def list_stats(l):
stats = '\tsamples:%s' % len(l)
stats += '\taverage:%s' % timefmt(average(l))
stats += '\tstddev:%s' % timefmt(standard_dev(l))
stats += '\tmax:%s' % max(l)
stats += '\tmin:%s' % min(l)
return stats
def list_stats(l):
stats = '\tsamples:%s' % len(l)
stats += '\taverage:%s' % timefmt(average(l))
stats += '\tstddev:%s' % timefmt(standard_dev(l))
stats += '\tmax:%s' % max(l)
stats += '\tmin:%s' % min(l)
return stats
def calculate_stats(stats):
"""
processing fio json output as dict to return
:param stats: a dictionary of the fio format::
{"fio version" : "fio-2.1.4",
"jobs" : [
{
"jobname" : "results",
"groupid" : 0,
"error" : 0,
"read" : {
"io_bytes" : 131072,
"bw" : 0,
"iops" : 0,
"runtime" : 0,
"slat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00
},
"clat" : {
"min" : 0,
"max" : 1684,
"mean" : 11.34,
"stddev" : 31.27,
"percentile" : {
"1.000000" : 6,
"5.000000" : 7,
"10.000000" : 7,
"20.000000" : 8,
"30.000000" : 8,
"40.000000" : 8,
"50.000000" : 8,
"60.000000" : 9,
"70.000000" : 9,
"80.000000" : 9,
"90.000000" : 10,
"95.000000" : 14,
"99.000000" : 68,
"99.500000" : 93,
"99.900000" : 438,
"99.950000" : 724,
"99.990000" : 1320,
"0.00" : 0,
"0.00" : 0,
"0.00" : 0
}
},
"lat" : {
"min" : 0,
"max" : 1684,
"mean" : 11.58,
"stddev" : 31.32
},
"bw_min" : 0,
"bw_max" : 0,
"bw_agg" : 0.00,
"bw_mean" : 0.00,
"bw_dev" : 0.00
},
"write" : {
"io_bytes" : 0,
"bw" : 0,
"iops" : 0,
"runtime" : 0,
"slat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00
},
"clat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00,
"percentile" : {
"1.000000" : 0,
"5.000000" : 0,
"10.000000" : 0,
"20.000000" : 0,
"30.000000" : 0,
"40.000000" : 0,
"50.000000" : 0,
"60.000000" : 0,
"70.000000" : 0,
"80.000000" : 0,
"90.000000" : 0,
"95.000000" : 0,
"99.000000" : 0,
"99.500000" : 0,
"99.900000" : 0,
"99.950000" : 0,
"99.990000" : 0,
"0.00" : 0,
"0.00" : 0,
"0.00" : 0
}
},
"lat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00
},
"bw_min" : 0,
"bw_max" : 0,
"bw_agg" : 0.00,
"bw_mean" : 0.00,
"bw_dev" : 0.00
},
"trim" : {
"io_bytes" : 0,
"bw" : 0,
"iops" : 0,
"runtime" : 0,
"slat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00
},
"clat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00,
"percentile" : {
"1.000000" : 0,
"5.000000" : 0,
"10.000000" : 0,
"20.000000" : 0,
"30.000000" : 0,
"40.000000" : 0,
"50.000000" : 0,
"60.000000" : 0,
"70.000000" : 0,
"80.000000" : 0,
"90.000000" : 0,
"95.000000" : 0,
"99.000000" : 0,
"99.500000" : 0,
"99.900000" : 0,
"99.950000" : 0,
"99.990000" : 0,
"0.00" : 0,
"0.00" : 0,
"0.00" : 0
}
},
"lat" : {
"min" : 0,
"max" : 0,
"mean" : 0.00,
"stddev" : 0.00
},
"bw_min" : 0,
"bw_max" : 0,
"bw_agg" : 0.00,
"bw_mean" : 0.00,
"bw_dev" : 0.00
},
"usr_cpu" : 0.00,
"sys_cpu" : 0.00,
"ctx" : 24,
"majf" : 0,
"minf" : 0,
"iodepth_level" : {
"1" : 100.00,
"2" : 0.00,
"4" : 0.00,
"8" : 0.00,
"16" : 0.00,
"32" : 0.00,
">=64" : 0.00
},
"latency_us" : {
"2" : 0.01,
"4" : 0.00,
"10" : 81.63,
"20" : 14.22,
"50" : 1.86,
"100" : 1.83,
"250" : 0.29,
"500" : 0.06,
"750" : 0.05,
"1000" : 0.02
},
"latency_ms" : {
"2" : 0.03,
"4" : 0.00,
"10" : 0.00,
"20" : 0.00,
"50" : 0.00,
"100" : 0.00,
"250" : 0.00,
"500" : 0.00,
"750" : 0.00,
"1000" : 0.00,
"2000" : 0.00,
">=2000" : 0.00
}
}
]
}
returns::
{ 'bw': {'average': 900.0, 'deviation': 900.0, 'median': 900.0},
'iops': {'average': 1010.1, 'deviation': 10.1, 'median': 1010.0},
'lat': {'average': 0.2, 'deviation': 0.5, 'median': 0.1}
}
"""
iops = list()
bw = list()
lat = list()
for s in stats:
bw.append(s[0])
iops.append(s[1])
lat.append(s[2])
report = dict()
report['iops'] = {'median': median(iops), 'average': average(iops), 'deviation': standard_dev(iops)}
report['bw'] = {'median': median(bw), 'average': average(bw), 'deviation': standard_dev(bw)}
report['lat'] = {'median': median(lat), 'average': average(lat), 'deviation': standard_dev(lat)}
logger.debug(pformat(report))
return report
def test_standard_deviation(self):
self.assertAlmostEqual(standard_dev(self.s), np.std(self.s), 6)
def test_standard_deviation(self):
self.assertAlmostEqual(standard_dev(self.s), np.std(self.s), 6)