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https://github.com/sqlalchemy/sqlalchemy.git
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e23c3a8974
(oids used heavily in mapper queries)
95 lines
4.4 KiB
Python
95 lines
4.4 KiB
Python
import testbase
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from sqlalchemy import *
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# TODO: either create a mock dialect with named paramstyle and a short identifier length,
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# or find a way to just use sqlite dialect and make those changes
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class LabelTypeTest(testbase.PersistTest):
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def test_type(self):
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m = MetaData()
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t = Table('sometable', m,
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Column('col1', Integer),
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Column('col2', Float))
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assert isinstance(t.c.col1.label('hi').type, Integer)
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assert isinstance(select([t.c.col2], scalar=True).label('lala').type, Float)
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class LongLabelsTest(testbase.PersistTest):
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def setUpAll(self):
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global metadata, table1
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metadata = MetaData(engine=testbase.db)
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table1 = Table("some_large_named_table", metadata,
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Column("this_is_the_primarykey_column", Integer, Sequence("this_is_some_large_seq"), primary_key=True),
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Column("this_is_the_data_column", String(30))
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)
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metadata.create_all()
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def tearDown(self):
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table1.delete().execute()
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def tearDownAll(self):
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metadata.drop_all()
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def test_result(self):
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table1.insert().execute(**{"this_is_the_primarykey_column":1, "this_is_the_data_column":"data1"})
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table1.insert().execute(**{"this_is_the_primarykey_column":2, "this_is_the_data_column":"data2"})
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table1.insert().execute(**{"this_is_the_primarykey_column":3, "this_is_the_data_column":"data3"})
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table1.insert().execute(**{"this_is_the_primarykey_column":4, "this_is_the_data_column":"data4"})
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r = table1.select(use_labels=True, order_by=[table1.c.this_is_the_primarykey_column]).execute()
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result = []
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for row in r:
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result.append((row[table1.c.this_is_the_primarykey_column], row[table1.c.this_is_the_data_column]))
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assert result == [
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(1, "data1"),
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(2, "data2"),
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(3, "data3"),
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(4, "data4"),
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], repr(result)
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def test_colbinds(self):
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table1.insert().execute(**{"this_is_the_primarykey_column":1, "this_is_the_data_column":"data1"})
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table1.insert().execute(**{"this_is_the_primarykey_column":2, "this_is_the_data_column":"data2"})
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table1.insert().execute(**{"this_is_the_primarykey_column":3, "this_is_the_data_column":"data3"})
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table1.insert().execute(**{"this_is_the_primarykey_column":4, "this_is_the_data_column":"data4"})
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r = table1.select(table1.c.this_is_the_primarykey_column == 4).execute()
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assert r.fetchall() == [(4, "data4")]
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r = table1.select(or_(
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table1.c.this_is_the_primarykey_column == 4,
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table1.c.this_is_the_primarykey_column == 2
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)).execute()
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assert r.fetchall() == [(2, "data2"), (4, "data4")]
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def test_insert_no_pk(self):
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table1.insert().execute(**{"this_is_the_data_column":"data1"})
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table1.insert().execute(**{"this_is_the_data_column":"data2"})
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table1.insert().execute(**{"this_is_the_data_column":"data3"})
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table1.insert().execute(**{"this_is_the_data_column":"data4"})
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def test_subquery(self):
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# this is the test that fails if the "max identifier length" is shorter than the
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# length of the actual columns created, because the column names get truncated.
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# if you try to separate "physical columns" from "labels", and only truncate the labels,
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# the ansisql.visit_select() logic which auto-labels columns in a subquery (for the purposes of sqlite compat) breaks the code,
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# since it is creating "labels" on the fly but not affecting derived columns, which think they are
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# still "physical"
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q = table1.select(table1.c.this_is_the_primarykey_column == 4).alias('foo')
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x = select([q])
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print x.execute().fetchall()
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def test_oid(self):
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"""test that a primary key column compiled as the 'oid' column gets proper length truncation"""
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from sqlalchemy.databases import postgres
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dialect = postgres.PGDialect()
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dialect.max_identifier_length = lambda: 30
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tt = table1.select(use_labels=True).alias('foo')
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x = select([tt], use_labels=True, order_by=tt.oid_column).compile(dialect=dialect)
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#print x
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# assert it doesnt end with "ORDER BY foo.some_large_named_table_this_is_the_primarykey_column"
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assert str(x).endswith("""ORDER BY foo.some_large_named_table_t_1""")
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if __name__ == '__main__':
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testbase.main()
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