I am trying to run some performance tests on an ElasticSearch-backed JSON REST API, to try the impact of different filters on ElasticSearch.

I don't want to use the standard jmeter output, because there is too much clutter due to the over-the-wire time.

My API returns the time taken on ElasticSearch based on the took(tookInMillis in the java RestHighLevelClient we are using) property of the org.elasticsearch.action.search.SearchResponse. This is returned in a time_taken` property of the API response.

This is a sample response

{
    "page_size": 1,
    "current_page": 1,
    "number_of_pages": 2495,
    "total_results": 2495,
    "additional_results_exist": false,
    "time_taken": 55,
    "results": [
        {       
                // object here, we don't really care
        },
        {            
                // object here, we don't really care
        }
    ],
    "request_id": "06e8001c-caf2-46f4-bf16-08c8d1ceb079"
}

So, the use case would be:

• send requests via the Loop Controller
• extract the time_taken property from the responses
• get avg, 90%, 95%, 99%, min, max stats based on the time_taken response property.

I have found several references, mentioning JSON extractor, RegEx extactor, beanshell, but I didn't manage to get anything to work.

So, I would really appreciate a minimal working setup.

The jmeter version I am using is 5.4.3

CodePudding user response：

We would really appreciate if you could provide the response from the ElasticSearch because we don't have any idea of how does it look like hence we cannot come up with a proper

If you want to utilize JMeter listeners you can create a "fake" sampler using i.e.

This way the "fake" sampler will have response time from the took ElasticSearch response JMeter will calculate the percentiles.

Demo: