Last month I performed a review of the Percona Operator for MySQL Server (https://www.percona.com/doc/kubernetes-operator-for-mysql/ps/index.html) which is still Alpha.  That operator is based on Percona Server and uses standard asynchronous replication, with the option to activate semi-synchronous  replication to gain higher levels of data consistency between nodes. 

The whole solution is composed as:

Additionally, Orchestrator (https://github.com/openark/orchestrator) is used to manage the topology and the settings …

VRGlass's customer success story explains why they chose MySQL HeatWave over AWS to increase performance in query execution and analytics and improve their computing power to support their large-scale events.

In this article, we are going to talk about the WHERE clause and how to use it in MySQL. Besides SELECT, the scope of the WHERE clause includes the UPDATE and DELETE statements. The WHERE clause is indispensable for quality work with MySQL databases. That’s why the current article will deal with this clause and […]

The post WHERE Condition in MySQL with 16 Different Query Examples appeared first on Devart Blog.

Hey there. Thanks for being here for another issue of the OpenLampTech, the newsletter for PHP/MySQL developers. Plenty of great content in issue #21. Enjoy!

The Newsletter for PHP and MySQL Developers

Receive a copy of my ebook, “10 MySQL Tips For Everyone”, absolutely free when you subscribe to the OpenLampTech newsletter.

I learn so much by curating each OpenLampTech newsletter issue. I hope you get as much value out of it as I do in creating it. Here’s what’s in store in …

Apache Airflow is an open-source workflow management platform for data engineering pipelines.

Today we will see how we can deploy very easily Apache Airflow on a Compute instance in Oracle Cloud Infrastructure (OCI) using MySQL HeatWave Database Service (MDS).

I am sharing Terraform modules you can use to deploy in your architecture:

Architectures

With the modules you can deploy architectures like these:

with a single MDS instancewith MDS High Availabilitywith HeatWave Cluster

We will use the exact same modules built into a stack for OCI’s Resource Manager. This will allow us to deploy the architecture just in few clicks.

Deployment

We open in a browser the following GitHub repository: …

Amazon Web Services (AWS) very recently(March 02, 2022) announced the GA of its new RDS feature “Readable standby with Multi-AZ deployments” for MySQL. Yes !! you heard it right you can now use the standby instances created with Multi-AZ deployments for failover as well as for Read-scaling starting with version 8.0.26 and later for MySQL in RDS

Launching a MultiAZ Cluster

Now let us see how to launch this readable-Multi AZ cluster?

Region Availability: As this is a new feature now it is currently limited to the regions US-EAST-1 (N.Virginia), US-WEST-1 (Oregon), and EU-WEST-1 (Ireland), this list would be extended progressively

VPC requirement:

Before launching the instance, you should have SUBNET created for 3 AZ(Availability Zone) within the VPC since the cluster instances would be spawn across 3AZ by default

Hereunder the “Engine Option” …

Let’s start with some info about how MySQL Document Store handles JSON documents.

Document Store and CRUD

We know that MySQL 8.0 Document Store handles JSON documents with CRUD operations. We can add, delete and modify those documents very easily:

 JS >db.mycollection.find()
{
    "_id": "0000624d3e890000000000000001",
    "name": "my_iot1",
    "type": "sensor",
    "capabilities": "{'temperature':'true','humidity':'true'}"
}
{
    "_id": "0000624d3e890000000000000002",
    "name": "my_iot2",
    "type": "sensor",
    "capabilities": "{'temperature':'true'}"
}
2 documents in set (0.0007 sec)

To modify a document, the modify method can be used in different ways:

As illustrate above, we have:

• set()
• …

Vitess supports managed, non-blocking schema migrations based on VReplication, aptly named vitess migrations. Vitess migrations are powerful, revertible, and failure agnostic. They take an asynchronous approach, which is more lightweight on the database server. The asynchronous approach comes with an implementation challenge: how to cut-over with minimal impact to the user/app and risk free of data loss. In this post we take a deep dive into the cut-over logic used in vitess migrations.

MySQL Database Service on OCI is all over the tech news with the latest HeatWave ML announcement [1][2][3][4][5].

This article explains how to perform a live migration of your Azure/MySQL to OCI/MySQL.

As Azure allows public connections directly to the database, this is what …

Do you wonder if MySQL tells you the truth about writes to tables that have foreign key constraints? The situation is complex, and getting visibility on what is really happening can be a problem.

I found this issue intriguing and decided to share and highlight some examples.

Query Plan

Let us take this example table:

CREATE TABLE `product` (
  `category` int NOT NULL,
  `id` int NOT NULL,
  `price` decimal(10,0) DEFAULT NULL,
  PRIMARY KEY (`category`,`id`)
) ENGINE=InnoDB;

We want to know how costly an example UPDATE against this table will be:

mysql > EXPLAIN update product set id=id+1 where id=65032158 and category=3741760\G
*************************** 1. row ***************************
           id: 1
  select_type: UPDATE
        table: product
   partitions: NULL
         type: range
possible_keys: PRIMARY
          key: PRIMARY
      key_len: 8
          ref: const,const
         rows: 1 …