@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonElasticMapReduceAsync extends AmazonElasticMapReduce
AsyncHandler can be used to receive
notification when an asynchronous operation completes.
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
AbstractAmazonElasticMapReduceAsync instead.
Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data warehouse management.
ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
Future<AddInstanceFleetResult> |
addInstanceFleetAsync(AddInstanceFleetRequest addInstanceFleetRequest)
Adds an instance fleet to a running cluster.
|
Future<AddInstanceFleetResult> |
addInstanceFleetAsync(AddInstanceFleetRequest addInstanceFleetRequest,
AsyncHandler<AddInstanceFleetRequest,AddInstanceFleetResult> asyncHandler)
Adds an instance fleet to a running cluster.
|
Future<AddInstanceGroupsResult> |
addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest)
Adds one or more instance groups to a running cluster.
|
Future<AddInstanceGroupsResult> |
addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest,
AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
Adds one or more instance groups to a running cluster.
|
Future<AddJobFlowStepsResult> |
addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest)
AddJobFlowSteps adds new steps to a running cluster.
|
Future<AddJobFlowStepsResult> |
addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest,
AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
AddJobFlowSteps adds new steps to a running cluster.
|
Future<AddTagsResult> |
addTagsAsync(AddTagsRequest addTagsRequest)
Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio.
|
Future<AddTagsResult> |
addTagsAsync(AddTagsRequest addTagsRequest,
AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio.
|
Future<CancelStepsResult> |
cancelStepsAsync(CancelStepsRequest cancelStepsRequest)
Cancels a pending step or steps in a running cluster.
|
Future<CancelStepsResult> |
cancelStepsAsync(CancelStepsRequest cancelStepsRequest,
AsyncHandler<CancelStepsRequest,CancelStepsResult> asyncHandler)
Cancels a pending step or steps in a running cluster.
|
Future<CreateSecurityConfigurationResult> |
createSecurityConfigurationAsync(CreateSecurityConfigurationRequest createSecurityConfigurationRequest)
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
|
Future<CreateSecurityConfigurationResult> |
createSecurityConfigurationAsync(CreateSecurityConfigurationRequest createSecurityConfigurationRequest,
AsyncHandler<CreateSecurityConfigurationRequest,CreateSecurityConfigurationResult> asyncHandler)
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
|
Future<CreateStudioResult> |
createStudioAsync(CreateStudioRequest createStudioRequest)
Creates a new Amazon EMR Studio.
|
Future<CreateStudioResult> |
createStudioAsync(CreateStudioRequest createStudioRequest,
AsyncHandler<CreateStudioRequest,CreateStudioResult> asyncHandler)
Creates a new Amazon EMR Studio.
|
Future<CreateStudioSessionMappingResult> |
createStudioSessionMappingAsync(CreateStudioSessionMappingRequest createStudioSessionMappingRequest)
Maps a user or group to the Amazon EMR Studio specified by
StudioId, and applies a session policy to
refine Studio permissions for that user or group. |
Future<CreateStudioSessionMappingResult> |
createStudioSessionMappingAsync(CreateStudioSessionMappingRequest createStudioSessionMappingRequest,
AsyncHandler<CreateStudioSessionMappingRequest,CreateStudioSessionMappingResult> asyncHandler)
Maps a user or group to the Amazon EMR Studio specified by
StudioId, and applies a session policy to
refine Studio permissions for that user or group. |
Future<DeleteSecurityConfigurationResult> |
deleteSecurityConfigurationAsync(DeleteSecurityConfigurationRequest deleteSecurityConfigurationRequest)
Deletes a security configuration.
|
Future<DeleteSecurityConfigurationResult> |
deleteSecurityConfigurationAsync(DeleteSecurityConfigurationRequest deleteSecurityConfigurationRequest,
AsyncHandler<DeleteSecurityConfigurationRequest,DeleteSecurityConfigurationResult> asyncHandler)
Deletes a security configuration.
|
Future<DeleteStudioResult> |
deleteStudioAsync(DeleteStudioRequest deleteStudioRequest)
Removes an Amazon EMR Studio from the Studio metadata store.
|
Future<DeleteStudioResult> |
deleteStudioAsync(DeleteStudioRequest deleteStudioRequest,
AsyncHandler<DeleteStudioRequest,DeleteStudioResult> asyncHandler)
Removes an Amazon EMR Studio from the Studio metadata store.
|
Future<DeleteStudioSessionMappingResult> |
deleteStudioSessionMappingAsync(DeleteStudioSessionMappingRequest deleteStudioSessionMappingRequest)
Removes a user or group from an Amazon EMR Studio.
|
Future<DeleteStudioSessionMappingResult> |
deleteStudioSessionMappingAsync(DeleteStudioSessionMappingRequest deleteStudioSessionMappingRequest,
AsyncHandler<DeleteStudioSessionMappingRequest,DeleteStudioSessionMappingResult> asyncHandler)
Removes a user or group from an Amazon EMR Studio.
|
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)
Deprecated.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync(DescribeJobFlowsRequest describeJobFlowsRequest)
Deprecated.
|
Future<DescribeJobFlowsResult> |
describeJobFlowsAsync(DescribeJobFlowsRequest describeJobFlowsRequest,
AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
Deprecated.
|
Future<DescribeNotebookExecutionResult> |
describeNotebookExecutionAsync(DescribeNotebookExecutionRequest describeNotebookExecutionRequest)
Provides details of a notebook execution.
|
Future<DescribeNotebookExecutionResult> |
describeNotebookExecutionAsync(DescribeNotebookExecutionRequest describeNotebookExecutionRequest,
AsyncHandler<DescribeNotebookExecutionRequest,DescribeNotebookExecutionResult> asyncHandler)
Provides details of a notebook execution.
|
Future<DescribeReleaseLabelResult> |
describeReleaseLabelAsync(DescribeReleaseLabelRequest describeReleaseLabelRequest)
Provides Amazon EMR release label details, such as the releases available the Region where the API request is
run, and the available applications for a specific Amazon EMR release label.
|
Future<DescribeReleaseLabelResult> |
describeReleaseLabelAsync(DescribeReleaseLabelRequest describeReleaseLabelRequest,
AsyncHandler<DescribeReleaseLabelRequest,DescribeReleaseLabelResult> asyncHandler)
Provides Amazon EMR release label details, such as the releases available the Region where the API request is
run, and the available applications for a specific Amazon EMR release label.
|
Future<DescribeSecurityConfigurationResult> |
describeSecurityConfigurationAsync(DescribeSecurityConfigurationRequest describeSecurityConfigurationRequest)
Provides the details of a security configuration by returning the configuration JSON.
|
Future<DescribeSecurityConfigurationResult> |
describeSecurityConfigurationAsync(DescribeSecurityConfigurationRequest describeSecurityConfigurationRequest,
AsyncHandler<DescribeSecurityConfigurationRequest,DescribeSecurityConfigurationResult> asyncHandler)
Provides the details of a security configuration by returning the configuration JSON.
|
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<DescribeStudioResult> |
describeStudioAsync(DescribeStudioRequest describeStudioRequest)
Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
|
Future<DescribeStudioResult> |
describeStudioAsync(DescribeStudioRequest describeStudioRequest,
AsyncHandler<DescribeStudioRequest,DescribeStudioResult> asyncHandler)
Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
|
Future<GetAutoTerminationPolicyResult> |
getAutoTerminationPolicyAsync(GetAutoTerminationPolicyRequest getAutoTerminationPolicyRequest)
Returns the auto-termination policy for an Amazon EMR cluster.
|
Future<GetAutoTerminationPolicyResult> |
getAutoTerminationPolicyAsync(GetAutoTerminationPolicyRequest getAutoTerminationPolicyRequest,
AsyncHandler<GetAutoTerminationPolicyRequest,GetAutoTerminationPolicyResult> asyncHandler)
Returns the auto-termination policy for an Amazon EMR cluster.
|
Future<GetBlockPublicAccessConfigurationResult> |
getBlockPublicAccessConfigurationAsync(GetBlockPublicAccessConfigurationRequest getBlockPublicAccessConfigurationRequest)
Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current
Region.
|
Future<GetBlockPublicAccessConfigurationResult> |
getBlockPublicAccessConfigurationAsync(GetBlockPublicAccessConfigurationRequest getBlockPublicAccessConfigurationRequest,
AsyncHandler<GetBlockPublicAccessConfigurationRequest,GetBlockPublicAccessConfigurationResult> asyncHandler)
Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current
Region.
|
Future<GetClusterSessionCredentialsResult> |
getClusterSessionCredentialsAsync(GetClusterSessionCredentialsRequest getClusterSessionCredentialsRequest)
Provides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a
cluster with fine-grained access control activated.
|
Future<GetClusterSessionCredentialsResult> |
getClusterSessionCredentialsAsync(GetClusterSessionCredentialsRequest getClusterSessionCredentialsRequest,
AsyncHandler<GetClusterSessionCredentialsRequest,GetClusterSessionCredentialsResult> asyncHandler)
Provides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a
cluster with fine-grained access control activated.
|
Future<GetManagedScalingPolicyResult> |
getManagedScalingPolicyAsync(GetManagedScalingPolicyRequest getManagedScalingPolicyRequest)
Fetches the attached managed scaling policy for an Amazon EMR cluster.
|
Future<GetManagedScalingPolicyResult> |
getManagedScalingPolicyAsync(GetManagedScalingPolicyRequest getManagedScalingPolicyRequest,
AsyncHandler<GetManagedScalingPolicyRequest,GetManagedScalingPolicyResult> asyncHandler)
Fetches the attached managed scaling policy for an Amazon EMR cluster.
|
Future<GetStudioSessionMappingResult> |
getStudioSessionMappingAsync(GetStudioSessionMappingRequest getStudioSessionMappingRequest)
Fetches mapping details for the specified Amazon EMR Studio and identity (user or group).
|
Future<GetStudioSessionMappingResult> |
getStudioSessionMappingAsync(GetStudioSessionMappingRequest getStudioSessionMappingRequest,
AsyncHandler<GetStudioSessionMappingRequest,GetStudioSessionMappingResult> asyncHandler)
Fetches mapping details for the specified Amazon EMR Studio and identity (user or group).
|
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 Amazon Web Services account.
|
Future<ListClustersResult> |
listClustersAsync(ListClustersRequest listClustersRequest,
AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
Provides the status of all clusters visible to this Amazon Web Services account.
|
Future<ListInstanceFleetsResult> |
listInstanceFleetsAsync(ListInstanceFleetsRequest listInstanceFleetsRequest)
Lists all available details about the instance fleets in a cluster.
|
Future<ListInstanceFleetsResult> |
listInstanceFleetsAsync(ListInstanceFleetsRequest listInstanceFleetsRequest,
AsyncHandler<ListInstanceFleetsRequest,ListInstanceFleetsResult> asyncHandler)
Lists all available details about the instance fleets in a cluster.
|
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 for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days,
up to a maximum of 2,000.
|
Future<ListInstancesResult> |
listInstancesAsync(ListInstancesRequest listInstancesRequest,
AsyncHandler<ListInstancesRequest,ListInstancesResult> asyncHandler)
Provides information for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days,
up to a maximum of 2,000.
|
Future<ListNotebookExecutionsResult> |
listNotebookExecutionsAsync(ListNotebookExecutionsRequest listNotebookExecutionsRequest)
Provides summaries of all notebook executions.
|
Future<ListNotebookExecutionsResult> |
listNotebookExecutionsAsync(ListNotebookExecutionsRequest listNotebookExecutionsRequest,
AsyncHandler<ListNotebookExecutionsRequest,ListNotebookExecutionsResult> asyncHandler)
Provides summaries of all notebook executions.
|
Future<ListReleaseLabelsResult> |
listReleaseLabelsAsync(ListReleaseLabelsRequest listReleaseLabelsRequest)
Retrieves release labels of Amazon EMR services in the Region where the API is called.
|
Future<ListReleaseLabelsResult> |
listReleaseLabelsAsync(ListReleaseLabelsRequest listReleaseLabelsRequest,
AsyncHandler<ListReleaseLabelsRequest,ListReleaseLabelsResult> asyncHandler)
Retrieves release labels of Amazon EMR services in the Region where the API is called.
|
Future<ListSecurityConfigurationsResult> |
listSecurityConfigurationsAsync(ListSecurityConfigurationsRequest listSecurityConfigurationsRequest)
Lists all the security configurations visible to this account, providing their creation dates and times, and
their names.
|
Future<ListSecurityConfigurationsResult> |
listSecurityConfigurationsAsync(ListSecurityConfigurationsRequest listSecurityConfigurationsRequest,
AsyncHandler<ListSecurityConfigurationsRequest,ListSecurityConfigurationsResult> asyncHandler)
Lists all the security configurations visible to this account, providing their creation dates and times, and
their names.
|
Future<ListStepsResult> |
listStepsAsync(ListStepsRequest listStepsRequest)
Provides a list of steps for the cluster in reverse order unless you specify
stepIds with the
request or filter by StepStates. |
Future<ListStepsResult> |
listStepsAsync(ListStepsRequest listStepsRequest,
AsyncHandler<ListStepsRequest,ListStepsResult> asyncHandler)
Provides a list of steps for the cluster in reverse order unless you specify
stepIds with the
request or filter by StepStates. |
Future<ListStudiosResult> |
listStudiosAsync(ListStudiosRequest listStudiosRequest)
Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account.
|
Future<ListStudiosResult> |
listStudiosAsync(ListStudiosRequest listStudiosRequest,
AsyncHandler<ListStudiosRequest,ListStudiosResult> asyncHandler)
Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account.
|
Future<ListStudioSessionMappingsResult> |
listStudioSessionMappingsAsync(ListStudioSessionMappingsRequest listStudioSessionMappingsRequest)
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by
StudioId
. |
Future<ListStudioSessionMappingsResult> |
listStudioSessionMappingsAsync(ListStudioSessionMappingsRequest listStudioSessionMappingsRequest,
AsyncHandler<ListStudioSessionMappingsRequest,ListStudioSessionMappingsResult> asyncHandler)
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by
StudioId
. |
Future<ListSupportedInstanceTypesResult> |
listSupportedInstanceTypesAsync(ListSupportedInstanceTypesRequest listSupportedInstanceTypesRequest)
A list of the instance types that Amazon EMR supports.
|
Future<ListSupportedInstanceTypesResult> |
listSupportedInstanceTypesAsync(ListSupportedInstanceTypesRequest listSupportedInstanceTypesRequest,
AsyncHandler<ListSupportedInstanceTypesRequest,ListSupportedInstanceTypesResult> asyncHandler)
A list of the instance types that Amazon EMR supports.
|
Future<ModifyClusterResult> |
modifyClusterAsync(ModifyClusterRequest modifyClusterRequest)
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
|
Future<ModifyClusterResult> |
modifyClusterAsync(ModifyClusterRequest modifyClusterRequest,
AsyncHandler<ModifyClusterRequest,ModifyClusterResult> asyncHandler)
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
|
Future<ModifyInstanceFleetResult> |
modifyInstanceFleetAsync(ModifyInstanceFleetRequest modifyInstanceFleetRequest)
Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified
InstanceFleetID within the cluster specified using ClusterID.
|
Future<ModifyInstanceFleetResult> |
modifyInstanceFleetAsync(ModifyInstanceFleetRequest modifyInstanceFleetRequest,
AsyncHandler<ModifyInstanceFleetRequest,ModifyInstanceFleetResult> asyncHandler)
Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified
InstanceFleetID within the cluster specified using ClusterID.
|
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<PutAutoScalingPolicyResult> |
putAutoScalingPolicyAsync(PutAutoScalingPolicyRequest putAutoScalingPolicyRequest)
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR
cluster.
|
Future<PutAutoScalingPolicyResult> |
putAutoScalingPolicyAsync(PutAutoScalingPolicyRequest putAutoScalingPolicyRequest,
AsyncHandler<PutAutoScalingPolicyRequest,PutAutoScalingPolicyResult> asyncHandler)
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR
cluster.
|
Future<PutAutoTerminationPolicyResult> |
putAutoTerminationPolicyAsync(PutAutoTerminationPolicyRequest putAutoTerminationPolicyRequest)
|
Future<PutAutoTerminationPolicyResult> |
putAutoTerminationPolicyAsync(PutAutoTerminationPolicyRequest putAutoTerminationPolicyRequest,
AsyncHandler<PutAutoTerminationPolicyRequest,PutAutoTerminationPolicyResult> asyncHandler)
|
Future<PutBlockPublicAccessConfigurationResult> |
putBlockPublicAccessConfigurationAsync(PutBlockPublicAccessConfigurationRequest putBlockPublicAccessConfigurationRequest)
Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the
current Region.
|
Future<PutBlockPublicAccessConfigurationResult> |
putBlockPublicAccessConfigurationAsync(PutBlockPublicAccessConfigurationRequest putBlockPublicAccessConfigurationRequest,
AsyncHandler<PutBlockPublicAccessConfigurationRequest,PutBlockPublicAccessConfigurationResult> asyncHandler)
Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the
current Region.
|
Future<PutManagedScalingPolicyResult> |
putManagedScalingPolicyAsync(PutManagedScalingPolicyRequest putManagedScalingPolicyRequest)
Creates or updates a managed scaling policy for an Amazon EMR cluster.
|
Future<PutManagedScalingPolicyResult> |
putManagedScalingPolicyAsync(PutManagedScalingPolicyRequest putManagedScalingPolicyRequest,
AsyncHandler<PutManagedScalingPolicyRequest,PutManagedScalingPolicyResult> asyncHandler)
Creates or updates a managed scaling policy for an Amazon EMR cluster.
|
Future<RemoveAutoScalingPolicyResult> |
removeAutoScalingPolicyAsync(RemoveAutoScalingPolicyRequest removeAutoScalingPolicyRequest)
Removes an automatic scaling policy from a specified instance group within an Amazon EMR cluster.
|
Future<RemoveAutoScalingPolicyResult> |
removeAutoScalingPolicyAsync(RemoveAutoScalingPolicyRequest removeAutoScalingPolicyRequest,
AsyncHandler<RemoveAutoScalingPolicyRequest,RemoveAutoScalingPolicyResult> asyncHandler)
Removes an automatic scaling policy from a specified instance group within an Amazon EMR cluster.
|
Future<RemoveAutoTerminationPolicyResult> |
removeAutoTerminationPolicyAsync(RemoveAutoTerminationPolicyRequest removeAutoTerminationPolicyRequest)
Removes an auto-termination policy from an Amazon EMR cluster.
|
Future<RemoveAutoTerminationPolicyResult> |
removeAutoTerminationPolicyAsync(RemoveAutoTerminationPolicyRequest removeAutoTerminationPolicyRequest,
AsyncHandler<RemoveAutoTerminationPolicyRequest,RemoveAutoTerminationPolicyResult> asyncHandler)
Removes an auto-termination policy from an Amazon EMR cluster.
|
Future<RemoveManagedScalingPolicyResult> |
removeManagedScalingPolicyAsync(RemoveManagedScalingPolicyRequest removeManagedScalingPolicyRequest)
Removes a managed scaling policy from a specified Amazon EMR cluster.
|
Future<RemoveManagedScalingPolicyResult> |
removeManagedScalingPolicyAsync(RemoveManagedScalingPolicyRequest removeManagedScalingPolicyRequest,
AsyncHandler<RemoveManagedScalingPolicyRequest,RemoveManagedScalingPolicyResult> asyncHandler)
Removes a managed scaling policy from a specified Amazon EMR cluster.
|
Future<RemoveTagsResult> |
removeTagsAsync(RemoveTagsRequest removeTagsRequest)
Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio.
|
Future<RemoveTagsResult> |
removeTagsAsync(RemoveTagsRequest removeTagsRequest,
AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio.
|
Future<RunJobFlowResult> |
runJobFlowAsync(RunJobFlowRequest runJobFlowRequest)
RunJobFlow creates and starts running a new cluster (job flow).
|
Future<RunJobFlowResult> |
runJobFlowAsync(RunJobFlowRequest runJobFlowRequest,
AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
RunJobFlow creates and starts running a new cluster (job flow).
|
Future<SetKeepJobFlowAliveWhenNoStepsResult> |
setKeepJobFlowAliveWhenNoStepsAsync(SetKeepJobFlowAliveWhenNoStepsRequest setKeepJobFlowAliveWhenNoStepsRequest)
You can use the
SetKeepJobFlowAliveWhenNoSteps to configure a cluster (job flow) to terminate after
the step execution, i.e., all your steps are executed. |
Future<SetKeepJobFlowAliveWhenNoStepsResult> |
setKeepJobFlowAliveWhenNoStepsAsync(SetKeepJobFlowAliveWhenNoStepsRequest setKeepJobFlowAliveWhenNoStepsRequest,
AsyncHandler<SetKeepJobFlowAliveWhenNoStepsRequest,SetKeepJobFlowAliveWhenNoStepsResult> asyncHandler)
You can use the
SetKeepJobFlowAliveWhenNoSteps to configure a cluster (job flow) to terminate after
the step execution, i.e., all your steps are executed. |
Future<SetTerminationProtectionResult> |
setTerminationProtectionAsync(SetTerminationProtectionRequest setTerminationProtectionRequest)
SetTerminationProtection locks a cluster (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 cluster (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<SetUnhealthyNodeReplacementResult> |
setUnhealthyNodeReplacementAsync(SetUnhealthyNodeReplacementRequest setUnhealthyNodeReplacementRequest)
Specify whether to enable unhealthy node replacement, which lets Amazon EMR gracefully replace core nodes on a
cluster if any nodes become unhealthy.
|
Future<SetUnhealthyNodeReplacementResult> |
setUnhealthyNodeReplacementAsync(SetUnhealthyNodeReplacementRequest setUnhealthyNodeReplacementRequest,
AsyncHandler<SetUnhealthyNodeReplacementRequest,SetUnhealthyNodeReplacementResult> asyncHandler)
Specify whether to enable unhealthy node replacement, which lets Amazon EMR gracefully replace core nodes on a
cluster if any nodes become unhealthy.
|
Future<SetVisibleToAllUsersResult> |
setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest)
|
Future<SetVisibleToAllUsersResult> |
setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest,
AsyncHandler<SetVisibleToAllUsersRequest,SetVisibleToAllUsersResult> asyncHandler)
|
Future<StartNotebookExecutionResult> |
startNotebookExecutionAsync(StartNotebookExecutionRequest startNotebookExecutionRequest)
Starts a notebook execution.
|
Future<StartNotebookExecutionResult> |
startNotebookExecutionAsync(StartNotebookExecutionRequest startNotebookExecutionRequest,
AsyncHandler<StartNotebookExecutionRequest,StartNotebookExecutionResult> asyncHandler)
Starts a notebook execution.
|
Future<StopNotebookExecutionResult> |
stopNotebookExecutionAsync(StopNotebookExecutionRequest stopNotebookExecutionRequest)
Stops a notebook execution.
|
Future<StopNotebookExecutionResult> |
stopNotebookExecutionAsync(StopNotebookExecutionRequest stopNotebookExecutionRequest,
AsyncHandler<StopNotebookExecutionRequest,StopNotebookExecutionResult> asyncHandler)
Stops a notebook execution.
|
Future<TerminateJobFlowsResult> |
terminateJobFlowsAsync(TerminateJobFlowsRequest terminateJobFlowsRequest)
TerminateJobFlows shuts a list of clusters (job flows) down.
|
Future<TerminateJobFlowsResult> |
terminateJobFlowsAsync(TerminateJobFlowsRequest terminateJobFlowsRequest,
AsyncHandler<TerminateJobFlowsRequest,TerminateJobFlowsResult> asyncHandler)
TerminateJobFlows shuts a list of clusters (job flows) down.
|
Future<UpdateStudioResult> |
updateStudioAsync(UpdateStudioRequest updateStudioRequest)
Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
|
Future<UpdateStudioResult> |
updateStudioAsync(UpdateStudioRequest updateStudioRequest,
AsyncHandler<UpdateStudioRequest,UpdateStudioResult> asyncHandler)
Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
|
Future<UpdateStudioSessionMappingResult> |
updateStudioSessionMappingAsync(UpdateStudioSessionMappingRequest updateStudioSessionMappingRequest)
Updates the session policy attached to the user or group for the specified Amazon EMR Studio.
|
Future<UpdateStudioSessionMappingResult> |
updateStudioSessionMappingAsync(UpdateStudioSessionMappingRequest updateStudioSessionMappingRequest,
AsyncHandler<UpdateStudioSessionMappingRequest,UpdateStudioSessionMappingResult> asyncHandler)
Updates the session policy attached to the user or group for the specified Amazon EMR Studio.
|
addInstanceFleet, addInstanceGroups, addJobFlowSteps, addTags, cancelSteps, createSecurityConfiguration, createStudio, createStudioSessionMapping, deleteSecurityConfiguration, deleteStudio, deleteStudioSessionMapping, describeCluster, describeJobFlows, describeJobFlows, describeNotebookExecution, describeReleaseLabel, describeSecurityConfiguration, describeStep, describeStudio, getAutoTerminationPolicy, getBlockPublicAccessConfiguration, getCachedResponseMetadata, getClusterSessionCredentials, getManagedScalingPolicy, getStudioSessionMapping, listBootstrapActions, listClusters, listClusters, listInstanceFleets, listInstanceGroups, listInstances, listNotebookExecutions, listReleaseLabels, listSecurityConfigurations, listSteps, listStudios, listStudioSessionMappings, listSupportedInstanceTypes, modifyCluster, modifyInstanceFleet, modifyInstanceGroups, modifyInstanceGroups, putAutoScalingPolicy, putAutoTerminationPolicy, putBlockPublicAccessConfiguration, putManagedScalingPolicy, removeAutoScalingPolicy, removeAutoTerminationPolicy, removeManagedScalingPolicy, removeTags, runJobFlow, setEndpoint, setKeepJobFlowAliveWhenNoSteps, setRegion, setTerminationProtection, setUnhealthyNodeReplacement, setVisibleToAllUsers, shutdown, startNotebookExecution, stopNotebookExecution, terminateJobFlows, updateStudio, updateStudioSessionMapping, waitersFuture<AddInstanceFleetResult> addInstanceFleetAsync(AddInstanceFleetRequest addInstanceFleetRequest)
Adds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x.
addInstanceFleetRequest - Future<AddInstanceFleetResult> addInstanceFleetAsync(AddInstanceFleetRequest addInstanceFleetRequest, AsyncHandler<AddInstanceFleetRequest,AddInstanceFleetResult> asyncHandler)
Adds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x.
addInstanceFleetRequest - 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<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest)
Adds one or more instance groups to a running cluster.
addInstanceGroupsRequest - Input to an AddInstanceGroups call.Future<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest addInstanceGroupsRequest, AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
Adds one or more instance groups 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 cluster. A maximum of 256 steps are allowed in each job flow.
If your cluster 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 SSH to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop.
A step specifies the location of a JAR file stored either on the master node of the cluster 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.
Amazon EMR 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 cluster that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
The string values passed into HadoopJarStep object cannot exceed a total of 10240 characters.
addJobFlowStepsRequest - The input argument to the AddJobFlowSteps operation.Future<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest addJobFlowStepsRequest, AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
AddJobFlowSteps adds new steps to a running cluster. A maximum of 256 steps are allowed in each job flow.
If your cluster 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 SSH to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop.
A step specifies the location of a JAR file stored either on the master node of the cluster 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.
Amazon EMR 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 cluster that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
The string values passed into HadoopJarStep object cannot exceed a total of 10240 characters.
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, such as a cluster or an Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
addTagsRequest - This input identifies an Amazon EMR resource and a list of tags to attach.Future<AddTagsResult> addTagsAsync(AddTagsRequest addTagsRequest, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
addTagsRequest - This input identifies an Amazon EMR resource 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<CancelStepsResult> cancelStepsAsync(CancelStepsRequest cancelStepsRequest)
Cancels a pending step or steps in a running cluster. Available only in Amazon EMR versions 4.8.0 and later,
excluding version 5.0.0. A maximum of 256 steps are allowed in each CancelSteps request. CancelSteps is
idempotent but asynchronous; it does not guarantee that a step will be canceled, even if the request is
successfully submitted. When you use Amazon EMR releases 5.28.0 and later, you can cancel steps that are in a
PENDING or RUNNING state. In earlier versions of Amazon EMR, you can only cancel steps
that are in a PENDING state.
cancelStepsRequest - The input argument to the CancelSteps operation.Future<CancelStepsResult> cancelStepsAsync(CancelStepsRequest cancelStepsRequest, AsyncHandler<CancelStepsRequest,CancelStepsResult> asyncHandler)
Cancels a pending step or steps in a running cluster. Available only in Amazon EMR versions 4.8.0 and later,
excluding version 5.0.0. A maximum of 256 steps are allowed in each CancelSteps request. CancelSteps is
idempotent but asynchronous; it does not guarantee that a step will be canceled, even if the request is
successfully submitted. When you use Amazon EMR releases 5.28.0 and later, you can cancel steps that are in a
PENDING or RUNNING state. In earlier versions of Amazon EMR, you can only cancel steps
that are in a PENDING state.
cancelStepsRequest - The input argument to the CancelSteps 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<CreateSecurityConfigurationResult> createSecurityConfigurationAsync(CreateSecurityConfigurationRequest createSecurityConfigurationRequest)
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
createSecurityConfigurationRequest - Future<CreateSecurityConfigurationResult> createSecurityConfigurationAsync(CreateSecurityConfigurationRequest createSecurityConfigurationRequest, AsyncHandler<CreateSecurityConfigurationRequest,CreateSecurityConfigurationResult> asyncHandler)
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
createSecurityConfigurationRequest - 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<CreateStudioResult> createStudioAsync(CreateStudioRequest createStudioRequest)
Creates a new Amazon EMR Studio.
createStudioRequest - Future<CreateStudioResult> createStudioAsync(CreateStudioRequest createStudioRequest, AsyncHandler<CreateStudioRequest,CreateStudioResult> asyncHandler)
Creates a new Amazon EMR Studio.
createStudioRequest - 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<CreateStudioSessionMappingResult> createStudioSessionMappingAsync(CreateStudioSessionMappingRequest createStudioSessionMappingRequest)
Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to
refine Studio permissions for that user or group. Use CreateStudioSessionMapping to assign users to
a Studio when you use IAM Identity Center authentication. For instructions on how to assign users to a Studio
when you use IAM authentication, see Assign a user or group to your EMR Studio.
createStudioSessionMappingRequest - Future<CreateStudioSessionMappingResult> createStudioSessionMappingAsync(CreateStudioSessionMappingRequest createStudioSessionMappingRequest, AsyncHandler<CreateStudioSessionMappingRequest,CreateStudioSessionMappingResult> asyncHandler)
Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to
refine Studio permissions for that user or group. Use CreateStudioSessionMapping to assign users to
a Studio when you use IAM Identity Center authentication. For instructions on how to assign users to a Studio
when you use IAM authentication, see Assign a user or group to your EMR Studio.
createStudioSessionMappingRequest - 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<DeleteSecurityConfigurationResult> deleteSecurityConfigurationAsync(DeleteSecurityConfigurationRequest deleteSecurityConfigurationRequest)
Deletes a security configuration.
deleteSecurityConfigurationRequest - Future<DeleteSecurityConfigurationResult> deleteSecurityConfigurationAsync(DeleteSecurityConfigurationRequest deleteSecurityConfigurationRequest, AsyncHandler<DeleteSecurityConfigurationRequest,DeleteSecurityConfigurationResult> asyncHandler)
Deletes a security configuration.
deleteSecurityConfigurationRequest - 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<DeleteStudioResult> deleteStudioAsync(DeleteStudioRequest deleteStudioRequest)
Removes an Amazon EMR Studio from the Studio metadata store.
deleteStudioRequest - Future<DeleteStudioResult> deleteStudioAsync(DeleteStudioRequest deleteStudioRequest, AsyncHandler<DeleteStudioRequest,DeleteStudioResult> asyncHandler)
Removes an Amazon EMR Studio from the Studio metadata store.
deleteStudioRequest - 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<DeleteStudioSessionMappingResult> deleteStudioSessionMappingAsync(DeleteStudioSessionMappingRequest deleteStudioSessionMappingRequest)
Removes a user or group from an Amazon EMR Studio.
deleteStudioSessionMappingRequest - Future<DeleteStudioSessionMappingResult> deleteStudioSessionMappingAsync(DeleteStudioSessionMappingRequest deleteStudioSessionMappingRequest, AsyncHandler<DeleteStudioSessionMappingRequest,DeleteStudioSessionMappingResult> asyncHandler)
Removes a user or group from an Amazon EMR Studio.
deleteStudioSessionMappingRequest - 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.
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.
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 no longer supported and will eventually be removed. We recommend you use ListClusters, DescribeCluster, ListSteps, ListInstanceGroups and ListBootstrapActions instead.
DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.
Regardless of supplied parameters, only job flows created within the last two months are returned.
If no parameters are supplied, then job flows matching either of the following criteria are returned:
Job flows created and completed in the last two weeks
Job flows created within the last two months that are in one of the following states: RUNNING,
WAITING, SHUTTING_DOWN, STARTING
Amazon EMR 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 no longer supported and will eventually be removed. We recommend you use ListClusters, DescribeCluster, ListSteps, ListInstanceGroups and ListBootstrapActions instead.
DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.
Regardless of supplied parameters, only job flows created within the last two months are returned.
If no parameters are supplied, then job flows matching either of the following criteria are returned:
Job flows created and completed in the last two weeks
Job flows created within the last two months that are in one of the following states: RUNNING,
WAITING, SHUTTING_DOWN, STARTING
Amazon EMR 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()
@Deprecated Future<DescribeJobFlowsResult> describeJobFlowsAsync(AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
Future<DescribeNotebookExecutionResult> describeNotebookExecutionAsync(DescribeNotebookExecutionRequest describeNotebookExecutionRequest)
Provides details of a notebook execution.
describeNotebookExecutionRequest - Future<DescribeNotebookExecutionResult> describeNotebookExecutionAsync(DescribeNotebookExecutionRequest describeNotebookExecutionRequest, AsyncHandler<DescribeNotebookExecutionRequest,DescribeNotebookExecutionResult> asyncHandler)
Provides details of a notebook execution.
describeNotebookExecutionRequest - 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<DescribeReleaseLabelResult> describeReleaseLabelAsync(DescribeReleaseLabelRequest describeReleaseLabelRequest)
Provides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label. Can also list Amazon EMR releases that support a specified version of Spark.
describeReleaseLabelRequest - Future<DescribeReleaseLabelResult> describeReleaseLabelAsync(DescribeReleaseLabelRequest describeReleaseLabelRequest, AsyncHandler<DescribeReleaseLabelRequest,DescribeReleaseLabelResult> asyncHandler)
Provides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label. Can also list Amazon EMR releases that support a specified version of Spark.
describeReleaseLabelRequest - 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<DescribeSecurityConfigurationResult> describeSecurityConfigurationAsync(DescribeSecurityConfigurationRequest describeSecurityConfigurationRequest)
Provides the details of a security configuration by returning the configuration JSON.
describeSecurityConfigurationRequest - Future<DescribeSecurityConfigurationResult> describeSecurityConfigurationAsync(DescribeSecurityConfigurationRequest describeSecurityConfigurationRequest, AsyncHandler<DescribeSecurityConfigurationRequest,DescribeSecurityConfigurationResult> asyncHandler)
Provides the details of a security configuration by returning the configuration JSON.
describeSecurityConfigurationRequest - 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<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<DescribeStudioResult> describeStudioAsync(DescribeStudioRequest describeStudioRequest)
Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
describeStudioRequest - Future<DescribeStudioResult> describeStudioAsync(DescribeStudioRequest describeStudioRequest, AsyncHandler<DescribeStudioRequest,DescribeStudioResult> asyncHandler)
Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
describeStudioRequest - 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<GetAutoTerminationPolicyResult> getAutoTerminationPolicyAsync(GetAutoTerminationPolicyRequest getAutoTerminationPolicyRequest)
Returns the auto-termination policy for an Amazon EMR cluster.
getAutoTerminationPolicyRequest - Future<GetAutoTerminationPolicyResult> getAutoTerminationPolicyAsync(GetAutoTerminationPolicyRequest getAutoTerminationPolicyRequest, AsyncHandler<GetAutoTerminationPolicyRequest,GetAutoTerminationPolicyResult> asyncHandler)
Returns the auto-termination policy for an Amazon EMR cluster.
getAutoTerminationPolicyRequest - 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<GetBlockPublicAccessConfigurationResult> getBlockPublicAccessConfigurationAsync(GetBlockPublicAccessConfigurationRequest getBlockPublicAccessConfigurationRequest)
Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
getBlockPublicAccessConfigurationRequest - Future<GetBlockPublicAccessConfigurationResult> getBlockPublicAccessConfigurationAsync(GetBlockPublicAccessConfigurationRequest getBlockPublicAccessConfigurationRequest, AsyncHandler<GetBlockPublicAccessConfigurationRequest,GetBlockPublicAccessConfigurationResult> asyncHandler)
Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
getBlockPublicAccessConfigurationRequest - 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<GetClusterSessionCredentialsResult> getClusterSessionCredentialsAsync(GetClusterSessionCredentialsRequest getClusterSessionCredentialsRequest)
Provides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a cluster with fine-grained access control activated. You can use these credentials to connect to cluster endpoints that support username and password authentication.
getClusterSessionCredentialsRequest - Future<GetClusterSessionCredentialsResult> getClusterSessionCredentialsAsync(GetClusterSessionCredentialsRequest getClusterSessionCredentialsRequest, AsyncHandler<GetClusterSessionCredentialsRequest,GetClusterSessionCredentialsResult> asyncHandler)
Provides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a cluster with fine-grained access control activated. You can use these credentials to connect to cluster endpoints that support username and password authentication.
getClusterSessionCredentialsRequest - 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<GetManagedScalingPolicyResult> getManagedScalingPolicyAsync(GetManagedScalingPolicyRequest getManagedScalingPolicyRequest)
Fetches the attached managed scaling policy for an Amazon EMR cluster.
getManagedScalingPolicyRequest - Future<GetManagedScalingPolicyResult> getManagedScalingPolicyAsync(GetManagedScalingPolicyRequest getManagedScalingPolicyRequest, AsyncHandler<GetManagedScalingPolicyRequest,GetManagedScalingPolicyResult> asyncHandler)
Fetches the attached managed scaling policy for an Amazon EMR cluster.
getManagedScalingPolicyRequest - 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<GetStudioSessionMappingResult> getStudioSessionMappingAsync(GetStudioSessionMappingRequest getStudioSessionMappingRequest)
Fetches mapping details for the specified Amazon EMR Studio and identity (user or group).
getStudioSessionMappingRequest - Future<GetStudioSessionMappingResult> getStudioSessionMappingAsync(GetStudioSessionMappingRequest getStudioSessionMappingRequest, AsyncHandler<GetStudioSessionMappingRequest,GetStudioSessionMappingResult> asyncHandler)
Fetches mapping details for the specified Amazon EMR Studio and identity (user or group).
getStudioSessionMappingRequest - 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 Amazon Web Services 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 in unsorted order 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 Amazon Web Services 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 in unsorted order 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<ListInstanceFleetsResult> listInstanceFleetsAsync(ListInstanceFleetsRequest listInstanceFleetsRequest)
Lists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
listInstanceFleetsRequest - Future<ListInstanceFleetsResult> listInstanceFleetsAsync(ListInstanceFleetsRequest listInstanceFleetsRequest, AsyncHandler<ListInstanceFleetsRequest,ListInstanceFleetsResult> asyncHandler)
Lists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
listInstanceFleetsRequest - 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<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 for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days, up to a maximum of 2,000. Amazon EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT, PROVISIONING, BOOTSTRAPPING, RUNNING.
listInstancesRequest - This input determines which instances to list.Future<ListInstancesResult> listInstancesAsync(ListInstancesRequest listInstancesRequest, AsyncHandler<ListInstancesRequest,ListInstancesResult> asyncHandler)
Provides information for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days, up to a maximum of 2,000. Amazon EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT, PROVISIONING, BOOTSTRAPPING, RUNNING.
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<ListNotebookExecutionsResult> listNotebookExecutionsAsync(ListNotebookExecutionsRequest listNotebookExecutionsRequest)
Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status,
time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a
longer notebook execution list across multiple ListNotebookExecutions calls.
listNotebookExecutionsRequest - Future<ListNotebookExecutionsResult> listNotebookExecutionsAsync(ListNotebookExecutionsRequest listNotebookExecutionsRequest, AsyncHandler<ListNotebookExecutionsRequest,ListNotebookExecutionsResult> asyncHandler)
Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status,
time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a
longer notebook execution list across multiple ListNotebookExecutions calls.
listNotebookExecutionsRequest - 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<ListReleaseLabelsResult> listReleaseLabelsAsync(ListReleaseLabelsRequest listReleaseLabelsRequest)
Retrieves release labels of Amazon EMR services in the Region where the API is called.
listReleaseLabelsRequest - Future<ListReleaseLabelsResult> listReleaseLabelsAsync(ListReleaseLabelsRequest listReleaseLabelsRequest, AsyncHandler<ListReleaseLabelsRequest,ListReleaseLabelsResult> asyncHandler)
Retrieves release labels of Amazon EMR services in the Region where the API is called.
listReleaseLabelsRequest - 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<ListSecurityConfigurationsResult> listSecurityConfigurationsAsync(ListSecurityConfigurationsRequest listSecurityConfigurationsRequest)
Lists all the security configurations visible to this account, providing their creation dates and times, and their names. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the cluster list across multiple ListSecurityConfigurations calls.
listSecurityConfigurationsRequest - Future<ListSecurityConfigurationsResult> listSecurityConfigurationsAsync(ListSecurityConfigurationsRequest listSecurityConfigurationsRequest, AsyncHandler<ListSecurityConfigurationsRequest,ListSecurityConfigurationsResult> asyncHandler)
Lists all the security configurations visible to this account, providing their creation dates and times, and their names. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the cluster list across multiple ListSecurityConfigurations calls.
listSecurityConfigurationsRequest - 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 in reverse order unless you specify stepIds with the
request or filter by StepStates. You can specify a maximum of 10 stepIDs. The CLI
automatically paginates results to return a list greater than 50 steps. To return more than 50 steps using the
CLI, specify a Marker, which is a pagination token that indicates the next set of steps to retrieve.
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 in reverse order unless you specify stepIds with the
request or filter by StepStates. You can specify a maximum of 10 stepIDs. The CLI
automatically paginates results to return a list greater than 50 steps. To return more than 50 steps using the
CLI, specify a Marker, which is a pagination token that indicates the next set of steps to retrieve.
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<ListStudioSessionMappingsResult> listStudioSessionMappingsAsync(ListStudioSessionMappingsRequest listStudioSessionMappingsRequest)
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
.
listStudioSessionMappingsRequest - Future<ListStudioSessionMappingsResult> listStudioSessionMappingsAsync(ListStudioSessionMappingsRequest listStudioSessionMappingsRequest, AsyncHandler<ListStudioSessionMappingsRequest,ListStudioSessionMappingsResult> asyncHandler)
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
.
listStudioSessionMappingsRequest - 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<ListStudiosResult> listStudiosAsync(ListStudiosRequest listStudiosRequest)
Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account. The list includes details such as ID, Studio Access URL, and creation time for each Studio.
listStudiosRequest - Future<ListStudiosResult> listStudiosAsync(ListStudiosRequest listStudiosRequest, AsyncHandler<ListStudiosRequest,ListStudiosResult> asyncHandler)
Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account. The list includes details such as ID, Studio Access URL, and creation time for each Studio.
listStudiosRequest - 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<ListSupportedInstanceTypesResult> listSupportedInstanceTypesAsync(ListSupportedInstanceTypesRequest listSupportedInstanceTypesRequest)
A list of the instance types that Amazon EMR supports. You can filter the list by Amazon Web Services Region and Amazon EMR release.
listSupportedInstanceTypesRequest - Future<ListSupportedInstanceTypesResult> listSupportedInstanceTypesAsync(ListSupportedInstanceTypesRequest listSupportedInstanceTypesRequest, AsyncHandler<ListSupportedInstanceTypesRequest,ListSupportedInstanceTypesResult> asyncHandler)
A list of the instance types that Amazon EMR supports. You can filter the list by Amazon Web Services Region and Amazon EMR release.
listSupportedInstanceTypesRequest - 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<ModifyClusterResult> modifyClusterAsync(ModifyClusterRequest modifyClusterRequest)
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
modifyClusterRequest - Future<ModifyClusterResult> modifyClusterAsync(ModifyClusterRequest modifyClusterRequest, AsyncHandler<ModifyClusterRequest,ModifyClusterResult> asyncHandler)
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
modifyClusterRequest - 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<ModifyInstanceFleetResult> modifyInstanceFleetAsync(ModifyInstanceFleetRequest modifyInstanceFleetRequest)
Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID. The call either succeeds or fails atomically.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
modifyInstanceFleetRequest - Future<ModifyInstanceFleetResult> modifyInstanceFleetAsync(ModifyInstanceFleetRequest modifyInstanceFleetRequest, AsyncHandler<ModifyInstanceFleetRequest,ModifyInstanceFleetResult> asyncHandler)
Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID. The call either succeeds or fails atomically.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
modifyInstanceFleetRequest - 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<PutAutoScalingPolicyResult> putAutoScalingPolicyAsync(PutAutoScalingPolicyRequest putAutoScalingPolicyRequest)
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster. The automatic scaling policy defines how an instance group dynamically adds and terminates Amazon EC2 instances in response to the value of a CloudWatch metric.
putAutoScalingPolicyRequest - Future<PutAutoScalingPolicyResult> putAutoScalingPolicyAsync(PutAutoScalingPolicyRequest putAutoScalingPolicyRequest, AsyncHandler<PutAutoScalingPolicyRequest,PutAutoScalingPolicyResult> asyncHandler)
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster. The automatic scaling policy defines how an instance group dynamically adds and terminates Amazon EC2 instances in response to the value of a CloudWatch metric.
putAutoScalingPolicyRequest - 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<PutAutoTerminationPolicyResult> putAutoTerminationPolicyAsync(PutAutoTerminationPolicyRequest putAutoTerminationPolicyRequest)
Auto-termination is supported in Amazon EMR releases 5.30.0 and 6.1.0 and later. For more information, see Using an auto-termination policy.
Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster termination options, see Control cluster termination.
putAutoTerminationPolicyRequest - Future<PutAutoTerminationPolicyResult> putAutoTerminationPolicyAsync(PutAutoTerminationPolicyRequest putAutoTerminationPolicyRequest, AsyncHandler<PutAutoTerminationPolicyRequest,PutAutoTerminationPolicyResult> asyncHandler)
Auto-termination is supported in Amazon EMR releases 5.30.0 and 6.1.0 and later. For more information, see Using an auto-termination policy.
Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster termination options, see Control cluster termination.
putAutoTerminationPolicyRequest - 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<PutBlockPublicAccessConfigurationResult> putBlockPublicAccessConfigurationAsync(PutBlockPublicAccessConfigurationRequest putBlockPublicAccessConfigurationRequest)
Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
putBlockPublicAccessConfigurationRequest - Future<PutBlockPublicAccessConfigurationResult> putBlockPublicAccessConfigurationAsync(PutBlockPublicAccessConfigurationRequest putBlockPublicAccessConfigurationRequest, AsyncHandler<PutBlockPublicAccessConfigurationRequest,PutBlockPublicAccessConfigurationResult> asyncHandler)
Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
putBlockPublicAccessConfigurationRequest - 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<PutManagedScalingPolicyResult> putManagedScalingPolicyAsync(PutManagedScalingPolicyRequest putManagedScalingPolicyRequest)
Creates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the limits for resources, such as Amazon EC2 instances that can be added or terminated from a cluster. The policy only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
putManagedScalingPolicyRequest - Future<PutManagedScalingPolicyResult> putManagedScalingPolicyAsync(PutManagedScalingPolicyRequest putManagedScalingPolicyRequest, AsyncHandler<PutManagedScalingPolicyRequest,PutManagedScalingPolicyResult> asyncHandler)
Creates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the limits for resources, such as Amazon EC2 instances that can be added or terminated from a cluster. The policy only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
putManagedScalingPolicyRequest - 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<RemoveAutoScalingPolicyResult> removeAutoScalingPolicyAsync(RemoveAutoScalingPolicyRequest removeAutoScalingPolicyRequest)
Removes an automatic scaling policy from a specified instance group within an Amazon EMR cluster.
removeAutoScalingPolicyRequest - Future<RemoveAutoScalingPolicyResult> removeAutoScalingPolicyAsync(RemoveAutoScalingPolicyRequest removeAutoScalingPolicyRequest, AsyncHandler<RemoveAutoScalingPolicyRequest,RemoveAutoScalingPolicyResult> asyncHandler)
Removes an automatic scaling policy from a specified instance group within an Amazon EMR cluster.
removeAutoScalingPolicyRequest - 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<RemoveAutoTerminationPolicyResult> removeAutoTerminationPolicyAsync(RemoveAutoTerminationPolicyRequest removeAutoTerminationPolicyRequest)
Removes an auto-termination policy from an Amazon EMR cluster.
removeAutoTerminationPolicyRequest - Future<RemoveAutoTerminationPolicyResult> removeAutoTerminationPolicyAsync(RemoveAutoTerminationPolicyRequest removeAutoTerminationPolicyRequest, AsyncHandler<RemoveAutoTerminationPolicyRequest,RemoveAutoTerminationPolicyResult> asyncHandler)
Removes an auto-termination policy from an Amazon EMR cluster.
removeAutoTerminationPolicyRequest - 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<RemoveManagedScalingPolicyResult> removeManagedScalingPolicyAsync(RemoveManagedScalingPolicyRequest removeManagedScalingPolicyRequest)
Removes a managed scaling policy from a specified Amazon EMR cluster.
removeManagedScalingPolicyRequest - Future<RemoveManagedScalingPolicyResult> removeManagedScalingPolicyAsync(RemoveManagedScalingPolicyRequest removeManagedScalingPolicyRequest, AsyncHandler<RemoveManagedScalingPolicyRequest,RemoveManagedScalingPolicyResult> asyncHandler)
Removes a managed scaling policy from a specified Amazon EMR cluster.
removeManagedScalingPolicyRequest - 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<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest removeTagsRequest)
Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
The following example removes the stack tag with value Prod from a cluster:
removeTagsRequest - This input identifies an Amazon EMR resource and a list of tags to remove.Future<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest removeTagsRequest, AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
The following example removes the stack tag with value Prod from a cluster:
removeTagsRequest - This input identifies an Amazon EMR resource 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 cluster (job flow). The cluster runs the steps specified. After the
steps complete, the cluster stops 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 cluster transitions to the
WAITING state rather than shutting down after the steps have completed.
For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
parameter to TRUE to lock the cluster 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 cluster 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 long-running clusters, we recommend that you periodically store your results.
The instance fleets configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not both.
runJobFlowRequest - Input to the RunJobFlow operation.Future<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest runJobFlowRequest, AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
RunJobFlow creates and starts running a new cluster (job flow). The cluster runs the steps specified. After the
steps complete, the cluster stops 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 cluster transitions to the
WAITING state rather than shutting down after the steps have completed.
For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
parameter to TRUE to lock the cluster 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 cluster 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 long-running clusters, we recommend that you periodically store your results.
The instance fleets configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not both.
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<SetKeepJobFlowAliveWhenNoStepsResult> setKeepJobFlowAliveWhenNoStepsAsync(SetKeepJobFlowAliveWhenNoStepsRequest setKeepJobFlowAliveWhenNoStepsRequest)
You can use the SetKeepJobFlowAliveWhenNoSteps to configure a cluster (job flow) to terminate after
the step execution, i.e., all your steps are executed. If you want a transient cluster that shuts down after the
last of the current executing steps are completed, you can configure SetKeepJobFlowAliveWhenNoSteps
to false. If you want a long running cluster, configure SetKeepJobFlowAliveWhenNoSteps to true.
For more information, see Managing Cluster Termination in the Amazon EMR Management Guide.
setKeepJobFlowAliveWhenNoStepsRequest - Future<SetKeepJobFlowAliveWhenNoStepsResult> setKeepJobFlowAliveWhenNoStepsAsync(SetKeepJobFlowAliveWhenNoStepsRequest setKeepJobFlowAliveWhenNoStepsRequest, AsyncHandler<SetKeepJobFlowAliveWhenNoStepsRequest,SetKeepJobFlowAliveWhenNoStepsResult> asyncHandler)
You can use the SetKeepJobFlowAliveWhenNoSteps to configure a cluster (job flow) to terminate after
the step execution, i.e., all your steps are executed. If you want a transient cluster that shuts down after the
last of the current executing steps are completed, you can configure SetKeepJobFlowAliveWhenNoSteps
to false. If you want a long running cluster, configure SetKeepJobFlowAliveWhenNoSteps to true.
For more information, see Managing Cluster Termination in the Amazon EMR Management Guide.
setKeepJobFlowAliveWhenNoStepsRequest - 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 cluster (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 cluster is similar
to calling the Amazon EC2 DisableAPITermination API on all Amazon EC2 instances in a cluster.
SetTerminationProtection is used to prevent accidental termination of a cluster and to ensure that
in the event of an error, the instances persist so that you can recover any data stored in their ephemeral
instance storage.
To terminate a cluster 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, see Managing Cluster Termination in the Amazon EMR Management Guide.
setTerminationProtectionRequest - The input argument to the TerminationProtection operation.Future<SetTerminationProtectionResult> setTerminationProtectionAsync(SetTerminationProtectionRequest setTerminationProtectionRequest, AsyncHandler<SetTerminationProtectionRequest,SetTerminationProtectionResult> asyncHandler)
SetTerminationProtection locks a cluster (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 cluster is similar
to calling the Amazon EC2 DisableAPITermination API on all Amazon EC2 instances in a cluster.
SetTerminationProtection is used to prevent accidental termination of a cluster and to ensure that
in the event of an error, the instances persist so that you can recover any data stored in their ephemeral
instance storage.
To terminate a cluster 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, see Managing Cluster Termination in the Amazon EMR Management 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<SetUnhealthyNodeReplacementResult> setUnhealthyNodeReplacementAsync(SetUnhealthyNodeReplacementRequest setUnhealthyNodeReplacementRequest)
Specify whether to enable unhealthy node replacement, which lets Amazon EMR gracefully replace core nodes on a
cluster if any nodes become unhealthy. For example, a node becomes unhealthy if disk usage is above 90%. If
unhealthy node replacement is on and TerminationProtected are off, Amazon EMR immediately terminates
the unhealthy core nodes. To use unhealthy node replacement and retain unhealthy core nodes, use to turn on
termination protection. In such cases, Amazon EMR adds the unhealthy nodes to a denylist, reducing job
interruptions and failures.
If unhealthy node replacement is on, Amazon EMR notifies YARN and other applications on the cluster to stop scheduling tasks with these nodes, moves the data, and then terminates the nodes.
For more information, see graceful node replacement in the Amazon EMR Management Guide.
setUnhealthyNodeReplacementRequest - Future<SetUnhealthyNodeReplacementResult> setUnhealthyNodeReplacementAsync(SetUnhealthyNodeReplacementRequest setUnhealthyNodeReplacementRequest, AsyncHandler<SetUnhealthyNodeReplacementRequest,SetUnhealthyNodeReplacementResult> asyncHandler)
Specify whether to enable unhealthy node replacement, which lets Amazon EMR gracefully replace core nodes on a
cluster if any nodes become unhealthy. For example, a node becomes unhealthy if disk usage is above 90%. If
unhealthy node replacement is on and TerminationProtected are off, Amazon EMR immediately terminates
the unhealthy core nodes. To use unhealthy node replacement and retain unhealthy core nodes, use to turn on
termination protection. In such cases, Amazon EMR adds the unhealthy nodes to a denylist, reducing job
interruptions and failures.
If unhealthy node replacement is on, Amazon EMR notifies YARN and other applications on the cluster to stop scheduling tasks with these nodes, moves the data, and then terminates the nodes.
For more information, see graceful node replacement in the Amazon EMR Management Guide.
setUnhealthyNodeReplacementRequest - 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)
The SetVisibleToAllUsers parameter is no longer supported. Your cluster may be visible to all users in your account. To restrict cluster access using an IAM policy, see Identity and Access Management for Amazon EMR.
Sets the Cluster$VisibleToAllUsers value for an Amazon EMR cluster. When true, IAM principals
in the Amazon Web Services account can perform Amazon EMR cluster actions that their IAM policies allow. When
false, only the IAM principal that created the cluster and the Amazon Web Services account root user
can perform Amazon EMR actions on the cluster, regardless of IAM permissions policies attached to other IAM
principals.
This action works on running clusters. When you create a cluster, use the RunJobFlowInput$VisibleToAllUsers parameter.
For more information, see Understanding the Amazon EMR Cluster VisibleToAllUsers Setting in the Amazon EMR Management Guide.
setVisibleToAllUsersRequest - The input to the SetVisibleToAllUsers action.Future<SetVisibleToAllUsersResult> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest setVisibleToAllUsersRequest, AsyncHandler<SetVisibleToAllUsersRequest,SetVisibleToAllUsersResult> asyncHandler)
The SetVisibleToAllUsers parameter is no longer supported. Your cluster may be visible to all users in your account. To restrict cluster access using an IAM policy, see Identity and Access Management for Amazon EMR.
Sets the Cluster$VisibleToAllUsers value for an Amazon EMR cluster. When true, IAM principals
in the Amazon Web Services account can perform Amazon EMR cluster actions that their IAM policies allow. When
false, only the IAM principal that created the cluster and the Amazon Web Services account root user
can perform Amazon EMR actions on the cluster, regardless of IAM permissions policies attached to other IAM
principals.
This action works on running clusters. When you create a cluster, use the RunJobFlowInput$VisibleToAllUsers parameter.
For more information, see Understanding the Amazon EMR Cluster VisibleToAllUsers Setting in the Amazon EMR Management Guide.
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<StartNotebookExecutionResult> startNotebookExecutionAsync(StartNotebookExecutionRequest startNotebookExecutionRequest)
Starts a notebook execution.
startNotebookExecutionRequest - Future<StartNotebookExecutionResult> startNotebookExecutionAsync(StartNotebookExecutionRequest startNotebookExecutionRequest, AsyncHandler<StartNotebookExecutionRequest,StartNotebookExecutionResult> asyncHandler)
Starts a notebook execution.
startNotebookExecutionRequest - 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<StopNotebookExecutionResult> stopNotebookExecutionAsync(StopNotebookExecutionRequest stopNotebookExecutionRequest)
Stops a notebook execution.
stopNotebookExecutionRequest - Future<StopNotebookExecutionResult> stopNotebookExecutionAsync(StopNotebookExecutionRequest stopNotebookExecutionRequest, AsyncHandler<StopNotebookExecutionRequest,StopNotebookExecutionResult> asyncHandler)
Stops a notebook execution.
stopNotebookExecutionRequest - 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 clusters (job flows) down. When a job flow is shut down, any step not yet completed is canceled and the Amazon EC2 instances on which the cluster is running are stopped. Any log files not already saved are uploaded to Amazon S3 if a LogUri was specified when the cluster was created.
The maximum number of clusters allowed is 10. The call to TerminateJobFlows is asynchronous.
Depending on the configuration of the cluster, it may take up to 1-5 minutes for the cluster 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 clusters (job flows) down. When a job flow is shut down, any step not yet completed is canceled and the Amazon EC2 instances on which the cluster is running are stopped. Any log files not already saved are uploaded to Amazon S3 if a LogUri was specified when the cluster was created.
The maximum number of clusters allowed is 10. The call to TerminateJobFlows is asynchronous.
Depending on the configuration of the cluster, it may take up to 1-5 minutes for the cluster 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.Future<UpdateStudioResult> updateStudioAsync(UpdateStudioRequest updateStudioRequest)
Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
updateStudioRequest - Future<UpdateStudioResult> updateStudioAsync(UpdateStudioRequest updateStudioRequest, AsyncHandler<UpdateStudioRequest,UpdateStudioResult> asyncHandler)
Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
updateStudioRequest - 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<UpdateStudioSessionMappingResult> updateStudioSessionMappingAsync(UpdateStudioSessionMappingRequest updateStudioSessionMappingRequest)
Updates the session policy attached to the user or group for the specified Amazon EMR Studio.
updateStudioSessionMappingRequest - Future<UpdateStudioSessionMappingResult> updateStudioSessionMappingAsync(UpdateStudioSessionMappingRequest updateStudioSessionMappingRequest, AsyncHandler<UpdateStudioSessionMappingRequest,UpdateStudioSessionMappingResult> asyncHandler)
Updates the session policy attached to the user or group for the specified Amazon EMR Studio.
updateStudioSessionMappingRequest - 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 © 2024. All rights reserved.