Long-time web developer Christian Olear shares an insightful developer interview with the OpenLampTech newsletter readers.

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Spanning two-plus decades, Christian Olear has programmed using Laravel, the Zend framework, and Symfony to name just a few, in addition to vanilla PHP.

Head on over and grab your free subscription to OpenLampTech to read this developer interview and more.

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Some time ago, we saw how we could deploy WordPress on OCI using MySQL HeatWave Database Service with Read Replicas. We had to modify WordPress to use a specific plugin that configures the Read/Write Splitting on the application (WordPress): LudicrousDB.

Today, we will not modify WordPress to split the Read and Write operations, but we will use MySQL Router 8.2.0 (see [1], [2], [3]).

Architecture

The …

Some time ago, we saw how we could deploy WordPress on OCI using MySQL HeatWave Database Service with Read Replicas. We had to modify WordPress to use a specific plugin that configures the Read/Write Splitting on the application (WordPress): LudicrousDB. Today, we will not modify WordPress to split the Read and Write operations, but we […]

In Percona Managed Services, we manage Percona for MySQL, Community MySQL, and MariaDB. Sometimes, the replica server might have replication errors, and the replica might be out of sync with the primary. In this case, we can use Percona Toolkit’s pt-table-checksum and pt-table-sync to check the data drift between primary and replica servers and make […]

In a recent podcast on Mastering EOL Migrations: Lessons learned from MySQL 5.7 to 8.0 I discuss with my colleague Adam North not only the technical issues that become a major migration but also key business and management requirements with having a well-articulated strategy that covers:

• Planning
• Testing
• Be Prepared
• Proactiveness

Having a plan is key to any significant task including data migrations. You should heed the warnings and the deprecations and consider all potential downstream product impacts such as connector upgrades. The plan includes a timeline but also needs to define all the stakeholders both technical and business, the definition of a successful migration, and most importantly the decision tree for a non-successful migration that would …

A quick configuration change may do the trick in improving the performance of your AWS RDS for MySQL instance. Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. While this discussion primarily targets MySQL instances, the principles are also relevant to […]

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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 […]

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 …