kopczynski-9livesdata opened a new issue, #45882:
URL: https://github.com/apache/arrow/issues/45882
### Describe the bug, including details regarding any error messages,
version, and platform.
When running a script like the following
```
import pyarrow.dataset as ds
import pyarrow.fs
from memory_profiler import profile
import pyarrow
@profile
def load_parquet():
print(f"{pyarrow.total_allocated_bytes() / (1024*1024)}")
fs = pyarrow.fs.S3FileSystem()
s3_dataset = ds.dataset("[my_s3_bucket]/10g.parquet", filesystem=fs)
scanner = s3_dataset.scanner()
scanner.head(10)
del scanner
del s3_dataset
del fs
pyarrow.default_memory_pool().release_unused()
print(f"{pyarrow.total_allocated_bytes() / (1024*1024)}")
if __name__ == "__main__":
load_parquet()
```
I keep getting significant amount of memory allocated which I cannot force
`pyarrow` to release back to OS.
Memory profile and output from this script looks like this:
```
0.0
1516.7496948242188
Filename: src/mem.py
Line # Mem usage Increment Occurrences Line Contents
=============================================================
6 125.2 MiB 125.2 MiB 1 @profile
7 def load_parquet():
8 125.2 MiB 0.0 MiB 1
print(f"{pyarrow.total_allocated_bytes() / (1024*1024)}")
9 130.2 MiB 5.0 MiB 1 fs =
pyarrow.fs.S3FileSystem()
10 140.7 MiB 10.5 MiB 1 s3_dataset =
ds.dataset("dotdata-ddent-tkopczynski-dev/10g.parquet", filesystem=fs)
11 140.9 MiB 0.1 MiB 1 scanner =
s3_dataset.scanner()
12 1700.1 MiB 1559.2 MiB 1 scanner.head(10)
13 1701.0 MiB 0.9 MiB 1 del scanner
14 1701.5 MiB 0.5 MiB 1 del s3_dataset
15 1701.6 MiB 0.1 MiB 1 del fs
16 1701.3 MiB -0.3 MiB 1
pyarrow.default_memory_pool().release_unused()
17 1701.3 MiB 0.0 MiB 1
print(f"{pyarrow.total_allocated_bytes() / (1024*1024)}")
```
Is there anything I'm doing wrong or is this a memory leak?
OS: Ubuntu 22.04.5 LTS
pyarrow version: 19.0.1
### Component(s)
Python
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