sqlalchemy/examples/performance/bulk_inserts.py

from __future__ import annotations

from sqlalchemy import bindparam
from sqlalchemy import Column
from sqlalchemy import create_engine
from sqlalchemy import Identity
from sqlalchemy import insert
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy.orm import declarative_base
from sqlalchemy.orm import Session
from . import Profiler

"""This series of tests illustrates different ways to INSERT a large number
of rows in bulk.


"""

Base = declarative_base()


class Customer(Base):
    __tablename__ = "customer"
    id = Column(Integer, Identity(), primary_key=True)
    name = Column(String(255))
    description = Column(String(255))


Profiler.init("bulk_inserts", num=100000)


@Profiler.setup
def setup_database(dburl, echo, num):
    global engine
    engine = create_engine(dburl, echo=echo)
    Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)


@Profiler.profile
def test_flush_no_pk(n):
    """INSERT statements via the ORM (batched with RETURNING if available),
    fetching generated row id"""
    session = Session(bind=engine)
    for chunk in range(0, n, 1000):
        session.add_all(
            [
                Customer(
                    name="customer name %d" % i,
                    description="customer description %d" % i,
                )
                for i in range(chunk, chunk + 1000)
            ]
        )
        session.flush()
    session.commit()


@Profiler.profile
def test_flush_pk_given(n):
    """Batched INSERT statements via the ORM, PKs already defined"""
    session = Session(bind=engine)
    for chunk in range(0, n, 1000):
        session.add_all(
            [
                Customer(
                    id=i + 1,
                    name="customer name %d" % i,
                    description="customer description %d" % i,
                )
                for i in range(chunk, chunk + 1000)
            ]
        )
        session.flush()
    session.commit()


@Profiler.profile
def test_orm_bulk_insert(n):
    """Batched INSERT statements via the ORM in "bulk", not returning rows"""
    session = Session(bind=engine)
    session.execute(
        insert(Customer),
        [
            {
                "name": "customer name %d" % i,
                "description": "customer description %d" % i,
            }
            for i in range(n)
        ],
    )
    session.commit()


@Profiler.profile
def test_orm_insert_returning(n):
    """Batched INSERT statements via the ORM in "bulk", returning new Customer
    objects"""
    session = Session(bind=engine)

    customer_result = session.scalars(
        insert(Customer).returning(Customer),
        [
            {
                "name": "customer name %d" % i,
                "description": "customer description %d" % i,
            }
            for i in range(n)
        ],
    )

    # this step is where the rows actually become objects
    customers = customer_result.all()  # noqa: F841

    session.commit()


@Profiler.profile
def test_core_insert(n):
    """A single Core INSERT construct inserting mappings in bulk."""
    with engine.begin() as conn:
        conn.execute(
            Customer.__table__.insert(),
            [
                dict(
                    name="customer name %d" % i,
                    description="customer description %d" % i,
                )
                for i in range(n)
            ],
        )


@Profiler.profile
def test_dbapi_raw(n):
    """The DBAPI's API inserting rows in bulk."""

    conn = engine.pool._creator()
    cursor = conn.cursor()
    compiled = (
        Customer.__table__.insert()
        .values(name=bindparam("name"), description=bindparam("description"))
        .compile(dialect=engine.dialect)
    )

    if compiled.positional:
        args = (
            ("customer name %d" % i, "customer description %d" % i)
            for i in range(n)
        )
    else:
        args = (
            dict(
                name="customer name %d" % i,
                description="customer description %d" % i,
            )
            for i in range(n)
        )

    cursor.executemany(str(compiled), list(args))
    conn.commit()
    conn.close()


if __name__ == "__main__":
    Profiler.main()