Correlation in JMeter with an Example

LastWhat reviewed:is Septembercorrelation 22,and 2026why it is required?

UseCorrelation is the most important aspect of scripting. It generally includes fetching dynamic data from preceding requests/calls and posting it to the subsequent requests.

Let's take an example to find out why exactly we need correlation

Suppose we have recorded a scenario in JMeterwhich

when

The user enters login details and clicks the OK button

The home page opens and the user takes further actions

Now, if we just playback this script, the test will fail even for a single user. This is because of the authentication mechanism used. When we log in to a website, session variables are dynamically created. These session variables are passed to the subsequent requests and help validation and authentication of the actions performed. So, one cannot just record and playback the requests having these variables. Here, we need to correlate the web requests with the dynamic valuesvariables. And for correlation, we need to use the "Regular Expression Extractor" which makes use of regular expressions.

A brief insight into regular expressions

Regular expressions are used to fetch data from onea string based on a search pattern. Basically, what we do is in order to extract any value (generally a dynamically created value) from a string (text response), we define a left bound of the variable than some wildcard characters and then a right bound (Left Bound)(Wildcard Characters)(Right Bound)

For example: If we have a text response mustlike;

.......__EVENTVALIDATION"value="weriudflsdfspdfusdjfsisdpfjpsdfohsdihffgdfgpdfjsdjfpj" />...

And we need to extract the value of the Event validation variable using regular expressions; the regular expression for the same will be

captured

__EVENTVALIDATION" value="(.+?)" />

where, Left Bound = __EVENTVALIDATION" value="

Wildcard characters = (.+?)

Right Bound = " />

If you do not want to get deeper into regular expressions, then the wildcard characters (.+?) would suffice in most cases.

For more information on regular expressions and reusedmeaning of each wild card character visit;

http://www.regular-expressions.info/tutorialcnt.html 

Regular Expression Extractor

Coming back to JMeter, consider an example where we have two operations-

The user launch website

The user fills in later requests during AIQ executions.

Recommended guidance

• Identify session IDs, tokens, hidden fields,details and otherclicks on the OK button

Now, the call user launch website creates a dynamic valuesvariable beforeevent scalingvalidation load.

Usethat extractorswe can check in the Response Data tab of the "View Result Tree" listener for the call. The value of this variable is then passed to a subsequent call related to "User fill details and variablesclick insteadOK button" as an HTTP post parameter.

Steps for correlating the Event validation values

Run the script containing both the above-stated operations

Go to the Response tab (Text mode) in the "View Result Tree" listener of the "User launch website" operation. BTW, we see the second operation "User fill details and click OK button" in red because it is not yet correlated

Create a Regular expression for extracting the value of the Event validation variable's value. As stated above the R.E. for this will be-

__EVENTVALIDATION" value="(.+?)" />

Go to HTTP request under "User Launch Website" transaction controller -> Add -> Post Processor -> Regular Expression Extractor.

Adding "Regular Expression Extractor" control

R.E. Extractor Parameters Filled

The reference name inserted is the name of the variable created that will capture the Event validation value generated by the HTTP request under the "User launch website" operation

Now pass this variable to the subsequent HTTP request under "User fill details and click OK button" as a post request- overriding the already present hard-coded values.

Validatevalue of the Event Validation variable.

Request without correlation (Hardcoded values)

Request with onecorrelation user(Dynamic beforevalues)

running

Run the test plan again. All green? That's it.

This was all about correlation. In order to get a loadgood test.

understanding

Validationof workflow

correlation

1. Record (or inspectscripting for that matter), we need to have a good understanding of two things- the requestdynamic sequencevariables generated by the programming languages and findRegular dynamicexpressions. values.
2. Add the appropriate JMeter extractor for each value.
3. Reference extracted variables in downstream requests.
4. Run a single-user debug execution and confirm values update each iteration.
5. Scale gradually and monitor errors that indicate missed correlation.

Note:SPREE APP Missed

correlation

Let us take a working example of a Spree App where we will be recording the application and then correlating it

The URL for this Spree App is agiven commonbelow cause:

http://52.42.228.15:8888/

We will be using the above URL to record the below actions

Navigating to the home page

Navigating to the Login page

Entering credentials and clicking on Submit

Clicking on ruby-on-rails-tote

Adding to Cart

Clicking on Products

Clicking on apache-baseball-jersey

Adding to Cart

Clicking on MyAccount

Navigating to the Home page

Logging out

Actions from Step 5 to Step 7 may be repeated depending on the requirement of falsethe failuresuser. Once the above action is recorded user runs the recorded and checks the Output as shown below.

As you can see from the above screen-shot there are a few requests like “Submit”, “My Account” and “Logout” that have failed.

By Checking the “Login Page” response data we find that there is an authentication token that is generated that is unique and should be used for all the failed transactions. The screenshot is given below.

As shown above we will have to use the Regular Expression extractor to extract the token and to be used in performancethe tests.Submit transaction.

The Reference name should be noted and the same should be used in the Submit transaction as shown below.

Replace the same in the transaction which needs the Authenticity token. Save the script and run the test again.

Since we have extracted the token and used it in the transactions wherever necessary all the steps would now pass.