Struct aws_sdk_emr::Client

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pub struct Client { /* private fields */ }

Expand description

Client for Amazon EMR

Client for invoking operations on Amazon EMR. Each operation on Amazon EMR is a method on this this struct. .send() MUST be invoked on the generated operations to dispatch the request to the service.

Examples

Constructing a client and invoking an operation

    // create a shared configuration. This can be used & shared between multiple service clients.
    let shared_config = aws_config::load_from_env().await;
    let client = aws_sdk_emr::Client::new(&shared_config);
    // invoke an operation
    /* let rsp = client
        .<operation_name>().
        .<param>("some value")
        .send().await; */

Constructing a client with custom configuration

use aws_config::RetryConfig;
let shared_config = aws_config::load_from_env().await;
let config = aws_sdk_emr::config::Builder::from(&shared_config)
  .retry_config(RetryConfig::disabled())
  .build();
let client = aws_sdk_emr::Client::from_conf(config);

Implementations

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impl Client

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pub fn with_config(
client: Client<DynConnector, DynMiddleware<DynConnector>>,
conf: Config
) -> Self

Creates a client with the given service configuration.

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pub fn conf(&self) -> &Config

Returns the client’s configuration.

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impl Client

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pub fn add_instance_fleet(&self) -> AddInstanceFleet

Constructs a fluent builder for the AddInstanceFleet operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The unique identifier of the cluster.
- instance_fleet(InstanceFleetConfig) / set_instance_fleet(Option<InstanceFleetConfig>):
 Specifies the configuration of the instance fleet.
On success, responds with AddInstanceFleetOutput with field(s):
- cluster_id(Option<String>):
 The unique identifier of the cluster.
- instance_fleet_id(Option<String>):
 The unique identifier of the instance fleet.
- cluster_arn(Option<String>):
 The Amazon Resource Name of the cluster.
On failure, responds with SdkError<AddInstanceFleetError>

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pub fn add_instance_groups(&self) -> AddInstanceGroups

Constructs a fluent builder for the AddInstanceGroups operation.

The fluent builder is configurable:
- instance_groups(Vec<InstanceGroupConfig>) / set_instance_groups(Option<Vec<InstanceGroupConfig>>):
 Instance groups to add.
- job_flow_id(impl Into<String>) / set_job_flow_id(Option<String>):
 Job flow in which to add the instance groups.
On success, responds with AddInstanceGroupsOutput with field(s):
- job_flow_id(Option<String>):
 The job flow ID in which the instance groups are added.
- instance_group_ids(Option<Vec<String>>):
 Instance group IDs of the newly created instance groups.
- cluster_arn(Option<String>):
 The Amazon Resource Name of the cluster.
On failure, responds with SdkError<AddInstanceGroupsError>

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pub fn add_job_flow_steps(&self) -> AddJobFlowSteps

Constructs a fluent builder for the AddJobFlowSteps operation.

The fluent builder is configurable:
- job_flow_id(impl Into<String>) / set_job_flow_id(Option<String>):
 A string that uniquely identifies the job flow. This identifier is returned by RunJobFlow and can also be obtained from ListClusters.
- steps(Vec<StepConfig>) / set_steps(Option<Vec<StepConfig>>):
 A list of StepConfig to be executed by the job flow.
- execution_role_arn(impl Into<String>) / set_execution_role_arn(Option<String>):
 The Amazon Resource Name (ARN) of the runtime role for a step on the cluster. The runtime role can be a cross-account IAM role. The runtime role ARN is a combination of account ID, role name, and role type using the following format: arn:partition:service:region:account:resource.
 
 For example, arn:aws:iam::1234567890:role/ReadOnly is a correctly formatted runtime role ARN.
On success, responds with AddJobFlowStepsOutput with field(s):
- step_ids(Option<Vec<String>>):
 The identifiers of the list of steps added to the job flow.
On failure, responds with SdkError<AddJobFlowStepsError>

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pub fn add_tags(&self) -> AddTags

Constructs a fluent builder for the AddTags operation.

The fluent builder is configurable:
- resource_id(impl Into<String>) / set_resource_id(Option<String>):
 The Amazon EMR resource identifier to which tags will be added. For example, a cluster identifier or an Amazon EMR Studio ID.
- tags(Vec<Tag>) / set_tags(Option<Vec<Tag>>):
 A list of tags to associate with a resource. Tags are user-defined key-value pairs that consist of a required key string with a maximum of 128 characters, and an optional value string with a maximum of 256 characters.
On success, responds with AddTagsOutput
On failure, responds with SdkError<AddTagsError>

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pub fn cancel_steps(&self) -> CancelSteps

Constructs a fluent builder for the CancelSteps operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The ClusterID for the specified steps that will be canceled. Use RunJobFlow and ListClusters to get ClusterIDs.
- step_ids(Vec<String>) / set_step_ids(Option<Vec<String>>):
 The list of StepIDs to cancel. Use ListSteps to get steps and their states for the specified cluster.
- step_cancellation_option(StepCancellationOption) / set_step_cancellation_option(Option<StepCancellationOption>):
 The option to choose to cancel RUNNING steps. By default, the value is SEND_INTERRUPT.
On success, responds with CancelStepsOutput with field(s):
- cancel_steps_info_list(Option<Vec<CancelStepsInfo>>):
 A list of CancelStepsInfo, which shows the status of specified cancel requests for each StepID specified.
On failure, responds with SdkError<CancelStepsError>

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pub fn create_security_configuration(&self) -> CreateSecurityConfiguration

Constructs a fluent builder for the CreateSecurityConfiguration operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
 The name of the security configuration.
- security_configuration(impl Into<String>) / set_security_configuration(Option<String>):
 The security configuration details in JSON format. For JSON parameters and examples, see Use Security Configurations to Set Up Cluster Security in the Amazon EMR Management Guide.
On success, responds with CreateSecurityConfigurationOutput with field(s):
- name(Option<String>):
 The name of the security configuration.
- creation_date_time(Option<DateTime>):
 The date and time the security configuration was created.
On failure, responds with SdkError<CreateSecurityConfigurationError>

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pub fn create_studio(&self) -> CreateStudio

Constructs a fluent builder for the CreateStudio operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
 A descriptive name for the Amazon EMR Studio.
- description(impl Into<String>) / set_description(Option<String>):
 A detailed description of the Amazon EMR Studio.
- auth_mode(AuthMode) / set_auth_mode(Option<AuthMode>):
 Specifies whether the Studio authenticates users using IAM or Amazon Web Services SSO.
- vpc_id(impl Into<String>) / set_vpc_id(Option<String>):
 The ID of the Amazon Virtual Private Cloud (Amazon VPC) to associate with the Studio.
- subnet_ids(Vec<String>) / set_subnet_ids(Option<Vec<String>>):
 A list of subnet IDs to associate with the Amazon EMR Studio. A Studio can have a maximum of 5 subnets. The subnets must belong to the VPC specified by VpcId. Studio users can create a Workspace in any of the specified subnets.
- service_role(impl Into<String>) / set_service_role(Option<String>):
 The IAM role that the Amazon EMR Studio assumes. The service role provides a way for Amazon EMR Studio to interoperate with other Amazon Web Services services.
- user_role(impl Into<String>) / set_user_role(Option<String>):
 The IAM user role that users and groups assume when logged in to an Amazon EMR Studio. Only specify a UserRole when you use Amazon Web Services SSO authentication. The permissions attached to the UserRole can be scoped down for each user or group using session policies.
- workspace_security_group_id(impl Into<String>) / set_workspace_security_group_id(Option<String>):
 The ID of the Amazon EMR Studio Workspace security group. The Workspace security group allows outbound network traffic to resources in the Engine security group, and it must be in the same VPC specified by VpcId.
- engine_security_group_id(impl Into<String>) / set_engine_security_group_id(Option<String>):
 The ID of the Amazon EMR Studio Engine security group. The Engine security group allows inbound network traffic from the Workspace security group, and it must be in the same VPC specified by VpcId.
- default_s3_location(impl Into<String>) / set_default_s3_location(Option<String>):
 The Amazon S3 location to back up Amazon EMR Studio Workspaces and notebook files.
- idp_auth_url(impl Into<String>) / set_idp_auth_url(Option<String>):
 The authentication endpoint of your identity provider (IdP). Specify this value when you use IAM authentication and want to let federated users log in to a Studio with the Studio URL and credentials from your IdP. Amazon EMR Studio redirects users to this endpoint to enter credentials.
- idp_relay_state_parameter_name(impl Into<String>) / set_idp_relay_state_parameter_name(Option<String>):
 The name that your identity provider (IdP) uses for its RelayState parameter. For example, RelayState or TargetSource. Specify this value when you use IAM authentication and want to let federated users log in to a Studio using the Studio URL. The RelayState parameter differs by IdP.
- tags(Vec<Tag>) / set_tags(Option<Vec<Tag>>):
 A list of tags to associate with the Amazon EMR Studio. Tags are user-defined key-value pairs that consist of a required key string with a maximum of 128 characters, and an optional value string with a maximum of 256 characters.
On success, responds with CreateStudioOutput with field(s):
- studio_id(Option<String>):
 The ID of the Amazon EMR Studio.
- url(Option<String>):
 The unique Studio access URL.
On failure, responds with SdkError<CreateStudioError>

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pub fn create_studio_session_mapping(&self) -> CreateStudioSessionMapping

Constructs a fluent builder for the CreateStudioSessionMapping operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio to which the user or group will be mapped.
- identity_id(impl Into<String>) / set_identity_id(Option<String>):
 The globally unique identifier (GUID) of the user or group from the Amazon Web Services SSO Identity Store. For more information, see UserId and GroupId in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified, but not both.
- identity_name(impl Into<String>) / set_identity_name(Option<String>):
 The name of the user or group. For more information, see UserName and DisplayName in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified, but not both.
- identity_type(IdentityType) / set_identity_type(Option<IdentityType>):
 Specifies whether the identity to map to the Amazon EMR Studio is a user or a group.
- session_policy_arn(impl Into<String>) / set_session_policy_arn(Option<String>):
 The Amazon Resource Name (ARN) for the session policy that will be applied to the user or group. You should specify the ARN for the session policy that you want to apply, not the ARN of your user role. For more information, see Create an EMR Studio User Role with Session Policies.
On success, responds with CreateStudioSessionMappingOutput
On failure, responds with SdkError<CreateStudioSessionMappingError>

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pub fn delete_security_configuration(&self) -> DeleteSecurityConfiguration

Constructs a fluent builder for the DeleteSecurityConfiguration operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
 The name of the security configuration.
On success, responds with DeleteSecurityConfigurationOutput
On failure, responds with SdkError<DeleteSecurityConfigurationError>

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pub fn delete_studio(&self) -> DeleteStudio

Constructs a fluent builder for the DeleteStudio operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio.
On success, responds with DeleteStudioOutput
On failure, responds with SdkError<DeleteStudioError>

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pub fn delete_studio_session_mapping(&self) -> DeleteStudioSessionMapping

Constructs a fluent builder for the DeleteStudioSessionMapping operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio.
- identity_id(impl Into<String>) / set_identity_id(Option<String>):
 The globally unique identifier (GUID) of the user or group to remove from the Amazon EMR Studio. For more information, see UserId and GroupId in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified.
- identity_name(impl Into<String>) / set_identity_name(Option<String>):
 The name of the user name or group to remove from the Amazon EMR Studio. For more information, see UserName and DisplayName in the Amazon Web Services SSO Store API Reference. Either IdentityName or IdentityId must be specified.
- identity_type(IdentityType) / set_identity_type(Option<IdentityType>):
 Specifies whether the identity to delete from the Amazon EMR Studio is a user or a group.
On success, responds with DeleteStudioSessionMappingOutput
On failure, responds with SdkError<DeleteStudioSessionMappingError>

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pub fn describe_cluster(&self) -> DescribeCluster

Constructs a fluent builder for the DescribeCluster operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The identifier of the cluster to describe.
On success, responds with DescribeClusterOutput with field(s):
- cluster(Option<Cluster>):
 This output contains the details for the requested cluster.
On failure, responds with SdkError<DescribeClusterError>

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pub fn describe_job_flows(&self) -> DescribeJobFlows

Constructs a fluent builder for the DescribeJobFlows operation.

The fluent builder is configurable:
- created_after(DateTime) / set_created_after(Option<DateTime>):
 Return only job flows created after this date and time.
- created_before(DateTime) / set_created_before(Option<DateTime>):
 Return only job flows created before this date and time.
- job_flow_ids(Vec<String>) / set_job_flow_ids(Option<Vec<String>>):
 Return only job flows whose job flow ID is contained in this list.
- job_flow_states(Vec<JobFlowExecutionState>) / set_job_flow_states(Option<Vec<JobFlowExecutionState>>):
 Return only job flows whose state is contained in this list.
On success, responds with DescribeJobFlowsOutput with field(s):
- job_flows(Option<Vec<JobFlowDetail>>):
 A list of job flows matching the parameters supplied.
On failure, responds with SdkError<DescribeJobFlowsError>

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pub fn describe_notebook_execution(&self) -> DescribeNotebookExecution

Constructs a fluent builder for the DescribeNotebookExecution operation.

The fluent builder is configurable:
- notebook_execution_id(impl Into<String>) / set_notebook_execution_id(Option<String>):
 The unique identifier of the notebook execution.
On success, responds with DescribeNotebookExecutionOutput with field(s):
- notebook_execution(Option<NotebookExecution>):
 Properties of the notebook execution.
On failure, responds with SdkError<DescribeNotebookExecutionError>

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pub fn describe_release_label(&self) -> DescribeReleaseLabel

Constructs a fluent builder for the DescribeReleaseLabel operation.

The fluent builder is configurable:
- release_label(impl Into<String>) / set_release_label(Option<String>):
 The target release label to be described.
- next_token(impl Into<String>) / set_next_token(Option<String>):
 The pagination token. Reserved for future use. Currently set to null.
- max_results(i32) / set_max_results(Option<i32>):
 Reserved for future use. Currently set to null.
On success, responds with DescribeReleaseLabelOutput with field(s):
- release_label(Option<String>):
 The target release label described in the response.
- applications(Option<Vec<SimplifiedApplication>>):
 The list of applications available for the target release label. Name is the name of the application. Version is the concise version of the application.
- next_token(Option<String>):
 The pagination token. Reserved for future use. Currently set to null.
- available_os_releases(Option<Vec<OsRelease>>):
 The list of available Amazon Linux release versions for an Amazon EMR release. Contains a Label field that is formatted as shown in Amazon Linux 2 Release Notes . For example, 2.0.20220218.1.
On failure, responds with SdkError<DescribeReleaseLabelError>

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pub fn describe_security_configuration(&self) -> DescribeSecurityConfiguration

Constructs a fluent builder for the DescribeSecurityConfiguration operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
 The name of the security configuration.
On success, responds with DescribeSecurityConfigurationOutput with field(s):
- name(Option<String>):
 The name of the security configuration.
- security_configuration(Option<String>):
 The security configuration details in JSON format.
- creation_date_time(Option<DateTime>):
 The date and time the security configuration was created
On failure, responds with SdkError<DescribeSecurityConfigurationError>

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pub fn describe_step(&self) -> DescribeStep

Constructs a fluent builder for the DescribeStep operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The identifier of the cluster with steps to describe.
- step_id(impl Into<String>) / set_step_id(Option<String>):
 The identifier of the step to describe.
On success, responds with DescribeStepOutput with field(s):
- step(Option<Step>):
 The step details for the requested step identifier.
On failure, responds with SdkError<DescribeStepError>

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pub fn describe_studio(&self) -> DescribeStudio

Constructs a fluent builder for the DescribeStudio operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The Amazon EMR Studio ID.
On success, responds with DescribeStudioOutput with field(s):
- studio(Option<Studio>):
 The Amazon EMR Studio details.
On failure, responds with SdkError<DescribeStudioError>

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pub fn get_auto_termination_policy(&self) -> GetAutoTerminationPolicy

Constructs a fluent builder for the GetAutoTerminationPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of the Amazon EMR cluster for which the auto-termination policy will be fetched.
On success, responds with GetAutoTerminationPolicyOutput with field(s):
- auto_termination_policy(Option<AutoTerminationPolicy>):
 Specifies the auto-termination policy that is attached to an Amazon EMR cluster.
On failure, responds with SdkError<GetAutoTerminationPolicyError>

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pub fn get_block_public_access_configuration(
&self
) -> GetBlockPublicAccessConfiguration

Constructs a fluent builder for the GetBlockPublicAccessConfiguration operation.

The fluent builder takes no input, just send it.
On success, responds with GetBlockPublicAccessConfigurationOutput with field(s):
- block_public_access_configuration(Option<BlockPublicAccessConfiguration>):
 A configuration for Amazon EMR block public access. The configuration applies to all clusters created in your account for the current Region. The configuration specifies whether block public access is enabled. If block public access is enabled, security groups associated with the cluster cannot have rules that allow inbound traffic from 0.0.0.0/0 or ::/0 on a port, unless the port is specified as an exception using PermittedPublicSecurityGroupRuleRanges in the BlockPublicAccessConfiguration. By default, Port 22 (SSH) is an exception, and public access is allowed on this port. You can change this by updating the block public access configuration to remove the exception.
 
 For accounts that created clusters in a Region before November 25, 2019, block public access is disabled by default in that Region. To use this feature, you must manually enable and configure it. For accounts that did not create an EMR cluster in a Region before this date, block public access is enabled by default in that Region.
- block_public_access_configuration_metadata(Option<BlockPublicAccessConfigurationMetadata>):
 Properties that describe the Amazon Web Services principal that created the BlockPublicAccessConfiguration using the PutBlockPublicAccessConfiguration action as well as the date and time that the configuration was created. Each time a configuration for block public access is updated, Amazon EMR updates this metadata.
On failure, responds with SdkError<GetBlockPublicAccessConfigurationError>

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pub fn get_managed_scaling_policy(&self) -> GetManagedScalingPolicy

Constructs a fluent builder for the GetManagedScalingPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of the cluster for which the managed scaling policy will be fetched.
On success, responds with GetManagedScalingPolicyOutput with field(s):
- managed_scaling_policy(Option<ManagedScalingPolicy>):
 Specifies the managed scaling policy that is attached to an Amazon EMR cluster.
On failure, responds with SdkError<GetManagedScalingPolicyError>

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pub fn get_studio_session_mapping(&self) -> GetStudioSessionMapping

Constructs a fluent builder for the GetStudioSessionMapping operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio.
- identity_id(impl Into<String>) / set_identity_id(Option<String>):
 The globally unique identifier (GUID) of the user or group. For more information, see UserId and GroupId in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified.
- identity_name(impl Into<String>) / set_identity_name(Option<String>):
 The name of the user or group to fetch. For more information, see UserName and DisplayName in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified.
- identity_type(IdentityType) / set_identity_type(Option<IdentityType>):
 Specifies whether the identity to fetch is a user or a group.
On success, responds with GetStudioSessionMappingOutput with field(s):
- session_mapping(Option<SessionMappingDetail>):
 The session mapping details for the specified Amazon EMR Studio and identity, including session policy ARN and creation time.
On failure, responds with SdkError<GetStudioSessionMappingError>

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pub fn list_bootstrap_actions(&self) -> ListBootstrapActions

Constructs a fluent builder for the ListBootstrapActions operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The cluster identifier for the bootstrap actions to list.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On success, responds with ListBootstrapActionsOutput with field(s):
- bootstrap_actions(Option<Vec<Command>>):
 The bootstrap actions associated with the cluster.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListBootstrapActionsError>

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pub fn list_clusters(&self) -> ListClusters

Constructs a fluent builder for the ListClusters operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- created_after(DateTime) / set_created_after(Option<DateTime>):
 The creation date and time beginning value filter for listing clusters.
- created_before(DateTime) / set_created_before(Option<DateTime>):
 The creation date and time end value filter for listing clusters.
- cluster_states(Vec<ClusterState>) / set_cluster_states(Option<Vec<ClusterState>>):
 The cluster state filters to apply when listing clusters. Clusters that change state while this action runs may be not be returned as expected in the list of clusters.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On success, responds with ListClustersOutput with field(s):
- clusters(Option<Vec<ClusterSummary>>):
 The list of clusters for the account based on the given filters.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListClustersError>

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pub fn list_instance_fleets(&self) -> ListInstanceFleets

Constructs a fluent builder for the ListInstanceFleets operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The unique identifier of the cluster.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On success, responds with ListInstanceFleetsOutput with field(s):
- instance_fleets(Option<Vec<InstanceFleet>>):
 The list of instance fleets for the cluster and given filters.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListInstanceFleetsError>

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pub fn list_instance_groups(&self) -> ListInstanceGroups

Constructs a fluent builder for the ListInstanceGroups operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The identifier of the cluster for which to list the instance groups.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On success, responds with ListInstanceGroupsOutput with field(s):
- instance_groups(Option<Vec<InstanceGroup>>):
 The list of instance groups for the cluster and given filters.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListInstanceGroupsError>

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pub fn list_instances(&self) -> ListInstances

Constructs a fluent builder for the ListInstances operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The identifier of the cluster for which to list the instances.
- instance_group_id(impl Into<String>) / set_instance_group_id(Option<String>):
 The identifier of the instance group for which to list the instances.
- instance_group_types(Vec<InstanceGroupType>) / set_instance_group_types(Option<Vec<InstanceGroupType>>):
 The type of instance group for which to list the instances.
- instance_fleet_id(impl Into<String>) / set_instance_fleet_id(Option<String>):
 The unique identifier of the instance fleet.
- instance_fleet_type(InstanceFleetType) / set_instance_fleet_type(Option<InstanceFleetType>):
 The node type of the instance fleet. For example MASTER, CORE, or TASK.
- instance_states(Vec<InstanceState>) / set_instance_states(Option<Vec<InstanceState>>):
 A list of instance states that will filter the instances returned with this request.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On success, responds with ListInstancesOutput with field(s):
- instances(Option<Vec<Instance>>):
 The list of instances for the cluster and given filters.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListInstancesError>

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pub fn list_notebook_executions(&self) -> ListNotebookExecutions

Constructs a fluent builder for the ListNotebookExecutions operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- editor_id(impl Into<String>) / set_editor_id(Option<String>):
 The unique ID of the editor associated with the notebook execution.
- status(NotebookExecutionStatus) / set_status(Option<NotebookExecutionStatus>):
 The status filter for listing notebook executions.
 - START_PENDING indicates that the cluster has received the execution request but execution has not begun.
 - STARTING indicates that the execution is starting on the cluster.
 - RUNNING indicates that the execution is being processed by the cluster.
 - FINISHING indicates that execution processing is in the final stages.
 - FINISHED indicates that the execution has completed without error.
 - FAILING indicates that the execution is failing and will not finish successfully.
 - FAILED indicates that the execution failed.
 - STOP_PENDING indicates that the cluster has received a StopNotebookExecution request and the stop is pending.
 - STOPPING indicates that the cluster is in the process of stopping the execution as a result of a StopNotebookExecution request.
 - STOPPED indicates that the execution stopped because of a StopNotebookExecution request.
- from(DateTime) / set_from(Option<DateTime>):
 The beginning of time range filter for listing notebook executions. The default is the timestamp of 30 days ago.
- to(DateTime) / set_to(Option<DateTime>):
 The end of time range filter for listing notebook executions. The default is the current timestamp.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token, returned by a previous ListNotebookExecutions call, that indicates the start of the list for this ListNotebookExecutions call.
On success, responds with ListNotebookExecutionsOutput with field(s):
- notebook_executions(Option<Vec<NotebookExecutionSummary>>):
 A list of notebook executions.
- marker(Option<String>):
 A pagination token that a subsequent ListNotebookExecutions can use to determine the next set of results to retrieve.
On failure, responds with SdkError<ListNotebookExecutionsError>

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pub fn list_release_labels(&self) -> ListReleaseLabels

Constructs a fluent builder for the ListReleaseLabels operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- filters(ReleaseLabelFilter) / set_filters(Option<ReleaseLabelFilter>):
 Filters the results of the request. Prefix specifies the prefix of release labels to return. Application specifies the application (with/without version) of release labels to return.
- next_token(impl Into<String>) / set_next_token(Option<String>):
 Specifies the next page of results. If NextToken is not specified, which is usually the case for the first request of ListReleaseLabels, the first page of results are determined by other filtering parameters or by the latest version. The ListReleaseLabels request fails if the identity (Amazon Web Services account ID) and all filtering parameters are different from the original request, or if the NextToken is expired or tampered with.
- max_results(i32) / set_max_results(Option<i32>):
 Defines the maximum number of release labels to return in a single response. The default is 100.
On success, responds with ListReleaseLabelsOutput with field(s):
- release_labels(Option<Vec<String>>):
 The returned release labels.
- next_token(Option<String>):
 Used to paginate the next page of results if specified in the next ListReleaseLabels request.
On failure, responds with SdkError<ListReleaseLabelsError>

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pub fn list_security_configurations(&self) -> ListSecurityConfigurations

Constructs a fluent builder for the ListSecurityConfigurations operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the set of results to retrieve.
On success, responds with ListSecurityConfigurationsOutput with field(s):
- security_configurations(Option<Vec<SecurityConfigurationSummary>>):
 The creation date and time, and name, of each security configuration.
- marker(Option<String>):
 A pagination token that indicates the next set of results to retrieve. Include the marker in the next ListSecurityConfiguration call to retrieve the next page of results, if required.
On failure, responds with SdkError<ListSecurityConfigurationsError>

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pub fn list_steps(&self) -> ListSteps

Constructs a fluent builder for the ListSteps operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The identifier of the cluster for which to list the steps.
- step_states(Vec<StepState>) / set_step_states(Option<Vec<StepState>>):
 The filter to limit the step list based on certain states.
- step_ids(Vec<String>) / set_step_ids(Option<Vec<String>>):
 The filter to limit the step list based on the identifier of the steps. You can specify a maximum of ten Step IDs. The character constraint applies to the overall length of the array.
- marker(impl Into<String>) / set_marker(Option<String>):
 The maximum number of steps that a single ListSteps action returns is 50. To return a longer list of steps, use multiple ListSteps actions along with the Marker parameter, which is a pagination token that indicates the next set of results to retrieve.
On success, responds with ListStepsOutput with field(s):
- steps(Option<Vec<StepSummary>>):
 The filtered list of steps for the cluster.
- marker(Option<String>):
 The maximum number of steps that a single ListSteps action returns is 50. To return a longer list of steps, use multiple ListSteps actions along with the Marker parameter, which is a pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListStepsError>

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pub fn list_studios(&self) -> ListStudios

Constructs a fluent builder for the ListStudios operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the set of results to retrieve.
On success, responds with ListStudiosOutput with field(s):
- studios(Option<Vec<StudioSummary>>):
 The list of Studio summary objects.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListStudiosError>

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pub fn list_studio_session_mappings(&self) -> ListStudioSessionMappings

Constructs a fluent builder for the ListStudioSessionMappings operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio.
- identity_type(IdentityType) / set_identity_type(Option<IdentityType>):
 Specifies whether to return session mappings for users or groups. If not specified, the results include session mapping details for both users and groups.
- marker(impl Into<String>) / set_marker(Option<String>):
 The pagination token that indicates the set of results to retrieve.
On success, responds with ListStudioSessionMappingsOutput with field(s):
- session_mappings(Option<Vec<SessionMappingSummary>>):
 A list of session mapping summary objects. Each object includes session mapping details such as creation time, identity type (user or group), and Amazon EMR Studio ID.
- marker(Option<String>):
 The pagination token that indicates the next set of results to retrieve.
On failure, responds with SdkError<ListStudioSessionMappingsError>

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pub fn modify_cluster(&self) -> ModifyCluster

Constructs a fluent builder for the ModifyCluster operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The unique identifier of the cluster.
- step_concurrency_level(i32) / set_step_concurrency_level(Option<i32>):
 The number of steps that can be executed concurrently. You can specify a minimum of 1 step and a maximum of 256 steps. We recommend that you do not change this parameter while steps are running or the ActionOnFailure setting may not behave as expected. For more information see Step$ActionOnFailure.
On success, responds with ModifyClusterOutput with field(s):
- step_concurrency_level(Option<i32>):
 The number of steps that can be executed concurrently.
On failure, responds with SdkError<ModifyClusterError>

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pub fn modify_instance_fleet(&self) -> ModifyInstanceFleet

Constructs a fluent builder for the ModifyInstanceFleet operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The unique identifier of the cluster.
- instance_fleet(InstanceFleetModifyConfig) / set_instance_fleet(Option<InstanceFleetModifyConfig>):
 The configuration parameters of the instance fleet.
On success, responds with ModifyInstanceFleetOutput
On failure, responds with SdkError<ModifyInstanceFleetError>

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pub fn modify_instance_groups(&self) -> ModifyInstanceGroups

Constructs a fluent builder for the ModifyInstanceGroups operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 The ID of the cluster to which the instance group belongs.
- instance_groups(Vec<InstanceGroupModifyConfig>) / set_instance_groups(Option<Vec<InstanceGroupModifyConfig>>):
 Instance groups to change.
On success, responds with ModifyInstanceGroupsOutput
On failure, responds with SdkError<ModifyInstanceGroupsError>

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pub fn put_auto_scaling_policy(&self) -> PutAutoScalingPolicy

Constructs a fluent builder for the PutAutoScalingPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of a cluster. The instance group to which the automatic scaling policy is applied is within this cluster.
- instance_group_id(impl Into<String>) / set_instance_group_id(Option<String>):
 Specifies the ID of the instance group to which the automatic scaling policy is applied.
- auto_scaling_policy(AutoScalingPolicy) / set_auto_scaling_policy(Option<AutoScalingPolicy>):
 Specifies the definition of the automatic scaling policy.
On success, responds with PutAutoScalingPolicyOutput with field(s):
- cluster_id(Option<String>):
 Specifies the ID of a cluster. The instance group to which the automatic scaling policy is applied is within this cluster.
- instance_group_id(Option<String>):
 Specifies the ID of the instance group to which the scaling policy is applied.
- auto_scaling_policy(Option<AutoScalingPolicyDescription>):
 The automatic scaling policy definition.
- cluster_arn(Option<String>):
 The Amazon Resource Name (ARN) of the cluster.
On failure, responds with SdkError<PutAutoScalingPolicyError>

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pub fn put_auto_termination_policy(&self) -> PutAutoTerminationPolicy

Constructs a fluent builder for the PutAutoTerminationPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of the Amazon EMR cluster to which the auto-termination policy will be attached.
- auto_termination_policy(AutoTerminationPolicy) / set_auto_termination_policy(Option<AutoTerminationPolicy>):
 Specifies the auto-termination policy to attach to the cluster.
On success, responds with PutAutoTerminationPolicyOutput
On failure, responds with SdkError<PutAutoTerminationPolicyError>

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pub fn put_block_public_access_configuration(
&self
) -> PutBlockPublicAccessConfiguration

Constructs a fluent builder for the PutBlockPublicAccessConfiguration operation.

The fluent builder is configurable:
- block_public_access_configuration(BlockPublicAccessConfiguration) / set_block_public_access_configuration(Option<BlockPublicAccessConfiguration>):
 A configuration for Amazon EMR block public access. The configuration applies to all clusters created in your account for the current Region. The configuration specifies whether block public access is enabled. If block public access is enabled, security groups associated with the cluster cannot have rules that allow inbound traffic from 0.0.0.0/0 or ::/0 on a port, unless the port is specified as an exception using PermittedPublicSecurityGroupRuleRanges in the BlockPublicAccessConfiguration. By default, Port 22 (SSH) is an exception, and public access is allowed on this port. You can change this by updating BlockPublicSecurityGroupRules to remove the exception.
 
 For accounts that created clusters in a Region before November 25, 2019, block public access is disabled by default in that Region. To use this feature, you must manually enable and configure it. For accounts that did not create an EMR cluster in a Region before this date, block public access is enabled by default in that Region.
On success, responds with PutBlockPublicAccessConfigurationOutput
On failure, responds with SdkError<PutBlockPublicAccessConfigurationError>

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pub fn put_managed_scaling_policy(&self) -> PutManagedScalingPolicy

Constructs a fluent builder for the PutManagedScalingPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of an EMR cluster where the managed scaling policy is attached.
- managed_scaling_policy(ManagedScalingPolicy) / set_managed_scaling_policy(Option<ManagedScalingPolicy>):
 Specifies the constraints for the managed scaling policy.
On success, responds with PutManagedScalingPolicyOutput
On failure, responds with SdkError<PutManagedScalingPolicyError>

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pub fn remove_auto_scaling_policy(&self) -> RemoveAutoScalingPolicy

Constructs a fluent builder for the RemoveAutoScalingPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of a cluster. The instance group to which the automatic scaling policy is applied is within this cluster.
- instance_group_id(impl Into<String>) / set_instance_group_id(Option<String>):
 Specifies the ID of the instance group to which the scaling policy is applied.
On success, responds with RemoveAutoScalingPolicyOutput
On failure, responds with SdkError<RemoveAutoScalingPolicyError>

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pub fn remove_auto_termination_policy(&self) -> RemoveAutoTerminationPolicy

Constructs a fluent builder for the RemoveAutoTerminationPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of the Amazon EMR cluster from which the auto-termination policy will be removed.
On success, responds with RemoveAutoTerminationPolicyOutput
On failure, responds with SdkError<RemoveAutoTerminationPolicyError>

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pub fn remove_managed_scaling_policy(&self) -> RemoveManagedScalingPolicy

Constructs a fluent builder for the RemoveManagedScalingPolicy operation.

The fluent builder is configurable:
- cluster_id(impl Into<String>) / set_cluster_id(Option<String>):
 Specifies the ID of the cluster from which the managed scaling policy will be removed.
On success, responds with RemoveManagedScalingPolicyOutput
On failure, responds with SdkError<RemoveManagedScalingPolicyError>

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pub fn remove_tags(&self) -> RemoveTags

Constructs a fluent builder for the RemoveTags operation.

The fluent builder is configurable:
- resource_id(impl Into<String>) / set_resource_id(Option<String>):
 The Amazon EMR resource identifier from which tags will be removed. For example, a cluster identifier or an Amazon EMR Studio ID.
- tag_keys(Vec<String>) / set_tag_keys(Option<Vec<String>>):
 A list of tag keys to remove from the resource.
On success, responds with RemoveTagsOutput
On failure, responds with SdkError<RemoveTagsError>

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pub fn run_job_flow(&self) -> RunJobFlow

Constructs a fluent builder for the RunJobFlow operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
 The name of the job flow.
- log_uri(impl Into<String>) / set_log_uri(Option<String>):
 The location in Amazon S3 to write the log files of the job flow. If a value is not provided, logs are not created.
- log_encryption_kms_key_id(impl Into<String>) / set_log_encryption_kms_key_id(Option<String>):
 The KMS key used for encrypting log files. If a value is not provided, the logs remain encrypted by AES-256. This attribute is only available with Amazon EMR version 5.30.0 and later, excluding Amazon EMR 6.0.0.
- additional_info(impl Into<String>) / set_additional_info(Option<String>):
 A JSON string for selecting additional features.
- ami_version(impl Into<String>) / set_ami_version(Option<String>):
 Applies only to Amazon EMR AMI versions 3.x and 2.x. For Amazon EMR releases 4.0 and later, ReleaseLabel is used. To specify a custom AMI, use CustomAmiID.
- release_label(impl Into<String>) / set_release_label(Option<String>):
 The Amazon EMR release label, which determines the version of open-source application packages installed on the cluster. Release labels are in the form emr-x.x.x, where x.x.x is an Amazon EMR release version such as emr-5.14.0. For more information about Amazon EMR release versions and included application versions and features, see https://docs.aws.amazon.com/emr/latest/ReleaseGuide/. The release label applies only to Amazon EMR releases version 4.0 and later. Earlier versions use AmiVersion.
- instances(JobFlowInstancesConfig) / set_instances(Option<JobFlowInstancesConfig>):
 A specification of the number and type of Amazon EC2 instances.
- steps(Vec<StepConfig>) / set_steps(Option<Vec<StepConfig>>):
 A list of steps to run.
- bootstrap_actions(Vec<BootstrapActionConfig>) / set_bootstrap_actions(Option<Vec<BootstrapActionConfig>>):
 A list of bootstrap actions to run before Hadoop starts on the cluster nodes.
- supported_products(Vec<String>) / set_supported_products(Option<Vec<String>>):
 For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and later, use Applications.
 
 A list of strings that indicates third-party software to use. For more information, see the Amazon EMR Developer Guide. Currently supported values are:
 - “mapr-m3” - launch the job flow using MapR M3 Edition.
 - “mapr-m5” - launch the job flow using MapR M5 Edition.
- new_supported_products(Vec<SupportedProductConfig>) / set_new_supported_products(Option<Vec<SupportedProductConfig>>):
 For Amazon EMR releases 3.x and 2.x. For Amazon EMR releases 4.x and later, use Applications.
 
 A list of strings that indicates third-party software to use with the job flow that accepts a user argument list. EMR accepts and forwards the argument list to the corresponding installation script as bootstrap action arguments. For more information, see “Launch a Job Flow on the MapR Distribution for Hadoop” in the Amazon EMR Developer Guide. Supported values are:
 - “mapr-m3” - launch the cluster using MapR M3 Edition.
 - “mapr-m5” - launch the cluster using MapR M5 Edition.
 - “mapr” with the user arguments specifying “–edition,m3” or “–edition,m5” - launch the job flow using MapR M3 or M5 Edition respectively.
 - “mapr-m7” - launch the cluster using MapR M7 Edition.
 - “hunk” - launch the cluster with the Hunk Big Data Analytics Platform.
 - “hue”- launch the cluster with Hue installed.
 - “spark” - launch the cluster with Apache Spark installed.
 - “ganglia” - launch the cluster with the Ganglia Monitoring System installed.
- applications(Vec<Application>) / set_applications(Option<Vec<Application>>):
 Applies to Amazon EMR releases 4.0 and later. A case-insensitive list of applications for Amazon EMR to install and configure when launching the cluster. For a list of applications available for each Amazon EMR release version, see the Amazon EMRRelease Guide.
- configurations(Vec<Configuration>) / set_configurations(Option<Vec<Configuration>>):
 For Amazon EMR releases 4.0 and later. The list of configurations supplied for the EMR cluster you are creating.
- visible_to_all_users(bool) / set_visible_to_all_users(bool):
 The VisibleToAllUsers parameter is no longer supported. By default, the value is set to true. Setting it to false now has no effect.
 
 Set this value to true so that IAM principals in the Amazon Web Services account associated with the cluster can perform EMR actions on the cluster that their IAM policies allow. This value defaults to true for clusters created using the EMR API or the CLI create-cluster command.
 
 When set to false, only the IAM principal that created the cluster and the Amazon Web Services account root user can perform EMR actions for the cluster, regardless of the IAM permissions policies attached to other IAM principals. For more information, see Understanding the EMR Cluster VisibleToAllUsers Setting in the Amazon EMRManagement Guide.
- job_flow_role(impl Into<String>) / set_job_flow_role(Option<String>):
 Also called instance profile and EC2 role. An IAM role for an EMR cluster. The EC2 instances of the cluster assume this role. The default role is EMR_EC2_DefaultRole. In order to use the default role, you must have already created it using the CLI or console.
- service_role(impl Into<String>) / set_service_role(Option<String>):
 The IAM role that Amazon EMR assumes in order to access Amazon Web Services resources on your behalf.
- tags(Vec<Tag>) / set_tags(Option<Vec<Tag>>):
 A list of tags to associate with a cluster and propagate to Amazon EC2 instances.
- security_configuration(impl Into<String>) / set_security_configuration(Option<String>):
 The name of a security configuration to apply to the cluster.
- auto_scaling_role(impl Into<String>) / set_auto_scaling_role(Option<String>):
 An IAM role for automatic scaling policies. The default role is EMR_AutoScaling_DefaultRole. The IAM role provides permissions that the automatic scaling feature requires to launch and terminate EC2 instances in an instance group.
- scale_down_behavior(ScaleDownBehavior) / set_scale_down_behavior(Option<ScaleDownBehavior>):
 Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an instance group is resized. TERMINATE_AT_INSTANCE_HOUR indicates that Amazon EMR terminates nodes at the instance-hour boundary, regardless of when the request to terminate the instance was submitted. This option is only available with Amazon EMR 5.1.0 and later and is the default for clusters created using that version. TERMINATE_AT_TASK_COMPLETION indicates that Amazon EMR adds nodes to a deny list and drains tasks from nodes before terminating the Amazon EC2 instances, regardless of the instance-hour boundary. With either behavior, Amazon EMR removes the least active nodes first and blocks instance termination if it could lead to HDFS corruption. TERMINATE_AT_TASK_COMPLETION available only in Amazon EMR version 4.1.0 and later, and is the default for versions of Amazon EMR earlier than 5.1.0.
- custom_ami_id(impl Into<String>) / set_custom_ami_id(Option<String>):
 Available only in Amazon EMR version 5.7.0 and later. The ID of a custom Amazon EBS-backed Linux AMI. If specified, Amazon EMR uses this AMI when it launches cluster EC2 instances. For more information about custom AMIs in Amazon EMR, see Using a Custom AMI in the Amazon EMR Management Guide. If omitted, the cluster uses the base Linux AMI for the ReleaseLabel specified. For Amazon EMR versions 2.x and 3.x, use AmiVersion instead.
 
 For information about creating a custom AMI, see Creating an Amazon EBS-Backed Linux AMI in the Amazon Elastic Compute Cloud User Guide for Linux Instances. For information about finding an AMI ID, see Finding a Linux AMI.
- ebs_root_volume_size(i32) / set_ebs_root_volume_size(Option<i32>):
 The size, in GiB, of the Amazon EBS root device volume of the Linux AMI that is used for each EC2 instance. Available in Amazon EMR version 4.x and later.
- repo_upgrade_on_boot(RepoUpgradeOnBoot) / set_repo_upgrade_on_boot(Option<RepoUpgradeOnBoot>):
 Applies only when CustomAmiID is used. Specifies which updates from the Amazon Linux AMI package repositories to apply automatically when the instance boots using the AMI. If omitted, the default is SECURITY, which indicates that only security updates are applied. If NONE is specified, no updates are applied, and all updates must be applied manually.
- kerberos_attributes(KerberosAttributes) / set_kerberos_attributes(Option<KerberosAttributes>):
 Attributes for Kerberos configuration when Kerberos authentication is enabled using a security configuration. For more information see Use Kerberos Authentication in the Amazon EMR Management Guide.
- step_concurrency_level(i32) / set_step_concurrency_level(Option<i32>):
 Specifies the number of steps that can be executed concurrently. The default value is 1. The maximum value is 256.
- managed_scaling_policy(ManagedScalingPolicy) / set_managed_scaling_policy(Option<ManagedScalingPolicy>):
 The specified managed scaling policy for an Amazon EMR cluster.
- placement_group_configs(Vec<PlacementGroupConfig>) / set_placement_group_configs(Option<Vec<PlacementGroupConfig>>):
 The specified placement group configuration for an Amazon EMR cluster.
- auto_termination_policy(AutoTerminationPolicy) / set_auto_termination_policy(Option<AutoTerminationPolicy>):
 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.
- os_release_label(impl Into<String>) / set_os_release_label(Option<String>):
 Specifies a particular Amazon Linux release for all nodes in a cluster launch RunJobFlow request. If a release is not specified, Amazon EMR uses the latest validated Amazon Linux release for cluster launch.
On success, responds with RunJobFlowOutput with field(s):
- job_flow_id(Option<String>):
 A unique identifier for the job flow.
- cluster_arn(Option<String>):
 The Amazon Resource Name (ARN) of the cluster.
On failure, responds with SdkError<RunJobFlowError>

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pub fn set_termination_protection(&self) -> SetTerminationProtection

Constructs a fluent builder for the SetTerminationProtection operation.

The fluent builder is configurable:
- job_flow_ids(Vec<String>) / set_job_flow_ids(Option<Vec<String>>):
 A list of strings that uniquely identify the clusters to protect. This identifier is returned by RunJobFlow and can also be obtained from DescribeJobFlows .
- termination_protected(bool) / set_termination_protected(bool):
 A Boolean that indicates whether to protect the cluster and prevent the Amazon EC2 instances in the cluster from shutting down due to API calls, user intervention, or job-flow error.
On success, responds with SetTerminationProtectionOutput
On failure, responds with SdkError<SetTerminationProtectionError>

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pub fn set_visible_to_all_users(&self) -> SetVisibleToAllUsers

Constructs a fluent builder for the SetVisibleToAllUsers operation.

The fluent builder is configurable:
- job_flow_ids(Vec<String>) / set_job_flow_ids(Option<Vec<String>>):
 The unique identifier of the job flow (cluster).
- visible_to_all_users(bool) / set_visible_to_all_users(bool):
 A value of true indicates that an IAM principal in the Amazon Web Services account can perform EMR actions on the cluster that the IAM policies attached to the principal allow. A value of false indicates that only the IAM principal that created the cluster and the Amazon Web Services root user can perform EMR actions on the cluster.
On success, responds with SetVisibleToAllUsersOutput
On failure, responds with SdkError<SetVisibleToAllUsersError>

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pub fn start_notebook_execution(&self) -> StartNotebookExecution

Constructs a fluent builder for the StartNotebookExecution operation.

The fluent builder is configurable:
- editor_id(impl Into<String>) / set_editor_id(Option<String>):
 The unique identifier of the EMR Notebook to use for notebook execution.
- relative_path(impl Into<String>) / set_relative_path(Option<String>):
 The path and file name of the notebook file for this execution, relative to the path specified for the EMR Notebook. For example, if you specify a path of s3://MyBucket/MyNotebooks when you create an EMR Notebook for a notebook with an ID of e-ABCDEFGHIJK1234567890ABCD (the EditorID of this request), and you specify a RelativePath of my_notebook_executions/notebook_execution.ipynb, the location of the file for the notebook execution is s3://MyBucket/MyNotebooks/e-ABCDEFGHIJK1234567890ABCD/my_notebook_executions/notebook_execution.ipynb.
- notebook_execution_name(impl Into<String>) / set_notebook_execution_name(Option<String>):
 An optional name for the notebook execution.
- notebook_params(impl Into<String>) / set_notebook_params(Option<String>):
 Input parameters in JSON format passed to the EMR Notebook at runtime for execution.
- execution_engine(ExecutionEngineConfig) / set_execution_engine(Option<ExecutionEngineConfig>):
 Specifies the execution engine (cluster) that runs the notebook execution.
- service_role(impl Into<String>) / set_service_role(Option<String>):
 The name or ARN of the IAM role that is used as the service role for Amazon EMR (the EMR role) for the notebook execution.
- notebook_instance_security_group_id(impl Into<String>) / set_notebook_instance_security_group_id(Option<String>):
 The unique identifier of the Amazon EC2 security group to associate with the EMR Notebook for this notebook execution.
- tags(Vec<Tag>) / set_tags(Option<Vec<Tag>>):
 A list of tags associated with a notebook execution. Tags are user-defined key-value pairs that consist of a required key string with a maximum of 128 characters and an optional value string with a maximum of 256 characters.
On success, responds with StartNotebookExecutionOutput with field(s):
- notebook_execution_id(Option<String>):
 The unique identifier of the notebook execution.
On failure, responds with SdkError<StartNotebookExecutionError>

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pub fn stop_notebook_execution(&self) -> StopNotebookExecution

Constructs a fluent builder for the StopNotebookExecution operation.

The fluent builder is configurable:
- notebook_execution_id(impl Into<String>) / set_notebook_execution_id(Option<String>):
 The unique identifier of the notebook execution.
On success, responds with StopNotebookExecutionOutput
On failure, responds with SdkError<StopNotebookExecutionError>

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pub fn terminate_job_flows(&self) -> TerminateJobFlows

Constructs a fluent builder for the TerminateJobFlows operation.

The fluent builder is configurable:
- job_flow_ids(Vec<String>) / set_job_flow_ids(Option<Vec<String>>):
 A list of job flows to be shut down.
On success, responds with TerminateJobFlowsOutput
On failure, responds with SdkError<TerminateJobFlowsError>

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pub fn update_studio(&self) -> UpdateStudio

Constructs a fluent builder for the UpdateStudio operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio to update.
- name(impl Into<String>) / set_name(Option<String>):
 A descriptive name for the Amazon EMR Studio.
- description(impl Into<String>) / set_description(Option<String>):
 A detailed description to assign to the Amazon EMR Studio.
- subnet_ids(Vec<String>) / set_subnet_ids(Option<Vec<String>>):
 A list of subnet IDs to associate with the Amazon EMR Studio. The list can include new subnet IDs, but must also include all of the subnet IDs previously associated with the Studio. The list order does not matter. A Studio can have a maximum of 5 subnets. The subnets must belong to the same VPC as the Studio.
- default_s3_location(impl Into<String>) / set_default_s3_location(Option<String>):
 The Amazon S3 location to back up Workspaces and notebook files for the Amazon EMR Studio.
On success, responds with UpdateStudioOutput
On failure, responds with SdkError<UpdateStudioError>

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pub fn update_studio_session_mapping(&self) -> UpdateStudioSessionMapping

Constructs a fluent builder for the UpdateStudioSessionMapping operation.

The fluent builder is configurable:
- studio_id(impl Into<String>) / set_studio_id(Option<String>):
 The ID of the Amazon EMR Studio.
- identity_id(impl Into<String>) / set_identity_id(Option<String>):
 The globally unique identifier (GUID) of the user or group. For more information, see UserId and GroupId in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified.
- identity_name(impl Into<String>) / set_identity_name(Option<String>):
 The name of the user or group to update. For more information, see UserName and DisplayName in the Amazon Web Services SSO Identity Store API Reference. Either IdentityName or IdentityId must be specified.
- identity_type(IdentityType) / set_identity_type(Option<IdentityType>):
 Specifies whether the identity to update is a user or a group.
- session_policy_arn(impl Into<String>) / set_session_policy_arn(Option<String>):
 The Amazon Resource Name (ARN) of the session policy to associate with the specified user or group.
On success, responds with UpdateStudioSessionMappingOutput
On failure, responds with SdkError<UpdateStudioSessionMappingError>