Many organizations have MySQL or MariaDB databases at the core of their business—for processing and storing product sales, collecting information related to services offered, or just providing essential information to customers. As a result, keeping these databases running continuously can be critical for the success of an organization.

There are many components of a database system that a database administrator will need to consider for maintaining high availability. We considered server equipment (e.g., memory) in a previous introductory article. Now let’s look at using multiple servers for your MySQL and MariaDB databases—let’s look at replication.

Replication Overview

One common and effective way to structure a highly available database system is through some form of database replication. There are a few …

Hello again everybody.

Well, I promised it a couple of weeks ago, and I’m sorry it has been so long (I’ve been working on other fun stuff in addition to this). But I’m pleased to say that we now have a fully working applier that takes data from an incoming THL stream, whether that is Oracle or MySQL, and converts that into a JSON document and message for distribution over a Kafka topic.

Currently, the configuration is organised with the following parameters:

• The topic name is set according to the incoming schema and table. You can optionally add a prefix. So, for example, if you have a table ‘invoices’ in the schema ‘sales’, your Kafka topic will be sales_invoices, or if you’ve added a prefix, ‘myprefix_schema_table’.
• Data is marshalled into a JSON document as part of the message, and the structure is to have a bunch of metadata and then an embedded record. You’ll see an …

Hello again everybody.

Well, I promised it a couple of weeks ago, and I’m sorry it has been so long (I’ve been working on other fun stuff in addition to this). But I’m pleased to say that we now have a fully working applier that takes data from an incoming THL stream, whether that is Oracle or MySQL, and converts that into a JSON document and message for distribution over a Kafka topic.

Currently, the configuration is organised with the following parameters:

• The topic name is set according to the incoming schema and table. You can optionally add a prefix. So, for example, if you have a table ‘invoices’ in the schema ‘sales’, your Kafka topic will be sales_invoices, or if you’ve added a prefix, ‘myprefix_schema_table’.
• Data is marshalled into a JSON document as part of the message, and the structure is to have a bunch of metadata and then an embedded record. You’ll see an …

A few weeks ago I started experimenting with MySQL InnoDB cluster. As part of the testing, I tried to kill a node to see what happens to the cluster.

The good news is that the cluster is resilient. When the primary node goes missing, the cluster replaces it immediately, and operations continue. This is one of the features of an High Availability system, but this feature alone does not define the usefulness or the robustness of the system. In one of my previous jobs, I worked at testing a commercial HA system and I've learned a few things about what makes a reliable system.

Armed with this knowledge, I did some more experiments with InnoDB Cluster. The attempt from my previous article had no other expectation than seeing operations continue with ease (primary node …

In this blog post, we’ll look at how ProxySQL and mirroring go together.

Overview

Let me be clear: I love ProxySQL, and I think it is a great component for expanding architecture flexibility and high availability. But not all that shines is gold! In this post, I want to correctly set some expectations, and avoid selling carbon for gold (carbon has it’s own uses, while gold has others).

First of all, we need to cover the basics of how ProxySQL manages traffic dispatch (I don’t want to call it mirroring, and I’ll explain further below).

ProxySQL receives a connection from the application, and through it we can have a simple SELECT or a more complex transaction. ProxySQL gets each query, passes them to the Query Processor, processes them, identifies if a query is mirrored, duplicates the whole MySQL session ProxySQL internal object and associates it to a mirror queue (which refer to a …

Kristian Nielsen is working on a new feature for MariaDB 10.3 and he published very interesting results.  This feature is MDEV-12179: Per-engine mysql.gtid_slave_pos tables.  He writes about replicating twice as fast in the worst case when using two storage engines (InnoDB and MariaRocks in his tests, but could also be InnoDB and TokuDB or TokuDB and MyRocks).  I will let you read all the details

In the first part of this series you learned how to setup an InnoDB cluster using Oracle Cloud. In this second part, you are going to learn how and when to use some of the advanced functions available in MySQL Shell.…

JKDB PLATFORM – our company’s data management platform

In this post, we introduce backup-restore module,focus on automatic backup and restore in a huge MySQL database environment.

Read this PDF: JKDB:BACKUP-RESTORE

InnoDB Cluster was released as GA a few weeks ago. I remember the initial announcement of the product at OOW 2016, promising a seamless solution for replication and high availability with great ease of use. I was a bit disappointed to see that, at GA release time, the InnoDB Cluster is a patchwork of three separate products (Group Replication, MySQL Router, MySQL Shell) which the users have to collect and install separately.

Given this situation, I was very pleased when Matthew Lord published Docker-InnoDB-Cluster, an image for Docker that contains everything you need to get the system up and running. The …

So glad to have had a successful Percona Live last week. Continuent were Diamond Sponsors and now that we are back into a company and not part of VMware we have a little more freedom to get back into the MySQL community.

I had two primary sessions, both on the replicator/ But one was looking specifically at the replicator and how we get data into Big Data targets, the other on general problems of replicating between heterogeneous sources. After the first of those, David from Percona interviewed me to understand a bit more about what I was talking about

I was also on the keynote panel where we discussed a variety of different …