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License: MIT License
Distributed Task Queue based Dask
License: MIT License
Hi,
I have a react based webapp integrated with Django as a backend, the current challenge we are facing in file uploads like we are expecting 3-5lac file upload of average size say 5Mb each file. Currently we are implemented using celery and redis but it is not efficient to handle this much request. I wanted to know if dask queue can handle this efficiently. Can anyone please help me on this.
After multiple tests to profile the batch_submit
method performance, I saw that bottleneck is the serialization in the distibuted.protocol
. Basically when calling an attribute in an actor we use the RPCPool to send a send_recv
call on communication layer which calls in return the protocol.dumps()
.
Msg size : 717
Protocol serialization : into list of 100002 protocol frames took 5.31s
Simple cloudpickle.dumps() of message took 0.12s
This is too slow when submitting millions of tasks + I can optimize the storage layer to directly deal with serialized message.
I'll test using ZMQ for communication between client <-> QueuePool and Queue<-> workers.
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