\... and more!

To learn more about Elasticsearch's features and capabilities, see our
https://www.elastic.co/products/elasticsearch[product page].

[[get-started]]
== Get started

The simplest way to set up Elasticsearch is to create a managed deployment with
https://www.elastic.co/cloud/as-a-service[Elasticsearch Service on Elastic
Cloud].

If you prefer to install and manage Elasticsearch yourself, you can download

    additional terms, to the whole of the work, and all its parts,
    regardless of how they are packaged.  This License gives no
    permission to license the work in any other way, but it does not
    invalidate such permission if you have separately received it.

    d) If the work has interactive user interfaces, each must display
    Appropriate Legal Notices; however, if the Program has interactive

## Optimize Response Performance - Response Model - Return Type { #optimize-response-performance-response-model-return-type }

To optimize performance when returning JSON data, use a return type or response model, that way Pydantic will handle the serialization to JSON on the Rust side, without going through Python. Read more in the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md).

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


def process_auth(
    credentials: Annotated[str | None, Security(oauth2_scheme)],
    security_scopes: SecurityScopes,
):
    # This is an incorrect way of using it, this is not checking if the scopes are
    # provided by the token, only if the endpoint is requesting them, but the test
    # here is just to check if FastAPI is indeed registering and passing the scopes

/**
 * Implementation detail for the internal structure of {@link Range} instances. Represents a unique
 * way of "cutting" a "number line" (actually of instances of type {@code C}, not necessarily
 * "numbers") into two sections; this can be done below a certain value, above a certain value,
 * below all values or above all values. With this object defined in this way, an interval can
 * always be represented by a pair of {@code Cut} instances.
 *

         * the first occurrence. So when we're in lenient/compat mode, we have to deal with such broken POMs and mimic
         * the way 2.x works. When we're in strict mode, the removal of duplicates just saves other merging steps from
         * aftereffects and bogus error messages.
         */
        List<Dependency> dependencies = model.getDependencies();

 * given the content data that was used to create the source or that was written to the sink.
 *
 * <p>A single {@code SourceSinkFactory} implementation generally corresponds to one specific way of
 * creating a source or sink, such as {@link Files#asByteSource(File)}. Implementations of {@code
 * SourceSinkFactory} for common.io are found in {@link SourceSinkFactories}.
 *
 * @param <S> the source or sink type

It should be a `list` of `Depends()`:

{* ../../docs_src/dependencies/tutorial006_an_py310.py hl[19] *}

These dependencies will be executed/solved the same way as normal dependencies. But their value (if they return any) won't be passed to your *path operation function*.

/// tip

Some editors check for unused function parameters, and show them as errors.

		}
		buf.WriteString("\n")
	}
	return values
}

// CertificateText returns a human-readable string representation
// of the certificate cert. The format is similar to the OpenSSL
// way of printing certificates (not identical).
func CertificateText(cert *x509.Certificate) string {
	var buf strings.Builder

	buf.WriteString(color.Blue("\nCertificate:\n"))

We didn't have a way to **update a hero** in the previous version of the app, but now with **multiple models**, we can do it. 🎉

The `HeroUpdate` *data model* is somewhat special, it has **all the same fields** that would be needed to create a new hero, but all the fields are **optional** (they all have a default value). This way, when you update a hero, you can send just the fields that you want to update.