MySQL, the world’s most popular open source database, is available as a managed cloud service in Oracle Cloud Infrastructure (OCI) under the name of MySQL Database Service (MDS).

This is the seventh episode of “Discovering MySQL Database Service“, a series of tutorials where I will show you, step by step, how to use MySQL Database Service and some other Oracle Cloud Infrastructure services.

In this episode, we’ll discover and use the OCI Bastion service to provide a restricted and time-limited access to administer our MySQL instance.

The post Discovering MySQL Database Service – Episode 7 – Use a Bastion SSH port forwarding session first appeared on dasini.net - Diary of a MySQL expert.

Here’s a second post focusing on the performance of MySQL on ZFS in cloud environments. In the first post, MySQL/ZFS Performance Update, we compared the performances of ZFS and ext4. This time we’ll look at the benefits of using ephemeral storage devices. These devices, called ephemeral in AWS, local in Google cloud, and temporary in Azure, are provided directly by the virtualization host. They are not network-attached and are not IO throttled, at least compared to regular storage. Not only can they handle a high number of IOPs, but their IO latency is also very low. For simplicity, we’ll name these devices local ephemeral. They can be quite large: Azure lsv2, Google Cloud n2, and AWS i3 instance types offer TBs of fast NVMe local ephemeral storage.

The main drawback of local ephemeral …

I’m studying and beginning to use CodeIgniter 4 in ‘real-world‘ projects and want to share what I learn, as I pick up on concepts of the framework. I’m posting a series of CRUD-related posts over on Medium and resharing them here for any readers who are interested…

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MySQL, the world’s most popular open source database, is available as a managed cloud service in Oracle Cloud Infrastructure (OCI) under the name of MySQL Database Service (MDS).

This is the sixth episode of “Discovering MySQL Database Service“, a series of tutorials where I will show you, step by step, how to use MySQL Database Service and some other Oracle Cloud Infrastructure services.

In this episode, we’ll introduce the concept of Security Lists a virtual firewall to control traffic at the network packet level.

The post Discovering MySQL Database Service – Episode 6 – Update the Private Subnet Security List first appeared on dasini.net - Diary of a MySQL expert.

We already saw how easy it’s to deploy solutions on OCI using Terraform and Resource Manager’s Stack. I’ve published several resources available on this page.

Today we will see how easy it’s to deploy Apache Superset on OCI using MySQL Data Service.

Apache Superset is an open source BI, Reporting, Charting tool that competes with Tableau, Looker, etc.  For a list of companies that have deployed Superset, see:  https://github.com/apache/superset/blob/master/RESOURCES/INTHEWILD.md.

Superset is loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.

For a gallery of …

Originally posted at Andres's blog. Traditional query optimizing is mostly about two things: first, in which order and from where to access data, and then how to then combine it. You have probably seen the tree shapes execution plans that are produced from query planning. I’ll use an example from the MySQL docs, using FORMAT=TREE which was introduced in MySQL 8.0: mysql>EXPLAINFORMAT=TREE->SELECT*->FROMt1->JOINt2->ON(t1.c1=t2.c1ANDt1.c2<t2.c2)->JOINt3->ON(t2.c1=t3.c1)\G***************************1.row***************************EXPLAIN:->Innerhashjoin(t3.c1=t1.c1)(cost=1.05rows=1)->Tablescanont3(cost=0.35rows=1)->Hash->Filter:(t1.c2<t2.c2)(cost=0.70rows=1)->Innerhashjoin(t2.c1=t1.c1)(cost=0.70rows=1)->Tablescanont2(cost=0.35rows=1)->Hash->Tablescanont1(cost=0.35rows=1)Here we can see that the MySQL optimizer thinks the best plan is to start reading from t1 using a table scan.

InnoDB background LRU list flushing is not limited by innodb_io_capcity or innodb_io_capacity_max. I’ll prove it in this blog post, but since MySQL experts disagree (or don’t know for sure), I’d like you to prove me wrong. This is not an intro; you’ll need to know all the InnoDB details wrt page flushing.

InnoDB background LRU list flushing is not limited by innodb_io_capcity or innodb_io_capacity_max. I’ll prove it in this blog post, but since MySQL experts disagree (or don’t know for sure), I’d like you to prove me wrong. This is not an intro; you’ll need to know all the InnoDB details wrt page flushing.

InnoDB background LRU list flushing is not limited by innodb_io_capcity or innodb_io_capacity_max. I’ll prove it in this blog post, but since MySQL experts disagree (or don’t know for sure), I’d like you to prove me wrong. This is not an intro; you’ll need to know all the InnoDB details wrt page flushing.

Storing your data locally can impose security and availability risks. Major cloud providers have object storage services available to allow you to upload and distribute data across different regions using various retention and restore policies.

Percona XtraBackup delivers the xbcloud binary – an auxiliary tool to allow users to upload backups to different cloud providers directly.

Today we are glad to announce the introduction of the Exponential Backoff feature to xbcloud.

In short, this new feature will allow your backup upload/download to work better with unstable network connections by retrying each chunk and adding an exponential wait time in between retries, increasing the chances of completion in case of an unstable connection or network glitch.

This new functionality is available on today’s release of Percona …