How to fix MySQL high CPU usage
Majority of the web applications are database driven. MySQL is a popular database server for open source applications, but we’ve seen that it can cause performance issues in the long run.
MySQL databases grow in size, and tables fragment over time. This contributes to MySQL load spikes. So, protecting a server from MySQL high CPU issues requires close monitoring and periodic optimization.
Here at Bobcares, our Dedicated Support Engineers maintain thousands of web and MySQL servers of our customers all over the world.
We function as the tech team of these companies, and keep their servers stable through proactive maintenance and 24/7 monitoring.
Here are the 3 key operations that we perform to keep MySQL servers stable:
1. Initial server optimization
When a customer signs up, our engineers audit the server performance and optimize the MySQL server settings to fix any pre-existing resource bottlenecks.
After analyzing the website type and traffic, we tweak the key settings in MySQL servers that helps to ensure optimal resource usage. This includes connection limits, buffer size and query cache size, and more.
2. 24/7 monitoring & emergency rescue
Comment spamming, brute forcing, bot attack or even a legitimate increase in traffic can cause high MySQL load. Which is why it is important to monitor server metrics 24/7.
Server admins from Bobcares monitor MySQL health 24/7. It helps us to detect a spike in the CPU usage or abusive program immediately and fix it before it crashes the entire server.
3. Follow-up audit & optimization
Databases grow over time, and the load on it changes when website traffic change. That is why follow-up audit and re-optimization is critical to maintain MySQL server stability.
A core job of our Dedicated Server Administrators is to audit customer servers regularly and find out performance bottlenecks before they happen, and fix it before any customers are affected.
Today, we’ll take a look at how our Server Admins react to a MySQL high CPU situation, and what we do to prevent its recurrence.
[ You don’t have to be a MySQL expert to keep your sites fast and stable. Let us help you. Our experts will keep your servers fast, secure and rock solid. ]
How to detect MySQL high CPU usage
Very often people link high server load to high CPU usage. That is not always true. Server load can go high due to bottlenecks in any resource. This can include memory, disk I/O, network or CPU.
The top reason for MySQL induced server load is due to memory or I/O exhaustion. If it is CPU bottleneck, the output of top would look like this:
top - 8:31:15 up 23 days, 3:33, 1 user, load average: 22.31, 19.72, 25.02 Tasks: 81 total, 5 running, 76 sleeping, 0 stopped, 0 zombie Cpu(s): 87.8%us, 0.3%sy, 0.0%ni, 11.2%id, 0.0%wa, 0.2%hi, 0.5%si, 0.0%st Mem: 2975920k total, 1018219k used, 1957701k free, 287408k buffers
If it is I/O induced bottleneck, the %wa (called wait average) will have the highest CPU%. In contrast, if it is a memory induced load, the “free” memory would be limited to just a few MBs.
Fixing MySQL high CPU
If the server load is indeed related to high CPU usage, we’ve found the following fixes to be useful:
- Enable InnoDB to handle high number of concurrent connections – Check MySQL “PROCESSLIST”, and if you see a lot of queries in “LOCK” status, it means a lot queries are put on hold because MyISAM tables are handling other transactions. To fix this convert those tables into InnoDB engine which supports row-level locking.
- Enable persistent connections – If you have only a single application that receives thousands of connections per hour, enabling persistent MySQL connections can improve performance. If the server has multiple applications (like a shared web hosting server) this may not work.
- Block abusive processes – When a website is under attack (like DoS, comment spamming, etc.), an abnormally high number of connections could be established in a short time. Use the “PROCESSLIST” in MySQL to identify the top users, and block access to the abusive connections.
- Optimize database queries – Some web applications are known to use complex queries to display site information. These queries can take a long time to execute, and cause CPU load. Get the list of such queries from the “slow query log” and reduce the number of joins and other table manipulations under a single query.
- Check for “leap second bug” – On July 1st 2015, a leap second was added to standard UTC time. In servers running old Linux kernel versions, and which uses time servers, this is seen to cause MySQL high load. If you have an old Linux kernel, try resetting the time using the command date -s “$(date)”.
[ Don’t lose your customers to a slow server. Let us help you. Our experts will monitor & maintain your servers 24/7 so that it remains lightning fast.]
How to prevent MySQL high CPU usage
Server traffic changes and databases grow over time. MySQL high CPU issues can be prevented to a large extent if the database server is audited and tuned for performance.
- MySQL performance tuning – MySQL uses various buffers and cache systems to execute queries. As the volume and complexity of database queries change, the server settings need to be adjusted for optimum performance. There are various tools such as mysqltuner to identify any settings that need adjustment.
- Security audit and hardening – Spamming and DoS attacks can easily overwhelm a database server. Implement web application firewalls such as ModSecurity, and DoS firewalls such as ModEvasive to prevent attackers from affecting server uptime.
- Implementing load balancing – As the server traffic grows it might be required to split the load into multiple servers. MySQL can be configured for master-master and master-slave replication which allows queries to be served from any server in a cluster.
- Optimizing database queries – If web applications are poorly coded, no amount of database optimization will fix the server load. Monitor MySQL’s “slow query log” and reduce the number of JOINs to make the database faster.
- Using high performance alternatives such as Percona – MySQL has many memory/CPU bottlenecks due to the way it process queries. MySQL spin-offs such as MariaDB and Percona resolves these issues, and helps achieve better stability.
How to get started
MySQL can be a bit thick to understand. It takes patience and a lot of experience to know what solution works where.
You can either jump head first into MySQL docs and become an expert (in about 2-3 years), or you can get your server fixed (and keep it fixed) by hiring an administrator.
And no, it doesn’t have to be costly. You can hire an admin for as low as $12.99/hour.
Or if you want one time quick assistance, click here to submit a support request.