Backport PR pandas-dev#54985 on branch 2.1.x (REGR: rountripping datetime through sqlite doesn't work) (pandas-dev#54993)

Backport PR pandas-dev#54985: REGR: rountripping datetime through sqlite doesn't work

Co-authored-by: Patrick Hoefler <[email protected]>

Author: meeseeksmachine

doc/source/whatsnew/v2.1.1.rst

@@ -18,6 +18,7 @@ Fixed regressions
 - Fixed regression in :func:`read_csv` when ``delim_whitespace`` is True (:issue:`54918`, :issue:`54931`)
 - Fixed regression in :meth:`.GroupBy.get_group` raising for ``axis=1`` (:issue:`54858`)
 - Fixed regression in :meth:`DataFrame.__setitem__` raising ``AssertionError`` when setting a :class:`Series` with a partial :class:`MultiIndex` (:issue:`54875`)
+- Fixed regression in :meth:`DataFrame.to_sql` not roundtripping datetime columns correctly for sqlite (:issue:`54877`)
 - Fixed regression in :meth:`MultiIndex.append` raising when appending overlapping :class:`IntervalIndex` levels (:issue:`54934`)
 - Fixed regression in :meth:`Series.drop_duplicates` for PyArrow strings (:issue:`54904`)
 - Fixed regression in :meth:`Series.value_counts` raising for numeric data if ``bins`` was specified (:issue:`54857`)

pandas/io/sql.py

@@ -2091,13 +2091,11 @@ def _adapt_time(t) -> str:
 
         adapt_date_iso = lambda val: val.isoformat()
         adapt_datetime_iso = lambda val: val.isoformat()
-        adapt_datetime_epoch = lambda val: int(val.timestamp())
 
         sqlite3.register_adapter(time, _adapt_time)
 
         sqlite3.register_adapter(date, adapt_date_iso)
         sqlite3.register_adapter(datetime, adapt_datetime_iso)
-        sqlite3.register_adapter(datetime, adapt_datetime_epoch)
 
         convert_date = lambda val: date.fromisoformat(val.decode())
         convert_datetime = lambda val: datetime.fromisoformat(val.decode())

pandas/tests/io/test_sql.py

@@ -2962,6 +2962,13 @@ def test_read_sql_string_inference(self):
 
         tm.assert_frame_equal(result, expected)
 
+    def test_roundtripping_datetimes(self):
+        # GH#54877
+        df = DataFrame({"t": [datetime(2020, 12, 31, 12)]}, dtype="datetime64[ns]")
+        df.to_sql("test", self.conn, if_exists="replace", index=False)
+        result = pd.read_sql("select * from test", self.conn).iloc[0, 0]
+        assert result == "2020-12-31 12:00:00.000000"
+
 
 @pytest.mark.db
 class TestMySQLAlchemy(_TestSQLAlchemy):