if (array[i] > max) {
        max = array[i];
      }
    }
    return max;
  }

  /**
   * Returns the value nearest to {@code value} which is within the closed range {@code [min..max]}.
   *
   * <p>If {@code value} is within the range {@code [min..max]}, {@code value} is returned
   * unchanged. If {@code value} is less than {@code min}, {@code min} is returned, and if {@code

    for (int i = 1; i < array.length; i++) {
      max = Math.max(max, array[i]);
    }
    return max;
  }

  /**
   * Returns the value nearest to {@code value} which is within the closed range {@code [min..max]}.
   *
   * <p>If {@code value} is within the range {@code [min..max]}, {@code value} is returned
   * unchanged. If {@code value} is less than {@code min}, {@code min} is returned, and if {@code

# **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.

        override fun source(): BufferedSource = TODO()

        override fun close() = TODO()
      }
    val byteStream = responseBody.byteStream()
    val source = responseBody.source()
    val bytes = responseBody.bytes()
    val charStream = responseBody.charStream()
    val string = responseBody.string()
    responseBody.close()
    responseBody = "".toResponseBody("".toMediaType())

Esto se debe a que queremos incluir sus *path operations* en el esquema de OpenAPI y las interfaces de usuario.

Como no podemos simplemente aislarlos y "montarlos" independientemente del resto, se "clonan" las *path operations* (se vuelven a crear), no se incluyen directamente.

///

## Revisa la documentación automática de la API { #check-the-automatic-api-docs }

Ahora, ejecuta tu aplicación:

        }
    }

    /**
     * LSA close handle message.
     */
    public static class LsarClose extends DcerpcMessage {

        @Override
        public int getOpnum() {
            return 0x00;
        }

        /** Return value from the RPC call. */
        public int retval;
        /** Policy handle to be closed. */
        public rpc.policy_handle handle;

    for (int i = 1; i < array.length; i++) {
      max = Math.max(max, array[i]);
    }
    return max;
  }

  /**
   * Returns the value nearest to {@code value} which is within the closed range {@code [min..max]}.
   *
   * <p>If {@code value} is within the range {@code [min..max]}, {@code value} is returned
   * unchanged. If {@code value} is less than {@code min}, {@code min} is returned, and if {@code

// additionally support watching storage for changes.
type iamStorageWatcher interface {
	watch(ctx context.Context, keyPath string) <-chan iamWatchEvent
}

// Set default canned policies only if not already overridden by users.
func setDefaultCannedPolicies(policies map[string]PolicyDoc) {
	for _, v := range policy.DefaultPolicies {
		if _, ok := policies[v.Name]; !ok {

// gatherResults will collect all results on the input channel and filter results according
// to the options or to the current bucket ILM expiry rules.
// Caller should close the channel when done.
// The returned function will return the results once there is enough or input is closed,
// or the context is canceled.
func (o *listPathOptions) gatherResults(ctx context.Context, in <-chan metaCacheEntry) func() (metaCacheEntriesSorted, error) {

   * characters can be read, the remaining characters are returned and the stream is closed.
   */
  private fun readAscii(
    inputStream: InputStream,
    count: Int,
  ): String {
    val result = StringBuilder()
    for (i in 0 until count) {
      val value = inputStream.read()
      if (value == -1) {
        inputStream.close()
        break
      }
      result.append(value.toChar())
    }