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Displaying posts with tag: MySQL 8.0 (reset)
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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Readable MultiAZ Cluster with AWS RDS MySQL under the hood.

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” …

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How to modify a JSON field in SQL ?

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()
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Live Migration from Azure Database for MySQL to MySQL Database Service on OCI

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 …

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sysbench 1.1.0 rpm with SSL support

For a future article, I was again looking into the possibility of using sysbench to generate data and load on a MySQL database. However, I needed an SSL connection which only version 1.1.0 supports (see issue 308).

Alexey didn’t create a branch and/or release for the version 1.1.0. The code is the master branch.

As you know, I like to install software using the Operating System’s packaging and so I created a rpm for sysbench 1.1.0.

If you are also interested to use this version, here are the rpms for some popular OS and architecture (including Arm):

sysbench-1.1.0-1.fc35.x86_64

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Using OCI Serverless Functions and API Gateways to create logical dumps of a MySQL Database Service with MySQL Shell

When using cloud native application architectures, Functions have an important role for the business logic without managing any infrastructure. Functions is a serverless platform powered by the Fn Project open source engine.

These Functions are mostly used to create and run different tasks. They can be executed using Fn Project CLI, OCI CLI or a HTTP request.

HTTP requests are useful to invoke Functions from a different service. Usually use to schedule the execution of the function according to a time schedule. Currently, Oracle Cloud Infrastructure does not provide a native mechanism to create time based schedules to execute some jobs like invoking a Function directly …

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Deploying Nextcloud on Oracle Cloud with MySQL Database Service and Object Storage

If like me you like to share some data between all your devices (presentations, keypassX file, pictures, …), you probably use a cloud platform to store all that.

I do like to keep control of such solution, I used ownCloud and now I’m using Nextcloud.

In this article I will show you how to easily deploy Nextcloud on Oracle Cloud (OCI) using MySQL Database Service (MDS) and Object Storage.

The easiest way to deploy solutions on OCI is to use Terraform and Resource Manager’s Stack.

If you already have an account on Oracle …

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Extending MySQL using the Component Infrastructure – part 13: FAQ

This post is the final one of a series of articles on extending MySQL with the Component Infrastructure:

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Apache Zeppelin on Oracle Cloud with MySQL HeatWave

On the previous article we saw how to easily deploy Apache Zeppelin on OCI with MySQL using Terraform.

In this article we will see how we can accelerate queries enabling MySQL HeatWave.

Enabling HeatWave

If you used a MySQL Database Service Shape compatible with HeatWave (MySQL.HeatWave.VM.Standard.E3), using the same Resource Manager Stack, you have the possibility to enable HeatWave and deploy a HeatWave Cluster for your MySQL.

The first think to do, is to edit the previous applied stack:

As we used a HeatWave compatible shape, we have the choice to deploy a HeatWave Cluster and we can choose it:

Save and Apply… the HeatWave cluster will be added:

If you …

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Diskspace Problem When Modifying a Large InnoDB Table in MySQL… and how to solve it !

Recently, somebody requested some help as he was trying to modify the structure of a large table. The requested modification was related in changing a fixed length string to a variable length string column.

If you don’t know it yet, MySQL supports multiple algorithms when altering a table (DDL):

  • COPY: operations are performed on a copy
  • INPLACE: operations may rebuild the table inplace (no copy)
  • INSTANT: operations only change the metadata in the data dictionnary

The operation that interests us today needs to copy the full table. And this was the problem for the user as the MySQL Datadir could not store twice the amount of that large table.

In this blog post I will explain a method that can be used to solve this problem. There are also others method like a logical dump …

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Showing entries 71 to 80 of 433
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