Group replication is a fault-tolerant/highly available replication topology that ensures if the primary node goes down, one of the other candidates or secondary members takes over so write and read operations can continue without any interruptions. However, there are some scenarios where, due to outages, network partitions, or database crashes, the group membership could be broken, or we end […]

In my previous article, Comparisons of Proxies for MySQL, I showed how MySQL Router was the lesser performing Proxy in the comparison. From that time to now, we had several MySQL releases and, of course, also some new MySQL Router ones.Most importantly, we also had MySQL Router going back to being a level 7 proxy […]

Learn how to seamlessly add a new node to MySQL Group Replication from a backup. Scale your cluster, save time, and efficiently manage data updates and recoveries.

1. Hot Physical backup approach
2. Clone plugin approach
3. Logical backup approach

We highly recommend checking out our previous blog post on …

Explore the powerful features of Aurora Serverless V2 for MySQL in this informative blog series. Learn about read-only scaling, parameter support, and cost performance. Compare costs between Provisioned Aurora and Aurora Serverless V2. Discover key takeaways for optimizing your MySQL deployment on the cloud. Read now!

1. Read-only Scaling
   1. Failover replicas
   2. …

Table of contents:

1. Introduction
2. Common reasons for switching the primary node
3. Primary Promotion and its importance
4. Methods for switching the primary node
5. …

In the first part of this short series, we went through the build of a full Clusterset architecture, which included 2 full clusters (3 members each) and an additional cluster with one member, which can serve different purposes. With the MySQL ClusterSet, there are new capabilities with the router instances. These features enable valuable options for users of… Read More »

Aurora cluster promises a high availability solution and seamless failover procedure. However, how much is actually the downtime when a failover happens? And how proxySQL can help in minimizing the downtime ? A little sneak peek on the results ProxySQL achieves up to 25x less downtime and the impressive up to ~9800x less errors during unplanned failovers. How proxySQL achieves this: 

1. Less downtime
2. “Queueing” feature when an instance in a hostgroup becomes unavailable.

So what is ProxySQL? ProxySQL is a middle layer between the database and the application. ProxySQL protects databases from high traffic spikes, prevents databases from having high number of connections due to the multiplexing feature and minimizes the impact during planned/unexpected failovers or crashes of DBs. 

This blog will continue with measuring the impact of an unexpected …

InnoDB Cluster has been around for what feels like a long time. It is the core platform for MySQL High Availability. InnoDB Cluster NOW extends that core feature into a platform that also enables DR support where multiple Disaster Recovery Regions are capable.

Percona XtraDB Cluster 8.0.25 (PXC) has introduced a new option to perform online schema modifications: NBO (Non-Blocking Operation).

When using PXC, the cluster relies on the wsrep_OSU_method parameter to define the Online Schema Upgrade (OSU) method the node uses to replicate DDL statements. 

Until now, we normally have three options:

• Use Total Isolation Order (TOI, the default)
• Use Rolling Schema Upgrade (RSU)
• Use Percona’s online schema change tool (TOI + PTOSC)

Each method has some positive and negative aspects. TOI will lock the whole …

MySQL 8.0.23 introduces a new feature that makes replication possible from a source server that has been configured without Global Transaction Identifiers (GTIDs) to a replica server configured with GTIDs. This can be achieved by configuring replication channels to use the parameter ASSIGN_GTIDS_TO_ANONYMOUS_TRANSACTIONS with the CHANGE REPLICATION SOURCE command.…

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