Das ist auch bei den meisten Webanwendungen der Fall.

Viele, viele Benutzer, aber Ihr Server wartet 🕙 darauf, dass deren nicht so gute Internetverbindungen die Requests übermitteln.

Und dann warten 🕙, bis die Responses zurückkommen.

Dieses „Warten“ 🕙 wird in Mikrosekunden gemessen, aber zusammenfassend lässt sich sagen, dass am Ende eine Menge gewartet wird.

	}
}

// proxyTaggingToRepTarget proxies tagging requests to remote targets for
// active-active replicated setups
func proxyTaggingToRepTarget(ctx context.Context, bucket, object string, tags *tags.Tags, opts ObjectOptions, proxyTargets *madmin.BucketTargets) (proxy proxyResult) {
	// this option is set when active-active replication is in place between site A -> B,
	// and request hits site B that does not have the object yet.

This is the case for most of the web applications.

Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.

And then waiting 🕙 again for the responses to come back.

This "waiting" 🕙 is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.

* DELETE requests can now pass in their DeleteOptions as a query parameter or a body parameter, rather than just as a body parameter. ([#35806](https://github.com/kubernetes/kubernetes/pull/35806), [@bdbauer](https://github.com/bdbauer))

# `Request` class

You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

/// tip

我们将`SessionLocal()`请求的创建和处理放在一个`try`块中。

然后我们在finally块中关闭它。

通过这种方式，我们确保数据库会话在请求后始终关闭，即使在处理请求时出现异常也会关闭。

///

### 关于`request.state`

`request.state`是每个`Request`对象的属性。它用于存储附加到请求本身的任意对象，例如本例中的数据库会话。您可以在[Starlette 的关于`Request`state](https://www.starlette.io/requests/#other-state)的文档中了解更多信息。

对于这种情况下，它帮助我们确保在整个请求中使用单个数据库会话，然后关闭（在中间件中）。

### 使用`yield`依赖项与使用中间件的区别

在此处添加**中间件**与`yield`的依赖项的作用效果类似，但也有一些区别：

addition, we’ve introduced a new “soft” kind of node selector that is just a
hint to the scheduler; the scheduler will try to satisfy these requests but it
does not guarantee they will be satisfied. Both the “hard” and “soft” variants

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.request;

import org.codelibs.fess.suggest.concurrent.Deferred;
import org.codelibs.fess.suggest.exception.SuggesterException;
import org.opensearch.client.Client;
import org.opensearch.core.common.Strings;

public abstract class Request<T extends Response> {
    public Deferred<T>.Promise execute(final Client client) {

* Downward API implementation for resources limits and requests ([#24179](https://github.com/kubernetes/kubernetes/pull/24179), [@aveshagarwal](https://github.com/aveshagarwal))

 */
package jcifs.internal;


import jcifs.CIFSContext;


/**
 * @author mbechler
 * @param <T>
 *            response type
 *
 */
public interface Request <T extends CommonServerMessageBlockResponse> extends CommonServerMessageBlockRequest {

    /**
     * 
     * @param tc
     * @return the initialized response
     * @internal
     */