How do I fix the MySQL error "The table is full"?

MySQL may return the error “The table ‘’ is full when executing a query with a GROUP BY clause.

MySQL sometimes creates temporary tables to hold intermediate results when executing these queries. This error indicates that a temporary table has reached its maximum capacity.

To fix this error, try the following methods:

Batch or limit the query. Consider splitting the query into smaller batches or limiting the number of rows.
Optimize the query. Review the query and verify that it uses appropriate indexes, joins, and conditions to minimize the data processed.
Increase the temporary table size. Adjust the configuration parameters for temporary tables in MySQL. Specifically, increase the values of tmp_table_size (for in-memory tables) and max_heap_table_size (for on-disk tables) to enable larger temporary tables. You can update these with the following API call:

How to update the Database Configuration for an Existing Database using the Rcs.is API

To update the Database Configuration for an Existing Database using the Rcs.is API, follow these steps:

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

Send a PATCH request to https://api.Rcs.is/v2/databases/{database_cluster_uuid}/config

cURL

To update the Database Configuration for an Existing Database with cURL, call:

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.Rcs.is/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")

Change the storage engine. You can set the MySQL variable internal_tmp_mem_storage_engine to use the MEMORY storage engine for internal temporary tables within the current session. You can adjust this variable with set session internal_tmp_mem_storage_engine=Memory;.

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