VictoriaMetrics/app/vminsert/concurrencylimiter/concurrencylimiter.go

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package concurrencylimiter
import (
"flag"
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"fmt"
"net/http"
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"runtime"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool"
"github.com/VictoriaMetrics/metrics"
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)
var (
maxConcurrentInserts = flag.Int("maxConcurrentInserts", runtime.GOMAXPROCS(-1)*4, "The maximum number of concurrent inserts; see also `-insert.maxQueueDuration`")
maxQueueDuration = flag.Duration("insert.maxQueueDuration", 30*time.Second, "The maximum duration for waiting in the queue for insert requests due to `-maxConcurrentInserts`")
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)
// ch is the channel for limiting concurrent calls to Do.
var ch chan struct{}
// Init initializes concurrencylimiter.
//
// Init must be called after flag.Parse call.
func Init() {
ch = make(chan struct{}, *maxConcurrentInserts)
}
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// Do calls f with the limited concurrency.
func Do(f func() error) error {
// Limit the number of conurrent f calls in order to prevent from excess
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// memory usage and CPU trashing.
select {
case ch <- struct{}{}:
err := f()
<-ch
return err
default:
}
// All the workers are busy.
// Sleep for up to *maxQueueDuration.
concurrencyLimitReached.Inc()
t := timerpool.Get(*maxQueueDuration)
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select {
case ch <- struct{}{}:
timerpool.Put(t)
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err := f()
<-ch
return err
case <-t.C:
timerpool.Put(t)
concurrencyLimitTimeout.Inc()
return &httpserver.ErrorWithStatusCode{
Err: fmt.Errorf("cannot handle more than %d concurrent inserts during %s; possible solutions: "+
"increase `-insert.maxQueueDuration`, increase `-maxConcurrentInserts`, "+
"decrease `-search.maxConcurrentRequests`, increase server capacity", *maxConcurrentInserts, *maxQueueDuration),
StatusCode: http.StatusServiceUnavailable,
}
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}
}
var (
concurrencyLimitReached = metrics.NewCounter(`vm_concurrent_insert_limit_reached_total`)
concurrencyLimitTimeout = metrics.NewCounter(`vm_concurrent_insert_limit_timeout_total`)
_ = metrics.NewGauge(`vm_concurrent_insert_capacity`, func() float64 {
return float64(cap(ch))
})
_ = metrics.NewGauge(`vm_concurrent_insert_current`, func() float64 {
return float64(len(ch))
})
)