How to Reconfigure Caching Database Clusters

Validated on 29 Apr 2024 • Last edited on 18 Dec 2024

Redis is an open source, key-value database built with an in-memory design that emphasizes speed. It has support for rich data types, atomic operations, and Lua scripting.

You can update your database engine’s parameters with the API, such as redis_maxmemory_policy and redis_pubsub_client_output_buffer_limit. For a full list of the parameters you can edit, see our API reference. Under the REQUEST BODY SCHEMA section, click config, and then click the redis option.

To ensure database stability, you can only edit the parameters listed in our API reference. To change other Caching parameters, contact support.

Update a Database’s Configuration Using the CLI

How to Update a Database's Configuration Using the DigitalOcean CLI

  1. Install doctl, the DigitalOcean command-line tool.

  2. Create a personal access token and save it for use with doctl.

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

              doctl auth init

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

                doctl databases configuration update <db-id> [flags]

Update a Database’s Configuration Using the API

How to Update a Database's Configuration Using the DigitalOcean API

  1. Create a personal access token and save it for use with the API.

  2. Send a PATCH request to https://api.digitalocean.com/v2/databases/{database_cluster_uuid}/config

    cURL

    Using cURL:

                    curl -X PATCH \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $DIGITALOCEAN_TOKEN" \
  -d '{"config": {"sql_mode": "ANSI,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION,NO_ZERO_DATE,NO_ZERO_IN_DATE,STRICT_ALL_TABLES","sql_require_primary_key": true}}' \
  "https://api.digitalocean.com/v2/databases/9cc10173-e9ea-4176-9dbc-a4cee4c4ff30/config"

    Python

                    import os
from pydo import Client

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

resp = client.databases.patch_config(database_cluster_uuid="a7aba9d")
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