Use of sorting_columns parquet metadata

[Thomzoy]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import pyarrow.parquet as pq
import pyarrow as pa
import numpy as np
import polars as pl

data = dict(col=np.arange(1000))

# LazyFrame
lf = pl.LazyFrame(data)
lf = lf.set_sorted("col")
lf.sink_parquet("data_from_polars.parquet")

# Pyarrow Table
table = pa.Table.from_pydict(data)
sorting = [("col","ascending")]

sorting_columns = [
    pq.SortingColumn(table.column_names.index("col"))
]
pq.write_table(table, "data_from_pyarrow.parquet", sorting_columns=sorting_columns)

Then checking the parquet metadata using pyarrow:

pq.ParquetFile("data_from_polars.parquet").metadata.row_group(0).sorting_columns
# Out: ()

pq.ParquetFile("data_from_pyarrow.parquet").metadata.row_group(0).sorting_columns
# Out: (SortingColumn(column_index=0, descending=False, nulls_first=False),)

Log output

No response

Issue description

It seems that when sinking/writing frames to parquet, polars isn't able to save the sorting columns metadata, whereas e.g. pyarrow can.
As a side-note, I have trouble figuring out if/when polars would use this information (wether directly from the parquet metadata or by the use of set_sorted() ?

Expected behavior

Efficiently write/read the sorting_columns parquet metadata to speed-up further processing

Installed versions

--------Version info---------
Polars:              1.7.1
Index type:          UInt32
Platform:            Linux-4.18.0-425.10.1.el8_7.x86_64-x86_64-with-glibc2.35
Python:              3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]

----Optional dependencies----
adbc_driver_manager  <not installed>
altair               <not installed>
cloudpickle          <not installed>
connectorx           <not installed>
deltalake            <not installed>
fastexcel            <not installed>
fsspec               2024.5.0
gevent               <not installed>
great_tables         <not installed>
matplotlib           3.9.2
nest_asyncio         1.6.0
numpy                2.0.1
openpyxl             <not installed>
pandas               2.2.2
pyarrow              16.1.0
pydantic             2.8.2
pyiceberg            <not installed>
sqlalchemy           <not installed>
torch                <not installed>
xlsx2csv             <not installed>
xlsxwriter           <not installed>