Updating Apache Airflow™ and Python versions

If you do not have the Yandex Cloud CLI yet, install and initialize it.

The folder used by default is the one specified when creating the CLI profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id options.

To upgrade your Apache Airflow™ or Python version:

1. Get the list of your Managed Service for Apache Airflow™ clusters:

   yc managed-airflow cluster list
   

2. Get information about the cluster you need and check the version in the config.airflow_version and config.python_version properties:

   yc managed-airflow cluster get <cluster_name_or_ID>
   

3. To upgrade your Apache Airflow™ version, run this command:

   yc managed-airflow cluster update <cluster_name_or_ID> \
     --airflow-version=<new_version_number>
   

4. To upgrade your Python version, run this command:

   yc managed-airflow cluster update <cluster_name_or_ID> \
     --python-version=<new_version_number>
   

To upgrade your Apache Airflow™ or Python version:

1. Open the current Terraform configuration file describing your infrastructure.

   For more on how to create this file, see Creating a cluster.

2. Add the airflow_version or python_version parameter to the cluster description or update it if it is already there:

   resource "yandex_airflow_cluster" "<cluster_name>" {
     ...
     airflow_version = "<Apache_Airflow™_version>"
     python_version  = "<Python_version>"
   }
   

3. Validate your configuration.

   1. In the command line, navigate to the directory that contains the current Terraform configuration files defining the infrastructure.

   2. Run this command:

      terraform validate
      

      Terraform will show any errors found in your configuration files.

4. Confirm updating the resources.

   1. Run this command to view the planned changes:

      terraform plan
      

      If you described the configuration correctly, the terminal will display a list of the resources to update and their parameters. This is a verification step that does not apply changes to your resources.

   2. If everything looks correct, apply the changes:

      1. Run this command:

         terraform apply
         

      2. Confirm updating the resources.

      3. Wait for the operation to complete.

For more information, see this Terraform provider guide.

To upgrade your Apache Airflow™ or Python version:

1. Get an IAM token for API authentication and put it into an environment variable:

   export IAM_TOKEN="<IAM_token>"
   

2. Call the Cluster.Update method and run the request, e.g., via cURL.

   Warning

   The API method will assign default values to all the parameters of the object you are modifying unless you explicitly provide them in your request. To avoid this, list the settings you want to change in the updateMask parameter as a single comma-separated string.

   • To upgrade your Apache Airflow™ version, run this request:

     curl \
         --request PATCH \
         --header "Authorization: Bearer $IAM_TOKEN" \
         --header "Content-Type: application/json" \
         --url 'https://airflow.api.cloud.yandex.net/managed-airflow/v1/clusters/<cluster_ID>' \
         --data '{
                   "updateMask": "airflowVersion",
                   "airflowVersion": "<Apache_Airflow™_version>"
                 }'
     

     Where:

     • updateMask: List of parameters to update. Specify only airflowVersion.

     • airflowVersion: Target Apache Airflow™ version.

     You can get the cluster ID with the list of clusters in the folder.

   • To upgrade your Python version, run this request:

     curl \
         --request PATCH \
         --header "Authorization: Bearer $IAM_TOKEN" \
         --header "Content-Type: application/json" \
         --url 'https://airflow.api.cloud.yandex.net/managed-airflow/v1/clusters/<cluster_ID>' \
         --data '{
                   "updateMask": "pythonVersion",
                   "pythonVersion": "<Python_version>"
                 }'
     

     Where:

     • updateMask: List of parameters to update. Specify only pythonVersion.

     • pythonVersion: Target Python version.

     You can get the cluster ID with the list of clusters in the folder.

3. View the server response to make sure your request was successful.

To upgrade your Apache Airflow™ or Python version:

1. Get an IAM token for API authentication and put it into an environment variable:

   export IAM_TOKEN="<IAM_token>"
   

2. Clone the cloudapi repository:

   cd ~/ && git clone --depth=1 https://github.com/yandex-cloud/cloudapi
   

   Below, we assume that the repository contents reside in the ~/cloudapi/ directory.

3. Call the ClusterService/Update method, e.g., via the following gRPCurl request:

   Warning

   The API method will assign default values to all the parameters of the object you are modifying unless you explicitly provide them in your request. To avoid this, list the settings you want to change in the update_mask parameter as an array of paths[] strings.

   Format for listing settings

   "update_mask": {
       "paths": [
           "<setting_1>",
           "<setting_2>",
           ...
           "<setting_N>"
       ]
   }
   

   • To upgrade your Apache Airflow™ version, run this request:

     grpcurl \
         -format json \
         -import-path ~/cloudapi/ \
         -import-path ~/cloudapi/third_party/googleapis/ \
         -proto ~/cloudapi/yandex/cloud/airflow/v1/cluster_service.proto \
         -rpc-header "Authorization: Bearer $IAM_TOKEN" \
         -d '{
               "cluster_id": "<cluster_ID>",
               "update_mask": {
                 "paths": [
                   "airflow_version"
                 ]
               },
               "airflow_version": "<Apache_Airflow™_version>"
             }' \
         airflow.api.cloud.yandex.net:443 \
         yandex.cloud.airflow.v1.ClusterService.Update
     

     Where:

     • update_mask: List of parameters to update. Specify only airflow_version.

     • airflow_version: Target Apache Airflow™ version.

     You can get the cluster ID with the list of clusters in the folder.

   • To upgrade your Python version, run this request:

     grpcurl \
         -format json \
         -import-path ~/cloudapi/ \
         -import-path ~/cloudapi/third_party/googleapis/ \
         -proto ~/cloudapi/yandex/cloud/airflow/v1/cluster_service.proto \
         -rpc-header "Authorization: Bearer $IAM_TOKEN" \
         -d '{
               "cluster_id": "<cluster_ID>",
               "update_mask": {
                 "paths": [
                   "python_version"
                 ]
               },
               "python_version": "<Python_version>"
             }' \
         airflow.api.cloud.yandex.net:443 \
         yandex.cloud.airflow.v1.ClusterService.Update
     

     Where:

     • update_mask: List of parameters to update. Specify only python_version.

     • python_version: Target Python version.

     You can get the cluster ID with the list of clusters in the folder.

4. Check the server response to make sure your request was successful.

1. Open the current Terraform configuration file describing your infrastructure.

2. In the cluster description, set the airflow_version field value to 2.11.

   resource "yandex_airflow_cluster" "<cluster_name>" {
     ...
     airflow_version = "2.11"
     ...
   }
   

3. Apply the changes:

   terraform apply
   

4. Set the python_version field value to 3.12:

   resource "yandex_airflow_cluster" "<cluster_name>" {
     ...
     python_version = "3.12"
     ...
   }
   

5. Apply the changes once again:

   terraform apply