```JSON
{
  "detail": "Not authenticated"
}
```

### Usuário inativo

Agora tente com um usuário inativo, autentique-se com:

User: `alice`

Password: `secret2`

E tente usar a operação `GET` com o caminho `/users/me`.

Você receberá um erro "Usuário inativo", como:

```JSON
{
  "detail": "Inactive user"
}
```

## Recaptulando

No entanto, pode haver casos em que escrevemos algum código que **trava todo o aplicativo**, fazendo com que o Uvicorn e o Python travem. 💥

E ainda assim, você provavelmente não gostaria que o aplicativo permanecesse inativo porque houve um erro em um lugar, você provavelmente quer que ele **continue em execução** pelo menos para as *operações de caminho* que não estão quebradas.

### Reiniciar após falha

        <executions>
          <execution>
            <id>unpack-jline-native</id>
            <goals>
              <goal>unpack-dependencies</goal>
            </goals>
            <configuration>
              <includeArtifactIds>jline-native</includeArtifactIds>
              <includes>org/jline/nativ/**</includes>
            </configuration>
          </execution>
        </executions>

Benutzer: `alice`.

Passwort: `secret2`.

Und versuchen Sie, die Operation `GET` mit dem Pfad `/users/me` zu verwenden.

Sie erhalten die Fehlermeldung „Inactive user“:

```JSON
{
  "detail": "Inactive user"
}
```

## Zusammenfassung

Sie verfügen jetzt über die Tools, um ein vollständiges Sicherheitssystem basierend auf `username` und `password` für Ihre API zu implementieren.

  /** Returns true if the method is abstract. */
  public final boolean isAbstract() {
    return Modifier.isAbstract(getModifiers());
  }

  /** Returns true if the element is native. */
  public final boolean isNative() {
    return Modifier.isNative(getModifiers());
  }

  /** Returns true if the method is synchronized. */
  public final boolean isSynchronized() {
    return Modifier.isSynchronized(getModifiers());
  }

```JSON
{
  "detail": "Not authenticated"
}
```

### Inactive user

Now try with an inactive user, authenticate with:

User: `alice`

Password: `secret2`

And try to use the operation `GET` with the path `/users/me`.

You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

## Recap

    // In contrast to the JVM, Kotlin native throws an Illegal argument exception in this case
    // (which seems to make more sense).
    try {
      UnsignedInts.parseUnsignedInt("0", Character.MIN_RADIX - 1);
      fail();
    } catch (NumberFormatException expected) {
    } catch (IllegalArgumentException expected) {
      // Kotlin native, see above
    }

    try {

# **Disaggregated HDP Spark and Hive with MinIO**

## **1. Cloud-native Architecture**

![cloud-native](https://github.com/minio/minio/blob/master/docs/bigdata/images/image1.png?raw=true "cloud native architecture")

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.

			return checkRequestAuthType(ctx, r, action, bucket, name)
		}
	}
	urlValues := r.Form

	// Extract all the listBucketVersions query params to their native values.
	prefix, marker, delimiter, maxkeys, encodingType, versionIDMarker, errCode := getListBucketObjectVersionsArgs(urlValues)
	if errCode != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(errCode), r.URL)

  /**
   * Similar to load64, but allows offset + 8 > input.length, padding the result with zeroes. This
   * has to explicitly reverse the order of the bytes as it packs them into the result which makes
   * it slower than the native version.
   *
   * @param input the input bytes
   * @param offset the offset into the array at which to start reading
   * @param length the number of bytes from the input to read