mirror of
https://github.com/sqlalchemy/sqlalchemy.git
synced 2026-05-15 21:27:23 -04:00
e860060866
This change includes mainly that the bracketed use within select() is moved to positional, and keyword arguments are removed from calls to the select() function. it does not yet fully address other issues such as keyword arguments passed to the table.select(). Additionally, allows False / None to both be considered as "disable" for all of select.correlate(), select.correlate_except(), query.correlate(), which establishes consistency with passing of ``False`` for the legact select(correlate=False) argument. Change-Id: Ie6c6e6abfbd3d75d4c8de504c0cf0159e6999108
209 lines
5.8 KiB
Python
209 lines
5.8 KiB
Python
"""This series of tests illustrates different ways to SELECT a single
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record by primary key
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"""
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import random
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from sqlalchemy import bindparam
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from sqlalchemy import Column
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from sqlalchemy import create_engine
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from sqlalchemy import Integer
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from sqlalchemy import select
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from sqlalchemy import String
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from sqlalchemy.ext import baked
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.future import select as future_select
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from sqlalchemy.orm import deferred
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from sqlalchemy.orm import Session
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from sqlalchemy.sql import lambdas
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from . import Profiler
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Base = declarative_base()
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engine = None
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ids = range(1, 11000)
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class Customer(Base):
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__tablename__ = "customer"
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id = Column(Integer, primary_key=True)
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name = Column(String(255))
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description = Column(String(255))
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q = Column(Integer)
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p = Column(Integer)
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x = deferred(Column(Integer))
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y = deferred(Column(Integer))
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z = deferred(Column(Integer))
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Profiler.init("short_selects", num=10000)
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@Profiler.setup
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def setup_database(dburl, echo, num):
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global engine
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engine = create_engine(dburl, echo=echo)
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Base.metadata.drop_all(engine)
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Base.metadata.create_all(engine)
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sess = Session(engine)
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sess.add_all(
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[
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Customer(
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id=i,
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name="c%d" % i,
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description="c%d" % i,
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q=i * 10,
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p=i * 20,
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x=i * 30,
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y=i * 40,
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)
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for i in ids
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]
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)
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sess.commit()
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@Profiler.profile
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def test_orm_query_classic_style(n):
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"""classic ORM query of the full entity."""
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session = Session(bind=engine)
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for id_ in random.sample(ids, n):
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session.query(Customer).filter(Customer.id == id_).one()
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@Profiler.profile
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def test_orm_query_new_style(n):
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"""new style ORM select() of the full entity."""
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session = Session(bind=engine)
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for id_ in random.sample(ids, n):
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stmt = future_select(Customer).where(Customer.id == id_)
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session.execute(stmt).scalar_one()
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@Profiler.profile
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def test_orm_query_new_style_using_embedded_lambdas(n):
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"""new style ORM select() of the full entity w/ embedded lambdas."""
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session = Session(bind=engine)
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for id_ in random.sample(ids, n):
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stmt = future_select(lambda: Customer).where(
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lambda: Customer.id == id_
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)
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session.execute(stmt).scalar_one()
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@Profiler.profile
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def test_orm_query_new_style_using_external_lambdas(n):
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"""new style ORM select() of the full entity w/ external lambdas."""
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session = Session(bind=engine)
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for id_ in random.sample(ids, n):
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stmt = lambdas.lambda_stmt(lambda: future_select(Customer))
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stmt += lambda s: s.where(Customer.id == id_)
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session.execute(stmt).scalar_one()
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@Profiler.profile
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def test_orm_query_classic_style_cols_only(n):
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"""classic ORM query against columns"""
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session = Session(bind=engine)
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for id_ in random.sample(ids, n):
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session.query(Customer.id, Customer.name, Customer.description).filter(
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Customer.id == id_
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).one()
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@Profiler.profile
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def test_orm_query_new_style_ext_lambdas_cols_only(n):
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"""new style ORM query w/ external lambdas against columns."""
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s = Session(bind=engine)
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for id_ in random.sample(ids, n):
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stmt = lambdas.lambda_stmt(
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lambda: future_select(
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Customer.id, Customer.name, Customer.description
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)
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) + (lambda s: s.filter(Customer.id == id_))
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s.execute(stmt).one()
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@Profiler.profile
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def test_baked_query(n):
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"""test a baked query of the full entity."""
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bakery = baked.bakery()
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s = Session(bind=engine)
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for id_ in random.sample(ids, n):
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q = bakery(lambda s: s.query(Customer))
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q += lambda q: q.filter(Customer.id == bindparam("id"))
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q(s).params(id=id_).one()
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@Profiler.profile
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def test_baked_query_cols_only(n):
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"""test a baked query of only the entity columns."""
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bakery = baked.bakery()
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s = Session(bind=engine)
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for id_ in random.sample(ids, n):
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q = bakery(
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lambda s: s.query(Customer.id, Customer.name, Customer.description)
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)
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q += lambda q: q.filter(Customer.id == bindparam("id"))
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q(s).params(id=id_).one()
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@Profiler.profile
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def test_core_new_stmt_each_time(n):
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"""test core, creating a new statement each time."""
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with engine.connect() as conn:
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for id_ in random.sample(ids, n):
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stmt = select(Customer.__table__).where(Customer.id == id_)
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row = conn.execute(stmt).first()
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tuple(row)
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@Profiler.profile
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def test_core_new_stmt_each_time_compiled_cache(n):
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"""test core, creating a new statement each time, but using the cache."""
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compiled_cache = {}
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with engine.connect().execution_options(
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compiled_cache=compiled_cache
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) as conn:
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for id_ in random.sample(ids, n):
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stmt = select(Customer.__table__).where(Customer.id == id_)
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row = conn.execute(stmt).first()
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tuple(row)
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@Profiler.profile
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def test_core_reuse_stmt(n):
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"""test core, reusing the same statement (but recompiling each time)."""
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stmt = select(Customer.__table__).where(Customer.id == bindparam("id"))
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with engine.connect() as conn:
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for id_ in random.sample(ids, n):
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row = conn.execute(stmt, id=id_).first()
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tuple(row)
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@Profiler.profile
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def test_core_reuse_stmt_compiled_cache(n):
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"""test core, reusing the same statement + compiled cache."""
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stmt = select(Customer.__table__).where(Customer.id == bindparam("id"))
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compiled_cache = {}
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with engine.connect().execution_options(
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compiled_cache=compiled_cache
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) as conn:
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for id_ in random.sample(ids, n):
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row = conn.execute(stmt, id=id_).first()
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tuple(row)
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if __name__ == "__main__":
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Profiler.main()
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