---> 100%
```

</div>

## Crear la App con un Solo Modelo { #create-the-app-with-a-single-model }

Primero crearemos la versión más simple de la aplicación con un solo modelo de **SQLModel**.

Más adelante la mejoraremos aumentando la seguridad y versatilidad con **múltiples modelos** a continuación. 🤓

### Crear Modelos { #create-models }

Importa `SQLModel` y crea un modelo de base de datos:

import org.apache.maven.model.Parent;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.model.PluginManagement;
import org.apache.maven.model.Profile;
import org.apache.maven.model.ReportPlugin;
import org.apache.maven.model.Reporting;
import org.apache.maven.model.Repository;
import org.apache.maven.model.Resource;
import org.apache.maven.model.building.ModelBuildingRequest;

import org.apache.maven.lifecycle.DefaultLifecycles;
import org.apache.maven.lifecycle.LifecycleExecutor;
import org.apache.maven.lifecycle.MavenExecutionPlan;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.plugin.MojoExecution;

/**
 * A stub implementation that assumes an empty lifecycle to bypass interaction with the plugin manager and to avoid

from typing import Annotated, Optional, Union

from annotated_doc import Doc
from fastapi.openapi.models import APIKey, APIKeyIn
from fastapi.security.base import SecurityBase
from starlette.exceptions import HTTPException
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED


class APIKeyBase(SecurityBase):
    def __init__(
        self,
        location: APIKeyIn,
        name: str,

		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
	}
	uaAppend(")", "")

	return strings.Join(userAgentParts, "")
}

func downloadReleaseURL(u *url.URL, timeout time.Duration, mode string) (content string, err error) {

specified while starting kube-proxy (‘userspace’ or ‘iptables’), the flag value
will be respected. If the flag value is not specified, the kube-proxy respects
the Node object annotation: ‘net.beta.kubernetes.io/proxy-mode’. If the
annotation is not specified, then ‘iptables’ mode is the default. If kube-proxy
is unable to start in iptables mode because system requirements are not met

    }

    public static void toArtifacts(
            Collection<org.apache.maven.artifact.Artifact> artifacts,
            Collection<? extends DependencyNode> nodes,
            List<String> trail,
            DependencyFilter filter) {
        for (DependencyNode node : nodes) {
            org.apache.maven.artifact.Artifact artifact = toArtifact(node.getDependency());

            List<String> nodeTrail = new ArrayList<>(trail.size() + 1);

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

You can see those schemas because they were declared with the models in the app.

That information is available in the app's **OpenAPI schema**, and then shown in the API docs.

That same information from the models that is included in OpenAPI is what can be used to **generate the client code**.

### Hey API { #hey-api }

)

// TestMain initializes the testing framework
func TestMain(m *testing.M) {
	startLockServers()

	// Initialize locker clients for dsync.
	var clnts []NetLocker
	for i := range nodes {
		clnts = append(clnts, newClient(nodes[i].URL))
	}

	ds = &Dsync{
		GetLockers: func() ([]NetLocker, string) { return clnts, uuid.New().String() },
		Timeouts: Timeouts{
			Acquire:         testDrwMutexAcquireTimeout,