Overview The Skinny

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 …

We are well aware that MySQL Group Replication is one of the faster evolving clustering Technology for MySQL. Flow Control plays a key factor in Group Replication performance and data integrity . In this blog I am going to explain about the Flow Control mechanism and How it has evolved in MySQL 8 ?

What is Flow Control ?

MySQL Group Replication / Native Async replication needs binary logs to get the data flow across the servers.

What makes the difference ?

In the MySQL Group Replication we are trying to achieve the Synchronous replication with the help of a Flow Control mechanism and transaction acknowledgments ( certification ).

Without Flow Control, the MySQL Group Replication is asynchronous replication ? Yes, consistency is lost.

Lets us consider

We have three nodes ( GR1, GR2, GR3 ) . Gr1 is the master and and other two servers ( GR2, GR3 ) are the …

Contents

• Introduction
• Character Sets
• Steps to convert Character Set to utf8mb4
  • Analyzing the Server
  • Analyzing the Application and the Clients
  • Preparation of the Server Settings and the …

There was an option during the Fedora 30 Workstation installation to add the Apache Web Server, but you need to set it to start automatically. Unfortunately, there was no option to install PHP, which I thought odd because of how many web developers learn the trade first on PHP with a LAMP (Linux, Apache, MySQL, Perl/PHP/Python) stack. You see how to fix that shortcoming in this post and how to install and test PHP, mysqli, and pdo to support MySQL 8.

Before you do that make sure you install MySQL 8. You can find my prior blog post on that here.

You set Apache to start automatically, on the next boot of the operating system, with the following command:

chkconfig httpd on

It creates a symbolic link:

Created symlink /etc/systemd/system/multi-user.target.wants/httpd.service → …

While updating my class image to Fedora 30, I noticed that it installed the Akonadi Server. The documentation on the Akonadi server lacked some straightforward documentation. It also offered a bundled set of software that limited how to approach MySQL development.

So, I removed all those packages with the following syntax:

dnf remove `rpm -qa | grep akonadi`

Display detailed console log →

Dependencies resolved.
=============================================================================
 Package                          Arch    Version            Repo       Size
=============================================================================
Removing:
 akonadi-import-wizard            x86_64  19.04.2-1.fc30     @updates  2.8 M
 kf5-akonadi-calendar             x86_64  19.04.2-1.fc30     @updates  2.6 M
 kf5-akonadi-contacts             x86_64  19.04.2-1.fc30     @updates  3.3 M
 kf5-akonadi-mime …

Answering this question is not easy. Like always, the best response is “it depends” !

But let’s try to give you all the necessary info the provide the most accurate answer. Also, may be fixing one single query is not enough and looking for that specific statement will lead in finding multiple problematic statements.

The most consuming one

The first candidate to be fixed is the query that consumes most of the execution time (latency). To identify it, we will use the sys schema and join it with events_statements_summary_by_digest from performance_schemato retrieve a real example of the query (see this post for more details).

Let’s take a look at what sys schema has to offer us related to our mission:

> show tables like …

Percona announces the release of Percona Server for MySQL 8.0.16-7 on August 15, 2019 (downloads are available here and from the Percona Software Repositories).

This release is based on MySQL 8.0.16. It includes all bug fixes in these releases. Percona Server for MySQL 8.0.16-7 is now the current GA release in the 8.0 series. All of Percona’s software is open-source and free.

Percona Server for MySQL 8.0.16 includes all the features available in MySQL 8.0.16 Community Edition in addition to enterprise-grade features developed by Percona. For a …

Deployment and management your database environment can be a tedious task. It's very common nowadays to use tools for automating your deployment to make these tasks easier. Automation solutions such as Chef, Puppet, Ansible, or SaltStack are just some of the ways to achieve these goals.

This blog will show you how to use Puppet to deploy a Galera Cluster (specifically Percona XtraDB Cluster or PXC) utilizing ClusterControl Puppet Modules. This module makes the deployment, setup, and configuration easier than coding yourself from scratch. You may also want to check out one of our previous blogs about deploying a Galera Cluster using Chef,  “How to Automate Deployment of MySQL Galera Cluster Using S9S CLI and Chef.”

Our …

Recently, PeterZ pointed a huge difference in memory usage of MySQL 8.0 compare to MySQL 5.7. This can be an issue for small instances if the same configuration for buffers like the buffer pool are not changed.

As explained in Peter’s article, this can lead to the awakening of the so feared OOM Killer !

MorganT, pointed accurately in his comment what is the source of such difference and how this was then caused by the new instrumentation added in MySQL 8.0.

Nothing is free, even as a …

Author: Robert Agar

Tuning database performance is a complicated task that can be a thorn in the side of the database team. There are many interconnected components and environmental aspects that come under consideration when attempting to optimize the performance of your database systems. A DBA can be hard-pressed to determine where to begin their optimization efforts.

An initial investigation may concentrate on the network and hardware on which the database is running. These inquiries may uncover issues that can be easily identified and addressed. It may be a simple matter of adding some disk space or upgrading memory on the database’s server. You might be able to move the database to a less-used network segment to improve the response time when satisfying user requests. Maybe there are conflicting applications or processes on the same server that are impacting the availability of resources to power the …