Overview The Skinny

Part of the power of Tungsten Clustering for MySQL / MariaDB is the ability to perform true zero-downtime maintenance, allowing client applications full access to the database layer, while taking out individual nodes for maintenance and upgrades. In this blog post we cover various types of maintenance scenarios, the best practices associated with each type of action, and the key steps to ensure the highest availability.

Important Questions Understand the Environment as a Whole First

There are a number of questions to ask when planning cluster maintenance that are critical to understand before starting.

For example:

1. What is the cluster topology?
   • Standalone (connectors write to single cluster master)
     Single cluster: …

The Question Recently, a customer asked us:

How would we manually move the relay role from a failing node to a slave in a Composite Tungsten Cluster passive site?

The Answer The Long and the Short of It

There are two ways to handle this procedure manually when the usual switch command fails to work as expected. One is short and reasonably automated, and the other is much more detailed and manual.

Of course, the usual procedure is to just issue the switch command in the passive cluster:

use west
set policy maintenance
switch
set policy automatic

The below article describes what to do when the switch command does not move the relay role to another node.

SHORT

Below is the list of cctrl commands that would be run for the basic, short version, which (aside from handling policy changes) is really only three …

Just about a month ago, Pavel Ivanov released Ripple under the Apache-2.0 license. Ripple is a MySQL binlog server: software which receives binary logs from MySQL or MariaDB servers and delivers them to another MySQL or MariaDB server. Practically ,this is an intermediary master which does not store any data, except the binary logs themselves, and does not apply events. This solution allows saving of a lot of resources on the server, which acts only as a middle-man between the master and its actual slave(s).

The intermediary server, keeping binary logs only and not doing any other job, is a prevalent use case which allows us to remove IO (binlog read) and network (binlog retrieval via network) load from the actual …

A video session on "Intro to MySQL master slave Replication". Hope you enjoy it :)

In this blog post, we’ll discuss some of the basics regarding Docker MySQL replication. Docker has gained widespread popularity in recent years as a lightweight alternative to virtualization. It is ideal for building virtual development and testing environments. The solution is flexible and seamlessly integrates with popular CI tools.

This post walks through the setup of MySQL replication with Docker using Percona Server 5.6 images. To keep things simple we’ll configure a pair of instances and override only the most important variables for replication. You can add whatever other variables you want to override in the configuration files for each instance.

Note: the configuration described here is suitable for development or testing. We’ve also used the …

Previous episodes:

• MySQL replication monitoring 101

MySQL replication in action - Part 1: GTID & CoMySQL replication in action - Part 2 - Fan-in topology


In the previous article, we saw the basics of establishing replication from multiple origins to the same destination. By extending that concept, we can deploy more complex topologies, such as the point-to-point (P2P) all-masters topology, a robust and fast …

At Yahoo, we manage a massive number of MySQL databases spread across multiple data centers. 

In order to identify and respond to performance issues, we rely on an extremely lightweight and robust web based tool to proactively investigate the issues in them.

The tool has real time tracking features and continually gathers the most important performance metrics, provides visualization and statistical analysis for quickly identifying performance patterns, bottlenecks and possible tuning opportunities.

Features

Lightweight Agentless Java Web Application
Rich User Interface
Gather and Store performance metrics 
Detect anomalies and send alerts
Access to Real time Performance data

Open Source

Today, we’re releasing MySQL Performance Analyzer. You can check out the code on …

In the last 10 years I have worked a lot with replication systems, and I have developed a keen interest in the topic of multiple masters in a single cluster. My interest has a two distinct origins:

• On one hand, I have interacted countless times with users who want to use a replication system as a drop-in replacement for a single server. In many cases, especially when users are dealing with applications that are not much flexible or modular, this means that the replication system must have several points of data entry, and such points must work independently and in symbiosis with the rest of the nodes.
• On the other hand, I am a technology lover (look it up in the dictionary: it is spelled geek), and as such I get my curiosity stirred whenever I discover a new possibility of implementing multi-master systems.

The double nature of this professional curiosity makes me sometimes forget that the …

Multi master topologies blues

Tungsten Replicator is a powerful replication engine that, in addition to providing the same features as MySQL Replication, can also create several topologies, such as

• all-masters: every master in the deployment is a master, and all nodes are connected point-to-point, so that there is no single point of failure (SPOF).
• fan-in: Several masters can replicate into a single slave;
• star: It’s an all-masters topology, where one node acts as hub which simplifies the deployment at the price of creating a SPOF.

The real weakness of these topologies is that they don’t come together easily. Installation requires several commands, and running them unassisted is a daunting task. Some time ago, we introduced a set of scripts (the Tungsten Cookbook) that allow you to install multi-master topologies with a …

Working with replication, you come across many topologies, some of them sound and established, some of them less so, and some of them still in the realm of the hopeless wishes. I have been working with replication for almost 10 years now, and my wish list grew quite big during this time. In the last 12 months, though, while working at Continuent, some of the topologies that I wanted to work with have moved from the cloud of wishful thinking to the firm land of things that happen. My quest for star replication starts with the most common topology. One master, many slaves.

It looks like a star, with the rays extending from the master to the slaves. This is the basis of most of the replication going on mostly everywhere nowadays, and it has few surprises. Setting aside the …