Tutorial: Configure a cluster in Azure HDInsight using Ansible

Article
08/30/2021

Important

Ansible 2.8 (or later) is required to run the sample playbooks in this article.

Azure HDInsight is a Hadoop-based analytics service for processing data. HDInsight is an ETL (extract, transform, load) tool used to work with big data - either structured or unstructured. HDInsight supports several cluster types where each type supports a different set of components.

In this article, you learn how to:

Create a storage account for HDInsight
Configure a HDInsight Spark cluster.
Resize a cluster
Delete a cluster

Prerequisites

Azure subscription: If you don't have an Azure subscription, create a free account before you begin.

Install Ansible: Do one of the following options:
- Install and configure Ansible on a Linux virtual machine
- Configure Azure Cloud Shell and - if you don't have access to a Linux virtual machine - create a virtual machine with Ansible.

Create a random postfix

The playbook code in this section creates a random postfix to use as part of the Azure HDInsight cluster name.

- hosts: localhost
  vars:
    resource_group: "{{ resource_group_name }}"  
  tasks:
    - name: Prepare random prefix
      set_fact:
        rpfx: "{{ resource_group | hash('md5') | truncate(7, True, '') }}{{ 1000 | random }}"
      run_once: yes

Create resource group

An Azure resource group is a logical container in which Azure resources are deployed and managed.

The playbook code in this section creates a resource group.

  tasks:
    - name: Create a resource group
      azure_rm_resourcegroup:
        name: "{{ resource_group }}"
        location: "{{ location }}"

Create a storage account and retrieve key

An Azure storage account is used as the default storage for the HDInsight cluster.

The playbook code in this section retrieves the key used to access the storage account.

- name: Create storage account
  azure_rm_storageaccount:
      resource_group: "{{ resource_group }}"
      name: "{{ storage_account_name }}"
      account_type: Standard_LRS
      location: eastus2

- name: Get storage account keys
  azure_rm_resource:
    api_version: '2018-07-01'
    method: POST
    resource_group: "{{ resource_group }}"
    provider: storage
    resource_type: storageaccounts
    resource_name: "{{ storage_account_name }}"
    subresource:
      - type: listkeys
  register: storage_output

- debug:
    var: storage_output

Create an HDInsight Spark cluster

The playbook code in this section creates the Azure HDInsight cluster.

- name: Create instance of Cluster
  azure_rm_hdinsightcluster:
    resource_group: "{{ resource_group }}"
    name: "{{ cluster_name }}"
    location: eastus2
    cluster_version: 3.6
    os_type: linux
    tier: standard
    cluster_definition:
      kind: spark
      gateway_rest_username: http-user
      gateway_rest_password: MuABCPassword!!@123
    storage_accounts:
      - name: "{{ storage_account_name }}.blob.core.windows.net"
        is_default: yes
        container: "{{ cluster_name }}"
        key: "{{ storage_output['response']['keys'][0]['value'] }}"
    compute_profile_roles:
      - name: headnode
        target_instance_count: 1
        vm_size: Standard_D3
        linux_profile:
          username: sshuser
          password: MuABCPassword!!@123
      - name: workernode
        target_instance_count: 1
        vm_size: Standard_D3
        linux_profile:
          username: sshuser
          password: MuABCPassword!!@123
      - name: zookeepernode
        target_instance_count: 3
        vm_size: Medium
        linux_profile:
          username: sshuser
          password: MuABCPassword!!@123

The instance creation can take several minutes to complete.

Resize the cluster

After cluster creation, the only setting you can change is the number of worker nodes.

The playbook code in this section increments the number of worker nodes by updating target_instance_count within workernode.

- name: Resize cluster
  azure_rm_hdinsightcluster:
    resource_group: "{{ resource_group }}"
    name: "{{ cluster_name }}"
    location: eastus2
    cluster_version: 3.6
    os_type: linux
    tier: standard
    cluster_definition:
      kind: spark
      gateway_rest_username: http-user
      gateway_rest_password: MuABCPassword!!@123
    storage_accounts:
      - name: "{{ storage_account_name }}.blob.core.windows.net"
        is_default: yes
        container: "{{ cluster_name }}"
        key: "{{ storage_output['response']['keys'][0]['value'] }}"
    compute_profile_roles:
      - name: headnode
        target_instance_count: 1
        vm_size: Standard_D3
        linux_profile:
          username: sshuser
          password: MuABCPassword!!@123
      - name: workernode
        target_instance_count: 2
        vm_size: Standard_D3
        linux_profile:
          username: sshuser
          password: MuABCPassword!!@123
      - name: zookeepernode
        target_instance_count: 3
        vm_size: Medium
        linux_profile:
          username: sshuser
          password: MuABCPassword!!@123
    tags:
      aaa: bbb
  register: output

Delete the cluster instance

Billing for HDInsight clusters is prorated per minute.

The playbook code in this section deletes the cluster.

- name: Delete instance of Cluster
  azure_rm_hdinsightcluster:
    resource_group: "{{ resource_group }}"
    name: "{{ cluster_name }}"
    state: absent

Get the sample playbook

There are two ways to get the complete sample playbook:

Download the playbook and save it to hdinsight_create.yml.
Create a new file named hdinsight_create.yml and copy the following contents into it:

---
- hosts: localhost
  vars:
    resource_group: "{{ resource_group_name }}"
  tasks:
    - name: Prepare random prefix
      set_fact:
        rpfx: "{{ resource_group | hash('md5') | truncate(7, True, '') }}{{ 1000 | random }}"
      run_once: yes

- hosts: localhost
  #roles:
  #  - azure.azure_preview_modules
  vars:
    resource_group: "{{ resource_group_name }}"
    location: eastus2
    vnet_name: myVirtualNetwork
    subnet_name: mySubnet
    cluster_name: mycluster{{ rpfx }}
    storage_account_name: mystorage{{ rpfx }}

  tasks:
    - name: Create a resource group
      azure_rm_resourcegroup:
        name: "{{ resource_group }}"
        location: "{{ location }}"

    - name: Create storage account
      azure_rm_storageaccount:
        resource_group: "{{ resource_group }}"
        name: "{{ storage_account_name }}"
        account_type: Standard_LRS
        location: "{{ location }}"

    - name: Get storage account keys
      azure_rm_resource:
        api_version: '2018-07-01'
        method: POST
        resource_group: "{{ resource_group }}"
        provider: storage
        resource_type: storageaccounts
        resource_name: "{{ storage_account_name }}"
        subresource:
          - type: listkeys
      register: storage_output
    - debug:
        var: storage_output

    - name: Create instance of Cluster
      azure_rm_hdinsightcluster:
        resource_group: "{{ resource_group }}"
        name: "{{ cluster_name }}"
        location: "{{ location }}"
        cluster_version: 3.6
        os_type: linux
        tier: standard
        cluster_definition:
          kind: spark
          gateway_rest_username: http-user
          gateway_rest_password: MuABCPassword!!@123 
        storage_accounts:
          - name: "{{ storage_account_name }}.blob.core.windows.net" 
            is_default: yes
            container: "{{ cluster_name }}"
            key: "{{ storage_output['response']['keys'][0]['value'] }}"
        compute_profile_roles:
          - name: headnode
            target_instance_count: 1
            vm_size: Standard_D3
            linux_profile:
              username: sshuser
              password: MuABCPassword!!@123
          - name: workernode
            target_instance_count: 1
            vm_size: Standard_D3
            linux_profile:
              username: sshuser
              password: MuABCPassword!!@123
          - name: zookeepernode
            target_instance_count: 3
            vm_size: Medium
            linux_profile:
              username: sshuser
              password: MuABCPassword!!@123

    - name: Resize cluster
      azure_rm_hdinsightcluster:
        resource_group: "{{ resource_group }}"
        name: "{{ cluster_name }}"
        location: "{{ location }}"
        cluster_version: 3.6
        os_type: linux
        tier: standard
        cluster_definition:
          kind: spark
          gateway_rest_username: http-user
          gateway_rest_password: MuABCPassword!!@123 
        storage_accounts:
          - name: "{{ storage_account_name }}.blob.core.windows.net"
            is_default: yes
            container: "{{ cluster_name }}"
            key: "{{ storage_output['response']['keys'][0]['value'] }}"
        compute_profile_roles:
          - name: headnode
            target_instance_count: 1
            vm_size: Standard_D3
            linux_profile:
              username: sshuser
              password: MuABCPassword!!@123
          - name: workernode
            target_instance_count: 2
            vm_size: Standard_D3
            linux_profile:
              username: sshuser
              password: MuABCPassword!!@123
          - name: zookeepernode
            target_instance_count: 3
            vm_size: Medium
            linux_profile:
              username: sshuser
              password: MuABCPassword!!@123
        tags:
          aaa: bbb
      register: output
    - debug:
        var: output

    - name: Assert the state has changed
      assert:
        that:
          - output.changed

    - name: Delete instance of Cluster
      azure_rm_hdinsightcluster:
        resource_group: "{{ resource_group }}"
        name: "{{ cluster_name }}"
        state: absent

Run the sample playbook

In this section, run the playbook to test various features shown in this article.

Before running the playbook, make the following changes:

In the vars section, replace the {{ resource_group_name }} placeholder with the name of your resource group.

Run the playbook using ansible-playbook

ansible-playbook hdinsight.yml

Clean up resources

Save the following code as delete_rg.yml.

---
- hosts: localhost
  tasks:
    - name: Deleting resource group - "{{ name }}"
      azure_rm_resourcegroup:
        name: "{{ name }}"
        state: absent
      register: rg
    - debug:
        var: rg

Run the playbook using the ansible-playbook command. Replace the placeholder with the name of the resource group to be deleted. All resources within the resource group will be deleted.
```
ansible-playbook delete_rg.yml --extra-vars "name=<resource_group>"
```
Key points:
- Because of the register variable and debug section of the playbook, the results display when the command finishes.

Run az group delete to delete the resource group. All resources within the resource group will be deleted.
```
az group delete --name <resource_group>
```
Verify that the resource group was deleted by using az group show.
```
az group show --name <resource_group>
```

Run Remove-AzResourceGroup to delete the resource group. All resources within the resource group will be deleted.
```
Remove-AzResourceGroup -Name <resource_group>
```
Verify that the resource group was deleted by using Get-AzResourceGroup.
```
Get-AzResourceGroup -Name <resource_group>
```

Next steps

Ansible on Azure

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