Concurrency is when two or more tasks can start, run, and complete in overlapping time periods. It doesn't necessarily mean they'll ever both be running at the same instant. For example, multitasking on a single-core machine. Parallelism is when tasks literally run at the same time, e.g., on a multicore processor.
Concurrency is having two tasks run in parallel on separate threads. However, asynchronous methods run in parallel but on the same 1 thread. How is this achieved? Also, what about parallelism? Wha...
Can someone explain how concurrency works on GitHub Actions at the job level and workflow level?
The first statement doesn't update anything, but it increments the rowversion, and it will throw a concurrency exception if the rowversion was changed in-between.
task_concurrency controls the maximum parallel runs of that one specific task across your Airflow instance. That means if you configure task_concurrency=10, you limit every partner_{partner['id']}_athena_insert task to at most 10 parallel runs.
Furthermore, it actually reduces concurrency because nobody else can read or write any of the data while the transaction is running! In particular, releasing the read lock before obtaining the write lock will produce inconsistent results. Consider: ... You have to know whether someMethod (), or any method it calls, creates a reentrant read lock ...
Limit-concurrency explicitly says that if you exceed that number of open connections then it will throw a 503 error, but the backlog defaulting to 2048 seems to imply to me that uvicorn will hold 2048 requests waiting for other requests to complete, which means that it wouldn't be 503ing. Can anyone shed light on these settings?