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/*
* Copyright 2010-2016 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.handlers.*;
import com.amazonaws.http.*;
import com.amazonaws.internal.*;
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.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 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";
/** The region metadata service name for computing region endpoints. */
private static final String DEFAULT_ENDPOINT_PREFIX = "elasticmapreduce";
/**
* 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)
.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))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode("InvalidRequestException")
.withModeledClass(
com.amazonaws.services.elasticmapreduce.model.InvalidRequestException.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(new DefaultAWSCredentialsProviderChain(), 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(new DefaultAWSCredentialsProviderChain(), 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();
}
private void init() {
setServiceNameIntern(DEFAULT_SIGNING_NAME);
setEndpointPrefix(DEFAULT_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"));
}
/**
*
* 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);
}
}
/**
*
* 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 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);
}
}
/**
*
* 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);
}
}