python-aiofiles

Why is reading and calling an API from a file slower using Python async than synchronously?

蓝咒 提交于 2019-12-13 03:18:14
问题 I have a large file, with a JSON record on each line. I'm writing a script to upload a subset of these records to CouchDB via the API, and experimenting with different approaches to see what works the fastest. Here's what I've found to work fastest to slowest (on a CouchDB instance on my localhost): Read each needed record into memory. After all records are in memory, generate an upload coroutine for each record, and gather/run all the coroutines at once Synchronously read file and when a

Writing files asynchronously

荒凉一梦 提交于 2019-12-04 03:43:34
问题 I've been trying to create a server-process that receives an input file path and an output path from client processes asynchronously. The server does some database-reliant transformations, but for the sake of simplicity let's assume it merely puts everything to the upper case. Here is a toy example of the server: import asyncio import aiofiles as aiof import logging import sys ADDRESS = ("localhost", 10000) logging.basicConfig(level=logging.DEBUG, format="%(name)s: %(message)s", stream=sys