slowwly | test service to mock a slow api response | HTTP library
kandi X-RAY | slowwly Summary
kandi X-RAY | slowwly Summary
A test service to mock a slow api response - simply prepend your Slowwly URL with delay configuration to your usual API URL and make a request, the response will be delayed. This can be used to simulate timeouts so that you can see how your application responds with slow API requests or if it fails where you expect it to fail. There are other services doing this but Slowwly will respond to POST requests as well as GET. Example URL with request delayed by 2 seconds - Slowwly is deployed @so go ahead and use it or run locally. Example URL with request delayed by 2.5 seconds - This project aims to;.
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Top functions reviewed by kandi - BETA
- Sets the params for the request
- Sets the headers .
- Set the delay
- Set URL value
- Convert seconds to seconds
slowwly Key Features
slowwly Examples and Code Snippets
Community Discussions
Trending Discussions on slowwly
QUESTION
I'm trying to reach a server, which is occasionally slow. The ktor client I'm using is crashing with an Exception in thread "main" kotlinx.coroutines.TimeoutCancellationException: Timed out waiting for 15000 ms
, even though I never specified any limit. Is there a default timeout integrated?
Minimal example:
main.kt
...ANSWER
Answered 2020-Nov-18 at 07:33Looking at the documentation you should do like that:
QUESTION
Consider the following two snippets where first wraps scalaj-http requests with Future
, whilst second uses async-http-client
Sync client wrapped with Future using global EC
...ANSWER
Answered 2020-Aug-04 at 00:00Future#sequence should execute the HTTP requests in parallel?
First of all, Future#sequence
doesn't execute anything. It just produces a future that completes when all parameters complete.
Evaluation (execution) of constructed futures starts immediately If there is a free thread in the EC. Otherwise, it simply submits it for a sort of queue.
I am sure that in the first case you have single thread execution of futures.
println(scala.concurrent.ExecutionContext.Implicits.global) -> parallelism = 6
Don't know why it is like this, it might that other 5 thread is always busy for some reason. You can experiment with explicitly created new EC with 5-10 threads.
The difference with the Async case that you don't create a future by yourself, it is provided by the library, that internally don't block the thread. It starts the async process, "subscribes" for a result, and returns the future, which completes when the result will come.
Actually, async lib could have another EC internally, but I doubt.
Btw, Futures are not supposed to contain slow/io/blocking evaluations without blocking
. Otherwise, you potentially will block the main thread pool (EC) and your app will be completely frozen.
QUESTION
i feel pretty confused by the output i'm getting out of what i believe is purely async program. As you can observe there are no obvious anti patterns (i hope) and blocking calls.
slowURL
throttles server response for 10 seconds. I did confirm by running calls to the local server with 10 second timeout that FetchSlowAsync
method call effectively blocks the main thread for 10 seconds when running the code in console.
I expected that TaskScheduler would schedule the calls not in a sequential manner but by always randomly determining the method call order. Alas the output is always deterministic.
...ANSWER
Answered 2019-May-25 at 18:13Currently, you're waiting for the task returned from FetchSlowAsync()
to complete before moving on to call FetchBingAsync
etc. You're doing that by awaiting the tasks, here:
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