I am building a high-throughput data processing pipeline in Python using asyncio and ThreadPoolExecutor. The goal is to fetch URLs asynchronously, place the raw data into a shared queue, and have multiple threaded workers process and clean the data before saving it to a database.
However, during high-concurrency stress tests, I am encountering data corruption and occasional duplication. It seems like multiple threads are sometimes pulling or processing the exact same item from the queue simultaneously, or the state isn’t syncing properly between the async loop and the threads.
How can I properly synchronize this hybrid async/threaded architecture to ensure thread safety, eliminate the race condition, and maintain optimal performance?
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