This blog post is inspired by Jesper's recent blog post on how the automatic update of InnoDB persistent statistics may never trigger if servers are restarted frequently. However, the matter is even worse! In this blog post I will show that even when the automatic recalculation is performed, there are no guarantees as to when the server will see the changes.

Myths about persistent statistics

I must admit that I, for a long time, believed in the myths I was told about when updates to InnoDB's index statistics become visible to the query optimizer. There were basically two variants:

• The updated statistics will only be visible to new connections (i.e., sessions that are started after the statistics was updated)
• When a new connection accesses the table, the updated statistics …

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…

Are you a Medium member? If so, receive an email notification each time I publish a blog post if you prefer the Medium platform. Not a member? No worries! Use my sign-up link (I will get a commission at no extra cost to you) and join. I really enjoy reading all the great content there and I know you will too!!!

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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.

Since we just released Galera Manager, it seemed like a good idea to do a deployment on Amazon Web Services (AWS) using Red Hat Enterprise Linux 8 and MySQL 8.

We start by launching an EC2 instance and choosing Red Hat Enterprise Linux 8 (HVM) and most importantly, we only choose the 64-bit (x86) architecture as we do not support ARM just yet. We choose a t2.micro instance for Galera Manager since this is just a test instance, but it is well worth knowing that 10GB which is the default EBS size may be a little small if you plan on using this for sometime.

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    There will be a MySQL tract at the Southern California Linux Expo 19x (SCaLE)  March 3-6, 2022 in Pasadena, California.   I will organizing the track and the first part of that is asking you to submit talks for the MySQL track.  We needs talks for novices, we need talks for the advanced, and we need talks for those in between!  November 20th, 2021 is the deadline for abstracts/proposals submissions.  

    SCaLE is the largest Linux show in Southern California and not only has amazing talks on anything open source but the expo hall is not to be missed.  Pasadena is an amazing city with great food within walking distance of the expo hall.  Plus they have been recording America's Got Talent …

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.