kosiew commented on issue #957:
URL: 
https://github.com/apache/datafusion-python/issues/957#issuecomment-2550244691

   hi @kylebarron ,
   
   I amended  [`skip_metadata: bool = 
False`](https://github.com/kosiew/datafusion-python/blob/8ea404b6f2689b3f104d46109482ad5c551041d7/python/datafusion/context.py#L718)
 and ran
   
   
   ```
   import datafusion as df
   import pyarrow as pa
   
   FILENAME = "/tmp/fixed_array_example.parquet"
   ctx = df.SessionContext()
   
   array = pa.array([[1.0, 2.0], [3.0, 4.0]], type=pa.list_(pa.float32(), 2))
   table = pa.Table.from_pydict({"array": array})
   df_table = ctx.from_arrow(table)
   print("original schema:")
   print(df_table.schema())
   
   df_table.write_parquet(FILENAME)
   
   ctx.register_parquet("test_fixed_list", FILENAME)
   
   print("register parquet schema:")
   print(ctx.table("test_fixed_list").schema())
   ```
   
   but still the fixed size list type was still retained:
   
   ```
   original schema:
   array: fixed_size_list<item: float>[2]
     child 0, item: float
   ==> register_parquet with skip_metadata:  False
   register parquet schema:
   array: list<item: float>
     child 0, item: float
   ```


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