t.Errorf("no error should happen when query with embedded struct, but got %v", err)
	} else if egNews.BasePost.Title != "engadget_news" {
		t.Errorf("embedded struct's value should be scanned correctly")
	}

	var egPosts []EngadgetPost
	if err := DB.Order("author_name asc").Find(&egPosts).Error; err != nil {
		t.Fatalf("no error should happen when query with embedded struct, but got %v", err)
	}

  private const val TYPE_PTR = 0x000c
  private val ASCII = Charsets.US_ASCII

  fun encodeQuery(
    host: String,
    type: Int,
  ): ByteString =
    Buffer()
      .apply {
        writeShort(0) // query id
        writeShort(256) // flags with recursion
        writeShort(1) // question count
        writeShort(0) // answerCount
        writeShort(0) // authorityResourceCount
        writeShort(0) // additional

            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "maxSize" : {
            "type" : "integer"
          },
          "query" : {
            "type" : "keyword"
          },
          "term" : {
            "type" : "keyword"
          },
          "updatedBy" : {
            "type" : "keyword"
          },

Esos parámetros son los que **FastAPI** usará para "resolver" la dependencia.

En ambos casos, tendrá:

* Un parámetro de query `q` opcional que es un `str`.
* Un parámetro de query `skip` que es un `int`, con un valor por defecto de `0`.
* Un parámetro de query `limit` que es un `int`, con un valor por defecto de `100`.

En ambos casos, los datos serán convertidos, validados, documentados en el esquema de OpenAPI, etc.

            throw new SQLRuntimeException(ex);
        }
    }

    /**
     * Sets the query timeout.
     *
     * @param statement
     *            {@link Statement}. Must not be {@literal null}.
     * @param queryTimeout
     *            Query timeout.
     * @see Statement#setQueryTimeout(int)
     */

{* ../../docs_src/schema_extra_example/tutorial002_py310.py hl[2,8:11] *}

## `examples` no JSON Schema - OpenAPI { #examples-in-json-schema-openapi }

Ao usar qualquer um de:

* `Path()`
* `Query()`
* `Header()`
* `Cookie()`
* `Body()`
* `Form()`
* `File()`

você também pode declarar um grupo de `examples` com informações adicionais que serão adicionadas aos seus **JSON Schemas** dentro do **OpenAPI**.

{* ../../docs_src/schema_extra_example/tutorial002_py310.py hl[2,8:11] *}

## `examples` en JSON Schema - OpenAPI { #examples-in-json-schema-openapi }

Cuando usas cualquiera de:

* `Path()`
* `Query()`
* `Header()`
* `Cookie()`
* `Body()`
* `Form()`
* `File()`

también puedes declarar un grupo de `examples` con información adicional que se añadirá a sus **JSON Schemas** dentro de **OpenAPI**.

	credential := fmt.Sprintf("%s/%s", accessKeyID, scope)

	// Set URL query.
	query := req.URL.Query()
	query.Set("X-Amz-Algorithm", signV4Algorithm)
	query.Set("X-Amz-Date", date.Format(iso8601Format))
	query.Set("X-Amz-Expires", strconv.FormatInt(expires, 10))
	query.Set("X-Amz-SignedHeaders", "host")
	query.Set("X-Amz-Credential", credential)
	query.Set("X-Amz-Content-Sha256", unsignedPayload)

        }
    }

    public void addDocument(final Map<String, Object> doc) {
        documentList.add(doc);
    }

    public void setSearchQuery(final String query) {
        addSearchFieldLogValue(Constants.SEARCH_FIELD_LOG_SEARCH_QUERY, query);
    }

    public OptionalEntity<UserInfo> getUserInfo() {
        if (getUserInfoId() == null) {
            return OptionalEntity.empty();
        }

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;