thisisnic commented on issue #40224:
URL: https://github.com/apache/arrow/issues/40224#issuecomment-1962568372
Hmm, could be an R bug or something already solved actually; I ran the
following (different query, but similarly problematic in R) with pyarrow:
```
import pyarrow as pa
import pyarrow.parquet as pq
import pyarrow.dataset as ds
dataset = ds.dataset("data/pums/person", format="parquet")
ds.write_dataset("data/pums/person-puma-partition", partitioning = ["year",
"PUMA"])
```
and RAM usage never goes above 80%.
(It is a newer Arrow C++ version though, so I'll need to check and see if
it's the same on 14.0.0)
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