jorgecarleitao commented on pull request #7751:
URL: https://github.com/apache/arrow/pull/7751#issuecomment-659041261
> You mean we need Parquet file with the Date64 type?
Yes. That would be the most reliable way to test this. Something equivalent
to the Rust's counter-part of:
```python
import datetime
import pyarrow as pa
import pyarrow.parquet
import os.path
data = [
datetime.datetime(2000, 1, 1, 12, 34, 56, 123456),
datetime.datetime(2000, 1, 1)
]
data32 = pa.array(data, type='date32')
data64 = pa.array(data, type='date64')
table = pyarrow.Table.from_arrays([data32, data64], names=['a', 'b'])
pyarrow.parquet.write_table(table, 'a.parquet')
```
> there is no conversion from Parquet type to Arrow's Date64 type,
therefore the conversion clause may never happen. See here for Rust and here
for C++
Well, I do not know the details, but the fact that when I run
```python
print(table)
print()
print(pyarrow.parquet.read_table('a.parquet'))
```
I get
```
pyarrow.Table
a: date32[day]
b: date64[ms]
pyarrow.Table
a: date32[day]
b: date32[day] <----------- why?
```
does not inspire me much confidence in the current C++/Python implementation
of this particular type. I sense that there is a bug in the current C++'s
implementation of read or write to parquet for this type.
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