[jira] [Created] (ARROW-9461) [Rust] Reading Date32 and Date64 errors - they are incorrectly converted to RecordBatch

["Jorge (Jira)" <ji...@apache.org>]

Jorge created ARROW-9461:
----------------------------

             Summary: [Rust] Reading Date32 and Date64 errors - they are incorrectly converted to RecordBatch
                 Key: ARROW-9461
                 URL: https://issues.apache.org/jira/browse/ARROW-9461
             Project: Apache Arrow
          Issue Type: Bug
          Components: Rust
            Reporter: Jorge
            Assignee: Jorge


Steps to reproduce:

1. Create a file `a.parquet` using the following code:


{code:python}
import pyarrow.parquet
import numpy


def _data_datetime(f):
    data = numpy.array([
        numpy.datetime64('2018-08-18 23:25'),
        numpy.datetime64('2019-08-18 23:25'),
        numpy.datetime64("NaT")
    ])
    data = numpy.array(data, dtype=f'datetime64[{f}]')
    return data

def _write_parquet(path, data):
    table = pyarrow.Table.from_arrays([pyarrow.array(data)], names=['a'])
    pyarrow.parquet.write_table(table, path)
    return path


_write_parquet('a.parquet', _data_datetime('D'))
{code}

2. Write a small example to read it to RecordBatches

3. observe the error {{ArrowError(ParquetError("InvalidArgumentError(\"column types must match schema types, expected Date32(Day) but found UInt32 at column index 0\")"))}}







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