Once all the Virtual Users have stopped, monitor for _ seconds: Check/Uncheck as per your need and provide the value in the field.

Before the first Virtual User starts, monitor for _ seconds: Check/Uncheck as per your need and provide the value in the field.

Store variables for raw data export: Check/Uncheck as per your need.

Display Virtual User status during the test: Check/Uncheck as per your need.

In addtion, check-mark this option to apply the SLA in the test. Service Level Agreement: If you do not have SLA then this option will be disabled else you can choose the approriate SLA from the drop-down list.Description: To provide the description related to the selected scenario.General Information: It contains the generic information about the selected scenario like:.Advanced parameters for this scenario: When you click this button, a pop-up appears with the following tabs:.At the bottom of this section, there are 3 buttons: If you deleted all the scenarios then the other sections will be greyed-out. You can add or delete the scenario by pressing ‘+’ or ‘-‘ button respectevely which is in the right side of the section. By default, there is a scenario named scenario1 that you can rename by double clicking on it or via ‘Advanced parameters for this scenario’ setting. Scenarios: It contains the list of test scenarios.The ‘Scenarios’ tab is divided into five sections which are: What is meaning of different sections which help in scenario creation?.What are the different options available to create an accurate performance test scenario?.The post was originally published in 2018 and was most recently updated in July 2021.Before creating a NeoLoad Test Scenario, you need to understand: Together, NeoLoad and JSON make a great team, working to handle your application’s data, saving it dynamically during load testing. It has features to detect and parse JSON structures, extracting values from them for later use to maintain a dynamic design approach with new data for each iteration. NeoLoad, as a load testing tool, has powerful functions to help use and manipulate JSON content. Note you can also add a regular expression to this extraction to further parse the data before using it in a variable in a later request. By default, it will select the referenced object for the “name” node (“Leanne Graham” in the example):Īnd, by further manipulating the data, we can extract ALL of the name values by changing the $.name expression to $.name to get an array of values, as the wildcard extracts all of the matching values:Īt this point, all of the names are extracted and in a variety of values. If we wanted to extract the names of the users in this list, we could act by selecting via “name” node. NeoLoad allows the parsing of the XML format to a tree view, allowing for specific data selection. This allows powerful command over extracting specific nodes or values. When creating the extraction by using the picker, we are presented with the nodes within the JSON content. Let’s take a look at how NeoLoad views this same response when using the new JSONPath extractor: NeoLoad goes even further when performing correlation, particularly, when handling JSON content. “catchPhrase”: “Multi-layered client-server neural-net”, Here is an example from a sample website that uses JSON structure to provide user info:Īs you can see, it is difficult to read, so NeoLoad detects it as JSON, presenting a way for the user to see the data in a simplistic format, for instance: This makes extractions and correlation much easier. It can parse JSON data structures and view content with XML parsers. NeoLoad has powerful built-in features to detect JSON content and is customizable to work with other content types needing to be identified as JSON.

Commonly, JSON requests end with a “.json” extension and have the standard content yype: application/json. It makes it easy for the application to parse and add new data. This block of data might be referred to as an object, with an array of strings and values. This format makes it easy to interchange data for other segments of info. Take the example below for data of a user: Its structure allows it to be easily modified for an application, as well as for a load testing tool. JSON makes it easy to handle data for web applications. Since it is so widely used and accepted for data handling, it is only natural to have a load testing tool that can easily support and collaborate with JSON. The form and structure of JSON are meant to replace XML and AJAX systems. It uses objects and arrays, with strings and values, to structure data in the file format. It has familiarities to programming languages, but with an easier-to-read format.

JSON, or JavaScript Object Notation, is a lightweight, text-readable format used in many web applications.

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