kcajf opened a new issue, #44957:
URL: https://github.com/apache/arrow/issues/44957
### Describe the bug, including details regarding any error messages,
version, and platform.
```
def load_my_data():
path = "mydata.arrow"
with pa.memory_map(path) as f:
t = pyarrow.feather.read_table(f)
return t
t = load_my_data()
```
I have the above script. My arrow file is uncompressed. I was hoping that I
would be able to load it without copying, by memory-mapping.
The above doesn't seem to do that. I see no mention of my file path in
`/proc/{pid}/smaps`. Moreover, if I create a large list of `load_my_data()`
results, my resident memory usage goes up and up until I OOM.
Is this expected?
Thanks
### Component(s)
Python
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