mirror of
https://github.com/sqlalchemy/sqlalchemy.git
synced 2026-05-19 23:21:57 -04:00
afcab5edf6
Implemented support for "table valued functions" along with additional syntaxes supported by PostgreSQL, one of the most commonly requested features. Table valued functions are SQL functions that return lists of values or rows, and are prevalent in PostgreSQL in the area of JSON functions, where the "table value" is commonly referred towards as the "record" datatype. Table valued functions are also supported by Oracle and SQL Server. Moved from I5b093b72533ef695293e737eb75850b9713e5e03 due to accidental push Fixes: #3566 Change-Id: Iea36d04c80a5ed3509dcdd9ebf0701687143fef5
1334 lines
42 KiB
Python
1334 lines
42 KiB
Python
# coding: utf-8
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import datetime
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from sqlalchemy import and_
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from sqlalchemy import cast
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from sqlalchemy import Column
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from sqlalchemy import Date
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from sqlalchemy import DateTime
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from sqlalchemy import exc
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from sqlalchemy import extract
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from sqlalchemy import Float
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from sqlalchemy import ForeignKey
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from sqlalchemy import func
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from sqlalchemy import Integer
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from sqlalchemy import literal
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from sqlalchemy import literal_column
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from sqlalchemy import MetaData
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from sqlalchemy import or_
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from sqlalchemy import select
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from sqlalchemy import Sequence
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from sqlalchemy import String
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from sqlalchemy import Table
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from sqlalchemy import testing
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from sqlalchemy import text
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from sqlalchemy import Time
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from sqlalchemy import true
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from sqlalchemy import tuple_
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from sqlalchemy.dialects import postgresql
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.testing import assert_raises
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from sqlalchemy.testing import AssertsCompiledSQL
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from sqlalchemy.testing import AssertsExecutionResults
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from sqlalchemy.testing import engines
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from sqlalchemy.testing import eq_
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from sqlalchemy.testing import expect_warnings
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from sqlalchemy.testing import fixtures
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from sqlalchemy.testing.assertsql import CursorSQL
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from sqlalchemy.testing.assertsql import DialectSQL
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class InsertTest(fixtures.TestBase, AssertsExecutionResults):
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__only_on__ = "postgresql"
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__backend__ = True
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def setup_test(self):
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self.metadata = MetaData()
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def teardown_test(self):
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with testing.db.begin() as conn:
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self.metadata.drop_all(conn)
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@testing.combinations((False,), (True,))
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def test_foreignkey_missing_insert(self, implicit_returning):
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engine = engines.testing_engine(
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options={"implicit_returning": implicit_returning}
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)
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Table("t1", self.metadata, Column("id", Integer, primary_key=True))
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t2 = Table(
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"t2",
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self.metadata,
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Column("id", Integer, ForeignKey("t1.id"), primary_key=True),
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)
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self.metadata.create_all(engine)
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# want to ensure that "null value in column "id" violates not-
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# null constraint" is raised (IntegrityError on psycoopg2, but
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# ProgrammingError on pg8000), and not "ProgrammingError:
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# (ProgrammingError) relationship "t2_id_seq" does not exist".
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# the latter corresponds to autoincrement behavior, which is not
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# the case here due to the foreign key.
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with expect_warnings(".*has no Python-side or server-side default.*"):
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with engine.begin() as conn:
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assert_raises(
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(exc.IntegrityError, exc.ProgrammingError),
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conn.execute,
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t2.insert(),
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)
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def test_sequence_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column("id", Integer, Sequence("my_seq"), primary_key=True),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_with_sequence(table, "my_seq")
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@testing.requires.returning
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def test_sequence_returning_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column("id", Integer, Sequence("my_seq"), primary_key=True),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_with_sequence_returning(table, "my_seq")
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def test_opt_sequence_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column(
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"id",
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Integer,
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Sequence("my_seq", optional=True),
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primary_key=True,
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),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_autoincrement(table)
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@testing.requires.returning
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def test_opt_sequence_returning_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column(
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"id",
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Integer,
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Sequence("my_seq", optional=True),
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primary_key=True,
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),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_autoincrement_returning(table)
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def test_autoincrement_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column("id", Integer, primary_key=True),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_autoincrement(table)
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@testing.requires.returning
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def test_autoincrement_returning_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column("id", Integer, primary_key=True),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_autoincrement_returning(table)
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def test_noautoincrement_insert(self):
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table = Table(
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"testtable",
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self.metadata,
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Column("id", Integer, primary_key=True, autoincrement=False),
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Column("data", String(30)),
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)
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self.metadata.create_all(testing.db)
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self._assert_data_noautoincrement(table)
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def _assert_data_autoincrement(self, table):
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engine = engines.testing_engine(options={"implicit_returning": False})
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with self.sql_execution_asserter(engine) as asserter:
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with engine.begin() as conn:
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# execute with explicit id
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r = conn.execute(table.insert(), {"id": 30, "data": "d1"})
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eq_(r.inserted_primary_key, (30,))
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# execute with prefetch id
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r = conn.execute(table.insert(), {"data": "d2"})
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eq_(r.inserted_primary_key, (1,))
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# executemany with explicit ids
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conn.execute(
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table.insert(),
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[
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{"id": 31, "data": "d3"},
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{"id": 32, "data": "d4"},
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],
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)
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# executemany, uses SERIAL
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conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
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# single execute, explicit id, inline
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conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
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# single execute, inline, uses SERIAL
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conn.execute(table.insert().inline(), {"data": "d8"})
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asserter.assert_(
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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{"id": 30, "data": "d1"},
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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{"id": 1, "data": "d2"},
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data)",
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[{"data": "d5"}, {"data": "d6"}],
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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[{"id": 33, "data": "d7"}],
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
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),
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)
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with engine.begin() as conn:
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eq_(
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conn.execute(table.select()).fetchall(),
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[
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(30, "d1"),
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(1, "d2"),
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(31, "d3"),
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(32, "d4"),
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(2, "d5"),
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(3, "d6"),
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(33, "d7"),
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(4, "d8"),
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],
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)
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conn.execute(table.delete())
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# test the same series of events using a reflected version of
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# the table
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m2 = MetaData()
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table = Table(table.name, m2, autoload_with=engine)
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with self.sql_execution_asserter(engine) as asserter:
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with engine.begin() as conn:
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conn.execute(table.insert(), {"id": 30, "data": "d1"})
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r = conn.execute(table.insert(), {"data": "d2"})
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eq_(r.inserted_primary_key, (5,))
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conn.execute(
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table.insert(),
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[
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{"id": 31, "data": "d3"},
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{"id": 32, "data": "d4"},
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],
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)
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conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
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conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
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conn.execute(table.insert().inline(), {"data": "d8"})
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asserter.assert_(
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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{"id": 30, "data": "d1"},
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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{"id": 5, "data": "d2"},
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data)",
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[{"data": "d5"}, {"data": "d6"}],
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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[{"id": 33, "data": "d7"}],
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
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),
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)
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with engine.begin() as conn:
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eq_(
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conn.execute(table.select()).fetchall(),
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[
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(30, "d1"),
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(5, "d2"),
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(31, "d3"),
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(32, "d4"),
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(6, "d5"),
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(7, "d6"),
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(33, "d7"),
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(8, "d8"),
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],
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)
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conn.execute(table.delete())
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def _assert_data_autoincrement_returning(self, table):
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engine = engines.testing_engine(options={"implicit_returning": True})
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with self.sql_execution_asserter(engine) as asserter:
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with engine.begin() as conn:
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# execute with explicit id
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r = conn.execute(table.insert(), {"id": 30, "data": "d1"})
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eq_(r.inserted_primary_key, (30,))
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# execute with prefetch id
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r = conn.execute(table.insert(), {"data": "d2"})
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eq_(r.inserted_primary_key, (1,))
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# executemany with explicit ids
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conn.execute(
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table.insert(),
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[
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{"id": 31, "data": "d3"},
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{"id": 32, "data": "d4"},
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],
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)
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# executemany, uses SERIAL
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conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
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# single execute, explicit id, inline
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conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
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# single execute, inline, uses SERIAL
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conn.execute(table.insert().inline(), {"data": "d8"})
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asserter.assert_(
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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{"id": 30, "data": "d1"},
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data) RETURNING "
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"testtable.id",
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{"data": "d2"},
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data)",
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[{"data": "d5"}, {"data": "d6"}],
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),
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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[{"id": 33, "data": "d7"}],
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),
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
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),
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)
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with engine.begin() as conn:
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eq_(
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conn.execute(table.select()).fetchall(),
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[
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(30, "d1"),
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(1, "d2"),
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(31, "d3"),
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(32, "d4"),
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(2, "d5"),
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(3, "d6"),
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(33, "d7"),
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(4, "d8"),
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],
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)
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conn.execute(table.delete())
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# test the same series of events using a reflected version of
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# the table
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m2 = MetaData()
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table = Table(table.name, m2, autoload_with=engine)
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with self.sql_execution_asserter(engine) as asserter:
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with engine.begin() as conn:
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conn.execute(table.insert(), {"id": 30, "data": "d1"})
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r = conn.execute(table.insert(), {"data": "d2"})
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eq_(r.inserted_primary_key, (5,))
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conn.execute(
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table.insert(),
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[
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{"id": 31, "data": "d3"},
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{"id": 32, "data": "d4"},
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],
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)
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conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
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conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
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conn.execute(table.insert().inline(), {"data": "d8"})
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asserter.assert_(
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DialectSQL(
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
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{"id": 30, "data": "d1"},
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),
|
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DialectSQL(
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"INSERT INTO testtable (data) VALUES (:data) RETURNING "
|
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"testtable.id",
|
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{"data": "d2"},
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),
|
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DialectSQL(
|
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
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[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
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),
|
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DialectSQL(
|
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"INSERT INTO testtable (data) VALUES (:data)",
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[{"data": "d5"}, {"data": "d6"}],
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),
|
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DialectSQL(
|
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
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[{"id": 33, "data": "d7"}],
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),
|
|
DialectSQL(
|
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"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
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),
|
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)
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|
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with engine.begin() as conn:
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eq_(
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conn.execute(table.select()).fetchall(),
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[
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(30, "d1"),
|
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(5, "d2"),
|
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(31, "d3"),
|
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(32, "d4"),
|
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(6, "d5"),
|
|
(7, "d6"),
|
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(33, "d7"),
|
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(8, "d8"),
|
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],
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)
|
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conn.execute(table.delete())
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|
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def _assert_data_with_sequence(self, table, seqname):
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engine = engines.testing_engine(options={"implicit_returning": False})
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|
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with self.sql_execution_asserter(engine) as asserter:
|
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with engine.begin() as conn:
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conn.execute(table.insert(), {"id": 30, "data": "d1"})
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conn.execute(table.insert(), {"data": "d2"})
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conn.execute(
|
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table.insert(),
|
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[
|
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{"id": 31, "data": "d3"},
|
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{"id": 32, "data": "d4"},
|
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],
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)
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conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
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conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
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conn.execute(table.insert().inline(), {"data": "d8"})
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asserter.assert_(
|
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DialectSQL(
|
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"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
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{"id": 30, "data": "d1"},
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),
|
|
CursorSQL("select nextval('my_seq')", consume_statement=False),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
|
{"id": 1, "data": "d2"},
|
|
),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
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[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
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),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (nextval('%s'), "
|
|
":data)" % seqname,
|
|
[{"data": "d5"}, {"data": "d6"}],
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),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
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[{"id": 33, "data": "d7"}],
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),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (nextval('%s'), "
|
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":data)" % seqname,
|
|
[{"data": "d8"}],
|
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),
|
|
)
|
|
with engine.begin() as conn:
|
|
eq_(
|
|
conn.execute(table.select()).fetchall(),
|
|
[
|
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(30, "d1"),
|
|
(1, "d2"),
|
|
(31, "d3"),
|
|
(32, "d4"),
|
|
(2, "d5"),
|
|
(3, "d6"),
|
|
(33, "d7"),
|
|
(4, "d8"),
|
|
],
|
|
)
|
|
|
|
# cant test reflection here since the Sequence must be
|
|
# explicitly specified
|
|
|
|
def _assert_data_with_sequence_returning(self, table, seqname):
|
|
engine = engines.testing_engine(options={"implicit_returning": True})
|
|
|
|
with self.sql_execution_asserter(engine) as asserter:
|
|
with engine.begin() as conn:
|
|
conn.execute(table.insert(), {"id": 30, "data": "d1"})
|
|
conn.execute(table.insert(), {"data": "d2"})
|
|
conn.execute(
|
|
table.insert(),
|
|
[
|
|
{"id": 31, "data": "d3"},
|
|
{"id": 32, "data": "d4"},
|
|
],
|
|
)
|
|
conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
|
|
conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
|
|
conn.execute(table.insert().inline(), {"data": "d8"})
|
|
|
|
asserter.assert_(
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
|
{"id": 30, "data": "d1"},
|
|
),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES "
|
|
"(nextval('my_seq'), :data) RETURNING testtable.id",
|
|
{"data": "d2"},
|
|
),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
|
[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
|
|
),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (nextval('%s'), "
|
|
":data)" % seqname,
|
|
[{"data": "d5"}, {"data": "d6"}],
|
|
),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
|
|
[{"id": 33, "data": "d7"}],
|
|
),
|
|
DialectSQL(
|
|
"INSERT INTO testtable (id, data) VALUES (nextval('%s'), "
|
|
":data)" % seqname,
|
|
[{"data": "d8"}],
|
|
),
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
eq_(
|
|
conn.execute(table.select()).fetchall(),
|
|
[
|
|
(30, "d1"),
|
|
(1, "d2"),
|
|
(31, "d3"),
|
|
(32, "d4"),
|
|
(2, "d5"),
|
|
(3, "d6"),
|
|
(33, "d7"),
|
|
(4, "d8"),
|
|
],
|
|
)
|
|
|
|
# cant test reflection here since the Sequence must be
|
|
# explicitly specified
|
|
|
|
def _assert_data_noautoincrement(self, table):
|
|
engine = engines.testing_engine(options={"implicit_returning": False})
|
|
|
|
# turning off the cache because we are checking for compile-time
|
|
# warnings
|
|
engine = engine.execution_options(compiled_cache=None)
|
|
|
|
with engine.begin() as conn:
|
|
conn.execute(table.insert(), {"id": 30, "data": "d1"})
|
|
|
|
with engine.begin() as conn:
|
|
with expect_warnings(
|
|
".*has no Python-side or server-side default.*"
|
|
):
|
|
assert_raises(
|
|
(exc.IntegrityError, exc.ProgrammingError),
|
|
conn.execute,
|
|
table.insert(),
|
|
{"data": "d2"},
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
with expect_warnings(
|
|
".*has no Python-side or server-side default.*"
|
|
):
|
|
assert_raises(
|
|
(exc.IntegrityError, exc.ProgrammingError),
|
|
conn.execute,
|
|
table.insert(),
|
|
[{"data": "d2"}, {"data": "d3"}],
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
with expect_warnings(
|
|
".*has no Python-side or server-side default.*"
|
|
):
|
|
assert_raises(
|
|
(exc.IntegrityError, exc.ProgrammingError),
|
|
conn.execute,
|
|
table.insert(),
|
|
{"data": "d2"},
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
with expect_warnings(
|
|
".*has no Python-side or server-side default.*"
|
|
):
|
|
assert_raises(
|
|
(exc.IntegrityError, exc.ProgrammingError),
|
|
conn.execute,
|
|
table.insert(),
|
|
[{"data": "d2"}, {"data": "d3"}],
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
conn.execute(
|
|
table.insert(),
|
|
[{"id": 31, "data": "d2"}, {"id": 32, "data": "d3"}],
|
|
)
|
|
conn.execute(table.insert().inline(), {"id": 33, "data": "d4"})
|
|
eq_(
|
|
conn.execute(table.select()).fetchall(),
|
|
[(30, "d1"), (31, "d2"), (32, "d3"), (33, "d4")],
|
|
)
|
|
conn.execute(table.delete())
|
|
|
|
# test the same series of events using a reflected version of
|
|
# the table
|
|
|
|
m2 = MetaData()
|
|
table = Table(table.name, m2, autoload_with=engine)
|
|
with engine.begin() as conn:
|
|
conn.execute(table.insert(), {"id": 30, "data": "d1"})
|
|
|
|
with engine.begin() as conn:
|
|
with expect_warnings(
|
|
".*has no Python-side or server-side default.*"
|
|
):
|
|
assert_raises(
|
|
(exc.IntegrityError, exc.ProgrammingError),
|
|
conn.execute,
|
|
table.insert(),
|
|
{"data": "d2"},
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
with expect_warnings(
|
|
".*has no Python-side or server-side default.*"
|
|
):
|
|
assert_raises(
|
|
(exc.IntegrityError, exc.ProgrammingError),
|
|
conn.execute,
|
|
table.insert(),
|
|
[{"data": "d2"}, {"data": "d3"}],
|
|
)
|
|
|
|
with engine.begin() as conn:
|
|
conn.execute(
|
|
table.insert(),
|
|
[{"id": 31, "data": "d2"}, {"id": 32, "data": "d3"}],
|
|
)
|
|
conn.execute(table.insert().inline(), {"id": 33, "data": "d4"})
|
|
eq_(
|
|
conn.execute(table.select()).fetchall(),
|
|
[(30, "d1"), (31, "d2"), (32, "d3"), (33, "d4")],
|
|
)
|
|
|
|
|
|
class MatchTest(fixtures.TablesTest, AssertsCompiledSQL):
|
|
|
|
__only_on__ = "postgresql >= 8.3"
|
|
__backend__ = True
|
|
|
|
@classmethod
|
|
def define_tables(cls, metadata):
|
|
Table(
|
|
"cattable",
|
|
metadata,
|
|
Column("id", Integer, primary_key=True),
|
|
Column("description", String(50)),
|
|
)
|
|
Table(
|
|
"matchtable",
|
|
metadata,
|
|
Column("id", Integer, primary_key=True),
|
|
Column("title", String(200)),
|
|
Column("category_id", Integer, ForeignKey("cattable.id")),
|
|
)
|
|
|
|
@classmethod
|
|
def insert_data(cls, connection):
|
|
cattable, matchtable = cls.tables("cattable", "matchtable")
|
|
|
|
connection.execute(
|
|
cattable.insert(),
|
|
[
|
|
{"id": 1, "description": "Python"},
|
|
{"id": 2, "description": "Ruby"},
|
|
],
|
|
)
|
|
connection.execute(
|
|
matchtable.insert(),
|
|
[
|
|
{
|
|
"id": 1,
|
|
"title": "Agile Web Development with Rails",
|
|
"category_id": 2,
|
|
},
|
|
{"id": 2, "title": "Dive Into Python", "category_id": 1},
|
|
{
|
|
"id": 3,
|
|
"title": "Programming Matz's Ruby",
|
|
"category_id": 2,
|
|
},
|
|
{
|
|
"id": 4,
|
|
"title": "The Definitive Guide to Django",
|
|
"category_id": 1,
|
|
},
|
|
{"id": 5, "title": "Python in a Nutshell", "category_id": 1},
|
|
],
|
|
)
|
|
|
|
@testing.requires.pyformat_paramstyle
|
|
def test_expression_pyformat(self):
|
|
matchtable = self.tables.matchtable
|
|
self.assert_compile(
|
|
matchtable.c.title.match("somstr"),
|
|
"matchtable.title @@ to_tsquery(%(title_1)s" ")",
|
|
)
|
|
|
|
@testing.requires.format_paramstyle
|
|
def test_expression_positional(self):
|
|
matchtable = self.tables.matchtable
|
|
self.assert_compile(
|
|
matchtable.c.title.match("somstr"),
|
|
"matchtable.title @@ to_tsquery(%s)",
|
|
)
|
|
|
|
def test_simple_match(self, connection):
|
|
matchtable = self.tables.matchtable
|
|
results = connection.execute(
|
|
matchtable.select()
|
|
.where(matchtable.c.title.match("python"))
|
|
.order_by(matchtable.c.id)
|
|
).fetchall()
|
|
eq_([2, 5], [r.id for r in results])
|
|
|
|
def test_not_match(self, connection):
|
|
matchtable = self.tables.matchtable
|
|
results = connection.execute(
|
|
matchtable.select()
|
|
.where(~matchtable.c.title.match("python"))
|
|
.order_by(matchtable.c.id)
|
|
).fetchall()
|
|
eq_([1, 3, 4], [r.id for r in results])
|
|
|
|
def test_simple_match_with_apostrophe(self, connection):
|
|
matchtable = self.tables.matchtable
|
|
results = connection.execute(
|
|
matchtable.select().where(matchtable.c.title.match("Matz's"))
|
|
).fetchall()
|
|
eq_([3], [r.id for r in results])
|
|
|
|
def test_simple_derivative_match(self, connection):
|
|
matchtable = self.tables.matchtable
|
|
results = connection.execute(
|
|
matchtable.select().where(matchtable.c.title.match("nutshells"))
|
|
).fetchall()
|
|
eq_([5], [r.id for r in results])
|
|
|
|
def test_or_match(self, connection):
|
|
matchtable = self.tables.matchtable
|
|
results1 = connection.execute(
|
|
matchtable.select()
|
|
.where(
|
|
or_(
|
|
matchtable.c.title.match("nutshells"),
|
|
matchtable.c.title.match("rubies"),
|
|
)
|
|
)
|
|
.order_by(matchtable.c.id)
|
|
).fetchall()
|
|
eq_([3, 5], [r.id for r in results1])
|
|
results2 = connection.execute(
|
|
matchtable.select()
|
|
.where(matchtable.c.title.match("nutshells | rubies"))
|
|
.order_by(matchtable.c.id)
|
|
).fetchall()
|
|
eq_([3, 5], [r.id for r in results2])
|
|
|
|
def test_and_match(self, connection):
|
|
matchtable = self.tables.matchtable
|
|
results1 = connection.execute(
|
|
matchtable.select().where(
|
|
and_(
|
|
matchtable.c.title.match("python"),
|
|
matchtable.c.title.match("nutshells"),
|
|
)
|
|
)
|
|
).fetchall()
|
|
eq_([5], [r.id for r in results1])
|
|
results2 = connection.execute(
|
|
matchtable.select().where(
|
|
matchtable.c.title.match("python & nutshells")
|
|
)
|
|
).fetchall()
|
|
eq_([5], [r.id for r in results2])
|
|
|
|
def test_match_across_joins(self, connection):
|
|
cattable, matchtable = self.tables("cattable", "matchtable")
|
|
results = connection.execute(
|
|
matchtable.select()
|
|
.where(
|
|
and_(
|
|
cattable.c.id == matchtable.c.category_id,
|
|
or_(
|
|
cattable.c.description.match("Ruby"),
|
|
matchtable.c.title.match("nutshells"),
|
|
),
|
|
)
|
|
)
|
|
.order_by(matchtable.c.id)
|
|
).fetchall()
|
|
eq_([1, 3, 5], [r.id for r in results])
|
|
|
|
|
|
class TupleTest(fixtures.TestBase):
|
|
__only_on__ = "postgresql"
|
|
__backend__ = True
|
|
|
|
def test_tuple_containment(self, connection):
|
|
|
|
for test, exp in [
|
|
([("a", "b")], True),
|
|
([("a", "c")], False),
|
|
([("f", "q"), ("a", "b")], True),
|
|
([("f", "q"), ("a", "c")], False),
|
|
]:
|
|
eq_(
|
|
connection.execute(
|
|
select(
|
|
tuple_(
|
|
literal_column("'a'"), literal_column("'b'")
|
|
).in_(
|
|
[
|
|
tuple_(
|
|
*[
|
|
literal_column("'%s'" % letter)
|
|
for letter in elem
|
|
]
|
|
)
|
|
for elem in test
|
|
]
|
|
)
|
|
)
|
|
).scalar(),
|
|
exp,
|
|
)
|
|
|
|
|
|
class ExtractTest(fixtures.TablesTest):
|
|
|
|
"""The rationale behind this test is that for many years we've had a system
|
|
of embedding type casts into the expressions rendered by visit_extract()
|
|
on the postgreql platform. The reason for this cast is not clear.
|
|
So here we try to produce a wide range of cases to ensure that these casts
|
|
are not needed; see [ticket:2740].
|
|
|
|
"""
|
|
|
|
__only_on__ = "postgresql"
|
|
__backend__ = True
|
|
|
|
run_inserts = "once"
|
|
run_deletes = None
|
|
|
|
@classmethod
|
|
def setup_bind(cls):
|
|
from sqlalchemy import event
|
|
|
|
eng = engines.testing_engine(options={"scope": "class"})
|
|
|
|
@event.listens_for(eng, "connect")
|
|
def connect(dbapi_conn, rec):
|
|
cursor = dbapi_conn.cursor()
|
|
cursor.execute("SET SESSION TIME ZONE 0")
|
|
cursor.close()
|
|
|
|
return eng
|
|
|
|
@classmethod
|
|
def define_tables(cls, metadata):
|
|
Table(
|
|
"t",
|
|
metadata,
|
|
Column("id", Integer, primary_key=True),
|
|
Column("dtme", DateTime),
|
|
Column("dt", Date),
|
|
Column("tm", Time),
|
|
Column("intv", postgresql.INTERVAL),
|
|
Column("dttz", DateTime(timezone=True)),
|
|
)
|
|
|
|
@classmethod
|
|
def insert_data(cls, connection):
|
|
# TODO: why does setting hours to anything
|
|
# not affect the TZ in the DB col ?
|
|
class TZ(datetime.tzinfo):
|
|
def utcoffset(self, dt):
|
|
return datetime.timedelta(hours=4)
|
|
|
|
connection.execute(
|
|
cls.tables.t.insert(),
|
|
{
|
|
"dtme": datetime.datetime(2012, 5, 10, 12, 15, 25),
|
|
"dt": datetime.date(2012, 5, 10),
|
|
"tm": datetime.time(12, 15, 25),
|
|
"intv": datetime.timedelta(seconds=570),
|
|
"dttz": datetime.datetime(
|
|
2012, 5, 10, 12, 15, 25, tzinfo=TZ()
|
|
),
|
|
},
|
|
)
|
|
|
|
def _test(self, expr, field="all", overrides=None):
|
|
t = self.tables.t
|
|
|
|
if field == "all":
|
|
fields = {
|
|
"year": 2012,
|
|
"month": 5,
|
|
"day": 10,
|
|
"epoch": 1336652125.0,
|
|
"hour": 12,
|
|
"minute": 15,
|
|
}
|
|
elif field == "time":
|
|
fields = {"hour": 12, "minute": 15, "second": 25}
|
|
elif field == "date":
|
|
fields = {"year": 2012, "month": 5, "day": 10}
|
|
elif field == "all+tz":
|
|
fields = {
|
|
"year": 2012,
|
|
"month": 5,
|
|
"day": 10,
|
|
"epoch": 1336637725.0,
|
|
"hour": 8,
|
|
"timezone": 0,
|
|
}
|
|
else:
|
|
fields = field
|
|
|
|
if overrides:
|
|
fields.update(overrides)
|
|
|
|
for field in fields:
|
|
result = self.bind.scalar(
|
|
select(extract(field, expr)).select_from(t)
|
|
)
|
|
eq_(result, fields[field])
|
|
|
|
def test_one(self):
|
|
t = self.tables.t
|
|
self._test(t.c.dtme, "all")
|
|
|
|
def test_two(self):
|
|
t = self.tables.t
|
|
self._test(
|
|
t.c.dtme + t.c.intv,
|
|
overrides={"epoch": 1336652695.0, "minute": 24},
|
|
)
|
|
|
|
def test_three(self):
|
|
self.tables.t
|
|
|
|
actual_ts = self.bind.scalar(
|
|
func.current_timestamp()
|
|
) - datetime.timedelta(days=5)
|
|
self._test(
|
|
func.current_timestamp() - datetime.timedelta(days=5),
|
|
{
|
|
"hour": actual_ts.hour,
|
|
"year": actual_ts.year,
|
|
"month": actual_ts.month,
|
|
},
|
|
)
|
|
|
|
def test_four(self):
|
|
t = self.tables.t
|
|
self._test(
|
|
datetime.timedelta(days=5) + t.c.dt,
|
|
overrides={
|
|
"day": 15,
|
|
"epoch": 1337040000.0,
|
|
"hour": 0,
|
|
"minute": 0,
|
|
},
|
|
)
|
|
|
|
def test_five(self):
|
|
t = self.tables.t
|
|
self._test(
|
|
func.coalesce(t.c.dtme, func.current_timestamp()),
|
|
overrides={"epoch": 1336652125.0},
|
|
)
|
|
|
|
def test_six(self):
|
|
t = self.tables.t
|
|
self._test(
|
|
t.c.tm + datetime.timedelta(seconds=30),
|
|
"time",
|
|
overrides={"second": 55},
|
|
)
|
|
|
|
def test_seven(self):
|
|
self._test(
|
|
literal(datetime.timedelta(seconds=10))
|
|
- literal(datetime.timedelta(seconds=10)),
|
|
"all",
|
|
overrides={
|
|
"hour": 0,
|
|
"minute": 0,
|
|
"month": 0,
|
|
"year": 0,
|
|
"day": 0,
|
|
"epoch": 0,
|
|
},
|
|
)
|
|
|
|
def test_eight(self):
|
|
t = self.tables.t
|
|
self._test(
|
|
t.c.tm + datetime.timedelta(seconds=30),
|
|
{"hour": 12, "minute": 15, "second": 55},
|
|
)
|
|
|
|
def test_nine(self):
|
|
self._test(text("t.dt + t.tm"))
|
|
|
|
def test_ten(self):
|
|
t = self.tables.t
|
|
self._test(t.c.dt + t.c.tm)
|
|
|
|
def test_eleven(self):
|
|
self._test(
|
|
func.current_timestamp() - func.current_timestamp(),
|
|
{"year": 0, "month": 0, "day": 0, "hour": 0},
|
|
)
|
|
|
|
def test_twelve(self):
|
|
t = self.tables.t
|
|
actual_ts = self.bind.scalar(func.current_timestamp()).replace(
|
|
tzinfo=None
|
|
) - datetime.datetime(2012, 5, 10, 12, 15, 25)
|
|
|
|
self._test(
|
|
func.current_timestamp()
|
|
- func.coalesce(t.c.dtme, func.current_timestamp()),
|
|
{"day": actual_ts.days},
|
|
)
|
|
|
|
def test_thirteen(self):
|
|
t = self.tables.t
|
|
self._test(t.c.dttz, "all+tz")
|
|
|
|
def test_fourteen(self):
|
|
t = self.tables.t
|
|
self._test(t.c.tm, "time")
|
|
|
|
def test_fifteen(self):
|
|
t = self.tables.t
|
|
self._test(
|
|
datetime.timedelta(days=5) + t.c.dtme,
|
|
overrides={"day": 15, "epoch": 1337084125.0},
|
|
)
|
|
|
|
|
|
class TableValuedRoundTripTest(fixtures.TestBase):
|
|
__backend__ = True
|
|
__only_on__ = "postgresql"
|
|
|
|
def test_generate_series_scalar(self, connection):
|
|
x = func.generate_series(1, 2).alias("x")
|
|
y = func.generate_series(1, 2).alias("y")
|
|
|
|
stmt = select(x.column, y.column).join_from(x, y, true())
|
|
|
|
eq_(connection.execute(stmt).all(), [(1, 1), (1, 2), (2, 1), (2, 2)])
|
|
|
|
def test_aggregate_scalar_over_table_valued(self, metadata, connection):
|
|
test = Table(
|
|
"test", metadata, Column("id", Integer), Column("data", JSONB)
|
|
)
|
|
test.create(connection)
|
|
|
|
connection.execute(
|
|
test.insert(),
|
|
[
|
|
{"id": 1, "data": {"key": [23.7, 108.17, 55.98]}},
|
|
{"id": 2, "data": {"key": [2.320, 9.55]}},
|
|
{"id": 3, "data": {"key": [10.5, 6]}},
|
|
],
|
|
)
|
|
|
|
elem = (
|
|
func.jsonb_array_elements_text(test.c.data["key"])
|
|
.table_valued("value")
|
|
.alias("elem")
|
|
)
|
|
|
|
maxdepth = select(func.max(cast(elem.c.value, Float))).label(
|
|
"maxdepth"
|
|
)
|
|
|
|
stmt = select(test.c.id.label("test_id"), maxdepth).order_by(
|
|
"maxdepth"
|
|
)
|
|
|
|
eq_(
|
|
connection.execute(stmt).all(), [(2, 9.55), (3, 10.5), (1, 108.17)]
|
|
)
|
|
|
|
@testing.fixture
|
|
def assets_transactions(self, metadata, connection):
|
|
assets_transactions = Table(
|
|
"assets_transactions",
|
|
metadata,
|
|
Column("id", Integer),
|
|
Column("contents", JSONB),
|
|
)
|
|
assets_transactions.create(connection)
|
|
connection.execute(
|
|
assets_transactions.insert(),
|
|
[
|
|
{"id": 1, "contents": {"k1": "v1"}},
|
|
{"id": 2, "contents": {"k2": "v2"}},
|
|
{"id": 3, "contents": {"k3": "v3"}},
|
|
],
|
|
)
|
|
return assets_transactions
|
|
|
|
def test_scalar_table_valued(self, assets_transactions, connection):
|
|
stmt = select(
|
|
assets_transactions.c.id,
|
|
func.jsonb_each(
|
|
assets_transactions.c.contents, type_=JSONB
|
|
).scalar_table_valued("key"),
|
|
func.jsonb_each(
|
|
assets_transactions.c.contents, type_=JSONB
|
|
).scalar_table_valued("value"),
|
|
)
|
|
|
|
eq_(
|
|
connection.execute(stmt).all(),
|
|
[(1, "k1", "v1"), (2, "k2", "v2"), (3, "k3", "v3")],
|
|
)
|
|
|
|
def test_table_valued(self, assets_transactions, connection):
|
|
|
|
jb = func.jsonb_each(assets_transactions.c.contents).table_valued(
|
|
"key", "value"
|
|
)
|
|
|
|
stmt = select(assets_transactions.c.id, jb.c.key, jb.c.value).join(
|
|
jb, true()
|
|
)
|
|
eq_(
|
|
connection.execute(stmt).all(),
|
|
[(1, "k1", "v1"), (2, "k2", "v2"), (3, "k3", "v3")],
|
|
)
|
|
|
|
@testing.fixture
|
|
def axy_table(self, metadata, connection):
|
|
a = Table(
|
|
"a",
|
|
metadata,
|
|
Column("id", Integer),
|
|
Column("x", Integer),
|
|
Column("y", Integer),
|
|
)
|
|
a.create(connection)
|
|
connection.execute(
|
|
a.insert(),
|
|
[
|
|
{"id": 1, "x": 5, "y": 4},
|
|
{"id": 2, "x": 15, "y": 3},
|
|
{"id": 3, "x": 7, "y": 9},
|
|
],
|
|
)
|
|
|
|
return a
|
|
|
|
def test_function_against_table_record(self, axy_table, connection):
|
|
"""
|
|
SELECT row_to_json(anon_1) AS row_to_json_1
|
|
FROM (SELECT a.id AS id, a.x AS x, a.y AS y
|
|
FROM a) AS anon_1
|
|
|
|
"""
|
|
|
|
stmt = select(func.row_to_json(axy_table.table_valued()))
|
|
|
|
eq_(
|
|
connection.execute(stmt).scalars().all(),
|
|
[
|
|
{"id": 1, "x": 5, "y": 4},
|
|
{"id": 2, "x": 15, "y": 3},
|
|
{"id": 3, "x": 7, "y": 9},
|
|
],
|
|
)
|
|
|
|
def test_function_against_subq_record(self, axy_table, connection):
|
|
"""
|
|
SELECT row_to_json(anon_1) AS row_to_json_1
|
|
FROM (SELECT a.id AS id, a.x AS x, a.y AS y
|
|
FROM a) AS anon_1
|
|
|
|
"""
|
|
|
|
stmt = select(
|
|
func.row_to_json(axy_table.select().subquery().table_valued())
|
|
)
|
|
|
|
eq_(
|
|
connection.execute(stmt).scalars().all(),
|
|
[
|
|
{"id": 1, "x": 5, "y": 4},
|
|
{"id": 2, "x": 15, "y": 3},
|
|
{"id": 3, "x": 7, "y": 9},
|
|
],
|
|
)
|
|
|
|
def test_function_against_row_constructor(self, connection):
|
|
|
|
stmt = select(func.row_to_json(func.row(1, "foo")))
|
|
|
|
eq_(connection.scalar(stmt), {"f1": 1, "f2": "foo"})
|
|
|
|
def test_with_ordinality_named(self, connection):
|
|
|
|
stmt = select(
|
|
func.generate_series(4, 1, -1)
|
|
.table_valued("gs", with_ordinality="ordinality")
|
|
.render_derived()
|
|
)
|
|
|
|
eq_(connection.execute(stmt).all(), [(4, 1), (3, 2), (2, 3), (1, 4)])
|
|
|
|
def test_with_ordinality_star(self, connection):
|
|
|
|
stmt = select("*").select_from(
|
|
func.generate_series(4, 1, -1).table_valued(
|
|
with_ordinality="ordinality"
|
|
)
|
|
)
|
|
|
|
eq_(connection.execute(stmt).all(), [(4, 1), (3, 2), (2, 3), (1, 4)])
|
|
|
|
def test_plain_old_unnest(self, connection):
|
|
fn = func.unnest(
|
|
postgresql.array(["one", "two", "three", "four"])
|
|
).column_valued()
|
|
|
|
stmt = select(fn)
|
|
|
|
eq_(
|
|
connection.execute(stmt).all(),
|
|
[("one",), ("two",), ("three",), ("four",)],
|
|
)
|
|
|
|
def test_unnest_with_ordinality(self, connection):
|
|
|
|
array_val = postgresql.array(
|
|
[postgresql.array([14, 41, 7]), postgresql.array([54, 9, 49])]
|
|
)
|
|
stmt = select("*").select_from(
|
|
func.unnest(array_val)
|
|
.table_valued("elts", with_ordinality="num")
|
|
.render_derived()
|
|
.alias("t")
|
|
)
|
|
eq_(
|
|
connection.execute(stmt).all(),
|
|
[(14, 1), (41, 2), (7, 3), (54, 4), (9, 5), (49, 6)],
|
|
)
|
|
|
|
def test_unnest_with_ordinality_named(self, connection):
|
|
|
|
array_val = postgresql.array(
|
|
[postgresql.array([14, 41, 7]), postgresql.array([54, 9, 49])]
|
|
)
|
|
|
|
fn = (
|
|
func.unnest(array_val)
|
|
.table_valued("elts", with_ordinality="num")
|
|
.alias("t")
|
|
.render_derived()
|
|
)
|
|
|
|
stmt = select(fn.c.elts, fn.c.num)
|
|
|
|
eq_(
|
|
connection.execute(stmt).all(),
|
|
[(14, 1), (41, 2), (7, 3), (54, 4), (9, 5), (49, 6)],
|
|
)
|