How to Resize Kafka Clusters

Use the token to grant doctl access to your DigitalOcean account.

                    doctl auth init
                

Finally, run doctl databases resize. Basic usage looks like this, but you can read the usage docs for more details:

                doctl databases resize <database-cluster-id> [flags]
            

The following example resizes a PostgreSQL or MySQL database to have two nodes, 16 vCPUs, 64 GB of memory, and 2048 GiB of storage space:

                    doctl databases resize ca9f591d-9999-5555-a0ef-1c02d1d1e352 --num-nodes 2 --size db-s-16vcpu-64gb --storage-size-mib 2048000 --wait true
                

Send a PUT request to https://api.digitalocean.com/v2/databases/{database_cluster_uuid}/resize

cURL

Using cURL:

                            curl -X PUT \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $DIGITALOCEAN_TOKEN" \
-d '{"size":"db-s-4vcpu-8gb", "num_nodes":3, "storage_size_mib":163840}' \
"https://api.digitalocean.com/v2/databases/9cc10173-e9ea-4176-9dbc-a4cee4c4ff30/resize" 
                        

Go

Using Godo, the official DigitalOcean V2 API client for Go:

                            import (
    "context"
    "github.com/digitalocean/godo"
)

func main() {
    pat := "mytoken"

    client := godo.NewFromToken(pat)
    ctx := context.TODO()

    resizeRequest := &godo.DatabaseResizeRequest{
        SizeSlug: "db-s-4vcpu-8gb",
        NumNodes: 3,
        StorageSizeMib: 163840,
    }
}
                        

Python

                            import os
from pydo import Client

client = Client(token=os.environ.get("DIGITALOCEAN_TOKEN"))

req = {
  "size": "db-s-4vcpu-8gb",
  "num_nodes": 3,
  "storage_size_mib": 163840
}

update_resp = client.databases.update_cluster_size(database_cluster_uuid="a7a8bas", body=req)