mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce
mapreduce.reduce.shuffle.input.buffer.percent=0.9 # Min % buffer in RAM
mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

)

// map of subsystem to deleted keys
var deletedSubSysKeys = map[string][]string{
	APISubSys: {apiReplicationWorkers, apiReplicationFailedWorkers},
	// Add future sub-system deleted keys
}

// Merge - merges a new config with all the
// missing values for default configs,
// returns a config.
func (c Config) Merge() Config {
	cp := New()
	for subSys, tgtKV := range c {
		for tgt := range tgtKV {

		l.Totals[idx] = AccElem{}
		l.LastSec++
	}
}

// LastMinuteHistogram keeps track of last minute sizes added.
type LastMinuteHistogram [sizeLastElemMarker]lastMinuteLatency

// Merge safely merges two LastMinuteHistogram structures into one
func (l LastMinuteHistogram) Merge(o LastMinuteHistogram) (merged LastMinuteHistogram) {
	for i := range l {
		merged[i] = l[i].merge(o[i])
	}
	return merged
}

      - opened

jobs:
  add-to-project:
    name: Add issue to project
    runs-on: ubuntu-latest
    steps:
      - uses: actions/add-to-project@v0.5.0
        with:
          project-url: https://github.com/orgs/miniohq/projects/2

streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.

github.com/cheggaaa/pb v1.0.29/go.mod h1:W40334L7FMC5JKWldsTWbdGjLo0RxUKK73K+TuPxX30=
github.com/chromedp/cdproto v0.0.0-20230802225258-3cf4e6d46a89/go.mod h1:GKljq0VrfU4D5yc+2qA6OVr8pmO/MBbPEWqWQ/oqGEs=
github.com/chromedp/chromedp v0.9.2/go.mod h1:LkSXJKONWTCHAfQasKFUZI+mxqS4tZqhmtGzzhLsnLs=
github.com/chromedp/sysutil v1.0.0/go.mod h1:kgWmDdq8fTzXYcKIBqIYvRRTnYb9aNS9moAV0xufSww=

		if err != nil {
			return wrapSRErr(err)
		}
		return nil
	}

	return nil
}

// PeerBucketMetadataUpdateHandler - merges the bucket metadata, save and ping other nodes
func (c *SiteReplicationSys) PeerBucketMetadataUpdateHandler(ctx context.Context, item madmin.SRBucketMeta) error {
	objectAPI := newObjectLayerFn()
	if objectAPI == nil {

	for _, v := range policy.DefaultPolicies {
		if _, ok := policies[v.Name]; !ok {
			policies[v.Name] = defaultPolicyDoc(v.Definition)
		}
	}
}

// PurgeExpiredSTS - purges expired STS credentials.
func (store *IAMStoreSys) PurgeExpiredSTS(ctx context.Context) error {
	iamOS, ok := store.IAMStorageAPI.(*IAMObjectStore)
	if !ok {
		// No purging is done for non-object storage.
		return nil

		for i := range cpus {
			cpuMap[cpus[i].PhysicalID] = struct{}{}
			coreMap[cpus[i].CoreID] = struct{}{}
		}
		cpu := cpus[0]
		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
	}
	uaAppend(")", "")

`max_sleep` to a *lower* value and setting `max_io` to a *higher* value would make heal go faster.

Each node is responsible of healing its local drives; Each drive will have multiple heal workers which is the quarter of the number of CPU cores of the node or the quarter of the configured nr_requests of the drive (https://www.kernel.org/doc/Documentation/block/queue-sysfs.txt). It is also possible to provide a custom number of workers by using this command: `mc admin config set alias/ heal...