Segfault when reading CSV from within the R environment

[Tmonster]

I am in the process of setting up a new run the the db-benchmark and Julia keeps segfaulting when reading the CSV for the data. Maybe I'm just holding it wrong, but the presence of a segfault and not an error tells me there is an actual bug.

This is the most minimum working example I could make

files needed

julia_segfault.R

system("julia julia_script.jl")

julia_script.jl

#!/usr/bin/env julia

using InMemoryDatasets;
using Printf;
using DLMReader;
using PooledArrays;

x = filereader("small.csv", types=[Characters{5}, Characters{5}, Characters{12}, Int32, Int32, Int32, Int32, Int32, Float64]);

print("done loading...\n"); flush(stdout);

CSV file
small.csv

Command to reproduce and error

$ Rscript julia_segfault.R
Segmentation fault (core dumped)

Originally I thought this could be an R issue, but since the Julia script never finishes, I think the problem is more on the Julia side.

versioninfo()

Julia Version 1.10.5
Commit 6f3fdf7b362 (2024-08-27 14:19 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 32 × Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, icelake-server)
Threads: 40 default, 0 interactive, 20 GC (on 32 virtual cores)
Environment:
  JULIA_HOME = /opt/julia-1.10.5
  JULIA_NUM_THREADS = 40

R sessioninfo()

R version 4.3.3 (2024-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 24.04.1 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.12.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0

locale:
 [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8
 [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8
 [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C
[10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C

time zone: Etc/UTC
tzcode source: system (glibc)

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

loaded via a namespace (and not attached):
[1] compiler_4.3.3

Let me know if you need anymore information, this was reproduced on an aws machine with size c6id.8xlarge

Edit: Added error message

[oscardssmith]

Do you have any LD_PRELOADS that could be forcing Julia to load incorrect versions of libraries?

[giordano]

Let me know if you need anymore information

For example the full error message, I don't see it anywhere, or am I totally missing it?

[Tmonster]

Do you have any LD_PRELOADS that could be forcing Julia to load incorrect versions of libraries?

Not too familiar with LD_PRELOADs, so I am going to say no. The aws machine I used was fresh and used fresh installs of the libraries, so I don't think there are any incorrect versions being loaded, unless the libraries I'm using aren't available for 1.10.5.

For example the full error message, I don't see it anywhere, or am I totally missing it?

I forgot to add it, but it isn't very interesting

$ Rscript julia_segfault.R
Segmentation fault (core dumped)