Page Comparison

...

echo -e "Threads\tTime"
for threads in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 30 40 50; do
	echo -n -e "$threads\t"
	/usr/bin/time -f "%e" curl --silent --output /dev/null --fail --show-error \
		--header "Authorization: Basic Y3BzdXNlcjpjcHNyMGNrcyE=" \
		--get "http://localhost:8883/cps/api/v1/dataspaces/openroadm/anchors/owb-msa221-anchor/node?xpath=/openroadm-devices/openroadm-device\[@device-id='C201-7-[1-25]A-[1-40]A1'\]&include-descendants=true" \
		--parallel --parallel-max $threads --parallel-immediate
done

Note the above curl command performs 1000 requests. It is based on globbing in the URL - curl allows ranges such as [1-25]  in the URL, for example:

  http://example.com/archive[1996-1999]/vol[1-4].html

which would expand into a series of requests to:

• http://example.com/archive1996/vol1.html
• http://example.com/archive1996/vol2.html
• ...
• http://example.com/archive1999/vol4.html

Results

...

• There were no failures during the tests (e.g. timeouts or refused connections).
• Performance increases nearly linearly with increasing thread count, up to the number of CPU cores.
• Performance stops increasing when the number of threads equals the number of CPU cores (expected).
• Verbose statistics show that each individual request takes around 0.14 seconds, regardless of thread count (but with multiple CPU cores, requests are really done in parallel).

Data sheets