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Database: Add patches and polyfills from application adapters
Sources: MLflow, LangChain, Singer/Meltano, rdflib-sqlalchemy
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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 | ||
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__all__ = [ | ||
check_uniqueness_factory, | ||
insert_bulk, | ||
refresh_table, | ||
] |
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import sqlalchemy as sa | ||
from sqlalchemy.event import listen | ||
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from sqlalchemy_cratedb.support.util import do_flush | ||
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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. | ||
""" | ||
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# Synthesize a canonical "name" for the constraint, | ||
# composed of all column names involved. | ||
constraint_name: str = "-".join(attribute_names) | ||
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def check_uniqueness(mapper, connection, target): | ||
from sqlalchemy.exc import IntegrityError | ||
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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}'" | ||
), | ||
) | ||
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return check_uniqueness | ||
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def polyfill_refresh_after_dml_session(session: sa.orm.Session): | ||
""" | ||
Run `REFRESH TABLE <tablename>` after each INSERT, UPDATE, and DELETE operation. | ||
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): | ||
def receive_after_execute( | ||
conn: sa.engine.Connection, clauseelement, multiparams, params, execution_options, result | ||
): | ||
""" | ||
Run a `REFRESH TABLE ...` command after each DML operation (INSERT, UPDATE, DELETE). | ||
This is used by CrateDB's Singer/Meltano and `rdflib-sqlalchemy` adapters. | ||
""" | ||
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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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import itertools | ||
import typing as t | ||
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import sqlalchemy as sa | ||
from sqlalchemy.orm import DeclarativeBase | ||
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def refresh_table(connection, target: t.Union[str, DeclarativeBase]): | ||
""" | ||
Invoke a `REFRESH TABLE` statement. | ||
""" | ||
if isinstance(target, DeclarativeBase): | ||
sql = f"REFRESH TABLE {target.__tablename__}" | ||
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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import pytest | ||
import sqlalchemy as sa | ||
from sqlalchemy.event import listen | ||
from sqlalchemy.exc import IntegrityError | ||
from sqlalchemy.orm import sessionmaker | ||
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try: | ||
from sqlalchemy.orm import declarative_base | ||
except ImportError: | ||
from sqlalchemy.ext.declarative import declarative_base | ||
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from sqlalchemy_cratedb.support import check_uniqueness_factory | ||
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def test_check_uniqueness_factory(cratedb_service): | ||
""" | ||
An integration test validating basic synthetic UNIQUE constraints. | ||
https://github.com/crate/sqlalchemy-cratedb/issues/76 | ||
""" | ||
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engine = cratedb_service.database.engine | ||
session = sessionmaker(bind=engine)() | ||
Base = declarative_base() | ||
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# Define DDL. | ||
class FooBar(Base): | ||
__tablename__ = 'foobar' | ||
id = sa.Column(sa.String, primary_key=True) | ||
name = sa.Column(sa.String) | ||
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# Add synthetic UNIQUE constraint on `name` column. | ||
listen(FooBar, "before_insert", check_uniqueness_factory(FooBar, "name")) | ||
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Base.metadata.drop_all(engine, checkfirst=True) | ||
Base.metadata.create_all(engine, checkfirst=True) | ||
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# Insert baseline record. | ||
foo_item = FooBar(id="foo", name="foo") | ||
session.add(foo_item) | ||
session.commit() | ||
session.execute(sa.text("REFRESH TABLE foobar")) | ||
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# 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'") |