Recently, I wrote three articles on how to analyze queries and generate a slow query log for MySQL Database Service on OCI:

• https://lefred.be/content/analyzing-queries-in-mysql-database-service/
• https://lefred.be/content/analyzing-queries-in-mysql-database-service-slow-query-log-part-1/
• https://lefred.be/content/analyzing-queries-in-mysql-database-service-slow-query-log-part-2/

In these post, we were generating a slow query log in text or JSON directly in Object Storage.

Today, we will see how we can generate …

To follow up on my previous Kubernetes articles:

• Installed in part one (see Using Percona Kubernetes Operators With K3s Part 1: Installation) and
• Have Percona Server for MySQL running (Using Percona Kubernetes Operators With K3s Part 2: Percona Server for MySQL Operator)
• Monitoring with Percona Monitoring and Management (PMM): Using Percona Kubernetes Operators With K3s Part 3: Monitoring and PMM

I would like to introduce a project which brings Kubernetes observability to the next …

Vitess 15 is now generally available, with a number of new enhancements designed to make Vitess easier to use, more resilient, and easier to scale! VTOrc release # VTOrc, a Vitess-native cluster monitoring and recovery component, is now GA. VTOrc monitors and repairs Vitess clusters, eliminating paging and manual intervention and automating recovery. This makes Vitess fully self-healing and resilient to MySQL server failures. It also obsoletes the third-party integration with Orchestrator that users have traditionally relied on to recover from MySQL server failures.

This week is KubeCon in Detroit, and in preparation for attending I have been polishing up my Kubernetes skills. This big rush to put software in containers and have Kubernetes run everything is getting a lot of push in the industry. Many software applications run perfectly well in ready-made packages from a container made for ephemeral consumption much like a can of Campell’s tomato soup. But generally, relational databases like permanence, stability, and a consistent presence. Databases like to run to stock caches and build statistics, so they are not great at running well after being started. But this article is the first in a series for ‘us’ database folks to learn how to keep our databases happy in a containerized world.

With the trip to the Motor City on my calendar, it was time to answer the question “What is the minimalist …

No, I don’t think so. But it is does change our profession and have important implications for software engineers using (not managing) MySQL.

No, I don’t think so. But it is does change our profession and have important implications for software engineers using (not managing) MySQL.

No, I don’t think so. But it is does change our profession and have important implications for software engineers using (not managing) MySQL.

In the previous part, we created our application and our 2 functions.

Now we need to create an API Gateway to be able to call these functions from outside OCI. Using a third party scheduler, our laptop, etc…

Before creating the gateway, we need to create some policy to allow the API Gateway to call our functions. I’ve tried to create the policy after, it seems to not work as expected.

Security

Dynamic Group

We need to create a Dynamic Group that will match our gateway:

The matching rule is checking the type of resource that should be ApiGateway and my compartment’s id:

All {resource.type='ApiGateway', resource.compartment.id = 'ocid1.compartment.oc1..xxxxxxxxx'}

Policy …

In my previous post, I explained how to deal with Performance_Schema and Sys to identify the candidates for Query Optimization but also to understand the workload on the database.

In this article, we will see how we can create an OCI Fn Application that will generate a slow query log from our MySQL Database Service instance and store it to Object Storage.

The creation of the function and its use is similar to the one explained in the …

If like me you are an old experienced MySQL DBA, to analyze your MySQL workload, you certainly have used the slow query log with long_query_time set to 0.

The slow query log is a file that contains all the queries whose execution time is greater than the value of long_query_time. This file can be huge and uses up all available disk space on busy systems.

Constantly writing to that file can also add an overhead to the server.

For those reasons, the slow query log is not available in MySQL Database Service (HeatWave) in OCI.

Plan B ?

As a DBA, what are my options for finding the queries that need to be optimized? As usual, the queries that consume the most time are the ones that need some attention

It can be a very long query or a short query executed too many times.

Currently the MySQL DBAs use …