Class: Aws::EMRContainers::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::EMRContainers::Client
- Includes:
- ClientStubs
- Defined in:
- gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb
Overview
An API client for EMRContainers. To construct a client, you need to configure a :region
and :credentials
.
client = Aws::EMRContainers::Client.new(
region: region_name,
credentials: credentials,
# ...
)
For details on configuring region and credentials see the developer guide.
See #initialize for a full list of supported configuration options.
Instance Attribute Summary
Attributes inherited from Seahorse::Client::Base
API Operations collapse
-
#cancel_job_run(params = {}) ⇒ Types::CancelJobRunResponse
Cancels a job run.
-
#create_job_template(params = {}) ⇒ Types::CreateJobTemplateResponse
Creates a job template.
-
#create_managed_endpoint(params = {}) ⇒ Types::CreateManagedEndpointResponse
Creates a managed endpoint.
-
#create_virtual_cluster(params = {}) ⇒ Types::CreateVirtualClusterResponse
Creates a virtual cluster.
-
#delete_job_template(params = {}) ⇒ Types::DeleteJobTemplateResponse
Deletes a job template.
-
#delete_managed_endpoint(params = {}) ⇒ Types::DeleteManagedEndpointResponse
Deletes a managed endpoint.
-
#delete_virtual_cluster(params = {}) ⇒ Types::DeleteVirtualClusterResponse
Deletes a virtual cluster.
-
#describe_job_run(params = {}) ⇒ Types::DescribeJobRunResponse
Displays detailed information about a job run.
-
#describe_job_template(params = {}) ⇒ Types::DescribeJobTemplateResponse
Displays detailed information about a specified job template.
-
#describe_managed_endpoint(params = {}) ⇒ Types::DescribeManagedEndpointResponse
Displays detailed information about a managed endpoint.
-
#describe_virtual_cluster(params = {}) ⇒ Types::DescribeVirtualClusterResponse
Displays detailed information about a specified virtual cluster.
-
#get_managed_endpoint_session_credentials(params = {}) ⇒ Types::GetManagedEndpointSessionCredentialsResponse
Generate a session token to connect to a managed endpoint.
-
#list_job_runs(params = {}) ⇒ Types::ListJobRunsResponse
Lists job runs based on a set of parameters.
-
#list_job_templates(params = {}) ⇒ Types::ListJobTemplatesResponse
Lists job templates based on a set of parameters.
-
#list_managed_endpoints(params = {}) ⇒ Types::ListManagedEndpointsResponse
Lists managed endpoints based on a set of parameters.
-
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists the tags assigned to the resources.
-
#list_virtual_clusters(params = {}) ⇒ Types::ListVirtualClustersResponse
Lists information about the specified virtual cluster.
-
#start_job_run(params = {}) ⇒ Types::StartJobRunResponse
Starts a job run.
-
#tag_resource(params = {}) ⇒ Struct
Assigns tags to resources.
-
#untag_resource(params = {}) ⇒ Struct
Removes tags from resources.
Instance Method Summary collapse
-
#initialize(options) ⇒ Client
constructor
A new instance of Client.
Methods included from ClientStubs
#api_requests, #stub_data, #stub_responses
Methods inherited from Seahorse::Client::Base
add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins
Methods included from Seahorse::Client::HandlerBuilder
#handle, #handle_request, #handle_response
Constructor Details
#initialize(options) ⇒ Client
Returns a new instance of Client.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 385 def initialize(*args) super end |
Instance Method Details
#cancel_job_run(params = {}) ⇒ Types::CancelJobRunResponse
Cancels a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 422 def cancel_job_run(params = {}, = {}) req = build_request(:cancel_job_run, params) req.send_request() end |
#create_job_template(params = {}) ⇒ Types::CreateJobTemplateResponse
Creates a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 526 def create_job_template(params = {}, = {}) req = build_request(:create_job_template, params) req.send_request() end |
#create_managed_endpoint(params = {}) ⇒ Types::CreateManagedEndpointResponse
Creates a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 627 def create_managed_endpoint(params = {}, = {}) req = build_request(:create_managed_endpoint, params) req.send_request() end |
#create_virtual_cluster(params = {}) ⇒ Types::CreateVirtualClusterResponse
Creates a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 689 def create_virtual_cluster(params = {}, = {}) req = build_request(:create_virtual_cluster, params) req.send_request() end |
#delete_job_template(params = {}) ⇒ Types::DeleteJobTemplateResponse
Deletes a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 720 def delete_job_template(params = {}, = {}) req = build_request(:delete_job_template, params) req.send_request() end |
#delete_managed_endpoint(params = {}) ⇒ Types::DeleteManagedEndpointResponse
Deletes a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 756 def delete_managed_endpoint(params = {}, = {}) req = build_request(:delete_managed_endpoint, params) req.send_request() end |
#delete_virtual_cluster(params = {}) ⇒ Types::DeleteVirtualClusterResponse
Deletes a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 789 def delete_virtual_cluster(params = {}, = {}) req = build_request(:delete_virtual_cluster, params) req.send_request() end |
#describe_job_run(params = {}) ⇒ Types::DescribeJobRunResponse
Displays detailed information about a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 856 def describe_job_run(params = {}, = {}) req = build_request(:describe_job_run, params) req.send_request() end |
#describe_job_template(params = {}) ⇒ Types::DescribeJobTemplateResponse
Displays detailed information about a specified job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 918 def describe_job_template(params = {}, = {}) req = build_request(:describe_job_template, params) req.send_request() end |
#describe_managed_endpoint(params = {}) ⇒ Types::DescribeManagedEndpointResponse
Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 983 def describe_managed_endpoint(params = {}, = {}) req = build_request(:describe_managed_endpoint, params) req.send_request() end |
#describe_virtual_cluster(params = {}) ⇒ Types::DescribeVirtualClusterResponse
Displays detailed information about a specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1026 def describe_virtual_cluster(params = {}, = {}) req = build_request(:describe_virtual_cluster, params) req.send_request() end |
#get_managed_endpoint_session_credentials(params = {}) ⇒ Types::GetManagedEndpointSessionCredentialsResponse
Generate a session token to connect to a managed endpoint.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1088 def get_managed_endpoint_session_credentials(params = {}, = {}) req = build_request(:get_managed_endpoint_session_credentials, params) req.send_request() end |
#list_job_runs(params = {}) ⇒ Types::ListJobRunsResponse
Lists job runs based on a set of parameters. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1180 def list_job_runs(params = {}, = {}) req = build_request(:list_job_runs, params) req.send_request() end |
#list_job_templates(params = {}) ⇒ Types::ListJobTemplatesResponse
Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1259 def list_job_templates(params = {}, = {}) req = build_request(:list_job_templates, params) req.send_request() end |
#list_managed_endpoints(params = {}) ⇒ Types::ListManagedEndpointsResponse
Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1349 def list_managed_endpoints(params = {}, = {}) req = build_request(:list_managed_endpoints, params) req.send_request() end |
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists the tags assigned to the resources.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1378 def (params = {}, = {}) req = build_request(:list_tags_for_resource, params) req.send_request() end |
#list_virtual_clusters(params = {}) ⇒ Types::ListVirtualClustersResponse
Lists information about the specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1458 def list_virtual_clusters(params = {}, = {}) req = build_request(:list_virtual_clusters, params) req.send_request() end |
#start_job_run(params = {}) ⇒ Types::StartJobRunResponse
Starts a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1579 def start_job_run(params = {}, = {}) req = build_request(:start_job_run, params) req.send_request() end |
#tag_resource(params = {}) ⇒ Struct
Assigns tags to resources. A tag is a label that you assign to an Amazon Web Services resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your Amazon Web Services resources by attributes such as purpose, owner, or environment. When you have many resources of the same type, you can quickly identify a specific resource based on the tags you've assigned to it. For example, you can define a set of tags for your Amazon EMR on EKS clusters to help you track each cluster's owner and stack level. We recommend that you devise a consistent set of tag keys for each resource type. You can then search and filter the resources based on the tags that you add.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1617 def tag_resource(params = {}, = {}) req = build_request(:tag_resource, params) req.send_request() end |
#untag_resource(params = {}) ⇒ Struct
Removes tags from resources.
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# File 'gems/aws-sdk-emrcontainers/lib/aws-sdk-emrcontainers/client.rb', line 1643 def untag_resource(params = {}, = {}) req = build_request(:untag_resource, params) req.send_request() end |