Very impressive. I tried to make a table of output using a Python script and it ended up being so inefficient for reasons I don't understand (a bug in my code possibly/likely) that I couldn't get the final report to ever come out.On 4/3/24 17:49, Kevin Kofler via devel wrote:
And is there a statistical evaluation of that data somewhere? Downloading 350 MiB (!) of raw CSV data does not sound to me like a convenient way to work with it.It's messy, but interesting. Here's the architecture data for the last 3 or so years:
from top to bottom, x86_64 aarch64 ppc64le s390x armhfp i386 arm powerpc64 riscv64
so you can see the decline of armhfp and i386.
I don't know what to make of the relatively large population of ppc64le and s390x; I think maybe IBM is eating their own dogfood and using it in some internal datacenters?
I am pleased to see RISC-V showing up within last year!
sqlite -csv :memory:
.import totals.csv t
select date(round(julianday(week_end)/30)*30) as Tx, count(os_arch) filter (where os_arch like "x86_64") as x86_64, count(os_arch) filter (where os_arch like "aarch64") as aarch64, count(os_arch) filter (where os_arch like "ppc64le") as ppc64le, count(os_arch) filter (where os_arch like "s390x") as s390x, count(os_arch) filter (where os_arch like "armhfp") as armhfp, count(os_arch) filter (where os_arch like "i386") as i386,count(os_arch) filter (where os_arch like "arm") as arm, count(os_arch) filter (where os_arch like "powerpc64") as powerpc64, count(os_arch) filter (where os_arch like "riscv64") as riscv64 from t group by tx
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