You can use it like this:

{* ../../docs_src/schema_extra_example/tutorial005_an_py310.py hl[23:49] *}

### OpenAPI Examples in the Docs UI { #openapi-examples-in-the-docs-ui }

With `openapi_examples` added to `Body()` the `/docs` would look like:

<img src="/img/tutorial/body-fields/image02.png">

## Technical Details { #technical-details }

		}
	}

	count, err := gorm.G[User](DB).Where("name like ?", "GenericsCreateInBatches%").Count(ctx, "*")
	if err != nil {
		t.Fatalf("Count failed: %v", err)
	}
	if count != 3 {
		t.Errorf("expected 3 records, got %d", count)
	}

	found, err := gorm.G[User](DB).Raw("SELECT * FROM users WHERE name LIKE ?", "GenericsCreateInBatches%").Find(ctx)
	if len(found) != len(batch) {

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

<abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr>

If you are using third party libraries that tell you to call them with `await`, like:

```Python
results = await some_library()
```

Then, declare your *path operation functions* with `async def` like:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

is not about just retrofitting monolithic applications onto modern container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever.

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage...

    NetbiosAddress getNbtByName(String host, int type, String scope) throws UnknownHostException;

    /**
     * Determines the address of a host given it's host name. The name can be a NetBIOS name like
     * "freto" or an IP address like "192.168.1.15". It cannot be a DNS name;
     * the analygous {@link jcifs.netbios.UniAddress} or {@link java.net.InetAddress}
     * <code>getByName</code> methods can be used for that.
     *

			}, clause.Where{
				Exprs: []clause.Expression{clause.Or(clause.Gt{Column: "score", Value: 100}, clause.Like{Column: "name", Value: "%linus%"})},
			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? AND `age` > ? OR `name` <> ? AND (`score` > ? OR `name` LIKE ?)",
			[]interface{}{"1", 18, "jinzhu", 100, "%linus%"},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Where{

{* ../../docs_src/websockets/tutorial003_py39.py hl[79:81] *}

To try it out:

* Open the app with several browser tabs.
* Write messages from them.
* Then close one of the tabs.

That will raise the `WebSocketDisconnect` exception, and all the other clients will receive a message like:

```
Client #1596980209979 left the chat
```

which generates classes corresponding your tables,
for example, entities, condition-beans to specified
directories by DBFlute properties on "dfprop" directory.

Generated structures (directories and classes) are like this:
/- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
allcommon : classes bridging to DBFlute Runtime
bsbhv     : base behaviors
bsentity  : base entities
cbean     : condition-beans (both base and extended)

`secrets.compare_digest()` needs to take `bytes` or a `str` that only contains ASCII characters (the ones in English), this means it wouldn't work with characters like `á`, as in `Sebastián`.

To handle that, we first convert the `username` and `password` to `bytes` encoding them with UTF-8.