mmuru edited a comment on pull request #969:
URL: https://github.com/apache/arrow-datafusion/pull/969#issuecomment-913354522
@charliec443: Now, you fixed other date and time related issues. Added test
case looks good. Here is the my test case before your fix.
```
import pyarrow as pa
import pytest
from datafusion import ExecutionContext
from datafusion import functions as f
import datetime
from . import generic as helpers
@pytest.fixture
def df():
ctx = ExecutionContext()
# create a RecordBatch and a new DataFrame from it
batch = pa.RecordBatch.from_arrays(
[helpers.data_datetime("s"),helpers.data_date32(),
helpers.data_date64()],
names=["ts", "dt1", "dt2"],
)
return ctx.create_dataframe([[batch]])
def test_select_ts_date(df):
df = df.select(f.col('ts'),f.col('dt1'),f.col('dt2'))
# execute and collect the first (and only) batch
result = df.collect()[0]
assert result.column(0) == helpers.data_datetime("s")
assert result.column(1) == helpers.data_date32()
assert result.column(2) == helpers.data_date64()
```
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