def get_top_n_locks(data, field, n, **kwargs):
"""Get top n locks according to the statistic on a field
@param data the data from parse_lockstat_data
@param field specify one field to sort (e.g. waittime-total,
acquisitions and etc.)
@param n only return the top N values
Optional arguments
@param percentage if set to True, returns the percentage of the specified
field.
@param in_second if set to True, returns the value in seconds.
TODO: add support for sorting values per acquisition
"""
percentage = kwargs.get('percentage', False)
in_second = kwargs.get('in_second', False)
assert not (percentage and in_second)
temp = {}
for lockname, values in data.items():
temp[lockname] = values[field]
if percentage:
total_value = sum(temp.values())
for lockname, value in temp.items():
temp[lockname] = 1.0 * value / total_value
elif in_second:
# Returns values in second
for lockname, value in temp.items():
temp[lockname] = value / (10.0 ** 6)
return dict(sorted_by_value(temp, reverse=True)[:n])
def get_top_n_funcs_in_oprofile(data, event, topn):
"""Extract top N results of oprofile data
@param data the oprofile parsed data
@param event event name
@param n top N
"""
temp = {}
for func_name in data.keys():
temp[func_name] = data[func_name][event]['%']
return dict(sorted_by_value(temp, reverse=True)[:topn])
