I get the following result when I run a load test. Can any one help me to read the report?
the number of thread = '500 '
ramp up period = '1'
Sample = '500'
Avg = '20917'
min = '820'
max = '48158'
Std Deviation = '10563.178194669255'
Error % = '0.046'
throughput = '10.375381295262601'
KB/Sec = `247.05023046315702`
Avg. Bytes = '24382.664'
Short explanation looks like:
If you having troubles with interpreting results you could try BM.Sense results analysis service
response time means first response arrived or entire response recieved? –
Chill The JMeter docs say the following:
The summary report creates a table row for each differently named request in your test. This is similar to the Aggregate Report , except that it uses less memory. The thoughput is calculated from the point of view of the sampler target (e.g. the remote server in the case of HTTP samples). JMeter takes into account the total time over which the requests have been generated. If other samplers and timers are in the same thread, these will increase the total time, and therefore reduce the throughput value. So two identical samplers with different names will have half the throughput of two samplers with the same name. It is important to choose the sampler labels correctly to get the best results from the Report.
Times are in milliseconds.
A Jmeter Test Plan must have listener to showcase the result of performance test execution.
Listeners capture the response coming back from Server while Jmeter runs and showcase in the form of – tree, tables, graphs and log files.
It also allows you to save the result in a file for future reference. There are many types of listeners Jmeter provides. Some of them are: Summary Report, Aggregate Report, Aggregate Graph, View Results Tree, View Results in Table etc.
Here is the detailed understanding of each parameter in Summary report.
By referring to the figure:
Label: It is the name/URL for the specific HTTP(s) Request. If you have selected “Include group name in label?” option then the name of the Thread Group is applied as the prefix to each label.
Samples: This indicates the number of virtual users per request.
Average: It is the average time taken by all the samples to execute specific label. In our case, the average time for Label 1 is 942 milliseconds & total average time is 584 milliseconds.
Min: The shortest time taken by a sample for specific label. If we look at Min value for Label 1 then, out of 20 samples shortest response time one of the sample had was 584 milliseconds.
Max: The longest time taken by a sample for specific label. If we look at Max value for Label 1 then, out of 20 samples longest response time one of the sample had was 2867 milliseconds.
Std. Dev.: This shows the set of exceptional cases which were deviating from the average value of sample response time. The lesser this value more consistent the data. Standard deviation should be less than or equal to half of the average time for a label.
Error%: Percentage of Failed requests per Label.
Throughput: Throughput is the number of request that are processed per time unit(seconds, minutes, hours) by the server. This time is calculated from the start of first sample to the end of the last sample. Larger throughput is better.
KB/Sec: This indicates the amount of data downloaded from server during the performance test execution. In short, it is the Throughput measured in Kilobytes per second.
For more information: http://www.testingjournals.com/understand-summary-report-jmeter/
Sample: Number of requests sent.
The Throughput: is the number of requests per unit of time (seconds, minutes, hours) that are sent to your server during the test.
The Response time: is the elapsed time from the moment when a given request is sent to the server until the moment when the last bit of information has returned to the client.
The throughput is the real load processed by your server during a run but it does not tell you anything about the performance of your server during this same run. This is the reason why you need both measures in order to get a real idea about your server’s performance during a run. The response time tells you how fast your server is handling a given load.
Average: This is the Average (Arithmetic mean μ = 1/n * Σi=1…n xi) Response time of your total samples.
Min and Max are the minimum and maximum response time.
An important thing to understand is that the mean value can be very misleading as it does not show you how close (or far) your values are from the average.For this purpose, we need the Deviation value since Average value can be the Same for different response time of the samples!!
Deviation: The standard deviation (σ) measures the mean distance of the values to their average (μ).It gives you a good idea of the dispersion or variability of the measures to their mean value.
The following equation show how the standard deviation (σ) is calculated:
σ = 1/n * √ Σi=1…n (xi-μ)2
For Details, see here!!
So, if the deviation value is low compared to the mean value, it will indicate you that your measures are not dispersed (or mostly close to the mean value) and that the mean value is significant.
Kb/sec: The throughput measured in Kilobytes per second.
Error % : Percent of requests with errors.
An example is always better to understand!!! I think, this article will help you.
There are lots of explanation of Jmeter Summary, I have been using this tool from quite some time for generating performance testing report with relevant data. The explanation available on below link is right from the field experience:
Jmeter:Understanding Summary Report
This is one of the most useful report generated by Jmeter to undertstand the load test result.
# Label: Name of HTTP sample request send to server
# Samples : This Captures the total number of samples pushed to server. Suppose you put a Loop Controller to run it 5 times this particular request and then 2 iteration(Called Loop Count in Thread Group)is set and load test is run for 100 users, then the count that will be displayed here .... 1*5*2 * 100 =1000. Total = total number of samples send to server during entire run.
# Average : It's an average response time for a particular http request. This response time is in millisecond, and an average for 5 loops in two iteration for 100 users. Total = Average of total average of samples, means add all averages for all samples and divide by number of samples
# Min : Minmum time spend by sample requests send for this label. The total equals to the minimum time across all samples.
# Max : Maximum tie spend by sample requests send for this label The total equals to the maxmimum time across all samples.
# Std. Dev. : Knowing the standard deviation of your data set tells you how densely the data points are clustered around the mean. The smaller the standard deviation, the more consistent the data. Standard deviation should be less than or equal to half of the average time for a label. If it is more than that, then it means that something is wrong. you need to figure out the problem and fix it. https://en.wikipedia.org/wiki/Standard_deviation Total is euqals to highest deviation across all samples.
# Error: Total percentage of erros found for a particular sample request. 0.0% shows that all requests completed successfully. Total equals to percentage of errors samples in all samples (Total Samples)
# Throughput: Hits/sec, or total number of request per unit of time(sec, mins, hr) send to server during test.
endTime = lastSampleStartTime + lastSampleLoadTime startTime = firstSampleStartTime converstion = unit time conversion value Throughput = Numrequests / ((endTime - startTime)*conversion)# KB/sec : Its mesuring throughput rate in Kilobytes per second.
# Avg. Bytes: Avegare of total bytes of data downloaded from server. Totals is average bytes across all samples.
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