```Python
contents = myfile.file.read()
```

/// note | Detalles Técnicos de `async`

Cuando usas los métodos `async`, **FastAPI** ejecuta los métodos del archivo en un threadpool y los espera.

///

/// note | Detalles Técnicos de Starlette

```Python
contents = myfile.file.read()
```

/// note | `async` Teknik Detaylar

`async` method’ları kullandığınızda, **FastAPI** dosya method’larını bir threadpool içinde çalıştırır ve bunları await eder.

///

/// note | Starlette Teknik Detaylar

@app.get("/items/")
def read_items():
    data = some_blocking_library.fetch_items()
    return data
```

In case of doubt, or by default, use regular `def` functions, those will be run in a threadpool so they don't block the event loop.

The same rules apply to dependencies.

Make sure blocking code is not run inside of `async` functions. The logic will work, but will damage the performance heavily.

            { "aliases", "allocation", "count", "fielddata", "health", "indices", "master", "nodeattrs", "nodes", "pending_tasks",
                    "plugins", "recovery", "repositories", "thread_pool", "shards", "segments", "snapshots", "templates" };

    // ===================================================================================

    // Fesen Client
    //

    /**
     * Gets the thread pool used by the client.
     *
     * @return the thread pool
     */
    @Override
    public ThreadPool threadPool() {
        return client.threadPool();
    }

    /**
     * Gets the admin client for cluster and index administration.
     *
     * @return the admin client
     */
    @Override

common:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
common:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0
common:mkl_threadpool --define=build_with_mkl_opensource=true
common:mkl_threadpool -c opt

# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
# with Eigen threadpool support

 *
 * {@snippet :
 * ListenableFuture<Boolean> adminIsLoggedIn =
 *     FluentFuture.from(usersDatabase.getAdminUser())
 *         .transform(User::getId, directExecutor())
 *         .transform(ActivityService::isLoggedIn, threadPool)
 *         .catching(RpcException.class, e -> false, directExecutor());
 * }
 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *

///

### Функції операції шляху { #path-operation-functions }

Коли ви оголошуєте функцію операції шляху зі звичайним `def` замість `async def`, вона виконується у зовнішньому пулі потоків (threadpool), який потім «очікується», замість прямого виклику (оскільки прямий виклик блокував би сервер).

這裡是有關 FastAPI 內部技術細節。

如果你有相當多的技術背景（例如協程、執行緒、阻塞等），並且對 FastAPI 如何處理 `async def` 與常規 `def` 感到好奇，請繼續閱讀。

///

### 路徑操作函式 { #path-operation-functions }

當你使用 `def` 而不是 `async def` 宣告*路徑操作函式*時，該函式會在外部的執行緒池（threadpool）中執行，然後等待結果，而不是直接呼叫（因為這樣會阻塞伺服器）。

# common

# Default script for the crawler (e.g., groovy).
crawler.default.script=groovy
# Number of threads for HTTP crawling.
crawler.http.thread_pool.size=0
# Serializer type for crawler data (e.g., kryo).
crawler.data.serializer=kryo
# Maximum length of site name in documents.
crawler.document.max.site.length=100
# Encoding for site names in documents.