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Diffstat (limited to 'tools')
| -rw-r--r-- | tools/perf/scripts/python/event_analyzing_sample.py | 193 |
1 files changed, 193 insertions, 0 deletions
diff --git a/tools/perf/scripts/python/event_analyzing_sample.py b/tools/perf/scripts/python/event_analyzing_sample.py new file mode 100644 index 000000000000..46f05aad6d07 --- /dev/null +++ b/tools/perf/scripts/python/event_analyzing_sample.py | |||
| @@ -0,0 +1,193 @@ | |||
| 1 | # process_event.py: general event handler in python | ||
| 2 | # | ||
| 3 | # Current perf report is alreay very powerful with the anotation integrated, | ||
| 4 | # and this script is not trying to be as powerful as perf report, but | ||
| 5 | # providing end user/developer a flexible way to analyze the events other | ||
| 6 | # than trace points. | ||
| 7 | # | ||
| 8 | # The 2 database related functions in this script just show how to gather | ||
| 9 | # the basic information, and users can modify and write their own functions | ||
| 10 | # according to their specific requirment. | ||
| 11 | # | ||
| 12 | # The first sample "show_general_events" just does a baisc grouping for all | ||
| 13 | # generic events with the help of sqlite, and the 2nd one "show_pebs_ll" is | ||
| 14 | # for a x86 HW PMU event: PEBS with load latency data. | ||
| 15 | # | ||
| 16 | |||
| 17 | import os | ||
| 18 | import sys | ||
| 19 | import math | ||
| 20 | import struct | ||
| 21 | import sqlite3 | ||
| 22 | |||
| 23 | sys.path.append(os.environ['PERF_EXEC_PATH'] + \ | ||
| 24 | '/scripts/python/Perf-Trace-Util/lib/Perf/Trace') | ||
| 25 | |||
| 26 | from perf_trace_context import * | ||
| 27 | from EventClass import * | ||
| 28 | |||
| 29 | # | ||
| 30 | # If the perf.data has a big number of samples, then the insert operation | ||
| 31 | # will be very time consuming (about 10+ minutes for 10000 samples) if the | ||
| 32 | # .db database is on disk. Move the .db file to RAM based FS to speedup | ||
| 33 | # the handling, which will cut the time down to several seconds. | ||
| 34 | # | ||
| 35 | con = sqlite3.connect("/dev/shm/perf.db") | ||
| 36 | con.isolation_level = None | ||
| 37 | |||
| 38 | def trace_begin(): | ||
| 39 | print "In trace_begin:\n" | ||
| 40 | |||
| 41 | # | ||
| 42 | # Will create several tables at the start, pebs_ll is for PEBS data with | ||
| 43 | # load latency info, while gen_events is for general event. | ||
| 44 | # | ||
| 45 | con.execute(""" | ||
| 46 | create table if not exists gen_events ( | ||
| 47 | name text, | ||
| 48 | symbol text, | ||
| 49 | comm text, | ||
| 50 | dso text | ||
| 51 | );""") | ||
| 52 | con.execute(""" | ||
| 53 | create table if not exists pebs_ll ( | ||
| 54 | name text, | ||
| 55 | symbol text, | ||
| 56 | comm text, | ||
| 57 | dso text, | ||
| 58 | flags integer, | ||
| 59 | ip integer, | ||
| 60 | status integer, | ||
| 61 | dse integer, | ||
| 62 | dla integer, | ||
| 63 | lat integer | ||
| 64 | );""") | ||
| 65 | |||
| 66 | # | ||
| 67 | # Create and insert event object to a database so that user could | ||
| 68 | # do more analysis with simple database commands. | ||
| 69 | # | ||
| 70 | def process_event(param_dict): | ||
| 71 | event_attr = param_dict["attr"] | ||
| 72 | sample = param_dict["sample"] | ||
| 73 | raw_buf = param_dict["raw_buf"] | ||
| 74 | comm = param_dict["comm"] | ||
| 75 | name = param_dict["ev_name"] | ||
| 76 | |||
| 77 | # Symbol and dso info are not always resolved | ||
| 78 | if (param_dict.has_key("dso")): | ||
| 79 | dso = param_dict["dso"] | ||
| 80 | else: | ||
| 81 | dso = "Unknown_dso" | ||
| 82 | |||
| 83 | if (param_dict.has_key("symbol")): | ||
| 84 | symbol = param_dict["symbol"] | ||
| 85 | else: | ||
| 86 | symbol = "Unknown_symbol" | ||
| 87 | |||
| 88 | # Creat the event object and insert it to the right table in database | ||
| 89 | event = create_event(name, comm, dso, symbol, raw_buf) | ||
| 90 | insert_db(event) | ||
| 91 | |||
| 92 | def insert_db(event): | ||
| 93 | if event.ev_type == EVTYPE_GENERIC: | ||
| 94 | con.execute("insert into gen_events values(?, ?, ?, ?)", | ||
| 95 | (event.name, event.symbol, event.comm, event.dso)) | ||
| 96 | elif event.ev_type == EVTYPE_PEBS_LL: | ||
| 97 | event.ip &= 0x7fffffffffffffff | ||
| 98 | event.dla &= 0x7fffffffffffffff | ||
| 99 | con.execute("insert into pebs_ll values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", | ||
| 100 | (event.name, event.symbol, event.comm, event.dso, event.flags, | ||
| 101 | event.ip, event.status, event.dse, event.dla, event.lat)) | ||
| 102 | |||
| 103 | def trace_end(): | ||
| 104 | print "In trace_end:\n" | ||
| 105 | # We show the basic info for the 2 type of event classes | ||
| 106 | show_general_events() | ||
| 107 | show_pebs_ll() | ||
| 108 | con.close() | ||
| 109 | |||
| 110 | # | ||
| 111 | # As the event number may be very big, so we can't use linear way | ||
| 112 | # to show the histgram in real number, but use a log2 algorithm. | ||
| 113 | # | ||
| 114 | |||
| 115 | def num2sym(num): | ||
| 116 | # Each number will have at least one '#' | ||
| 117 | snum = '#' * (int)(math.log(num, 2) + 1) | ||
| 118 | return snum | ||
| 119 | |||
| 120 | def show_general_events(): | ||
| 121 | |||
| 122 | # Check the total record number in the table | ||
| 123 | count = con.execute("select count(*) from gen_events") | ||
| 124 | for t in count: | ||
| 125 | print "There is %d records in gen_events table" % t[0] | ||
| 126 | if t[0] == 0: | ||
| 127 | return | ||
| 128 | |||
| 129 | print "Statistics about the general events grouped by thread/symbol/dso: \n" | ||
| 130 | |||
| 131 | # Group by thread | ||
| 132 | commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)") | ||
| 133 | print "\n%16s %8s %16s\n%s" % ("comm", "number", "histgram", "="*42) | ||
| 134 | for row in commq: | ||
| 135 | print "%16s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 136 | |||
| 137 | # Group by symbol | ||
| 138 | print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histgram", "="*58) | ||
| 139 | symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)") | ||
| 140 | for row in symbolq: | ||
| 141 | print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 142 | |||
| 143 | # Group by dso | ||
| 144 | print "\n%40s %8s %16s\n%s" % ("dso", "number", "histgram", "="*74) | ||
| 145 | dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)") | ||
| 146 | for row in dsoq: | ||
| 147 | print "%40s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 148 | |||
| 149 | # | ||
| 150 | # This function just shows the basic info, and we could do more with the | ||
| 151 | # data in the tables, like checking the function parameters when some | ||
| 152 | # big latency events happen. | ||
| 153 | # | ||
| 154 | def show_pebs_ll(): | ||
| 155 | |||
| 156 | count = con.execute("select count(*) from pebs_ll") | ||
| 157 | for t in count: | ||
| 158 | print "There is %d records in pebs_ll table" % t[0] | ||
| 159 | if t[0] == 0: | ||
| 160 | return | ||
| 161 | |||
| 162 | print "Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n" | ||
| 163 | |||
| 164 | # Group by thread | ||
| 165 | commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)") | ||
| 166 | print "\n%16s %8s %16s\n%s" % ("comm", "number", "histgram", "="*42) | ||
| 167 | for row in commq: | ||
| 168 | print "%16s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 169 | |||
| 170 | # Group by symbol | ||
| 171 | print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histgram", "="*58) | ||
| 172 | symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)") | ||
| 173 | for row in symbolq: | ||
| 174 | print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 175 | |||
| 176 | # Group by dse | ||
| 177 | dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)") | ||
| 178 | print "\n%32s %8s %16s\n%s" % ("dse", "number", "histgram", "="*58) | ||
| 179 | for row in dseq: | ||
| 180 | print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 181 | |||
| 182 | # Group by latency | ||
| 183 | latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat") | ||
| 184 | print "\n%32s %8s %16s\n%s" % ("latency", "number", "histgram", "="*58) | ||
| 185 | for row in latq: | ||
| 186 | print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) | ||
| 187 | |||
| 188 | def trace_unhandled(event_name, context, event_fields_dict): | ||
| 189 | print ' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]) | ||
| 190 | |||
| 191 | def print_header(event_name, cpu, secs, nsecs, pid, comm): | ||
| 192 | print "%-20s %5u %05u.%09u %8u %-20s " % \ | ||
| 193 | (event_name, cpu, secs, nsecs, pid, comm), | ||
