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Users typically configure a JSON Data Bank by accessing the "Use Data Source Wizard" while parameterizing a value in a tool such as the REST Client or Messaging Client tool. This provides a quick, intuitive, and largely automated way to extract data from one tool and use it another. You simply go to the tool where you want to insert extracted data, then use a wizard to specify what data (e.g., from what tool) you want to extract. This is the usage model demonstrated in the Storing Results to Be Used in Subsequent Tests tutorial. This same method can be used to extract data that is used to set a variable. Alternatively, you can manually configure a JSON Data Bank tool to extract data from one tool, then manually configure other tools to use the extracted values.

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Video Tutorial

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For example, you can configure a test suite that tests a bank’s service transactions. Test 1 of that test suite can log on to the service using a User ID, then the JSON response would return a session ID back to Test 1. Test 2 of that test suite can be configured to use the session ID from Test 1 to perform transactions. You can configure any of the tests in a test suite to use JSON response parameters as JSON request parameters.

Users typically configure a JSON Data Bank in SOAtest by accessing the "Use Data Source Wizard" while parameterizing a value in a tool such as the REST Client or Messaging Client tool. This provides a quick, intuitive, and largely automated way to extract data from one tool and use it another. You simply go to the tool where you want to insert extracted data, then use a wizard to specify what data (e.g., from what tool) you want to extract. This is the usage model demonstrated in the Storing Results to Be Used in Subsequent Tests tutorial. This same method can be used to extract data that is used to set a variable. Alternatively, you can manually configure a JSON Data Bank tool to extract data from one tool, then manually configure other tools to use the extracted values.

You can use a JSON Data Bank in Virtualize, for example, to extract a value from an incoming request and use it to populate an element of the response to be sent when that request is received. You can configure JSON Data Banks automatically when using wizards to create virtual assets from traffic. In addition, you can use the "Use Data Source Wizard" to extract a value and use it as a parameterized value in a response. For Message Responders, you can extract values from the incoming request (body or header); for other tools (e.g., tools used in action suites), you can extract values from another tool in the suite. Another option is to manually add a JSON Data Bank tool (as an output to an existing tool) that extracts the desired data, then configure other tools to use the extracted data.

Video Tutorial

In this video, you'll learn how to extract values from JSON responses and reuse them in other tests.

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Configuring JSON Data Bank Using the Data Source Wizard

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