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Database: Add patches and polyfills from application adapters
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Sources: MLflow, LangChain, Singer/Meltano, rdflib-sqlalchemy
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amotl committed Jun 18, 2024
1 parent 4d922f7 commit 8158fa6
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4 changes: 4 additions & 0 deletions src/sqlalchemy_cratedb/support/__init__.py
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from sqlalchemy_cratedb.support.pandas import insert_bulk
from sqlalchemy_cratedb.support.polyfill import check_uniqueness_factory
from sqlalchemy_cratedb.support.util import refresh_table

__all__ = [
check_uniqueness_factory,
insert_bulk,
refresh_table,
]
129 changes: 129 additions & 0 deletions src/sqlalchemy_cratedb/support/polyfill.py
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import sqlalchemy as sa
from sqlalchemy.event import listen
import typing as t

from sqlalchemy_cratedb.support.util import do_flush


def polyfill_autoincrement_timestamp():
"""
Configure SQLAlchemy model columns with an alternative to `autoincrement=True`.
Use the current timestamp instead.
This is used by CrateDB's MLflow adapter.
TODO: Maybe enable through a dialect parameter `crate_polyfill_autoincrement` or such.
"""
import sqlalchemy.sql.schema as schema
from sqlalchemy import func

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init_dist = schema.Column.__init__

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def __init__(self, *args, **kwargs):
if "autoincrement" in kwargs:
del kwargs["autoincrement"]
if "default" not in kwargs:
kwargs["default"] = func.now()
init_dist(self, *args, **kwargs)

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schema.Column.__init__ = __init__ # type: ignore[method-assign]

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def check_uniqueness_factory(sa_entity, *attribute_names):
"""
Run a manual column value uniqueness check on a table, and raise an IntegrityError if applicable.
CrateDB does not support the UNIQUE constraint on columns. This attempts to emulate it.
https://github.com/crate/sqlalchemy-cratedb/issues/76
This is used by CrateDB's MLflow adapter.
TODO: Maybe enable through a dialect parameter `crate_polyfill_unique` or such.
"""

# Synthesize a canonical "name" for the constraint,
# composed of all column names involved.
constraint_name: str = "-".join(attribute_names)

def check_uniqueness(mapper, connection, target):
from sqlalchemy.exc import IntegrityError

if isinstance(target, sa_entity):
# TODO: How to use `session.query(SqlExperiment)` here?
stmt = mapper.selectable.select()
for attribute_name in attribute_names:
stmt = stmt.filter(getattr(sa_entity, attribute_name) == getattr(target, attribute_name))
stmt = stmt.compile(bind=connection.engine)
results = connection.execute(stmt)
if results.rowcount > 0:
raise IntegrityError(
statement=stmt,
params=[],
orig=Exception(
f"DuplicateKeyException in table '{target.__tablename__}' " f"on constraint '{constraint_name}'"
),
)

return check_uniqueness


def polyfill_refresh_after_dml_session(session: sa.orm.Session):
"""
Run `REFRESH TABLE` after each DML operation (INSERT, UPDATE, DELETE).
CrateDB is eventually consistent, i.e. write operations are not flushed to
disk immediately, so readers may see stale data. In a traditional OLTP-like
application, this is not applicable.
This SQLAlchemy extension makes sure that data is synchronized after each
operation manipulating data.
> `after_{insert,update,delete}` events only apply to the session flush operation
> and do not apply to the ORM DML operations described at ORM-Enabled INSERT,
> UPDATE, and DELETE statements. To intercept ORM DML events, use
> `SessionEvents.do_orm_execute().`
> -- https://docs.sqlalchemy.org/en/20/orm/events.html#sqlalchemy.orm.MapperEvents.after_insert
> Intercept statement executions that occur on behalf of an ORM Session object.
> -- https://docs.sqlalchemy.org/en/20/orm/events.html#sqlalchemy.orm.SessionEvents.do_orm_execute
> Execute after flush has completed, but before commit has been called.
> -- https://docs.sqlalchemy.org/en/20/orm/events.html#sqlalchemy.orm.SessionEvents.after_flush
This is used by CrateDB's LangChain adapter.
TODO: Maybe enable through a dialect parameter `crate_dml_refresh` or such.
""" # noqa: E501
listen(session, "after_flush", do_flush)

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def polyfill_refresh_after_dml_engine(engine: sa.engine.Engine):
"""
Run `REFRESH TABLE` after each DML operation (INSERT, UPDATE, DELETE).
This is used by CrateDB's Singer/Meltano and `rdflib-sqlalchemy` adapters.
"""
def receive_after_execute(

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conn: sa.engine.Connection, clauseelement, multiparams, params, execution_options, result
):
if isinstance(clauseelement, (sa.sql.Insert, sa.sql.Update, sa.sql.Delete)):
if not isinstance(clauseelement.table, sa.sql.Join):
full_table_name = f'"{clauseelement.table.name}"'
if clauseelement.table.schema is not None:
full_table_name = f'"{clauseelement.table.schema}".' + full_table_name
conn.execute(sa.text(f'REFRESH TABLE {full_table_name};'))

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sa.event.listen(engine, "after_execute", receive_after_execute)

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def polyfill_refresh_after_dml(engine_or_session: t.Union[sa.engine.Engine, sa.orm.Session]):
"""
Run `REFRESH TABLE` after each DML operation (INSERT, UPDATE, DELETE).
"""
if isinstance(engine_or_session, sa.engine.Engine):
return polyfill_refresh_after_dml_engine(engine_or_session)

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elif isinstance(engine_or_session, sa.orm.Session):
return polyfill_refresh_after_dml_session(engine_or_session)

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else:
raise TypeError(f"Unknown type: {type(engine_or_session)}")

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29 changes: 29 additions & 0 deletions src/sqlalchemy_cratedb/support/util.py
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import itertools
import typing as t

import sqlalchemy as sa
from sqlalchemy.orm import DeclarativeBase


def refresh_table(connection, target: t.Union[str, DeclarativeBase]):
"""
Invoke a `REFRESH TABLE` statement.
"""
if isinstance(target, DeclarativeBase):
sql = f"REFRESH TABLE {target.__tablename__}"

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else:
sql = f"REFRESH TABLE {target}"
connection.execute(sa.text(sql))

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def do_flush(session, flush_context):
"""
Invoke a `REFRESH TABLE` statement on each table entity flagged as "dirty".
SQLAlchemy event handler for the 'after_flush' event,
invoking `REFRESH TABLE` on each table which has been modified.
"""
dirty_entities = itertools.chain(session.new, session.dirty, session.deleted)
dirty_classes = {entity.__class__ for entity in dirty_entities}
for class_ in dirty_classes:
refresh_table(session, class_)

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1 change: 1 addition & 0 deletions tests/integration.py
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Expand Up @@ -124,6 +124,7 @@ def drop_tables():
"DROP TABLE IF EXISTS archived_tasks",
"DROP TABLE IF EXISTS characters",
"DROP TABLE IF EXISTS cities",
"DROP TABLE IF EXISTS foobar",
"DROP TABLE IF EXISTS locations",
"DROP BLOB TABLE IF EXISTS myfiles",
"DROP TABLE IF EXISTS search",
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49 changes: 49 additions & 0 deletions tests/test_support_polyfill.py
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import pytest
import sqlalchemy as sa
from sqlalchemy.event import listen
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import sessionmaker

try:
from sqlalchemy.orm import declarative_base
except ImportError:
from sqlalchemy.ext.declarative import declarative_base

from sqlalchemy_cratedb.support import check_uniqueness_factory


def test_check_uniqueness_factory(cratedb_service):
"""
An integration test validating basic synthetic UNIQUE constraints.
https://github.com/crate/sqlalchemy-cratedb/issues/76
"""

engine = cratedb_service.database.engine
session = sessionmaker(bind=engine)()
Base = declarative_base()

# Define DDL.
class FooBar(Base):
__tablename__ = 'foobar'
id = sa.Column(sa.String, primary_key=True)
name = sa.Column(sa.String)

# Add synthetic UNIQUE constraint on `name` column.
listen(FooBar, "before_insert", check_uniqueness_factory(FooBar, "name"))

Base.metadata.drop_all(engine, checkfirst=True)
Base.metadata.create_all(engine, checkfirst=True)

# Insert baseline record.
foo_item = FooBar(id="foo", name="foo")
session.add(foo_item)
session.commit()
session.execute(sa.text("REFRESH TABLE foobar"))

# Insert second record, violating the uniqueness constraint.
bar_item = FooBar(id="bar", name="foo")
session.add(bar_item)
with pytest.raises(IntegrityError) as ex:
session.commit()
assert ex.match("DuplicateKeyException in table 'foobar' on constraint 'name'")

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