performance measurements

Each table row shows performance measurements for this PyPy program with a particular command-line input value N.

 N  CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
11.331.3682,320322  12% 10% 7% 98%
11.381.4082,688322  17% 13% 14% 99%
11.511.5382,888322  26% 16% 99% 24%

Read the ↓ make, command line, and program output logs to see how this program was run.

Read jsonbench benchmark to see what this program should do.

 notes

 jsonbench PyPy program source code

from __future__ import print_function
import json
import sys

EMPTY = ({}, 200000)
SIMPLE = ({'key1': 0, 'key2': True, 'key3': 'value', 'key4': 'foo', 'key5': 'string'}, 100000)
NESTED = ({'key1': 0, 'key2': SIMPLE[0], 'key3': 'value', 'key4': SIMPLE[0], 'key5': SIMPLE[0], u'key': u'\u0105\u0107\u017c'}, 100000)
HUGE = ([NESTED[0]] * 1000, 100)

cases = [EMPTY, SIMPLE, NESTED, HUGE]

def main(n):
    for i in range(n):
        for case in cases:
            data, count = case
            for i in range(count):
                json_data = json.dumps(data)
                json.loads(json_data)
    print('OK')

main(int(sys.argv[1]))

 make, command-line, and program output logs

Tue, 12 Feb 2019 12:07:57 GMT

COMMAND LINE:
/usr/bin/pypy jsonbench.pypy 1

PROGRAM OUTPUT:
OK

Revised BSD license

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