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e04baa2953fb5d0d29f5dca01ea6882bf1fa1cd4
sqlalchemy/test/dialect/postgresql/test_query.py
T
jonathan vanasco b2df5be7ee Deprecate create_engine.implicit_returning 
The :paramref:`_sa.create_engine.implicit_returning` parameter is
deprecated on the :func:`_sa.create_engine` function only; the parameter
remains available on the :class:`_schema.Table` object. This parameter was
originally intended to enable the "implicit returning" feature of
SQLAlchemy when it was first developed and was not enabled by default.
Under modern use, there's no reason this parameter should be disabled, and
it has been observed to cause confusion as it degrades performance and
makes it more difficult for the ORM to retrieve recently inserted server
defaults. The parameter remains available on :class:`_schema.Table` to
specifically suit database-level edge cases which make RETURNING
infeasible, the sole example currently being SQL Server's limitation that
INSERT RETURNING may not be used on a table that has INSERT triggers on it.

Also removed from the Oracle dialect some logic that would upgrade
an Oracle 8/8i server version to use implicit returning if the
parameter were explictly passed; these versions of Oracle
still support RETURNING so the feature is now enabled for all
Oracle versions.

Fixes: #6962
Change-Id: Ib338e300cd7c8026c3083043f645084a8211aed8
2021-11-09 11:34:48 -05:00

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# coding: utf-8
import datetime
from sqlalchemy import and_
from sqlalchemy import cast
from sqlalchemy import Column
from sqlalchemy import column
from sqlalchemy import Date
from sqlalchemy import DateTime
from sqlalchemy import exc
from sqlalchemy import extract
from sqlalchemy import Float
from sqlalchemy import ForeignKey
from sqlalchemy import func
from sqlalchemy import Integer
from sqlalchemy import literal
from sqlalchemy import literal_column
from sqlalchemy import MetaData
from sqlalchemy import or_
from sqlalchemy import select
from sqlalchemy import Sequence
from sqlalchemy import String
from sqlalchemy import Table
from sqlalchemy import testing
from sqlalchemy import text
from sqlalchemy import Time
from sqlalchemy import true
from sqlalchemy import tuple_
from sqlalchemy.dialects import postgresql
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.testing import assert_raises
from sqlalchemy.testing import AssertsCompiledSQL
from sqlalchemy.testing import AssertsExecutionResults
from sqlalchemy.testing import engines
from sqlalchemy.testing import eq_
from sqlalchemy.testing import expect_warnings
from sqlalchemy.testing import fixtures
from sqlalchemy.testing.assertsql import CursorSQL
from sqlalchemy.testing.assertsql import DialectSQL
class InsertTest(fixtures.TestBase, AssertsExecutionResults):
__only_on__ = "postgresql"
__backend__ = True
@testing.combinations((False,), (True,), argnames="implicit_returning")
def test_foreignkey_missing_insert(
self, metadata, connection, implicit_returning
):
Table(
"t1",
metadata,
Column("id", Integer, primary_key=True),
implicit_returning=implicit_returning,
)
t2 = Table(
"t2",
metadata,
Column("id", Integer, ForeignKey("t1.id"), primary_key=True),
implicit_returning=implicit_returning,
)
metadata.create_all(connection)
# want to ensure that "null value in column "id" violates not-
# null constraint" is raised (IntegrityError on psycoopg2, but
# ProgrammingError on pg8000), and not "ProgrammingError:
# (ProgrammingError) relationship "t2_id_seq" does not exist".
# the latter corresponds to autoincrement behavior, which is not
# the case here due to the foreign key.
with expect_warnings(".*has no Python-side or server-side default.*"):
assert_raises(
(exc.IntegrityError, exc.ProgrammingError),
connection.execute,
t2.insert(),
)
@testing.combinations(True, False, argnames="implicit_returning")
def test_sequence_insert(self, metadata, connection, implicit_returning):
table = Table(
"testtable",
metadata,
Column("id", Integer, Sequence("my_seq"), primary_key=True),
Column("data", String(30)),
implicit_returning=implicit_returning,
)
metadata.create_all(connection)
if implicit_returning:
self._assert_data_with_sequence_returning(
connection, table, "my_seq"
)
else:
self._assert_data_with_sequence(connection, table, "my_seq")
@testing.combinations(True, False, argnames="implicit_returning")
def test_opt_sequence_insert(
self, metadata, connection, implicit_returning
):
table = Table(
"testtable",
metadata,
Column(
"id",
Integer,
Sequence("my_seq", optional=True),
primary_key=True,
),
Column("data", String(30)),
implicit_returning=implicit_returning,
)
metadata.create_all(connection)
if implicit_returning:
self._assert_data_autoincrement_returning(connection, table)
else:
self._assert_data_autoincrement(connection, table)
@testing.combinations(True, False, argnames="implicit_returning")
def test_autoincrement_insert(
self, metadata, connection, implicit_returning
):
table = Table(
"testtable",
metadata,
Column("id", Integer, primary_key=True),
Column("data", String(30)),
implicit_returning=implicit_returning,
)
metadata.create_all(connection)
if implicit_returning:
self._assert_data_autoincrement_returning(connection, table)
else:
self._assert_data_autoincrement(connection, table)
@testing.combinations(True, False, argnames="implicit_returning")
def test_noautoincrement_insert(
self, metadata, connection, implicit_returning
):
table = Table(
"testtable",
metadata,
Column("id", Integer, primary_key=True, autoincrement=False),
Column("data", String(30)),
implicit_returning=implicit_returning,
)
metadata.create_all(connection)
self._assert_data_noautoincrement(connection, table)
def _assert_data_autoincrement(self, connection, table):
"""
invoked by:
* test_opt_sequence_insert
* test_autoincrement_insert
"""
with self.sql_execution_asserter(connection) as asserter:
conn = connection
# execute with explicit id
r = conn.execute(table.insert(), {"id": 30, "data": "d1"})
eq_(r.inserted_primary_key, (30,))
# execute with prefetch id
r = conn.execute(table.insert(), {"data": "d2"})
eq_(r.inserted_primary_key, (1,))
# executemany with explicit ids
conn.execute(
table.insert(),
[
{"id": 31, "data": "d3"},
{"id": 32, "data": "d4"},
],
)
# executemany, uses SERIAL
conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
# single execute, explicit id, inline
conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
# single execute, inline, uses SERIAL
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 (:id, :data)",
{"id": 1, "data": "d2"},
),
DialectSQL(
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
),
DialectSQL(
"INSERT INTO testtable (data) VALUES (:data)",
[{"data": "d5"}, {"data": "d6"}],
),
DialectSQL(
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
[{"id": 33, "data": "d7"}],
),
DialectSQL(
"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
),
)
eq_(
conn.execute(table.select()).fetchall(),
[
(30, "d1"),
(1, "d2"),
(31, "d3"),
(32, "d4"),
(2, "d5"),
(3, "d6"),
(33, "d7"),
(4, "d8"),
],
)
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=connection, implicit_returning=False
)
with self.sql_execution_asserter(connection) as asserter:
conn.execute(table.insert(), {"id": 30, "data": "d1"})
r = conn.execute(table.insert(), {"data": "d2"})
eq_(r.inserted_primary_key, (5,))
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 (:id, :data)",
{"id": 5, "data": "d2"},
),
DialectSQL(
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
[{"id": 31, "data": "d3"}, {"id": 32, "data": "d4"}],
),
DialectSQL(
"INSERT INTO testtable (data) VALUES (:data)",
[{"data": "d5"}, {"data": "d6"}],
),
DialectSQL(
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
[{"id": 33, "data": "d7"}],
),
DialectSQL(
"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
),
)
eq_(
conn.execute(table.select()).fetchall(),
[
(30, "d1"),
(5, "d2"),
(31, "d3"),
(32, "d4"),
(6, "d5"),
(7, "d6"),
(33, "d7"),
(8, "d8"),
],
)
def _assert_data_autoincrement_returning(self, connection, table):
"""
invoked by:
* test_opt_sequence_returning_insert
* test_autoincrement_returning_insert
"""
with self.sql_execution_asserter(connection) as asserter:
conn = connection
# execute with explicit id
r = conn.execute(table.insert(), {"id": 30, "data": "d1"})
eq_(r.inserted_primary_key, (30,))
# execute with prefetch id
r = conn.execute(table.insert(), {"data": "d2"})
eq_(r.inserted_primary_key, (1,))
# executemany with explicit ids
conn.execute(
table.insert(),
[
{"id": 31, "data": "d3"},
{"id": 32, "data": "d4"},
],
)
# executemany, uses SERIAL
conn.execute(table.insert(), [{"data": "d5"}, {"data": "d6"}])
# single execute, explicit id, inline
conn.execute(table.insert().inline(), {"id": 33, "data": "d7"})
# single execute, inline, uses SERIAL
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 (data) VALUES (: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 (data) VALUES (:data)",
[{"data": "d5"}, {"data": "d6"}],
),
DialectSQL(
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
[{"id": 33, "data": "d7"}],
),
DialectSQL(
"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
),
)
eq_(
conn.execute(table.select()).fetchall(),
[
(30, "d1"),
(1, "d2"),
(31, "d3"),
(32, "d4"),
(2, "d5"),
(3, "d6"),
(33, "d7"),
(4, "d8"),
],
)
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=connection,
implicit_returning=True,
)
with self.sql_execution_asserter(connection) as asserter:
conn.execute(table.insert(), {"id": 30, "data": "d1"})
r = conn.execute(table.insert(), {"data": "d2"})
eq_(r.inserted_primary_key, (5,))
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 (data) VALUES (: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 (data) VALUES (:data)",
[{"data": "d5"}, {"data": "d6"}],
),
DialectSQL(
"INSERT INTO testtable (id, data) VALUES (:id, :data)",
[{"id": 33, "data": "d7"}],
),
DialectSQL(
"INSERT INTO testtable (data) VALUES (:data)", [{"data": "d8"}]
),
)
eq_(
conn.execute(table.select()).fetchall(),
[
(30, "d1"),
(5, "d2"),
(31, "d3"),
(32, "d4"),
(6, "d5"),
(7, "d6"),
(33, "d7"),
(8, "d8"),
],
)
def _assert_data_with_sequence(self, connection, table, seqname):
"""
invoked by:
* test_sequence_insert
"""
with self.sql_execution_asserter(connection) as asserter:
conn = connection
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"},
),
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)",
[{"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"}],
),
)
eq_(
conn.execute(table.select()).fetchall(),
[
(30, "d1"),
(1, "d2"),
(31, "d3"),
(32, "d4"),
(2, "d5"),
(3, "d6"),
(33, "d7"),
(4, "d8"),
],
)
def _assert_data_with_sequence_returning(self, connection, table, seqname):
"""
invoked by:
* test_sequence_returning_insert
"""
with self.sql_execution_asserter(connection) as asserter:
conn = connection
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"}],
),
)
eq_(
connection.execute(table.select()).fetchall(),
[
(30, "d1"),
(1, "d2"),
(31, "d3"),
(32, "d4"),
(2, "d5"),
(3, "d6"),
(33, "d7"),
(4, "d8"),
],
)
def _assert_data_noautoincrement(self, connection, table):
"""
invoked by:
* test_noautoincrement_insert
"""
# turning off the cache because we are checking for compile-time
# warnings
connection.execution_options(compiled_cache=None)
conn = connection
conn.execute(table.insert(), {"id": 30, "data": "d1"})
with conn.begin_nested() as nested:
with expect_warnings(
".*has no Python-side or server-side default.*"
):
assert_raises(
(exc.IntegrityError, exc.ProgrammingError),
conn.execute,
table.insert(),
{"data": "d2"},
)
nested.rollback()
with conn.begin_nested() as nested:
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"}],
)
nested.rollback()
with conn.begin_nested() as nested:
with expect_warnings(
".*has no Python-side or server-side default.*"
):
assert_raises(
(exc.IntegrityError, exc.ProgrammingError),
conn.execute,
table.insert(),
{"data": "d2"},
)
nested.rollback()
with conn.begin_nested() as nested:
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"}],
)
nested.rollback()
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=connection)
conn = connection
conn.execute(table.insert(), {"id": 30, "data": "d1"})
with conn.begin_nested() as nested:
with expect_warnings(
".*has no Python-side or server-side default.*"
):
assert_raises(
(exc.IntegrityError, exc.ProgrammingError),
conn.execute,
table.insert(),
{"data": "d2"},
)
nested.rollback()
with conn.begin_nested() as nested:
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"}],
)
nested.rollback()
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
class TZ(datetime.tzinfo):
def utcoffset(self, dt):
return datetime.timedelta(hours=4)
@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):
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=cls.TZ()
),
},
)
def _test(self, connection, 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 = connection.execute(
select(extract(field, expr)).select_from(t)
).scalar()
eq_(result, fields[field])
def test_one(self, connection):
t = self.tables.t
self._test(connection, t.c.dtme, "all")
def test_two(self, connection):
t = self.tables.t
self._test(
connection,
t.c.dtme + t.c.intv,
overrides={"epoch": 1336652695.0, "minute": 24},
)
def test_three(self, connection):
self.tables.t
actual_ts = self.bind.connect().execute(
func.current_timestamp()
).scalar() - datetime.timedelta(days=5)
self._test(
connection,
func.current_timestamp() - datetime.timedelta(days=5),
{
"hour": actual_ts.hour,
"year": actual_ts.year,
"month": actual_ts.month,
},
)
def test_four(self, connection):
t = self.tables.t
self._test(
connection,
datetime.timedelta(days=5) + t.c.dt,
overrides={
"day": 15,
"epoch": 1337040000.0,
"hour": 0,
"minute": 0,
},
)
def test_five(self, connection):
t = self.tables.t
self._test(
connection,
func.coalesce(t.c.dtme, func.current_timestamp()),
overrides={"epoch": 1336652125.0},
)
def test_six(self, connection):
t = self.tables.t
self._test(
connection,
t.c.tm + datetime.timedelta(seconds=30),
"time",
overrides={"second": 55},
)
def test_seven(self, connection):
self._test(
connection,
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, connection):
t = self.tables.t
self._test(
connection,
t.c.tm + datetime.timedelta(seconds=30),
{"hour": 12, "minute": 15, "second": 55},
)
def test_nine(self, connection):
self._test(connection, text("t.dt + t.tm"))
def test_ten(self, connection):
t = self.tables.t
self._test(connection, t.c.dt + t.c.tm)
def test_eleven(self, connection):
self._test(
connection,
func.current_timestamp() - func.current_timestamp(),
{"year": 0, "month": 0, "day": 0, "hour": 0},
)
def test_twelve(self, connection):
t = self.tables.t
actual_ts = connection.scalar(
func.current_timestamp()
) - datetime.datetime(2012, 5, 10, 12, 15, 25, tzinfo=self.TZ())
self._test(
connection,
func.current_timestamp() - t.c.dttz,
{"day": actual_ts.days},
)
def test_thirteen(self, connection):
t = self.tables.t
self._test(connection, t.c.dttz, "all+tz")
def test_fourteen(self, connection):
t = self.tables.t
self._test(connection, t.c.tm, "time")
def test_fifteen(self, connection):
t = self.tables.t
self._test(
connection,
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)],
)
@testing.only_on(
"postgresql+psycopg2",
"I cannot get this to run at all on other drivers, "
"even selecting from a table",
)
def test_render_derived_quoting(self, connection):
fn = (
func.json_to_recordset( # noqa
'[{"CaseSensitive":1,"the % value":"foo"}, '
'{"CaseSensitive":"2","the % value":"bar"}]'
)
.table_valued(
column("CaseSensitive", Integer), column("the % value", String)
)
.render_derived(with_types=True)
)
stmt = select(fn.c.CaseSensitive, fn.c["the % value"])
eq_(connection.execute(stmt).all(), [(1, "foo"), (2, "bar")])
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