Commit c253c72e authored by Tony Jones's avatar Tony Jones Committed by Arnaldo Carvalho de Melo
Browse files

perf script python: Add Python3 support to event_analyzing_sample.py



Support both Python2 and Python3 in the event_analyzing_sample.py script

There may be differences in the ordering of output lines due to
differences in dictionary ordering etc.  However the format within lines
should be unchanged.

The use of 'from __future__' implies the minimum supported Python2 version
is now v2.6

Signed-off-by: default avatarTony Jones <tonyj@suse.de>
Cc: Feng Tang <feng.tang@intel.com>
Link: http://lkml.kernel.org/r/20190302011903.2416-5-tonyj@suse.de


Signed-off-by: default avatarSeeteena Thoufeek <s1seetee@linux.vnet.ibm.com>
Signed-off-by: default avatarArnaldo Carvalho de Melo <acme@redhat.com>
parent 57e604b1
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+25 −23
Original line number Diff line number Diff line
@@ -15,6 +15,8 @@
# for a x86 HW PMU event: PEBS with load latency data.
#

from __future__ import print_function

import os
import sys
import math
@@ -37,7 +39,7 @@ con = sqlite3.connect("/dev/shm/perf.db")
con.isolation_level = None

def trace_begin():
        print "In trace_begin:\n"
        print("In trace_begin:\n")

        #
        # Will create several tables at the start, pebs_ll is for PEBS data with
@@ -76,12 +78,12 @@ def process_event(param_dict):
        name       = param_dict["ev_name"]

        # Symbol and dso info are not always resolved
        if (param_dict.has_key("dso")):
        if ("dso" in param_dict):
                dso = param_dict["dso"]
        else:
                dso = "Unknown_dso"

        if (param_dict.has_key("symbol")):
        if ("symbol" in param_dict):
                symbol = param_dict["symbol"]
        else:
                symbol = "Unknown_symbol"
@@ -102,7 +104,7 @@ def insert_db(event):
                                event.ip, event.status, event.dse, event.dla, event.lat))

def trace_end():
        print "In trace_end:\n"
        print("In trace_end:\n")
        # We show the basic info for the 2 type of event classes
        show_general_events()
        show_pebs_ll()
@@ -123,29 +125,29 @@ 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]
                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"
        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)
        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]))
             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)
        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]))
             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)
        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]))
             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
@@ -156,35 +158,35 @@ 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]
                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"
        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)
        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]))
             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)
        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]))
             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)
        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]))
             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)
        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]))
             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())])
        print (' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]))