}
	_, err = api.CompleteMultipartUpload(ctx, tgtBucket, tgtObject, res.UploadID, uploadedParts, opts)
	return err
}

// StartFromSource starts the batch replication job from remote source, resumes if there was a pending job via "job.ID"
func (r *BatchJobReplicateV1) StartFromSource(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),

    return editor
  }

  /**
   * Returns the number of bytes currently being used to store the values in this cache. This may be
   * greater than the max size if a background deletion is pending.
   */
  @Synchronized
  @Throws(IOException::class)
  fun size(): Long {
    initialize()
    return size
  }

  @Synchronized
  @Throws(IOException::class)
  internal fun completeEdit(

      InCompletionOrderState<T> localState = state;
      if (super.cancel(interruptIfRunning)) {
        /*
         * requireNonNull is generally safe: If cancel succeeded, then this Future was still
         * pending, so its `state` field hasn't been nulled out yet.
         *
         * OK, it's technically possible for this to fail in the presence of unsafe publishing, as

  }

  @GwtIncompatible // QueuingRemovalListener
  public void testRemovalNotification_clear() throws InterruptedException {
    // If a clear() happens while a computation is pending, we should not get a removal
    // notification.

    final AtomicBoolean shouldWait = new AtomicBoolean(false);
    final CountDownLatch computingLatch = new CountDownLatch(1);

 *       (However, cancellation can prevent an <i>unstarted</i> task from running.) Therefore, the
 *       next task will wait for any running callable (or pending {@code Future} returned by an
 *       {@code AsyncCallable}) to complete, without interrupting it (and without calling {@code
 *       cancel} on the {@code Future}). So beware: <i>Even if you cancel every preceding {@code

					time.Sleep(delay)
				}
			}
		}(toExpire)
	}
}

type expireObjInfo struct {
	ObjectInfo
	ExpireAll bool
}

// Start the batch expiration job, resumes if there was a pending job via "job.ID"
func (r *BatchJobExpire) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),
		StartTime: job.Started,

//
// They are consumed by the kube-scheduler when a CSI driver opts into
// capacity-aware scheduling with CSIDriverSpec.StorageCapacity. The scheduler
// compares the MaximumVolumeSize against the requested size of pending volumes
// to filter out unsuitable nodes. If MaximumVolumeSize is unset, it falls back
// to a comparison against the less precise Capacity. If that is also unset,

  // The completion time is only set when the job finishes successfully.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time completionTime = 3;

  // The number of pending and running pods.
  // +optional
  optional int32 active = 4;

  // The number of pods which reached phase Succeeded.
  // +optional
  optional int32 succeeded = 5;

    @Override
    public void notifyNewValue(@CheckForNull V newValue) {
      if (newValue != null) {
        // The pending load was clobbered by a manual write.
        // Unblock all pending gets, and have them return the new value.
        set(newValue);
      } else {
        // The pending load was removed. Delay notifications until loading completes.
        oldValue = unset();
      }

//
// They are consumed by the kube-scheduler when a CSI driver opts into
// capacity-aware scheduling with CSIDriverSpec.StorageCapacity. The scheduler
// compares the MaximumVolumeSize against the requested size of pending volumes
// to filter out unsuitable nodes. If MaximumVolumeSize is unset, it falls back
// to a comparison against the less precise Capacity. If that is also unset,