public interface AmazonElasticMapReduceAsync extends AmazonElasticMapReduce
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.
ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
Future<AddInstanceGroupsResult> |
addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest)
AddInstanceGroups adds an instance group to a running cluster.
|
Future<AddInstanceGroupsResult> |
addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest,
AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
AddInstanceGroups adds an instance group to a running cluster.
|
Future<AddJobFlowStepsResult> |
addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest)
AddJobFlowSteps adds new steps to a running job flow.
|
Future<AddJobFlowStepsResult> |
addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest,
AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
AddJobFlowSteps adds new steps to a running job flow.
|
Future<AddTagsResult> |
addTagsAsync(AddTagsRequest addTagsRequest)
Adds tags to an Amazon EMR resource.
|
Future<AddTagsResult> |
addTagsAsync(AddTagsRequest addTagsRequest,
AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
Adds tags to an Amazon EMR resource.
|
Future<DescribeClusterResult> |
describeClusterAsync(DescribeClusterRequest describeClusterRequest)
Provides cluster-level details including status, hardware and software
configuration, VPC settings, and so on.
|
Future<DescribeClusterResult> |
describeClusterAsync(DescribeClusterRequest describeClusterRequest,
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 describeJobFlowsRequest)
Deprecated.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync(DescribeJobFlowsRequest describeJobFlowsRequest,
AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
Deprecated.
|
Future<DescribeStepResult> |
describeStepAsync(DescribeStepRequest describeStepRequest)
Provides more detail about the cluster step.
|
Future<DescribeStepResult> |
describeStepAsync(DescribeStepRequest describeStepRequest,
AsyncHandler<DescribeStepRequest,DescribeStepResult> asyncHandler)
Provides more detail about the cluster step.
|
Future<ListBootstrapActionsResult> |
listBootstrapActionsAsync(ListBootstrapActionsRequest listBootstrapActionsRequest)
Provides information about the bootstrap actions associated with a
cluster.
|
Future<ListBootstrapActionsResult> |
listBootstrapActionsAsync(ListBootstrapActionsRequest listBootstrapActionsRequest,
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 listClustersRequest)
Provides the status of all clusters visible to this AWS account.
|
Future<ListClustersResult> |
listClustersAsync(ListClustersRequest listClustersRequest,
AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
Provides the status of all clusters visible to this AWS account.
|
Future<ListInstanceGroupsResult> |
listInstanceGroupsAsync(ListInstanceGroupsRequest listInstanceGroupsRequest)
Provides all available details about the instance groups in a cluster.
|
Future<ListInstanceGroupsResult> |
listInstanceGroupsAsync(ListInstanceGroupsRequest listInstanceGroupsRequest,
AsyncHandler<ListInstanceGroupsRequest,ListInstanceGroupsResult> asyncHandler)
Provides all available details about the instance groups in a cluster.
|
Future<ListInstancesResult> |
listInstancesAsync(ListInstancesRequest listInstancesRequest)
Provides information about the cluster instances that Amazon EMR
provisions on behalf of a user when it creates the cluster.
|
Future<ListInstancesResult> |
listInstancesAsync(ListInstancesRequest listInstancesRequest,
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 listStepsRequest)
Provides a list of steps for the cluster.
|
Future<ListStepsResult> |
listStepsAsync(ListStepsRequest listStepsRequest,
AsyncHandler<ListStepsRequest,ListStepsResult> asyncHandler)
Provides a list of steps for the cluster.
|
Future<ModifyInstanceGroupsResult> |
modifyInstanceGroupsAsync()
Simplified method form for invoking the ModifyInstanceGroups operation.
|
Future<ModifyInstanceGroupsResult> |
modifyInstanceGroupsAsync(AsyncHandler<ModifyInstanceGroupsRequest,ModifyInstanceGroupsResult> asyncHandler)
Simplified method form for invoking the ModifyInstanceGroups operation
with an AsyncHandler.
|
Future<ModifyInstanceGroupsResult> |
modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest modifyInstanceGroupsRequest)
ModifyInstanceGroups modifies the number of nodes and configuration
settings of an instance group.
|
Future<ModifyInstanceGroupsResult> |
modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest modifyInstanceGroupsRequest,
AsyncHandler<ModifyInstanceGroupsRequest,ModifyInstanceGroupsResult> asyncHandler)
ModifyInstanceGroups modifies the number of nodes and configuration
settings of an instance group.
|
Future<RemoveTagsResult> |
removeTagsAsync(RemoveTagsRequest removeTagsRequest)
Removes tags from an Amazon EMR resource.
|
Future<RemoveTagsResult> |
removeTagsAsync(RemoveTagsRequest removeTagsRequest,
AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
Removes tags from an Amazon EMR resource.
|
Future<RunJobFlowResult> |
runJobFlowAsync(RunJobFlowRequest runJobFlowRequest)
RunJobFlow creates and starts running a new job flow.
|
Future<RunJobFlowResult> |
runJobFlowAsync(RunJobFlowRequest runJobFlowRequest,
AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
RunJobFlow creates and starts running a new job flow.
|
Future<SetTerminationProtectionResult> |
setTerminationProtectionAsync(SetTerminationProtectionRequest setTerminationProtectionRequest)
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<SetTerminationProtectionResult> |
setTerminationProtectionAsync(SetTerminationProtectionRequest setTerminationProtectionRequest,
AsyncHandler<SetTerminationProtectionRequest,SetTerminationProtectionResult> 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<SetVisibleToAllUsersResult> |
setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest)
Sets whether all AWS Identity and Access Management (IAM) users under
your account can access the specified job flows.
|
Future<SetVisibleToAllUsersResult> |
setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest,
AsyncHandler<SetVisibleToAllUsersRequest,SetVisibleToAllUsersResult> asyncHandler)
Sets whether all AWS Identity and Access Management (IAM) users under
your account can access the specified job flows.
|
Future<TerminateJobFlowsResult> |
terminateJobFlowsAsync(TerminateJobFlowsRequest terminateJobFlowsRequest)
TerminateJobFlows shuts a list of job flows down.
|
Future<TerminateJobFlowsResult> |
terminateJobFlowsAsync(TerminateJobFlowsRequest terminateJobFlowsRequest,
AsyncHandler<TerminateJobFlowsRequest,TerminateJobFlowsResult> 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, setEndpoint, setRegion, setTerminationProtection, setVisibleToAllUsers, shutdown, terminateJobFlowsFuture<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest)
AddInstanceGroups adds an instance group to a running cluster.
addInstanceGroupsRequest - Input to an AddInstanceGroups call.Future<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest, AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
AddInstanceGroups adds an instance group to a running cluster.
addInstanceGroupsRequest - 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.Future<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest)
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.
addJobFlowStepsRequest - The input argument to the AddJobFlowSteps operation.Future<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest, AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
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.
addJobFlowStepsRequest - 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.Future<AddTagsResult> addTagsAsync(AddTagsRequest addTagsRequest)
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.
addTagsRequest - This input identifies a cluster and a list of tags to attach.Future<AddTagsResult> addTagsAsync(AddTagsRequest addTagsRequest, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
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.
addTagsRequest - 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.Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest describeClusterRequest)
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on. For information about the cluster steps, see ListSteps.
describeClusterRequest - This input determines which cluster to describe.Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest describeClusterRequest, AsyncHandler<DescribeClusterRequest,DescribeClusterResult> asyncHandler)
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on. For information about the cluster steps, see ListSteps.
describeClusterRequest - 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 Future<DescribeJobFlowsResult> describeJobFlowsAsync(DescribeJobFlowsRequest describeJobFlowsRequest)
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, STARTINGAmazon Elastic MapReduce can return a maximum of 512 job flow descriptions.
describeJobFlowsRequest - The input for the DescribeJobFlows operation.@Deprecated Future<DescribeJobFlowsResult> describeJobFlowsAsync(DescribeJobFlowsRequest describeJobFlowsRequest, AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
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, STARTINGAmazon Elastic MapReduce can return a maximum of 512 job flow descriptions.
describeJobFlowsRequest - 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 Future<DescribeJobFlowsResult> describeJobFlowsAsync()
Future<DescribeJobFlowsResult> describeJobFlowsAsync(AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
Future<DescribeStepResult> describeStepAsync(DescribeStepRequest describeStepRequest)
Provides more detail about the cluster step.
describeStepRequest - This input determines which step to describe.Future<DescribeStepResult> describeStepAsync(DescribeStepRequest describeStepRequest, AsyncHandler<DescribeStepRequest,DescribeStepResult> asyncHandler)
Provides more detail about the cluster step.
describeStepRequest - 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.Future<ListBootstrapActionsResult> listBootstrapActionsAsync(ListBootstrapActionsRequest listBootstrapActionsRequest)
Provides information about the bootstrap actions associated with a cluster.
listBootstrapActionsRequest - This input determines which bootstrap actions to retrieve.Future<ListBootstrapActionsResult> listBootstrapActionsAsync(ListBootstrapActionsRequest listBootstrapActionsRequest, AsyncHandler<ListBootstrapActionsRequest,ListBootstrapActionsResult> asyncHandler)
Provides information about the bootstrap actions associated with a cluster.
listBootstrapActionsRequest - 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.Future<ListClustersResult> listClustersAsync(ListClustersRequest listClustersRequest)
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.
listClustersRequest - This input determines how the ListClusters action filters the list
of clusters that it returns.Future<ListClustersResult> listClustersAsync(ListClustersRequest listClustersRequest, AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
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.
listClustersRequest - 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.Future<ListClustersResult> listClustersAsync()
listClustersAsync(ListClustersRequest)Future<ListClustersResult> listClustersAsync(AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
Future<ListInstanceGroupsResult> listInstanceGroupsAsync(ListInstanceGroupsRequest listInstanceGroupsRequest)
Provides all available details about the instance groups in a cluster.
listInstanceGroupsRequest - This input determines which instance groups to retrieve.Future<ListInstanceGroupsResult> listInstanceGroupsAsync(ListInstanceGroupsRequest listInstanceGroupsRequest, AsyncHandler<ListInstanceGroupsRequest,ListInstanceGroupsResult> asyncHandler)
Provides all available details about the instance groups in a cluster.
listInstanceGroupsRequest - 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.Future<ListInstancesResult> listInstancesAsync(ListInstancesRequest listInstancesRequest)
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.
listInstancesRequest - This input determines which instances to list.Future<ListInstancesResult> listInstancesAsync(ListInstancesRequest listInstancesRequest, AsyncHandler<ListInstancesRequest,ListInstancesResult> asyncHandler)
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.
listInstancesRequest - 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.Future<ListStepsResult> listStepsAsync(ListStepsRequest listStepsRequest)
Provides a list of steps for the cluster.
listStepsRequest - This input determines which steps to list.Future<ListStepsResult> listStepsAsync(ListStepsRequest listStepsRequest, AsyncHandler<ListStepsRequest,ListStepsResult> asyncHandler)
Provides a list of steps for the cluster.
listStepsRequest - 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.Future<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest modifyInstanceGroupsRequest)
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.
modifyInstanceGroupsRequest - Change the size of some instance groups.Future<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest modifyInstanceGroupsRequest, AsyncHandler<ModifyInstanceGroupsRequest,ModifyInstanceGroupsResult> asyncHandler)
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.
modifyInstanceGroupsRequest - 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.Future<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync()
Future<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync(AsyncHandler<ModifyInstanceGroupsRequest,ModifyInstanceGroupsResult> asyncHandler)
Future<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest removeTagsRequest)
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:
removeTagsRequest - This input identifies a cluster and a list of tags to remove.Future<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest removeTagsRequest, AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
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:
removeTagsRequest - 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.Future<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest runJobFlowRequest)
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.
runJobFlowRequest - Input to the RunJobFlow operation.Future<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest runJobFlowRequest, AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
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.
runJobFlowRequest - 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.Future<SetTerminationProtectionResult> setTerminationProtectionAsync(SetTerminationProtectionRequest setTerminationProtectionRequest)
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.
setTerminationProtectionRequest - The input argument to the TerminationProtection operation.Future<SetTerminationProtectionResult> setTerminationProtectionAsync(SetTerminationProtectionRequest setTerminationProtectionRequest, AsyncHandler<SetTerminationProtectionRequest,SetTerminationProtectionResult> 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. 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.
setTerminationProtectionRequest - 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.Future<SetVisibleToAllUsersResult> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest)
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.
setVisibleToAllUsersRequest - The input to the SetVisibleToAllUsers action.Future<SetVisibleToAllUsersResult> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest, AsyncHandler<SetVisibleToAllUsersRequest,SetVisibleToAllUsersResult> asyncHandler)
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.
setVisibleToAllUsersRequest - 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.Future<TerminateJobFlowsResult> terminateJobFlowsAsync(TerminateJobFlowsRequest terminateJobFlowsRequest)
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.
terminateJobFlowsRequest - Input to the TerminateJobFlows operation.Future<TerminateJobFlowsResult> terminateJobFlowsAsync(TerminateJobFlowsRequest terminateJobFlowsRequest, AsyncHandler<TerminateJobFlowsRequest,TerminateJobFlowsResult> asyncHandler)
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.
terminateJobFlowsRequest - 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.Copyright © 2016. All rights reserved.