* ローカル開発環境向けの**Docker Compose**インテグレーションと最適化。
* UvicornとGunicornを使用した**リリース可能な** Python web サーバ。
* Python <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">**FastAPI**</a> バックエンド:
    * **高速**: **NodeJS** や **Go** 並みのとても高いパフォーマンス (Starlette と Pydantic のおかげ)。
    * **直感的**: 素晴らしいエディタのサポートや <abbr title="自動補完、インテリセンスとも呼ばれる">補完。</abbr> デバッグ時間の短縮。
    * **簡単**: 簡単に利用、習得できるようなデザイン。ドキュメントを読む時間を削減。
    * **短い**: コードの重複を最小限に。パラメータ宣言による複数の機能。

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;

    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(

			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>.

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

}

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

            }
            dr.pathConsumed = consumed;
        }
        else {
            if ( log.isDebugEnabled() ) {
                log.debug("Node " + ref.getNode() + " path " + reqPath + " remain " + reqPath.substring(consumed) + " path consumed " + consumed);
            }
            dfsPathSplit(ref.getNode(), arr);
            dr.server = arr[ 1 ];

	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() {