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/*
* Copyright 2011-2016 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 java.util.Map.Entry;
import org.apache.commons.logging.*;
import com.amazonaws.*;
import com.amazonaws.auth.*;
import com.amazonaws.auth.presign.PresignerParams;
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.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 Elastic MapReduce (Amazon EMR) is a web service that makes it easy to process large amounts of data
* efficiently. Amazon EMR uses Hadoop processing combined with several AWS products to do tasks such as web indexing,
* data mining, log file analysis, machine learning, scientific simulation, and data warehousing.
*
*/
@ThreadSafe
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 SdkJsonProtocolFactory protocolFactory = new SdkJsonProtocolFactory(new JsonClientMetadata()
.withProtocolVersion("1.1")
.withSupportsCbor(false)
.withSupportsIon(false)
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InvalidRequestException").withModeledClass(
com.amazonaws.services.elasticmapreduce.model.InvalidRequestException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InternalServerException").withModeledClass(
com.amazonaws.services.elasticmapreduce.model.InternalServerException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InternalServerError").withModeledClass(
com.amazonaws.services.elasticmapreduce.model.InternalServerErrorException.class))
.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
*/
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
*/
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.
*/
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.).
*/
public AmazonElasticMapReduceClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration) {
super(clientConfiguration);
this.awsCredentialsProvider = new StaticCredentialsProvider(awsCredentials);
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.
*/
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.).
*/
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
*/
public AmazonElasticMapReduceClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration,
RequestMetricCollector requestMetricCollector) {
super(clientConfiguration, requestMetricCollector);
this.awsCredentialsProvider = awsCredentialsProvider;
init();
}
/**
* 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) {
super(clientParams);
this.awsCredentialsProvider = clientParams.getCredentialsProvider();
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());
}
/**
*
* AddInstanceGroups adds an instance group 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
*/
@Override
public AddInstanceGroupsResult addInstanceGroups(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 AddInstanceGroupsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(addInstanceGroupsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 job flow. A maximum of 256 steps are allowed in each job flow.
*
*
* If your job flow 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, go to Add More than
* 256 Steps to a Job Flow in the Amazon Elastic MapReduce Developer's Guide.
*
*
* A step specifies the location of a JAR file stored either on the master node of the job flow 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.
*
*
* Elastic MapReduce 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 job flow that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or
* WAITING.
*
*
* @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
*/
@Override
public AddJobFlowStepsResult addJobFlowSteps(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 AddJobFlowStepsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(addJobFlowStepsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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. Tags make it easier to associate clusters in various ways, such as grouping
* clusters to track your Amazon EMR resource allocation costs. For more information, see Tagging Amazon EMR
* Resources.
*
*
* @param addTagsRequest
* This input identifies a cluster 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.AddTags
*/
@Override
public AddTagsResult addTags(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 AddTagsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(addTagsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* Creates a security configuration using EMR Security Configurations, which are stored in the service. Security
* Configurations enable you to more easily create a configuration, reuse it, and apply it whenever 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.CreateSecurityConfiguration
*/
@Override
public CreateSecurityConfigurationResult createSecurityConfiguration(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 CreateSecurityConfigurationRequestMarshaller(protocolFactory).marshall(super
.beforeMarshalling(createSecurityConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DeleteSecurityConfiguration
*/
@Override
public DeleteSecurityConfigurationResult deleteSecurityConfiguration(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 DeleteSecurityConfigurationRequestMarshaller(protocolFactory).marshall(super
.beforeMarshalling(deleteSecurityConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
* For information about the cluster steps, see ListSteps.
*
*
* @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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeCluster
*/
@Override
public DescribeClusterResult describeCluster(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 DescribeClusterRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeClusterRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 deprecated 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 Elastic MapReduce 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
*/
@Override
@Deprecated
public DescribeJobFlowsResult describeJobFlows(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 DescribeJobFlowsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeJobFlowsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeSecurityConfiguration
*/
@Override
public DescribeSecurityConfigurationResult describeSecurityConfiguration(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 DescribeSecurityConfigurationRequestMarshaller(protocolFactory).marshall(super
.beforeMarshalling(describeSecurityConfigurationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.DescribeStep
*/
@Override
public DescribeStepResult describeStep(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 DescribeStepRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeStepRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListBootstrapActions
*/
@Override
public ListBootstrapActionsResult listBootstrapActions(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 ListBootstrapActionsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(listBootstrapActionsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 AWS 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 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListClusters
*/
@Override
public ListClustersResult listClusters(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 ListClustersRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(listClustersRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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());
}
/**
*
* 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListInstanceGroups
*/
@Override
public ListInstanceGroupsResult listInstanceGroups(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 ListInstanceGroupsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(listInstanceGroupsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 about the cluster instances that Amazon EMR provisions on behalf of a user when it creates
* the cluster. For example, this operation indicates when the EC2 instances reach the Ready state, when instances
* become available to Amazon EMR to use for jobs, and the IP addresses for cluster instances, etc.
*
*
* @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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListInstances
*/
@Override
public ListInstancesResult listInstances(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 ListInstancesRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(listInstancesRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListSecurityConfigurations
*/
@Override
public ListSecurityConfigurationsResult listSecurityConfigurations(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 ListSecurityConfigurationsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(listSecurityConfigurationsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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.
*
*
* @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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.ListSteps
*/
@Override
public ListStepsResult listSteps(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 ListStepsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(listStepsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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
*/
@Override
public ModifyInstanceGroupsResult modifyInstanceGroups(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 ModifyInstanceGroupsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(modifyInstanceGroupsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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());
}
/**
*
* Removes tags from an Amazon EMR resource. Tags make it easier to associate clusters in various ways, such as
* grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tagging Amazon EMR
* Resources.
*
*
* The following example removes the stack tag with value Prod from a cluster:
*
*
* @param removeTagsRequest
* This input identifies a cluster 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 EMR service.
* @throws InvalidRequestException
* This exception occurs when there is something wrong with user input.
* @sample AmazonElasticMapReduce.RemoveTags
*/
@Override
public RemoveTagsResult removeTags(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 RemoveTagsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(removeTagsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 job flow. The job flow will run the steps specified. Once the job
* flow completes, the cluster is stopped 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 job flow will transition to
* the WAITING state rather than shutting down once the steps have completed.
*
*
* For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
* parameter to TRUE to lock the job flow 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 job flow 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, go to Add More than
* 256 Steps to a Job Flow in the Amazon Elastic MapReduce Developer's Guide.
*
*
* For long running job flows, we recommend that you periodically store your results.
*
*
* @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
*/
@Override
public RunJobFlowResult runJobFlow(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 RunJobFlowRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(runJobFlowRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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 job flow so the Amazon 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 job flow is analogous to calling the Amazon EC2
* DisableAPITermination API on all of the EC2 instances in a cluster.
*
*
* SetTerminationProtection is used to prevent accidental termination of a job flow and to ensure that in the event
* of an error, the instances will persist so you can recover any data stored in their ephemeral instance storage.
*
*
* To terminate a job flow 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, go to Protecting a Job Flow from Termination in the Amazon Elastic MapReduce Developer's 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
*/
@Override
public SetTerminationProtectionResult setTerminationProtection(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 SetTerminationProtectionRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(setTerminationProtectionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* Sets whether all AWS Identity and Access Management (IAM) users under your account can access the specified job
* flows. This action works on running job flows. You can also set the visibility of a job flow when you launch it
* using the VisibleToAllUsers parameter of RunJobFlow. The SetVisibleToAllUsers action can be
* called only by an IAM user who created the job flow or the AWS account that owns the job flow.
*
*
* @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
*/
@Override
public SetVisibleToAllUsersResult setVisibleToAllUsers(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 SetVisibleToAllUsersRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(setVisibleToAllUsersRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* TerminateJobFlows shuts a list of job flows down. When a job flow is shut down, any step not yet completed is
* canceled and the EC2 instances on which the job flow is running are stopped. Any log files not already saved are
* uploaded to Amazon S3 if a LogUri was specified when the job flow was created.
*
*
* The maximum number of JobFlows allowed is 10. The call to TerminateJobFlows is asynchronous. Depending on the
* configuration of the job flow, it may take up to 5-20 minutes for the job flow 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
*/
@Override
public TerminateJobFlowsResult terminateJobFlows(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 TerminateJobFlowsRequestMarshaller(protocolFactory).marshall(super.beforeMarshalling(terminateJobFlowsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
* 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) {
executionContext.setCredentialsProvider(CredentialUtils.getCredentialsProvider(request.getOriginalRequest(), awsCredentialsProvider));
return doInvoke(request, responseHandler, executionContext);
}
/**
* 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);
}
/**
* 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) {
request.setEndpoint(endpoint);
request.setTimeOffset(timeOffset);
HttpResponseHandler errorResponseHandler = protocolFactory.createErrorResponseHandler(new JsonErrorResponseMetadata());
return client.execute(request, responseHandler, errorResponseHandler, executionContext);
}
@Override
public AmazonElasticMapReduceWaiters waiters() {
if (waiters == null) {
synchronized (this) {
if (waiters == null) {
waiters = new AmazonElasticMapReduceWaiters(this);
}
}
}
return waiters;
}
}