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

Este código é algo que você pode realmente usar na sua aplicação, salvar os hashes das senhas no seu banco de dados, etc.

Vamos começar de onde paramos no capítulo anterior e incrementá-lo.

## Sobre o JWT

JWT significa "JSON Web Tokens".

É um padrão para codificar um objeto JSON em uma string longa e densa sem espaços. Ele se parece com isso:

```

    assertEquals(20, ticker.read());

    for (TimeUnit timeUnit : TimeUnit.values()) {
      ticker.setAutoIncrementStep(0, timeUnit);
      assertEquals(
          "Expected no auto-increment when setting autoIncrementStep to 0 " + timeUnit,
          30,
          ticker.read());
    }
  }

  public void testAutoIncrement_negative() {
    FakeTicker ticker = new FakeTicker();

    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")

              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;
            }

    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")

///

## Reduce duplication { #reduce-duplication }

Reducing code duplication is one of the core ideas in **FastAPI**.

As code duplication increments the chances of bugs, security issues, code desynchronization issues (when you update in one place but not in the others), etc.

And these models are all sharing a lot of the data and duplicating attribute names and types.

         *
         * @return true if should retry
         */
        public boolean shouldRetry() {
            return retryCount < 3;
        }

        /**
         * Increment retry count and update next retry time
         */
        public void incrementRetry() {
            retryCount++;
            // Exponential backoff: 1s, 2s, 4s

	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)
}