///

As SQLModel is based on SQLAlchemy, you can easily use **any database supported** by SQLAlchemy (which makes them also supported by SQLModel), like:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

     * information to search engines and may not correlate exactly to how often
     * they crawl the page. Valid values are:
     * <ul>
     * <li>always</li>
     * <li>hourly</li>
     * <li>daily</li>
     * <li>weekly</li>
     * <li>monthly</li>
     * <li>yearly</li>
     * <li>never</li>
     * </ul>
     * The value "always" should be used to describe documents that change each

participant execute as Funktion ausgeführt

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: führe Code der Funktion aus
        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: gib das gespeicherte Resultat zurück
    end

    rect rgba(0, 255, 0, .1)

 * under the License.
 */
package org.apache.maven.repository.legacy;

import org.apache.maven.wagon.TransferFailedException;

/**
 * Occurs when a download checksum fails.
 *
 */
@Deprecated
public class ChecksumFailedException extends TransferFailedException {
    public ChecksumFailedException(String s) {
        super(s);
    }

[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine

5. Copy the `./app` directory inside the `/code` directory.

    As this has all the code which is what **changes most frequently** the Docker **cache** won't be used for this or any **following steps** easily.

    So, it's important to put this **near the end** of the `Dockerfile`, to optimize the container image build times.

6. Set the **command** to use `fastapi run`, which uses Uvicorn underneath.

        triggers {
            vcs {
                branchFilter = "+:master"
                enabled = enableTriggers
            }
            schedule {
                schedulingPolicy =
                    daily {
                        hour = 3
                    }
                branchFilter = "+:master"
                triggerBuild = always()
                withPendingChangesOnly = false

* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

Usando imagens de contêiner pré-prontas é muito fácil **combinar** e usar diferentes ferramentas. Por exemplo, para testar um novo banco de dados. Em muitos casos, você pode usar as **imagens oficiais** precisando somente de variáveis de ambiente para configurá-las.

# GraphQL

Como o **FastAPI** é baseado no padrão **ASGI**, é muito fácil integrar qualquer biblioteca **GraphQL** também compatível com ASGI.

Você pode combinar *operações de rota* normais do FastAPI com GraphQL na mesma aplicação.

/// tip | Dica

**GraphQL** resolve alguns casos de uso muito específicos.

Ele tem **vantagens** e **desvantagens** quando comparado a **web APIs** comuns.

# Despliegue

Desplegar una aplicación **FastAPI** es relativamente fácil.

## Qué Significa Despliegue

**Desplegar** una aplicación significa realizar los pasos necesarios para hacerla **disponible para los usuarios**.