Jonathan Keane created ARROW-16692: -------------------------------------- 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. -- This message was sent by Atlassian Jira (v8.20.7#820007)