def munge(title, values):
t0, v0 = values[0]
start_time = parsetime(t0)
ylabel = ' '.join(title.split(' ')).lower()
if title.split(' ')[1] != 'spinlock' and \
title.split(' ', 1)[1] in no_scale_per_second_list:
seconds = 1
else:
t1, v1 = values[1]
seconds = (parsetime(t1) - start_time).seconds
ylabel += ' per second'
if seconds == 0:
seconds = 1
# Split the values into a dictionary of y-axis values keyed by the x axis
ydata = {}
for t, v in sorted(values):
if args.abstime:
# Build the time series, milliseconds since the epoch
x = int(mktime(parsetime(t).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
x = (parsetime(t) - start_time).seconds
ydata[x] = float(v) / seconds
return ylabel, ydata
def munge(title, values):
t0, v0 = values[0]
start_time = parsetime(t0)
ylabel = ' '.join(title.split(' ')).lower()
if title.split(' ')[1] != 'spinlock' and \
title.split(' ', 1)[1] in no_scale_per_second_list:
seconds = 1
else:
t1, v1 = values[1]
seconds = (parsetime(t1) - start_time).seconds
ylabel += ' per second'
if seconds == 0:
seconds = 1
# Split the values into a dictionary of y-axis values keyed by the x axis
ydata = {}
for t, v in sorted(values):
if args.abstime:
# Build the time series, milliseconds since the epoch
x = int(mktime(parsetime(t).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
x = (parsetime(t) - start_time).seconds
ydata[x] = float(v) / seconds
return ylabel, ydata
def timesort(s):
# Sort the timestr via its parsetime() value so that the year gets
# added and it properly sorts. Times are only %b %d %H:%M:%S and
# may improperly sort if the data crosses a month boundary.
t = operator.itemgetter('#time')
timestr = t(s)
return parsetime(timestr)
def timesort(s):
# Sort the timestr via its parsetime() value so that the year gets
# added and it properly sorts. Times are only %b %d %H:%M:%S and
# may improperly sort if the data crosses a month boundary.
t = operator.itemgetter('#time')
timestr = t(s)
return parsetime(timestr)
def munge_dict(values_dict, abstime):
sorted_values = sorted(values_dict, key=timesort)
start_time = parsetime(sorted_values[0]['#time'])
ret = []
for v in sorted_values:
if abstime:
# Build the time series, milliseconds since the epoch
v['#time'] = int(mktime(parsetime(v['#time']).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
v['#time'] = (parsetime(v['#time']) - start_time).seconds
next_val = {}
for title, value in v.items():
if title.find('uS') != -1:
title = title.replace('uS', 'ms')
value = float(value) / 1000
if title == 'totalsec':
value = 0
if title == 'checkpoints' and value == 'N':
value = 0
elif title.find('time') != -1:
title = 'time'
elif title.find('latency') == -1 and \
title.find('checkpoints') == -1:
title = title + ' (thousands)'
value = float(value) / 1000
next_val[title] = value
ret.append(next_val)
# After building the series, eliminate constants
d0 = ret[0]
for t0, v0 in d0.items():
skip = True
for d in ret:
v = d[t0]
if v != v0:
skip = False
break
if skip:
for dicts in ret:
del dicts[t0]
return ret
def munge_dict(values_dict, abstime):
sorted_values = sorted(values_dict, key=timesort)
start_time = parsetime(sorted_values[0]['#time'])
ret = []
for v in sorted_values:
if abstime:
# Build the time series, milliseconds since the epoch
v['#time'] = int(mktime(parsetime(v['#time']).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
v['#time'] = (parsetime(v['#time']) - start_time).seconds
next_val = {}
for title, value in v.items():
if title.find('uS') != -1:
title = title.replace('uS', 'ms')
value = float(value) / 1000
if title == 'totalsec':
value = 0
if title == 'checkpoints' and value == 'N':
value = 0
elif title.find('time') != -1:
title = 'time'
elif title.find('latency') == -1 and \
title.find('checkpoints') == -1:
title = title + ' (thousands)'
value = float(value) / 1000
next_val[title] = value
ret.append(next_val)
# After building the series, eliminate constants
d0 = ret[0]
for t0, v0 in d0.items():
skip = True
for d in ret:
v = d[t0]
if v != v0:
skip = False
break
if skip:
for dicts in ret:
del dicts[t0]
return ret
def munge_dict(values_dict, abstime):
sorted_values = sorted(values_dict, key=timesort)
start_time = parsetime(sorted_values[0]["#time"])
ret = []
for v in sorted_values:
if abstime:
# Build the time series, milliseconds since the epoch
v["#time"] = int(mktime(parsetime(v["#time"]).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
v["#time"] = (parsetime(v["#time"]) - start_time).seconds
next_val = {}
for title, value in v.items():
if title.find("uS") != -1:
title = title.replace("uS", "ms")
value = float(value) / 1000
if title == "totalsec":
value = 0
if title == "checkpoints" and value == "N":
value = 0
elif title.find("time") != -1:
title = "time"
elif title.find("latency") == -1 and title.find("checkpoints") == -1:
title = title + " (thousands)"
value = float(value) / 1000
next_val[title] = value
ret.append(next_val)
# After building the series, eliminate constants
d0 = ret[0]
for t0, v0 in d0.items():
skip = True
for d in ret:
v = d[t0]
if v != v0:
skip = False
break
if skip:
for dicts in ret:
del dicts[t0]
return ret
def munge(title, values):
t0, v0 = values[0]
start_time = parsetime(t0)
ylabel = ' '.join(title.split(' ')).lower()
if title.split(' ')[1] != 'spinlock' and \
title.split(' ', 1)[1] in no_scale_per_second_list:
seconds = 1
else:
t1, v1 = values[1]
seconds = (parsetime(t1) - start_time).seconds
ylabel += ' per second'
if seconds == 0:
seconds = 1
stats_cleared = False
if args.clear or title.split(' ', 1)[1] in no_clear_list:
stats_cleared = True
# Split the values into a dictionary of y-axis values keyed by the x axis
ydata = {}
last_value = 0.0
for t, v in sorted(values):
if args.abstime:
# Build the time series, milliseconds since the epoch
x = int(mktime(parsetime(t).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
x = (parsetime(t) - start_time).seconds
float_v = float(v)
if not stats_cleared:
float_v = float_v - last_value
# Sometimes WiredTiger stats go backwards without clear, assume
# that means nothing happened
if float_v < 0:
float_v = 0.0
last_value = float(v)
ydata[x] = float_v / seconds
return ylabel, ydata
def munge(title, values):
t0, v0 = values[0]
start_time = parsetime(t0)
ylabel = ' '.join(title.split(' ')).lower()
if title.split(' ')[1] != 'spinlock' and \
title.split(' ', 1)[1] in no_scale_per_second_list:
seconds = 1
else:
t1, v1 = values[1]
seconds = (parsetime(t1) - start_time).seconds
ylabel += ' per second'
if seconds == 0:
seconds = 1
stats_cleared = False
if args.clear or title.split(' ', 1)[1] in no_clear_list:
stats_cleared = True
# Split the values into a dictionary of y-axis values keyed by the x axis
ydata = {}
last_value = 0.0
for t, v in sorted(values):
if args.abstime:
# Build the time series, milliseconds since the epoch
x = int(mktime(parsetime(t).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
x = (parsetime(t) - start_time).seconds
float_v = float(v)
if not stats_cleared:
float_v = float_v - last_value
# Sometimes WiredTiger stats go backwards without clear, assume
# that means nothing happened
if float_v < 0:
float_v = 0.0
last_value = float(v)
ydata[x] = float_v / seconds
return ylabel, ydata