Well, we are almost there.

Percona Live 2021 is just around the corner and this year comes with a very “dense” agenda.  

From my side I am giving a speech that is a high-level comparison between PXC and PS with group replication as highly available solutions.

It is a bit new for me to be at such high level, given I prefer to dig into technical, but I also think it was worth to stop and have the chance better understand what gives us what.

Anyhow this blog is not about that.

Given, as said, this year we will have a very “dense” schedule, I initially look at it and get scared.

“Too much stuff!”, that was my initial thought. Then I take a breath, reserve a couple of hours of my personal time, and start to dig-in.

In general, I have to say that thanks to the fact we are having an online event with registered speech it would be easier to attend multiple tracks also …

Just last week we had a Galera Cluster for MySQL streaming replication feature deep dive webinar, by the person that implemented it – Seppo Jaakola. In fact, if you haven’t already read the entire story, we encourage you to read: Galera Streaming Replication: Too Big A Bite Can Choke Your Cluster. We also have the 60 minute video recording for reference.

A huge number of Galera Cluster users have always complained about having issues with large transactions (where writes hang but reads are OK), and we are certain that the correct usage of streaming replication is what will ease that burden. What constitutes a large transaction? Typically when you make big number of …

Introduction

In my previous two blogs on this topic I first introduced the concept of automatic thread configuration and the thread model we use in RonDB. After receiving some questions on the topic I dived a bit deeper into explaining the RonDB thread model and its thread pipeline and compared it to another similar concept called batch pipelines.

Since then I read up a bit more on the research in this area with a focus on implementations in other key-value stores. Some researchers argue that a model where one handles the request immediately is superior to a model using a thread pipeline.

RonDB Software …

Now that we’ve migrated to MySQL for our core database course, I’m building MySQL Workbench analysis problems. We start with a lecture trying to flush out a simple address, and then ask them to figure out how to link it to a customer table.

Designing it, I emphasized how it resolves the issue of a city occurring in multiple counties and states, like Fremont. Fremont occurs 17 times in the US and once in Haiti:

Naturally, I left two other design issues in the problem. I’m working through it for the first time with classes tomorrow. I hope it works well. Any comments?

The new MyDumper 0.10.5 version, which includes many new features and bug fixes, is now available.  You can download the code from here.

For this release, we focused on fixing some old issues and testing old pull requests to get higher quality code. On releases 0.10.1, 0.10.3, and 0.10.5, we released the packages compiled against MySQL 5.7 libraries, but from now on, we are also compiling against MySQL 8 libraries for testing purposes, not releasing, as we think that more people in the community will start compiling against the latest version, and we should be prepared.

New Features:

• Password obfuscation #312
• Using …

The easiest way to deploy Joomla! on Oracle Cloud Infrastructure and MySQL Database Service, is to use OCI Resource Manager’s stack.

Let’s see how easy it’s to deploy such solution.

If you don’t have already an OCI account, you can get Free Tier at https://oracle.com/mysql

The easiest way to deploy all the required resources (vcn, subnets, gateways, compute and MySQL instances, security lists, …) is to use a stack for Resource Manager. It consists in Terraform modules and information to easily deploy the architecture on OCI.

To deploy Joomla! and a MDS instance, we go then on this GitHub repo and click on button to deploy on OCI:

The Oracle Cloud Dashboard will be open and the stack creation form will be loaded like …

The BBC delivers resilience of broadcasting services across TV, radio, and digital platforms using MySQL InnoDB Cluster. Kim Cassells, Senior Database Systems Engineer, BBC said, “MySQL InnoDB Cluster provides us with the high availability, fault tolerance, and scalability that are critical for deli...

Introduction

Sysbench is a tool to benchmark to test open source databases. We have integrated Sysbench into the RonDB installation. This makes it extremely easy to run benchmarks with RonDB. This paper will describe the use of these benchmarks in RonDB. These benchmarks were executed with 1 cluster connection per MySQL Server. This limited the scalability per MySQL Server to about 12 VCPUs. Since we executed those benchmarks we have increased the number of cluster connections per MySQL Server to 4 providing scalability to at least 32 VCPUs per MySQL Server.

As preparation to run those benchmarks we have created a RonDB cluster using the Hopsworks framework that is currently used to create …

You’ve been using Amazon Aurora to manage your data but recently found out that you could manage the same data on Oracle cloud for a ⅓ of the cost on Amazon. You also learned that you could run your MySQL queries on Oracle Cloud 1100x faster than on Amazon Aurora, including Analytics queries. Now di...

Disasters are waiting to happen. Like OVH data center fire on March 9, 2021. Do you have a solid MySQL Disaster Recovery (DR) plan in place to activate when the time inevitably comes?

If not, Continuent is happy to review your current MySQL HA/DR deployment and to recommend possible changes that might be recommended. Naturally, free of charge.

Tags: data center fireovh firemysql disaster recovery (dr)multi-site mysql