MinIO is a high performance distributed object storage server, designed for large-scale private cloud infrastructure. MinIO is designed in a cloud-native manner to scale sustainably in multi-tenant environments. Orchestration platforms like Kubernetes provide perfect cloud-native environment to deploy and scale MinIO.

## MinIO Deployment on Kubernetes

There are multiple options to deploy MinIO on Kubernetes:

    # o isAvailableDatabaseNativeJDBC: (NotRequired - Default false)
    #   [true]
    #     Use classes of database native JDBC on generated classes to get best performances of DB access.
    #     Your project needs to refer to database native JDBC.
    #
    #; isAvailableDatabaseNativeJDBC = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

  /**
   * 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

     *
     * @return remote key
     */
    protected abstract int generateRemoteKey();

    /**
     * Get native memory address of the buffer
     *
     * @param buffer buffer to get address for
     * @return native memory address
     */
    protected abstract long getBufferAddress(ByteBuffer buffer);

    @Override
    public void close() {
        invalidate();

            // - Testing basic RDMA operations
            // - Checking for required native libraries

            return true;
        } catch (ClassNotFoundException e) {
            log.debug("DiSNI not available: {}", e.getMessage());
            return false;
        } catch (UnsatisfiedLinkError e) {
            log.debug("DiSNI native libraries not available: {}", e.getMessage());
            return false;
        }
    }

cmd="\"$JAVACMD\" \
  $MAVEN_OPTS \
  $MAVEN_DEBUG_OPTS \
  --enable-native-access=ALL-UNNAMED \
  -classpath \"$LAUNCHER_JAR\" \
  \"-Dclassworlds.conf=$CLASSWORLDS_CONF\" \
  \"-Dmaven.home=$MAVEN_HOME\" \
  \"-Dmaven.mainClass=$MAVEN_MAIN_CLASS\" \
  \"-Dlibrary.jline.path=${MAVEN_HOME}/lib/jline-native\" \
  \"-Dmaven.multiModuleProjectDirectory=$MAVEN_PROJECTBASEDIR\" \
  $LAUNCHER_CLASS \

        <artifactId>maven-dependency-plugin</artifactId>
        <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>

	if aec != ErrNone {
		return psv, aec
	}

	var e error
	// Save date in native time.Time.
	preSignV4Values.Date, e = time.Parse(iso8601Format, query.Get(xhttp.AmzDate))
	if e != nil {
		return psv, ErrMalformedPresignedDate
	}

	// Save expires in native time.Duration.
	preSignV4Values.Expires, e = time.ParseDuration(query.Get(xhttp.AmzExpires) + "s")
	if e != nil {

# **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
    protected long getBufferAddress(ByteBuffer buffer) {
        // Return a fake address for TCP
        // In real RDMA implementations, this would be the native memory address
        return buffer.hashCode();
    }