Resolving “Checking for corrupt, not cleanly…” Error Message in MySQL database

One of the major reasons for corruption of MySQL database tables is improper or unexpected shutdown of MySQL Server. An improper shutdown can occur due to power outage or human errors. In most of these situations, you encounter an error message that makes the data stored in your MySQL tables inaccessible. To access the data stored in the tables, a perfect and easy way is to restore the data from an updated backup. But if in case, the data backup itself gets corrupted or is unable to restore the required data, then you will need to use advanced MySQL Repair application that can repair the corrupted database and recover inaccessible tables.

Consider a practical example, where you encounter the below error message when you attempt to mount your MySQL database after improper server shutdown:

Checking for corrupt, not cleanly closed and upgrade needing tables.

The above error message appears each time you attempt to access the records saved in the MySQL database tables. Furthermore, the error message makes the data stored in the tables inaccessible.

The root cause for the occurrence of the above error message is corruption of MySQL database due to improper system shutdown.

To resolve the above error and access the records, you will need to follow the below measures:
Check for the extent of table corruption using the below command:


After checking the extent of corruption, run the below command to repair the tables:


The above resolution works in most situations and makes the records accessible. But, if in case the resolution fails to resolve the issue and you encounter the above error message again, then you will need to use advance MySQL Recovery software. These MySQL Repair tools use effective algorithms to orderly repair the corrupted tables. Built with highly interactive user-interface, the tool is easily understood by both technical and non-technical users. These non-destructive database repair utilities perform safe repair of database by not modifying the original database.

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