performance measurements
Each table row shows performance measurements for this Graal program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 1 | 19.56 | 6.72 | 1,188,928 | 322 | 72% 53% 27% 34% 41% 58% 50% 13% |
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 Graal 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
Mon, 20 Sep 2021 15:04:56 GMT COMMAND LINE: /usr/lib/jvm/java-8-graalvm/bin/graalpython jsonbench.graal 1 PROGRAM OUTPUT: OK