MySQL 1553

This error occurs when attempting to drop an index that is related to a foreign key constraint. It is a MySQL 1553 error code.

How It Affects Your App

MySQL 1553 ER_DROP_INDEX_FK error occurs when an index is dropped from a foreign key constraint. This can have a significant impact on the application as it can cause data integrity issues. Foreign keys are used to ensure data consistency and accuracy, so dropping an index from a foreign key constraint can lead to data inconsistency and incorrect data being stored in the database. This can lead to incorrect results being returned from queries and can cause the application to malfunction.

How To Fix

1. Check the error log for the MySQL 1553 instance to identify the root cause of the issue.
mysql> SHOW GLOBAL VARIABLES LIKE 'log_error';
+---------------+-----------------------------------------+
| Variable_name | Value |
+---------------+-----------------------------------------+
| log_error | /var/lib/mysql/mysql-error.log |
+---------------+-----------------------------------------+
2. Check the error log for the MySQL 1553 instance to identify the root cause of the issue.
$ tail -f /var/lib/mysql/mysql-error.log

[ERROR] InnoDB: Unable to lock ./ibdata1, error: 11
[ERROR] InnoDB: Check that you do not already have another mysqld process
[ERROR] InnoDB: using the same InnoDB data or log files.
3. Restart the MySQL 1553 instance to fix the issue.
$ sudo service mysql restart
4. Verify that the issue has been fixed.
$ mysql -u root -p

mysql> SHOW GLOBAL STATUS LIKE 'Innodb_row_lock%';
+--------------------------+-------+
| Variable_name | Value |
+--------------------------+-------+
| Innodb_row_lock_current | 0 |
| Innodb_row_lock_time | 0 |
| Innodb_row_lock_time_avg | 0 |
| Innodb_row_lock_time_max | 0 |
| Innodb_row_lock_waits | 0 |
+--------------------------+-------+
5. Use an automated database observability tool to monitor and fix the MySQL 1553 in question. Automated database observability tools can help identify and diagnose issues quickly and accurately, as well as provide insights into the performance of the database. This can help prevent future issues and ensure that the database is running optimally.

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