193 lines
7.3 KiB
Python
193 lines
7.3 KiB
Python
|
# event_analyzing_sample.py: general event handler in python
|
||
|
|
# SPDX-License-Identifier: GPL-2.0
|
||
|
|
#
|
||
|
|
# Current perf report is already very powerful with the annotation integrated,
|
||
|
|
# and this script is not trying to be as powerful as perf report, but
|
||
|
|
# providing end user/developer a flexible way to analyze the events other
|
||
|
|
# than trace points.
|
||
|
|
#
|
||
|
|
# The 2 database related functions in this script just show how to gather
|
||
|
|
# the basic information, and users can modify and write their own functions
|
||
|
|
# according to their specific requirement.
|
||
|
|
#
|
||
|
|
# The first function "show_general_events" just does a basic grouping for all
|
||
|
|
# generic events with the help of sqlite, and the 2nd one "show_pebs_ll" is
|
||
|
|
# for a x86 HW PMU event: PEBS with load latency data.
|
||
|
|
#
|
||
|
|
|
||
|
|
from __future__ import print_function
|
||
|
|
|
||
|
|
import os
|
||
|
|
import sys
|
||
|
|
import math
|
||
|
|
import struct
|
||
|
|
import sqlite3
|
||
|
|
|
||
|
|
sys.path.append(os.environ['PERF_EXEC_PATH'] + \
|
||
|
|
'/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
|
||
|
|
|
||
|
|
from perf_trace_context import *
|
||
|
|
from EventClass import *
|
||
|
|
|
||
|
|
#
|
||
|
|
# If the perf.data has a big number of samples, then the insert operation
|
||
|
|
# will be very time consuming (about 10+ minutes for 10000 samples) if the
|
||
|
|
# .db database is on disk. Move the .db file to RAM based FS to speedup
|
||
|
|
# the handling, which will cut the time down to several seconds.
|
||
|
|
#
|
||
|
|
con = sqlite3.connect("/dev/shm/perf.db")
|
||
|
|
con.isolation_level = None
|
||
|
|
|
||
|
|
def trace_begin():
|
||
|
|
print("In trace_begin:\n")
|
||
|
|
|
||
|
|
#
|
||
|
|
# Will create several tables at the start, pebs_ll is for PEBS data with
|
||
|
|
# load latency info, while gen_events is for general event.
|
||
|
|
#
|
||
|
|
con.execute("""
|
||
|
|
create table if not exists gen_events (
|
||
|
|
name text,
|
||
|
|
symbol text,
|
||
|
|
comm text,
|
||
|
|
dso text
|
||
|
|
);""")
|
||
|
|
con.execute("""
|
||
|
|
create table if not exists pebs_ll (
|
||
|
|
name text,
|
||
|
|
symbol text,
|
||
|
|
comm text,
|
||
|
|
dso text,
|
||
|
|
flags integer,
|
||
|
|
ip integer,
|
||
|
|
status integer,
|
||
|
|
dse integer,
|
||
|
|
dla integer,
|
||
|
|
lat integer
|
||
|
|
);""")
|
||
|
|
|
||
|
|
#
|
||
|
|
# Create and insert event object to a database so that user could
|
||
|
|
# do more analysis with simple database commands.
|
||
|
|
#
|
||
|
|
def process_event(param_dict):
|
||
|
|
event_attr = param_dict["attr"]
|
||
|
|
sample = param_dict["sample"]
|
||
|
|
raw_buf = param_dict["raw_buf"]
|
||
|
|
comm = param_dict["comm"]
|
||
|
|
name = param_dict["ev_name"]
|
||
|
|
|
||
|
|
# Symbol and dso info are not always resolved
|
||
|
|
if ("dso" in param_dict):
|
||
|
|
dso = param_dict["dso"]
|
||
|
|
else:
|
||
|
|
dso = "Unknown_dso"
|
||
|
|
|
||
|
|
if ("symbol" in param_dict):
|
||
|
|
symbol = param_dict["symbol"]
|
||
|
|
else:
|
||
|
|
symbol = "Unknown_symbol"
|
||
|
|
|
||
|
|
# Create the event object and insert it to the right table in database
|
||
|
|
event = create_event(name, comm, dso, symbol, raw_buf)
|
||
|
|
insert_db(event)
|
||
|
|
|
||
|
|
def insert_db(event):
|
||
|
|
if event.ev_type == EVTYPE_GENERIC:
|
||
|
|
con.execute("insert into gen_events values(?, ?, ?, ?)",
|
||
|
|
(event.name, event.symbol, event.comm, event.dso))
|
||
|
|
elif event.ev_type == EVTYPE_PEBS_LL:
|
||
|
|
event.ip &= 0x7fffffffffffffff
|
||
|
|
event.dla &= 0x7fffffffffffffff
|
||
|
|
con.execute("insert into pebs_ll values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
|
||
|
|
(event.name, event.symbol, event.comm, event.dso, event.flags,
|
||
|
|
event.ip, event.status, event.dse, event.dla, event.lat))
|
||
|
|
|
||
|
|
def trace_end():
|
||
|
|
print("In trace_end:\n")
|
||
|
|
# We show the basic info for the 2 type of event classes
|
||
|
|
show_general_events()
|
||
|
|
show_pebs_ll()
|
||
|
|
con.close()
|
||
|
|
|
||
|
|
#
|
||
|
|
# As the event number may be very big, so we can't use linear way
|
||
|
|
# to show the histogram in real number, but use a log2 algorithm.
|
||
|
|
#
|
||
|
|
|
||
|
|
def num2sym(num):
|
||
|
|
# Each number will have at least one '#'
|
||
|
|
snum = '#' * (int)(math.log(num, 2) + 1)
|
||
|
|
return snum
|
||
|
|
|
||
|
|
def show_general_events():
|
||
|
|
|
||
|
|
# Check the total record number in the table
|
||
|
|
count = con.execute("select count(*) from gen_events")
|
||
|
|
for t in count:
|
||
|
|
print("There is %d records in gen_events table" % t[0])
|
||
|
|
if t[0] == 0:
|
||
|
|
return
|
||
|
|
|
||
|
|
print("Statistics about the general events grouped by thread/symbol/dso: \n")
|
||
|
|
|
||
|
|
# Group by thread
|
||
|
|
commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)")
|
||
|
|
print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42))
|
||
|
|
for row in commq:
|
||
|
|
print("%16s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
# Group by symbol
|
||
|
|
print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58))
|
||
|
|
symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)")
|
||
|
|
for row in symbolq:
|
||
|
|
print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
# Group by dso
|
||
|
|
print("\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74))
|
||
|
|
dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)")
|
||
|
|
for row in dsoq:
|
||
|
|
print("%40s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
#
|
||
|
|
# This function just shows the basic info, and we could do more with the
|
||
|
|
# data in the tables, like checking the function parameters when some
|
||
|
|
# big latency events happen.
|
||
|
|
#
|
||
|
|
def show_pebs_ll():
|
||
|
|
|
||
|
|
count = con.execute("select count(*) from pebs_ll")
|
||
|
|
for t in count:
|
||
|
|
print("There is %d records in pebs_ll table" % t[0])
|
||
|
|
if t[0] == 0:
|
||
|
|
return
|
||
|
|
|
||
|
|
print("Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n")
|
||
|
|
|
||
|
|
# Group by thread
|
||
|
|
commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)")
|
||
|
|
print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42))
|
||
|
|
for row in commq:
|
||
|
|
print("%16s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
# Group by symbol
|
||
|
|
print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58))
|
||
|
|
symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)")
|
||
|
|
for row in symbolq:
|
||
|
|
print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
# Group by dse
|
||
|
|
dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)")
|
||
|
|
print("\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58))
|
||
|
|
for row in dseq:
|
||
|
|
print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
# Group by latency
|
||
|
|
latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat")
|
||
|
|
print("\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58))
|
||
|
|
for row in latq:
|
||
|
|
print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
|
||
|
|
|
||
|
|
def trace_unhandled(event_name, context, event_fields_dict):
|
||
|
|
print (' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]))
|