false` must be a `Date` object, not a `Date` object
> {code}
> Created on 2019-10-30 by the [reprex package](https://reprex.tidyverse.org)
> (v0.3.0)
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
