Amazon EMR API

openapi: 3.1.0
info:
  title: Amazon EMR API
  description: >-
    Amazon EMR (Elastic MapReduce) provides a managed big data platform that
    simplifies running open-source frameworks such as Apache Spark and Hadoop
    to process and analyze vast amounts of data. This API enables you to
    create and manage clusters, add processing steps, configure auto-scaling,
    and monitor cluster health and performance.
  version: '2009-03-31'
  contact:
    name: Amazon Web Services
    url: https://aws.amazon.com/contact-us/
  termsOfService: https://aws.amazon.com/service-terms/
externalDocs:
  description: Amazon EMR API Reference
  url: https://docs.aws.amazon.com/emr/latest/APIReference/Welcome.html
servers:
- url: https://elasticmapreduce.{region}.amazonaws.com
  description: Amazon EMR Regional Endpoint
  variables:
    region:
      default: us-east-1
      description: AWS Region
tags:
- name: Clusters
  description: Operations for creating, managing, and terminating EMR clusters
paths:
  /:
    post:
      operationId: RunJobFlow
      summary: Amazon EMR Create and Start an EMR Cluster
      description: Creates and starts running a new cluster (job flow).
      tags:
      - Clusters
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - Name
              - Instances
              properties:
                Name:
                  type: string
                  description: The name of the cluster
                Instances:
                  type: object
                  description: Instance configuration for the cluster
                ReleaseLabel:
                  type: string
                  description: The Amazon EMR release label (e.g., emr-6.10.0)
                Steps:
                  type: array
                  description: Steps to run after cluster creation
                  items:
                    type: object
                Applications:
                  type: array
                  description: Applications to install on the cluster
                  items:
                    type: object
                    properties:
                      Name:
                        type: string
            examples:
              RunJobFlowRequestExample:
                summary: Default RunJobFlow request
                x-microcks-default: true
                value:
                  Name: example-name
                  Instances: {}
                  ReleaseLabel: example
                  Steps: []
                  Applications: []
      responses:
        '200':
          description: Cluster created successfully
          content:
            application/json:
              schema:
                type: object
                properties:
                  JobFlowId:
                    type: string
                    description: The unique identifier of the cluster
              examples:
                RunJobFlow200Example:
                  summary: Default RunJobFlow 200 response
                  x-microcks-default: true
                  value:
                    JobFlowId: example-id-12345
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK