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Add support for executemany() #810
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bgunebakan
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fix/807-executemany-does-not-translate-pyformat-dict-params
Jun 9, 2026
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -125,6 +125,92 @@ def test_cursor_executemany(mocked_connection): | |
| assert response["results"] == result | ||
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| def test_executemany_with_named_params(mocked_connection): | ||
| """ | ||
| Verify that executemany() translates pyformat %(name)s placeholders to | ||
| positional $N markers and converts each dict row to a positional list. | ||
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| """ | ||
| response = { | ||
| "col_types": [], | ||
| "cols": [], | ||
| "duration": 123, | ||
| "results": [{"rowcount": 1}, {"rowcount": 1}], | ||
| } | ||
| with mock.patch.object( | ||
| mocked_connection.client, "sql", return_value=response | ||
| ): | ||
| cursor = mocked_connection.cursor() | ||
| cursor.executemany( | ||
| "INSERT INTO characters (name, age) VALUES (%(name)s, %(age)s)", | ||
|
Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Can you also add a case where one named argument is used multiple times and check that it gets the same position number?
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Added tests 10faeae |
||
| [ | ||
| {"name": "Arthur", "age": 42}, | ||
| {"name": "Bill", "age": 35}, | ||
| ], | ||
| ) | ||
| sql, _params, bulk_args = mocked_connection.client.sql.call_args[0] | ||
| assert sql == "INSERT INTO characters (name, age) VALUES ($1, $2)" | ||
| assert bulk_args == [["Arthur", 42], ["Bill", 35]] | ||
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| def test_executemany_with_named_params_missing_key(mocked_connection): | ||
| """ | ||
| Verify that executemany() raises ProgrammingError when a row is missing a | ||
| key that appears as a placeholder in the SQL. | ||
| """ | ||
| cursor = mocked_connection.cursor() | ||
| with pytest.raises( | ||
| ProgrammingError, match="Named parameter 'age' not found" | ||
| ): | ||
| cursor.executemany( | ||
| "INSERT INTO characters (name, age) VALUES (%(name)s, %(age)s)", | ||
| [ | ||
| {"name": "Arthur", "age": 42}, | ||
| {"name": "Bill"}, # missing 'age' | ||
| ], | ||
| ) | ||
| mocked_connection.client.sql.assert_not_called() | ||
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| def test_executemany_with_named_params_repeated(mocked_connection): | ||
| """ | ||
| Verify that a placeholder name used multiple times in the SQL maps to the | ||
| same $N position in every occurrence, and the value appears only once in | ||
| each row's positional list. | ||
| """ | ||
| response = { | ||
| "col_types": [], | ||
| "cols": [], | ||
| "duration": 123, | ||
| "results": [{"rowcount": 1}, {"rowcount": 1}], | ||
| } | ||
| with mock.patch.object( | ||
| mocked_connection.client, "sql", return_value=response | ||
| ): | ||
| cursor = mocked_connection.cursor() | ||
| cursor.executemany( | ||
| "INSERT INTO t (a, b) VALUES (%(x)s, %(x)s)", | ||
| [{"x": 1}, {"x": 2}], | ||
| ) | ||
| sql, _params, bulk_args = mocked_connection.client.sql.call_args[0] | ||
| assert sql == "INSERT INTO t (a, b) VALUES ($1, $1)" | ||
| assert bulk_args == [[1], [2]] | ||
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| def test_executemany_with_mixed_param_types(mocked_connection): | ||
| """ | ||
| Verify that executemany() raises a clear ProgrammingError when the | ||
| parameter sequence mixes dicts and non-dicts while the SQL uses pyformat. | ||
| """ | ||
| cursor = mocked_connection.cursor() | ||
| with pytest.raises(ProgrammingError, match="requires all parameter rows"): | ||
| cursor.executemany( | ||
| "INSERT INTO characters (name) VALUES (%(name)s)", | ||
| [{"name": "Arthur"}, ["Trillian"]], # second row is a list | ||
| ) | ||
| mocked_connection.client.sql.assert_not_called() | ||
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| def test_create_with_timezone_as_datetime_object(mocked_connection): | ||
| """ | ||
| The cursor can return timezone-aware `datetime` objects when requested. | ||
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What happens if there is a mix of dict/non-dict args?
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currently we raise an error. Do we have case to use mix of dict/non-dict together? I couldn't find how server handle that. What it should do?
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Raising an error sounds good if it's one that makes it clear that mixing dict/non-dict together isn't supported.
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I added edge case here cursor.py:92 so it will raise
ProgrammingErrorand added test for that.