Thomas Cercato created ARROW-15045:
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Summary: PyArrow SIGSEGV error when using UnionDatasets
Key: ARROW-15045
URL: https://issues.apache.org/jira/browse/ARROW-15045
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 6.0.1
Environment: Fedora Linux 35 (Workstation Edition), AMD Ryzen 5950X.
Reporter: Thomas Cercato
h3. The context:
I am using PyArrow to read a folder structured as
{{exchange/symbol/date.parquet}}. The folder contains multiple exchanges,
multiple symbols and multiple files. At the time I am writing the folder is
about 30GB/1.85M files.
If I use a single PyArrow Dataset to read/manage the entire folder, the
simplest process with just the dataset defined will occupy 2.3GB of RAM. The
problem is, I am instanciating this dataset on multiple processes but since
every process only needs some exchanges (typically just one), I don't need to
read all folders and files in every single process.
So I tried to use a UnionDataset composed of single exchange Dataset. In this
way, every process just loads the required folder/files as a dataset. By a
simple test, by doing so every process now occupy just 868MB of RAM, -63%.
h3. The problem:
When using a single Dataset for the entire folder/files, I have no problem at
all. I can read filtered data without problems and it's fast as duck.
But when I read the UnionDataset filtered data, I always get {{Process finished
with exit code 139 (interrupted by signal 11: SIGSEGV}} error. So after looking
every single source of the problem, I noticed that if I create a dummy folder
with multiple exchanges but just some symbols, in order to limit the files
amout to read, I don't get that error and it works normally. If I then copy new
symbols folders (any) I get again that error.
I came up thinking that the problem is not about my code, but linked instead to
the amout of files that the UnionDataset is able to manage.
Am I correct or am I doing something wrong? Thank you all, have a nice day and
good work.
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