MySQL 1785

This error indicates that a non-transactional table was used in a global transaction identifier (GTID) statement. It is a warning that the statement may not be safe and could lead to data inconsistency.

How It Affects Your App

This error indicates that a non-transactional table is being used in a statement that requires a transactional table. This can cause data inconsistency and data loss, as the non-transactional table does not support the same level of data integrity as a transactional table. As a result, the application may not be able to guarantee the accuracy of the data stored in the database, leading to incorrect results or data corruption. Additionally, the application may experience performance issues due to the lack of transactional support.

How To Fix

1. Check the error log for the MySQL 1785 error:
$ tail -f /var/log/mysql/error.log
2. Check the MySQL configuration file for any misconfigurations:
$ cat /etc/mysql/my.cnf
3. Check the MySQL process list to see if any queries are running for a long time:
$ mysqladmin -u root -p processlist
4. Check the MySQL status to see if there are any issues with the server:
$ mysqladmin -u root -p status
5. Check the MySQL variables to see if any of them are set incorrectly:
$ mysqladmin -u root -p variables
6. Check the MySQL user privileges to see if any of them are set incorrectly:
$ mysql -u root -p -e "SELECT * FROM mysql.user;"
7. Check the MySQL database tables to see if any of them are corrupted:
$ mysqlcheck -u root -p --all-databases
8. Check the MySQL query cache to see if any of the queries are taking too long to execute:
$ mysqladmin -u root -p flush-query-cache
9. Check the MySQL slow query log to see if any of the queries are taking too long to execute:
$ mysqladmin -u root -p slow-query-log
10. Once the issue is identified, take the necessary steps to fix it.11. Finally, use an automated database observability tool to monitor and fix the MySQL 1785 in question. Automated database observability tools can help identify and diagnose issues quickly, as well as provide insights into the performance of the database. They can also provide alerts when certain thresholds are exceeded, allowing for proactive monitoring and maintenance of the database.

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