if !insertOk {
			if !supportReturning {
				db.AddError(err)
			}
			return
		}

		// append @id column with value for auto-increment primary key
		// the @id value is correct, when: 1. without setting auto-increment primary key, 2. database AutoIncrementIncrement = 1
		switch values := db.Statement.Dest.(type) {
		case map[string]interface{}:
			values[pkFieldName] = insertID

    log_id bigint NOT NULL
);

ALTER TABLE public.log_usage ALTER COLUMN log_id ADD GENERATED BY DEFAULT AS IDENTITY (
    SEQUENCE NAME public.log_usage_log_id_seq
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1
);
	`).Error; err != nil {
		t.Fatalf("failed to create table, got error %v", err)
	}

	columns, err := DB.Migrator().ColumnTypes("log_usage")

		m.expMovingAvg = float64(bytesSinceLastWindow) / duration.Seconds()
		return
	}

	increment := float64(bytesSinceLastWindow) / duration.Seconds()
	m.expMovingAvg = exponentialMovingAverage(beta, m.expMovingAvg, increment)
}

// exponentialMovingAverage calculates the exponential moving average
func exponentialMovingAverage(beta, previousAvg, incrementAvg float64) float64 {

// Input should be root -> object input. Each root indicates a record.
// If r.input is closed, it is assumed that no more input will come.
// When this function returns r.readerWg will be decremented and r.decoded will be closed.
// On errors, r.err will be set. This should only be accessed after r.decoded has been closed.
func (r *Reader) startReader() {
	defer r.onReaderExit()
	var tmpObj simdjson.Object
	for {

	startTime := time.Now()
	return func() {
		duration := time.Since(startTime)

		atomic.AddUint64(&o.operations[s], 1)
		o.latency[s].add(duration)
	}
}

// incTime will increment time on metric s with a specific duration.
func (o *osMetrics) incTime(s osMetric, d time.Duration) {
	atomic.AddUint64(&o.operations[s], 1)
	o.latency[s].add(d)
}

 * the response, the client will issue a conditional `GET`. The server will then send either
 * the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable

              if (workerRunningState == RUNNING) {
                // Don't want to have two workers pulling from the queue.
                return;
              } else {
                // Increment the run counter to avoid the ABA problem of a submitter marking the
                // thread as QUEUED after it already ran and exhausted the queue before returning
                // from execute().

                // drop without counting towards preserved problems
                return false;
            }
            int currentCount = totalCount.incrementAndGet();
            getCounter(problem.getSeverity()).increment();
            if (currentCount <= maxCountLimit || dropProblemWithLowerSeverity(problem.getSeverity())) {
                getProblems(problem.getSeverity()).add(problem);
                return true;
            }

              if (workerRunningState == RUNNING) {
                // Don't want to have two workers pulling from the queue.
                return;
              } else {
                // Increment the run counter to avoid the ABA problem of a submitter marking the
                // thread as QUEUED after it already ran and exhausted the queue before returning
                // from execute().

		duration := time.Since(startTime)

		atomic.AddUint64(&p.operations[s], 1)
		if s < scannerMetricLastRealtime {
			p.latency[s].addSize(duration, int64(sz))
		}
	}
}

// incTime will increment time on metric s with a specific duration.
// Use for s < scannerMetricLastRealtime
func (p *scannerMetrics) incTime(s scannerMetric, d time.Duration) {
	atomic.AddUint64(&p.operations[s], 1)