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# -*- encoding: utf-8
from sqlalchemy.testing import eq_, engines
from sqlalchemy.sql import table, column
from sqlalchemy.databases import mssql
from sqlalchemy.testing import fixtures, AssertsCompiledSQL, assertions
from sqlalchemy import testing
from sqlalchemy.util import ue
from sqlalchemy import util
from sqlalchemy.testing.assertsql import CursorSQL
from sqlalchemy import Integer, String, Table, Column, select, MetaData,\
func, PrimaryKeyConstraint, desc, Sequence, DDL, ForeignKey, or_, and_
from sqlalchemy import event
metadata = None
cattable = None
matchtable = None
class LegacySchemaAliasingTest(fixtures.TestBase, AssertsCompiledSQL):
"""Legacy behavior tried to prevent schema-qualified tables
from being rendered as dotted names, and were instead aliased.
This behavior no longer seems to be required.
"""
def setup(self):
metadata = MetaData()
self.t1 = table(
't1',
column('a', Integer),
column('b', String),
column('c', String),
)
self.t2 = Table(
't2', metadata,
Column("a", Integer),
Column("b", Integer),
Column("c", Integer),
schema='schema'
)
def _assert_sql(self, element, legacy_sql, modern_sql=None):
dialect = mssql.dialect()
with assertions.expect_warnings(
"legacy_schema_aliasing flag is defaulted to True.*"):
self.assert_compile(
element,
legacy_sql,
dialect=dialect
)
dialect = mssql.dialect(legacy_schema_aliasing=False)
self.assert_compile(
element,
modern_sql or "foob",
dialect=dialect
)
def _legacy_dialect(self):
return mssql.dialect(legacy_schema_aliasing=True)
def test_result_map(self):
s = self.t2.select()
c = s.compile(dialect=self._legacy_dialect())
assert self.t2.c.a in set(c._create_result_map()['a'][1])
def test_result_map_use_labels(self):
s = self.t2.select(use_labels=True)
c = s.compile(dialect=self._legacy_dialect())
assert self.t2.c.a in set(c._create_result_map()['schema_t2_a'][1])
def test_straight_select(self):
self._assert_sql(
self.t2.select(),
"SELECT t2_1.a, t2_1.b, t2_1.c FROM [schema].t2 AS t2_1",
"SELECT [schema].t2.a, [schema].t2.b, "
"[schema].t2.c FROM [schema].t2"
)
def test_straight_select_use_labels(self):
self._assert_sql(
self.t2.select(use_labels=True),
"SELECT t2_1.a AS schema_t2_a, t2_1.b AS schema_t2_b, "
"t2_1.c AS schema_t2_c FROM [schema].t2 AS t2_1",
"SELECT [schema].t2.a AS schema_t2_a, "
"[schema].t2.b AS schema_t2_b, "
"[schema].t2.c AS schema_t2_c FROM [schema].t2"
)
def test_join_to_schema(self):
t1, t2 = self.t1, self.t2
self._assert_sql(
t1.join(t2, t1.c.a == t2.c.a).select(),
"SELECT t1.a, t1.b, t1.c, t2_1.a, t2_1.b, t2_1.c FROM t1 "
"JOIN [schema].t2 AS t2_1 ON t2_1.a = t1.a",
"SELECT t1.a, t1.b, t1.c, [schema].t2.a, [schema].t2.b, "
"[schema].t2.c FROM t1 JOIN [schema].t2 ON [schema].t2.a = t1.a"
)
def test_union_schema_to_non(self):
t1, t2 = self.t1, self.t2
s = select([t2.c.a, t2.c.b]).apply_labels().\
union(
select([t1.c.a, t1.c.b]).apply_labels()).alias().select()
self._assert_sql(
s,
"SELECT anon_1.schema_t2_a, anon_1.schema_t2_b FROM "
"(SELECT t2_1.a AS schema_t2_a, t2_1.b AS schema_t2_b "
"FROM [schema].t2 AS t2_1 UNION SELECT t1.a AS t1_a, "
"t1.b AS t1_b FROM t1) AS anon_1",
"SELECT anon_1.schema_t2_a, anon_1.schema_t2_b FROM "
"(SELECT [schema].t2.a AS schema_t2_a, [schema].t2.b AS "
"schema_t2_b FROM [schema].t2 UNION SELECT t1.a AS t1_a, "
"t1.b AS t1_b FROM t1) AS anon_1"
)
def test_column_subquery_to_alias(self):
a1 = self.t2.alias('a1')
s = select([self.t2, select([a1.c.a]).as_scalar()])
self._assert_sql(
s,
"SELECT t2_1.a, t2_1.b, t2_1.c, "
"(SELECT a1.a FROM [schema].t2 AS a1) "
"AS anon_1 FROM [schema].t2 AS t2_1",
"SELECT [schema].t2.a, [schema].t2.b, [schema].t2.c, "
"(SELECT a1.a FROM [schema].t2 AS a1) AS anon_1 FROM [schema].t2"
)
class IdentityInsertTest(fixtures.TestBase, AssertsCompiledSQL):
__only_on__ = 'mssql'
__dialect__ = mssql.MSDialect()
@classmethod
def setup_class(cls):
global metadata, cattable
metadata = MetaData(testing.db)
cattable = Table('cattable', metadata,
Column('id', Integer),
Column('description', String(50)),
PrimaryKeyConstraint('id', name='PK_cattable'),
)
def setup(self):
metadata.create_all()
def teardown(self):
metadata.drop_all()
def test_compiled(self):
self.assert_compile(cattable.insert().values(id=9,
description='Python'),
'INSERT INTO cattable (id, description) '
'VALUES (:id, :description)')
def test_execute(self):
cattable.insert().values(id=9, description='Python').execute()
cats = cattable.select().order_by(cattable.c.id).execute()
eq_([(9, 'Python')], list(cats))
result = cattable.insert().values(description='PHP').execute()
eq_([10], result.inserted_primary_key)
lastcat = cattable.select().order_by(desc(cattable.c.id)).execute()
eq_((10, 'PHP'), lastcat.first())
def test_executemany(self):
cattable.insert().execute([{'id': 89, 'description': 'Python'},
{'id': 8, 'description': 'Ruby'},
{'id': 3, 'description': 'Perl'},
{'id': 1, 'description': 'Java'}])
cats = cattable.select().order_by(cattable.c.id).execute()
eq_([(1, 'Java'), (3, 'Perl'), (8, 'Ruby'), (89, 'Python')],
list(cats))
cattable.insert().execute([{'description': 'PHP'},
{'description': 'Smalltalk'}])
lastcats = \
cattable.select().order_by(desc(cattable.c.id)).limit(2).execute()
eq_([(91, 'Smalltalk'), (90, 'PHP')], list(lastcats))
class QueryUnicodeTest(fixtures.TestBase):
__only_on__ = 'mssql'
def test_convert_unicode(self):
meta = MetaData(testing.db)
t1 = Table(
'unitest_table', meta,
Column('id', Integer, primary_key=True),
Column('descr', mssql.MSText(convert_unicode=True)))
meta.create_all()
con = testing.db.connect()
# encode in UTF-8 (sting object) because this is the default
# dialect encoding
con.execute(ue("insert into unitest_table values ('bien u\
umang\xc3\xa9')").encode('UTF-8'))
try:
r = t1.select().execute().first()
assert isinstance(r[1], util.text_type), \
'%s is %s instead of unicode, working on %s' % (
r[1],
type(r[1]), meta.bind)
finally:
meta.drop_all()
class QueryTest(testing.AssertsExecutionResults, fixtures.TestBase):
__only_on__ = 'mssql'
def test_fetchid_trigger(self):
"""
Verify identity return value on inserting to a trigger table.
MSSQL's OUTPUT INSERTED clause does not work for the
case of a table having an identity (autoincrement)
primary key column, and which also has a trigger configured
to fire upon each insert and subsequently perform an
insert into a different table.
SQLALchemy's MSSQL dialect by default will attempt to
use an OUTPUT_INSERTED clause, which in this case will
raise the following error:
ProgrammingError: (ProgrammingError) ('42000', 334,
"[Microsoft][SQL Server Native Client 10.0][SQL Server]The
target table 't1' of the DML statement cannot have any enabled
triggers if the statement contains an OUTPUT clause without
INTO clause.", 7748) 'INSERT INTO t1 (descr) OUTPUT inserted.id
VALUES (?)' ('hello',)
This test verifies a workaround, which is to rely on the
older SCOPE_IDENTITY() call, which still works for this scenario.
To enable the workaround, the Table must be instantiated
with the init parameter 'implicit_returning = False'.
"""
# todo: this same test needs to be tried in a multithreaded context
# with multiple threads inserting to the same table.
# todo: check whether this error also occurs with clients other
# than the SQL Server Native Client. Maybe an assert_raises
# test should be written.
meta = MetaData(testing.db)
t1 = Table('t1', meta,
Column('id', Integer, Sequence('fred', 100, 1),
primary_key=True),
Column('descr', String(200)),
# the following flag will prevent the
# MSSQLCompiler.returning_clause from getting called,
# though the ExecutionContext will still have a
# _select_lastrowid, so the SELECT SCOPE_IDENTITY() will
# hopefully be called instead.
implicit_returning=False
)
t2 = Table('t2', meta,
Column('id', Integer, Sequence('fred', 200, 1),
primary_key=True),
Column('descr', String(200)))
meta.create_all()
con = testing.db.connect()
con.execute("""create trigger paj on t1 for insert as
insert into t2 (descr) select descr from inserted""")
try:
tr = con.begin()
r = con.execute(t2.insert(), descr='hello')
self.assert_(r.inserted_primary_key == [200])
r = con.execute(t1.insert(), descr='hello')
self.assert_(r.inserted_primary_key == [100])
finally:
tr.commit()
con.execute("""drop trigger paj""")
meta.drop_all()
@testing.provide_metadata
def test_disable_scope_identity(self):
engine = engines.testing_engine(options={"use_scope_identity": False})
metadata = self.metadata
t1 = Table(
't1', metadata,
Column('id', Integer, primary_key=True),
Column('data', String(50)),
implicit_returning=False
)
metadata.create_all(engine)
with self.sql_execution_asserter(engine) as asserter:
engine.execute(t1.insert(), {"data": "somedata"})
asserter.assert_(
CursorSQL(
"INSERT INTO t1 (data) VALUES (?)",
("somedata", )
),
CursorSQL("SELECT @@identity AS lastrowid"),
)
@testing.provide_metadata
def test_enable_scope_identity(self):
engine = engines.testing_engine(options={"use_scope_identity": True})
metadata = self.metadata
t1 = Table(
't1', metadata,
Column('id', Integer, primary_key=True),
implicit_returning=False
)
metadata.create_all(engine)
with self.sql_execution_asserter(engine) as asserter:
engine.execute(t1.insert())
# even with pyodbc, we don't embed the scope identity on a
# DEFAULT VALUES insert
asserter.assert_(
CursorSQL("INSERT INTO t1 DEFAULT VALUES"),
CursorSQL("SELECT scope_identity() AS lastrowid"),
)
@testing.only_on('mssql+pyodbc')
@testing.provide_metadata
def test_embedded_scope_identity(self):
engine = engines.testing_engine(options={"use_scope_identity": True})
metadata = self.metadata
t1 = Table(
't1', metadata,
Column('id', Integer, primary_key=True),
Column('data', String(50)),
implicit_returning=False
)
metadata.create_all(engine)
with self.sql_execution_asserter(engine) as asserter:
engine.execute(t1.insert(), {'data': 'somedata'})
# pyodbc-specific system
asserter.assert_(
CursorSQL(
"INSERT INTO t1 (data) VALUES (?); select scope_identity()",
("somedata", )
),
)
@testing.provide_metadata
def test_insertid_schema(self):
meta = self.metadata
eng = engines.testing_engine(
options=dict(legacy_schema_aliasing=False))
meta.bind = eng
con = eng.connect()
con.execute('create schema paj')
@event.listens_for(meta, "after_drop")
def cleanup(target, connection, **kw):
connection.execute('drop schema paj')
tbl = Table('test', meta,
Column('id', Integer, primary_key=True), schema='paj')
tbl.create()
tbl.insert().execute({'id': 1})
eq_(tbl.select().scalar(), 1)
@testing.provide_metadata
def test_insertid_schema_legacy(self):
meta = self.metadata
eng = engines.testing_engine(
options=dict(legacy_schema_aliasing=True))
meta.bind = eng
con = eng.connect()
con.execute('create schema paj')
@event.listens_for(meta, "after_drop")
def cleanup(target, connection, **kw):
connection.execute('drop schema paj')
tbl = Table('test', meta,
Column('id', Integer, primary_key=True), schema='paj')
tbl.create()
tbl.insert().execute({'id': 1})
eq_(tbl.select().scalar(), 1)
@testing.provide_metadata
def test_returning_no_autoinc(self):
meta = self.metadata
table = Table(
't1', meta,
Column('id', Integer, primary_key=True),
Column('data', String(50)))
table.create()
result = table.insert().values(
id=1,
data=func.lower('SomeString')).\
returning(table.c.id, table.c.data).execute()
eq_(result.fetchall(), [(1, 'somestring')])
@testing.provide_metadata
def test_delete_schema(self):
meta = self.metadata
eng = engines.testing_engine(
options=dict(legacy_schema_aliasing=False))
meta.bind = eng
con = eng.connect()
con.execute('create schema paj')
@event.listens_for(meta, "after_drop")
def cleanup(target, connection, **kw):
connection.execute('drop schema paj')
tbl = Table(
'test', meta,
Column('id', Integer, primary_key=True), schema='paj')
tbl.create()
tbl.insert().execute({'id': 1})
eq_(tbl.select().scalar(), 1)
tbl.delete(tbl.c.id == 1).execute()
eq_(tbl.select().scalar(), None)
@testing.provide_metadata
def test_delete_schema_legacy(self):
meta = self.metadata
eng = engines.testing_engine(
options=dict(legacy_schema_aliasing=True))
meta.bind = eng
con = eng.connect()
con.execute('create schema paj')
@event.listens_for(meta, "after_drop")
def cleanup(target, connection, **kw):
connection.execute('drop schema paj')
tbl = Table(
'test', meta,
Column('id', Integer, primary_key=True), schema='paj')
tbl.create()
tbl.insert().execute({'id': 1})
eq_(tbl.select().scalar(), 1)
tbl.delete(tbl.c.id == 1).execute()
eq_(tbl.select().scalar(), None)
@testing.provide_metadata
def test_insertid_reserved(self):
meta = self.metadata
table = Table(
'select', meta,
Column('col', Integer, primary_key=True)
)
table.create()
table.insert().execute(col=7)
eq_(table.select().scalar(), 7)
class Foo(object):
def __init__(self, **kw):
for k in kw:
setattr(self, k, kw[k])
def full_text_search_missing():
"""Test if full text search is not implemented and return False if
it is and True otherwise."""
try:
connection = testing.db.connect()
try:
connection.execute('CREATE FULLTEXT CATALOG Catalog AS '
'DEFAULT')
return False
except:
return True
finally:
connection.close()
class MatchTest(fixtures.TestBase, AssertsCompiledSQL):
__only_on__ = 'mssql'
__skip_if__ = full_text_search_missing,
@classmethod
def setup_class(cls):
global metadata, cattable, matchtable
metadata = MetaData(testing.db)
cattable = Table('cattable', metadata, Column('id', Integer),
Column('description', String(50)),
PrimaryKeyConstraint('id', name='PK_cattable'))
matchtable = Table(
'matchtable',
metadata,
Column('id', Integer),
Column('title', String(200)),
Column('category_id', Integer, ForeignKey('cattable.id')),
PrimaryKeyConstraint('id', name='PK_matchtable'),
)
DDL("""CREATE FULLTEXT INDEX
ON cattable (description)
KEY INDEX PK_cattable""").\
execute_at('after-create', matchtable)
DDL("""CREATE FULLTEXT INDEX
ON matchtable (title)
KEY INDEX PK_matchtable""").\
execute_at('after-create', matchtable)
metadata.create_all()
cattable.insert().execute([{'id': 1, 'description': 'Python'},
{'id': 2, 'description': 'Ruby'}])
matchtable.insert().execute([
{'id': 1, 'title': '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': 'Guide to Django', 'category_id': 1},
{'id': 5, 'title': 'Python in a Nutshell', 'category_id': 1}])
DDL("WAITFOR DELAY '00:00:05'"
).execute(bind=engines.testing_engine())
@classmethod
def teardown_class(cls):
metadata.drop_all()
connection = testing.db.connect()
connection.execute("DROP FULLTEXT CATALOG Catalog")
connection.close()
def test_expression(self):
self.assert_compile(matchtable.c.title.match('somstr'),
'CONTAINS (matchtable.title, ?)')
def test_simple_match(self):
results = \
matchtable.select().where(
matchtable.c.title.match('python')).\
order_by(matchtable.c.id).execute().fetchall()
eq_([2, 5], [r.id for r in results])
def test_simple_match_with_apostrophe(self):
results = \
matchtable.select().where(
matchtable.c.title.match("Matz's")).execute().fetchall()
eq_([3], [r.id for r in results])
def test_simple_prefix_match(self):
results = \
matchtable.select().where(
matchtable.c.title.match('"nut*"')).execute().fetchall()
eq_([5], [r.id for r in results])
def test_simple_inflectional_match(self):
results = \
matchtable.select().where(
matchtable.c.title.match('FORMSOF(INFLECTIONAL, "dives")'
)).execute().fetchall()
eq_([2], [r.id for r in results])
def test_or_match(self):
results1 = \
matchtable.select().where(or_(
matchtable.c.title.match('nutshell'),
matchtable.c.title.match('ruby'))).\
order_by(matchtable.c.id).execute().fetchall()
eq_([3, 5], [r.id for r in results1])
results2 = \
matchtable.select().where(
matchtable.c.title.match(
'nutshell OR ruby')).\
order_by(matchtable.c.id).execute().fetchall()
eq_([3, 5], [r.id for r in results2])
def test_and_match(self):
results1 = \
matchtable.select().where(and_(
matchtable.c.title.match('python'),
matchtable.c.title.match('nutshell'))).execute().fetchall()
eq_([5], [r.id for r in results1])
results2 = \
matchtable.select().where(
matchtable.c.title.match('python AND nutshell'
)).execute().fetchall()
eq_([5], [r.id for r in results2])
def test_match_across_joins(self):
results = matchtable.select().where(
and_(cattable.c.id == matchtable.c.category_id,
or_(cattable.c.description.match('Ruby'),
matchtable.c.title.match('nutshell')))).\
order_by(matchtable.c.id).execute().fetchall()
eq_([1, 3, 5], [r.id for r in results])
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