@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonElasticMapReduce extends Object implements AmazonElasticMapReduce
AmazonElasticMapReduce. Convenient method forms pass through to the corresponding
overload that takes a request object, which throws an UnsupportedOperationException.ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
AddInstanceFleetResult |
addInstanceFleet(AddInstanceFleetRequest request)
Adds an instance fleet to a running cluster.
|
AddInstanceGroupsResult |
addInstanceGroups(AddInstanceGroupsRequest request)
Adds one or more instance groups to a running cluster.
|
AddJobFlowStepsResult |
addJobFlowSteps(AddJobFlowStepsRequest request)
AddJobFlowSteps adds new steps to a running cluster.
|
AddTagsResult |
addTags(AddTagsRequest request)
Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio.
|
CancelStepsResult |
cancelSteps(CancelStepsRequest request)
Cancels a pending step or steps in a running cluster.
|
CreateSecurityConfigurationResult |
createSecurityConfiguration(CreateSecurityConfigurationRequest request)
Creates a security configuration, which is stored in the service and can be specified when a cluster is created.
|
CreateStudioResult |
createStudio(CreateStudioRequest request)
Creates a new Amazon EMR Studio.
|
CreateStudioSessionMappingResult |
createStudioSessionMapping(CreateStudioSessionMappingRequest request)
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. |
DeleteSecurityConfigurationResult |
deleteSecurityConfiguration(DeleteSecurityConfigurationRequest request)
Deletes a security configuration.
|
DeleteStudioResult |
deleteStudio(DeleteStudioRequest request)
Removes an Amazon EMR Studio from the Studio metadata store.
|
DeleteStudioSessionMappingResult |
deleteStudioSessionMapping(DeleteStudioSessionMappingRequest request)
Removes a user or group from an Amazon EMR Studio.
|
DescribeClusterResult |
describeCluster(DescribeClusterRequest request)
Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
|
DescribeJobFlowsResult |
describeJobFlows()
Deprecated.
|
DescribeJobFlowsResult |
describeJobFlows(DescribeJobFlowsRequest request)
Deprecated.
|
DescribeNotebookExecutionResult |
describeNotebookExecution(DescribeNotebookExecutionRequest request)
Provides details of a notebook execution.
|
DescribeReleaseLabelResult |
describeReleaseLabel(DescribeReleaseLabelRequest request)
Provides EMR release label details, such as releases available the region where the API request is run, and the
available applications for a specific EMR release label.
|
DescribeSecurityConfigurationResult |
describeSecurityConfiguration(DescribeSecurityConfigurationRequest request)
Provides the details of a security configuration by returning the configuration JSON.
|
DescribeStepResult |
describeStep(DescribeStepRequest request)
Provides more detail about the cluster step.
|
DescribeStudioResult |
describeStudio(DescribeStudioRequest request)
Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
|
GetAutoTerminationPolicyResult |
getAutoTerminationPolicy(GetAutoTerminationPolicyRequest request)
Returns the auto-termination policy for an Amazon EMR cluster.
|
GetBlockPublicAccessConfigurationResult |
getBlockPublicAccessConfiguration(GetBlockPublicAccessConfigurationRequest request)
Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current
Region.
|
ResponseMetadata |
getCachedResponseMetadata(AmazonWebServiceRequest request)
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
|
GetManagedScalingPolicyResult |
getManagedScalingPolicy(GetManagedScalingPolicyRequest request)
Fetches the attached managed scaling policy for an Amazon EMR cluster.
|
GetStudioSessionMappingResult |
getStudioSessionMapping(GetStudioSessionMappingRequest request)
Fetches mapping details for the specified Amazon EMR Studio and identity (user or group).
|
ListBootstrapActionsResult |
listBootstrapActions(ListBootstrapActionsRequest request)
Provides information about the bootstrap actions associated with a cluster.
|
ListClustersResult |
listClusters()
Simplified method form for invoking the ListClusters operation.
|
ListClustersResult |
listClusters(ListClustersRequest request)
Provides the status of all clusters visible to this Amazon Web Services account.
|
ListInstanceFleetsResult |
listInstanceFleets(ListInstanceFleetsRequest request)
Lists all available details about the instance fleets in a cluster.
|
ListInstanceGroupsResult |
listInstanceGroups(ListInstanceGroupsRequest request)
Provides all available details about the instance groups in a cluster.
|
ListInstancesResult |
listInstances(ListInstancesRequest request)
Provides information for all active EC2 instances and EC2 instances terminated in the last 30 days, up to a
maximum of 2,000.
|
ListNotebookExecutionsResult |
listNotebookExecutions(ListNotebookExecutionsRequest request)
Provides summaries of all notebook executions.
|
ListReleaseLabelsResult |
listReleaseLabels(ListReleaseLabelsRequest request)
Retrieves release labels of EMR services in the region where the API is called.
|
ListSecurityConfigurationsResult |
listSecurityConfigurations(ListSecurityConfigurationsRequest request)
Lists all the security configurations visible to this account, providing their creation dates and times, and
their names.
|
ListStepsResult |
listSteps(ListStepsRequest request)
Provides a list of steps for the cluster in reverse order unless you specify
stepIds with the
request or filter by StepStates. |
ListStudiosResult |
listStudios(ListStudiosRequest request)
Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account.
|
ListStudioSessionMappingsResult |
listStudioSessionMappings(ListStudioSessionMappingsRequest request)
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by
StudioId
. |
ModifyClusterResult |
modifyCluster(ModifyClusterRequest request)
Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
|
ModifyInstanceFleetResult |
modifyInstanceFleet(ModifyInstanceFleetRequest request)
Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified
InstanceFleetID within the cluster specified using ClusterID.
|
ModifyInstanceGroupsResult |
modifyInstanceGroups()
Simplified method form for invoking the ModifyInstanceGroups operation.
|
ModifyInstanceGroupsResult |
modifyInstanceGroups(ModifyInstanceGroupsRequest request)
ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group.
|
PutAutoScalingPolicyResult |
putAutoScalingPolicy(PutAutoScalingPolicyRequest request)
Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR
cluster.
|
PutAutoTerminationPolicyResult |
putAutoTerminationPolicy(PutAutoTerminationPolicyRequest request)
Creates or updates an auto-termination policy for an Amazon EMR cluster.
|
PutBlockPublicAccessConfigurationResult |
putBlockPublicAccessConfiguration(PutBlockPublicAccessConfigurationRequest request)
Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the
current Region.
|
PutManagedScalingPolicyResult |
putManagedScalingPolicy(PutManagedScalingPolicyRequest request)
Creates or updates a managed scaling policy for an Amazon EMR cluster.
|
RemoveAutoScalingPolicyResult |
removeAutoScalingPolicy(RemoveAutoScalingPolicyRequest request)
Removes an automatic scaling policy from a specified instance group within an EMR cluster.
|
RemoveAutoTerminationPolicyResult |
removeAutoTerminationPolicy(RemoveAutoTerminationPolicyRequest request)
Removes an auto-termination policy from an Amazon EMR cluster.
|
RemoveManagedScalingPolicyResult |
removeManagedScalingPolicy(RemoveManagedScalingPolicyRequest request)
Removes a managed scaling policy from a specified EMR cluster.
|
RemoveTagsResult |
removeTags(RemoveTagsRequest request)
Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio.
|
RunJobFlowResult |
runJobFlow(RunJobFlowRequest request)
RunJobFlow creates and starts running a new cluster (job flow).
|
void |
setEndpoint(String endpoint)
Overrides the default endpoint for this client ("https://elasticmapreduce.amazonaws.com").
|
void |
setRegion(Region region)
An alternative to
AmazonElasticMapReduce.setEndpoint(String), sets the regional endpoint for this
client's service calls. |
SetTerminationProtectionResult |
setTerminationProtection(SetTerminationProtectionRequest request)
SetTerminationProtection locks a cluster (job flow) so the EC2 instances in the cluster cannot be terminated by
user intervention, an API call, or in the event of a job-flow error.
|
SetVisibleToAllUsersResult |
setVisibleToAllUsers(SetVisibleToAllUsersRequest request)
Sets the Cluster$VisibleToAllUsers value for an EMR cluster.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
StartNotebookExecutionResult |
startNotebookExecution(StartNotebookExecutionRequest request)
Starts a notebook execution.
|
StopNotebookExecutionResult |
stopNotebookExecution(StopNotebookExecutionRequest request)
Stops a notebook execution.
|
TerminateJobFlowsResult |
terminateJobFlows(TerminateJobFlowsRequest request)
TerminateJobFlows shuts a list of clusters (job flows) down.
|
UpdateStudioResult |
updateStudio(UpdateStudioRequest request)
Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
|
UpdateStudioSessionMappingResult |
updateStudioSessionMapping(UpdateStudioSessionMappingRequest request)
Updates the session policy attached to the user or group for the specified Amazon EMR Studio.
|
AmazonElasticMapReduceWaiters |
waiters() |
public void setEndpoint(String endpoint)
AmazonElasticMapReduce
Callers can pass in just the endpoint (ex: "elasticmapreduce.amazonaws.com") or a full URL, including the
protocol (ex: "https://elasticmapreduce.amazonaws.com"). If the protocol is not specified here, the default
protocol from this client's ClientConfiguration will be used, which by default is HTTPS.
For more information on using AWS regions with the AWS SDK for Java, and a complete list of all available endpoints for all AWS services, see: https://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/java-dg-region-selection.html#region-selection- choose-endpoint
This method is not threadsafe. An endpoint should be configured when the client is created and before any service requests are made. Changing it afterwards creates inevitable race conditions for any service requests in transit or retrying.
setEndpoint in interface AmazonElasticMapReduceendpoint - The endpoint (ex: "elasticmapreduce.amazonaws.com") or a full URL, including the protocol (ex:
"https://elasticmapreduce.amazonaws.com") of the region specific AWS endpoint this client will communicate
with.public void setRegion(Region region)
AmazonElasticMapReduceAmazonElasticMapReduce.setEndpoint(String), sets the regional endpoint for this
client's service calls. Callers can use this method to control which AWS region they want to work with.
By default, all service endpoints in all regions use the https protocol. To use http instead, specify it in the
ClientConfiguration supplied at construction.
This method is not threadsafe. A region should be configured when the client is created and before any service requests are made. Changing it afterwards creates inevitable race conditions for any service requests in transit or retrying.
setRegion in interface AmazonElasticMapReduceregion - The region this client will communicate with. See Region.getRegion(com.amazonaws.regions.Regions)
for accessing a given region. Must not be null and must be a region where the service is available.Region.getRegion(com.amazonaws.regions.Regions),
Region.createClient(Class, com.amazonaws.auth.AWSCredentialsProvider, ClientConfiguration),
Region.isServiceSupported(String)public AddInstanceFleetResult addInstanceFleet(AddInstanceFleetRequest request)
AmazonElasticMapReduceAdds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x.
addInstanceFleet in interface AmazonElasticMapReducepublic AddInstanceGroupsResult addInstanceGroups(AddInstanceGroupsRequest request)
AmazonElasticMapReduceAdds one or more instance groups to a running cluster.
addInstanceGroups in interface AmazonElasticMapReducerequest - Input to an AddInstanceGroups call.public AddJobFlowStepsResult addJobFlowSteps(AddJobFlowStepsRequest request)
AmazonElasticMapReduceAddJobFlowSteps 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. For more information on how to do this, see Add More than 256 Steps to a Cluster in the Amazon EMR Management Guide.
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.
addJobFlowSteps in interface AmazonElasticMapReducerequest - The input argument to the AddJobFlowSteps operation.public AddTagsResult addTags(AddTagsRequest request)
AmazonElasticMapReduceAdds 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.
addTags in interface AmazonElasticMapReducerequest - This input identifies an Amazon EMR resource and a list of tags to attach.public CancelStepsResult cancelSteps(CancelStepsRequest request)
AmazonElasticMapReduce
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 versions 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.
cancelSteps in interface AmazonElasticMapReducerequest - The input argument to the CancelSteps operation.public CreateSecurityConfigurationResult createSecurityConfiguration(CreateSecurityConfigurationRequest request)
AmazonElasticMapReduceCreates a security configuration, which is stored in the service and can be specified when a cluster is created.
createSecurityConfiguration in interface AmazonElasticMapReducepublic CreateStudioResult createStudio(CreateStudioRequest request)
AmazonElasticMapReduceCreates a new Amazon EMR Studio.
createStudio in interface AmazonElasticMapReducepublic CreateStudioSessionMappingResult createStudioSessionMapping(CreateStudioSessionMappingRequest request)
AmazonElasticMapReduce
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 Amazon Web Services SSO 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.
createStudioSessionMapping in interface AmazonElasticMapReducepublic DeleteSecurityConfigurationResult deleteSecurityConfiguration(DeleteSecurityConfigurationRequest request)
AmazonElasticMapReduceDeletes a security configuration.
deleteSecurityConfiguration in interface AmazonElasticMapReducepublic DeleteStudioResult deleteStudio(DeleteStudioRequest request)
AmazonElasticMapReduceRemoves an Amazon EMR Studio from the Studio metadata store.
deleteStudio in interface AmazonElasticMapReducepublic DeleteStudioSessionMappingResult deleteStudioSessionMapping(DeleteStudioSessionMappingRequest request)
AmazonElasticMapReduceRemoves a user or group from an Amazon EMR Studio.
deleteStudioSessionMapping in interface AmazonElasticMapReducepublic DescribeClusterResult describeCluster(DescribeClusterRequest request)
AmazonElasticMapReduceProvides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
describeCluster in interface AmazonElasticMapReducerequest - This input determines which cluster to describe.@Deprecated public DescribeJobFlowsResult describeJobFlows(DescribeJobFlowsRequest request)
AmazonElasticMapReduceThis 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.
describeJobFlows in interface AmazonElasticMapReducerequest - The input for the DescribeJobFlows operation.@Deprecated public DescribeJobFlowsResult describeJobFlows()
AmazonElasticMapReducedescribeJobFlows in interface AmazonElasticMapReduceAmazonElasticMapReduce.describeJobFlows(DescribeJobFlowsRequest)public DescribeNotebookExecutionResult describeNotebookExecution(DescribeNotebookExecutionRequest request)
AmazonElasticMapReduceProvides details of a notebook execution.
describeNotebookExecution in interface AmazonElasticMapReducepublic DescribeReleaseLabelResult describeReleaseLabel(DescribeReleaseLabelRequest request)
AmazonElasticMapReduceProvides EMR release label details, such as releases available the region where the API request is run, and the available applications for a specific EMR release label. Can also list EMR release versions that support a specified version of Spark.
describeReleaseLabel in interface AmazonElasticMapReducepublic DescribeSecurityConfigurationResult describeSecurityConfiguration(DescribeSecurityConfigurationRequest request)
AmazonElasticMapReduceProvides the details of a security configuration by returning the configuration JSON.
describeSecurityConfiguration in interface AmazonElasticMapReducepublic DescribeStepResult describeStep(DescribeStepRequest request)
AmazonElasticMapReduceProvides more detail about the cluster step.
describeStep in interface AmazonElasticMapReducerequest - This input determines which step to describe.public DescribeStudioResult describeStudio(DescribeStudioRequest request)
AmazonElasticMapReduceReturns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
describeStudio in interface AmazonElasticMapReducepublic GetAutoTerminationPolicyResult getAutoTerminationPolicy(GetAutoTerminationPolicyRequest request)
AmazonElasticMapReduceReturns the auto-termination policy for an Amazon EMR cluster.
getAutoTerminationPolicy in interface AmazonElasticMapReducepublic GetBlockPublicAccessConfigurationResult getBlockPublicAccessConfiguration(GetBlockPublicAccessConfigurationRequest request)
AmazonElasticMapReduceReturns 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.
getBlockPublicAccessConfiguration in interface AmazonElasticMapReducepublic GetManagedScalingPolicyResult getManagedScalingPolicy(GetManagedScalingPolicyRequest request)
AmazonElasticMapReduceFetches the attached managed scaling policy for an Amazon EMR cluster.
getManagedScalingPolicy in interface AmazonElasticMapReducepublic GetStudioSessionMappingResult getStudioSessionMapping(GetStudioSessionMappingRequest request)
AmazonElasticMapReduceFetches mapping details for the specified Amazon EMR Studio and identity (user or group).
getStudioSessionMapping in interface AmazonElasticMapReducepublic ListBootstrapActionsResult listBootstrapActions(ListBootstrapActionsRequest request)
AmazonElasticMapReduceProvides information about the bootstrap actions associated with a cluster.
listBootstrapActions in interface AmazonElasticMapReducerequest - This input determines which bootstrap actions to retrieve.public ListClustersResult listClusters(ListClustersRequest request)
AmazonElasticMapReduceProvides 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.
listClusters in interface AmazonElasticMapReducerequest - This input determines how the ListClusters action filters the list of clusters that it returns.public ListClustersResult listClusters()
AmazonElasticMapReducelistClusters in interface AmazonElasticMapReduceAmazonElasticMapReduce.listClusters(ListClustersRequest)public ListInstanceFleetsResult listInstanceFleets(ListInstanceFleetsRequest request)
AmazonElasticMapReduceLists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions.
listInstanceFleets in interface AmazonElasticMapReducepublic ListInstanceGroupsResult listInstanceGroups(ListInstanceGroupsRequest request)
AmazonElasticMapReduceProvides all available details about the instance groups in a cluster.
listInstanceGroups in interface AmazonElasticMapReducerequest - This input determines which instance groups to retrieve.public ListInstancesResult listInstances(ListInstancesRequest request)
AmazonElasticMapReduceProvides information for all active EC2 instances and EC2 instances terminated in the last 30 days, up to a maximum of 2,000. EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT, PROVISIONING, BOOTSTRAPPING, RUNNING.
listInstances in interface AmazonElasticMapReducerequest - This input determines which instances to list.public ListNotebookExecutionsResult listNotebookExecutions(ListNotebookExecutionsRequest request)
AmazonElasticMapReduce
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 ListNotebookExecution calls.
listNotebookExecutions in interface AmazonElasticMapReducepublic ListReleaseLabelsResult listReleaseLabels(ListReleaseLabelsRequest request)
AmazonElasticMapReduceRetrieves release labels of EMR services in the region where the API is called.
listReleaseLabels in interface AmazonElasticMapReducepublic ListSecurityConfigurationsResult listSecurityConfigurations(ListSecurityConfigurationsRequest request)
AmazonElasticMapReduceLists 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.
listSecurityConfigurations in interface AmazonElasticMapReducepublic ListStepsResult listSteps(ListStepsRequest request)
AmazonElasticMapReduce
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.
listSteps in interface AmazonElasticMapReducerequest - This input determines which steps to list.public ListStudioSessionMappingsResult listStudioSessionMappings(ListStudioSessionMappingsRequest request)
AmazonElasticMapReduce
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
.
listStudioSessionMappings in interface AmazonElasticMapReducepublic ListStudiosResult listStudios(ListStudiosRequest request)
AmazonElasticMapReduceReturns 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.
listStudios in interface AmazonElasticMapReducepublic ModifyClusterResult modifyCluster(ModifyClusterRequest request)
AmazonElasticMapReduceModifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
modifyCluster in interface AmazonElasticMapReducepublic ModifyInstanceFleetResult modifyInstanceFleet(ModifyInstanceFleetRequest request)
AmazonElasticMapReduceModifies 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 versions 4.8.0 and later, excluding 5.0.x versions.
modifyInstanceFleet in interface AmazonElasticMapReducepublic ModifyInstanceGroupsResult modifyInstanceGroups(ModifyInstanceGroupsRequest request)
AmazonElasticMapReduceModifyInstanceGroups 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.
modifyInstanceGroups in interface AmazonElasticMapReducerequest - Change the size of some instance groups.public ModifyInstanceGroupsResult modifyInstanceGroups()
AmazonElasticMapReducemodifyInstanceGroups in interface AmazonElasticMapReduceAmazonElasticMapReduce.modifyInstanceGroups(ModifyInstanceGroupsRequest)public PutAutoScalingPolicyResult putAutoScalingPolicy(PutAutoScalingPolicyRequest request)
AmazonElasticMapReduceCreates 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 EC2 instances in response to the value of a CloudWatch metric.
putAutoScalingPolicy in interface AmazonElasticMapReducepublic PutAutoTerminationPolicyResult putAutoTerminationPolicy(PutAutoTerminationPolicyRequest request)
AmazonElasticMapReduceCreates 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.
putAutoTerminationPolicy in interface AmazonElasticMapReducepublic PutBlockPublicAccessConfigurationResult putBlockPublicAccessConfiguration(PutBlockPublicAccessConfigurationRequest request)
AmazonElasticMapReduceCreates 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.
putBlockPublicAccessConfiguration in interface AmazonElasticMapReducepublic PutManagedScalingPolicyResult putManagedScalingPolicy(PutManagedScalingPolicyRequest request)
AmazonElasticMapReduceCreates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the limits for resources, such as 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.
putManagedScalingPolicy in interface AmazonElasticMapReducepublic RemoveAutoScalingPolicyResult removeAutoScalingPolicy(RemoveAutoScalingPolicyRequest request)
AmazonElasticMapReduceRemoves an automatic scaling policy from a specified instance group within an EMR cluster.
removeAutoScalingPolicy in interface AmazonElasticMapReducepublic RemoveAutoTerminationPolicyResult removeAutoTerminationPolicy(RemoveAutoTerminationPolicyRequest request)
AmazonElasticMapReduceRemoves an auto-termination policy from an Amazon EMR cluster.
removeAutoTerminationPolicy in interface AmazonElasticMapReducepublic RemoveManagedScalingPolicyResult removeManagedScalingPolicy(RemoveManagedScalingPolicyRequest request)
AmazonElasticMapReduceRemoves a managed scaling policy from a specified EMR cluster.
removeManagedScalingPolicy in interface AmazonElasticMapReducepublic RemoveTagsResult removeTags(RemoveTagsRequest request)
AmazonElasticMapReduceRemoves 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:
removeTags in interface AmazonElasticMapReducerequest - This input identifies an Amazon EMR resource and a list of tags to remove.public RunJobFlowResult runJobFlow(RunJobFlowRequest request)
AmazonElasticMapReduce
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 more information on how to do this, see Add More than 256 Steps to a Cluster in the Amazon EMR Management Guide.
For long running clusters, we recommend that you periodically store your results.
The instance fleets configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not both.
runJobFlow in interface AmazonElasticMapReducerequest - Input to the RunJobFlow operation.public SetTerminationProtectionResult setTerminationProtection(SetTerminationProtectionRequest request)
AmazonElasticMapReduce
SetTerminationProtection locks a cluster (job flow) so the 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 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, seeManaging Cluster Termination in the Amazon EMR Management Guide.
setTerminationProtection in interface AmazonElasticMapReducerequest - The input argument to the TerminationProtection operation.public SetVisibleToAllUsersResult setVisibleToAllUsers(SetVisibleToAllUsersRequest request)
AmazonElasticMapReduce
Sets the Cluster$VisibleToAllUsers value for an EMR cluster. When true, IAM principals in the
Amazon Web Services account can perform 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 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 EMR Cluster VisibleToAllUsers Setting in the Amazon EMRManagement Guide.
setVisibleToAllUsers in interface AmazonElasticMapReducerequest - The input to the SetVisibleToAllUsers action.public StartNotebookExecutionResult startNotebookExecution(StartNotebookExecutionRequest request)
AmazonElasticMapReduceStarts a notebook execution.
startNotebookExecution in interface AmazonElasticMapReducepublic StopNotebookExecutionResult stopNotebookExecution(StopNotebookExecutionRequest request)
AmazonElasticMapReduceStops a notebook execution.
stopNotebookExecution in interface AmazonElasticMapReducepublic TerminateJobFlowsResult terminateJobFlows(TerminateJobFlowsRequest request)
AmazonElasticMapReduceTerminateJobFlows shuts a list of clusters (job flows) down. When a job flow is shut down, any step not yet completed is canceled and the 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.
terminateJobFlows in interface AmazonElasticMapReducerequest - Input to the TerminateJobFlows operation.public UpdateStudioResult updateStudio(UpdateStudioRequest request)
AmazonElasticMapReduceUpdates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
updateStudio in interface AmazonElasticMapReducepublic UpdateStudioSessionMappingResult updateStudioSessionMapping(UpdateStudioSessionMappingRequest request)
AmazonElasticMapReduceUpdates the session policy attached to the user or group for the specified Amazon EMR Studio.
updateStudioSessionMapping in interface AmazonElasticMapReducepublic void shutdown()
AmazonElasticMapReduceshutdown in interface AmazonElasticMapReducepublic ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
AmazonElasticMapReduceResponse metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
getCachedResponseMetadata in interface AmazonElasticMapReducerequest - The originally executed request.public AmazonElasticMapReduceWaiters waiters()
waiters in interface AmazonElasticMapReduce