alitrack opened a new issue #2044:
URL: https://github.com/apache/arrow-datafusion/issues/2044
**Describe the bug**
A clear and concise description of what the bug is.
when use register_parquet, datetime got wrong result, but register_csv no
problem.
if use pandas read it dataframe and use register_record_batches also OK.
**To Reproduce**
Steps to reproduce the behavior:
```python
import datafusion
import pyarrow as pa
ctx = datafusion.ExecutionContext()
ctx.register_parquet('taxi_sample','yellow_taxi_sample.parquet')
sql ="select * from taxi_sample"
pydf=ctx.sql(query)
pa.Table.from_batches(pydf.collect()).to_pandas()
```
**Expected behavior**
A clear and concise description of what you expected to happen.
expected result ,
```
pickup_datetime
0 2009-01-04 02:52:00
1 2009-01-04 03:31:00
2 2009-01-03 15:43:00
```
but got,
```
pickup_datetime
0 1970-01-15 05:57:17.520
1 1970-01-15 05:57:19.860
2 1970-01-15 05:56:37.380
```
**Additional context**
Add any other context about the problem here.
the sample data is part of [Year 2009-2015 - 1 billion rows -
107GB](https://vaex.s3.us-east-2.amazonaws.com/taxi/yellow_taxi_2009_2015_f32.hdf5)
[yellow_taxi_sample.parquet.zip](https://github.com/apache/arrow-datafusion/files/8312598/yellow_taxi_sample.parquet.zip)
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
