[jira] [Created] (ARROW-16692) [C++] Segfault in datasets

["Jonathan Keane (Jira)" <ji...@apache.org>]

Jonathan Keane created ARROW-16692:
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             Summary: [C++] Segfault in datasets
                 Key: ARROW-16692
                 URL: https://issues.apache.org/jira/browse/ARROW-16692
             Project: Apache Arrow
          Issue Type: Bug
          Components: C++
            Reporter: Jonathan Keane
         Attachments: backtrace.txt

I'm still working to make a minimal reproducer for this, though I can reliably reproduce it below (though that means needing to download a bunch of data first...). I've cleaned out much of the unnecessary code (so this query below is a bit silly, and not what I'm actually trying to do), but haven't been able to make a constructed dataset that reproduces this.

Working on some example with the new | more cleaned taxi dataset at {{s3://ursa-labs-taxi-data-v2}}, I've run into a segfault:

{code}
library(arrow)
library(dplyr)

ds <- open_dataset("path/to/new_taxi/")

ds %>%
  filter(!is.na(pickup_location_id)) %>%
  summarise(n = n()) %>% collect()
{code}

Most of the time ends in a segfault (though I have gotten it to work on occasion). I've tried with smaller files | constructed datasets and haven't been able to replicate it yet. One thing that might be important is:  {{pickup_location_id}} is all NAs | nulls in the first 8 years of the data or so.

I've attached a backtrace in case that's enough to see what's going on here.






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