php editor Youzi reminds you that using Sync Map may lead to an increase in RAM and goroutine. Sync Map is a library in Go language used to implement concurrency-safe mapping data structures. Although it provides efficient performance when handling concurrent reads and writes, using Sync Map may lead to an increase in memory usage and the number of goroutines when processing large-scale data. Therefore, when using Sync Map, you need to weigh the balance between usage and performance based on specific business scenarios and needs to ensure the stability and efficiency of the system.
Question content
Hello, this is the code where I call util a collector
import ( "context" "errors" "sync" "time" ) type Collector struct { keyValMap *sync.Map } func (c *Collector) LoadOrWait(key any) (retValue any, availability int, err error) { value, status := c.getStatusAndValue(key) switch status { case 0: return nil, 0, nil case 1: return value, 1, nil case 2: ctxWithTimeout, _ := context.WithTimeout(context.Background(), 5 * time.Second) for { select { case <-ctxWithTimeout.Done(): return nil, 0, errRequestTimeout default: value, resourceStatus := c.getStatusAndValue(key) if resourceStatus == 1 { return value, 1, nil } time.Sleep(50 * time.Millisecond) } } } return nil, 0, errRequestTimeout } // Store ... func (c *Collector) Store(key any, value any) { c.keyValMap.Store(key, value) } func (c *Collector) getStatusAndValue(key any) (retValue any, availability int) { var empty any result, loaded := c.keyValMap.LoadOrStore(key, empty) if loaded && result != empty { return result, 1 } if loaded && result == empty { return empty, 2 } return nil, 0 }
So the purpose of this utility is to act as a cache where similar values are loaded only once but read multiple times. However, when the collector's object is passed to multiple goroutines, I face increased gorotine and ram usage whenever multiple goroutines try to use the collector cache. Can someone explain if this usage of synchronized maps is correct. If yes, then what may be the reason for the high number of goroutines/high memory usage
Solution
Of course, since the cancellation function of the newly created ctxwithtimeout
context is not called , you may face memory leaks. To resolve this issue, change the line to:
ctxWithTimeout, cancelFunc := context.WithTimeout(context.Background(), requestTimeout) defer cancelFunc()
So you can always clear all allocated resources once the context expires. This should resolve the leak.
Regarding the usage of sync.map
it seems fine to me.
If this solves your problem or there are other issues that need to be solved, please let me know, thank you!
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