Ideas, releases, practical guides, and perspectives from the people building with MySQL.
Here, we will explore the ins and outs of MySQL DATEDIFF and its practical applications. We will look deeply into its syntax and provide you with real-world examples to showcase how DATEDIFF can be utilized in different scenarios, such as calculating age, tracking project durations, and more.
The post MySQL DATEDIFF: Function Explanation with Examples appeared first on Devart Blog.
Welcome to the 86th installment of the OpenLampTech developer newsletter. The authors whose content I share sure do make my job easy (and enjoyable). Thank you for reading.
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In OpenLampTech issue #86, we have some fantastic articles on:
As was announced on Jun 1, 2023, you can find MySQL team at following conference in July 2023: Come to meet us, we are looking forward to talking to you during the shows above!
JAPAC conferences with MySQL, July 2023
On the Internet, you can get a lot of advice from almost anywhere when you’re looking for information on how to do your DBA job.
My blog is one of these sources of advice, and depending on the source, we generally trust the advice more or less.
But sometimes advice doesn’t take the whole picture into account, and even if it comes from a recognized authority, it can lead to more or less serious problems.
Let’s consider the following situation:
We have an InnoDB ReplicaSet with 1 replication source (primary) and 2 replicas:
JS > rs.status()
{
"replicaSet": {
"name": "myReplicaSet",
"primary": "127.0.0.1:3310",
"status": "AVAILABLE",
"statusText": "All instances available.",
"topology": {
"127.0.0.1:3310": {
"address": "127.0.0.1:3310",
"instanceRole": "PRIMARY",
"mode": "R/W", …Why use Aiven for MySQL service when you could just roll your own? The simple answer: managed services make economies of scale work for you.
To continue our journey to Moodle on Oracle Cloud Infrastructure using Ampere compute instances and MySQL HeatWave Database Service [1] [2], in this article we will see how to scale our architecture using multiple Moodle instances, High Availability for the Database and Read Scale-Out.
This is the architecture we will deploy:
The same principles can be applied to other projects, not just Moodle.
Multiple Compute Instances & MySQL HeatWave High Availability
The first step is to use again the Stack to deploy the initial resources. We must insure that we use a MySQL Shape that has at least 4 OCPUs to …
[Read more]To continue our journey to Moodle on Oracle Cloud Infrastructure using Ampere compute instances and MySQL HeatWave Database Service [1] [2], in this article we will see how to scale our architecture using multiple Moodle instances, High Availability for the Database and Read Scale-Out. This is the architecture we will deploy: The same principles can […]
In this final article on deploying Moodle to OCI with MySQL HeatWave, we are exploring a more complex architecture ensuring high availability and performance.
There is a really nice article by Pep Pla, over at the Percona blog
about fragmentation in MySQL InnoDB tablespaces, which you should read.
The article discusses “fragmentation” of data in tables, which happens in a way similar to how it happens in filesystems.
InnoDB stores data by default in tablespaces, which by default are a file per table. These files are subject to the fragmentation and growth rules of your filesystem, but if you are smart, you are running MySQL on Linux on the XFS. In that case, filesystem fragmentation (and unexplained commit latency variance) are not an issue, because XFS takes care of handling this properly, and only database-internal fragmentation remains.
…
[Read more]