Databases + asyncio.
Project description
Databases
Databases gives you simple asyncio support for a range of databases.
Currently PostgreSQL and MySQL are supported.
Requirements: Python 3.6+
Installation
$ pip install databases
You can install the required database drivers with:
$ pip install databases[postgresql]
$ pip install databases[mysql]
Getting started
Declare your tables using SQLAlchemy:
import sqlalchemy
metadata = sqlalchemy.MetaData()
notes = sqlalchemy.Table(
"notes",
metadata,
sqlalchemy.Column("id", sqlalchemy.Integer, primary_key=True),
sqlalchemy.Column("text", sqlalchemy.String(length=100)),
sqlalchemy.Column("completed", sqlalchemy.Boolean),
)
You can use any of the sqlalchemy column types such as sqlalchemy.JSON, or
custom column types.
Queries
You can now use any SQLAlchemy core queries:
from databases import Database
database = Database('postgresql://localhost/example')
# Establish the connection pool
await database.connect()
# Execute
query = notes.insert()
values = {"text": "example1", "completed": True}
await database.execute(query, values)
# Execute many
query = notes.insert()
values = [
{"text": "example2", "completed": False},
{"text": "example3", "completed": True},
]
await database.execute_many(query, values)
# Fetch multiple rows
query = notes.select()
rows = await database.fetch_all(query)
# Fetch single row
query = notes.select()
row = await database.fetch_one(query)
# Fetch multiple rows without loading them all into memory at once
query = notes.select()
async for row in database.iterate(query):
...
Transactions
Transactions are managed by async context blocks:
async with database.transaction():
...
For a lower-level transaction API:
transaction = await database.transaction()
try:
...
except:
transaction.rollback()
else:
transaction.commit()
You can also use .transaction() as a function decorator on any async function:
@database.transaction()
async def create_users(request):
...
Transaction blocks are managed as task-local state. Nested transactions are fully supported, and are implemented using database savepoints.
Connecting and disconnecting
You can control the database connect/disconnect, by using it as a async context manager.
async with Database(DATABASE_URL) as database:
...
Or by using explicit connection and disconnection:
database = Database(DATABASE_URL)
await database.connect()
...
await database.disconnect()
Test isolation
For strict test isolation you will always want to rollback the test database to a clean state between each test case:
database = Database(DATABASE_URL, force_rollback=True)
This will ensure that all database connections are run within a transaction that rollbacks once the database is disconnected.
If you're integrating against a web framework you'll typically want to use something like the following pattern:
if not TESTING:
database = Database(DATABASE_URL)
else:
database = Database(TEST_DATABASE_URL, force_rollback=True)
This will give you test cases that run against a different database to the development database, with strict test isolation so long as you make sure to connect and disconnect to the database between test cases.
For a lower level API you can explicitly create force-rollback transactions:
async with database.transaction(force_rollback=True):
...
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