At the end of 2021, I pushed the first Docker image to hub.docker.com. This was the first official image and since then, we have been improving our testing and packaging procedures based on Docker, CircleCI, and GitHub Actions. However, when I’m coding,  I’m not testing in Docker. But a couple of weeks ago, when I was reviewing an issue, I realized some interesting Docker use cases that I want to share.

Common use case

First, we are going to review how to take a simple backup with MyDumper to warm you up:

docker run --name mydumper 
     --rm 
     -v ${backups}:/backups  
     mydumper/mydumper:v0.14.4-7 
     sh -c "rm -rf /backups/data; 
          mydumper -h 172.17.0.5 
               -o /backups/data 
               -B test 
               -v 3 
               -r 1000 
               -L /backups/mydumper.log"

You will find the backup …

PL, DOAG-DB & OSC Nagoya 2023

Historically MySQL is great in horizontal READ scale. The scaling, in that case, is offered by the different number of Replica nodes, no matter if using standard asynchronous replication or synchronous replication.

However, those solutions do not offer the same level of scaling for writes operation.

Why? Because the solutions still rely on writing in one single node that works as Primary. Also, in the case of multi-Primary, the writes will be distributed by transaction. In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated.

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS …

I can’t express how grateful I am that you are here reading OpenLampTech each week. But, I’ll try anyway. Thank you! On to this week’s excellent content

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OpenLampTech issue #78 has content featuring:

• MySQL backup tools you might not have heard of …

Discover how to troubleshoot a MySQL replica IO thread stuck in a connecting state. Learn about the replication architecture, security group rules for AWS EC2 instances, and how to address common issues like network restrictions and bind address configuration.

MySQL is a powerful database management and a widely used cloud database service. One of its key features is the ability to create replicas of a master database to improve its availability and scalability. However, at times the IO thread in a MySQL replica may get stuck in a connecting state, which can cause replication issues and affect the overall data consistency …

Amazon claims that Aurora has “Up to 5X the throughput of MySQL”. Is it true? It wasn’t easy to find the truth, but I kept digging until I found it. This is a long read; let’s chase the rabbit all the way down the hole.

Amazon claims that Aurora has “Up to 5X the throughput of MySQL”. Is it true? It wasn’t easy to find the truth, but I kept digging until I found it. This is a long read; let’s chase the rabbit all the way down the hole.

Amazon claims that Aurora has “Up to 5X the throughput of MySQL”. Is it true? It wasn’t easy to find the truth, but I kept digging until I found it. This is a long read; let’s chase the rabbit all the way down the hole.

Historically MySQL is great in horizontal READ scale. The scaling in that case is offered by the different number of Replica nodes, no matter if using standard asynchronous replication or synchronous replication. 

However those solutions do not offer the same level of scaling for writes operation. 

Why? Because the solutions still rely on writing in one single node that works as Primary. Also in case of multi-Primary the writes will be distributed by transaction. In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write, as such the number of writes are NOT distributed across multiple nodes but duplicated. 

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it, must respect the RDBMS rules ( …

Anomaly detection is a technique for finding abnormalities in data. It has multiple applications, such as fraud detection, network intrusion, detecting life-threatening medical conditions, quality control, preventive maintenance, and root cause analysis, among others. Here are two examples: The first example involves detecting credit card fraud. If a customer typically uses their card within their […]