mirror of
https://github.com/sqlalchemy/sqlalchemy.git
synced 2026-05-09 02:09:53 -04:00
66d55b5199
Fixed the "short_selects" performance example where the cache was being used in all the examples, making it impossible to compare performance with and without the cache. Less important comparisons like "lambdas" and "baked queries" have been removed. Change-Id: Ia55391ba23e01d2ed136c84f9c34bb16689ce10e
179 lines
5.0 KiB
Python
179 lines
5.0 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 Identity
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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.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 . 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, Identity(), 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, query_cache_size=0)
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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, no cache"""
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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_classic_style_w_cache(n):
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"""classic ORM query of the full entity, using cache"""
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cache = {}
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session = Session(bind=engine.execution_options(compiled_cache=cache))
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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, no cache."""
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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_cache(n):
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"""new style ORM select() of the full entity, using cache."""
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cache = {}
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session = Session(bind=engine.execution_options(compiled_cache=cache))
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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_classic_style_cols_only(n):
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"""classic ORM query against columns, no cache"""
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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_classic_style_cols_only_cache(n):
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"""classic ORM query against columns, using cache"""
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cache = {}
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session = Session(bind=engine.execution_options(compiled_cache=cache))
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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_core_new_stmt_each_time(n):
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"""test core, creating a new statement each time, no cache"""
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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, using 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, no cache"""
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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, using 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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