return
					}
					stopFn(oi, err)
					batchLogIf(ctx, err)
					success = false
				} else {
					stopFn(oi, nil)
				}
				ri.trackCurrentBucketObject(r.Target.Bucket, oi, success)
				globalBatchJobsMetrics.save(job.ID, ri)
				// persist in-memory state to disk after every 10secs.
				batchLogIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job))

				batchLogIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job))

			case <-ctx.Done():
				// persist in-memory state immediately before exiting due to context cancellation.
				batchLogIf(ctx, ri.updateAfter(ctx, api, 0, job))
				return

			case <-saverQuitCh:
				// persist in-memory state immediately to disk.
				batchLogIf(ctx, ri.updateAfter(ctx, api, 0, job))
				return

					stopFn(result, err)
					batchLogIf(ctx, err)
					success = false
				} else {
					stopFn(result, nil)
				}
				ri.trackCurrentBucketObject(r.Bucket, result, success)
				ri.RetryAttempts = 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 {

	logger.Event(ctx, "healing", msg, args...)
}

func healingLogOnceIf(ctx context.Context, err error, errKind ...interface{}) {
	logger.LogIf(ctx, "healing", err, errKind...)
}

func batchLogIf(ctx context.Context, err error, errKind ...interface{}) {
	logger.LogIf(ctx, "batch", err, errKind...)
}

func batchLogOnceIf(ctx context.Context, err error, id string, errKind ...interface{}) {