PostgreSQL version upgrade

If you do not have the Yandex Cloud command line interface yet, install and initialize it.

The folder specified in the CLI profile is used by default. You can specify a different folder using the --folder-name or --folder-id parameter.

To upgrade a cluster to PostgreSQL 15 or lower:

1. Get a list of your PostgreSQL clusters using this command:

   yc managed-postgresql cluster list
   

2. Get information about the cluster you need and check the PostgreSQL version in the config.version parameter:

   yc managed-postgresql cluster get <cluster_name_or_ID>
   

3. Run the PostgreSQL upgrade:

   yc managed-postgresql cluster update <cluster_name_or_ID> \
      --postgresql-version <new_version_number>
   

1. Open the current Terraform configuration file with an infrastructure plan.

   For more information about creating this file, see Creating clusters.

For a complete list of available Managed Service for PostgreSQL cluster configuration fields, see the [Terraform provider documentation](https://terraform-provider.yandexcloud.net/Resources/mdb_postgresql_cluster).

1. In the cluster_config section of the required Managed Service for PostgreSQL cluster, add the version field or edit the existing one:

   resource "yandex_mdb_postgresql_cluster" "<cluster_name>" {
     ...
     cluster_config {
       version = "<PostgreSQL_version>"
     }
   }
   

2. Make sure the settings are correct.

   1. Using the command line, navigate to the folder that contains the up-to-date Terraform configuration files with an infrastructure plan.

   2. Run the command:

      terraform validate
      

      If there are errors in the configuration files, Terraform will point to them.

3. Confirm updating the resources.

   1. Run the command to view planned changes:

      terraform plan
      

      If the resource configuration descriptions are correct, the terminal will display a list of the resources to modify and their parameters. This is a test step. No resources are updated.

   2. If you are happy with the planned changes, apply them:

      1. Run the command:

         terraform apply
         

      2. Confirm the update of resources.

      3. Wait for the operation to complete.

   Time limits

   A Terraform provider sets the timeout for Managed Service for PostgreSQL cluster operations:

   • Creating a cluster, including restoring from a backup: 30 minutes.
   • Editing a cluster: 60 minutes.
   • Deleting a cluster: 15 minutes.

   Operations exceeding the set timeout are interrupted.

   How do I change these limits?

   Add the timeouts block to the cluster description, for example:

   resource "yandex_mdb_postgresql_cluster" "<cluster_name>" {
     ...
     timeouts {
       create = "1h30m" # 1 hour 30 minutes
       update = "2h"    # 2 hours
       delete = "30m"   # 30 minutes
     }
   }
   

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

   export IAM_TOKEN="<IAM_token>"
   

2. Use the Cluster.update method and make a 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.

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

   Where:

   • updateMask: List of parameters to update as a single string, separated by commas.

     In this case, only one parameter is provided.

   • configSpec.version: New PostgreSQL version.

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

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

1. Get an IAM token for API authentication and put it into the 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 the repository contents are stored in the ~/cloudapi/ directory.

3. Use the ClusterService/Update call and make a request, e.g., via gRPCurl:

   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>"
       ]
   }
   

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

   Where:

   • update_mask: List of parameters to update as an array of paths[] strings.

     In this case, only one parameter is provided.

   • config_spec.version: New PostgreSQL version.

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

4. View the server response to make sure the request was successful.