We are proud to announce the latest release of ProxySQL version 2.2.0

ProxySQL is a high performance, high availability, protocol aware proxy for MySQL, with a GPL license! It can be downloaded from the ProxySQL Repository (instructions here) or for a Docker image check out the Official ProxySQL Docker Repository. ProxySQL is freely usable and accessible according to the GNU GPL v3.0 license.

Release Overview Highlights

ProxySQL v2.2.0 is a minor release comprising of backward compatible changes, enhancements and bug fixes. Going forward ProxySQL will be using the common versioning standard “Major.Minor.Patch” and so this is essentially the first minor release of the 2.1 branch and inclues many fixes and features that were added to the 2.0 branches …

In this blog, we will discuss about how to scale out MySQL NDB Cluster in few easy steps. The use cases could be, when user business applications demand massive expansion and the existing cluster may not able to handle the request in that case a cluster scaling is needed. This is an online procedure i.e. zero cluster downtime so that user’s business won’t affect while this scaling process is going on.

In the below demo, we will see, how to scale from a 4 nodes cluster to 8 nodes cluster while transactions are going on.

Let’s create a MySQL NDB Cluster with the following environment.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management node
• 4 Data nodes
• 1 MySQLDs
• Configuration slots for up to 4 additional API nodes

Step 1: Let's start the Cluster

Let’s start a 4 nodes cluster.
…

Time zone handling can sometimes generate confusion, especially when dealing with data migrations to different host running on a different time zone, or when switching to a Daylight Saving Time (DST) time zone or when leap seconds are introduced. Will the stored date still make sense after changing a system-wide configuration? What happens when you migrate a server to another host? What is actually stored in the database?

There’s plenty of literature around about MySQL and time zone management, but there’s also missing information, because new features and fixes are constantly introduced into MySQL Server in this area. So I thought that spending a few words here to summarize how to best deal with time zones, and keeping this information up to date to reflect the current implementation …

The combination of the information obtained from the “pt-summaries” discussed in the previous posts of this series (Part 1: The Percona Support Way, Part 2: Knowing the Server, Part 3: What MySQL?) helps us come up with the first impression of a MySQL server. However, apart from the quick glance we get at two samples of a selective group of MySQL status variables, they provide what I call a “static” view of the server, akin to looking at a still picture of an engine. We get the chance to spot some major discrepancies in the MySQL configuration in view of the available resources in the …

Although the main interface between applications and a Vitess database is through the MySQL protocol, Vitess is a large and complex distributed system, and all the communication between the different services in a Vitess cluster is performed through GRPC. Because of this, all service boundaries and messages between Vitess' systems are specified using Protocol Buffers. The history of Vitess' integration with Protocol Buffers is rather involved: We have been using and keeping up to date with the Go Protocol Buffers package since its earliest releases, up until May last year, when Google released a new Go API for Protocol Buffers, which is not backwards compatible with the previous Go package.

In the previous post of this series, we looked at the hardware specifications and operating system settings of the host server through the lenses of a pt-summary report. Now that we know the foundation on which the database is running, we can turn our focus to MySQL itself. The second of our triad of tools from the Percona Toolkit will help us with that:

pt-mysql-summary conveniently summarizes the status and configuration of a MySQL database server so that you can learn about it at a glance. 

The goal for this part is to find what MySQL distribution and version is being used if the server …

Percona live is over, and we finally get some feedback about our presentations.

Initially I had 3 presentations to give:

• Comparing High Available Solutions With Percona XtraDB Cluster and Percona Server With Group Replication.
• Comparing Hash Join solution, the good, the bad and the worse. The New version 2021.
• Boosting MySQL NDB cluster & MySQL Innodb Cluster with PrxySQL V2

But when I saw we were having a lot of great submissions, I decided that it would be better for the conference and for Percona to drop 2 of them and leave some free slots for others.

That has always been my line of conduct, I do not think we should have speakers with multiple talks unless exceptions.  I know in the past I had been presenting multiple times, but that is why I am stating this now, more and more.

Anyhow, the remaining talk was Comparing High Available Solutions With …

After Oracle released MySQL version 8.0.24 on April 20, 2021, our engineering team got started right away with merging our enhancements to prepare the corresponding 8.0.24 version of Percona Server for MySQL.

However, Oracle released MySQL version 8.0.25 shortly afterward on May 11, 2021, to fix a critical bug that we also observed during our initial testing and reported back to them.

Therefore, we have decided to skip releasing Percona Server for MySQL 8.0.24 both as a standalone product and a distribution as well as the …

Recently, I wrote several articles about how to deploy popular Open Source applications on Oracle Cloud Infrastructure and MySQL Database Service.

Today we will see how you can deploy your own LAMP stack application using the same technique where L will stand for a compute instance (and why not the Ampere always free trier?), A stays Apache and will run in that compute instance. M stands for MySQL Database Service and P for PHP.

As usual we start by deploying a Stack by just clicking on the deploy button from GitHub:

The we are directly redirected to OCI’s dashboard and we need to accept the Terms of Use:

As soon …

Matomo is a Google Analytics alternative for your websites. If you follow my blog, you know how easy it’s to deploy popular Open Source web solutions like WordPress, Joomla!, Drupal, Moodle, Magento on OCI. If this is not yet your case, please check this page: deploy on OCI.

All these solutions are using MySQL Database Service to store their data.

I’ve recently added a new stack to also deploy Matomo. Of course this can be a standalone installation to collect all your analytics from self-hosted websites, but today I will describe you how to use it with an existing stack we already deployed on OCI.

For this example, I deployed WordPress using the following stack: …