631 lines
18 KiB
Python
631 lines
18 KiB
Python
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# testing/suite/test_insert.py
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# Copyright (C) 2005-2025 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: https://www.opensource.org/licenses/mit-license.php
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# mypy: ignore-errors
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from decimal import Decimal
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import uuid
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from . import testing
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from .. import fixtures
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from ..assertions import eq_
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from ..config import requirements
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from ..schema import Column
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from ..schema import Table
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from ... import Double
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from ... import Float
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from ... import Identity
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from ... import Integer
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from ... import literal
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from ... import literal_column
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from ... import Numeric
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from ... import select
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from ... import String
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from ...types import LargeBinary
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from ...types import UUID
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from ...types import Uuid
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class LastrowidTest(fixtures.TablesTest):
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run_deletes = "each"
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__backend__ = True
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__requires__ = "implements_get_lastrowid", "autoincrement_insert"
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@classmethod
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def define_tables(cls, metadata):
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Table(
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"autoinc_pk",
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metadata,
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Column(
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"id", Integer, primary_key=True, test_needs_autoincrement=True
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),
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Column("data", String(50)),
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implicit_returning=False,
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)
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Table(
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"manual_pk",
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metadata,
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Column("id", Integer, primary_key=True, autoincrement=False),
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Column("data", String(50)),
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implicit_returning=False,
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)
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def _assert_round_trip(self, table, conn):
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row = conn.execute(table.select()).first()
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eq_(
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row,
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(
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conn.dialect.default_sequence_base,
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"some data",
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),
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)
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def test_autoincrement_on_insert(self, connection):
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connection.execute(
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self.tables.autoinc_pk.insert(), dict(data="some data")
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)
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self._assert_round_trip(self.tables.autoinc_pk, connection)
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def test_last_inserted_id(self, connection):
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r = connection.execute(
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self.tables.autoinc_pk.insert(), dict(data="some data")
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)
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pk = connection.scalar(select(self.tables.autoinc_pk.c.id))
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eq_(r.inserted_primary_key, (pk,))
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@requirements.dbapi_lastrowid
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def test_native_lastrowid_autoinc(self, connection):
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r = connection.execute(
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self.tables.autoinc_pk.insert(), dict(data="some data")
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)
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lastrowid = r.lastrowid
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pk = connection.scalar(select(self.tables.autoinc_pk.c.id))
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eq_(lastrowid, pk)
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class InsertBehaviorTest(fixtures.TablesTest):
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run_deletes = "each"
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__backend__ = True
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@classmethod
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def define_tables(cls, metadata):
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Table(
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"autoinc_pk",
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metadata,
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Column(
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"id", Integer, primary_key=True, test_needs_autoincrement=True
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),
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Column("data", String(50)),
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)
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Table(
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"manual_pk",
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metadata,
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Column("id", Integer, primary_key=True, autoincrement=False),
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Column("data", String(50)),
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)
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Table(
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"no_implicit_returning",
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metadata,
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Column(
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"id", Integer, primary_key=True, test_needs_autoincrement=True
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),
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Column("data", String(50)),
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implicit_returning=False,
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)
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Table(
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"includes_defaults",
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metadata,
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Column(
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"id", Integer, primary_key=True, test_needs_autoincrement=True
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),
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Column("data", String(50)),
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Column("x", Integer, default=5),
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Column(
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"y",
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Integer,
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default=literal_column("2", type_=Integer) + literal(2),
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),
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)
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@testing.variation("style", ["plain", "return_defaults"])
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@testing.variation("executemany", [True, False])
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def test_no_results_for_non_returning_insert(
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self, connection, style, executemany
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):
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"""test another INSERT issue found during #10453"""
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table = self.tables.no_implicit_returning
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stmt = table.insert()
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if style.return_defaults:
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stmt = stmt.return_defaults()
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if executemany:
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data = [
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{"data": "d1"},
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{"data": "d2"},
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{"data": "d3"},
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{"data": "d4"},
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{"data": "d5"},
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]
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else:
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data = {"data": "d1"}
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r = connection.execute(stmt, data)
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assert not r.returns_rows
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@requirements.autoincrement_insert
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def test_autoclose_on_insert(self, connection):
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r = connection.execute(
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self.tables.autoinc_pk.insert(), dict(data="some data")
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)
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assert r._soft_closed
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assert not r.closed
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assert r.is_insert
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# new as of I8091919d45421e3f53029b8660427f844fee0228; for the moment
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# an insert where the PK was taken from a row that the dialect
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# selected, as is the case for mssql/pyodbc, will still report
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# returns_rows as true because there's a cursor description. in that
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# case, the row had to have been consumed at least.
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assert not r.returns_rows or r.fetchone() is None
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@requirements.insert_returning
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def test_autoclose_on_insert_implicit_returning(self, connection):
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r = connection.execute(
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# return_defaults() ensures RETURNING will be used,
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# new in 2.0 as sqlite/mariadb offer both RETURNING and
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# cursor.lastrowid
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self.tables.autoinc_pk.insert().return_defaults(),
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dict(data="some data"),
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)
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assert r._soft_closed
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assert not r.closed
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assert r.is_insert
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# note we are experimenting with having this be True
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# as of I8091919d45421e3f53029b8660427f844fee0228 .
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# implicit returning has fetched the row, but it still is a
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# "returns rows"
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assert r.returns_rows
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# and we should be able to fetchone() on it, we just get no row
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eq_(r.fetchone(), None)
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# and the keys, etc.
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eq_(r.keys(), ["id"])
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# but the dialect took in the row already. not really sure
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# what the best behavior is.
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@requirements.empty_inserts
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def test_empty_insert(self, connection):
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r = connection.execute(self.tables.autoinc_pk.insert())
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assert r._soft_closed
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assert not r.closed
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r = connection.execute(
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self.tables.autoinc_pk.select().where(
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self.tables.autoinc_pk.c.id != None
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)
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)
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eq_(len(r.all()), 1)
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@requirements.empty_inserts_executemany
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def test_empty_insert_multiple(self, connection):
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r = connection.execute(self.tables.autoinc_pk.insert(), [{}, {}, {}])
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assert r._soft_closed
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assert not r.closed
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r = connection.execute(
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self.tables.autoinc_pk.select().where(
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self.tables.autoinc_pk.c.id != None
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)
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)
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eq_(len(r.all()), 3)
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@requirements.insert_from_select
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def test_insert_from_select_autoinc(self, connection):
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src_table = self.tables.manual_pk
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dest_table = self.tables.autoinc_pk
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connection.execute(
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src_table.insert(),
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[
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dict(id=1, data="data1"),
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dict(id=2, data="data2"),
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dict(id=3, data="data3"),
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],
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)
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result = connection.execute(
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dest_table.insert().from_select(
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("data",),
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select(src_table.c.data).where(
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src_table.c.data.in_(["data2", "data3"])
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),
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)
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)
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eq_(result.inserted_primary_key, (None,))
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result = connection.execute(
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select(dest_table.c.data).order_by(dest_table.c.data)
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)
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eq_(result.fetchall(), [("data2",), ("data3",)])
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@requirements.insert_from_select
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def test_insert_from_select_autoinc_no_rows(self, connection):
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src_table = self.tables.manual_pk
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dest_table = self.tables.autoinc_pk
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result = connection.execute(
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dest_table.insert().from_select(
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("data",),
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select(src_table.c.data).where(
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src_table.c.data.in_(["data2", "data3"])
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),
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)
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)
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eq_(result.inserted_primary_key, (None,))
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result = connection.execute(
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select(dest_table.c.data).order_by(dest_table.c.data)
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)
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eq_(result.fetchall(), [])
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@requirements.insert_from_select
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def test_insert_from_select(self, connection):
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table = self.tables.manual_pk
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connection.execute(
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table.insert(),
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[
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dict(id=1, data="data1"),
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dict(id=2, data="data2"),
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dict(id=3, data="data3"),
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],
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)
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connection.execute(
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table.insert()
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.inline()
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.from_select(
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("id", "data"),
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select(table.c.id + 5, table.c.data).where(
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table.c.data.in_(["data2", "data3"])
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),
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)
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)
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eq_(
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connection.execute(
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select(table.c.data).order_by(table.c.data)
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).fetchall(),
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[("data1",), ("data2",), ("data2",), ("data3",), ("data3",)],
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)
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@requirements.insert_from_select
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def test_insert_from_select_with_defaults(self, connection):
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table = self.tables.includes_defaults
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connection.execute(
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table.insert(),
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[
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dict(id=1, data="data1"),
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dict(id=2, data="data2"),
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dict(id=3, data="data3"),
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],
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)
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connection.execute(
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table.insert()
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.inline()
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.from_select(
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("id", "data"),
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select(table.c.id + 5, table.c.data).where(
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table.c.data.in_(["data2", "data3"])
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),
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)
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)
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|
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eq_(
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connection.execute(
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select(table).order_by(table.c.data, table.c.id)
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).fetchall(),
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[
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(1, "data1", 5, 4),
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(2, "data2", 5, 4),
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(7, "data2", 5, 4),
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(3, "data3", 5, 4),
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(8, "data3", 5, 4),
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],
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)
|
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|
|
|
||
|
|
|
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|
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class ReturningTest(fixtures.TablesTest):
|
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|
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run_create_tables = "each"
|
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|
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__requires__ = "insert_returning", "autoincrement_insert"
|
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|
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__backend__ = True
|
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|
|
|
||
|
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def _assert_round_trip(self, table, conn):
|
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|
|
row = conn.execute(table.select()).first()
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||
|
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eq_(
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|
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row,
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||
|
|
(
|
||
|
|
conn.dialect.default_sequence_base,
|
||
|
|
"some data",
|
||
|
|
),
|
||
|
|
)
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
def define_tables(cls, metadata):
|
||
|
|
Table(
|
||
|
|
"autoinc_pk",
|
||
|
|
metadata,
|
||
|
|
Column(
|
||
|
|
"id", Integer, primary_key=True, test_needs_autoincrement=True
|
||
|
|
),
|
||
|
|
Column("data", String(50)),
|
||
|
|
)
|
||
|
|
|
||
|
|
@requirements.fetch_rows_post_commit
|
||
|
|
def test_explicit_returning_pk_autocommit(self, connection):
|
||
|
|
table = self.tables.autoinc_pk
|
||
|
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r = connection.execute(
|
||
|
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table.insert().returning(table.c.id), dict(data="some data")
|
||
|
|
)
|
||
|
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pk = r.first()[0]
|
||
|
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fetched_pk = connection.scalar(select(table.c.id))
|
||
|
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eq_(fetched_pk, pk)
|
||
|
|
|
||
|
|
def test_explicit_returning_pk_no_autocommit(self, connection):
|
||
|
|
table = self.tables.autoinc_pk
|
||
|
|
r = connection.execute(
|
||
|
|
table.insert().returning(table.c.id), dict(data="some data")
|
||
|
|
)
|
||
|
|
|
||
|
|
pk = r.first()[0]
|
||
|
|
fetched_pk = connection.scalar(select(table.c.id))
|
||
|
|
eq_(fetched_pk, pk)
|
||
|
|
|
||
|
|
def test_autoincrement_on_insert_implicit_returning(self, connection):
|
||
|
|
connection.execute(
|
||
|
|
self.tables.autoinc_pk.insert(), dict(data="some data")
|
||
|
|
)
|
||
|
|
self._assert_round_trip(self.tables.autoinc_pk, connection)
|
||
|
|
|
||
|
|
def test_last_inserted_id_implicit_returning(self, connection):
|
||
|
|
r = connection.execute(
|
||
|
|
self.tables.autoinc_pk.insert(), dict(data="some data")
|
||
|
|
)
|
||
|
|
pk = connection.scalar(select(self.tables.autoinc_pk.c.id))
|
||
|
|
eq_(r.inserted_primary_key, (pk,))
|
||
|
|
|
||
|
|
@requirements.insert_executemany_returning
|
||
|
|
def test_insertmanyvalues_returning(self, connection):
|
||
|
|
r = connection.execute(
|
||
|
|
self.tables.autoinc_pk.insert().returning(
|
||
|
|
self.tables.autoinc_pk.c.id
|
||
|
|
),
|
||
|
|
[
|
||
|
|
{"data": "d1"},
|
||
|
|
{"data": "d2"},
|
||
|
|
{"data": "d3"},
|
||
|
|
{"data": "d4"},
|
||
|
|
{"data": "d5"},
|
||
|
|
],
|
||
|
|
)
|
||
|
|
rall = r.all()
|
||
|
|
|
||
|
|
pks = connection.execute(select(self.tables.autoinc_pk.c.id))
|
||
|
|
|
||
|
|
eq_(rall, pks.all())
|
||
|
|
|
||
|
|
@testing.combinations(
|
||
|
|
(Double(), 8.5514716, True),
|
||
|
|
(
|
||
|
|
Double(53),
|
||
|
|
8.5514716,
|
||
|
|
True,
|
||
|
|
testing.requires.float_or_double_precision_behaves_generically,
|
||
|
|
),
|
||
|
|
(Float(), 8.5514, True),
|
||
|
|
(
|
||
|
|
Float(8),
|
||
|
|
8.5514,
|
||
|
|
True,
|
||
|
|
testing.requires.float_or_double_precision_behaves_generically,
|
||
|
|
),
|
||
|
|
(
|
||
|
|
Numeric(precision=15, scale=12, asdecimal=False),
|
||
|
|
8.5514716,
|
||
|
|
True,
|
||
|
|
testing.requires.literal_float_coercion,
|
||
|
|
),
|
||
|
|
(
|
||
|
|
Numeric(precision=15, scale=12, asdecimal=True),
|
||
|
|
Decimal("8.5514716"),
|
||
|
|
False,
|
||
|
|
),
|
||
|
|
argnames="type_,value,do_rounding",
|
||
|
|
)
|
||
|
|
@testing.variation("sort_by_parameter_order", [True, False])
|
||
|
|
@testing.variation("multiple_rows", [True, False])
|
||
|
|
def test_insert_w_floats(
|
||
|
|
self,
|
||
|
|
connection,
|
||
|
|
metadata,
|
||
|
|
sort_by_parameter_order,
|
||
|
|
type_,
|
||
|
|
value,
|
||
|
|
do_rounding,
|
||
|
|
multiple_rows,
|
||
|
|
):
|
||
|
|
"""test #9701.
|
||
|
|
|
||
|
|
this tests insertmanyvalues as well as decimal / floating point
|
||
|
|
RETURNING types
|
||
|
|
|
||
|
|
"""
|
||
|
|
|
||
|
|
t = Table(
|
||
|
|
# Oracle backends seems to be getting confused if
|
||
|
|
# this table is named the same as the one
|
||
|
|
# in test_imv_returning_datatypes. use a different name
|
||
|
|
"f_t",
|
||
|
|
metadata,
|
||
|
|
Column("id", Integer, Identity(), primary_key=True),
|
||
|
|
Column("value", type_),
|
||
|
|
)
|
||
|
|
|
||
|
|
t.create(connection)
|
||
|
|
|
||
|
|
result = connection.execute(
|
||
|
|
t.insert().returning(
|
||
|
|
t.c.id,
|
||
|
|
t.c.value,
|
||
|
|
sort_by_parameter_order=bool(sort_by_parameter_order),
|
||
|
|
),
|
||
|
|
(
|
||
|
|
[{"value": value} for i in range(10)]
|
||
|
|
if multiple_rows
|
||
|
|
else {"value": value}
|
||
|
|
),
|
||
|
|
)
|
||
|
|
|
||
|
|
if multiple_rows:
|
||
|
|
i_range = range(1, 11)
|
||
|
|
else:
|
||
|
|
i_range = range(1, 2)
|
||
|
|
|
||
|
|
# we want to test only that we are getting floating points back
|
||
|
|
# with some degree of the original value maintained, that it is not
|
||
|
|
# being truncated to an integer. there's too much variation in how
|
||
|
|
# drivers return floats, which should not be relied upon to be
|
||
|
|
# exact, for us to just compare as is (works for PG drivers but not
|
||
|
|
# others) so we use rounding here. There's precedent for this
|
||
|
|
# in suite/test_types.py::NumericTest as well
|
||
|
|
|
||
|
|
if do_rounding:
|
||
|
|
eq_(
|
||
|
|
{(id_, round(val_, 5)) for id_, val_ in result},
|
||
|
|
{(id_, round(value, 5)) for id_ in i_range},
|
||
|
|
)
|
||
|
|
|
||
|
|
eq_(
|
||
|
|
{
|
||
|
|
round(val_, 5)
|
||
|
|
for val_ in connection.scalars(select(t.c.value))
|
||
|
|
},
|
||
|
|
{round(value, 5)},
|
||
|
|
)
|
||
|
|
else:
|
||
|
|
eq_(
|
||
|
|
set(result),
|
||
|
|
{(id_, value) for id_ in i_range},
|
||
|
|
)
|
||
|
|
|
||
|
|
eq_(
|
||
|
|
set(connection.scalars(select(t.c.value))),
|
||
|
|
{value},
|
||
|
|
)
|
||
|
|
|
||
|
|
@testing.combinations(
|
||
|
|
(
|
||
|
|
"non_native_uuid",
|
||
|
|
Uuid(native_uuid=False),
|
||
|
|
uuid.uuid4(),
|
||
|
|
),
|
||
|
|
(
|
||
|
|
"non_native_uuid_str",
|
||
|
|
Uuid(as_uuid=False, native_uuid=False),
|
||
|
|
str(uuid.uuid4()),
|
||
|
|
),
|
||
|
|
(
|
||
|
|
"generic_native_uuid",
|
||
|
|
Uuid(native_uuid=True),
|
||
|
|
uuid.uuid4(),
|
||
|
|
testing.requires.uuid_data_type,
|
||
|
|
),
|
||
|
|
(
|
||
|
|
"generic_native_uuid_str",
|
||
|
|
Uuid(as_uuid=False, native_uuid=True),
|
||
|
|
str(uuid.uuid4()),
|
||
|
|
testing.requires.uuid_data_type,
|
||
|
|
),
|
||
|
|
("UUID", UUID(), uuid.uuid4(), testing.requires.uuid_data_type),
|
||
|
|
(
|
||
|
|
"LargeBinary1",
|
||
|
|
LargeBinary(),
|
||
|
|
b"this is binary",
|
||
|
|
),
|
||
|
|
("LargeBinary2", LargeBinary(), b"7\xe7\x9f"),
|
||
|
|
argnames="type_,value",
|
||
|
|
id_="iaa",
|
||
|
|
)
|
||
|
|
@testing.variation("sort_by_parameter_order", [True, False])
|
||
|
|
@testing.variation("multiple_rows", [True, False])
|
||
|
|
@testing.requires.insert_returning
|
||
|
|
def test_imv_returning_datatypes(
|
||
|
|
self,
|
||
|
|
connection,
|
||
|
|
metadata,
|
||
|
|
sort_by_parameter_order,
|
||
|
|
type_,
|
||
|
|
value,
|
||
|
|
multiple_rows,
|
||
|
|
):
|
||
|
|
"""test #9739, #9808 (similar to #9701).
|
||
|
|
|
||
|
|
this tests insertmanyvalues in conjunction with various datatypes.
|
||
|
|
|
||
|
|
These tests are particularly for the asyncpg driver which needs
|
||
|
|
most types to be explicitly cast for the new IMV format
|
||
|
|
|
||
|
|
"""
|
||
|
|
t = Table(
|
||
|
|
"d_t",
|
||
|
|
metadata,
|
||
|
|
Column("id", Integer, Identity(), primary_key=True),
|
||
|
|
Column("value", type_),
|
||
|
|
)
|
||
|
|
|
||
|
|
t.create(connection)
|
||
|
|
|
||
|
|
result = connection.execute(
|
||
|
|
t.insert().returning(
|
||
|
|
t.c.id,
|
||
|
|
t.c.value,
|
||
|
|
sort_by_parameter_order=bool(sort_by_parameter_order),
|
||
|
|
),
|
||
|
|
(
|
||
|
|
[{"value": value} for i in range(10)]
|
||
|
|
if multiple_rows
|
||
|
|
else {"value": value}
|
||
|
|
),
|
||
|
|
)
|
||
|
|
|
||
|
|
if multiple_rows:
|
||
|
|
i_range = range(1, 11)
|
||
|
|
else:
|
||
|
|
i_range = range(1, 2)
|
||
|
|
|
||
|
|
eq_(
|
||
|
|
set(result),
|
||
|
|
{(id_, value) for id_ in i_range},
|
||
|
|
)
|
||
|
|
|
||
|
|
eq_(
|
||
|
|
set(connection.scalars(select(t.c.value))),
|
||
|
|
{value},
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
__all__ = ("LastrowidTest", "InsertBehaviorTest", "ReturningTest")
|