Thread waiter =
        new Thread() {
          @Override
          public void run() {
            try {
              service.awaitTermination(1, DAYS);
            } catch (InterruptedException e) {
              return;
            }
          }
        };
    waiter.start();
    awaitTimedWaiting(waiter);
    service.shutdown();

    waiter2.join();
  }

  public void testRemoveWaiter_polling() throws Exception {
    AbstractFuture<String> future = new AbstractFuture<String>() {};
    WaiterThread waiter = new WaiterThread(future);
    waiter.start();
    waiter.awaitWaiting();
    PollingThread poller = new PollingThread(future);
    poller.start();
    PollingThread poller2 = new PollingThread(future);
    poller2.start();

  // TODO: Test interrupts with both interruptible and uninterruptible monitor.
  // TODO: Test multiple waiters: If guard is still satisfied, signal next waiter.
  // TODO: Test multiple waiters: If guard is no longer satisfied, do not signal next waiter.

package logger_test

import (
	"database/sql/driver"
	"encoding/json"
	"fmt"
	"regexp"
	"strings"
	"testing"

	"github.com/jinzhu/now"
	"gorm.io/gorm/logger"
)

type JSON json.RawMessage

func (j JSON) Value() (driver.Value, error) {
	if len(j) == 0 {
		return nil, nil
	}
	return json.RawMessage(j).MarshalJSON()
}

type ExampleStruct struct {
	Name string
	Val  string
}

A database driver may implement [RowsColumnScanner] to entirely override `Scan` behavior....

ned
skulle
denne
end
dette
mit
også
under
have
dig
anden
hende
mine
alt
meget
sit
sine
vor
mod
disse
hvis
din
nogle
hos
blive
mange
ad
bliver
hendes
været
thi
jer

package tests_test

import (
	"fmt"
	"testing"

	"gorm.io/driver/mysql"
	"gorm.io/gorm"
)

func TestWithSingleConnection(t *testing.T) {
	expectedName := "test"
	var actualName string

	setSQL, getSQL := getSetSQL(DB.Dialector.Name())
	if len(setSQL) == 0 || len(getSQL) == 0 {
		return
	}

	err := DB.Connection(func(tx *gorm.DB) error {
		if err := tx.Exec(setSQL, expectedName).Error; err != nil {
			return err

    waiter2.join();
  }

  public void testRemoveWaiter_polling() throws Exception {
    AbstractFuture<String> future = new AbstractFuture<String>() {};
    WaiterThread waiter = new WaiterThread(future);
    waiter.start();
    waiter.awaitWaiting();
    PollingThread poller = new PollingThread(future);
    poller.start();
    PollingThread poller2 = new PollingThread(future);
    poller2.start();

Se você tiver uma API que faz uma quantidade comparável de cálculos todas as vezes e tiver muitos clientes, então a **utilização da CPU** provavelmente *também será estável* (em vez de ficar constantemente subindo e descendo rapidamente).

### Exemplos de ferramentas e estratégias de replicação

pkg database/sql, method (*DB) SetConnMaxIdleTime(time.Duration)
pkg database/sql, method (*Row) Err() error
pkg database/sql, type DBStats struct, MaxIdleTimeClosed int64
pkg database/sql/driver, type Validator interface { IsValid }
pkg database/sql/driver, type Validator interface, IsValid() bool
pkg debug/pe, const IMAGE_DLLCHARACTERISTICS_APPCONTAINER = 4096
pkg debug/pe, const IMAGE_DLLCHARACTERISTICS_APPCONTAINER ideal-int