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Add metadata parsing to be inside mutex to slow down (#8952)
Adding mutex slows down the crawler to avoid large spikes in CPU, also add millisecond interval jitter in calculation of disk usage to slow down the spikes further.
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@ -20,6 +20,7 @@ import (
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"bytes"
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"context"
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"encoding/json"
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"math/rand"
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"os"
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"path/filepath"
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"sync"
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@ -159,13 +160,19 @@ func updateUsage(basePath string, doneCh <-chan struct{}, waitForLowActiveIO fun
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}
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numWorkers := 4
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walkInterval := 1 * time.Millisecond
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var mutex sync.Mutex // Mutex to update dataUsageInfo
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r := rand.New(rand.NewSource(UTCNow().UnixNano()))
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fastWalk(basePath, numWorkers, doneCh, func(path string, typ os.FileMode) error {
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// Wait for I/O to go down.
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waitForLowActiveIO()
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// Randomize sleep intervals, to stagger the walk.
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defer time.Sleep(time.Duration(r.Float64() * float64(walkInterval)))
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bucket, entry := path2BucketObjectWithBasePath(basePath, path)
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if bucket == "" {
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return nil
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@ -183,6 +190,9 @@ func updateUsage(basePath string, doneCh <-chan struct{}, waitForLowActiveIO fun
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return nil
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}
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mutex.Lock()
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defer mutex.Unlock()
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if typ&os.ModeDir != 0 {
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return nil
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}
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@ -192,12 +202,10 @@ func updateUsage(basePath string, doneCh <-chan struct{}, waitForLowActiveIO fun
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return errSkipFile
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}
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mutex.Lock()
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dataUsageInfo.ObjectsCount++
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dataUsageInfo.ObjectsTotalSize += uint64(size)
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dataUsageInfo.BucketsSizes[bucket] += uint64(size)
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dataUsageInfo.ObjectsSizesHistogram[objSizeToHistoInterval(uint64(size))]++
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mutex.Unlock()
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return nil
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})
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