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https://issues.apache.org/jira/browse/ARROW-9461?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun resolved ARROW-9461.
-----------------------------
Fix Version/s: 1.0.0
Resolution: Fixed
Issue resolved by pull request 7751
[https://github.com/apache/arrow/pull/7751]
> [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
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.0.0
>
> Time Spent: 3h 20m
> Remaining Estimate: 0h
>
> 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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