Bulk Delete for Large Table in MySQL I have a Notification table contains about 100 million rows host in Amazon RDS with 1000 IOPS, and I want to delete those rows older than one month.

If I do DELETE FROM NOTIFICATION WHERE CreatedAt &lt; DATE_SUB(CURDATE(), INTERVAL 30 day);, all the IOPS will be taken, the process will take hours, and a lot of new entries cannot be inserted due to "Lock wait timeout exceeded; try restarting transaction".

I was trying to do the way describe in here:http://mysql.rjweb.org/doc.php/deletebig
However, I am using UUID instead of increment ID.

What is the correct and efficient way to delete those rows while not affect new data being insert/update?
Make a temp table, switch it in and out, and copy the last 30 days data into it.

#
# Make empty temp table
#
CREATE TABLE NOTIFICATION_NEW LIKE NOTIFICATION;
#
# Switch in new empty temp table
#
RENAME TABLE NOTIFICATION TO NOTIFICATION_OLD,NOTIFICATION_NEW TO NOTIFICATION;
#
# Retrieve last 30 days data 
#
INSERT INTO NOTIFICATION SELECT * FROM NOTIFICATION_OLD
WHERE CreatedAt &gt;= DATE_SUB(CURDATE(), INTERVAL 30 DAY);


In your off hours, drop the old table

DROP TABLE NOTIFICATION_OLD;


Here are the Advantages to doing DELETEs like this


NOTIFICATION is emptied fast by means switching in an empty table.
NOTIFICATION is immediately available for new INSERTs
The remaining 30 days are added back into NOTIFICATION while new INSERTs can take place.
Dropping the old version of NOTIFICATION does not interfere with new INSERTs
NOTE : I have recommended doing bait-and-switch for table DELETEs before : (See my July 19, 2012 post : Optimizing DELETE Query on MySQL MEMORY Table)


Give it a Try !!!