Simple threaded cassandra wrapper for asyncio
Project description
- info:
Simple threaded cassandra wrapper for asyncio
Installation
pip install aiocassandra
Usage
import asyncio
from aiocassandra import aiosession
from cassandra.cluster import Cluster
from cassandra.query import SimpleStatement
# connection is blocking call
cluster = Cluster()
# aiocassandra uses executor_threads to talk to cassndra driver
# https://datastax.github.io/python-driver/api/cassandra/cluster.html?highlight=executor_threads
session = cluster.connect()
async def main():
# patches and adds `execute_future`, `execute_futures` and `prepare_future`
# to `cassandra.cluster.Session`
aiosession(session)
# best way is to use cassandra prepared statements
# https://cassandra-zone.com/prepared-statements/
# https://datastax.github.io/python-driver/api/cassandra/cluster.html#cassandra.cluster.Session.prepare
# try to create them once on application init
query = session.prepare('SELECT now() FROM system.local;')
# if non-blocking prepared statements is really needed:
query = await session.prepare_future('SELECT now() FROM system.local;')
print(await session.execute_future(query))
# pagination is also supported
query = 'SELECT * FROM system.size_estimates;'
statement = SimpleStatement(query, fetch_size=100)
# don't miss *s* (execute_futureS)
async with session.execute_futures(statement) as paginator:
async for row in paginator:
print(row)
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
cluster.shutdown()
loop.close()
Python 3.5+ is required
Thanks
The library was donated by Ocean S.A.
Thanks to the company for contribution.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aiocassandra-2.0.1.tar.gz
(5.0 kB
view details)
Built Distribution
File details
Details for the file aiocassandra-2.0.1.tar.gz
.
File metadata
- Download URL: aiocassandra-2.0.1.tar.gz
- Upload date:
- Size: 5.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 82a91c8766d9e23b23775ed14eb6322a6f0bc22ddcc2babb17a69e31b46467a9 |
|
MD5 | 50d1a84b808c066c98d0e0cb309af54e |
|
BLAKE2b-256 | 87445c0e978ad16ba1d75c02dd5cb6030833b42cc248b11bf15fdd82b0544951 |
File details
Details for the file aiocassandra-2.0.1-py2.py3-none-any.whl
.
File metadata
- Download URL: aiocassandra-2.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 6.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bd9b95c60e0c729266041c4f5407ccf07c647f945bf2bfdb889989222ba14578 |
|
MD5 | f0914b49ae67e1fb9b59b8d7aa54743b |
|
BLAKE2b-256 | 676a86bcb47ec5283f7076500d0ec7d6a78abbdbc10223cee59a2fb49984886d |