@文心快码manually create thread pool is better 文心快码 手动创建线程池通常比使用Executors类的方法更好。 手动创建线程池(即使用ThreadPoolExecutor类)相比使用Executors类提供的静态方法,具有更高的灵活性和可控性。以下是手动创建线程池的优势: 更高的灵活性: 手动创建线程池允许你根据具体业务需求灵活配置线程池...
it is single-threaded, which means that in order to be thread-safe, the tc Runtime instance must lock the entire pool, even during query validation. Thus it is not suitable for highly concurrent environments
My service is based on FastAPI and runs under the hood on AnyIO. The app runs through Uvicorn, which uses uvloop under the hood. Here's how I determine the connection to the database: from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession from sqlalchemy.orm import sessionmake...
For example, in my pipeline(s), I need to create manual triggers for each test-vm. I will almost never deploy to every test-vm in a run, only a few selected of them. Therefore, a manual pause step doesn’t make sense. Please remove the “On roadmap” tag, as this is clearly ...