squeaky-pl / japronto

Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

I ported japronto to raspberry PI and used wrk stress testing.

junbaibai0719 opened this issue · comments

The code is from example async.py 。 I don't know why asynchronous functions are so inefficient on raspberry, while synchronous functions are more efficient than my PC.

(base) lin@DESKTOP-A5K2NJM:~/Downloads$ wrk -t12 -c10000 -d30s http://192.168.137.99:8081/async --latency

Running 30s test @ http://192.168.137.99:8081/async

12 threads and 10000 connections
Thread Stats Avg Stdev Max +/- Stdev
Latency 0.00us 0.00us 0.00us -nan%
Req/Sec 157.87 250.45 1.26k 84.34%
Latency Distribution
50% 0.00us
75% 0.00us
90% 0.00us
99% 0.00us
9081 requests in 30.08s, 860.21KB read
Socket errors: connect 8987, read 0, write 0, timeout 9081
Requests/sec: 301.88
Transfer/sec: 28.60KB
(base) lin@DESKTOP-A5K2NJM:~/Downloads$ wrk -t12 -c10000 -d30s http://192.168.137.99:8081/sync --latency
Running 30s test @ http://192.168.137.99:8081/sync
12 threads and 10000 connections
Thread Stats Avg Stdev Max +/- Stdev
Latency 17.16ms 3.59ms 411.56ms 92.54%
Req/Sec 4.87k 2.07k 10.33k 53.36%
Latency Distribution
50% 16.92ms
75% 17.23ms
90% 18.30ms
99% 29.11ms
1737912 requests in 30.06s, 160.77MB read
Socket errors: connect 8987, read 0, write 0, timeout 0
Requests/sec: 57809.81
Transfer/sec: 5.35MB