WaaS networks are database intensive websites, and this is something many WaaS networks go through as they begin to grow in size and traffic.
Sometimes this is because the server simply isn’t big enough for the network anymore, and sometimes it can be solved by increasing the MySQL’s RAM allocation.
This article will walk you through how to confirm is database table locking is the source of your problem, and then the steps you can take to resolve the issue.
Part 1. Confirm the Problem
First, we need to ensure that the problem is indeed table locking.
SSH into your server
To check, you’ll need to SSH into your server. Please see the following articles to get started:
Generate your SSH Key:
Add your SSH Key to GridPane:
Connect to your server:
To check if you have locked database tables, run the following command:
gp mysql login root
You are now logged into MySQL. Check your active processes with:
If you see “Waiting for table metadata lock”, you’re experiencing table locking.
You can exit MySQL with:
Part 2. How to Fix it
If you need to get this sorted immediately, you can kill these queries by restarting MySQL. You can do this on your server with:
service mysql restart
And you can also restart MySQL to kill these queries inside of Monit.
Also, for reference, you can stop and start MySQL with:
service mysql stop service mysql start
Part 3. Reasons For Table Locking & Improving Performance Moving Forward
If you’re experiencing these issues around the start of every hour, this is likely related to your backup system, Borg, running and locking your tables while it takes the backups. If you have a large website that takes a long time to backup, this could frequently impact your performance for extended periods of time.
You may wish to adjust your backup schedule. You can also learn how to do this here:
GridPane Local and Remote Backups
If it’s not simply a backup related issue, then you can try optimizing your database, and converting any MyISAM tables to InnoDB for better performance.
You can learn how to convert your database tables here:
You can learn how to optimize your database tables here:
You may also want to check out the following two database optimization plugins – both of which are great in our experience. Just be sure to take a backup before making changes to any of your databases.
Increase RAM Allocation
You can also try allocating additional RAM to MySQL – for large WaaS networks, it’s usually a good idea to be able to have your entire database stored in RAM. The better optimized your database, the less RAM you’ll need for this.
Please keep in mind that the more memory you allocate to MySQL, the less will be available for your servers other processes, and this may create a whole new load of problems. We don’t recommend allocating more than 50% of your RAM to MySQL.
To begin, run the following command
A typical file looks like this:
Check process mysql with pidfile /var/run/mysqld/mysqld.pid group database group mysql start program = "/usr/sbin/service mysql start" stop program = "/usr/sbin/service mysql stop" if cpu > 60% for 2 cycles then alert if cpu > 70% for 3 cycles then exec "/usr/local/bin/gpslack MYSQL_HOT warning" if cpu > 90% for 5 cycles then restart if mem > 550 MB for 3 cycles then restart if failed host localhost port 3306 protocol mysql with timeout 15 seconds for 3 times within 4 cycles then restart if failed unixsocket /var/run/mysqld/mysqld.sock protocol mysql for 3 times within 4 cycles then restart if 3 restarts within 5 cycles then exec "/usr/local/bin/gpslack MYSQL error"
To adjust MySQL’s memory limit adjust this line, for example:
if mem > 750 MB for 3 cycles then restart
We recommend small increases up to the 50% of total memory mark, and if you’re still experiencing issues after that, you need to look at your database performance or increase your server size.
Once you’ve adjust the above line, hit Control+O, then enter to save the file. Then Control+X to exit nano.
Next you need to reload Monit:
Test and repeat, then continue below if necessary.
We have several articles on troubleshooting database performance that you may find valuable. Below are links to each of them.