If you are a MySQL DBA or a developer that deals with MySQL daily, you have probably noticed some anti-patterns of MySQL engines. This blog will walk you through some of the anti-patterns related to MySQL storage engines and tell you how dbWatch will be able to overcome the issues they pose to your database instances.
What are the Anti-Patterns of MySQL Storage Engines?
Before actually telling you how to solve anti-patterns related to MySQL storage engines, we should probably tell you what they are in the first place. The anti-patterns related to MySQL storage engines might include the following:
- You might use the MySQL storage engines without monitoring if they are the right fit for your MySQL environment.
- You might use the MySQL storage engines without knowing all (or at least the majority of) their advantages and disadvantages.
- You might use the storage engines provided by MySQL without properly optimizing them.
All of those anti-patterns mentioned above might be detrimental to your MySQL instances if those issues are not solved – read on, and you will find out how can dbWatch assist you in solving these kinds of problems.
How can dbWatch Help Me Solve Those Problems?
When you‘re correctly using dbWatch, you might notice these problems slowly disappearing. That might be the case because dbWatch has jobs tailored explicitly for MySQL database instances. These jobs are split across three different categories – Availability, Capacity, and Performance. Here‘s how everything works in dbWatch:
- Availability jobs help you monitor your database availability which might be one of the key metrics for your database monitoring. When you know that your databases are always available and working, you can free your mind to focus on other things relevant to your business.
- Capacity jobs help you monitor your database space (in other words, the capacity of your database instances). By tracking the capacity of your database instances, you can easily determine whether you need more disk space, new disk drives, or additional infrastructure in scaling your business systems.
- Performance jobs help you monitor the database performance. Performance is one of the key metrics when dealing with any database instance., So, it‘s crucial to keep an eye on these jobs at all times too.
Now we will look into these kinds of issues further.
To know whether the MySQL storage engines you use are a right fit for your MySQL environment, you should make use of the dbWatch jobs under the Performance section.
The Performance section of jobs in dbWatch consists of multiple positions aimed at databases (not only those running MySQL) that can help you monitor the performance of your database instance(s). You can watch your database’s load, lock statistics, and network traffic. Additionally, it tracks query cache hit rate which means that all of your queries use the query cache effectively. As far as MySQL is concerned, you should check all of your queries use the query cache effectively. As far as MySQL is concerned, you can also check the status of your InnoDB engines by monitoring the buffer pool.
Here you have two jobs – one helps you monitor the uptime of your database instances and the other alerts you once you start getting close or exceeding a specified maximum connections variable. Exceeding the amount of specified maximum amount of connections can prove to be detrimental to MySQL as a whole, so be sure to keep an eye out on this job at all times.
To use your MySQL storage engines while also knowing they are correctly optimized, keep an eye out on the Capacity jobs as well – dbWatch has two jobs dedicated primarily for this purpose: the aggregated database growth rate and the detailed database growth rate. These two jobs can help you visualize the growth rate of your databases. Sometimes just monitoring and optimizing your InnoDB or MyISAM engine performance just does not cut it. So, imagining the growth rate of your databases can prove to be one of the most crucial things you can do to avoid MySQL engine anti-patterns. Here’s how your database growth rate might look like. To see this, right-click the database growth rate (detailed) job, then click Show Details.):
In this chart, you will see the detailed growth rate of your largest database on the server. The colored dots underneath it represent the databases you have.
This job can assist you in making sure you are using MySQL storage engines to their full potential and properly optimized.
MySQL storage engines have a bunch of “anti-patterns” associated with them. The key of those is avoiding monitoring the performance of your storage engines using them without being fully aware of their advantages and disadvantages and properly optimizing them. The jobs section of dbWatch can help you get rid of all of those issues Use the jobs available in dbWatch wisely, and you should be well on your way to getting rid of all of the “anti-patterns” associated with MySQL storage engines.
If you are still curious about how dbWatch can help you or your business, feel free to browse through the ControlCenter wiki, or if you are still unsure how dbWatch might help you, get in touch with the team, and they will respond promptly.
About the Author:
Lukas Vileikis is an ethical hacker and a frequent conference speaker.
Since 2014, Lukas has found and responsibly disclosed security flaws in some of the most visited websites in Lithuania.
He runs one of the biggest & fastest data breach search engines in the world - BreachDirectory.com, frequently speaks at conferences and blogs in multiple places including his blog over at lukasvileikis.com.