Amazon Web Services Virtual Clusters API
The Virtual Clusters API from Amazon Web Services — 7 operation(s) for virtual clusters.
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OpenAPI Specification
openapi: 3.2.0
info:
title: Amazon Web Services emr-containers Virtualclusters API
description: Amazon EMR on EKS provides a deployment option for Amazon EMR that allows you to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS).
tags:
- name: Virtual Clusters
paths:
/virtualclusters/{virtualClusterId}/jobruns/{jobRunId}:
GET:
summary: Amazon Web Services Describejobrun
description: 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.
operationId: amazonWebServicesDescribeJobRun
tags:
- Virtual Clusters
/virtualclusters/{virtualClusterId}/endpoints:
GET:
summary: Amazon Web Services Listmanagedendpoints
description: 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.
operationId: amazonWebServicesListManagedEndpoints
tags:
- Virtual Clusters
/virtualclusters:
GET:
summary: Amazon Web Services Listvirtualclusters
description: 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.
operationId: amazonWebServicesListVirtualClusters
tags:
- Virtual Clusters
/virtualclusters/{virtualClusterId}/endpoints/{endpointId}:
GET:
summary: Amazon Web Services Describemanagedendpoint
description: 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.
operationId: amazonWebServicesDescribeManagedEndpoint
tags:
- Virtual Clusters
/virtualclusters/{virtualClusterId}:
GET:
summary: Amazon Web Services Describevirtualcluster
description: 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.
operationId: amazonWebServicesDescribeVirtualCluster
tags:
- Virtual Clusters
/virtualclusters/{virtualClusterId}/endpoints/{endpointId}/credentials:
POST:
summary: Amazon Web Services Getmanagedendpointsessioncredentials
description: Generate a session token to connect to a managed endpoint.
operationId: amazonWebServicesGetManagedEndpointSessionCredentials
tags:
- Virtual Clusters
/virtualclusters/{virtualClusterId}/jobruns:
POST:
summary: Amazon Web Services Startjobrun
description: 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.
operationId: amazonWebServicesStartJobRun
tags:
- Virtual Clusters