diff options
Diffstat (limited to 'tools/perf/scripts/python/event_analyzing_sample.py')
| -rw-r--r-- | tools/perf/scripts/python/event_analyzing_sample.py | 30 |
1 files changed, 13 insertions, 17 deletions
diff --git a/tools/perf/scripts/python/event_analyzing_sample.py b/tools/perf/scripts/python/event_analyzing_sample.py index 46f05aad6d07..163c39fa12d9 100644 --- a/tools/perf/scripts/python/event_analyzing_sample.py +++ b/tools/perf/scripts/python/event_analyzing_sample.py @@ -1,15 +1,15 @@ -# process_event.py: general event handler in python +# event_analyzing_sample.py: general event handler in python # -# Current perf report is alreay very powerful with the anotation integrated, +# 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 requirment. +# according to their specific requirement. # -# The first sample "show_general_events" just does a baisc grouping for all +# 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. # @@ -85,7 +85,7 @@ def process_event(param_dict): else: symbol = "Unknown_symbol" - # Creat the event object and insert it to the right table in database + # 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) @@ -109,7 +109,7 @@ def trace_end(): # # As the event number may be very big, so we can't use linear way -# to show the histgram in real number, but use a log2 algorithm. +# to show the histogram in real number, but use a log2 algorithm. # def num2sym(num): @@ -130,18 +130,18 @@ def show_general_events(): # 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", "histgram", "="*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])) # Group by symbol - print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histgram", "="*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])) # Group by dso - print "\n%40s %8s %16s\n%s" % ("dso", "number", "histgram", "="*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])) @@ -163,31 +163,27 @@ def show_pebs_ll(): # 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", "histgram", "="*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])) # Group by symbol - print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histgram", "="*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])) # 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", "histgram", "="*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])) # 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", "histgram", "="*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])) 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())]) - -def print_header(event_name, cpu, secs, nsecs, pid, comm): - print "%-20s %5u %05u.%09u %8u %-20s " % \ - (event_name, cpu, secs, nsecs, pid, comm), |