mirror of
https://github.com/sqlalchemy/sqlalchemy.git
synced 2026-05-15 05:07:16 -04:00
c315c7401a
Fixed bug in newly implemented :paramref:`.FunctionElement.table_valued.joins_implicitly` feature where the parameter would not automatically propagate from the original :class:`.TableValuedAlias` object to the secondary object produced when calling upon :meth:`.TableValuedAlias.render_derived` or :meth:`.TableValuedAlias.alias`. Additionally repaired these issues in :class:`.TableValuedAlias`: * repaired a potential memory issue which could occur when repeatedly calling :meth:`.TableValuedAlias.render_derived` against successive copies of the same object (for .alias(), we currently have to still continue chaining from the previous element. not sure if this can be improved but this is standard behavior for .alias() elsewhere) * repaired issue where the individual element types would be lost when calling upon :meth:`.TableValuedAlias.render_derived` or :meth:`.TableValuedAlias.alias`. Fixes: #7890 Change-Id: Ie5120c7ff1e5c1bba5aaf77c782a51c637860208
437 lines
14 KiB
Python
437 lines
14 KiB
Python
from sqlalchemy import column
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from sqlalchemy import func
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from sqlalchemy import Integer
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from sqlalchemy import JSON
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from sqlalchemy import select
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from sqlalchemy import sql
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from sqlalchemy import table
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from sqlalchemy import testing
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from sqlalchemy import true
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from sqlalchemy.testing import config
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from sqlalchemy.testing import engines
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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 import is_
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from sqlalchemy.testing.schema import Column
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from sqlalchemy.testing.schema import Table
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def find_unmatching_froms(query, start=None):
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compiled = query.compile(linting=sql.COLLECT_CARTESIAN_PRODUCTS)
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return compiled.from_linter.lint(start)
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class TestFindUnmatchingFroms(fixtures.TablesTest):
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@classmethod
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def define_tables(cls, metadata):
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Table("table_a", metadata, Column("col_a", Integer, primary_key=True))
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Table("table_b", metadata, Column("col_b", Integer, primary_key=True))
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Table("table_c", metadata, Column("col_c", Integer, primary_key=True))
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Table("table_d", metadata, Column("col_d", Integer, primary_key=True))
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def setup_test(self):
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self.a = self.tables.table_a
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self.b = self.tables.table_b
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self.c = self.tables.table_c
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self.d = self.tables.table_d
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def test_everything_is_connected(self):
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query = (
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select(self.a)
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.select_from(self.a.join(self.b, self.a.c.col_a == self.b.c.col_b))
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.select_from(self.c)
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.select_from(self.d)
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.where(self.d.c.col_d == self.b.c.col_b)
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.where(self.c.c.col_c == self.d.c.col_d)
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.where(self.c.c.col_c == 5)
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)
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froms, start = find_unmatching_froms(query)
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assert not froms
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for start in self.a, self.b, self.c, self.d:
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froms, start = find_unmatching_froms(query, start)
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assert not froms
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def test_plain_cartesian(self):
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query = select(self.a).where(self.b.c.col_b == 5)
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froms, start = find_unmatching_froms(query, self.a)
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assert start == self.a
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assert froms == {self.b}
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froms, start = find_unmatching_froms(query, self.b)
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assert start == self.b
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assert froms == {self.a}
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@testing.combinations(("lateral",), ("cartesian",), ("join",))
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def test_lateral_subqueries(self, control):
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"""
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::
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test=> create table a (id integer);
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CREATE TABLE
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test=> create table b (id integer);
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CREATE TABLE
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test=> insert into a(id) values (1), (2), (3);
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INSERT 0 3
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test=> insert into b(id) values (1), (2), (3);
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INSERT 0 3
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test=> select * from (select id from a) as a1,
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lateral (select id from b where id=a1.id) as b1;
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id | id
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----+----
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1 | 1
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2 | 2
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3 | 3
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(3 rows)
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"""
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p1 = select(self.a).subquery()
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p2 = select(self.b).where(self.b.c.col_b == p1.c.col_a).subquery()
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if control == "lateral":
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p2 = p2.lateral()
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query = select(p1, p2)
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if control == "join":
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query = query.join_from(p1, p2, p1.c.col_a == p2.c.col_b)
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froms, start = find_unmatching_froms(query, p1)
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if control == "cartesian":
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assert start is p1
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assert froms == {p2}
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else:
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assert start is None
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assert froms is None
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froms, start = find_unmatching_froms(query, p2)
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if control == "cartesian":
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assert start is p2
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assert froms == {p1}
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else:
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assert start is None
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assert froms is None
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def test_lateral_subqueries_w_joins(self):
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p1 = select(self.a).subquery()
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p2 = (
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select(self.b)
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.where(self.b.c.col_b == p1.c.col_a)
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.subquery()
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.lateral()
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)
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p3 = (
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select(self.c)
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.where(self.c.c.col_c == p1.c.col_a)
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.subquery()
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.lateral()
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)
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query = select(p1, p2, p3).join_from(p1, p2, true()).join(p3, true())
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for p in (p1, p2, p3):
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froms, start = find_unmatching_froms(query, p)
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assert start is None
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assert froms is None
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def test_lateral_subqueries_ok_do_we_still_find_cartesians(self):
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p1 = select(self.a).subquery()
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p3 = select(self.a).subquery()
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p2 = select(self.b).where(self.b.c.col_b == p3.c.col_a).subquery()
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p2 = p2.lateral()
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query = select(p1, p2, p3)
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froms, start = find_unmatching_froms(query, p1)
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assert start is p1
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assert froms == {p2, p3}
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froms, start = find_unmatching_froms(query, p2)
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assert start is p2
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assert froms == {p1}
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froms, start = find_unmatching_froms(query, p3)
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assert start is p3
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assert froms == {p1}
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@testing.combinations(
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"render_derived", "alias", None, argnames="additional_transformation"
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)
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@testing.combinations(True, False, argnames="joins_implicitly")
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def test_table_valued(
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self,
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joins_implicitly,
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additional_transformation,
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):
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"""test #7845"""
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my_table = table(
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"tbl",
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column("id", Integer),
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column("data", JSON()),
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)
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sub_dict = my_table.c.data["d"]
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tv = func.json_each(sub_dict)
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tv = tv.table_valued("key", joins_implicitly=joins_implicitly)
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if additional_transformation == "render_derived":
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tv = tv.render_derived(name="tv", with_types=True)
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elif additional_transformation == "alias":
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tv = tv.alias()
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has_key = tv.c.key == "f"
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stmt = select(my_table.c.id).where(has_key)
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froms, start = find_unmatching_froms(stmt, my_table)
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if joins_implicitly:
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is_(start, None)
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is_(froms, None)
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else:
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assert start == my_table
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assert froms == {tv}
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def test_count_non_eq_comparison_operators(self):
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query = select(self.a).where(self.a.c.col_a > self.b.c.col_b)
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froms, start = find_unmatching_froms(query, self.a)
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is_(start, None)
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is_(froms, None)
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def test_dont_count_non_comparison_operators(self):
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query = select(self.a).where(self.a.c.col_a + self.b.c.col_b == 5)
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froms, start = find_unmatching_froms(query, self.a)
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assert start == self.a
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assert froms == {self.b}
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def test_disconnect_between_ab_cd(self):
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query = (
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select(self.a)
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.select_from(self.a.join(self.b, self.a.c.col_a == self.b.c.col_b))
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.select_from(self.c)
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.select_from(self.d)
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.where(self.c.c.col_c == self.d.c.col_d)
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.where(self.c.c.col_c == 5)
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)
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for start in self.a, self.b:
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froms, start = find_unmatching_froms(query, start)
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assert start == start
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assert froms == {self.c, self.d}
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for start in self.c, self.d:
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froms, start = find_unmatching_froms(query, start)
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assert start == start
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assert froms == {self.a, self.b}
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def test_c_and_d_both_disconnected(self):
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query = (
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select(self.a)
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.select_from(self.a.join(self.b, self.a.c.col_a == self.b.c.col_b))
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.where(self.c.c.col_c == 5)
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.where(self.d.c.col_d == 10)
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)
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for start in self.a, self.b:
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froms, start = find_unmatching_froms(query, start)
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assert start == start
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assert froms == {self.c, self.d}
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froms, start = find_unmatching_froms(query, self.c)
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assert start == self.c
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assert froms == {self.a, self.b, self.d}
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froms, start = find_unmatching_froms(query, self.d)
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assert start == self.d
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assert froms == {self.a, self.b, self.c}
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def test_now_connected(self):
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query = (
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select(self.a)
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.select_from(self.a.join(self.b, self.a.c.col_a == self.b.c.col_b))
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.select_from(self.c.join(self.d, self.c.c.col_c == self.d.c.col_d))
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.where(self.c.c.col_c == self.b.c.col_b)
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.where(self.c.c.col_c == 5)
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.where(self.d.c.col_d == 10)
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)
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froms, start = find_unmatching_froms(query)
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assert not froms
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for start in self.a, self.b, self.c, self.d:
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froms, start = find_unmatching_froms(query, start)
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assert not froms
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def test_disconnected_subquery(self):
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subq = (
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select(self.a).where(self.a.c.col_a == self.b.c.col_b).subquery()
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)
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stmt = select(self.c).select_from(subq)
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froms, start = find_unmatching_froms(stmt, self.c)
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assert start == self.c
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assert froms == {subq}
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froms, start = find_unmatching_froms(stmt, subq)
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assert start == subq
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assert froms == {self.c}
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def test_now_connect_it(self):
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subq = (
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select(self.a).where(self.a.c.col_a == self.b.c.col_b).subquery()
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)
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stmt = (
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select(self.c)
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.select_from(subq)
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.where(self.c.c.col_c == subq.c.col_a)
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)
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froms, start = find_unmatching_froms(stmt)
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assert not froms
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for start in self.c, subq:
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froms, start = find_unmatching_froms(stmt, start)
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assert not froms
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def test_right_nested_join_without_issue(self):
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query = select(self.a).select_from(
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self.a.join(
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self.b.join(self.c, self.b.c.col_b == self.c.c.col_c),
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self.a.c.col_a == self.b.c.col_b,
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)
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)
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froms, start = find_unmatching_froms(query)
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assert not froms
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for start in self.a, self.b, self.c:
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froms, start = find_unmatching_froms(query, start)
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assert not froms
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def test_join_on_true(self):
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# test that a join(a, b) counts a->b as an edge even if there isn't
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# actually a join condition. this essentially allows a cartesian
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# product to be added explicitly.
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query = select(self.a).select_from(self.a.join(self.b, true()))
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froms, start = find_unmatching_froms(query)
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assert not froms
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def test_join_on_true_muti_levels(self):
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"""test #6886"""
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# test that a join(a, b).join(c) counts b->c as an edge even if there
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# isn't actually a join condition. this essentially allows a cartesian
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# product to be added explicitly.
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query = select(self.a, self.b, self.c).select_from(
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self.a.join(self.b, true()).join(self.c, true())
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)
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froms, start = find_unmatching_froms(query)
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assert not froms
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def test_right_nested_join_with_an_issue(self):
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query = (
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select(self.a)
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.select_from(
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self.a.join(
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self.b.join(self.c, self.b.c.col_b == self.c.c.col_c),
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self.a.c.col_a == self.b.c.col_b,
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)
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)
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.where(self.d.c.col_d == 5)
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)
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for start in self.a, self.b, self.c:
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froms, start = find_unmatching_froms(query, start)
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assert start == start
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assert froms == {self.d}
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froms, start = find_unmatching_froms(query, self.d)
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assert start == self.d
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assert froms == {self.a, self.b, self.c}
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def test_no_froms(self):
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query = select(1)
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froms, start = find_unmatching_froms(query)
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assert not froms
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class TestLinter(fixtures.TablesTest):
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@classmethod
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def define_tables(cls, metadata):
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Table("table_a", metadata, Column("col_a", Integer, primary_key=True))
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Table("table_b", metadata, Column("col_b", Integer, primary_key=True))
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@classmethod
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def setup_bind(cls):
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# from linting is enabled by default
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return config.db
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def test_noop_for_unhandled_objects(self):
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with self.bind.connect() as conn:
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conn.exec_driver_sql("SELECT 1;").fetchone()
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def test_does_not_modify_query(self):
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with self.bind.connect() as conn:
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[result] = conn.execute(select(1)).fetchone()
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assert result == 1
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def test_warn_simple(self):
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a, b = self.tables("table_a", "table_b")
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query = select(a.c.col_a).where(b.c.col_b == 5)
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with expect_warnings(
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r"SELECT statement has a cartesian product between FROM "
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r'element\(s\) "table_[ab]" '
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r'and FROM element "table_[ba]"'
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):
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with self.bind.connect() as conn:
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conn.execute(query)
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def test_warn_anon_alias(self):
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a, b = self.tables("table_a", "table_b")
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b_alias = b.alias()
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query = select(a.c.col_a).where(b_alias.c.col_b == 5)
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with expect_warnings(
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r"SELECT statement has a cartesian product between FROM "
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r'element\(s\) "table_(?:a|b_1)" '
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r'and FROM element "table_(?:a|b_1)"'
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):
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with self.bind.connect() as conn:
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conn.execute(query)
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def test_warn_anon_cte(self):
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a, b = self.tables("table_a", "table_b")
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b_cte = select(b).cte()
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query = select(a.c.col_a).where(b_cte.c.col_b == 5)
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with expect_warnings(
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r"SELECT statement has a cartesian product between "
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r"FROM element\(s\) "
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r'"(?:anon_1|table_a)" '
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r'and FROM element "(?:anon_1|table_a)"'
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):
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with self.bind.connect() as conn:
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conn.execute(query)
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def test_no_linting(self, metadata, connection):
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eng = engines.testing_engine(
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options={"enable_from_linting": False, "use_reaper": False}
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)
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eng.pool = self.bind.pool # needed for SQLite
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a, b = self.tables("table_a", "table_b")
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query = select(a.c.col_a).where(b.c.col_b == 5)
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with eng.connect() as conn:
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conn.execute(query)
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