concurrency-patterns | examples helping to understand the key design | Reactive Programming library
kandi X-RAY | concurrency-patterns Summary
kandi X-RAY | concurrency-patterns Summary
| Pattern | Main Features | Drawbacks | | ------- | ------------- | --------- | | Active Object | execution in a dedicated thread, allows for complex scheduling, good separation of concerns | performance / code overhead | | Monitor Object | cooperative execution scheduling, less of performance overhead | tight coupling, unsuitable for advanced scheduling | | Half-Sync / Half-Async | responsive interface, separation of concerns | performance overhead, harder to debug | | Leader / Followers | | | | Thread-Specific Storage | | |.
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- Simple test
- Returns a File object for the given filename
- Prints a character
- Converts px to a character
- Converts an image to ASCII representation
- Sends a request to the queue
- Create image
- Submits a task to the queue
- This method returns the number of available longs
- Enqueues a task in the queue
- Quits the garbage collector
- Checks if isOccupied
- Marks the barrier as entered in question
- Waits for the pool to become occupied
- Main method
- Get counter increment
- Atomically removes the current value from the queue
- Asynchronously returns the current value
- Decreases the current value
- Captures processing result
concurrency-patterns Key Features
concurrency-patterns Examples and Code Snippets
Community Discussions
Trending Discussions on concurrency-patterns
QUESTION
In the following scenario a network entity always waits for a TimeOutTime
seconds before doing a particular task X
. Assume this time as TimerT
. During this wait of TimeOutTime
seconds if the entity receives a set of external messages, it should reset the same TimerT
to TimeOutTime
again. If no external messages are received the expected behaviour is as follows:
- Timer Expired
- Do task X
- Reset the Timer again to
TimeOutTime
(by reset
I mean, stop the timer and start over again)
To simulate the scenario I wrote the following code in Go.
...ANSWER
Answered 2020-Feb-29 at 17:13Assume you have:
QUESTION
I was trying to understand the following piece of code that reads from a channel of channels. I am having some difficulties wrapping my head around the idea.
...ANSWER
Answered 2019-Aug-04 at 05:59In both cases, the select is done to avoid blocking — if the reader isn't reading from our output channel, the write might block (maybe even forever), but we want the goroutine to terminate when the done
channel is closed, without waiting for anything else. By using the select
, it will wait until either thing happens, and then continue, instead of waiting indefinitely for the write to complete before checking done
.
As for the other question, "why are we not returning here?": well, we could. But we don't have to, because a closed channel remains readable forever (producing an unlimited number of zero values) once it's been closed. So it's okay to do nothing in those "bottom" selects
; if done
was in fact closed we will go back up to the top of the loop and hit the case <-done: return
there. I suppose it's a matter of style. I probably would have written the return
myself, but the author of this sample may have wanted to avoid handling the same condition in two places. As long as it's just return
it doesn't really matter, but if you wanted to do some additional action on done
, that behavior would have to be updated in two places if the bottom select returns, but only in one place if it doesn't.
QUESTION
I'm learning Golang, and after reading this post on Go's blog, I have the following question.
I start with the following code (from the post):
...ANSWER
Answered 2018-Jan-08 at 17:35If one of the channels is a timeout, odds of your work being done and the timeout firing at exactly the same time are so small they make no sense to consider.
The statement "... It chooses one at random if multiple are ready." is applicable when you actually have a viable reason for this to happen - when you have a select case on multiple job channels that you're processing with a single goroutine, for instance.
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Install concurrency-patterns
You can use concurrency-patterns like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the concurrency-patterns component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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