wjones127 commented on issue #34546:
URL: https://github.com/apache/arrow/issues/34546#issuecomment-1466587443
I think even if the arrays are `large_string`, you can still specify
`string` in the partitioning. This seems to work:
```python
import pyarrow as pa
import pyarrow.dataset as ds
table = pa.table(
{
"partition1": pa.array(["1", "2", "3", "4", "5"], pa.large_string()),
"partition2": pa.array(["2001", "2002", "2003", "2004", "2004"],
pa.large_string()),
"3": pa.array(["1", "2", "3", "4", "5"], pa.large_string()),
"val": list(range(5)),
}
)
file_options = ds.ParquetFileFormat().make_write_options(compression="zstd")
partitions = ds.partitioning(
schema=pa.schema(
[
("partition1", pa.string()),
("partition2", pa.string()),
("3", pa.string()),
]
)
)
ds.write_dataset(
table,
f"tables/test_parts",
format="parquet",
file_options=file_options,
partitioning=partitions,
schema=table.schema,
existing_data_behavior="overwrite_or_ignore",
)
```
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