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