priority:        priority,
		maxWorkers:      maxWorkers,
		maxLWorkers:     maxLWorkers,
	}

	pool.ResizeLrgWorkers(maxLWorkers, 0)
	pool.ResizeWorkers(workers, 0)
	pool.ResizeFailedWorkers(failedWorkers)
	go pool.resyncer.PersistToDisk(ctx, o)
	go pool.processMRF()
	go pool.persistMRF()
	return pool
}

// AddMRFWorker adds a pending/failed replication worker to handle requests that could not be queued

 * <li>{@link #analyzer} - Suggest analyzer.
 * <li>{@link #contentsParser} - Contents parser.
 * <li>{@link #suggestWriter} - Suggest writer.
 * <li>{@link #threadPool} - Executor service for thread pool.
 * </ul>
 */
public class SuggestIndexer {
    private final static Logger logger = LogManager.getLogger(SuggestIndexer.class);

    /** The suggest analyzer. */
    protected SuggestAnalyzer analyzer;

{* ../../docs_src/request_files/tutorial001_an_py39.py hl[14] *}

Usar `UploadFile` tiene varias ventajas sobre `bytes`:

* No tienes que usar `File()` en el valor por defecto del parámetro.
* Usa un archivo "spooled":
    * Un archivo almacenado en memoria hasta un límite de tamaño máximo, y después de superar este límite, se almacenará en el disco.

这种方式把文件的所有内容都存储在内存里，适用于小型文件。

不过，很多情况下，`UploadFile` 更好用。

## 含 `UploadFile` 的文件参数

定义文件参数时使用 `UploadFile`：

{* ../../docs_src/request_files/tutorial001.py hl[12] *}

`UploadFile` 与 `bytes` 相比有更多优势：

* 使用 `spooled` 文件：
    * 存储在内存的文件超出最大上限时，FastAPI 会把文件存入磁盘；
* 这种方式更适于处理图像、视频、二进制文件等大型文件，好处是不会占用所有内存；
* 可获取上传文件的元数据；

 * of crawled documents into the search engine.
 *
 * <p>The DataIndexHelper supports:</p>
 * <ul>
 *   <li>Concurrent crawling of multiple data configurations</li>
 *   <li>Thread pool management for crawler execution</li>
 *   <li>Session-based crawling with cleanup operations</li>
 *   <li>Old document deletion after successful crawling</li>
 *   <li>Crawling execution monitoring and timing</li>
 * </ul>

package pubsub

import (
	"bytes"
	"encoding/json"
	"fmt"
	"sync"
	"sync/atomic"
)

// GetByteBuffer returns a byte buffer from the pool.
var GetByteBuffer = func() []byte {
	return make([]byte, 0, 4096)
}

// Sub - subscriber entity.
type Sub[T Maskable] struct {
	ch     chan T
	types  Mask
	filter func(entry T) bool
}

 *
 * Typically instances of this class are created, connected and exercised automatically by the HTTP
 * client. Applications may use this class to monitor HTTP connections as members of a
 * [connection pool][ConnectionPool].
 *
 * Do not confuse this class with the misnamed `HttpURLConnection`, which isn't so much a connection
 * as a single request/response exchange.
 *
 * ## Modern TLS
 *

	g := errgroup.WithNErrs(len(disks))
	for index := range disks {
		g.Go(func() error {
			di := madmin.Disk{
				Endpoint:  endpoints[index].String(),
				PoolIndex: endpoints[index].PoolIdx,
				SetIndex:  endpoints[index].SetIdx,
				DiskIndex: endpoints[index].DiskIdx,
				Local:     endpoints[index].IsLocal,
			}
			if disks[index] == OfflineDisk {
				di.State = diskErrToDriveState(errDiskNotFound)

          // We have a connected TCP connection. Cancel and defer the racing connects that all lost.
          cancelInFlightConnects()

          // Finish connecting. We won't have to if the winner is from the connection pool.
          if (!connectResult.plan.isReady) {
            connectResult = connectResult.plan.connectTlsEtc()
          }

          if (connectResult.isSuccess) {
            return connectResult.plan.handleSuccess()

			// complete in total time of 10s.
			if globalEndpoints.NEndpoints() < concurrency {
				concurrency = globalEndpoints.NEndpoints()
			}

			// Check if we have local disks per pool less than
			// the concurrency make sure we choose only the "start"
			// concurrency to be equal to the lowest number of
			// local disks per server.
			for _, localDiskCount := range globalEndpoints.NLocalDisksPathsPerPool() {