In this article, we will demonstrate how to achieve asynchronous replication automatic source failover when our replica is a Percona Server for MySQL (PS) and the source is a Percona XtraDB Cluster (PXC) cluster, using virtual IP (VIP) managed by Keepalived.Let us consider our architecture below with async replication from PXC to Percona Server for […]
MySQL HeatWave enables users to process and query hundreds of terabytes of data in the object store—in a variety of file formats, such as CSV, Parquet, and Aurora/Redshift export files but let's see how we can benefit from Lakehouse to archive MySQL Data in OCI.
The latest Episode of MySQL Shorts is now available! Check out Episode 048 on the MySQL YouTube Channel. In this video we talk about how to install the lastest MySQL 8.0 & MySQL Innovation Release on Oracle Linux 8 and compatible (Rocky Linux 8, CentOS 8, RHEL 8).
The ability to store data on Object Storage and retrieve it dynamically when necessary is a notable advantage of Lakehouse when managing MySQL historical data we would like to archive.
Let’s illustrate this with the following table:
CREATE TABLE `temperature_history` (
`id` bigint unsigned NOT NULL AUTO_INCREMENT,
`time_stamp` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`device_id` varchar(30) DEFAULT NULL,
`value` decimal(5,2) NOT NULL DEFAULT '0.00',
`day_date` date GENERATED ALWAYS AS (cast(`time_stamp` as date)) STORED NOT NULL,
PRIMARY KEY (`id`,`day_date`),
KEY `device_id_idx` (`device_id`)
) ENGINE=InnoDB AUTO_INCREMENT=129428417 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci SECONDARY_ENGINE=RAPID
/*!50500 PARTITION BY RANGE COLUMNS(day_date)
(PARTITION p0_before2023_11 VALUES LESS THAN ('2023-11-01') ENGINE = InnoDB,
PARTITION p2023_12 VALUES LESS THAN ('2023-12-01') ENGINE = InnoDB,
PARTITION p2024_01 VALUES LESS THAN …[Read more]
Over 15 years ago, GitHub started as a Ruby on Rails application with a single MySQL database. Since then, GitHub has evolved its MySQL architecture to meet the scaling and resiliency needs of the platform—including building for high availability, implementing testing automation, and partitioning the data. Today, MySQL remains a core part of GitHub’s infrastructure and our relational database of choice.
This is the story of how we upgraded our fleet of 1200+ MySQL hosts to 8.0. Upgrading the fleet with no impact to our Service Level Objectives (SLO) was no small feat–planning, testing and the upgrade itself took over a year and …
[Read more]Ensuring the security and resilience of your data hinges on having a robust backup strategy, and Percona XtraBackup (PXB), our open source backup solution for all versions of MySQL, is designed to make backups a seamless procedure without disrupting the performance of your server in a production environment.When combined with the versatility of Docker containers, […]
In a previous post, I showed how you can install MySQL on a Raspberry Pi. In this post, I will show how to capture GPS data and store that data as JSON in MySQL Document Store. The Hardware I am using a Vilros starter kit that includes a Raspberry Pi 4 Model B 8Gb board, a case, and other accessories. I also ordered […]
A while back, I wondered if it was possible to run MySQL on a Raspberry Pi. Not only is it possible, but it is not as complicated as I expected. Read on to find out how. The Hardware The first thing I needed to do to get MySQL running on a Raspberry Pi was procure a Raspberry Pi. […]
Microprocessors have become quite common and they for a variety of reasons. Check out this blog post on how to install MySQL on a Raspberry Pi to use it as a database server.
During an interview or while having general discussions, I have found some funny responses that can be easily classified as “Wrong Answers,” but at times, they’re thought-provoking or involve a deep meaning within. This blog is regarding some of the usual MySQL database conversations and responses, which can appear “wrong” or “funny,” but there’s actually […]