Producer Consumer Patterns Each producer adds items to the queue: logrecord rec = createlogrecord(); however that's done. logqueue.add(rec); and the consumer does something similar: logrecord rec = logqueue.take(); process the record. by default, blockingcollection uses a concurrentqueue<t> as the backing store. If that returns nullptr, then it means that the list was empty, so we wake up the consumer. if the list was not empty, then it means that somebody else woke the consumer, so we won’t do it (to avoid a spurious wake). on the consumer side, we atomically pop work off the list and process them, and we stop when there is no more work.
Solved Multiple Producers Single Consumer 9to5answer The public interface could use some blocking push and pop operations (perhaps with a timeout), so the producers and consumers don't have to continuously poll. i'm not a big fan of parallel vectors a single container of pairs may be a better choice (e.g. for locality of access). In a single producer, the head is only modified by a single thread but now, it can be modified by multiple producers. to ensure a consistent value, the producer’s tail must be updated (store) atomically so the consumer will not read an incomplete value. this applies for consumer’s head too: the producer must load it atomically. For a while now i've been after a lock free, simple and scalable implementation of a multiple producer, single consumer queue for delegates in c#. i think i finally have it. i've run basic tests on it showing it works, and the design is so simple that i've managed to convince myself it is rock solid. this relies on a compare and swap approach. Both of them (producer and consumer) share a buffer of a limited size. the producer puts its jobs into the buffer. consumer takes a job from the buffer and processes it. note: you can think of the producer consumer as functions, and jobs as scheduled tasks or data, or incoming requests, or, essentially, many other entities.
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