Setting up replication in MySQL is something we need to do quite often. Slaves die, replication fails, or tables and data get out of sync. Whenever we build a slave, we must start with a snapshot of all the data from the master database.

MySQLdump is the tried-and-true method of doing this, however it requires that we lock all the tables in the database. If we’re dumping a large database, this could be a significant period, where no writing can happen to our database for the duration of the backup. For many environments read-only is still an outage.

How to Create a Slave Using Xtrabackup

Enter hotbackups to the rescue. Percona comes with a tool that allows you to perform hotbackups of a running MySQL database, with no blocking. It’s able to do this because of Innodb & multi-version concurrency control (MVCC). Luckily we don’t need to dig into the guts to enjoy the benefits of this great technology.

Here’s …

This article is from 2006. MySQL has come a long way since then. MySQL 5.5 is very robust and feature-rich, matching Oracle in many different areas including datatypes, stored procedures and functions, high availability solutions, ACID compliance and MVCC, hotbackups, cold backups and dumps, full text, and other index options, materialized views and much more.  Here’s a high level mysql feature guide.

What really separates the two technologies is culture. MySQL, rooted in the open-source tradition is much more do-it-yourself, leaning towards roll-your-own solutions in many cases. Meanwhile, Oracle provides named and proven paths to solve specific problems.

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MySQL DBAs are in greater demand now than they’ve ever been. While some firms are losing the fight for talent, promising startups with a progressive bent are getting first dibs with the best applicants.

Whatever the case, interviewing for a MySQL DBA is a skill in itself so I thought I’d share a guide of top MySQL DBA interview questions to help with your screening process.
It’s long and detailed with some background to give context so I will be publishing this in two parts.

The History of The DBA As A Career

In the Oracle world of enterprise applications, the DBA has long been a strong career path. Companies building their sales staff required Peoplesoft or SAP, and those deploying the financial applications or e-business suite needed operations teams to manage those systems.

At the heart of that operations team were database administrators or DBAs, a catchall title that …

This blog post describes how to use MySQL Autopilot to automate many tasks in MySQL HeatWave Lakehouse, including schema inference, capacity estimation, load time estimation, load script generation, adaptive data sampling, parallel loading of data, and more.

The upcoming tutorial will focus on the ROUND function, which is used to round numeric values for precision and accuracy. Rounding is vital in databases to avoid discrepancies in calculations, particularly with financial and scientific data. The article will provide practical examples and insights into effectively using the ROUND function for reliable results in dbForge Studio for MySQL.

The post MySQL ROUND Function Examples appeared first on Devart Blog.

Writing tests for code that interacts with a database can be daunting. In this post, we discuss how you can easily set up a testing environment using Testcontainers and Node.js and write some tests for code that interacts with a MySQL database.

Testing code that interacts with a database can sometimes be a daunting task. Check out this post about using Testcontainers and Node.js to test code that interacts with a MySQL database.

Every day PlanetScale processes more than 10 billion of our customers’ queries. We need to collect, store, and serve telemetry data generated by these queries to power Insights, our built-in query performance tool. This post describes how we built a scalable telemetry pipeline using Apache Kafka and a sharded PlanetScale database. Insights requirements To show you Insights, we pull from the following datasets: Database-level time series data (e.g., queries per second across the entire database). Query pattern-level time series data (e.g., p95 for a single query pattern like SELECT email FROM users where id = %) Data on specific query executions for slow/expensive queries (the “slow query log”). The database-level data fits well into a time series database like Prometheus, but we run into several issues when trying to store the query-pattern level data in a time series database. On any given day, there are 10s of millions of unique query …

Over the years, I have become obsessed with writing code tests. One big pain point with writing tests is testing code that interacts with a database. In this post, we are going to talk about some of the difficulties that may be encountered when writing tests for database interaction and how we can use Testcontainers to mitigate […]

After discussing with Simon about some issues when trying to recompile MySQL 8.0.34 on CentOS 9 (see #111159), I also tried it and indeed some dependencies are not listed when compiling via the source RPM.

Let’s see how to recompile the two latest versions of MySQL (8.0.34 and 8.1.0) using the source RPMs.

I use Oracle Linux 9 as build machine.

Getting the source RPM

To get the source RPM, you need first to install the MySQL Community’s repo:

$ sudo dnf install …