A few days ago I wrote about how grossly outdated statistics returned through MySQL’s Information_Schema can be. In that post, Øystein Grøvlen suggested taking a look at mysql.innodb_table_stats and mysql.innodb_index_stats as a better source of information. Let’s do just that!

Let’s start with the good news. Unlike MySQL Data Dictionary Tables (mysql.table_stats, etc),  mysql.innodb_table_stats and mysql.innodb_index_stats can be queried by the user. They also contain a lot of interesting statistics. Before we get to that though, let’s examine where those tables come from in more detail.

As the manual tells us, these tables are storing …

The MySQL Development Team is thrilled to announce a new 8.0 Maintenance Release of MySQL Shell AdminAPI – 8.0.19!

This release sets the bar higher, by introducing a new integrated solution based on a very well known Replication technology – MySQL InnoDB ReplicaSet!…

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During this webinar, we will review the MySQL 8.0 upgrade process. In this deep dive session, we will review the latest version of MySQL 8.0, discuss upgrade challenges, bugs, gotchas and how to successfully upgrade to MySQL 8.0.  Please join Percona Senior Technical Manager Alkin Tezuysal on Thursday, January 16th at 9 am EST for his webinar “How to Upgrade to MySQL 8 Like a Boss”.

View the Recording

If you can’t attend, sign up anyway and we’ll send you the slides and recording afterward.

Following MySQL InnoDB Cluster as our first, fully integrated MySQL High Availability solution based on Group Replication, MySQL Shell 8.0.19 includes MySQL InnoDB ReplicaSet which delivers another complete solution, this time based on MySQL Replication.

The basic idea for InnoDB ReplicaSet is to do the same for classic MySQL Replication as InnoDB Cluster did for Group Replication.…

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In this blog post series, we will discuss an overview of Vitess technology. Vitess is a database clustering solution for horizontal scaling of data sets currently suitable to 250Gb – 300Gb in sizes*. It’s a proven technology used by several web-scale companies including YouTube. PlanetScale is the company behind developing and supporting this open-sourced project. 

Introduction to Vitess 

Here’s high-level Vitess architecture visually explained. 

Ref: Sugu Sougoumarane presents an overview of Vitess at Highload in Moscow.

Basic Vitess Components

There are two main components of Vitess. One of them is vtgate which works as a query router where vttablet is a proxy to MySQL to serve the data. 

• …

MySQL Server 8.0.19, 5.7.29 and 5.6.47, new versions of the popular Open Source Database Management System, have been released. These releases are recommended for use on production systems. For an overview of what’s new, please see http://dev.mysql.com/doc/refman/8.0/en/mysql-nutshell.html http://dev.mysql.com/doc/refman/5.7/en/mysql-nutshell.html http://dev.mysql.com/doc/refman/5.6/en/mysql-nutshell.html For information on installing the release on new servers, please see the MySQL installation documentation at […]

The MySQL Development team is very happy to announce that MySQL 8.0.19 is now available for download at dev.mysql.com. In addition to bug fixes there are a few new features added in this release.  Please download 8.0.19 from dev.mysql.com or from the MySQL  Yum,  APT, or SUSE repositories.…

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Queries effect database performance. That’s not a typo: “effect” not “affect”. The difference is not a word game but an important way to think about database performance.

Many things can affect performance. For example, if the system runs out of memory then starts swapping which causes high disk IO latency, that will negatively affect performance. But external factors like that notwithstanding (i.e. when hardware and MySQL are normal and stable), it’s important to understand that queries effect performance.

Queries effect database performance. That’s not a typo: “effect” not “affect”. The difference is not a word game but an important way to think about database performance. Many things can affect performance. For example, if the system runs out of memory then starts swapping which causes high disk IO latency, that will negatively affect performance. But external factors like that notwithstanding (i.e. when hardware and MySQL are normal and stable), it’s important to understand that queries effect performance.

So far, I have written two tutorial blogs about MySQL InnoDB Cluster . Those blogs describe about the InnoDB Cluster configuration and how to integrate InnoDB Cluster with the MySQL router . You can get them through the below links .

• MySQL InnoDB Cluster Tutorial 1 ( Group Replication + MySQL Shell )
• MySQL InnoDB Cluster Tutorial 2 ( Integrating with MySQL router )

In this blog I am going to explain the following two things ,

• How to switch the cluster to ( single | multi ) primary mode without downtime ?
• How to make the specific node as the Primary member without …