The fastest asyncio redis client library that you probably shouldn't use.
import asyncio
from sider import RedisClient
async def main():
client = await RedisClient().connect()
await client.set("hello", "world")
value = await client.get("hello")
print(value)
if __name__ == "__main__":
asyncio.run(main())
import asyncio
from sider import RedisClient
async def main():
client = await RedisClient().connect()
# create a bunch of items
items = [str(n) for n in range(10_000)]
# set a bunch of items
with client.pipeline() as p:
for item in items:
p.command("SET", item, item)
results = await p.execute(ignore_results=True)
# read back a bunch of items
with client.pipeline() as p:
for item in items:
p.command("GET", item)
results = await p.execute()
assert results == items
if __name__ == "__main__":
asyncio.run(main())
import asyncio
import random
from sider import RedisPool
async def main() -> None:
pool = RedisPool(size=2)
async def pool_consumer(n: int) -> None:
async with pool.acquire() as c:
await c.set(f"key-{n+1}", f"val-{n+1}")
assert await c.get(f"key-{n+1}") == f"val-{n+1}"
await asyncio.sleep(random.random())
print(f"pool consumer {n+1} complete")
await asyncio.gather(*[pool_consumer(n) for n in range(8)])
await pool.drain()
if __name__ == "__main__":
asyncio.run(main())
according to this (informal) benchmark, sider's performance remains consistent while aioredis' performance degrades somewhat as the number of commands in the pipeline/transaction increases.
% pip3 freeze | grep redis
hiredis==2.3.2
redis==5.0.4
% python3 examples/multi_bench.py
[redis pipeline ] 100 iterations, 6.7µs/it, total: 0.7ms
[redis transaction ] 100 iterations, 6.5µs/it, total: 0.6ms
[sider pipeline ] 100 iterations, 4.6µs/it, total: 0.5ms
[sider transaction ] 100 iterations, 4.8µs/it, total: 0.5ms
[redis pipeline ] 1000 iterations, 5.8µs/it, total: 5.8ms
[redis transaction ] 1000 iterations, 4.3µs/it, total: 4.3ms
[sider pipeline ] 1000 iterations, 1.9µs/it, total: 1.9ms
[sider transaction ] 1000 iterations, 2.4µs/it, total: 2.4ms
[redis pipeline ] 10000 iterations, 4.2µs/it, total: 42.4ms
[redis transaction ] 10000 iterations, 4.2µs/it, total: 41.7ms
[sider pipeline ] 10000 iterations, 2.3µs/it, total: 23.4ms
[sider transaction ] 10000 iterations, 2.0µs/it, total: 20.0ms
[redis pipeline ] 100000 iterations, 4.2µs/it, total: 419.2ms
[redis transaction ] 100000 iterations, 3.9µs/it, total: 385.9ms
[sider pipeline ] 100000 iterations, 1.6µs/it, total: 158.6ms
[sider transaction ] 100000 iterations, 1.8µs/it, total: 180.4ms
[redis pipeline ] 500000 iterations, 4.1µs/it, total: 2050.1ms
[redis transaction ] 500000 iterations, 4.0µs/it, total: 2019.4ms
[sider pipeline ] 500000 iterations, 1.4µs/it, total: 721.6ms
[sider transaction ] 500000 iterations, 2.2µs/it, total: 1087.4ms