* Hiệu năng thực sự ấn tượng. Nó là <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">một trong nhưng framework Python nhanh nhất, khi so sánh với **NodeJS** và **Go**</a>.
* Hỗ trợ **WebSocket**.
* In-process background tasks.
* Startup and shutdown events.
* Client cho kiểm thử xây dựng trên HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.

通过 **FastAPI** 你可以获得所有 **Starlette** 的特性 ( FastAPI 就像加强版的 Starlette )：

* 令人惊叹的性能。它是 <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">Python 可用的最快的框架之一，和 **NodeJS** 及 **Go** 相当</a>。
* **支持 WebSocket** 。
* **支持 GraphQL** 。
* 后台任务处理。
* Startup 和 shutdown 事件。
* 测试客户端基于 HTTPX。
* **CORS**, GZip, 静态文件, 流响应。
* 支持 **Session 和 Cookie** 。
* 100% 测试覆盖率。
* 代码库 100% 类型注释。

    lock02 = factory3.newReentrantLock(OtherOrder.SECOND);
    lock03 = factory3.newReentrantLock(OtherOrder.THIRD);
  }

  // In the unittest, create each ordered factory with its own set of lock
  // graph nodes (as opposed to using the static per-Enum map) to avoid
  // conflicts across different test runs.
  private <E extends Enum<E>>
      CycleDetectingLockFactory.WithExplicitOrdering<E> newInstanceWithExplicitOrdering(

    lock02 = factory3.newReentrantLock(OtherOrder.SECOND);
    lock03 = factory3.newReentrantLock(OtherOrder.THIRD);
  }

  // In the unittest, create each ordered factory with its own set of lock
  // graph nodes (as opposed to using the static per-Enum map) to avoid
  // conflicts across different test runs.
  private <E extends Enum<E>>
      CycleDetectingLockFactory.WithExplicitOrdering<E> newInstanceWithExplicitOrdering(

import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.es.client.SearchEngineClient;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.action.admin.cluster.node.stats.NodesStatsResponse;
import org.opensearch.common.xcontent.XContentFactory;
import org.opensearch.core.xcontent.ToXContent;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.monitor.jvm.JvmStats;

Just keep in mind that when you read "server" in general, it could refer to one of those two things.

When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.

## Install the Server Program

			r.URL.Scheme = "http"
			if globalIsTLS {
				r.URL.Scheme = "https"
			}
			r.URL.Host = getHostFromSrv(sr)
			// Make sure we remove any existing headers before
			// proxying the request to another node.
			for k := range w.Header() {
				w.Header().Del(k)
			}
			globalForwarder.ServeHTTP(w, r)
			return
		}
		h.ServeHTTP(w, r)
	})
}

* Desempeño realmente impresionante. Es uno <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank"> de los frameworks de Python más rápidos, a la par con **NodeJS** y **Go**</a>.
* Soporte para **WebSocket**.
* <abbr title="En español: tareas que se ejecutan en el fondo, sin frenar requests, en el mismo proceso. En ingles: In-process background tasks">Tareas en background</abbr>.

}

const (
	// WorkerMaxLimit max number of workers per node for "fast" mode
	WorkerMaxLimit = 500

	// WorkerMinLimit min number of workers per node for "slow" mode
	WorkerMinLimit = 50

	// WorkerAutoDefault is default number of workers for "auto" mode
	WorkerAutoDefault = 100

	// MRFWorkerMaxLimit max number of mrf workers per node for "fast" mode
	MRFWorkerMaxLimit = 8

	default:
		// TODO: traverse arguments and call aggregateRow on
		// them if they could be an ancestor of an
		// aggregation.
	}
	return nil
}

// getAggregate() implementation for each AST node follows. This is
// called after calling aggregateRow() on each input row, to calculate
// the final aggregate result.

func (e *FuncExpr) getAggregate() (*Value, error) {
	switch e.getFunctionName() {