There is a really nice article by Pep Pla, over at the Percona blog

about fragmentation in MySQL InnoDB tablespaces, which you should read.

The article discusses “fragmentation” of data in tables, which happens in a way similar to how it happens in filesystems.

InnoDB stores data by default in tablespaces, which by default are a file per table. These files are subject to the fragmentation and growth rules of your filesystem, but if you are smart, you are running MySQL on Linux on the XFS. In that case, filesystem fragmentation (and unexplained commit latency variance) are not an issue, because XFS takes care of handling this properly, and only database-internal fragmentation remains.

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Fragmentation is a common concern in some database systems. Highly fragmented tables can affect performance and resource allocation. But reducing fragmentation often involves rebuilding the table completely. This blog post will discuss fragmentation and its impact on InnoDB.

What is fragmentation?

We say that something is fragmented when it is formed by parts that are separate or placed in a different order than the natural one. In databases, we can experiment with different types of fragmentation:

• Segment Fragmentation: segments are fragmented; they are stored not following the order of data, or there are empty pages gaps between the data pages.
• Tablespace Fragmentation: the tablespace is stored in non-consecutive filesystem blocks.
• Table Fragmentation: data is stored not following the primary key order (heap tables), …

Upgrading to MySQL version 8.0 is a hot topic since version 5.7 is approaching the official end of life very soon. MySQL 5.7 EOL is set for the end of October 2023.

If you feel unprepared for the upgrade, consider post-EOL support from Percona. But it would be the worst if you proceeded with the upgrade in haste.

• Long database service downtime
• Some queries become slow
• Applications stop working due to incompatibilities
• Data loss

This is what can happen if MySQL’s major upgrade to 8.0 turns out not as you hoped for. Yes, it can be that serious, so do consider the major upgrade as an important project, not just a routine maintenance task! From my experience as a Support Engineer, I think the most frequent problem is query …

In the previous post, we saw how to quickly deploy Moodle to Oracle Cloud Infrastructure on Ampere compute instances and using MySQL HeatWave.

In this post, we will explore some other features and the benefits of running on OCI and MySQL HeatWave to extend our architecture dedicated to Moodle in the Cloud.

Read Replicas

Moodle natively offers the possibility of distributing the load between reads and writes. When using MySQL HeatWave Database Service, adding read replicas is also a very easy task. Let’s see how we can benefit from it.

To be able to use MySQL HeatWave Read Replicas, the MySQL shape must have at least 4 OCPUs.

Let’s modify the moodle stack and deploy it again but this time we choose a bigger shape for MySQL:

When everything is ready, …

In the previous post, we saw how to quickly deploy Moodle to Oracle Cloud Infrastructure on Ampere compute instances and using MySQL HeatWave. In this post, we will explore some other features and the benefits of running on OCI and MySQL HeatWave to extend our architecture dedicated to Moodle in the Cloud. Read Replicas Moodle […]

In this article, we see how to offload Moodle's read queries to MySQL HeatWave Read Replicas

If you want to deploy Moodle on OCI, you can use Ampere compute instances as application server and MySQL HeatWave Database Service to store the data.

Depending on your requirements, MySQL HeatWave can provide High Availability and Query Acceleration.

In this post, we will see the easiest and fasted way to deploy the following basic architecture:

In OCI to quickly deploy an architecture and all the required resources, it’s recommended to use a Stack (Terraform recipes and modules).

So deploy all the resources we need (VCN, Subnets, Security Lists, Internet Gateways, Compute Instances…) we just need to click on the following button:

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Moodle is an open-source learning management system (LMS) that provides a platform for educators and learners to create, manage, and participate in online courses and educational activities. Moodle is widely used in schools, universities, and other educational institutions to facilitate online learning, course management, and collaboration. Moodle and MySQL have always been a very powerful […]

In this article, you will learn how to easily and quickly deploy Moodle, the most popular open source learning management system, on OCI using an Ampere compute instance and MySQL HeatWave Database Service.

I know, we just released version 8.1, so isn’t it a bit early to think about version 10 now? But 5.7 has almost reached its end of life, and MySQL engineers are already working on 8.2 and 8.3. With this speed, we can expect to get to version 10 within a few years. And what […]