![]() ![]() This is because by doing so, you reduce the risk of spurious network glitches. Just like with every exporter, it is best if you put it the “closest” to the target you are getting the metrics from. If you want something pre-configured then consider using something like mysqld_exporter. It is recommended to use sql_exporter because internally it decouples the actual queries that you want to monitor versus the database instances, and let’s you do those things asynchronously so you can control the load on your MySQL servers.Īlso, note that sql_exporter gives you the most power because you write any kind of queries yourself. For example, it’s typically problematic if a lot of threads are in the “cleaning up” state.īut, how to put all of that information into Prometheus? That’s where sql_exporter comes in. You could also look at the different states the processes are in. It has some interesting views that let you summarize data by some vertical e.g. The sys database is another good source of information. Feel free to look into and leverage it but in this guide we will skip those parts of the performance schema. However, those are usually very detailed and are not suitable for generic monitoring. Other tables inside of that schema let you monitor what MySQL is doing at a very low level. In very old versions of MySQL it used to be a part of the “information schema” but then those counters were moved. However, it’s a newer feature that might not be present in old versions. You can find those counters and SELECT them inside of that schema. ![]() Those performance counters are actually a part of a bigger overall subsystem that is called “performance schema”. These two roughly correlate to the duration and throughput metrics we are interested in. There are some useful global-scoped counters that you should look into. One good source of information is the “Server Status Variables” page. Now, let’s look at what monitoring data MySQL offers us and how it relates to our previous points. Numbers such as how many queries have timed out because they took too long Most of the time absolute numbers are used and they are usually counted as queries or transactions per second With that being said, we will move on to the second point - monitoring MySQL itself.Īt the high level, we are typically interested in: You should get on to the free trial and check it out! MetricFire is a monitoring platform built by hosting open-source technology such as Prometheus, Graphite, and Grafana. If you want to visualize your metrics immediately, the best way is to use Hosted Prometheus by MetricFire. MySQL has the EXPLAIN statement for that and other related tools. For that, you need to profile those queries. What is worth mentioning is that monitoring will not cover all of the cases when debugging performance or other problems because the issues a lot of the time are with the queries themselves. Look through the documentation of different metrics collectors in node_exporter, and see this graphic that shows you the relationship between different Linux subsystems. If that is not enough then we recommend you to look through this presentation that shows you the common pitfalls. It walks you through not just how to use node_exporter but also how to visualize all of the necessary metrics. The first one is already covered by our article about OS specific metrics. Monitoring MySQL performance counters - numbers and statistics that MySQL exposes via SQL statements on how well MySQL is doing.Getting OS-level metrics via node_exporter.Monitoring MySQL is a generally twofold process: So, you can use this as a general inspiration for databases monitoring. Also, the concepts presented here apply generally to many databases but the specific snippets or queries will be different. Obviously, it would be not just impossible, but irrational, to rewrite specific aspects of the MySQL manual or the plethora of other good tutorials available online so we will tell you how to get started in the quickest way possible and then present a lot of links to where you can find more information. But how to monitor MySQL? This article will give an introduction to this topic. A popular one among them is MySQL on which this article will focus. Databases in one form or another are almost an inseparable part of modern applications. ![]()
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