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Matching Random Extractors
sachpatel Posts: 14
7/12/2021
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Hi,
I had the following query. When obtaining two extractors from the same request (for example, ext_ID and ext_name). The occurrence type is set to random. The extractors cannot be combined. How can I link the random extractor that is selected for the ID and is linked with the ext_name, i.e. the random index value is the same for both extractors?
Thank you.
Regards, Sachin
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George @StresStimulus Administrator Posts: 566
7/13/2021
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It sounds like you want to create 2 extractors with the same random occurrence. The way to accomplish this is to create the following 2 extractors:
- An extractor with a random occurrence to extract an ID.
- A dynamic extractor with the first occurrence that has the extracted value of the first extractor in the definition.
I don’t know how your response looks but for example let’s say you have a json response as follows:
[ { “id”: 1, “name”: “Mike” }, { “id”: 2, “name”: “Sally” }, { “id”: 3, “name”: “April” } ] You can create 2 extractors as follows:
- Regular expression extractor named ID and random occurrence with the following definition: “id”(\d+)
- Jpath dynamic extractor named Name with first occurrence with following definition: $.[?(@.id =={{ID}}].name
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sachpatel Posts: 14
7/14/2021
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Hi George,
Thank you for the response. I followed the steps. However, the dynamic extractor is not returning a value. The below provides more detail:
Extractor 1: ext_purposeId (Regular Expression) - This extracts the fos_purposeid from a previous request (to the one below). Extractor 2: ext_purposeName (Dynamic extractor, first occurrence). $.[?(@.fos_purposeid == {{ext_purposeId}}].fos_name
JSON snippet "fos_purposeid":"851a66af-be0e-eb11-a813-0022481ae203","fos_name":"ADR highly complex notice - s75 Covid-affected (bulk)"
Is there something wrong with that?
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George @StresStimulus Administrator Posts: 566
7/15/2021
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Thanks for letting me know.
The jpath query looks good, however, I don’t know exactly how your response json looks like to verify that your query is accurate.
One thing I can think of, since you are creating a dynamic extractor, make sure to set the Is the extractor dynamic? property to Yes
![](data:image/png;base64,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)
Also, make sure you are using StresStimulus v5.4 as dynamic jpath extractors were added in that version.
- Cheers
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