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Displaying posts with tag: devops (reset)
Define the Backup Policy when deploying MySQL Database Service in OCI

Let’s continue the discovery of the MySQL Database Resource when deploying on Oracle Cloud Infrastructure using Terraform.

Last week, we saw how to create custom configurations and define user variables. Today we will see how we can define a backup policy and a maintenance window.

Backup Policy

In the oci_mysql_mysql_db_system resource, we will add a new section called backup_policy like this:

backup_policy {
       is_enabled        = "true"
       retention_in_days = "3"
       window_start_time = "01:00-00:00"
       freeform_tags = {"backup_defined_by"="Terraform"}
       pitr_policy {
            is_enabled = "true"
       }
}

This part of code (you can see in a working Terraform architecture sample), enables backup, sets the retention days to 3. It also defines the starting …

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Define your MySQL Configuration Variables on OCI with Terraform

With Terraform OCI provider 4.90.0 (released August 24th, 2022), we have added the possibility to specify the value of editable configuration variables directly from Terraform.

These variables must be defined in a resource of type oci_mysql_mysql_configuration like this:

resource "oci_mysql_mysql_configuration" "mds_mysql_configuration" {
        #Required
        compartment_id = var.compartment_ocid
    shape_name   = var.mysql_shape

         …
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MySQL Partitioned Tables

MySQL Partitioned Tables

Learning Outcomes

  • Learn about List Partitioning.
  • Learn about Range Partitioning.
  • Learn about Columns Partitioning.
  • Learn about Hash Partitioning.
  • Learn about Key Partitioning.
  • Learn about Subpartitioning.

Lesson Material

MySQL supports partitioning of tables. It supports range, list, hash, and key partitioning. Range partitioning lets you partition based on column values that fall within given ranges. List partitioning lets you partition based on columns matching one of a set of discrete values. Hash partitioning lets you partition based on the return value from a user-defined expression (the result from a stored SQL/PSM function). Key partitioning performs like hash partitioning, but it lets a user select one or more columns from the …

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Exploring Aurora Serverless V2 for MySQL

Aurora Serverless V2 is generally available around the corner recently 21-04-22 for MySQL 8 and PostgreSQL, with promising features that overcome the V1 disadvantages. Below are those major features

Features

  • Online auto instance upsize (vertical scaling)
  • Read scaling (Supports up to 15 Read-replica)
  • Supports mixed-configuration cluster ie, the master can be normal Aurora(provisioned) and readers can be in serverlessv2 and vice versa
  • MultiAZ capability (HA)
  • Aurora global databases (DR)
  • Scaling based on memory pressure
  • Vertically Scales while SQL is running
  • Public IP allowed
  • Works with custom port
  • Compatible with Aurora version 3.02.0 ie., >= MySQL 8.0.23 (only supported)
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MySQL Windows DSN

Almost a Ripley’s Believe It or Not. An prior data science student told me that his new IT department setup a Windows component that let him connect his Excel Spreadsheets to their production MySQL database without a password. Intrigued, I asked if it was a MySQL Connector/ODBC Data Source Configuration, or DSN (Data Source Name)?

He wasn’t sure, so I asked him to connect to PowerShell and run the following command:

Get-Item -Path Registry::HKEY_LOCAL_MACHINE\SOFTWARE\ODBC\ODBC.INI\MySQL

It returned something like this (substituting output from one of my test systems):

    Hive: HKEY_LOCAL_MACHINE\SOFTWARE\ODBC\ODBC.INI


Name                           Property
----                           --------
MySQL                          Driver      : C:\Program Files\MySQL\Connector ODBC 8.0\myodbc8w.dll
                               DESCRIPTION : MySQL ODBC Connector
                               SERVER      : …
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Installing MySQL InnoDB Cluster in OKE using a MySQL Operator

During previous months, I’ve had some time to satisfy my curiosity about databases in containers and I started to test a little bit MySQL in Kubernetes.
This is how it all began…

In January I had the chance to be trained on Kubernetes attending the Docker and Kubernetes essentials Workshop of dbi services. So I decided to prepare a session on this topic at our internal dbi xChange event. And as if by magic, at the same time, a customer asked for our support to migrate a MySQL database to their Kubernetes cluster.

In general, I would like to raise two points before going into …

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Installing MySQL InnoDB Cluster in OKE using a MySQL Operator

During previous months, I’ve had some time to satisfy my curiosity about databases in containers and I started to test a little bit MySQL in Kubernetes.
This is how it all began…

In January I had the chance to be trained on Kubernetes attending the Docker and Kubernetes essentials Workshop of dbi services. So I decided to prepare a session on this topic at our internal dbi xChange event. And as if by magic, at the same time, a customer asked for our support to migrate a MySQL database to their Kubernetes cluster.

In general, I would like to raise two points before going into …

[Read more]
Deploying Apache Airflow on OCI with MySQL HeatWave Database Service

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: …

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MySQL CSV Output

Saturday, I posted how to use Microsoft ODBC DSN to connect to MySQL. Somebody didn’t like the fact that the PowerShell program failed to write a *.csv file to disk because the program used the Write-Host command to write to the content of the query to the console.

I thought that approach was a better as an example. However, it appears that it wasn’t because not everybody knows simple redirection. The original program can transfer the console output to a file, like:

powershell .\MySQLODBC.ps1 > output.csv

So, the first thing you need to do is add a parameter list, like:

param (
  [Parameter(Mandatory)][string]$fileName
)

Anyway, it’s trivial to demonstrate how to modify the PowerShell program to write to a disk. You should also create a virtual PowerShell drive before writing the file. That’s because you can change the physical directory anytime you want with minimal changes to rest of …

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MySQL ODBC DSN

This post explains and demonstrates how to install, configure, and use the MySQL’s ODBC libraries and a DSN (Data Source Name) to connect your Microsoft PowerShell programs to a locally or remotely installed MySQL database. After you’ve installed the MySQL ODBC library, use Windows search field to find the ODBC Data Sources dialog and run it as administrator.

There are four steps to setup, test, and save your ODBC Data Source Name (DSN) for MySQL. You can click on the images on the right to launch them in a more readable format or simply read the instructions.

MySQL ODBC Setup Steps

  1. Click the SystemDSN tab to see he view which is …
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