sm.ActiveWorkers.Max += peer.ActiveWorkers.Max
		}
		sm.Queued.Avg.Bytes += peer.Queued.Avg.Bytes
		sm.Queued.Avg.Count += peer.Queued.Avg.Count
		sm.Queued.Curr.Bytes += peer.Queued.Curr.Bytes
		sm.Queued.Curr.Count += peer.Queued.Curr.Count
		if peer.Queued.Max.Count > sm.Queued.Max.Count {
			sm.Queued.Max.Bytes = peer.Queued.Max.Bytes
			sm.Queued.Max.Count = peer.Queued.Max.Count
		}
		sm.ReplicaCount += peer.ReplicaCount

        }
    }

    /**
     * Stores a failure URL with error information for later analysis.
     *
     * @param crawlerContext the crawler context
     * @param urlQueue the URL queue containing the failed URL
     * @param errorName the name/type of the error
     * @param e the throwable that caused the failure
     * @return the stored FailureUrl entity
     */

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

///

---

Imaginez que vous êtes l'ordinateur / le programme 🤖 dans cette histoire.

Pendant que vous faites la queue, vous être simplement inactif 😴, attendant votre tour, ne faisant rien de "productif". Mais la queue est rapide car le serveur 💁 prend seulement les commandes (et ne les prépare pas), donc tout va bien.

        pager.setExistNextPage(false);
        pager.setExistPrePage(false);
        pager.setPageSize(pager.getPageSize());
    }

    /**
     * Creates search conditions for search log queries based on pager criteria.
     *
     * @param pager The search log pager containing filter criteria
     * @param cb The search log condition bean to configure
     */

import java.util.Iterator;
import java.util.List;
import java.util.ListIterator;
import java.util.Locale;
import java.util.Map;
import java.util.NavigableMap;
import java.util.NavigableSet;
import java.util.Queue;
import java.util.Random;
import java.util.Set;
import java.util.SortedMap;
import java.util.SortedSet;
import java.util.UUID;
import java.util.concurrent.BlockingDeque;

    // contract.
    // This is somewhat annoying, but turns out to be very fast in practice. Alternatively, we could
    // drop the contract on the method that enforces this queue like behavior since depending on it
    // is likely to be a bug anyway.

    // N.B. All writes to the list and the next pointers must have happened before the above

a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media *([^\{]+)\{([\S\s]+?)$/,only...

   * is used to calculate this value. It also doesn't include any bytes buffered by the operating
   * system or network intermediaries. This method returns 0 if no messages are waiting in the
   * queue. If may return a nonzero value after the web socket has been canceled; this indicates
   * that enqueued messages were not transmitted.
   */
  fun queueSize(): Long

  /**

En esta sección veremos cómo usar otros middlewares.

## Agregando middlewares ASGI

Como **FastAPI** está basado en Starlette e implementa la especificación <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>, puedes usar cualquier middleware ASGI.

Un middleware no tiene que estar hecho para FastAPI o Starlette para funcionar, siempre que siga la especificación ASGI.