Swagger cache fills itself up without boundaries about etcd3-py HOT 3 OPEN

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from etcd3-py.

If I modify the previous example to use the same client everywhere, I do not have any issue with the memory footprint being too high.

See the following modifications:

import asyncio
from etcd3 import AioClient


async def read_db(client):
    while True:
        resp = await client.range("/")


async def all_run(concurrent=10):
    """Run many reads concurrently
    """
    client = None
    try:
        client = AioClient()

        await asyncio.gather(
            *(read_db(client) for i in range(concurrent)),
            return_exceptions=False,
        )
    finally:
        if client:
            await client.close()


def main():
    loop = asyncio.get_event_loop()
    try:
        result = loop.run_until_complete(all_run())
    except asyncio.CancelledError:
        pass
    finally:
        loop.close()


main()

However, would it be best practice to use the same AioClient for a web server with several concurrent requests?

from etcd3-py.

That might be the solution.

But I'll have to dig into it to find the cause.

Actually the "swagger cache" was just a temporary solution. My goal is to auto generate data model class from the swagger spec. Instead of generate model class at runtime. That, the cache won't be a problem

from etcd3-py.