korra | Session-based load testing using text files
kandi X-RAY | korra Summary
kandi X-RAY | korra Summary
Korra builds on Vegeta to process sessions that simulate one or many users moving through a prescribed workflow. This is quite different from typical load testing tools , and if you're trying to flood your site with customers randomly browsing your product catalog you should use something like:. or any of a number of other, far more mature tools. (This presentation might provide some additional background on that.). So each concurrent session that Korra processes is backed by a script, which is just an ordered sequence of simple actions. How you generate this script is up to you. It's plain text and in a straightforward format very similar to Vegeta, allowing custom headers and body per request along with additional directives to pause between steps, or poll a URL until a specified halt condition. It walks through these actions one at a time in a session, logging information about each transaction. Every session is separate from every other session, and we use Go's concurrency model to potentially represent many thousands of users on a single node. Once all sessions are complete you can report on the results. Transaction results can be dumped to JSON or CSV formats so you can process with your favorite tools, and there are some simple reports Korra can generate out of the box.
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QUESTION
The have an issue where I am unable to call nested JSON Objects from a scraped website. The scraping process works prefectly, but the JSON Serializing part is the only issue. My code is shown below:
...ANSWER
Answered 2020-Mar-11 at 16:48There are many issues in your code. I don't know all the libraries you are using but here is how I would do it.
First of all you start a GetStringAsync
but you continue immediately without waiting for results. I don't know all the libraries you are using ofcourse maybe it is supposed to be like that?
However I would rather use Unity's UnityWebRequest.Get
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Install korra
You can also reference a Docker container and mount your scripts. You'll need to mount your directory of scripts to /app/scripts, which is where the output will be written as well:.
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