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Postgres integration with asyncio.

Project description

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aiopg is a library for accessing a PostgreSQL database from the asyncio (PEP-3156/tulip) framework. It wraps asynchronous features of the Psycopg database driver.

Example

import asyncio
import aiopg

dsn = 'dbname=aiopg user=aiopg password=passwd host=127.0.0.1'

async def go():
    pool = await aiopg.create_pool(dsn)
    async with pool.acquire() as cur:
        async with conn.cursor() as cur:
            await cur.execute("SELECT 1")
            ret = []
            async for row in cur:
                ret.append(row)
            assert ret == [(1,)]

loop = asyncio.get_event_loop()
loop.run_until_complete(go())

Example of SQLAlchemy optional integration

import asyncio
from aiopg.sa import create_engine
from sqlalchemy.schema import CreateTable
import sqlalchemy as sa

metadata = sa.MetaData()

tbl = sa.Table('tbl', metadata,
    sa.Column('id', sa.Integer, primary_key=True),
    sa.Column('val', sa.String(255)))


@asyncio.coroutine
def go():
    engine = yield from create_engine(user='aiopg',
                                      database='aiopg',
                                      host='127.0.0.1',
                                      password='passwd')

    with (yield from engine) as conn:
        yield from conn.execute(CreateTable(tbl))
        yield from conn.execute(tbl.insert().values(val='abc'))

        res = yield from conn.execute(tbl.select())
        for row in res:
            print(row.id, row.val)


asyncio.get_event_loop().run_until_complete(go())

For yield from based code see ./examples folder, files with old_style part in their names.

Please use:

$ python3 runtests.py

for executing the project’s unittests. See CONTRIBUTING.rst for details on how to set up your environment to run the tests.

CHANGES

0.8.0 (2015-12-31)

  • Add PostgreSQL notification support #58

  • Support pools with unlimited size #59

  • Cancel current DB operation on asyncio timeout #66

  • Add async with support for Pool, Connection, Cursor #88

0.7.0 (2015-04-22)

  • Get rid of resource leak on connection failure.

  • Report ResourceWarning on non-closed connections.

  • Deprecate iteration protocol support in cursor and ResultProxy.

  • Release sa connection to pool on connection.close().

0.6.0 (2015-02-03)

  • Accept dict, list, tuple, named and positional parameters in SAConnection.execute()

0.5.2 (2014-12-08)

  • Minor release, fixes a bug that leaves connection in broken state after cursor.execute() failure.

0.5.1 (2014-10-31)

  • Fix a bug for processing transactions in line.

0.5.0 (2014-10-31)

  • Add .terminate() to Pool and Engine

  • Reimplement connection pool (now pool size cannot be greater than pool.maxsize)

  • Add .close() and .wait_closed() to Pool and Engine

  • Add minsize, maxsize, size and freesize properties to sa.Engine

  • Support echo parameter for logging executed SQL commands

  • Connection.close() is not a coroutine (but we keep backward compatibility).

0.4.1 (2014-10-02)

  • make cursor iterable

  • update docs

0.4.0 (2014-10-02)

  • add timeouts for database operations.

  • Autoregister psycopg2 support for json data type.

  • Support JSON in aiopg.sa

  • Support ARRAY in aiopg.sa

  • Autoregister hstore support if present in connected DB

  • Support HSTORE in aiopg.sa

0.3.2 (2014-07-07)

  • change signature to cursor.execute(operation, parameters=None) to follow psycopg2 convention.

0.3.1 (2014-07-04)

  • Forward arguments to cursor constructor for pooled connections.

0.3.0 (2014-06-22)

  • Allow executing SQLAlchemy DDL statements.

  • Fix bug with race conditions on acquiring/releasing connections from pool.

0.2.3 (2014-06-12)

  • Fix bug in connection pool.

0.2.2 (2014-06-07)

  • Fix bug with passing parameters into SAConnection.execute when executing raw SQL expression.

0.2.1 (2014-05-08)

  • Close connection with invalid transaction status on returning to pool.

0.2.0 (2014-05-04)

  • Implemented optional support for sqlalchemy functional sql layer.

0.1.0 (2014-04-06)

  • Implemented plain connections: connect, Connection, Cursor.

  • Implemented database pools: create_pool and Pool.

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