There are many other cool features and we are always adding more, check them out by clicking around on the app icons.
To begin video chat, press the large "start" button on the chat app.
You'll still need to write a back-end daemon or script to handle manging where these messages go.
You could also use Mongo DB's "limited collections", which keeps the documents sorted & also automatically clears old messages out, but that could be complicated in maintaining proper counters. No matter how fast the static store is (and mongo is very fast), whether mongo or db, to mimic a message queue your going to have to use some kind of polling, which is not very scalable or efficient.
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I'm starting a project which I think will be particularly suited to Mongo DB due to the speed and scalability it affords.The module I'm currently interested in is to do with real-time chat.If I was to do this in a traditional RDBMS I'd split it out into: I haven't been able to stress test this solution, but at least from my basic benchmarking it could probably handle many thousands of messages per second.Mnogochat has a mediocre Google pagerank and bad results in terms of Yandex topical citation index.We found that is poorly ‘socialized’ in respect to any social network.
I looked into Comet based solutions, but many of them were complicated, poorly documented or would require me learning an entirely new language(e.g. Also delivery and going through proxies can sometimes be an issue with Comet. I imagine you could do something similar with Mongo DB.