apache / apache/arrow

[C++][Parquet] A 175M DataFrame saved to parquet requires 1G of memory to be read

Open
#38,245 16 comments 1 reaction 0 assignees View on GitHub
Component: Python Type: bug
Dominant language
C++
Stars
17.1k
Forks
4.3k
Avg merge
3d 13h
Merged PRs (30d)
88

Description

### Describe the bug, including details regarding any error messages, version, and platform.

```python
import memray
import pyarrow.parquet
import pandas as pd

myfile_path = "history_files.parquet"

with memray.Tracker("corr.bin", native_traces=True):
# myfile = pd.read_parquet(myfile_path)
myfile = pyarrow.parquet.read_table(myfile_path, use_threads=False)
```

This reports a peak of 1GiB. Is that expected?

[myfile.zip](https://github.com/apache/arrow/files/12882729/myfile.zip)
[flamegraph.zip](https://github.com/apache/arrow/files/12882735/flamegraph.zip)

### Component(s)

Python

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.