lmocsi opened a new issue, #37802:
URL: https://github.com/apache/arrow/issues/37802
### Describe the bug, including details regarding any error messages,
version, and platform.
```
import polars as pl
import pyarrow.dataset as ds
df = pl.scan_pyarrow_dataset(ds.dataset(parq_path+filename,
partitioning='hive'))
df.filter(pl.col('partition_column') == 'value').head(5).collect()
```
Not sure if this belongs to polars or pyarrow.
If I run the above code on a hive-partitioned parquet file created with
org.apache.spark.version: '3.4.0' it runs fine.
If I run it on a file (having 8 simple columns) created with
org.apache.spark.version: '3.4.1', it runs out of 32 GB memory.
### Component(s)
Parquet, Python
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