?? readme.perfprofiling
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# Rule Profiling Configuration## syntax:# config profile_rules: print [all | num], sort sort_option# - where num is the number of rules to print# - where sort_option is one of:# checks, matches, nomatches, avg_ticks,# avg_ticks_per_match, avg_ticks_per_nomatch, total_ticks## examples:## 1) Print all rules, sort by avg_ticks (default configuration# if option is turned on)# config profile_rules## 2) Print the top 10 rules, based on highest average time# config profile_rules: print 10, sort avg_ticks## 3) Print all rules, sorted by number of checks# config profile_rules: print all, sort checks## 4) Print top 100 rules, based on total time# config profile_rules: print 100, sort total_ticksWhen you use this (see configuration info with example output),snort will print the following table at exit. The column infois:- Number (rank)- Sig ID- Generator ID- Checks (number of times rule was evaludated after fast pattern match within portgroup or ANY->ANY rules)- Matches (number of times ALL rule options matched, will be high for rules that have no options)- Alerts (number of alerts generated from this rule)- CPU Ticks- Avg Ticks per Check- Avg Ticks per Match- Avg Ticks per NonmatchExample, using config profile_rules: print 4, sort total_ticksRule Profile Statistics (worst 4 rules)========================================================== Num SID GID Checks Matches Alerts Ticks Avg/Check Avg/Match Avg/Nonmatch === === === ====== ======= ====== ===== ========= ========= ============ 1 2389 1 1 1 1 385698 385698.0 385698.0 0.0 2 2178 1 2 0 0 107822 53911.0 0.0 53911.0 3 2179 1 2 0 0 92458 46229.0 0.0 46229.0 3 1734 1 2 0 0 90054 45027.0 0.0 45027.0Interpreting this info is the key... The Ticks column is importantbecause that is the total time spent evaluating a given rule. But,if that rule is causing alerts, it makes sense to leave it alone.A high Avg/Check is a poor performing rule, most likely contains PCRE.High Checks and low Avg/Check is usually an ANY->ANY rule with few ruleoptions and no content. Quick to check, the few options may or may notmatch. We are looking at moving some of these into code... Especiallythose with low SIDs. # Preprocessor Profiling Configuration## syntax:# config profile_preprocs: print [all | num], sort sort_option# - where num is the number of rules to print# - where sort_option is one of:# checks, avg_ticks, total_ticks## examples:## 1) Print all preprocessors, sort by avg_ticks (default configuration# if option is turned on)# config profile_preprocs## 2) Print the top 10 preprocessors, based on highest average time# config profile_preprocs: print 10, sort avg_ticks## 3) Print all preprocessors, sorted by number of checks# config profile_preprocs: print all, sort checks# # When printing a specific number of preprocessors all subtasks info# is printed for each layer 0 preprocessor stat.When you use this (see configuration info with example output),snort will print the following table at exit. The column infois:- Number (rank) The number is indented for each layer. Layer 1 preprocessors are listed under their respective caller (and sorted similarly).- Preprocessor Name- Layer- Checks (number of times preprocessor decided to look at a packet, ports matched, app layer header was correct, etc)- Exits (number of corresponding exits -- just to verify code is instrumented correctly, should ALWAYS match Checks, unless an exception was trapped)- CPU Ticks- Avg Ticks per Check- Percent of caller For non layer 0 preprocessors -- ie, subroutines within preprocessors, this identifies the percent of the caller's ticks that is spent for this subtask. Example, using config profile_rules: print 3, sort total_ticksPreprocessor Profile Statistics (worst 3)========================================================== Num Preprocessor Layer Checks Exits Ticks Avg/Check Pct of Caller === ============ ===== ====== ===== ===== ========= ============= 1 s4 0 106323 106323 5457197986 51326.6 0.0 1 s4StateAction 1 106323 106323 1951276047 18352.3 35.8 2 s4ProcessRebuilt 1 1876 1876 1400764326 746676.1 25.7 3 s4State 1 106323 106323 685831114 6450.4 12.6 4 s4GetSess 1 106323 106323 565310684 5316.9 10.4 5 s4PktInsert 1 67828 67828 293546724 4327.8 5.4 6 s4Flush 1 4064 4064 74460923 18322.1 1.4 1 s4Rebuild 2 1876 1876 42991921 22916.8 57.7 7 s4NewSess 1 822 822 6625851 8060.6 0.1 8 s4Prune 1 30 30 3573059 119102.0 0.1 2 httpinspect 0 69704 69704 1090293755 15641.8 0.0 3 sfportscan 0 106323 106323 972732074 9148.8 0.0Because of task swapping, non-instrumented code, and other factors, thePercent of caller field will not add up to 100% of the caller's time.It does give a reasonable indication of how much relative time isspent within each subtask.
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