1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
|
import os
import sys
from collections import Counter, defaultdict
import os.path
sys.path.append(os.environ['PERF_EXEC_PATH'] + '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
from perf_trace_context import *
from EventClass import *
# Aggregating cycles per symbol and dso
total_cycles = 0
category_cycles = Counter()
detailed_category_cycles = defaultdict(Counter)
categories = set()
def truncate_symbol(symbol, max_length=50):
""" Truncate the symbol name to a maximum length """
return symbol if len(symbol) <= max_length else symbol[:max_length-3] + '...'
def categorize_symbol(dso, symbol):
""" Categorize the symbol based on the defined criteria """
if dso == 'sqlite3_native.so':
return '[sqlite3]'
elif 'SHA256' in symbol:
return '[sha256]'
elif symbol.startswith('[JIT] gen_send'):
return '[JIT send]'
elif symbol.startswith('[JIT]'):
return '[JIT code]'
elif '::' in symbol or symbol.startswith('yjit::') or symbol.startswith('_ZN4yjit'):
return '[YJIT compile]'
elif symbol.startswith('rb_vm_') or symbol.startswith('vm_') or symbol in {
"rb_call0", "callable_method_entry_or_negative", "invoke_block_from_c_bh",
"rb_funcallv_scope", "setup_parameters_complex", "rb_yield"}:
return '[interpreter]'
elif symbol.startswith('rb_hash_') or symbol.startswith('hash_'):
return '[rb_hash_*]'
elif symbol.startswith('rb_ary_') or symbol.startswith('ary_'):
return '[rb_ary_*]'
elif symbol.startswith('rb_str_') or symbol.startswith('str_'):
return '[rb_str_*]'
elif symbol.startswith('rb_sym') or symbol.startswith('sym_'):
return '[rb_sym_*]'
elif symbol.startswith('rb_st_') or symbol.startswith('st_'):
return '[rb_st_*]'
elif symbol.startswith('rb_ivar_') or 'shape' in symbol:
return '[ivars]'
elif 'match' in symbol or symbol.startswith('rb_reg') or symbol.startswith('onig'):
return '[regexp]'
elif 'alloc' in symbol or 'free' in symbol or 'gc' in symbol:
return '[GC]'
elif 'pthread' in symbol and 'lock' in symbol:
return '[pthread lock]'
else:
return symbol # Return the symbol itself for uncategorized symbols
def process_event(event):
global total_cycles, category_cycles, detailed_category_cycles, categories
sample = event["sample"]
full_dso = event.get("dso", "Unknown_dso")
dso = os.path.basename(full_dso)
symbol = event.get("symbol", "[unknown]")
cycles = sample["period"]
total_cycles += cycles
category = categorize_symbol(dso, symbol)
category_cycles[category] += cycles
detailed_category_cycles[category][(dso, symbol)] += cycles
if category.startswith('[') and category.endswith(']'):
categories.add(category)
def trace_end():
if total_cycles == 0:
return
print("Aggregated Event Data:")
print("{:<20} {:<50} {:>20} {:>15}".format("[dso]", "[symbol or category]", "[top-most cycle ratio]", "[num cycles]"))
for category, cycles in category_cycles.most_common():
ratio = (cycles / total_cycles) * 100
dsos = {dso for dso, _ in detailed_category_cycles[category]}
dso_display = next(iter(dsos)) if len(dsos) == 1 else "Multiple DSOs"
print("{:<20} {:<50} {:>20.2f}% {:>15}".format(dso_display, truncate_symbol(category), ratio, cycles))
# Category breakdown
for category in categories:
symbols = detailed_category_cycles[category]
category_total = sum(symbols.values())
category_ratio = (category_total / total_cycles) * 100
print(f"\nCategory: {category} ({category_ratio:.2f}%)")
print("{:<20} {:<50} {:>20} {:>15}".format("[dso]", "[symbol]", "[top-most cycle ratio]", "[num cycles]"))
for (dso, symbol), cycles in symbols.most_common():
symbol_ratio = (cycles / category_total) * 100
print("{:<20} {:<50} {:>20.2f}% {:>15}".format(dso, truncate_symbol(symbol), symbol_ratio, cycles))
|
