Overview

Clustering provides high availability and disaster recovery, along with the ability to read-scale both locally and globally. Some clusters even provide active/active capabilities, which others have a single master.

Real time database replication is a must for clustering and other key business purposes, like reporting. There are a number of replication technologies available for MySQL, and some are even bundled into various solutions. When choosing a replication methodology, it is paramount to understand just how the data moves from source to target. In this blog post, we will examine how asynchronous, synchronous, and “semi-synchronous” replication behave when used for clustering. Also, we will explore how …

In Part I, we introduced a High Availability (HA) framework for MySQL hosting and discussed various components and their functionality. Now in Part II, we will discuss the details of MySQL semisynchronous replication and the related configuration settings that help us ensure redundancy and consistency of the data in our HA setup. Make sure to check back in for Part III where we will review various failure scenarios that could arise and the way the framework responds and recovers from these conditions.

What is MySQL Semisynchronous Replication?

Simply put, in a …

UPDATE: Some of the language in the original post was considered overly-critical of Oracle by some community members. This was not my intent, and I’ve modified the language to be less so. I’ve also changed term “synchronous” (which the use of is inaccurate and misleading) to “virtually synchronous.” This term is more accurate and already used by both technologies’ founders, and should be less misleading.

I also wanted to thank Jean-François Gagné for pointing out the incorrect sentence about multi-threaded slaves in Group Replication, which I also corrected accordingly.

In today’s blog post, I will briefly compare two major virtually synchronous replication technologies available today for MySQL.

More Than Asynchronous Replication

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In this blog, we’ll discuss how to use concurrency to help with WAN latency when using synchronous clusters.

WAN Latency Problem

Our customers often ask us for help or advice with WAN clustering problems. Historically, the usual solution for MySQL WAN deployments is having the primary site in one data center, and stand-by backup site in another data center (replicating from the primary asynchronously). These days, however, there is a huge desire to employ available synchronous replication solutions for MySQL. These solutions include things like Galera (i.e., Percona XtraDB Cluster) or the recently released MySQL Group Replication. This trend is attributable to the fact that these solutions are less problematic and provide more automatic fail over and fail back procedures. But it’s also because businesses want to write in both data centers simultaneously.

Unfortunately, WAN link reliability and latency makes …

As many of you already know, PLMCE is an annual MySQL
community conference and Expo organized by Percona in the month of April
(usually). It is a great conference, not only to meet new and eminent people in
MySQL and related database fields, but also to attend interesting talks, and
also to give some.

This year I spoke about synchronous replication at a higher level. The talk was
titled “ACIDic Clusters: Review of current relational databases with synchronous replication”. Having previously given talks with boring titles (but interesting content), this time I decided to go with an interesting title, and it seemed to fit well with topic being discussed.
…

I talk with lot of people who are really interested in Percona XtraDB Cluster (PXC) and mostly they are interested in PXC as a high-availability solution.  But, what they tend not to think too much about is if moving from async to synchronous replication is right for their application or not.

Facts about Galera replication

There’s a lot of different facts about Galera that come into play here, and it isn’t always obvious how they will affect your database workload.  For example:

• Transaction commit takes approximately the worst packet round trip time (RTT) between any two nodes in your cluster.
• Transaction apply on slave nodes is still asynchronous from client commit (except on the original node where the transaction is committed)
• Galera prevents writing conflicts to these pending transactions …

Stockholm – October 25th 2011

Severalnines, provider of automation and management software for easily usable, highly available and auto-scalable cloud database platforms, today announces the release of ClusterControl™ for MySQL Galera in cooperation with Codership, the replication experts organisation that leverages the latest developments in computer science to produce fast and scalable synchronous replication solutions that "just work" for databases and similar applications.

Introducing ClusterControl™ for MySQL Galera

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Typical MySQL environment involves one Master receiving writes and multiple slaves to scale the reads. The “slave” term has been used in MySQL because the Slave servers have to perform every task in copying from the Master binlog, then updating their relay logs and finally committing to the Slave databases. The Master plays no role in replication here other than storing the replication events in the binlog.
With this kind of Master- Slave set up, there are several limitations-
-       Slave lag -       Stale or old data -       Data loss -       Manual failover which is error-prone and time consuming
In SchoonerSQL, there is no concept of “Slaves” inside synchronous cluster. We refer to it as "Read Masters" because of our synchronous approach and different replication architecture. It is …