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Sunday, October 23, 2016

Processing JMeter Results using awk

awk is Pattern scanning and processing language. Its name is derived from its authors “Aho, Weinberger, and Kernighan”.
Some of its features are:
  • Awk views a text file as records and fields
  • Awk has variables, conditionals and loops
  • Awk has arithmetic and string operators
  • Awk can generate formatted reports
Syntax:
awk '/search pattern1/ {Actions}
    
/search pattern2/ {Actions}' file
Herein :
  • search pattern is a regular expression.
  • Actions – statement (s) to be performed.
  • several patterns and actions can be used in Awk.
  • file is the Input file.
  • Single quotes around program avoids shell interpreting any special characters.


Let’s Consider following jmeter summary file -


summary +    41 in  15.4s =    2.7/s Avg:  2234 Min:   383 Max:  6974 Err: 0 (0.00%)
summary +    57 in  21.5s =    2.6/s Avg:  2548 Min:   618 Max:  4528 Err: 0 (0.00%)
summary =    98 in  32.5s =    3.0/s Avg:  2416 Min:   383 Max:  6974 Err: 0 (0.00%)
summary +   108 in  21.8s =    5.0/s Avg:  1291 Min:   229 Max:  6317 Err: 0 (0.00%)
summary =   206 in  52.5s =    3.9/s Avg:  1827 Min:   229 Max:  6974 Err: 0 (0.00%)


Let’s assume that we want to print lines where avg response time is more than 2500ms
awk '{if($9>2500){print $0}}' file.txt


Herein $9 is the the 9th field in log file and $0 denotes all of record


Hence we would get following output -
summary +    57 in  21.5s =    2.6/s Avg:  2548 Min:   618 Max:  4528 Err: 0 (0.00%)


Or printing the records with avg response time more than 2400ms


awk '{if($9>2400){print $0}}' file.txt


And we would get following output -


summary +    57 in  21.5s =    2.6/s Avg:  2548 Min:   618 Max:  4528 Err: 0 (0.00%)
summary =    98 in  32.5s =    3.0/s Avg:  2416 Min:   383 Max:  6974 Err: 0 (0.00%)


Find the total number of record in jmeter.log file -


wc file.txt | awk ‘{print $0}’


Consider that you are logging custom variables on Jmeter log file (i.e. email address etc) and now you want to figure out which email address caused higher latency. Can you guess how you can achieve it?
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