public static final String SERVER = "Server";

  /**
   * The HTTP <a href="https://www.w3.org/TR/server-timing/">{@code Server-Timing}</a> header field
   * name.
   *
   * @since 23.6
   */
  public static final String SERVER_TIMING = "Server-Timing";

  /**
   * The HTTP <a href="https://www.w3.org/TR/service-workers/#update-algorithm">{@code

这类似于：

```Python
if not (credentials.username == "stanleyjobson") or not (credentials.password == "swordfish"):
    # Return some error
    ...
```

但使用 `secrets.compare_digest()`，可以防御**时差攻击**，更加安全。

### 时差攻击 { #timing-attacks }

什么是**时差攻击**？

假设攻击者试图猜出用户名与密码。

他们发送用户名为 `johndoe`，密码为 `love123` 的请求。

然后，Python 代码执行如下操作：

```Python
if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
    ...
```

這大致等同於：

```Python
if not (credentials.username == "stanleyjobson") or not (credentials.password == "swordfish"):
    # 回傳錯誤
    ...
```

但藉由使用 `secrets.compare_digest()`，可以防禦一種稱為「計時攻擊」的攻擊。

### 計時攻擊 { #timing-attacks }

什麼是「計時攻擊」呢？

想像有攻擊者在嘗試猜測使用者名稱與密碼。

他們送出一個帶有使用者名稱 `johndoe` 與密碼 `love123` 的請求。

接著，你的應用程式中的 Python 程式碼等同於：

```Python
if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
    ...

        // Check for leaks
        resourceManager.checkForLeaks();

        Map<String, Object> stats = resourceManager.getStatistics();
        // The leak counter may or may not increment depending on GC timing
        assertNotNull(stats.get("totalLeaks"));
    }

    private void createLeakyResource() {
        TestResource resource = new TestResource("leaky");
        resourceManager.registerResource(resource);

            }
        }, CrawlingInfoService.class.getCanonicalName());

        crawlingInfoHelper.updateParams(sessionId, "Test Crawl", 5);

        // Verify documentExpires is set (don't check exact timing due to test environment timing issues)
        assertTrue("documentExpires should be set", crawlingInfoHelper.documentExpires > 0);
    }

    @Test
    public void test_updateParams_defaultName() {

 *   <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>
 */
public class DataIndexHelper {

    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(DataIndexHelper.class);

            activeThreads--
            startNextTask()
          }
        }
      }
    }
  }

  /**
   * This blocking queue hooks into a fake clock rather than using regular JVM timing for functions
   * like [poll]. It is only usable within task faker tasks.
   */
  private inner class TaskFakerBlockingQueue<T>(
    val delegate: BlockingQueue<T>,
  ) : AbstractQueue<T>(),
    BlockingQueue<T> {

            final byte[] cmp = new byte[SIGNATURE_LENGTH];
            System.arraycopy(mac.doFinal(), 0, cmp, 0, SIGNATURE_LENGTH);

            // Use constant-time comparison to prevent timing attacks
            if (!MessageDigest.isEqual(sig, cmp)) {
                return false; // Signature verification failed
            }
            return true; // Signature verification succeeded
        } finally {

import jakarta.annotation.PreDestroy;

/**
 * Helper class for managing crawler statistics and performance metrics.
 * This class provides functionality to track, record, and report statistics
 * about crawler operations including timing data, performance metrics, and
 * operational events. It uses an internal cache to maintain statistics
 * objects and provides methods to begin tracking, record events, and
 * finalize statistics collection.
 *
 */

/**
 * Data container for search results rendering.
 *
 * This class holds all the data needed to render search results in the UI,
 * including the actual search results, pagination information, facet data,
 * execution timing, and highlighting parameters.
 */
public class SearchRenderData {

    /** List of search result documents. */
    protected List<Map<String, Object>> documentItems;