arazzo: 1.0.1
info:
  title: Azure Synapse Analytics Provision Spark Pool
  summary: Create or update an Apache Spark (big data) pool and confirm its state.
  description: >-
    Apache Spark pools, also called big data pools, provide the managed Spark
    compute for Azure Synapse Analytics and are managed through the Azure
    Resource Manager plane. This workflow provisions a Spark pool and then reads
    it back to confirm its node configuration and provisioning state. Every step
    spells out its request inline so the flow can be read and executed without
    opening the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: sparkPoolsApi
  url: ../openapi/azure-synapse-analytics-spark-pools-openapi.yml
  type: openapi
workflows:
- workflowId: provision-spark-pool
  summary: Create or update an Apache Spark (big data) pool and verify it.
  description: >-
    Creates or updates a big data pool resource and reads it back to capture its
    provisioning state and node count.
  inputs:
    type: object
    required:
    - apiVersion
    - subscriptionId
    - resourceGroupName
    - workspaceName
    - bigDataPoolName
    - bigDataPool
    properties:
      apiVersion:
        type: string
        description: The ARM API version for big data pools (e.g. 2021-06-01).
      subscriptionId:
        type: string
        description: The Azure subscription id.
      resourceGroupName:
        type: string
        description: The resource group containing the Synapse workspace.
      workspaceName:
        type: string
        description: The Synapse workspace name.
      bigDataPoolName:
        type: string
        description: The name of the Spark (big data) pool to create or update.
      bigDataPool:
        type: object
        description: The BigDataPoolResourceInfo body (location, properties).
  steps:
  - stepId: createSparkPool
    description: >-
      Create or update the Apache Spark (big data) pool within the workspace.
    operationId: BigDataPools_CreateOrUpdate
    parameters:
    - name: api-version
      in: query
      value: $inputs.apiVersion
    - name: subscriptionId
      in: path
      value: $inputs.subscriptionId
    - name: resourceGroupName
      in: path
      value: $inputs.resourceGroupName
    - name: workspaceName
      in: path
      value: $inputs.workspaceName
    - name: bigDataPoolName
      in: path
      value: $inputs.bigDataPoolName
    requestBody:
      contentType: application/json
      payload: $inputs.bigDataPool
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      sparkPoolId: $response.body#/id
  - stepId: confirmSparkPool
    description: >-
      Read the Spark pool back to confirm its node configuration and
      provisioning state.
    operationId: BigDataPools_Get
    parameters:
    - name: api-version
      in: query
      value: $inputs.apiVersion
    - name: subscriptionId
      in: path
      value: $inputs.subscriptionId
    - name: resourceGroupName
      in: path
      value: $inputs.resourceGroupName
    - name: workspaceName
      in: path
      value: $inputs.workspaceName
    - name: bigDataPoolName
      in: path
      value: $inputs.bigDataPoolName
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      provisioningState: $response.body#/properties/provisioningState
      nodeCount: $response.body#/properties/nodeCount
  outputs:
    sparkPoolId: $steps.createSparkPool.outputs.sparkPoolId
    provisioningState: $steps.confirmSparkPool.outputs.provisioningState