/*
* Copyright 2010-2012 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 java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import com.amazonaws.AmazonClientException;
import com.amazonaws.AmazonServiceException;
import com.amazonaws.handlers.AsyncHandler;
import com.amazonaws.ClientConfiguration;
import com.amazonaws.auth.AWSCredentials;
import com.amazonaws.auth.AWSCredentialsProvider;
import com.amazonaws.auth.DefaultAWSCredentialsProviderChain;
import com.amazonaws.services.elasticmapreduce.model.*;
/**
* Asynchronous client for accessing AmazonElasticMapReduce.
* All asynchronous calls made using this client are non-blocking. Callers could either
* process the result and handle the exceptions in the worker thread by providing a callback handler
* when making the call, or use the returned Future object to check the result of the call in the calling thread.
* <p>
* This is the <i>Amazon Elastic MapReduce API Reference</i> . This guide provides descriptions and samples of the Amazon Elastic MapReduce APIs.
* </p>
* <p>
* Amazon Elastic MapReduce is a web service that makes it easy to process large amounts of data efficiently. Elastic MapReduce 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.
* </p>
*/
public class AmazonElasticMapReduceAsyncClient extends AmazonElasticMapReduceClient
implements AmazonElasticMapReduceAsync {
/**
* Executor service for executing asynchronous requests.
*/
private ExecutorService executorService;
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce. A credentials provider chain will be used
* that searches for credentials in this order:
* <ul>
* <li> Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY </li>
* <li> Java System Properties - aws.accessKeyId and aws.secretKey </li>
* <li> Instance profile credentials delivered through the Amazon EC2 metadata service </li>
* </ul>
*
* <p>
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @see DefaultAWSCredentialsProvider
*/
public AmazonElasticMapReduceAsyncClient() {
this(new DefaultAWSCredentialsProviderChain());
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce. A credentials provider chain will be used
* that searches for credentials in this order:
* <ul>
* <li> Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY </li>
* <li> Java System Properties - aws.accessKeyId and aws.secretKey </li>
* <li> Instance profile credentials delivered through the Amazon EC2 metadata service </li>
* </ul>
*
* <p>
* 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 AmazonElasticMapReduce
* (ex: proxy settings, retry counts, etc.).
*
* @see DefaultAWSCredentialsProvider
*/
public AmazonElasticMapReduceAsyncClient(ClientConfiguration clientConfiguration) {
this(new DefaultAWSCredentialsProviderChain(), clientConfiguration, Executors.newCachedThreadPool());
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce using the specified AWS account credentials.
* Default client settings will be used, and a default cached thread pool will be
* created for executing the asynchronous tasks.
*
* <p>
* All calls made using this new client object are non-blocking, and will immediately
* return a Java Future object that the caller can later check to see if the service
* call has actually completed.
*
* @param awsCredentials The AWS credentials (access key ID and secret key) to use
* when authenticating with AWS services.
*/
public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials) {
this(awsCredentials, Executors.newCachedThreadPool());
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce using the specified AWS account credentials
* and executor service. Default client settings will be used.
*
* <p>
* All calls made using this new client object are non-blocking, and will immediately
* return a Java Future object that the caller can later check to see if the service
* call has actually completed.
*
* @param awsCredentials
* The AWS credentials (access key ID and secret key) to use
* when authenticating with AWS services.
* @param executorService
* The executor service by which all asynchronous requests will
* be executed.
*/
public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials, ExecutorService executorService) {
super(awsCredentials);
this.executorService = executorService;
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce using the specified AWS account credentials,
* executor service, and client configuration options.
*
* <p>
* All calls made using this new client object are non-blocking, and will immediately
* return a Java Future object that the caller can later check to see if the service
* call has actually completed.
*
* @param awsCredentials
* The AWS credentials (access key ID and secret key) to use
* when authenticating with AWS services.
* @param clientConfiguration
* Client configuration options (ex: max retry limit, proxy
* settings, etc).
* @param executorService
* The executor service by which all asynchronous requests will
* be executed.
*/
public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials,
ClientConfiguration clientConfiguration, ExecutorService executorService) {
super(awsCredentials, clientConfiguration);
this.executorService = executorService;
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce using the specified AWS account credentials provider.
* Default client settings will be used, and a default cached thread pool will be
* created for executing the asynchronous tasks.
*
* <p>
* All calls made using this new client object are non-blocking, and will immediately
* return a Java Future object that the caller can later check to see if the service
* call has actually completed.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials
* to authenticate requests with AWS services.
*/
public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider) {
this(awsCredentialsProvider, Executors.newCachedThreadPool());
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce using the specified AWS account credentials provider
* and executor service. Default client settings will be used.
*
* <p>
* All calls made using this new client object are non-blocking, and will immediately
* return a Java Future object that the caller can later check to see if the service
* call has actually completed.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials
* to authenticate requests with AWS services.
* @param executorService
* The executor service by which all asynchronous requests will
* be executed.
*/
public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ExecutorService executorService) {
this(awsCredentialsProvider, new ClientConfiguration(), executorService);
}
/**
* Constructs a new asynchronous client to invoke service methods on
* AmazonElasticMapReduce using the specified AWS account credentials
* provider, executor service, and client configuration options.
*
* <p>
* All calls made using this new client object are non-blocking, and will immediately
* return a Java Future object that the caller can later check to see if the service
* call has actually completed.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials
* to authenticate requests with AWS services.
* @param clientConfiguration
* Client configuration options (ex: max retry limit, proxy
* settings, etc).
* @param executorService
* The executor service by which all asynchronous requests will
* be executed.
*/
public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration, ExecutorService executorService) {
super(awsCredentialsProvider, clientConfiguration);
this.executorService = executorService;
}
/**
* Returns the executor service used by this async client to execute
* requests.
*
* @return The executor service used by this async client to execute
* requests.
*/
public ExecutorService getExecutorService() {
return executorService;
}
/**
* Shuts down the client, releasing all managed resources. This includes
* forcibly terminating all pending asynchronous service calls. Clients who
* wish to give pending asynchronous service calls time to complete should
* call getExecutorService().shutdown() prior to calling this method.
*/
@Override
public void shutdown() {
super.shutdown();
executorService.shutdownNow();
}
/**
* <p>
* AddInstanceGroups adds an instance group to a running cluster.
* </p>
*
* @param addInstanceGroupsRequest Container for the necessary parameters
* to execute the AddInstanceGroups operation on AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* AddInstanceGroups service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<AddInstanceGroupsResult> addInstanceGroupsAsync(final AddInstanceGroupsRequest addInstanceGroupsRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<AddInstanceGroupsResult>() {
public AddInstanceGroupsResult call() throws Exception {
return addInstanceGroups(addInstanceGroupsRequest);
}
});
}
/**
* <p>
* AddInstanceGroups adds an instance group to a running cluster.
* </p>
*
* @param addInstanceGroupsRequest Container for the necessary parameters
* to execute the AddInstanceGroups operation on AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* AddInstanceGroups service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<AddInstanceGroupsResult> addInstanceGroupsAsync(
final AddInstanceGroupsRequest addInstanceGroupsRequest,
final AsyncHandler<AddInstanceGroupsRequest, AddInstanceGroupsResult> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<AddInstanceGroupsResult>() {
public AddInstanceGroupsResult call() throws Exception {
AddInstanceGroupsResult result;
try {
result = addInstanceGroups(addInstanceGroupsRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(addInstanceGroupsRequest, result);
return result;
}
});
}
/**
* <p>
* AddJobFlowSteps adds new steps to a running job flow. A maximum of
* 256 steps are allowed in each job flow.
* </p>
* <p>
* 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 <a
* .com/ElasticMapReduce/latest/DeveloperGuide/AddMoreThan256Steps.html">
* Add More than 256 Steps to a Job Flow </a> in the <i>Amazon Elastic
* MapReduce Developer's Guide</i> .
* </p>
* <p>
* 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.
* </p>
* <p>
* 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.
* </p>
* <p>
* You can only add steps to a job flow that is in one of the following
* states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
* </p>
*
* @param addJobFlowStepsRequest Container for the necessary parameters
* to execute the AddJobFlowSteps operation on AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* AddJobFlowSteps service method, as returned by AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> addJobFlowStepsAsync(final AddJobFlowStepsRequest addJobFlowStepsRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
addJobFlowSteps(addJobFlowStepsRequest);
return null;
}
});
}
/**
* <p>
* AddJobFlowSteps adds new steps to a running job flow. A maximum of
* 256 steps are allowed in each job flow.
* </p>
* <p>
* 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 <a
* .com/ElasticMapReduce/latest/DeveloperGuide/AddMoreThan256Steps.html">
* Add More than 256 Steps to a Job Flow </a> in the <i>Amazon Elastic
* MapReduce Developer's Guide</i> .
* </p>
* <p>
* 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.
* </p>
* <p>
* 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.
* </p>
* <p>
* You can only add steps to a job flow that is in one of the following
* states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
* </p>
*
* @param addJobFlowStepsRequest Container for the necessary parameters
* to execute the AddJobFlowSteps operation on AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* AddJobFlowSteps service method, as returned by AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> addJobFlowStepsAsync(
final AddJobFlowStepsRequest addJobFlowStepsRequest,
final AsyncHandler<AddJobFlowStepsRequest, Void> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
try {
addJobFlowSteps(addJobFlowStepsRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(addJobFlowStepsRequest, null);
return null;
}
});
}
/**
* <p>
* 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.
* </p>
*
* @param terminateJobFlowsRequest Container for the necessary parameters
* to execute the TerminateJobFlows operation on AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* TerminateJobFlows service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> terminateJobFlowsAsync(final TerminateJobFlowsRequest terminateJobFlowsRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
terminateJobFlows(terminateJobFlowsRequest);
return null;
}
});
}
/**
* <p>
* 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.
* </p>
*
* @param terminateJobFlowsRequest Container for the necessary parameters
* to execute the TerminateJobFlows operation on AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* TerminateJobFlows service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> terminateJobFlowsAsync(
final TerminateJobFlowsRequest terminateJobFlowsRequest,
final AsyncHandler<TerminateJobFlowsRequest, Void> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
try {
terminateJobFlows(terminateJobFlowsRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(terminateJobFlowsRequest, null);
return null;
}
});
}
/**
* <p>
* 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.
* </p>
* <p>
* Regardless of supplied parameters, only job flows created within the
* last two months are returned.
* </p>
* <p>
* If no parameters are supplied, then job flows matching either of the
* following criteria are returned:
* </p>
*
* <ul>
* <li>Job flows created and completed in the last two weeks</li>
* <li> Job flows created within the last two months that are in one of
* the following states: <code>RUNNING</code> ,
* <code>WAITING</code> ,
* <code>SHUTTING_DOWN</code> ,
*
* <code>STARTING</code> </li>
*
* </ul>
* <p>
* Amazon Elastic MapReduce can return a maximum of 512 job flow
* descriptions.
* </p>
*
* @param describeJobFlowsRequest Container for the necessary parameters
* to execute the DescribeJobFlows operation on AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* DescribeJobFlows service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<DescribeJobFlowsResult> describeJobFlowsAsync(final DescribeJobFlowsRequest describeJobFlowsRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<DescribeJobFlowsResult>() {
public DescribeJobFlowsResult call() throws Exception {
return describeJobFlows(describeJobFlowsRequest);
}
});
}
/**
* <p>
* 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.
* </p>
* <p>
* Regardless of supplied parameters, only job flows created within the
* last two months are returned.
* </p>
* <p>
* If no parameters are supplied, then job flows matching either of the
* following criteria are returned:
* </p>
*
* <ul>
* <li>Job flows created and completed in the last two weeks</li>
* <li> Job flows created within the last two months that are in one of
* the following states: <code>RUNNING</code> ,
* <code>WAITING</code> ,
* <code>SHUTTING_DOWN</code> ,
*
* <code>STARTING</code> </li>
*
* </ul>
* <p>
* Amazon Elastic MapReduce can return a maximum of 512 job flow
* descriptions.
* </p>
*
* @param describeJobFlowsRequest Container for the necessary parameters
* to execute the DescribeJobFlows operation on AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* DescribeJobFlows service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<DescribeJobFlowsResult> describeJobFlowsAsync(
final DescribeJobFlowsRequest describeJobFlowsRequest,
final AsyncHandler<DescribeJobFlowsRequest, DescribeJobFlowsResult> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<DescribeJobFlowsResult>() {
public DescribeJobFlowsResult call() throws Exception {
DescribeJobFlowsResult result;
try {
result = describeJobFlows(describeJobFlowsRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(describeJobFlowsRequest, result);
return result;
}
});
}
/**
* <p>
* 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.
* </p>
* <p>
* 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.
* </p>
* <p>
* To terminate a job flow that has been locked by setting
* SetTerminationProtection to <code>true</code> ,
* you must first unlock the job flow by a subsequent call to
* SetTerminationProtection in which you set the value to
* <code>false</code> .
* </p>
* <p>
* For more information, go to <a
* cMapReduce/latest/DeveloperGuide/UsingEMR_TerminationProtection.html">
* Protecting a Job Flow from Termination </a> in the <i>Amazon Elastic
* MapReduce Developer's Guide.</i>
* </p>
*
* @param setTerminationProtectionRequest Container for the necessary
* parameters to execute the SetTerminationProtection operation on
* AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* SetTerminationProtection service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> setTerminationProtectionAsync(final SetTerminationProtectionRequest setTerminationProtectionRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
setTerminationProtection(setTerminationProtectionRequest);
return null;
}
});
}
/**
* <p>
* 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.
* </p>
* <p>
* 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.
* </p>
* <p>
* To terminate a job flow that has been locked by setting
* SetTerminationProtection to <code>true</code> ,
* you must first unlock the job flow by a subsequent call to
* SetTerminationProtection in which you set the value to
* <code>false</code> .
* </p>
* <p>
* For more information, go to <a
* cMapReduce/latest/DeveloperGuide/UsingEMR_TerminationProtection.html">
* Protecting a Job Flow from Termination </a> in the <i>Amazon Elastic
* MapReduce Developer's Guide.</i>
* </p>
*
* @param setTerminationProtectionRequest Container for the necessary
* parameters to execute the SetTerminationProtection operation on
* AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* SetTerminationProtection service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> setTerminationProtectionAsync(
final SetTerminationProtectionRequest setTerminationProtectionRequest,
final AsyncHandler<SetTerminationProtectionRequest, Void> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
try {
setTerminationProtection(setTerminationProtectionRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(setTerminationProtectionRequest, null);
return null;
}
});
}
/**
* <p>
* 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 <code>KeepJobFlowAliveWhenNoSteps</code>
* parameter is set to <code>TRUE</code> , the job flow will transition
* to the WAITING state rather than shutting down once the steps have
* completed.
* </p>
* <p>
* For additional protection, you can set the JobFlowInstancesConfig
* <code>TerminationProtected</code> parameter to <code>TRUE</code> 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.
* </p>
* <p>
* A maximum of 256 steps are allowed in each job flow.
* </p>
* <p>
* 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 <a
* .com/ElasticMapReduce/latest/DeveloperGuide/AddMoreThan256Steps.html">
* Add More than 256 Steps to a Job Flow </a> in the <i>Amazon Elastic
* MapReduce Developer's Guide</i> .
* </p>
* <p>
* For long running job flows, we recommend that you periodically store
* your results.
* </p>
*
* @param runJobFlowRequest Container for the necessary parameters to
* execute the RunJobFlow operation on AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* RunJobFlow service method, as returned by AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<RunJobFlowResult> runJobFlowAsync(final RunJobFlowRequest runJobFlowRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<RunJobFlowResult>() {
public RunJobFlowResult call() throws Exception {
return runJobFlow(runJobFlowRequest);
}
});
}
/**
* <p>
* 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 <code>KeepJobFlowAliveWhenNoSteps</code>
* parameter is set to <code>TRUE</code> , the job flow will transition
* to the WAITING state rather than shutting down once the steps have
* completed.
* </p>
* <p>
* For additional protection, you can set the JobFlowInstancesConfig
* <code>TerminationProtected</code> parameter to <code>TRUE</code> 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.
* </p>
* <p>
* A maximum of 256 steps are allowed in each job flow.
* </p>
* <p>
* 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 <a
* .com/ElasticMapReduce/latest/DeveloperGuide/AddMoreThan256Steps.html">
* Add More than 256 Steps to a Job Flow </a> in the <i>Amazon Elastic
* MapReduce Developer's Guide</i> .
* </p>
* <p>
* For long running job flows, we recommend that you periodically store
* your results.
* </p>
*
* @param runJobFlowRequest Container for the necessary parameters to
* execute the RunJobFlow operation on AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* RunJobFlow service method, as returned by AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<RunJobFlowResult> runJobFlowAsync(
final RunJobFlowRequest runJobFlowRequest,
final AsyncHandler<RunJobFlowRequest, RunJobFlowResult> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<RunJobFlowResult>() {
public RunJobFlowResult call() throws Exception {
RunJobFlowResult result;
try {
result = runJobFlow(runJobFlowRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(runJobFlowRequest, result);
return result;
}
});
}
/**
* <p>
* 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.
* </p>
*
* @param modifyInstanceGroupsRequest Container for the necessary
* parameters to execute the ModifyInstanceGroups operation on
* AmazonElasticMapReduce.
*
* @return A Java Future object containing the response from the
* ModifyInstanceGroups service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> modifyInstanceGroupsAsync(final ModifyInstanceGroupsRequest modifyInstanceGroupsRequest)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
modifyInstanceGroups(modifyInstanceGroupsRequest);
return null;
}
});
}
/**
* <p>
* 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.
* </p>
*
* @param modifyInstanceGroupsRequest Container for the necessary
* parameters to execute the ModifyInstanceGroups operation on
* AmazonElasticMapReduce.
* @param asyncHandler Asynchronous callback handler for events in the
* life-cycle of the request. Users could provide the implementation of
* the four callback methods in this interface to process the operation
* result or handle the exception.
*
* @return A Java Future object containing the response from the
* ModifyInstanceGroups service method, as returned by
* AmazonElasticMapReduce.
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonElasticMapReduce indicating
* either a problem with the data in the request, or a server side issue.
*/
public Future<Void> modifyInstanceGroupsAsync(
final ModifyInstanceGroupsRequest modifyInstanceGroupsRequest,
final AsyncHandler<ModifyInstanceGroupsRequest, Void> asyncHandler)
throws AmazonServiceException, AmazonClientException {
return executorService.submit(new Callable<Void>() {
public Void call() throws Exception {
try {
modifyInstanceGroups(modifyInstanceGroupsRequest);
} catch (Exception ex) {
asyncHandler.onError(ex);
throw ex;
}
asyncHandler.onSuccess(modifyInstanceGroupsRequest, null);
return null;
}
});
}
}