exclusiveMaximum: false
            default: 20
            example: 20
        - name: sort
          in: query
          description: Sorted field name
          required: false
          schema:
            type: string
            example: score
        - name: fields.label
          in: query
          description: Filtered label name
          required: false
          style: form
          explode: true

</div>

## Forbid Extra Headers

In some special use cases (probably not very common), you might want to **restrict** the headers that you want to receive.

You can use Pydantic's model configuration to `forbid` any `extra` fields:

//// tab | Python 3.10+

```Python hl_lines="10"
{!> ../../docs_src/header_param_models/tutorial002_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="10"

                    ), "An additional response must be a dict"
                    field = route.response_fields.get(additional_status_code)
                    additional_field_schema: Optional[Dict[str, Any]] = None
                    if field:
                        additional_field_schema = get_schema_from_model_field(
                            field=field,
                            schema_generator=schema_generator,

                return docMap;
            }
            final Map<String, DocumentField> fields = hit.getFields();
            if (fields != null) {
                final Map<String, Object> docMap = fields.entrySet().stream()
                        .collect(Collectors.toMap(Entry<String, DocumentField>::getKey, e -> (Object) e.getValue().getValues()));

        }
    }

    @Test
    public void searchTestWithWildcard() throws Exception {
        String field = "filetype";
        String query = "others";
        String wcQuery1 = "othe*";
        String wcQuery2 = "oth??s";
        Map<String, String> params = new HashMap<>();
        params.put("q", field + ":" + query);
        params.put("num", "100");

Mehr erfahren Sie am Ende dieser Seite.

///

## Zusätzliche Argumente für `Field`

Wenn Sie `Field()` mit Pydantic-Modellen verwenden, können Sie ebenfalls zusätzliche `examples` deklarieren:

//// tab | Python 3.10+

```Python hl_lines="2  8-11"
{!> ../../docs_src/schema_extra_example/tutorial002_py310.py!}

\"y\":[{\"accessor\":1,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"avg\"}]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"avg\",\"schema\":\"metric\",\"params\":{\"field\":\"responseTime\"}},{\"id\":\"2\",\"enabled\":true,\"type\":\"date_histogram\",\"schema\":\"segment\",\"params\":{\"field\":\"requestedAt\",\"timeRange\":{\"from\":\"now-2d\",\"to\":\"now\"},\"useNormalizedEsInterval\":true,\"interval\":\"auto\",\"drop_partials\":false,\"min_doc_count\":1,\"extended_bounds...

	// Officially, the name and comment fields are supposed to be encoded
	// in CP-437 (which is mostly compatible with ASCII), unless the UTF-8
	// flag bit is set. However, there are several problems:
	//
	//	* Many ZIP readers still do not support UTF-8.
	//	* If the UTF-8 flag is cleared, several readers simply interpret the
	//	name and comment fields as whatever the local system encoding is.
	//

     * we can reference a node whose fields have been cleared is inside the iterator (and presumably
     * only under concurrent modification).
     *
     * To access these fields when you know that they are not null, call the pred() and succ()
     * methods, which perform null checks before returning the fields.
     */
    @CheckForNull private AvlNode<E> pred;

	expr.SQL = m.DataTypeOf(field)

	if field.NotNull {
		expr.SQL += " NOT NULL"
	}

	if field.HasDefaultValue && (field.DefaultValueInterface != nil || field.DefaultValue != "") {
		if field.DefaultValueInterface != nil {
			defaultStmt := &gorm.Statement{Vars: []interface{}{field.DefaultValueInterface}}
			m.Dialector.BindVarTo(defaultStmt, defaultStmt, field.DefaultValueInterface)