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sqlalchemy
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test_results.py
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# testing/suite/test_results.py # Copyright (C) 2005-2024 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: https://www.opensource.org/licenses/mit-license.php # mypy: ignore-errors import datetime import re from .. import engines from .. import fixtures from ..assertions import eq_ from ..config import requirements from ..schema import Column from ..schema import Table from ... import DateTime from ... import func from ... import Integer from ... import select from ... import sql from ... import String from ... import testing from ... import text class RowFetchTest(fixtures.TablesTest): __backend__ = True @classmethod def define_tables(cls, metadata): Table( "plain_pk", metadata, Column("id", Integer, primary_key=True), Column("data", String(50)), ) Table( "has_dates", metadata, Column("id", Integer, primary_key=True), Column("today", DateTime), ) @classmethod def insert_data(cls, connection): connection.execute( cls.tables.plain_pk.insert(), [ {"id": 1, "data": "d1"}, {"id": 2, "data": "d2"}, {"id": 3, "data": "d3"}, ], ) connection.execute( cls.tables.has_dates.insert(), [{"id": 1, "today": datetime.datetime(2006, 5, 12, 12, 0, 0)}], ) def test_via_attr(self, connection): row = connection.execute( self.tables.plain_pk.select().order_by(self.tables.plain_pk.c.id) ).first() eq_(row.id, 1) eq_(row.data, "d1") def test_via_string(self, connection): row = connection.execute( self.tables.plain_pk.select().order_by(self.tables.plain_pk.c.id) ).first() eq_(row._mapping["id"], 1) eq_(row._mapping["data"], "d1") def test_via_int(self, connection): row = connection.execute( self.tables.plain_pk.select().order_by(self.tables.plain_pk.c.id) ).first() eq_(row[0], 1) eq_(row[1], "d1") def test_via_col_object(self, connection): row = connection.execute( self.tables.plain_pk.select().order_by(self.tables.plain_pk.c.id) ).first() eq_(row._mapping[self.tables.plain_pk.c.id], 1) eq_(row._mapping[self.tables.plain_pk.c.data], "d1") @requirements.duplicate_names_in_cursor_description def test_row_with_dupe_names(self, connection): result = connection.execute( select( self.tables.plain_pk.c.data, self.tables.plain_pk.c.data.label("data"), ).order_by(self.tables.plain_pk.c.id) ) row = result.first() eq_(result.keys(), ["data", "data"]) eq_(row, ("d1", "d1")) def test_row_w_scalar_select(self, connection): """test that a scalar select as a column is returned as such and that type conversion works OK. (this is half a SQLAlchemy Core test and half to catch database backends that may have unusual behavior with scalar selects.) """ datetable = self.tables.has_dates s = select(datetable.alias("x").c.today).scalar_subquery() s2 = select(datetable.c.id, s.label("somelabel")) row = connection.execute(s2).first() eq_(row.somelabel, datetime.datetime(2006, 5, 12, 12, 0, 0)) class PercentSchemaNamesTest(fixtures.TablesTest): """tests using percent signs, spaces in table and column names. This didn't work for PostgreSQL / MySQL drivers for a long time but is now supported. """ __requires__ = ("percent_schema_names",) __backend__ = True @classmethod def define_tables(cls, metadata): cls.tables.percent_table = Table( "percent%table", metadata, Column("percent%", Integer), Column("spaces % more spaces", Integer), ) cls.tables.lightweight_percent_table = sql.table( "percent%table", sql.column("percent%"), sql.column("spaces % more spaces"), ) def test_single_roundtrip(self, connection): percent_table = self.tables.percent_table for params in [ {"percent%": 5, "spaces % more spaces": 12}, {"percent%": 7, "spaces % more spaces": 11}, {"percent%": 9, "spaces % more spaces": 10}, {"percent%": 11, "spaces % more spaces": 9}, ]: connection.execute(percent_table.insert(), params) self._assert_table(connection) def test_executemany_roundtrip(self, connection): percent_table = self.tables.percent_table connection.execute( percent_table.insert(), {"percent%": 5, "spaces % more spaces": 12} ) connection.execute( percent_table.insert(), [ {"percent%": 7, "spaces % more spaces": 11}, {"percent%": 9, "spaces % more spaces": 10}, {"percent%": 11, "spaces % more spaces": 9}, ], ) self._assert_table(connection) @requirements.insert_executemany_returning def test_executemany_returning_roundtrip(self, connection): percent_table = self.tables.percent_table connection.execute( percent_table.insert(), {"percent%": 5, "spaces % more spaces": 12} ) result = connection.execute( percent_table.insert().returning( percent_table.c["percent%"], percent_table.c["spaces % more spaces"], ), [ {"percent%": 7, "spaces % more spaces": 11}, {"percent%": 9, "spaces % more spaces": 10}, {"percent%": 11, "spaces % more spaces": 9}, ], ) eq_(result.all(), [(7, 11), (9, 10), (11, 9)]) self._assert_table(connection) def _assert_table(self, conn): percent_table = self.tables.percent_table lightweight_percent_table = self.tables.lightweight_percent_table for table in ( percent_table, percent_table.alias(), lightweight_percent_table, lightweight_percent_table.alias(), ): eq_( list( conn.execute(table.select().order_by(table.c["percent%"])) ), [(5, 12), (7, 11), (9, 10), (11, 9)], ) eq_( list( conn.execute( table.select() .where(table.c["spaces % more spaces"].in_([9, 10])) .order_by(table.c["percent%"]) ) ), [(9, 10), (11, 9)], ) row = conn.execute( table.select().order_by(table.c["percent%"]) ).first() eq_(row._mapping["percent%"], 5) eq_(row._mapping["spaces % more spaces"], 12) eq_(row._mapping[table.c["percent%"]], 5) eq_(row._mapping[table.c["spaces % more spaces"]], 12) conn.execute( percent_table.update().values( {percent_table.c["spaces % more spaces"]: 15} ) ) eq_( list( conn.execute( percent_table.select().order_by( percent_table.c["percent%"] ) ) ), [(5, 15), (7, 15), (9, 15), (11, 15)], ) class ServerSideCursorsTest( fixtures.TestBase, testing.AssertsExecutionResults ): __requires__ = ("server_side_cursors",) __backend__ = True def _is_server_side(self, cursor): # TODO: this is a huge issue as it prevents these tests from being # usable by third party dialects. if self.engine.dialect.driver == "psycopg2": return bool(cursor.name) elif self.engine.dialect.driver == "pymysql": sscursor = __import__("pymysql.cursors").cursors.SSCursor return isinstance(cursor, sscursor) elif self.engine.dialect.driver in ("aiomysql", "asyncmy", "aioodbc"): return cursor.server_side elif self.engine.dialect.driver == "mysqldb": sscursor = __import__("MySQLdb.cursors").cursors.SSCursor return isinstance(cursor, sscursor) elif self.engine.dialect.driver == "mariadbconnector": return not cursor.buffered elif self.engine.dialect.driver in ("asyncpg", "aiosqlite"): return cursor.server_side elif self.engine.dialect.driver == "pg8000": return getattr(cursor, "server_side", False) elif self.engine.dialect.driver == "psycopg": return bool(getattr(cursor, "name", False)) elif self.engine.dialect.driver == "oracledb": return getattr(cursor, "server_side", False) else: return False def _fixture(self, server_side_cursors): if server_side_cursors: with testing.expect_deprecated( "The create_engine.server_side_cursors parameter is " "deprecated and will be removed in a future release. " "Please use the Connection.execution_options.stream_results " "parameter." ): self.engine = engines.testing_engine( options={"server_side_cursors": server_side_cursors} ) else: self.engine = engines.testing_engine( options={"server_side_cursors": server_side_cursors} ) return self.engine def stringify(self, str_): return re.compile(r"SELECT (\d+)", re.I).sub( lambda m: str(select(int(m.group(1))).compile(testing.db)), str_ ) @testing.combinations( ("global_string", True, lambda stringify: stringify("select 1"), True), ( "global_text", True, lambda stringify: text(stringify("select 1")), True, ), ("global_expr", True, select(1), True), ( "global_off_explicit", False, lambda stringify: text(stringify("select 1")), False, ), ( "stmt_option", False, select(1).execution_options(stream_results=True), True, ), ( "stmt_option_disabled", True, select(1).execution_options(stream_results=False), False, ), ("for_update_expr", True, select(1).with_for_update(), True), # TODO: need a real requirement for this, or dont use this test ( "for_update_string", True, lambda stringify: stringify("SELECT 1 FOR UPDATE"), True, testing.skip_if(["sqlite", "mssql"]), ), ( "text_no_ss", False, lambda stringify: text(stringify("select 42")), False, ), ( "text_ss_option", False, lambda stringify: text(stringify("select 42")).execution_options( stream_results=True ), True, ), id_="iaaa", argnames="engine_ss_arg, statement, cursor_ss_status", ) def test_ss_cursor_status( self, engine_ss_arg, statement, cursor_ss_status ): engine = self._fixture(engine_ss_arg) with engine.begin() as conn: if callable(statement): statement = testing.resolve_lambda( statement, stringify=self.stringify ) if isinstance(statement, str): result = conn.exec_driver_sql(statement) else: result = conn.execute(statement) eq_(self._is_server_side(result.cursor), cursor_ss_status) result.close() def test_conn_option(self): engine = self._fixture(False) with engine.connect() as conn: # should be enabled for this one result = conn.execution_options( stream_results=True ).exec_driver_sql(self.stringify("select 1")) assert self._is_server_side(result.cursor) # the connection has autobegun, which means at the end of the # block, we will roll back, which on MySQL at least will fail # with "Commands out of sync" if the result set # is not closed, so we close it first. # # fun fact! why did we not have this result.close() in this test # before 2.0? don't we roll back in the connection pool # unconditionally? yes! and in fact if you run this test in 1.4 # with stdout shown, there is in fact "Exception during reset or # similar" with "Commands out sync" emitted a warning! 2.0's # architecture finds and fixes what was previously an expensive # silent error condition. result.close() def test_stmt_enabled_conn_option_disabled(self): engine = self._fixture(False) s = select(1).execution_options(stream_results=True) with engine.connect() as conn: # not this one result = conn.execution_options(stream_results=False).execute(s) assert not self._is_server_side(result.cursor) def test_aliases_and_ss(self): engine = self._fixture(False) s1 = ( select(sql.literal_column("1").label("x")) .execution_options(stream_results=True) .subquery() ) # options don't propagate out when subquery is used as a FROM clause with engine.begin() as conn: result = conn.execute(s1.select()) assert not self._is_server_side(result.cursor) result.close() s2 = select(1).select_from(s1) with engine.begin() as conn: result = conn.execute(s2) assert not self._is_server_side(result.cursor) result.close() def test_roundtrip_fetchall(self, metadata): md = self.metadata engine = self._fixture(True) test_table = Table( "test_table", md, Column( "id", Integer, primary_key=True, test_needs_autoincrement=True ), Column("data", String(50)), ) with engine.begin() as connection: test_table.create(connection, checkfirst=True) connection.execute(test_table.insert(), dict(data="data1")) connection.execute(test_table.insert(), dict(data="data2")) eq_( connection.execute( test_table.select().order_by(test_table.c.id) ).fetchall(), [(1, "data1"), (2, "data2")], ) connection.execute( test_table.update() .where(test_table.c.id == 2) .values(data=test_table.c.data + " updated") ) eq_( connection.execute( test_table.select().order_by(test_table.c.id) ).fetchall(), [(1, "data1"), (2, "data2 updated")], ) connection.execute(test_table.delete()) eq_( connection.scalar( select(func.count("*")).select_from(test_table) ), 0, ) def test_roundtrip_fetchmany(self, metadata): md = self.metadata engine = self._fixture(True) test_table = Table( "test_table", md, Column( "id", Integer, primary_key=True, test_needs_autoincrement=True ), Column("data", String(50)), ) with engine.begin() as connection: test_table.create(connection, checkfirst=True) connection.execute( test_table.insert(), [dict(data="data%d" % i) for i in range(1, 20)], ) result = connection.execute( test_table.select().order_by(test_table.c.id) ) eq_( result.fetchmany(5), [(i, "data%d" % i) for i in range(1, 6)], ) eq_( result.fetchmany(10), [(i, "data%d" % i) for i in range(6, 16)], ) eq_(result.fetchall(), [(i, "data%d" % i) for i in range(16, 20)])