def process_data(self, testdir, rawiter):
corestr = None
lastdata = None
for line in rawiter:
m = re.match("Running on (\d+) cores.", line)
if m:
ncores = int(m.group(1))
results = RowResults([
"core %d to %d" % (n, (n + 1) % ncores)
for n in range(ncores)
])
corestr = "\d+: "
for n in range(ncores):
corestr += "(\d+) "
continue
if corestr != None:
m = re.match(corestr, line)
if m:
data = [int(m.group(n)) for n in range(1, ncores + 1)]
if lastdata != None:
diffs = [data[0] - lastdata]
else:
diffs = [0]
diffs += [(data[n] - data[n - 1])
for n in range(1, ncores)]
results.add_row(diffs)
lastdata = data[ncores - 1]
return results
def process_data(self, testdir, rawiter):
results = RowResults(['threads', 'delay', 'slowdown'])
process_sum = 0
sums = []
baseline = []
for line in rawiter:
m = re.match("workcnt (\d+): (\d+)", line)
if m:
if int(m.group(1)) != 0:
process_sum += int(m.group(2))
continue
m = re.match("number of threads: (\d+), delay: (\d+)", line)
if m:
sums.append([m.group(1), m.group(2), process_sum])
if int(m.group(2)) == 0:
baseline.append([m.group(1), process_sum])
process_sum = 0
for sum in sums:
for [t,p] in baseline:
if t == sum[0]:
basesum = p
break
procsum = float(sum[2]) / float(basesum)
results.add_row([sum[0], sum[1], procsum])
return results
def process_data(self, testdir, rawiter):
corestr = None
lastdata = None
for line in rawiter:
m = re.match("Running on (\d+) cores.", line)
if m:
ncores = int(m.group(1))
results = RowResults(["core %d to %d" % (n, (n + 1) % ncores) for n in range(ncores)])
corestr = "\d+: "
for n in range(ncores):
corestr += "(\d+) "
continue
if corestr != None:
m = re.match(corestr, line)
if m:
data = [int(m.group(n)) for n in range(1, ncores + 1)]
if lastdata != None:
diffs = [data[0] - lastdata]
else:
diffs = [0]
diffs += [(data[n] - data[n - 1]) for n in range(1, ncores)]
results.add_row(diffs)
lastdata = data[ncores - 1]
return results
def process_data(self, testdir, rawiter):
results = RowResults(['threads', 'delay', 'slowdown'])
process_sum = 0
sums = []
baseline = []
for line in rawiter:
m = re.match("workcnt (\d+): (\d+)", line)
if m:
if int(m.group(1)) != 0:
process_sum += int(m.group(2))
continue
m = re.match("number of threads: (\d+), delay: (\d+)", line)
if m:
sums.append([m.group(1), m.group(2), process_sum])
if int(m.group(2)) == 0:
baseline.append([m.group(1), process_sum])
process_sum = 0
for sum in sums:
for [t, p] in baseline:
if t == sum[0]:
basesum = p
break
procsum = float(sum[2]) / float(basesum)
results.add_row([sum[0], sum[1], procsum])
return results
def process_data(self, testdir, rawiter):
debug.verbose(">> processing data")
# the test passed if we can produce results
results = RowResults(['op', 'cycles/iter', '#iters'])
# and assertions are disabled
valid = False
for line in rawiter:
if line.startswith('Operating system bug'):
valid = False
break
if 'ASSERTIONS DISABLED' in line:
valid = True
#if line.startswith(self.get_finish_string()):
# break
if line.startswith("appel_li:"):
# found data line: <op cycles/iter #iters>
elems = line.strip().split(':')
if len(elems) < 3:
continue
_, op, data = elems
if ' ' not in data:
continue
cyc, _, count, _ = data.strip().split(' ')
results.add_row([op.strip(), cyc, count])
if not valid:
return PassFailResult(False)
return results
def get_row_results(self, name):
results = RowResults(['nodeid', 'mdbsize', 'oplatency'])
for nodeid in sorted(self.nodedata.keys()):
if nodeid not in self.tscperus.keys():
# skip nodes that aren't running benchmark for some cases
continue
for d in sorted(self.nodedata[nodeid].keys()):
for v in self.nodedata[nodeid][d]:
results.add_row([nodeid, d, v])
return results
def process_data(self, testdir, raw_iter):
cols = ('Requested Throughput,Achieved Throughput,Sent Throughput,'
'Packet Size,Min,Avg,Max,Standard Deviation,Median')
results = RowResults(cols.split(','))
with open(os.path.join(testdir, LOGFILENAME), 'r') as logfile:
for line in logfile:
m = re.match('(\d+),(\d+),(\d+),(\d+),(\d+),(\d+),(\d+),'
'(\d+\.\d+),(\d+)', line)
assert(m) # line must match, otherwise we have junk output
vals = [float(s) if '.' in s else int(s) for s in m.groups()]
results.add_row(vals)
return results
def process_data(self, testdir, raw_iter):
cols = ('Requested Throughput,Achieved Throughput,Sent Throughput,'
'Packet Size,Min,Avg,Max,Standard Deviation,Median')
results = RowResults(cols.split(','))
with open(os.path.join(testdir, LOGFILENAME), 'r') as logfile:
for line in logfile:
m = re.match(
'(\d+),(\d+),(\d+),(\d+),(\d+),(\d+),(\d+),'
'(\d+\.\d+),(\d+)', line)
assert (m) # line must match, otherwise we have junk output
vals = [float(s) if '.' in s else int(s) for s in m.groups()]
results.add_row(vals)
return results
def process_data(self, testdir, rawiter):
results = RowResults(['impl', 'reset', 'measure', 'count', 'ticks'])
caps = RowResults(['run', 'reset', 'count', 'base', 'bits', 'flags'], name="caps")
impl = None
reset = None
measure = None
count = None
dumping = False
for line in rawiter:
m = re.match(r"\[mdb_bench of (\w+)\]", line)
if m:
impl = m.group(1)
continue
m = re.match(r"\[mdb_bench dumping\]", line)
if m:
dumping = True
if self.boot_phase:
continue
m = re.match(r"([^:/]+)/(\d+):dump:([^:]+): 0x([0-9a-fA-F]+)/(\d+) ([c.][a.][d.])", line)
if m:
caps.add_row([m.group(3), m.group(1), m.group(2), m.group(4), m.group(5), m.group(6)])
continue
m = re.match(r"([^:]+):([^:]+): (\d+)/(\d+)", line)
if m:
reset = m.group(1)
measure = m.group(2)
count = m.group(4)
ticks = m.group(3)
results.add_row([impl, reset, measure, count, ticks])
continue
results = [results]
if dumping:
results.append(caps)
return results
def process_data(self, testdir, rawiter):
results = RowResults(['workload', 'uid', 'operation', 'count'])
resultline = re.compile("\[core \d+\]\[(\d+)\] (\w+)=(\d+)")
found_bench = False
for line in rawiter:
if line.startswith("frequency_bench starting"):
found_bench = True
if found_bench:
m = resultline.match(line)
if m:
results.add_row(
['procmgmt',
m.group(1),
m.group(2),
m.group(3)])
return results
def process_data(self, testdir, rawiter):
results = RowResults(['impl', 'reset', 'measure', 'count', 'ticks'])
caps = RowResults(['run', 'reset', 'count', 'base', 'bits', 'flags'],
name="caps")
impl = None
reset = None
measure = None
count = None
dumping = False
for line in rawiter:
m = re.match(r"\[mdb_bench of (\w+)\]", line)
if m:
impl = m.group(1)
continue
m = re.match(r"\[mdb_bench dumping\]", line)
if m:
dumping = True
if self.boot_phase:
continue
m = re.match(
r"([^:/]+)/(\d+):dump:([^:]+): 0x([0-9a-fA-F]+)/(\d+) ([c.][a.][d.])",
line)
if m:
caps.add_row([
m.group(3),
m.group(1),
m.group(2),
m.group(4),
m.group(5),
m.group(6)
])
continue
m = re.match(r"([^:]+):([^:]+): (\d+)/(\d+)", line)
if m:
reset = m.group(1)
measure = m.group(2)
count = m.group(4)
ticks = m.group(3)
results.add_row([impl, reset, measure, count, ticks])
continue
results = [results]
if dumping:
results.append(caps)
return results
def process_data(self, testdir, raw_iter):
self.testdir = testdir
totals = {}
for filename in glob.iglob(os.path.join(testdir, "httperf_run*.txt")):
nrun = int(re.match(".*/httperf_run(\d+)_", filename).group(1))
result = self._process_run(nrun)
totals[nrun] = result
fields = "run connect_rate request_rate reply_rate bandwidth errors".split()
final = RowResults(fields)
for run in sorted(totals.keys()):
total = totals[run]
errsum = sum([getattr(total, f) for f in total._err_fields])
final.add_row([run, total.connect_rate, total.request_rate, total.reply_rate, total.bandwidth, errsum])
# XXX: often the last run will have errors in it, due to the control algorithm
# if errsum:
# final.mark_failed()
return final
def process_data(self, testdir, raw_iter):
results = RowResults(['time0', 'time1', 'time2',
'time1 - time0', 'time2 - time0'])
passed = False
for line in raw_iter:
m = re.match("page\s+(\d+)\s+time0\s+(\d+)time1\s+(\d+)time2\s+(\d+)", line)
if m:
passed = True
time0 = int(m.group(2))
time1 = int(m.group(3))
time2 = int(m.group(4))
results.add_row([time0, time1, time2,
time1 - time0, time2 - time0])
if not passed:
results.mark_failed()
return results
def process_data(self, testdir, raw_iter):
res = RowResults(["cores", "compute_time"])
computetime = {}
ct = 0
for line in raw_iter:
m = re.match(r" Time in seconds =\s+(\d+.\d+)", line)
if m:
ct = float(m.group(1));
continue
m = re.match(r" Total processes =\s+(\d+)", line)
if m:
computetime[int(m.group(1))] = ct
allcores = computetime.keys()
allcores.sort()
nan = float('nan')
for c in allcores:
res.add_row([c, computetime.get(c, nan)])
return res
def process_data(self, testdir, raw_iter):
self.testdir = testdir
totals = {}
for filename in glob.iglob(os.path.join(testdir, 'httperf_run*.txt')):
nrun = int(re.match('.*/httperf_run(\d+)_', filename).group(1))
result = self._process_run(nrun)
totals[nrun] = result
fields = 'run connect_rate request_rate reply_rate bandwidth errors'.split(
)
final = RowResults(fields)
for run in sorted(totals.keys()):
total = totals[run]
errsum = sum([getattr(total, f) for f in total._err_fields])
final.add_row([
run, total.connect_rate, total.request_rate, total.reply_rate,
total.bandwidth, errsum
])
# XXX: often the last run will have errors in it, due to the control algorithm
#if errsum:
# final.mark_failed()
# If we saw a severe failure (assertion failure, kernel panic, or user
# level panic) in the webserver, fail the test
if not super(HTTPerfTest, self).passed():
final.mark_failed('\n'.join(self.server_failures))
return final
def process_data(self, testdir, raw_iter):
self.testdir = testdir
totals = {}
for filename in glob.iglob(os.path.join(testdir, 'httperf_run*.txt')):
nrun = int(re.match('.*/httperf_run(\d+)_', filename).group(1))
result = self._process_run(nrun)
totals[nrun] = result
fields = 'run connect_rate request_rate reply_rate bandwidth errors'.split(
)
final = RowResults(fields)
for run in sorted(totals.keys()):
total = totals[run]
errsum = sum([getattr(total, f) for f in total._err_fields])
final.add_row([
run, total.connect_rate, total.request_rate, total.reply_rate,
total.bandwidth, errsum
])
# XXX: often the last run will have errors in it, due to the control algorithm
#if errsum:
# final.mark_failed()
return final
def process_data(self, testdir, raw_iter):
results = RowResults(
['time0', 'time1', 'time2', 'time1 - time0', 'time2 - time0'])
passed = False
for line in raw_iter:
m = re.match(
"page\s+(\d+)\s+time0\s+(\d+)time1\s+(\d+)time2\s+(\d+)", line)
if m:
passed = True
time0 = int(m.group(2))
time1 = int(m.group(3))
time2 = int(m.group(4))
results.add_row(
[time0, time1, time2, time1 - time0, time2 - time0])
if not passed:
results.mark_failed()
return results
def process_data(self, testdir, rawiter):
self.regex = re.compile(self.REGEX)
result = RowResults(['op', 'buffer', 'block', 'bandwidth'])
if not bandwidth.has_key(self.machine):
result.mark_failed(
'No data about this disk, please set the initial performance values.'
)
return result
matches = 0
for line in rawiter:
match = self.regex.match(line)
if match:
matches += 1
buffer_size, bs, bw = match.groups()
buffer_size = int(buffer_size)
bs = int(bs)
bw = float(bw)
operation = self.OP.lower()
if not bandwidth[self.machine].has_key(operation):
result.mark_failed(
'No data about this benchmark, please set the initial performance values.'
)
return result
if not bandwidth[self.machine][operation].has_key(bs):
result.mark_failed('No data for {} with bs {}.'.format(
operation, bs))
return result
lower_bound = bandwidth[self.machine][operation][bs] * (1 -
0.15)
upper_bound = bandwidth[self.machine][operation][bs] * (1 +
0.20)
result.add_row((operation, buffer_size, bs, bw))
if bw <= lower_bound:
error = "{} for {} bytes blocks not within expected range (was {}, should be >= {}).".format(
operation, bs, bw, lower_bound)
debug.log(error)
result.mark_failed(reason=error)
elif bw >= upper_bound:
error = "Achieved {} bandwidth for {} bytes blocks was better ({}) than expected ({}).".format(
operation, bs, bw, upper_bound)
debug.log(error)
debug.log(
"This is good, if you can explain it! Adjust the bandwidth numbers in blk_tests.py and re-run the test."
)
result.mark_failed(reason=error)
else:
pass
if line.startswith("AHCI testing completed.") and matches > 0:
return result
result.mark_failed(
'Did not see end of test or got no bandwidth numbers.')
return result
def process_data(self, testdir, raw_iter):
res = RowResults(["cores", "compute_time", "create_time"])
createtime = {}
computetime = {}
seencores = set()
maxcores = None
for line in raw_iter:
m = re.match(r"\[harness: run on (\d+)/(\d+) cores\]", line)
if m:
runcores = int(m.group(1))
thismaxcores = int(m.group(2))
if maxcores is None:
maxcores = thismaxcores
elif maxcores != thismaxcores:
res.mark_failed() # inconsistent max #cores in output
if runcores in seencores or runcores > maxcores:
res.mark_failed() # inconsistent #cores for this run
seencores.add(runcores)
continue
m = re.match(r"Createtime\s+(\d+)\s+(\d+)", line)
if m:
createtime[int(m.group(1))] = int(m.group(2))
continue
m = re.match(r"Computetime\s+(\d+)\s+(\d+)", line)
if m:
computetime[int(m.group(1))] = int(m.group(2))
allcores = set(createtime.keys()).union(computetime.keys())
if allcores == set() or allcores != seencores:
res.mark_failed()
nan = float('nan')
allcores = list(allcores)
allcores.sort()
for c in allcores:
a = computetime.get(c, nan)
b = createtime.get(c, nan)
res.add_row([c, a, b])
if a == nan or b == nan:
res.mark_failed()
return res
def process_data(self, testdir, raw_iter):
res = RowResults(["cores", "compute_time", "create_time"])
createtime = {}
computetime = {}
seencores = set()
maxcores = None
for line in raw_iter:
m = re.match(r"\[harness: run on (\d+)/(\d+) cores\]", line)
if m:
runcores = int(m.group(1))
thismaxcores = int(m.group(2))
if maxcores is None:
maxcores = thismaxcores
elif maxcores != thismaxcores:
res.mark_failed() # inconsistent max #cores in output
if runcores in seencores or runcores > maxcores:
res.mark_failed() # inconsistent #cores for this run
seencores.add(runcores)
continue
m = re.match(r"Createtime\s+(\d+)\s+(\d+)", line)
if m:
createtime[int(m.group(1))] = int(m.group(2))
continue
m = re.match(r"Computetime\s+(\d+)\s+(\d+)", line)
if m:
computetime[int(m.group(1))] = int(m.group(2))
allcores = set(createtime.keys()).union(computetime.keys())
if allcores == set() or allcores != seencores:
res.mark_failed()
nan = float('nan')
allcores = list(allcores)
allcores.sort()
for c in allcores:
a = computetime.get(c, nan)
b = createtime.get(c, nan)
res.add_row([c, a, b])
if a == nan or b == nan:
res.mark_failed()
return res