Once the config changes are applied, proceed to restart **Hadoop** services.

![hdfs-services](https://github.com/minio/minio/blob/master/docs/bigdata/images/image7.png?raw=true "hdfs restart services")

### **3.2 Configure Spark2**

Navigate to **Services** -> **Spark2** -> **CONFIGS** as shown below

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // The device of var_handle0 is local device which is the same before and
  // after cluster update. Remove resource with valid device should succeed.
  TFE_Op* op = TFE_NewOp(ctx, "DestroyResourceOp", status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, var_handle0, status);

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import java.util.Collection;

import org.apache.maven.api.ProducedArtifact;
import org.apache.maven.api.RemoteRepository;
import org.apache.maven.api.Session;
import org.apache.maven.api.annotations.Experimental;

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

			// - mount.Path doesn't match (means cross-device mount), should error out.
			if mount.Path != path {
				crossMounts = append(crossMounts, mount)
			}
		}
	}
	msg := `Cross-device mounts detected on path (%s) at following locations %s. Export path should not have any sub-mounts, refusing to start.`
	if len(crossMounts) > 0 {
		// if paths didn't match then we do have cross-device mount.
		return fmt.Errorf(msg, path, crossMounts)

 */

package gradlebuild.basics

import org.gradle.api.file.DirectoryProperty
import org.gradle.api.provider.Provider
import org.gradle.api.provider.ProviderFactory
import org.gradle.api.services.BuildService
import org.gradle.api.services.BuildServiceParameters
import org.gradle.internal.os.OperatingSystem
import javax.inject.Inject


abstract class BuildEnvironmentService : BuildService<BuildEnvironmentService.Parameters> {

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import java.util.Collection;
import java.util.List;

import org.apache.maven.api.ArtifactCoordinates;
import org.apache.maven.api.RemoteRepository;
import org.apache.maven.api.Session;

import java.util.stream.Collectors;

import org.apache.maven.api.JavaPathType;
import org.apache.maven.api.Type;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.services.LanguageRegistry;
import org.apache.maven.api.services.TypeRegistry;
import org.apache.maven.api.spi.TypeProvider;
import org.apache.maven.artifact.handler.ArtifactHandler;
import org.apache.maven.artifact.handler.manager.LegacyArtifactHandlerManager;

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const DLTensor* dltensor_out = &dlm_out->dl_tensor;
  EXPECT_EQ(dltensor_out->device.device_type, dltensor_in->device.device_type);
  EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id);
  EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim);
  EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code);

// Create a variable handle with name `variable_name` on a device with name
// `device_name`.
TFE_TensorHandle* CreateVarHandle(TFE_Context* ctx,
                                  const tensorflow::string& device_name,
                                  const tensorflow::string& variable_name);

// Create a variable with value `value` and name `variable_name` on a device
// with name `device_name`.