@ThreadSafe public class AmazonElasticMapReduceAsyncClient extends AmazonElasticMapReduceClient implements AmazonElasticMapReduceAsync
AsyncHandler
can be used to receive
notification when an asynchronous operation 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.
configFactory, jsonErrorUnmarshallers
client, clientConfiguration, endpoint, LOGGING_AWS_REQUEST_METRIC, requestHandler2s, timeOffset
Constructor and Description |
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AmazonElasticMapReduceAsyncClient()
Constructs a new asynchronous client to invoke service methods on Amazon
EMR.
|
AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the specified AWS account credentials.
|
AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials,
ClientConfiguration clientConfiguration,
ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the specified AWS account credentials, executor service, and
client configuration options.
|
AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials,
ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the specified AWS account credentials and executor service.
|
AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the specified AWS account credentials provider.
|
AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the provided AWS account credentials provider and client
configuration options.
|
AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration,
ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the specified AWS account credentials provider, executor
service, and client configuration options.
|
AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR using the specified AWS account credentials provider and executor
service.
|
AmazonElasticMapReduceAsyncClient(ClientConfiguration clientConfiguration)
Constructs a new asynchronous client to invoke service methods on Amazon
EMR.
|
Modifier and Type | Method and Description |
---|---|
Future<AddInstanceGroupsResult> |
addInstanceGroupsAsync(AddInstanceGroupsRequest request)
AddInstanceGroups adds an instance group to a running cluster.
|
Future<AddInstanceGroupsResult> |
addInstanceGroupsAsync(AddInstanceGroupsRequest request,
AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
AddInstanceGroups adds an instance group to a running cluster.
|
Future<AddJobFlowStepsResult> |
addJobFlowStepsAsync(AddJobFlowStepsRequest request)
AddJobFlowSteps adds new steps to a running job flow.
|
Future<AddJobFlowStepsResult> |
addJobFlowStepsAsync(AddJobFlowStepsRequest request,
AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
AddJobFlowSteps adds new steps to a running job flow.
|
Future<AddTagsResult> |
addTagsAsync(AddTagsRequest request)
Adds tags to an Amazon EMR resource.
|
Future<AddTagsResult> |
addTagsAsync(AddTagsRequest request,
AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
Adds tags to an Amazon EMR resource.
|
Future<DescribeClusterResult> |
describeClusterAsync(DescribeClusterRequest request)
Provides cluster-level details including status, hardware and software
configuration, VPC settings, and so on.
|
Future<DescribeClusterResult> |
describeClusterAsync(DescribeClusterRequest request,
AsyncHandler<DescribeClusterRequest,DescribeClusterResult> asyncHandler)
Provides cluster-level details including status, hardware and software
configuration, VPC settings, and so on.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync()
Deprecated.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync(AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
Simplified method form for invoking the DescribeJobFlows operation with
an AsyncHandler.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync(DescribeJobFlowsRequest request)
Deprecated.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync(DescribeJobFlowsRequest request,
AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
Deprecated.
|
Future<DescribeStepResult> |
describeStepAsync(DescribeStepRequest request)
Provides more detail about the cluster step.
|
Future<DescribeStepResult> |
describeStepAsync(DescribeStepRequest request,
AsyncHandler<DescribeStepRequest,DescribeStepResult> asyncHandler)
Provides more detail about the cluster step.
|
ExecutorService |
getExecutorService()
Returns the executor service used by this client to execute async
requests.
|
Future<ListBootstrapActionsResult> |
listBootstrapActionsAsync(ListBootstrapActionsRequest request)
Provides information about the bootstrap actions associated with a
cluster.
|
Future<ListBootstrapActionsResult> |
listBootstrapActionsAsync(ListBootstrapActionsRequest request,
AsyncHandler<ListBootstrapActionsRequest,ListBootstrapActionsResult> asyncHandler)
Provides information about the bootstrap actions associated with a
cluster.
|
Future<ListClustersResult> |
listClustersAsync()
Simplified method form for invoking the ListClusters operation.
|
Future<ListClustersResult> |
listClustersAsync(AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
Simplified method form for invoking the ListClusters operation with an
AsyncHandler.
|
Future<ListClustersResult> |
listClustersAsync(ListClustersRequest request)
Provides the status of all clusters visible to this AWS account.
|
Future<ListClustersResult> |
listClustersAsync(ListClustersRequest request,
AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
Provides the status of all clusters visible to this AWS account.
|
Future<ListInstanceGroupsResult> |
listInstanceGroupsAsync(ListInstanceGroupsRequest request)
Provides all available details about the instance groups in a cluster.
|
Future<ListInstanceGroupsResult> |
listInstanceGroupsAsync(ListInstanceGroupsRequest request,
AsyncHandler<ListInstanceGroupsRequest,ListInstanceGroupsResult> asyncHandler)
Provides all available details about the instance groups in a cluster.
|
Future<ListInstancesResult> |
listInstancesAsync(ListInstancesRequest request)
Provides information about the cluster instances that Amazon EMR
provisions on behalf of a user when it creates the cluster.
|
Future<ListInstancesResult> |
listInstancesAsync(ListInstancesRequest request,
AsyncHandler<ListInstancesRequest,ListInstancesResult> asyncHandler)
Provides information about the cluster instances that Amazon EMR
provisions on behalf of a user when it creates the cluster.
|
Future<ListStepsResult> |
listStepsAsync(ListStepsRequest request)
Provides a list of steps for the cluster.
|
Future<ListStepsResult> |
listStepsAsync(ListStepsRequest request,
AsyncHandler<ListStepsRequest,ListStepsResult> asyncHandler)
Provides a list of steps for the cluster.
|
Future<Void> |
modifyInstanceGroupsAsync()
Simplified method form for invoking the ModifyInstanceGroups operation.
|
Future<Void> |
modifyInstanceGroupsAsync(AsyncHandler<ModifyInstanceGroupsRequest,Void> asyncHandler)
Simplified method form for invoking the ModifyInstanceGroups operation
with an AsyncHandler.
|
Future<Void> |
modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest request)
ModifyInstanceGroups modifies the number of nodes and configuration
settings of an instance group.
|
Future<Void> |
modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest request,
AsyncHandler<ModifyInstanceGroupsRequest,Void> asyncHandler)
ModifyInstanceGroups modifies the number of nodes and configuration
settings of an instance group.
|
Future<RemoveTagsResult> |
removeTagsAsync(RemoveTagsRequest request)
Removes tags from an Amazon EMR resource.
|
Future<RemoveTagsResult> |
removeTagsAsync(RemoveTagsRequest request,
AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
Removes tags from an Amazon EMR resource.
|
Future<RunJobFlowResult> |
runJobFlowAsync(RunJobFlowRequest request)
RunJobFlow creates and starts running a new job flow.
|
Future<RunJobFlowResult> |
runJobFlowAsync(RunJobFlowRequest request,
AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
RunJobFlow creates and starts running a new job flow.
|
Future<Void> |
setTerminationProtectionAsync(SetTerminationProtectionRequest request)
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.
|
Future<Void> |
setTerminationProtectionAsync(SetTerminationProtectionRequest request,
AsyncHandler<SetTerminationProtectionRequest,Void> asyncHandler)
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.
|
Future<Void> |
setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest request)
Sets whether all AWS Identity and Access Management (IAM) users under
your account can access the specified job flows.
|
Future<Void> |
setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest request,
AsyncHandler<SetVisibleToAllUsersRequest,Void> asyncHandler)
Sets whether all AWS Identity and Access Management (IAM) users under
your account can access the specified job flows.
|
void |
shutdown()
Shuts down the client, releasing all managed resources.
|
Future<Void> |
terminateJobFlowsAsync(TerminateJobFlowsRequest request)
TerminateJobFlows shuts a list of job flows down.
|
Future<Void> |
terminateJobFlowsAsync(TerminateJobFlowsRequest request,
AsyncHandler<TerminateJobFlowsRequest,Void> asyncHandler)
TerminateJobFlows shuts a list of job flows down.
|
addInstanceGroups, addJobFlowSteps, addTags, describeCluster, describeJobFlows, describeJobFlows, describeStep, getCachedResponseMetadata, listBootstrapActions, listClusters, listClusters, listInstanceGroups, listInstances, listSteps, modifyInstanceGroups, modifyInstanceGroups, removeTags, runJobFlow, setTerminationProtection, setVisibleToAllUsers, terminateJobFlows
addRequestHandler, addRequestHandler, beforeMarshalling, configSigner, configSigner, configureRegion, createExecutionContext, createExecutionContext, createExecutionContext, endClientExecution, endClientExecution, findRequestMetricCollector, getRequestMetricsCollector, getServiceAbbreviation, getServiceName, getServiceNameIntern, getSigner, getSignerByURI, getSignerRegionOverride, getTimeOffset, isProfilingEnabled, isRequestMetricsEnabled, removeRequestHandler, removeRequestHandler, requestMetricCollector, setEndpoint, setEndpoint, setEndpointPrefix, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, withEndpoint, withRegion, withRegion, withTimeOffset
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
addInstanceGroups, addJobFlowSteps, addTags, describeCluster, describeJobFlows, describeJobFlows, describeStep, getCachedResponseMetadata, listBootstrapActions, listClusters, listClusters, listInstanceGroups, listInstances, listSteps, modifyInstanceGroups, modifyInstanceGroups, removeTags, runJobFlow, setEndpoint, setRegion, setTerminationProtection, setVisibleToAllUsers, terminateJobFlows
public AmazonElasticMapReduceAsyncClient()
Asynchronous methods are delegated to a fixed-size thread pool containing 50 threads (to match the default maximum number of concurrent connections to the service).
public AmazonElasticMapReduceAsyncClient(ClientConfiguration clientConfiguration)
Asynchronous methods are delegated to a fixed-size thread pool containing
a number of threads equal to the maximum number of concurrent connections
configured via ClientConfiguration.getMaxConnections()
.
clientConfiguration
- The client configuration options controlling how this client
connects to Amazon EMR (ex: proxy settings, retry counts, etc).DefaultAWSCredentialsProviderChain
,
Executors.newFixedThreadPool(int)
public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials)
Asynchronous methods are delegated to a fixed-size thread pool containing 50 threads (to match the default maximum number of concurrent connections to the service).
awsCredentials
- The AWS credentials (access key ID and secret key) to use when
authenticating with AWS services.Executors.newFixedThreadPool(int)
public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials, ExecutorService executorService)
awsCredentials
- The AWS credentials (access key ID and secret key) to use when
authenticating with AWS services.executorService
- The executor service by which all asynchronous requests will be
executed.public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration, ExecutorService executorService)
awsCredentials
- The AWS credentials (access key ID and secret key) to use when
authenticating with AWS services.clientConfiguration
- Client configuration options (ex: max retry limit, proxy settings,
etc).executorService
- The executor service by which all asynchronous requests will be
executed.public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
Asynchronous methods are delegated to a fixed-size thread pool containing 50 threads (to match the default maximum number of concurrent connections to the service).
awsCredentialsProvider
- The AWS credentials provider which will provide credentials to
authenticate requests with AWS services.Executors.newFixedThreadPool(int)
public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration)
Asynchronous methods are delegated to a fixed-size thread pool containing
a number of threads equal to the maximum number of concurrent connections
configured via ClientConfiguration.getMaxConnections()
.
awsCredentialsProvider
- The AWS credentials provider which will provide credentials to
authenticate requests with AWS services.clientConfiguration
- Client configuration options (ex: max retry limit, proxy settings,
etc).DefaultAWSCredentialsProviderChain
,
Executors.newFixedThreadPool(int)
public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ExecutorService executorService)
awsCredentialsProvider
- The AWS credentials provider which will provide credentials to
authenticate requests with AWS services.executorService
- The executor service by which all asynchronous requests will be
executed.public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, ExecutorService executorService)
awsCredentialsProvider
- The AWS credentials provider which will provide credentials to
authenticate requests with AWS services.clientConfiguration
- Client configuration options (ex: max retry limit, proxy settings,
etc).executorService
- The executor service by which all asynchronous requests will be
executed.public ExecutorService getExecutorService()
public Future<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest request)
AmazonElasticMapReduceAsync
AddInstanceGroups adds an instance group to a running cluster.
addInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
request
- Input to an AddInstanceGroups call.public Future<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest request, AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
AmazonElasticMapReduceAsync
AddInstanceGroups adds an instance group to a running cluster.
addInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
request
- Input to an AddInstanceGroups call.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest request)
AmazonElasticMapReduceAsync
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.
addJobFlowStepsAsync
in interface AmazonElasticMapReduceAsync
request
- The input argument to the AddJobFlowSteps operation.public Future<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest request, AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
AmazonElasticMapReduceAsync
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.
addJobFlowStepsAsync
in interface AmazonElasticMapReduceAsync
request
- The input argument to the AddJobFlowSteps operation.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<AddTagsResult> addTagsAsync(AddTagsRequest request)
AmazonElasticMapReduceAsync
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.
addTagsAsync
in interface AmazonElasticMapReduceAsync
request
- This input identifies a cluster and a list of tags to attach.public Future<AddTagsResult> addTagsAsync(AddTagsRequest request, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
AmazonElasticMapReduceAsync
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.
addTagsAsync
in interface AmazonElasticMapReduceAsync
request
- This input identifies a cluster and a list of tags to attach.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest request)
AmazonElasticMapReduceAsync
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on. For information about the cluster steps, see ListSteps.
describeClusterAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which cluster to describe.public Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest request, AsyncHandler<DescribeClusterRequest,DescribeClusterResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on. For information about the cluster steps, see ListSteps.
describeClusterAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which cluster to describe.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync(DescribeJobFlowsRequest request)
AmazonElasticMapReduceAsync
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:
RUNNING
, WAITING
,
SHUTTING_DOWN
, STARTING
Amazon Elastic MapReduce can return a maximum of 512 job flow descriptions.
describeJobFlowsAsync
in interface AmazonElasticMapReduceAsync
request
- The input for the DescribeJobFlows operation.@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync(DescribeJobFlowsRequest request, AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
AmazonElasticMapReduceAsync
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:
RUNNING
, WAITING
,
SHUTTING_DOWN
, STARTING
Amazon Elastic MapReduce can return a maximum of 512 job flow descriptions.
describeJobFlowsAsync
in interface AmazonElasticMapReduceAsync
request
- The input for the DescribeJobFlows operation.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync()
describeJobFlowsAsync
in interface AmazonElasticMapReduceAsync
describeJobFlowsAsync(DescribeJobFlowsRequest)
public Future<DescribeJobFlowsResult> describeJobFlowsAsync(AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
describeJobFlowsAsync
in interface AmazonElasticMapReduceAsync
describeJobFlowsAsync(DescribeJobFlowsRequest,
com.amazonaws.handlers.AsyncHandler)
public Future<DescribeStepResult> describeStepAsync(DescribeStepRequest request)
AmazonElasticMapReduceAsync
Provides more detail about the cluster step.
describeStepAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which step to describe.public Future<DescribeStepResult> describeStepAsync(DescribeStepRequest request, AsyncHandler<DescribeStepRequest,DescribeStepResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides more detail about the cluster step.
describeStepAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which step to describe.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListBootstrapActionsResult> listBootstrapActionsAsync(ListBootstrapActionsRequest request)
AmazonElasticMapReduceAsync
Provides information about the bootstrap actions associated with a cluster.
listBootstrapActionsAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which bootstrap actions to retrieve.public Future<ListBootstrapActionsResult> listBootstrapActionsAsync(ListBootstrapActionsRequest request, AsyncHandler<ListBootstrapActionsRequest,ListBootstrapActionsResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides information about the bootstrap actions associated with a cluster.
listBootstrapActionsAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which bootstrap actions to retrieve.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListClustersResult> listClustersAsync(ListClustersRequest request)
AmazonElasticMapReduceAsync
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.
listClustersAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines how the ListClusters action filters the list
of clusters that it returns.public Future<ListClustersResult> listClustersAsync(ListClustersRequest request, AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
AmazonElasticMapReduceAsync
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.
listClustersAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines how the ListClusters action filters the list
of clusters that it returns.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListClustersResult> listClustersAsync()
listClustersAsync
in interface AmazonElasticMapReduceAsync
listClustersAsync(ListClustersRequest)
public Future<ListClustersResult> listClustersAsync(AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
listClustersAsync
in interface AmazonElasticMapReduceAsync
listClustersAsync(ListClustersRequest,
com.amazonaws.handlers.AsyncHandler)
public Future<ListInstanceGroupsResult> listInstanceGroupsAsync(ListInstanceGroupsRequest request)
AmazonElasticMapReduceAsync
Provides all available details about the instance groups in a cluster.
listInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which instance groups to retrieve.public Future<ListInstanceGroupsResult> listInstanceGroupsAsync(ListInstanceGroupsRequest request, AsyncHandler<ListInstanceGroupsRequest,ListInstanceGroupsResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides all available details about the instance groups in a cluster.
listInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which instance groups to retrieve.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInstancesResult> listInstancesAsync(ListInstancesRequest request)
AmazonElasticMapReduceAsync
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.
listInstancesAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which instances to list.public Future<ListInstancesResult> listInstancesAsync(ListInstancesRequest request, AsyncHandler<ListInstancesRequest,ListInstancesResult> asyncHandler)
AmazonElasticMapReduceAsync
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.
listInstancesAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which instances to list.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListStepsResult> listStepsAsync(ListStepsRequest request)
AmazonElasticMapReduceAsync
Provides a list of steps for the cluster.
listStepsAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which steps to list.public Future<ListStepsResult> listStepsAsync(ListStepsRequest request, AsyncHandler<ListStepsRequest,ListStepsResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides a list of steps for the cluster.
listStepsAsync
in interface AmazonElasticMapReduceAsync
request
- This input determines which steps to list.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<Void> modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest request)
AmazonElasticMapReduceAsync
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.
modifyInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
request
- Change the size of some instance groups.public Future<Void> modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest request, AsyncHandler<ModifyInstanceGroupsRequest,Void> asyncHandler)
AmazonElasticMapReduceAsync
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.
modifyInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
request
- Change the size of some instance groups.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<Void> modifyInstanceGroupsAsync()
modifyInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest)
public Future<Void> modifyInstanceGroupsAsync(AsyncHandler<ModifyInstanceGroupsRequest,Void> asyncHandler)
modifyInstanceGroupsAsync
in interface AmazonElasticMapReduceAsync
modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest,
com.amazonaws.handlers.AsyncHandler)
public Future<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest request)
AmazonElasticMapReduceAsync
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:
removeTagsAsync
in interface AmazonElasticMapReduceAsync
request
- This input identifies a cluster and a list of tags to remove.public Future<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest request, AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
AmazonElasticMapReduceAsync
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:
removeTagsAsync
in interface AmazonElasticMapReduceAsync
request
- This input identifies a cluster and a list of tags to remove.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest request)
AmazonElasticMapReduceAsync
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.
runJobFlowAsync
in interface AmazonElasticMapReduceAsync
request
- Input to the RunJobFlow operation.public Future<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest request, AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
AmazonElasticMapReduceAsync
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.
runJobFlowAsync
in interface AmazonElasticMapReduceAsync
request
- Input to the RunJobFlow operation.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<Void> setTerminationProtectionAsync(SetTerminationProtectionRequest request)
AmazonElasticMapReduceAsync
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.
setTerminationProtectionAsync
in interface AmazonElasticMapReduceAsync
request
- The input argument to the TerminationProtection operation.public Future<Void> setTerminationProtectionAsync(SetTerminationProtectionRequest request, AsyncHandler<SetTerminationProtectionRequest,Void> asyncHandler)
AmazonElasticMapReduceAsync
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.
setTerminationProtectionAsync
in interface AmazonElasticMapReduceAsync
request
- The input argument to the TerminationProtection operation.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<Void> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest request)
AmazonElasticMapReduceAsync
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.
setVisibleToAllUsersAsync
in interface AmazonElasticMapReduceAsync
request
- The input to the SetVisibleToAllUsers action.public Future<Void> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest request, AsyncHandler<SetVisibleToAllUsersRequest,Void> asyncHandler)
AmazonElasticMapReduceAsync
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.
setVisibleToAllUsersAsync
in interface AmazonElasticMapReduceAsync
request
- The input to the SetVisibleToAllUsers action.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<Void> terminateJobFlowsAsync(TerminateJobFlowsRequest request)
AmazonElasticMapReduceAsync
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.
terminateJobFlowsAsync
in interface AmazonElasticMapReduceAsync
request
- Input to the TerminateJobFlows operation.public Future<Void> terminateJobFlowsAsync(TerminateJobFlowsRequest request, AsyncHandler<TerminateJobFlowsRequest,Void> asyncHandler)
AmazonElasticMapReduceAsync
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.
terminateJobFlowsAsync
in interface AmazonElasticMapReduceAsync
request
- Input to the TerminateJobFlows operation.asyncHandler
- Asynchronous callback handler for events in the lifecycle of the
request. Users can provide an implementation of the callback
methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public void shutdown()
getExecutorService().shutdown()
followed by
getExecutorService().awaitTermination()
prior to calling this
method.shutdown
in interface AmazonElasticMapReduce
shutdown
in class AmazonWebServiceClient
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