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The AWS Java SDK for Amazon EMR module holds the client classes that are used for communicating with Amazon Elastic MapReduce Service
/*
* Copyright 2017-2022 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.elasticmapreduce;
import org.w3c.dom.*;
import java.net.*;
import java.util.*;
import javax.annotation.Generated;
import org.apache.commons.logging.*;
import com.amazonaws.*;
import com.amazonaws.annotation.SdkInternalApi;
import com.amazonaws.auth.*;
import com.amazonaws.handlers.*;
import com.amazonaws.http.*;
import com.amazonaws.internal.*;
import com.amazonaws.internal.auth.*;
import com.amazonaws.metrics.*;
import com.amazonaws.regions.*;
import com.amazonaws.transform.*;
import com.amazonaws.util.*;
import com.amazonaws.protocol.json.*;
import com.amazonaws.util.AWSRequestMetrics.Field;
import com.amazonaws.annotation.ThreadSafe;
import com.amazonaws.client.AwsSyncClientParams;
import com.amazonaws.client.builder.AdvancedConfig;
import com.amazonaws.services.elasticmapreduce.AmazonElasticMapReduceClientBuilder;
import com.amazonaws.services.elasticmapreduce.waiters.AmazonElasticMapReduceWaiters;
import com.amazonaws.AmazonServiceException;
import com.amazonaws.services.elasticmapreduce.model.*;
import com.amazonaws.services.elasticmapreduce.model.transform.*;
/**
* Client for accessing Amazon EMR. All service calls made using this client are blocking, and will not return until the
* service call completes.
*
*
* Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop
* processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file
* analysis, machine learning, scientific simulation, and data warehouse management.
*
*/
@ThreadSafe
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class AmazonElasticMapReduceClient extends AmazonWebServiceClient implements AmazonElasticMapReduce {
/** Provider for AWS credentials. */
private final AWSCredentialsProvider awsCredentialsProvider;
private static final Log log = LogFactory.getLog(AmazonElasticMapReduce.class);
/** Default signing name for the service. */
private static final String DEFAULT_SIGNING_NAME = "elasticmapreduce";
private volatile AmazonElasticMapReduceWaiters waiters;
/** Client configuration factory providing ClientConfigurations tailored to this client */
protected static final ClientConfigurationFactory configFactory = new ClientConfigurationFactory();
private final AdvancedConfig advancedConfig;
private static final com.amazonaws.protocol.json.SdkJsonProtocolFactory protocolFactory = new com.amazonaws.protocol.json.SdkJsonProtocolFactory(
new JsonClientMetadata()
.withProtocolVersion("1.1")
.withSupportsCbor(false)
.withSupportsIon(false)
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InvalidRequestException").withExceptionUnmarshaller(
com.amazonaws.services.elasticmapreduce.model.transform.InvalidRequestExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InternalServerException").withExceptionUnmarshaller(
com.amazonaws.services.elasticmapreduce.model.transform.InternalServerExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InternalServerError").withExceptionUnmarshaller(
com.amazonaws.services.elasticmapreduce.model.transform.InternalServerErrorExceptionUnmarshaller.getInstance()))
.withBaseServiceExceptionClass(com.amazonaws.services.elasticmapreduce.model.AmazonElasticMapReduceException.class));
/**
* Constructs a new client to invoke service methods on Amazon EMR. A credentials provider chain will be used that
* searches for credentials in this order:
*
* - Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
* - Java System Properties - aws.accessKeyId and aws.secretKey
* - Instance profile credentials delivered through the Amazon EC2 metadata service
*
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @see DefaultAWSCredentialsProviderChain
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#defaultClient()}
*/
@Deprecated
public AmazonElasticMapReduceClient() {
this(DefaultAWSCredentialsProviderChain.getInstance(), configFactory.getConfig());
}
/**
* Constructs a new client to invoke service methods on Amazon EMR. A credentials provider chain will be used that
* searches for credentials in this order:
*
* - Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
* - Java System Properties - aws.accessKeyId and aws.secretKey
* - Instance profile credentials delivered through the Amazon EC2 metadata service
*
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param clientConfiguration
* The client configuration options controlling how this client connects to Amazon EMR (ex: proxy settings,
* retry counts, etc.).
*
* @see DefaultAWSCredentialsProviderChain
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#withClientConfiguration(ClientConfiguration)}
*/
@Deprecated
public AmazonElasticMapReduceClient(ClientConfiguration clientConfiguration) {
this(DefaultAWSCredentialsProviderChain.getInstance(), clientConfiguration);
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified AWS account credentials.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param awsCredentials
* The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#withCredentials(AWSCredentialsProvider)} for example:
* {@code AmazonElasticMapReduceClientBuilder.standard().withCredentials(new AWSStaticCredentialsProvider(awsCredentials)).build();}
*/
@Deprecated
public AmazonElasticMapReduceClient(AWSCredentials awsCredentials) {
this(awsCredentials, configFactory.getConfig());
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified AWS account credentials and
* client configuration options.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param awsCredentials
* The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
* @param clientConfiguration
* The client configuration options controlling how this client connects to Amazon EMR (ex: proxy settings,
* retry counts, etc.).
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#withCredentials(AWSCredentialsProvider)} and
* {@link AmazonElasticMapReduceClientBuilder#withClientConfiguration(ClientConfiguration)}
*/
@Deprecated
public AmazonElasticMapReduceClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration) {
super(clientConfiguration);
this.awsCredentialsProvider = new StaticCredentialsProvider(awsCredentials);
this.advancedConfig = AdvancedConfig.EMPTY;
init();
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified AWS account credentials
* provider.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#withCredentials(AWSCredentialsProvider)}
*/
@Deprecated
public AmazonElasticMapReduceClient(AWSCredentialsProvider awsCredentialsProvider) {
this(awsCredentialsProvider, configFactory.getConfig());
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified AWS account credentials
* provider and client configuration options.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
* @param clientConfiguration
* The client configuration options controlling how this client connects to Amazon EMR (ex: proxy settings,
* retry counts, etc.).
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#withCredentials(AWSCredentialsProvider)} and
* {@link AmazonElasticMapReduceClientBuilder#withClientConfiguration(ClientConfiguration)}
*/
@Deprecated
public AmazonElasticMapReduceClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration) {
this(awsCredentialsProvider, clientConfiguration, null);
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified AWS account credentials
* provider, client configuration options, and request metric collector.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
* @param clientConfiguration
* The client configuration options controlling how this client connects to Amazon EMR (ex: proxy settings,
* retry counts, etc.).
* @param requestMetricCollector
* optional request metric collector
* @deprecated use {@link AmazonElasticMapReduceClientBuilder#withCredentials(AWSCredentialsProvider)} and
* {@link AmazonElasticMapReduceClientBuilder#withClientConfiguration(ClientConfiguration)} and
* {@link AmazonElasticMapReduceClientBuilder#withMetricsCollector(RequestMetricCollector)}
*/
@Deprecated
public AmazonElasticMapReduceClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration,
RequestMetricCollector requestMetricCollector) {
super(clientConfiguration, requestMetricCollector);
this.awsCredentialsProvider = awsCredentialsProvider;
this.advancedConfig = AdvancedConfig.EMPTY;
init();
}
public static AmazonElasticMapReduceClientBuilder builder() {
return AmazonElasticMapReduceClientBuilder.standard();
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified parameters.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param clientParams
* Object providing client parameters.
*/
AmazonElasticMapReduceClient(AwsSyncClientParams clientParams) {
this(clientParams, false);
}
/**
* Constructs a new client to invoke service methods on Amazon EMR using the specified parameters.
*
*
* All service calls made using this new client object are blocking, and will not return until the service call
* completes.
*
* @param clientParams
* Object providing client parameters.
*/
AmazonElasticMapReduceClient(AwsSyncClientParams clientParams, boolean endpointDiscoveryEnabled) {
super(clientParams);
this.awsCredentialsProvider = clientParams.getCredentialsProvider();
this.advancedConfig = clientParams.getAdvancedConfig();
init();
}
private void init() {
setServiceNameIntern(DEFAULT_SIGNING_NAME);
setEndpointPrefix(ENDPOINT_PREFIX);
// calling this.setEndPoint(...) will also modify the signer accordingly
setEndpoint("https://elasticmapreduce.amazonaws.com");
HandlerChainFactory chainFactory = new HandlerChainFactory();
requestHandler2s.addAll(chainFactory.newRequestHandlerChain("/com/amazonaws/services/elasticmapreduce/request.handlers"));
requestHandler2s.addAll(chainFactory.newRequestHandler2Chain("/com/amazonaws/services/elasticmapreduce/request.handler2s"));
requestHandler2s.addAll(chainFactory.getGlobalHandlers());
}
/**
*
* Adds an instance fleet to a running cluster.
*
*
*
* The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x.
*
*
*
* @param addInstanceFleetRequest
* @return Result of the AddInstanceFleet operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.AddInstanceFleet
* @see AWS API Documentation
*/
@Override
public AddInstanceFleetResult addInstanceFleet(AddInstanceFleetRequest request) {
request = beforeClientExecution(request);
return executeAddInstanceFleet(request);
}
@SdkInternalApi
final AddInstanceFleetResult executeAddInstanceFleet(AddInstanceFleetRequest addInstanceFleetRequest) {
ExecutionContext executionContext = createExecutionContext(addInstanceFleetRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new AddInstanceFleetRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(addInstanceFleetRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddInstanceFleet");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddInstanceFleetResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Adds one or more instance groups to a running cluster.
*
*
* @param addInstanceGroupsRequest
* Input to an AddInstanceGroups call.
* @return Result of the AddInstanceGroups operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.AddInstanceGroups
* @see AWS API Documentation
*/
@Override
public AddInstanceGroupsResult addInstanceGroups(AddInstanceGroupsRequest request) {
request = beforeClientExecution(request);
return executeAddInstanceGroups(request);
}
@SdkInternalApi
final AddInstanceGroupsResult executeAddInstanceGroups(AddInstanceGroupsRequest addInstanceGroupsRequest) {
ExecutionContext executionContext = createExecutionContext(addInstanceGroupsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new AddInstanceGroupsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(addInstanceGroupsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddInstanceGroups");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddInstanceGroupsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* AddJobFlowSteps adds new steps to a running cluster. A maximum of 256 steps are allowed in each job flow.
*
*
* If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps
* to process your data. You can bypass the 256-step limitation in various ways, including using SSH to connect to
* the master node and submitting queries directly to the software running on the master node, such as Hive and
* Hadoop. For more information on how to do this, see Add More than 256 Steps to
* a Cluster in the Amazon EMR Management Guide.
*
*
* A step specifies the location of a JAR file stored either on the master node of the cluster or in Amazon S3. Each
* step is performed by the main function of the main class of the JAR file. The main class can be specified either
* in the manifest of the JAR or by using the MainFunction parameter of the step.
*
*
* Amazon EMR executes each step in the order listed. For a step to be considered complete, the main function must
* exit with a zero exit code and all Hadoop jobs started while the step was running must have completed and run
* successfully.
*
*
* You can only add steps to a cluster that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or
* WAITING.
*
*
*
* The string values passed into HadoopJarStep object cannot exceed a total of 10240 characters.
*
*
*
* @param addJobFlowStepsRequest
* The input argument to the AddJobFlowSteps operation.
* @return Result of the AddJobFlowSteps operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.AddJobFlowSteps
* @see AWS API Documentation
*/
@Override
public AddJobFlowStepsResult addJobFlowSteps(AddJobFlowStepsRequest request) {
request = beforeClientExecution(request);
return executeAddJobFlowSteps(request);
}
@SdkInternalApi
final AddJobFlowStepsResult executeAddJobFlowSteps(AddJobFlowStepsRequest addJobFlowStepsRequest) {
ExecutionContext executionContext = createExecutionContext(addJobFlowStepsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new AddJobFlowStepsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(addJobFlowStepsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddJobFlowSteps");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddJobFlowStepsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio. Tags make it easier to associate
* resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more
* information, see Tag
* Clusters.
*
*
* @param addTagsRequest
* This input identifies an Amazon EMR resource and a list of tags to attach.
* @return Result of the AddTags operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.AddTags
* @see AWS API
* Documentation
*/
@Override
public AddTagsResult addTags(AddTagsRequest request) {
request = beforeClientExecution(request);
return executeAddTags(request);
}
@SdkInternalApi
final AddTagsResult executeAddTags(AddTagsRequest addTagsRequest) {
ExecutionContext executionContext = createExecutionContext(addTagsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new AddTagsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(addTagsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddTags");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(new JsonOperationMetadata()
.withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddTagsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Cancels a pending step or steps in a running cluster. Available only in Amazon EMR versions 4.8.0 and later,
* excluding version 5.0.0. A maximum of 256 steps are allowed in each CancelSteps request. CancelSteps is
* idempotent but asynchronous; it does not guarantee that a step will be canceled, even if the request is
* successfully submitted. When you use Amazon EMR versions 5.28.0 and later, you can cancel steps that are in a
* PENDING or RUNNING state. In earlier versions of Amazon EMR, you can only cancel steps
* that are in a PENDING state.
*
*
* @param cancelStepsRequest
* The input argument to the CancelSteps operation.
* @return Result of the CancelSteps operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.CancelSteps
* @see AWS
* API Documentation
*/
@Override
public CancelStepsResult cancelSteps(CancelStepsRequest request) {
request = beforeClientExecution(request);
return executeCancelSteps(request);
}
@SdkInternalApi
final CancelStepsResult executeCancelSteps(CancelStepsRequest cancelStepsRequest) {
ExecutionContext executionContext = createExecutionContext(cancelStepsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new CancelStepsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(cancelStepsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "CancelSteps");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new CancelStepsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
*
*
* @param createSecurityConfigurationRequest
* @return Result of the CreateSecurityConfiguration operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.CreateSecurityConfiguration
* @see AWS API Documentation
*/
@Override
public CreateSecurityConfigurationResult createSecurityConfiguration(CreateSecurityConfigurationRequest request) {
request = beforeClientExecution(request);
return executeCreateSecurityConfiguration(request);
}
@SdkInternalApi
final CreateSecurityConfigurationResult executeCreateSecurityConfiguration(CreateSecurityConfigurationRequest createSecurityConfigurationRequest) {
ExecutionContext executionContext = createExecutionContext(createSecurityConfigurationRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new CreateSecurityConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(createSecurityConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "CreateSecurityConfiguration");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new CreateSecurityConfigurationResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Creates a new Amazon EMR Studio.
*
*
* @param createStudioRequest
* @return Result of the CreateStudio operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.CreateStudio
* @see AWS
* API Documentation
*/
@Override
public CreateStudioResult createStudio(CreateStudioRequest request) {
request = beforeClientExecution(request);
return executeCreateStudio(request);
}
@SdkInternalApi
final CreateStudioResult executeCreateStudio(CreateStudioRequest createStudioRequest) {
ExecutionContext executionContext = createExecutionContext(createStudioRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new CreateStudioRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(createStudioRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "CreateStudio");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new CreateStudioResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to
* refine Studio permissions for that user or group. Use CreateStudioSessionMapping to assign users to
* a Studio when you use Amazon Web Services SSO authentication. For instructions on how to assign users to a Studio
* when you use IAM authentication, see Assign a user or group to your EMR Studio.
*
*
* @param createStudioSessionMappingRequest
* @return Result of the CreateStudioSessionMapping operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.CreateStudioSessionMapping
* @see AWS API Documentation
*/
@Override
public CreateStudioSessionMappingResult createStudioSessionMapping(CreateStudioSessionMappingRequest request) {
request = beforeClientExecution(request);
return executeCreateStudioSessionMapping(request);
}
@SdkInternalApi
final CreateStudioSessionMappingResult executeCreateStudioSessionMapping(CreateStudioSessionMappingRequest createStudioSessionMappingRequest) {
ExecutionContext executionContext = createExecutionContext(createStudioSessionMappingRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new CreateStudioSessionMappingRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(createStudioSessionMappingRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "CreateStudioSessionMapping");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new CreateStudioSessionMappingResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Deletes a security configuration.
*
*
* @param deleteSecurityConfigurationRequest
* @return Result of the DeleteSecurityConfiguration operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DeleteSecurityConfiguration
* @see AWS API Documentation
*/
@Override
public DeleteSecurityConfigurationResult deleteSecurityConfiguration(DeleteSecurityConfigurationRequest request) {
request = beforeClientExecution(request);
return executeDeleteSecurityConfiguration(request);
}
@SdkInternalApi
final DeleteSecurityConfigurationResult executeDeleteSecurityConfiguration(DeleteSecurityConfigurationRequest deleteSecurityConfigurationRequest) {
ExecutionContext executionContext = createExecutionContext(deleteSecurityConfigurationRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DeleteSecurityConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(deleteSecurityConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteSecurityConfiguration");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new DeleteSecurityConfigurationResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Removes an Amazon EMR Studio from the Studio metadata store.
*
*
* @param deleteStudioRequest
* @return Result of the DeleteStudio operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DeleteStudio
* @see AWS
* API Documentation
*/
@Override
public DeleteStudioResult deleteStudio(DeleteStudioRequest request) {
request = beforeClientExecution(request);
return executeDeleteStudio(request);
}
@SdkInternalApi
final DeleteStudioResult executeDeleteStudio(DeleteStudioRequest deleteStudioRequest) {
ExecutionContext executionContext = createExecutionContext(deleteStudioRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DeleteStudioRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(deleteStudioRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteStudio");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteStudioResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Removes a user or group from an Amazon EMR Studio.
*
*
* @param deleteStudioSessionMappingRequest
* @return Result of the DeleteStudioSessionMapping operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DeleteStudioSessionMapping
* @see AWS API Documentation
*/
@Override
public DeleteStudioSessionMappingResult deleteStudioSessionMapping(DeleteStudioSessionMappingRequest request) {
request = beforeClientExecution(request);
return executeDeleteStudioSessionMapping(request);
}
@SdkInternalApi
final DeleteStudioSessionMappingResult executeDeleteStudioSessionMapping(DeleteStudioSessionMappingRequest deleteStudioSessionMappingRequest) {
ExecutionContext executionContext = createExecutionContext(deleteStudioSessionMappingRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DeleteStudioSessionMappingRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(deleteStudioSessionMappingRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteStudioSessionMapping");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new DeleteStudioSessionMappingResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
*
*
* @param describeClusterRequest
* This input determines which cluster to describe.
* @return Result of the DescribeCluster operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeCluster
* @see AWS API Documentation
*/
@Override
public DescribeClusterResult describeCluster(DescribeClusterRequest request) {
request = beforeClientExecution(request);
return executeDescribeCluster(request);
}
@SdkInternalApi
final DescribeClusterResult executeDescribeCluster(DescribeClusterRequest describeClusterRequest) {
ExecutionContext executionContext = createExecutionContext(describeClusterRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeClusterRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeClusterRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeCluster");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeClusterResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* This API is no longer supported and will eventually be removed. We recommend you use ListClusters,
* DescribeCluster, ListSteps, ListInstanceGroups and ListBootstrapActions instead.
*
*
* DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can
* include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.
*
*
* Regardless of supplied parameters, only job flows created within the last two months are returned.
*
*
* If no parameters are supplied, then job flows matching either of the following criteria are returned:
*
*
* -
*
* Job flows created and completed in the last two weeks
*
*
* -
*
* Job flows created within the last two months that are in one of the following states: RUNNING,
* WAITING, SHUTTING_DOWN, STARTING
*
*
*
*
* Amazon EMR can return a maximum of 512 job flow descriptions.
*
*
* @param describeJobFlowsRequest
* The input for the DescribeJobFlows operation.
* @return Result of the DescribeJobFlows operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.DescribeJobFlows
* @see AWS API Documentation
*/
@Override
@Deprecated
public DescribeJobFlowsResult describeJobFlows(DescribeJobFlowsRequest request) {
request = beforeClientExecution(request);
return executeDescribeJobFlows(request);
}
@SdkInternalApi
final DescribeJobFlowsResult executeDescribeJobFlows(DescribeJobFlowsRequest describeJobFlowsRequest) {
ExecutionContext executionContext = createExecutionContext(describeJobFlowsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeJobFlowsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeJobFlowsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeJobFlows");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeJobFlowsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
@Override
@Deprecated
public DescribeJobFlowsResult describeJobFlows() {
return describeJobFlows(new DescribeJobFlowsRequest());
}
/**
*
* Provides details of a notebook execution.
*
*
* @param describeNotebookExecutionRequest
* @return Result of the DescribeNotebookExecution operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeNotebookExecution
* @see AWS API Documentation
*/
@Override
public DescribeNotebookExecutionResult describeNotebookExecution(DescribeNotebookExecutionRequest request) {
request = beforeClientExecution(request);
return executeDescribeNotebookExecution(request);
}
@SdkInternalApi
final DescribeNotebookExecutionResult executeDescribeNotebookExecution(DescribeNotebookExecutionRequest describeNotebookExecutionRequest) {
ExecutionContext executionContext = createExecutionContext(describeNotebookExecutionRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeNotebookExecutionRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(describeNotebookExecutionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeNotebookExecution");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new DescribeNotebookExecutionResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides EMR release label details, such as releases available the region where the API request is run, and the
* available applications for a specific EMR release label. Can also list EMR release versions that support a
* specified version of Spark.
*
*
* @param describeReleaseLabelRequest
* @return Result of the DescribeReleaseLabel operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeReleaseLabel
* @see AWS API Documentation
*/
@Override
public DescribeReleaseLabelResult describeReleaseLabel(DescribeReleaseLabelRequest request) {
request = beforeClientExecution(request);
return executeDescribeReleaseLabel(request);
}
@SdkInternalApi
final DescribeReleaseLabelResult executeDescribeReleaseLabel(DescribeReleaseLabelRequest describeReleaseLabelRequest) {
ExecutionContext executionContext = createExecutionContext(describeReleaseLabelRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeReleaseLabelRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeReleaseLabelRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeReleaseLabel");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeReleaseLabelResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides the details of a security configuration by returning the configuration JSON.
*
*
* @param describeSecurityConfigurationRequest
* @return Result of the DescribeSecurityConfiguration operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeSecurityConfiguration
* @see AWS API Documentation
*/
@Override
public DescribeSecurityConfigurationResult describeSecurityConfiguration(DescribeSecurityConfigurationRequest request) {
request = beforeClientExecution(request);
return executeDescribeSecurityConfiguration(request);
}
@SdkInternalApi
final DescribeSecurityConfigurationResult executeDescribeSecurityConfiguration(DescribeSecurityConfigurationRequest describeSecurityConfigurationRequest) {
ExecutionContext executionContext = createExecutionContext(describeSecurityConfigurationRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeSecurityConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(describeSecurityConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeSecurityConfiguration");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new DescribeSecurityConfigurationResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides more detail about the cluster step.
*
*
* @param describeStepRequest
* This input determines which step to describe.
* @return Result of the DescribeStep operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeStep
* @see AWS
* API Documentation
*/
@Override
public DescribeStepResult describeStep(DescribeStepRequest request) {
request = beforeClientExecution(request);
return executeDescribeStep(request);
}
@SdkInternalApi
final DescribeStepResult executeDescribeStep(DescribeStepRequest describeStepRequest) {
ExecutionContext executionContext = createExecutionContext(describeStepRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeStepRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeStepRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeStep");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeStepResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
*
*
* @param describeStudioRequest
* @return Result of the DescribeStudio operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeStudio
* @see AWS API Documentation
*/
@Override
public DescribeStudioResult describeStudio(DescribeStudioRequest request) {
request = beforeClientExecution(request);
return executeDescribeStudio(request);
}
@SdkInternalApi
final DescribeStudioResult executeDescribeStudio(DescribeStudioRequest describeStudioRequest) {
ExecutionContext executionContext = createExecutionContext(describeStudioRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeStudioRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeStudioRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeStudio");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeStudioResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns the auto-termination policy for an Amazon EMR cluster.
*
*
* @param getAutoTerminationPolicyRequest
* @return Result of the GetAutoTerminationPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.GetAutoTerminationPolicy
* @see AWS API Documentation
*/
@Override
public GetAutoTerminationPolicyResult getAutoTerminationPolicy(GetAutoTerminationPolicyRequest request) {
request = beforeClientExecution(request);
return executeGetAutoTerminationPolicy(request);
}
@SdkInternalApi
final GetAutoTerminationPolicyResult executeGetAutoTerminationPolicy(GetAutoTerminationPolicyRequest getAutoTerminationPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(getAutoTerminationPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetAutoTerminationPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(getAutoTerminationPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetAutoTerminationPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new GetAutoTerminationPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current
* Region. For more information see Configure Block
* Public Access for Amazon EMR in the Amazon EMR Management Guide.
*
*
* @param getBlockPublicAccessConfigurationRequest
* @return Result of the GetBlockPublicAccessConfiguration operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.GetBlockPublicAccessConfiguration
* @see AWS API Documentation
*/
@Override
public GetBlockPublicAccessConfigurationResult getBlockPublicAccessConfiguration(GetBlockPublicAccessConfigurationRequest request) {
request = beforeClientExecution(request);
return executeGetBlockPublicAccessConfiguration(request);
}
@SdkInternalApi
final GetBlockPublicAccessConfigurationResult executeGetBlockPublicAccessConfiguration(
GetBlockPublicAccessConfigurationRequest getBlockPublicAccessConfigurationRequest) {
ExecutionContext executionContext = createExecutionContext(getBlockPublicAccessConfigurationRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetBlockPublicAccessConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(getBlockPublicAccessConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetBlockPublicAccessConfiguration");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new GetBlockPublicAccessConfigurationResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Fetches the attached managed scaling policy for an Amazon EMR cluster.
*
*
* @param getManagedScalingPolicyRequest
* @return Result of the GetManagedScalingPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.GetManagedScalingPolicy
* @see AWS API Documentation
*/
@Override
public GetManagedScalingPolicyResult getManagedScalingPolicy(GetManagedScalingPolicyRequest request) {
request = beforeClientExecution(request);
return executeGetManagedScalingPolicy(request);
}
@SdkInternalApi
final GetManagedScalingPolicyResult executeGetManagedScalingPolicy(GetManagedScalingPolicyRequest getManagedScalingPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(getManagedScalingPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetManagedScalingPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(getManagedScalingPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetManagedScalingPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new GetManagedScalingPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Fetches mapping details for the specified Amazon EMR Studio and identity (user or group).
*
*
* @param getStudioSessionMappingRequest
* @return Result of the GetStudioSessionMapping operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.GetStudioSessionMapping
* @see AWS API Documentation
*/
@Override
public GetStudioSessionMappingResult getStudioSessionMapping(GetStudioSessionMappingRequest request) {
request = beforeClientExecution(request);
return executeGetStudioSessionMapping(request);
}
@SdkInternalApi
final GetStudioSessionMappingResult executeGetStudioSessionMapping(GetStudioSessionMappingRequest getStudioSessionMappingRequest) {
ExecutionContext executionContext = createExecutionContext(getStudioSessionMappingRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetStudioSessionMappingRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(getStudioSessionMappingRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetStudioSessionMapping");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new GetStudioSessionMappingResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides information about the bootstrap actions associated with a cluster.
*
*
* @param listBootstrapActionsRequest
* This input determines which bootstrap actions to retrieve.
* @return Result of the ListBootstrapActions operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListBootstrapActions
* @see AWS API Documentation
*/
@Override
public ListBootstrapActionsResult listBootstrapActions(ListBootstrapActionsRequest request) {
request = beforeClientExecution(request);
return executeListBootstrapActions(request);
}
@SdkInternalApi
final ListBootstrapActionsResult executeListBootstrapActions(ListBootstrapActionsRequest listBootstrapActionsRequest) {
ExecutionContext executionContext = createExecutionContext(listBootstrapActionsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListBootstrapActionsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listBootstrapActionsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListBootstrapActions");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListBootstrapActionsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides the status of all clusters visible to this Amazon Web Services account. Allows you to filter the list of
* clusters based on certain criteria; for example, filtering by cluster creation date and time or by status. This
* call returns a maximum of 50 clusters in unsorted order per call, but returns a marker to track the paging of the
* cluster list across multiple ListClusters calls.
*
*
* @param listClustersRequest
* This input determines how the ListClusters action filters the list of clusters that it returns.
* @return Result of the ListClusters operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListClusters
* @see AWS
* API Documentation
*/
@Override
public ListClustersResult listClusters(ListClustersRequest request) {
request = beforeClientExecution(request);
return executeListClusters(request);
}
@SdkInternalApi
final ListClustersResult executeListClusters(ListClustersRequest listClustersRequest) {
ExecutionContext executionContext = createExecutionContext(listClustersRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListClustersRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listClustersRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListClusters");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListClustersResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
@Override
public ListClustersResult listClusters() {
return listClusters(new ListClustersRequest());
}
/**
*
* Lists all available details about the instance fleets in a cluster.
*
*
*
* The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x
* versions.
*
*
*
* @param listInstanceFleetsRequest
* @return Result of the ListInstanceFleets operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListInstanceFleets
* @see AWS API Documentation
*/
@Override
public ListInstanceFleetsResult listInstanceFleets(ListInstanceFleetsRequest request) {
request = beforeClientExecution(request);
return executeListInstanceFleets(request);
}
@SdkInternalApi
final ListInstanceFleetsResult executeListInstanceFleets(ListInstanceFleetsRequest listInstanceFleetsRequest) {
ExecutionContext executionContext = createExecutionContext(listInstanceFleetsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListInstanceFleetsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listInstanceFleetsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListInstanceFleets");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListInstanceFleetsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides all available details about the instance groups in a cluster.
*
*
* @param listInstanceGroupsRequest
* This input determines which instance groups to retrieve.
* @return Result of the ListInstanceGroups operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListInstanceGroups
* @see AWS API Documentation
*/
@Override
public ListInstanceGroupsResult listInstanceGroups(ListInstanceGroupsRequest request) {
request = beforeClientExecution(request);
return executeListInstanceGroups(request);
}
@SdkInternalApi
final ListInstanceGroupsResult executeListInstanceGroups(ListInstanceGroupsRequest listInstanceGroupsRequest) {
ExecutionContext executionContext = createExecutionContext(listInstanceGroupsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListInstanceGroupsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listInstanceGroupsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListInstanceGroups");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListInstanceGroupsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides information for all active EC2 instances and EC2 instances terminated in the last 30 days, up to a
* maximum of 2,000. EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT,
* PROVISIONING, BOOTSTRAPPING, RUNNING.
*
*
* @param listInstancesRequest
* This input determines which instances to list.
* @return Result of the ListInstances operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListInstances
* @see AWS
* API Documentation
*/
@Override
public ListInstancesResult listInstances(ListInstancesRequest request) {
request = beforeClientExecution(request);
return executeListInstances(request);
}
@SdkInternalApi
final ListInstancesResult executeListInstances(ListInstancesRequest listInstancesRequest) {
ExecutionContext executionContext = createExecutionContext(listInstancesRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListInstancesRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listInstancesRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListInstances");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListInstancesResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status,
* time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a
* longer notebook execution list across multiple ListNotebookExecution calls.
*
*
* @param listNotebookExecutionsRequest
* @return Result of the ListNotebookExecutions operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListNotebookExecutions
* @see AWS API Documentation
*/
@Override
public ListNotebookExecutionsResult listNotebookExecutions(ListNotebookExecutionsRequest request) {
request = beforeClientExecution(request);
return executeListNotebookExecutions(request);
}
@SdkInternalApi
final ListNotebookExecutionsResult executeListNotebookExecutions(ListNotebookExecutionsRequest listNotebookExecutionsRequest) {
ExecutionContext executionContext = createExecutionContext(listNotebookExecutionsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListNotebookExecutionsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listNotebookExecutionsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListNotebookExecutions");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new ListNotebookExecutionsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Retrieves release labels of EMR services in the region where the API is called.
*
*
* @param listReleaseLabelsRequest
* @return Result of the ListReleaseLabels operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListReleaseLabels
* @see AWS API Documentation
*/
@Override
public ListReleaseLabelsResult listReleaseLabels(ListReleaseLabelsRequest request) {
request = beforeClientExecution(request);
return executeListReleaseLabels(request);
}
@SdkInternalApi
final ListReleaseLabelsResult executeListReleaseLabels(ListReleaseLabelsRequest listReleaseLabelsRequest) {
ExecutionContext executionContext = createExecutionContext(listReleaseLabelsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListReleaseLabelsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listReleaseLabelsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListReleaseLabels");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListReleaseLabelsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Lists all the security configurations visible to this account, providing their creation dates and times, and
* their names. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the
* cluster list across multiple ListSecurityConfigurations calls.
*
*
* @param listSecurityConfigurationsRequest
* @return Result of the ListSecurityConfigurations operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListSecurityConfigurations
* @see AWS API Documentation
*/
@Override
public ListSecurityConfigurationsResult listSecurityConfigurations(ListSecurityConfigurationsRequest request) {
request = beforeClientExecution(request);
return executeListSecurityConfigurations(request);
}
@SdkInternalApi
final ListSecurityConfigurationsResult executeListSecurityConfigurations(ListSecurityConfigurationsRequest listSecurityConfigurationsRequest) {
ExecutionContext executionContext = createExecutionContext(listSecurityConfigurationsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListSecurityConfigurationsRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(listSecurityConfigurationsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListSecurityConfigurations");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new ListSecurityConfigurationsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Provides a list of steps for the cluster in reverse order unless you specify stepIds with the
* request or filter by StepStates. You can specify a maximum of 10 stepIDs. The CLI
* automatically paginates results to return a list greater than 50 steps. To return more than 50 steps using the
* CLI, specify a Marker, which is a pagination token that indicates the next set of steps to retrieve.
*
*
* @param listStepsRequest
* This input determines which steps to list.
* @return Result of the ListSteps operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListSteps
* @see AWS API
* Documentation
*/
@Override
public ListStepsResult listSteps(ListStepsRequest request) {
request = beforeClientExecution(request);
return executeListSteps(request);
}
@SdkInternalApi
final ListStepsResult executeListSteps(ListStepsRequest listStepsRequest) {
ExecutionContext executionContext = createExecutionContext(listStepsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListStepsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listStepsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListSteps");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(new JsonOperationMetadata()
.withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListStepsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
* .
*
*
* @param listStudioSessionMappingsRequest
* @return Result of the ListStudioSessionMappings operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListStudioSessionMappings
* @see AWS API Documentation
*/
@Override
public ListStudioSessionMappingsResult listStudioSessionMappings(ListStudioSessionMappingsRequest request) {
request = beforeClientExecution(request);
return executeListStudioSessionMappings(request);
}
@SdkInternalApi
final ListStudioSessionMappingsResult executeListStudioSessionMappings(ListStudioSessionMappingsRequest listStudioSessionMappingsRequest) {
ExecutionContext executionContext = createExecutionContext(listStudioSessionMappingsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListStudioSessionMappingsRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(listStudioSessionMappingsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListStudioSessionMappings");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new ListStudioSessionMappingsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account. The list includes
* details such as ID, Studio Access URL, and creation time for each Studio.
*
*
* @param listStudiosRequest
* @return Result of the ListStudios operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListStudios
* @see AWS
* API Documentation
*/
@Override
public ListStudiosResult listStudios(ListStudiosRequest request) {
request = beforeClientExecution(request);
return executeListStudios(request);
}
@SdkInternalApi
final ListStudiosResult executeListStudios(ListStudiosRequest listStudiosRequest) {
ExecutionContext executionContext = createExecutionContext(listStudiosRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListStudiosRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listStudiosRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListStudios");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListStudiosResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
*
*
* @param modifyClusterRequest
* @return Result of the ModifyCluster operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ModifyCluster
* @see AWS
* API Documentation
*/
@Override
public ModifyClusterResult modifyCluster(ModifyClusterRequest request) {
request = beforeClientExecution(request);
return executeModifyCluster(request);
}
@SdkInternalApi
final ModifyClusterResult executeModifyCluster(ModifyClusterRequest modifyClusterRequest) {
ExecutionContext executionContext = createExecutionContext(modifyClusterRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ModifyClusterRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(modifyClusterRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ModifyCluster");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ModifyClusterResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified
* InstanceFleetID within the cluster specified using ClusterID. The call either succeeds or fails atomically.
*
*
*
* The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x
* versions.
*
*
*
* @param modifyInstanceFleetRequest
* @return Result of the ModifyInstanceFleet operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ModifyInstanceFleet
* @see AWS API Documentation
*/
@Override
public ModifyInstanceFleetResult modifyInstanceFleet(ModifyInstanceFleetRequest request) {
request = beforeClientExecution(request);
return executeModifyInstanceFleet(request);
}
@SdkInternalApi
final ModifyInstanceFleetResult executeModifyInstanceFleet(ModifyInstanceFleetRequest modifyInstanceFleetRequest) {
ExecutionContext executionContext = createExecutionContext(modifyInstanceFleetRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ModifyInstanceFleetRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(modifyInstanceFleetRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ModifyInstanceFleet");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ModifyInstanceFleetResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group. The input
* parameters include the new target instance count for the group and the instance group ID. The call will either
* succeed or fail atomically.
*
*
* @param modifyInstanceGroupsRequest
* Change the size of some instance groups.
* @return Result of the ModifyInstanceGroups operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.ModifyInstanceGroups
* @see AWS API Documentation
*/
@Override
public ModifyInstanceGroupsResult modifyInstanceGroups(ModifyInstanceGroupsRequest request) {
request = beforeClientExecution(request);
return executeModifyInstanceGroups(request);
}
@SdkInternalApi
final ModifyInstanceGroupsResult executeModifyInstanceGroups(ModifyInstanceGroupsRequest modifyInstanceGroupsRequest) {
ExecutionContext executionContext = createExecutionContext(modifyInstanceGroupsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ModifyInstanceGroupsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(modifyInstanceGroupsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ModifyInstanceGroups");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ModifyInstanceGroupsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
@Override
public ModifyInstanceGroupsResult modifyInstanceGroups() {
return modifyInstanceGroups(new ModifyInstanceGroupsRequest());
}
/**
*
* Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR
* cluster. The automatic scaling policy defines how an instance group dynamically adds and terminates EC2 instances
* in response to the value of a CloudWatch metric.
*
*
* @param putAutoScalingPolicyRequest
* @return Result of the PutAutoScalingPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.PutAutoScalingPolicy
* @see AWS API Documentation
*/
@Override
public PutAutoScalingPolicyResult putAutoScalingPolicy(PutAutoScalingPolicyRequest request) {
request = beforeClientExecution(request);
return executePutAutoScalingPolicy(request);
}
@SdkInternalApi
final PutAutoScalingPolicyResult executePutAutoScalingPolicy(PutAutoScalingPolicyRequest putAutoScalingPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(putAutoScalingPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new PutAutoScalingPolicyRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(putAutoScalingPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "PutAutoScalingPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new PutAutoScalingPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
*
* Auto-termination is supported in Amazon EMR versions 5.30.0 and 6.1.0 and later. For more information, see Using an
* auto-termination policy.
*
*
*
* Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the
* amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster
* termination options, see Control cluster
* termination.
*
*
* @param putAutoTerminationPolicyRequest
* @return Result of the PutAutoTerminationPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.PutAutoTerminationPolicy
* @see AWS API Documentation
*/
@Override
public PutAutoTerminationPolicyResult putAutoTerminationPolicy(PutAutoTerminationPolicyRequest request) {
request = beforeClientExecution(request);
return executePutAutoTerminationPolicy(request);
}
@SdkInternalApi
final PutAutoTerminationPolicyResult executePutAutoTerminationPolicy(PutAutoTerminationPolicyRequest putAutoTerminationPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(putAutoTerminationPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new PutAutoTerminationPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(putAutoTerminationPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "PutAutoTerminationPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new PutAutoTerminationPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the
* current Region. For more information see Configure Block
* Public Access for Amazon EMR in the Amazon EMR Management Guide.
*
*
* @param putBlockPublicAccessConfigurationRequest
* @return Result of the PutBlockPublicAccessConfiguration operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.PutBlockPublicAccessConfiguration
* @see AWS API Documentation
*/
@Override
public PutBlockPublicAccessConfigurationResult putBlockPublicAccessConfiguration(PutBlockPublicAccessConfigurationRequest request) {
request = beforeClientExecution(request);
return executePutBlockPublicAccessConfiguration(request);
}
@SdkInternalApi
final PutBlockPublicAccessConfigurationResult executePutBlockPublicAccessConfiguration(
PutBlockPublicAccessConfigurationRequest putBlockPublicAccessConfigurationRequest) {
ExecutionContext executionContext = createExecutionContext(putBlockPublicAccessConfigurationRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new PutBlockPublicAccessConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(putBlockPublicAccessConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "PutBlockPublicAccessConfiguration");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new PutBlockPublicAccessConfigurationResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Creates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the
* limits for resources, such as EC2 instances that can be added or terminated from a cluster. The policy only
* applies to the core and task nodes. The master node cannot be scaled after initial configuration.
*
*
* @param putManagedScalingPolicyRequest
* @return Result of the PutManagedScalingPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.PutManagedScalingPolicy
* @see AWS API Documentation
*/
@Override
public PutManagedScalingPolicyResult putManagedScalingPolicy(PutManagedScalingPolicyRequest request) {
request = beforeClientExecution(request);
return executePutManagedScalingPolicy(request);
}
@SdkInternalApi
final PutManagedScalingPolicyResult executePutManagedScalingPolicy(PutManagedScalingPolicyRequest putManagedScalingPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(putManagedScalingPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new PutManagedScalingPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(putManagedScalingPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "PutManagedScalingPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new PutManagedScalingPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Removes an automatic scaling policy from a specified instance group within an EMR cluster.
*
*
* @param removeAutoScalingPolicyRequest
* @return Result of the RemoveAutoScalingPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.RemoveAutoScalingPolicy
* @see AWS API Documentation
*/
@Override
public RemoveAutoScalingPolicyResult removeAutoScalingPolicy(RemoveAutoScalingPolicyRequest request) {
request = beforeClientExecution(request);
return executeRemoveAutoScalingPolicy(request);
}
@SdkInternalApi
final RemoveAutoScalingPolicyResult executeRemoveAutoScalingPolicy(RemoveAutoScalingPolicyRequest removeAutoScalingPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(removeAutoScalingPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new RemoveAutoScalingPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(removeAutoScalingPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "RemoveAutoScalingPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new RemoveAutoScalingPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Removes an auto-termination policy from an Amazon EMR cluster.
*
*
* @param removeAutoTerminationPolicyRequest
* @return Result of the RemoveAutoTerminationPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.RemoveAutoTerminationPolicy
* @see AWS API Documentation
*/
@Override
public RemoveAutoTerminationPolicyResult removeAutoTerminationPolicy(RemoveAutoTerminationPolicyRequest request) {
request = beforeClientExecution(request);
return executeRemoveAutoTerminationPolicy(request);
}
@SdkInternalApi
final RemoveAutoTerminationPolicyResult executeRemoveAutoTerminationPolicy(RemoveAutoTerminationPolicyRequest removeAutoTerminationPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(removeAutoTerminationPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new RemoveAutoTerminationPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(removeAutoTerminationPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "RemoveAutoTerminationPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new RemoveAutoTerminationPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Removes a managed scaling policy from a specified EMR cluster.
*
*
* @param removeManagedScalingPolicyRequest
* @return Result of the RemoveManagedScalingPolicy operation returned by the service.
* @sample AmazonElasticMapReduce.RemoveManagedScalingPolicy
* @see AWS API Documentation
*/
@Override
public RemoveManagedScalingPolicyResult removeManagedScalingPolicy(RemoveManagedScalingPolicyRequest request) {
request = beforeClientExecution(request);
return executeRemoveManagedScalingPolicy(request);
}
@SdkInternalApi
final RemoveManagedScalingPolicyResult executeRemoveManagedScalingPolicy(RemoveManagedScalingPolicyRequest removeManagedScalingPolicyRequest) {
ExecutionContext executionContext = createExecutionContext(removeManagedScalingPolicyRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new RemoveManagedScalingPolicyRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(removeManagedScalingPolicyRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "RemoveManagedScalingPolicy");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new RemoveManagedScalingPolicyResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio. Tags make it easier to
* associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation
* costs. For more information, see Tag Clusters.
*
*
* The following example removes the stack tag with value Prod from a cluster:
*
*
* @param removeTagsRequest
* This input identifies an Amazon EMR resource and a list of tags to remove.
* @return Result of the RemoveTags operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.RemoveTags
* @see AWS
* API Documentation
*/
@Override
public RemoveTagsResult removeTags(RemoveTagsRequest request) {
request = beforeClientExecution(request);
return executeRemoveTags(request);
}
@SdkInternalApi
final RemoveTagsResult executeRemoveTags(RemoveTagsRequest removeTagsRequest) {
ExecutionContext executionContext = createExecutionContext(removeTagsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new RemoveTagsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(removeTagsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "RemoveTags");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(new JsonOperationMetadata()
.withPayloadJson(true).withHasStreamingSuccessResponse(false), new RemoveTagsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* RunJobFlow creates and starts running a new cluster (job flow). The cluster runs the steps specified. After the
* steps complete, the cluster stops and the HDFS partition is lost. To prevent loss of data, configure the last
* step of the job flow to store results in Amazon S3. If the JobFlowInstancesConfig
* KeepJobFlowAliveWhenNoSteps parameter is set to TRUE, the cluster transitions to the
* WAITING state rather than shutting down after the steps have completed.
*
*
* For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
* parameter to TRUE to lock the cluster and prevent it from being terminated by API call, user
* intervention, or in the event of a job flow error.
*
*
* A maximum of 256 steps are allowed in each job flow.
*
*
* If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps
* to process your data. You can bypass the 256-step limitation in various ways, including using the SSH shell to
* connect to the master node and submitting queries directly to the software running on the master node, such as
* Hive and Hadoop. For more information on how to do this, see Add More than 256 Steps to
* a Cluster in the Amazon EMR Management Guide.
*
*
* For long running clusters, we recommend that you periodically store your results.
*
*
*
* The instance fleets configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x
* versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not
* both.
*
*
*
* @param runJobFlowRequest
* Input to the RunJobFlow operation.
* @return Result of the RunJobFlow operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.RunJobFlow
* @see AWS
* API Documentation
*/
@Override
public RunJobFlowResult runJobFlow(RunJobFlowRequest request) {
request = beforeClientExecution(request);
return executeRunJobFlow(request);
}
@SdkInternalApi
final RunJobFlowResult executeRunJobFlow(RunJobFlowRequest runJobFlowRequest) {
ExecutionContext executionContext = createExecutionContext(runJobFlowRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new RunJobFlowRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(runJobFlowRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "RunJobFlow");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(new JsonOperationMetadata()
.withPayloadJson(true).withHasStreamingSuccessResponse(false), new RunJobFlowResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* SetTerminationProtection locks a cluster (job flow) so the EC2 instances in the cluster cannot be terminated by
* user intervention, an API call, or in the event of a job-flow error. The cluster still terminates upon successful
* completion of the job flow. Calling SetTerminationProtection on a cluster is similar to calling the
* Amazon EC2 DisableAPITermination API on all EC2 instances in a cluster.
*
*
* SetTerminationProtection is used to prevent accidental termination of a cluster and to ensure that
* in the event of an error, the instances persist so that you can recover any data stored in their ephemeral
* instance storage.
*
*
* To terminate a cluster that has been locked by setting SetTerminationProtection to true
* , you must first unlock the job flow by a subsequent call to SetTerminationProtection in which you
* set the value to false.
*
*
* For more information, seeManaging
* Cluster Termination in the Amazon EMR Management Guide.
*
*
* @param setTerminationProtectionRequest
* The input argument to the TerminationProtection operation.
* @return Result of the SetTerminationProtection operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.SetTerminationProtection
* @see AWS API Documentation
*/
@Override
public SetTerminationProtectionResult setTerminationProtection(SetTerminationProtectionRequest request) {
request = beforeClientExecution(request);
return executeSetTerminationProtection(request);
}
@SdkInternalApi
final SetTerminationProtectionResult executeSetTerminationProtection(SetTerminationProtectionRequest setTerminationProtectionRequest) {
ExecutionContext executionContext = createExecutionContext(setTerminationProtectionRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new SetTerminationProtectionRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(setTerminationProtectionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "SetTerminationProtection");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new SetTerminationProtectionResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
*
* The SetVisibleToAllUsers parameter is no longer supported. Your cluster may be visible to all users in your
* account. To restrict cluster access using an IAM policy, see Identity and Access
* Management for EMR.
*
*
*
* Sets the Cluster$VisibleToAllUsers value for an EMR cluster. When true, IAM principals in the
* Amazon Web Services account can perform EMR cluster actions that their IAM policies allow. When
* false, only the IAM principal that created the cluster and the Amazon Web Services account root user
* can perform EMR actions on the cluster, regardless of IAM permissions policies attached to other IAM principals.
*
*
* This action works on running clusters. When you create a cluster, use the
* RunJobFlowInput$VisibleToAllUsers parameter.
*
*
* For more information, see Understanding the EMR Cluster VisibleToAllUsers Setting in the Amazon EMRManagement Guide.
*
*
* @param setVisibleToAllUsersRequest
* The input to the SetVisibleToAllUsers action.
* @return Result of the SetVisibleToAllUsers operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.SetVisibleToAllUsers
* @see AWS API Documentation
*/
@Override
public SetVisibleToAllUsersResult setVisibleToAllUsers(SetVisibleToAllUsersRequest request) {
request = beforeClientExecution(request);
return executeSetVisibleToAllUsers(request);
}
@SdkInternalApi
final SetVisibleToAllUsersResult executeSetVisibleToAllUsers(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest) {
ExecutionContext executionContext = createExecutionContext(setVisibleToAllUsersRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new SetVisibleToAllUsersRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(setVisibleToAllUsersRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "SetVisibleToAllUsers");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new SetVisibleToAllUsersResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Starts a notebook execution.
*
*
* @param startNotebookExecutionRequest
* @return Result of the StartNotebookExecution operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.StartNotebookExecution
* @see AWS API Documentation
*/
@Override
public StartNotebookExecutionResult startNotebookExecution(StartNotebookExecutionRequest request) {
request = beforeClientExecution(request);
return executeStartNotebookExecution(request);
}
@SdkInternalApi
final StartNotebookExecutionResult executeStartNotebookExecution(StartNotebookExecutionRequest startNotebookExecutionRequest) {
ExecutionContext executionContext = createExecutionContext(startNotebookExecutionRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new StartNotebookExecutionRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(startNotebookExecutionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StartNotebookExecution");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new StartNotebookExecutionResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Stops a notebook execution.
*
*
* @param stopNotebookExecutionRequest
* @return Result of the StopNotebookExecution operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.StopNotebookExecution
* @see AWS API Documentation
*/
@Override
public StopNotebookExecutionResult stopNotebookExecution(StopNotebookExecutionRequest request) {
request = beforeClientExecution(request);
return executeStopNotebookExecution(request);
}
@SdkInternalApi
final StopNotebookExecutionResult executeStopNotebookExecution(StopNotebookExecutionRequest stopNotebookExecutionRequest) {
ExecutionContext executionContext = createExecutionContext(stopNotebookExecutionRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new StopNotebookExecutionRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(stopNotebookExecutionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StopNotebookExecution");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory
.createResponseHandler(new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new StopNotebookExecutionResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* TerminateJobFlows shuts a list of clusters (job flows) down. When a job flow is shut down, any step not yet
* completed is canceled and the EC2 instances on which the cluster is running are stopped. Any log files not
* already saved are uploaded to Amazon S3 if a LogUri was specified when the cluster was created.
*
*
* The maximum number of clusters allowed is 10. The call to TerminateJobFlows is asynchronous.
* Depending on the configuration of the cluster, it may take up to 1-5 minutes for the cluster to completely
* terminate and release allocated resources, such as Amazon EC2 instances.
*
*
* @param terminateJobFlowsRequest
* Input to the TerminateJobFlows operation.
* @return Result of the TerminateJobFlows operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @sample AmazonElasticMapReduce.TerminateJobFlows
* @see AWS API Documentation
*/
@Override
public TerminateJobFlowsResult terminateJobFlows(TerminateJobFlowsRequest request) {
request = beforeClientExecution(request);
return executeTerminateJobFlows(request);
}
@SdkInternalApi
final TerminateJobFlowsResult executeTerminateJobFlows(TerminateJobFlowsRequest terminateJobFlowsRequest) {
ExecutionContext executionContext = createExecutionContext(terminateJobFlowsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new TerminateJobFlowsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(terminateJobFlowsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "TerminateJobFlows");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new TerminateJobFlowsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
*
*
* @param updateStudioRequest
* @return Result of the UpdateStudio operation returned by the service.
* @throws InternalServerException
* This exception occurs when there is an internal failure in the Amazon EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.UpdateStudio
* @see AWS
* API Documentation
*/
@Override
public UpdateStudioResult updateStudio(UpdateStudioRequest request) {
request = beforeClientExecution(request);
return executeUpdateStudio(request);
}
@SdkInternalApi
final UpdateStudioResult executeUpdateStudio(UpdateStudioRequest updateStudioRequest) {
ExecutionContext executionContext = createExecutionContext(updateStudioRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new UpdateStudioRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(updateStudioRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "UpdateStudio");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new UpdateStudioResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Updates the session policy attached to the user or group for the specified Amazon EMR Studio.
*
*
* @param updateStudioSessionMappingRequest
* @return Result of the UpdateStudioSessionMapping operation returned by the service.
* @throws InternalServerErrorException
* Indicates that an error occurred while processing the request and that the request was not completed.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.UpdateStudioSessionMapping
* @see AWS API Documentation
*/
@Override
public UpdateStudioSessionMappingResult updateStudioSessionMapping(UpdateStudioSessionMappingRequest request) {
request = beforeClientExecution(request);
return executeUpdateStudioSessionMapping(request);
}
@SdkInternalApi
final UpdateStudioSessionMappingResult executeUpdateStudioSessionMapping(UpdateStudioSessionMappingRequest updateStudioSessionMappingRequest) {
ExecutionContext executionContext = createExecutionContext(updateStudioSessionMappingRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new UpdateStudioSessionMappingRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(updateStudioSessionMappingRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "EMR");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "UpdateStudioSessionMapping");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new UpdateStudioSessionMappingResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
* Returns additional metadata for a previously executed successful, request, typically used for debugging issues
* where a service isn't acting as expected. This data isn't considered part of the result data returned by an
* operation, so it's available through this separate, diagnostic interface.
*
* Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic
* information for an executed request, you should use this method to retrieve it as soon as possible after
* executing the request.
*
* @param request
* The originally executed request
*
* @return The response metadata for the specified request, or null if none is available.
*/
public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request) {
return client.getResponseMetadataForRequest(request);
}
/**
* Normal invoke with authentication. Credentials are required and may be overriden at the request level.
**/
private Response invoke(Request request, HttpResponseHandler> responseHandler,
ExecutionContext executionContext) {
return invoke(request, responseHandler, executionContext, null, null);
}
/**
* Normal invoke with authentication. Credentials are required and may be overriden at the request level.
**/
private Response invoke(Request request, HttpResponseHandler> responseHandler,
ExecutionContext executionContext, URI cachedEndpoint, URI uriFromEndpointTrait) {
executionContext.setCredentialsProvider(CredentialUtils.getCredentialsProvider(request.getOriginalRequest(), awsCredentialsProvider));
return doInvoke(request, responseHandler, executionContext, cachedEndpoint, uriFromEndpointTrait);
}
/**
* Invoke with no authentication. Credentials are not required and any credentials set on the client or request will
* be ignored for this operation.
**/
private Response anonymousInvoke(Request request,
HttpResponseHandler> responseHandler, ExecutionContext executionContext) {
return doInvoke(request, responseHandler, executionContext, null, null);
}
/**
* Invoke the request using the http client. Assumes credentials (or lack thereof) have been configured in the
* ExecutionContext beforehand.
**/
private Response doInvoke(Request request, HttpResponseHandler> responseHandler,
ExecutionContext executionContext, URI discoveredEndpoint, URI uriFromEndpointTrait) {
if (discoveredEndpoint != null) {
request.setEndpoint(discoveredEndpoint);
request.getOriginalRequest().getRequestClientOptions().appendUserAgent("endpoint-discovery");
} else if (uriFromEndpointTrait != null) {
request.setEndpoint(uriFromEndpointTrait);
} else {
request.setEndpoint(endpoint);
}
request.setTimeOffset(timeOffset);
HttpResponseHandler errorResponseHandler = protocolFactory.createErrorResponseHandler(new JsonErrorResponseMetadata());
return client.execute(request, responseHandler, errorResponseHandler, executionContext);
}
@com.amazonaws.annotation.SdkInternalApi
static com.amazonaws.protocol.json.SdkJsonProtocolFactory getProtocolFactory() {
return protocolFactory;
}
@Override
public AmazonElasticMapReduceWaiters waiters() {
if (waiters == null) {
synchronized (this) {
if (waiters == null) {
waiters = new AmazonElasticMapReduceWaiters(this);
}
}
}
return waiters;
}
@Override
public void shutdown() {
super.shutdown();
if (waiters != null) {
waiters.shutdown();
}
}
}
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