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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