Comments (2)
that's definitely not a generic thing, we might have something like that in skafka directly
However I still do not understand how you can use that?
For instance in skafka we combine all things smart enough so we do block as rare as possible.
from cats-helper.
The idea behind my proposal is in creating ToTry
that will accumulate time taken to execute all effects and raise error if their total execution time exceeds timeout, example:
val toTryOf: ToTryOf[IO] = ???
val foo: Try[Unit] = for {
implicit0(toTry: ToTry[IO]) <- toTryOf. disposable(10.seconds)
_ <- IO.sleep(4.seconds).toTry // success
_ <- IO.sleep(4.seconds).toTry // success
_ <- IO.sleep(4.seconds).toTry // timeout exception as total execution time is ~12 seconds
// all further usages of the `toTry` will raise timeout exception immediately
} yield {}
Now, after taking more detailed look at skafka' RebalanceListener1
I got doubts that the proposal makes sense -- Kafka consumer, available as part of rebalance listener provides access to lots of blocking operations that includes I/O. Time taken by the consumer operations must also be considered in calculation of timeout, that's out of ToTry
scope.
from cats-helper.
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