Comment 6 for bug 1558791

Using the file backend I did some tests.

With 1 thread:

Computed new metric 14ac5217-f879-43b7-9c85-ac224ab7561d with 50000 new measures in 104.19 seconds (11517 points/s)

with 12 threads (12 CPU):

Computed new metric a22ca938-9d0f-4c08-9b86-6afecb6d0a79 with 50000 new measures in 121.94 seconds (9840 points/s)

So it seems you're right. Amazing Python.

Ceph and Swift shall benefit more of parallelism since the I/O latency is going to higher, so serializing the read/write calls would increase the time to process metrics.

I'll try with process instead of threads if that's doable.