{"id":16525,"date":"2024-06-19T18:13:14","date_gmt":"2024-06-19T18:13:14","guid":{"rendered":"https:\/\/abstracta.us\/blog\/?p=16525"},"modified":"2025-05-05T21:18:41","modified_gmt":"2025-05-05T21:18:41","slug":"jmeter-correlation-recorder-2-5-new-plugin-version","status":"publish","type":"post","link":"https:\/\/abstracta.us\/blog\/performance-testing\/jmeter-correlation-recorder-2-5-new-plugin-version\/","title":{"rendered":"JMeter Correlation Recorder 2.5: An Approach to the New Plugin Version"},"content":{"rendered":"\n

Learn how the latest version of the JMeter Correlation Recorder plugin can make correlating dynamic values easier and minimize errors in performance testing.<\/p>\n\n\n\n

\"JMeter<\/figure>\n\n\n\n

Facing the ever-evolving challenges of performance testing with JMeter, teams are constantly on the lookout for solutions, especially when it comes to the intricate task of correlating dynamic values in automated flows. <\/strong><\/p>\n\n\n\n

This critical process, demanding a keen eye for detail and a significant investment of time, is pivotal for achieving accurate testing outcomes. The stakes are high, as any oversight in replacements or missed parameterizations can lead to failures, particularly in extensive flows.<\/p>\n\n\n\n

Hence, the Correlation Recorder or Automatic Correlation Recorder (ACR), as it’s commonly known, comes into play. <\/p>\n\n\n\n

With its latest update to version 2.5, this JMeter plugin introduces an array of features aimed at simplifying the correlation process through diverse methods.<\/strong><\/p>\n\n\n\n

In this article, we aim to shed light on the plugin’s benefits and its transformative impact on daily operations. For a deeper dive into its functionalities, we recommend exploring the User Guide<\/a> and Installation Guide<\/a> available through BlazeMeter Labs<\/a>.<\/p>\n\n\n\n

Explore our tailored <\/strong>Performance Testing Services!<\/strong><\/a><\/p>\n\n\n\n

<\/span>Correlation Recorder 2.5 Features<\/span><\/h2>\n\n\n\n
\"Correlation<\/figure>\n\n\n\n

Firstly, when starting to use the tool, the Correlation Recorder provides a template for recording and correlating in any mode<\/strong>. We highly recommend its use, as it contains all the necessary elements for a simple and successful development.<\/p>\n\n\n\n

\"Template
Template View of the Correlation Recorder Loaded in JMeter<\/figcaption><\/figure>\n\n\n\n

This template automatically applies general filters to ignore extra traffic from recordings, saving time. You can use these filters as they are or customize them for your recording. You can also add new ones.<\/p>\n\n\n\n

Currently, the Correlation Recorder offers three main modes for dynamic value linking:<\/strong><\/p>\n\n\n\n

    \n
  1. Through legacy.<\/li>\n\n\n\n
  2. By automatically comparing and detecting variables.<\/li>\n\n\n\n
  3. Using existing templates.<\/li>\n<\/ol>\n\n\n\n

    Exploring each method allows us to assess its viability in presented scenarios, choosing the most suitable alternative for each situation.
    <\/p>\n\n\n\n

    Click here<\/strong><\/a> to keep learning with our guide on Continuous Performance Testing!<\/strong><\/p>\n\n\n\n

    <\/span>Dynamic Value Linking <\/span><\/h2>\n\n\n\n

    1.Through Legacy<\/strong><\/h4>\n\n\n\n
    \"Representative<\/figure>\n\n\n\n

    Legacy Correlation involves setting a custom rule set based on flow knowledge and identifying dynamic values needing correlation.<\/strong><\/p>\n\n\n\n

    This mode closely resembles the manual correlation that JMeter flow automators use. It involves identifying both extraction and replacement regular expressions and re-recording to verify the process is accurate.<\/p>\n\n\n\n

    Next, we share a table with some real examples of extraction and replacement regular expressions:<\/p>\n\n\n\n

    N\u00b0<\/strong><\/td>Regular Expression for Extraction<\/strong><\/td>Regular Expression for Replacement<\/strong><\/td><\/tr>
    1<\/td>_wpnonce=([a-zA-Z0-9]*)’<\/td>_wpnonce=([a-zA-Z0-9]*)<\/td><\/tr>
    2<\/td>name=”execution” value=”(.*?)”<\/td>execution=([^&]+)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    In the latest version of the plugin, the process of extraction and replacement in .JSON format is made easier, allowing for more efficient correlation of values in structured data.<\/p>\n\n\n\n

    While this was possible before by using regular expressions for that purpose, now the use of JSON-path extractors simplifies the capture of specific information straightforwardly.<\/p>\n\n\n\n

    Upon closer examination of correlation through legacy, it requires the creation of replacement regular expressions that may sometimes be the same, similar, or different from the extraction ones. This entails an initial time investment to set up a set of rules, in scenarios where they may not be reusable.<\/p>\n\n\n\n

    For instance, scenarios like the following could illustrate this point, among others:<\/strong><\/p>\n\n\n\n