You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "David Li (Jira)" <ji...@apache.org> on 2021/11/08 13:45:00 UTC

[jira] [Updated] (ARROW-14630) [C++] DCHECK in GroupByNode when error encountered

     [ https://issues.apache.org/jira/browse/ARROW-14630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

David Li updated ARROW-14630:
-----------------------------
    Description: 
[~thisisnic] found that this example crashes:
{code:java}
library(arrow)
library(dplyr)
write_dataset(group_by(iris, Species), "iris_data")open_dataset("iris_data") %>%
  group_by(Species) %>%
  summarise(mean(Sepal.Length)) %>%
  collect()  {code}
There are two bugs here:
 * StopProducing is written in a way that causes a future to be finished twice, triggering a DCHECK.
 * Consume() doesn't set the length of the key column batch, causing a spurious error because the group ID datum and the values datum will have different lengths.

  was:
[~thisisnic] found that this example crashes:
{code:java}
library(arrow)
library(dplyr)write_dataset(group_by(iris, Species), "iris_data")open_dataset("iris_data") %>%
  group_by(Species) %>%
  summarise(mean(Sepal.Length)) %>%
  collect()  {code}
There are two bugs here:
 * StopProducing is written in a way that causes a future to be finished twice, triggering a DCHECK.
 * Consume() doesn't set the length of the key column batch, causing a spurious error because the group ID datum and the values datum will have different lengths.


> [C++] DCHECK in GroupByNode when error encountered
> --------------------------------------------------
>
>                 Key: ARROW-14630
>                 URL: https://issues.apache.org/jira/browse/ARROW-14630
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++
>    Affects Versions: 6.0.0
>            Reporter: Nicola Crane
>            Assignee: David Li
>            Priority: Major
>              Labels: query-engine
>
> [~thisisnic] found that this example crashes:
> {code:java}
> library(arrow)
> library(dplyr)
> write_dataset(group_by(iris, Species), "iris_data")open_dataset("iris_data") %>%
>   group_by(Species) %>%
>   summarise(mean(Sepal.Length)) %>%
>   collect()  {code}
> There are two bugs here:
>  * StopProducing is written in a way that causes a future to be finished twice, triggering a DCHECK.
>  * Consume() doesn't set the length of the key column batch, causing a spurious error because the group ID datum and the values datum will have different lengths.



--
This message was sent by Atlassian Jira
(v8.20.1#820001)