globalBatchJobsMetrics.save(job.ID, ri)
				// persist in-memory state to disk after every 10secs.
				batchLogOnceIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job), job.ID+"updateAfter2")

				if wait := globalBatchConfig.ReplicationWait(); wait > 0 {
					time.Sleep(wait)
				}
			}()
		}
		wk.Wait()

				}
				ri.trackCurrentBucketObject(r.Bucket, result, success, attempts)
				globalBatchJobsMetrics.save(job.ID, ri)
				// persist in-memory state to disk after every 10secs.
				batchLogIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job))
				if success {
					break
				}
				if delay > 0 {
					time.Sleep(delay + time.Duration(rnd.Float64()*float64(delay)))
				}
			}

	}
	if failed {
		pd.ItemsDecommissionFailed++
		pd.BytesFailed += size
	} else {
		pd.ItemsDecommissioned++
		pd.BytesDone += size
	}
	p.Pools[idx].Decommission = pd
}

func (p *poolMeta) updateAfter(ctx context.Context, idx int, pools []*erasureSets, duration time.Duration) (bool, error) {
	if p.Pools[idx].Decommission == nil {
		return false, errInvalidArgument
	}
	now := UTCNow()

			}

			if quit {
				// save immediately if we are quitting
				after = 0
			}

			ctx, cancel := context.WithTimeout(GlobalContext, 30*time.Second) // independent context
			batchLogIf(ctx, ri.updateAfter(ctx, api, after, job))
			cancel()
		}
	}()

	expireCh := make(chan []expireObjInfo, workerSize)
	expireDoneCh := make(chan struct{})
	go func() {
		defer close(expireDoneCh)