You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Neal Richardson (Jira)" <ji...@apache.org> on 2022/04/22 11:52:00 UTC
[jira] [Resolved] (ARROW-15312) [R][C++] filtering a Parquet dataset with is.na() misses some rows
[ https://issues.apache.org/jira/browse/ARROW-15312?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Neal Richardson resolved ARROW-15312.
-------------------------------------
Resolution: Fixed
Issue resolved by pull request 12950
[https://github.com/apache/arrow/pull/12950]
> [R][C++] filtering a Parquet dataset with is.na() misses some rows
> ------------------------------------------------------------------
>
> Key: ARROW-15312
> URL: https://issues.apache.org/jira/browse/ARROW-15312
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 6.0.1
> Environment: R 4.1.2 on Windows
> arrow 6.0.1
> dplyr 1.0.7
> Reporter: Pierre Gramme
> Assignee: Jonathan Keane
> Priority: Critical
> Labels: dataset, pull-request-available
> Fix For: 8.0.0
>
> Time Spent: 50m
> Remaining Estimate: 0h
>
> Hi !
> I just found an issue when querying an Arrow dataset with dplyr, filtering on is.na(...)
> It seems linked to columns containing only one distinct value and some NA's.
> Can you also reproduce the following?
>
> {code:java}
> library(arrow)
> library(dplyr)
>
> ds_path = "test-arrow-na"
> df = tibble(x=1:3, y=c(0L, 0L, NA_integer_), z=c(0L, 1L, NA_integer_))
>
> df %>% arrow::write_dataset(ds_path)
>
> # OK: Collect then filter: returns row 3, as expected
> arrow::open_dataset(ds_path) %>% collect() %>% filter(is.na(y))
> # ERROR: Filter then collect (on y) returns a tibble with no row
> arrow::open_dataset(ds_path) %>% filter(is.na(y)) %>% collect()
>
> # OK: Filter then collect (on z) returns row 3, as expected
> arrow::open_dataset(ds_path) %>% filter(is.na(z)) %>% collect() {code}
>
> Thanks
> Pierre
--
This message was sent by Atlassian Jira
(v8.20.7#820007)