Episodios

  • MyVector Magic: Elevating MySQL with AI Search

    MyVector Magic: Elevating MySQL with AI Search
    Sep 18 2025
    Oracle Ace Alkin Tezuysal joins leFred and Scott to introduce the MyVector plugin for MySQL Community Edition, bringing powerful vector search capabilities to your favorite open-source database. Learn how MyVector enables advanced AI and similarity search features, why this matters for modern applications, and how the MySQL community can easily get started. ------------------------------------------------------------- Episode Transcript: 00:00.000 --> 00:25.000 Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL product updates and insightful interviews with members of the MySQL community. 00:25.000 --> 00:32.000 Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started. 00:32.000 --> 00:37.000 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I'm LeFred. 00:37.000 --> 00:38.000 And I'm Scott Stroz. 00:38.000 --> 00:47.000 Joining us today is Alkin Tezuysal. We know each other for a long time already and Alkin serves as Director of Services at Altinity Inc. 00:47.000 --> 00:55.000 Bringing over 30 years of experience in open source relational databases with deep expertise in MySQL, of course, and ClickHouse. 00:55.000 --> 01:08.000 He co-authored key references works including MySQL Cookbook 4th edition that came in 2022 and Database Design and Modeling with Postgres and MySQL in 2024. 01:08.000 --> 01:21.000 Alkin, you have been honored as MySQL Rockstar in 2023. And since this year, you are also an Oracle Ace Pro for MySQL. Congratulations and welcome to Inside MySQL: Sakila Speaks. 01:21.000 --> 01:23.000 Thank you very much, everyone. 01:23.000 --> 01:34.000 We're glad you're here. Alkin, as you may not know, this season of the podcast is dedicated to all things AI as it relates to MySQL and HeatWave. 01:34.000 --> 01:43.000 And you actually created or wrote a plugin for MySQL Community that kind of helped with that, MyVector. 01:43.000 --> 01:48.000 Can you give us an overview of what MyVector is and what problem it's meant to solve? 01:48.000 --> 01:50.000 Sure. Thank you very much for the question. 01:50.000 --> 02:00.000 And I'm very happy that this year of AI and HeatWave, everything that actually contributes to this technology because it's fairly new. 02:00.000 --> 02:06.000 It's been developing for many years, as we already know, but now it's in our hands. 02:06.000 --> 02:16.000 We can use it. We can definitely use it on our day-to-day activities, whether it's troubleshooting your dishwasher or your washing machine. 02:16.000 --> 02:20.000 But we could also use it in a business-wise database. 02:20.000 --> 02:29.000 So one correction I want to make is I am a contributor to MyVector plugin, not to author. 02:29.000 --> 02:34.000 The author is Shankar Iyer, and he's a developer for databases for many years. 02:34.000 --> 02:40.000 He's got a lot of experience where I've actually been presenting and supporting this project. 02:40.000 --> 02:49.000 And that's the small correction. Other than that, MyVector is a native plugin for MySQL that adds support for storing and searching high dimensional vectors. 02:49.000 --> 02:55.000 This is basically a very, in simple terms, what it does. 02:55.000 --> 03:00.000 And this has been in development for some time. 03:00.000 --> 03:14.000 And as we have seen other, you know, databases, other open source databases also went into this with the, you know, launching of AI to our, you know, end users. 03:14.000 --> 03:24.000 Adding approximate nearest neighbor n-search directly in SQL within MySQL database was kind of needed. 03:24.000 --> 03:29.000 And there has been similar implementations with MySQL. 03:29.000 --> 03:33.000 But MyVector is the open source version of that as a plugin. 03:33.000 --> 03:39.000 So just to wrap up that answer is MyVector column type for embedding storage. 03:39.000 --> 03:41.000 And there's a MyVector. 03:41.000 --> 03:46.000 There's a bunch of functions that MyVector distance for the similarity competition. 03:46.000 --> 03:50.000 Of course, it uses HNSW-based index algorithm, which is very popular. 03:50.000 --> 03:52.000 There's a white paper around it. 03:52.000 --> 04:01.000 It's not a rocket science or just something that was invented for MyVector that is known science. 04:01.000 --> 04:06.000 And basically, it provides an SQL native interface within MySQL. 04:06.000 --> 04:08.000 Hope that answers that question. 04:08.000 --> 04:10.000 Thank you very much, Alkin, yeah. 04:10.000 --> 04:22.000 It answers everything and very happy that you also, let's say, talk about the author that we already met also in Belgium recently. 04:22.000 --> 04:31.000 So I would like to ask you, so why is it important to have this similarity search indexes in MySQL then? 04:31.000 --> 04:40.000 Yeah. So again, going back to the AI-driven application, semantic search, product ...
    Más Menos
    19 m
  • Homegrown Intelligence: AI Features for On-Prem MySQL Enterprise

    Homegrown Intelligence: AI Features for On-Prem MySQL Enterprise
    Sep 4 2025
    leFred and Scott sit down with Gaurav Chadha to explore MySQL AI, a new solution that brings advanced AI features available in HeatWave to organizations running MySQL Enterprise Edition on-premises. Discover how MySQL AI bridges the gap between cloud innovation and on-premise infrastructure, making transformative AI capabilities more accessible, secure, and efficient for teams that rely on MySQL Enterprise Edition wherever their databases reside. -------------------------------------------------------------- Episode Transcript: 00:00.000 --> 00:25.000 Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL product updates and insightful interviews with members of the MySQL community. 00:25.000 --> 00:32.000 Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started. 00:32.000 --> 00:37.000 Welcome back to another episode of Inside MySQL: Sakila Speaks. Hi, I'm LeFred. 00:37.000 --> 00:38.000 And I'm Scott Stroz. 00:38.000 --> 00:41.000 Today, we are thrilled to have Guarav Chadha joining us. 00:41.000 --> 00:51.000 Guarav is a Senior Development Manager leading development of MySQL HeatWave Lakehouse with a keen interest in systems, machine learning and computer architecture. 00:51.000 --> 01:10.000 Guarav brings a multifaceted expertise to database technology. Following the completion of his PhD from the University of Michigan, Ann Arbor, Guarav started at Oracle Labs in 2016, working on a research project which eventually graduated into MySQL HeatWave. 01:10.000 --> 01:16.000 But today we will talk with him about MySQL and AI on premise. Welcome Guarav. 01:16.000 --> 01:17.000 Thanks, Fred. Hi, Scott. 01:17.000 --> 01:18.000 Hi, Guarav. How are you? 01:18.000 --> 01:19.000 Doing good. 01:19.000 --> 01:32.000 So we're going to dive right in. And AI, we see AI is taking over the world. It's being touted for the solution to everything. 01:32.000 --> 01:41.000 How do you see AI transforming traditional on-premise database environments, especially in enterprise setups? 01:41.000 --> 01:54.000 Yes, Scott. So, I completely agree. AI is a transformational technology, and it has the potential to improve everything that we see around us. 01:54.000 --> 02:07.000 So, with regards to traditional on-premise database environments, especially in enterprise setups, I see multiple categories here. So, AI is a technology and a toolset. 02:07.000 --> 02:32.000 And like many other operators in databases, it can help with more and different data analysis. So, think of AI as a new set of SQL operators, which can tease out or analyze data and derive insights that are hard to do it with other operators, with other analysis tools. 02:32.000 --> 02:45.000 And hard for folks to call up. And hard for folks to code up. And that's where I think AI enhances it very easily enters into the database environments. 02:45.000 --> 02:56.000 What I mean by that is examples are recommendation systems, anomaly detection, so on and so forth. 02:56.000 --> 03:02.000 The other category is what I would say user assistance. 03:02.000 --> 03:15.000 So, not everyone is a SQL expert. And we want database technology and databases to be accessible to more people who may or may not come from a traditional database background. 03:15.000 --> 03:22.000 And SQL is a very powerful language and where it can be daunting to start with. 03:22.000 --> 03:35.000 So, again, this is a general category where maybe folks who are not very familiar with a specific programming language like SQL could write things out in just plain natural text. 03:35.000 --> 03:42.000 And AI tools could translate this into a programmatic interface or programmatic language or SQL directly. 03:42.000 --> 03:50.000 And that's another facet where I think AI can make database systems more approachable to a larger category of folks. 03:50.000 --> 03:57.000 It can also give you more user friendly responses, like instead of saying, oh, here's the error code, something went wrong. 03:57.000 --> 04:00.000 It can give you more information, more user friendly responses. 04:00.000 --> 04:06.000 So those are some examples of where I would say the second category, user assistance. 04:06.000 --> 04:12.000 The third category of where AI could help is database management. 04:12.000 --> 04:21.000 So databases are systems of record, the sources of truth and have a very high bar of staying up and being available. 04:21.000 --> 04:30.000 AI can help schedule maintenance at the right time where maybe the workload is low. 04:30.000 --> 04:35.000 They can predict things that might get slow. 04:35.000 --> 04:43.000 We have a whole area called predictive maintenance and make databases more highly available, more easily approachable. 04:43.000 --> 04:44.000 Thank you. 04:44.000 --> 04:46.000 This sounds very interesting. 04:46.000 --> 04:50.000 And because we are talking ...
    Más Menos
    20 m
  • Let HeatWave Drive: The AutoPilot Advantage

    Let HeatWave Drive: The AutoPilot Advantage
    Aug 21 2025
    In this episode, leFred and Scott are joined by Onur Kocberber to explore the many features of HeatWave AutoPilot. Learn how AutoPilot’s intelligent automation helps manage MySQL instances with ease, optimizes performance, and reduces operational costs. Onur shares practical insights and real-world examples showing how customers can streamline their database operations with HeatWave AutoPilot. ------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:31:20 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:31:22 - 00:01:03:00 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz, joining us today is Onur Kocberber. Onur is currently a director of Development at Oracle, leading efforts on MySQL HeatWave, specifically working on the AutoPilot. Based in Oracle's Zurich office, Onur focuses in advanced research and development to improve cloud database performance through interpretable machine learning techniques. 00:01:03:02 - 00:01:24:16 He plays a key role in the ongoing growth of HeatWave, including work on new offering like the HeatWave Lakehouse and HeatWave GenAI service. Welcome, Onur. Thanks. Thanks leFred, thanks Scott. Great to be here. So Onur, can you tell us a bit about your journey? What led you to Oracle and specifically to the MySQL HeatWave team? All right. 00:01:24:16 - 00:01:53:10 So I, I was a grad student at EPFL Lausanne in Switzerland, and, I was doing research specific doing database, accelerators, both for, with hardware and software. And, at the time, I knew that Oracle Labs had a very exciting project about, building basically hardware, software, core design, database machines. And once I graduated, I knew that there were really good set of people. 00:01:53:10 - 00:02:21:18 And that's, how I joined. So I came to basically Zurich, to to the Oracle Labs branch. And then eventually, maybe fast forward ten years, we have, HeatWave database service, but, what we see includes MySQL and other things I will discuss today. That is fantastic. So, Onur, this entire season has been dedicated to, everything AI. 00:02:21:18 - 00:02:47:07 What AI offerings that HeatWave has and some of our listeners, I would guess maybe many of our listeners probably aren't too familiar with, HeatWave AutoPilot. Can you give us a high altitude overview of what AutoPilot is and, what problems that might be resolved? So the database systems today are all cloud databases, right? And, these are many services. 00:02:47:07 - 00:03:21:04 And the onus is on us, in terms of managing these systems. So the customers are expecting basically a full, full fledged, automated service with no, let's say rough edges. And that's where, AutoPilot, comes into play. And when we started the project, when, MySQL HeatWave was becoming a cloud service, we, also started the AutoPilot project, and, we basically targeted four different, let's say, problem domains. 00:03:21:04 - 00:03:53:04 So these are, setting up the system, data, basically loading the data or data management query execution and then failure handling. And, for each of these, categories, we basically looked at what, how we could, improve customer experience as well as customer performance. And at the same time, we put the machine learning, as one of our, basically main objectives because, this is a very old topic, right? 00:03:53:04 - 00:04:18:12 This is this is not a new topic like database management on automatic database, admins and DBAs and such. So that's why we took all the, academic research, plus the realities all today, which is the cloud services. And then, we looked at these four different pillars and then fast forward to today, we have like a double digit numbers in the AutoPilot suite. 00:04:18:14 - 00:04:55:12 Wonderful. And that's awesome. So and why then, this HeatWave AutoPilot is a game changer for users. Right. So, one of the things that we were seeing in the early days of our services that customers would sometimes put together, let's say, scripts or rules or let's say, some sort of, business practices, right? And in AutoPilot, we are taking all of those, especially what you're observing or what you're anticipating, right, that, the customers will have problems with. 00:04:55:16 - 00:05:18:07 And then we are offering them out-of-the-box ready to use for the for the customers. Some of those are fully automated, like, let's say, for or planned improvements. These are like these are happening completely transparent to the use it and some of the features that are a bit more about, the cost optimization of the service or performance optimizations are provided as an advisor. 00:05:...
    Más Menos
    27 m
  • HeatWave Hot Takes: The Power of ML and GenAI

    HeatWave Hot Takes: The Power of ML and GenAI
    Aug 7 2025
    In this episode, leFred and Scott welcome Jayant Sharma and Sanjay Jinturkar to the Sakila Studio for an insightful conversation on machine learning and generative AI within HeatWave. Discover how these cutting-edge technologies are integrated, what makes HeatWave unique, and how organizations can leverage its capabilities to unlock new possibilities in data and AI. Tune in for practical insights, real-world use cases, and a closer look at the future of analytics. ------------------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:32:01 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:32:03 - 00:00:54:17 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz. Today for the second episode of season three dedicated on AI. I am pleased to welcome Sanjay Jinturkar. Sorry if I pronounce it badly. No, you did it right. Hi there. Thank you. So Sanjay is the senior director at Oracle based in New Jersey. 00:00:54:19 - 00:01:21:13 He leads product development for it with AutoML and GenAI with a strong focus on integrating these technologies directly into each HeatWave database. And Sanjay has been instrumental in enhancing HeatWave's machine learning and GenAI tool sets, enabling use case like predictive maintenance, fraud detection and intelligent dicument and Q&A. And also we have a second guest today. 00:01:21:13 - 00:01:48:21 It's a Jayant Sharma. Hi, Jayant. Hello. So Jayant Sharma is senior director of product management at Oracle. He has over 20 years of experience in databases, spatial analytics and application development. He's currently focused on the product strategy and design of the Heatwave MySQL managed services offering. Hey Fred. Thank you, both of you for joining us today. So I'm going to dive right in with the question for Jayant. 00:01:48:23 - 00:02:12:14 Why did Oracle decide to integrate machine learning in generative AI capabilities directly into HeatWave? Thank you Scott, first for this opportunity. And yes, we have to start with first, you know, talking about MySQL, right? MySQL is the world's most popular open source database. And what do all of these customers, the thousands of customers that they have, do with it? 00:02:12:16 - 00:02:47:05 They manage a business process. They manage their enterprise, right? Their focus is on what they want to do, why they want to do it, and not so much the how. That's what MySQL makes it easier. And Heatwave is a managed service on MySQL. Okay, so as folks are modernizing their applications, taking advantage of new technology, they want to be able to use new workloads, new analytics, and modernize their business processes, make it more efficient, make it more effective. 00:02:47:07 - 00:03:09:17 In order to do that, they want to do things such as machine learning and use the benefits of generative AI. However, what they want to focus on, as we said, is what they want, why they want to do it and not the how. So they don't want to have to think about. I have all of this data that's potentially a goldmine. 00:03:09:19 - 00:03:40:07 How do I extract nuggets from it, and how do I safely move it and transfer in between the best of breed tools? I want to be able to do things where they are. I want to bring the capabilities, these new capabilities to my data. I don't want to take my data to where those capabilities are exposed, right? That is why we made it possible to do machine learning and GenAI where your gold mine is, where your data is in MySQL in Heatwave. 00:03:40:09 - 00:04:06:07 Awesome. Thank you. So, I would like to ask you to Sanjay, then. How Do the the, machine learning engine in the HeatWave, offer differ from, using external machine learning pipelines with the with the data we have in the database? It differs in a couple of weeks, specifically how the models are built, who builds them and where they are built. 00:04:06:09 - 00:04:46:09 So our pipeline, we provide, automated pipeline, which can take your data in MySQL database or Lakehouse, and then automatically generate the model for you. So it does the, usual tasks of pre-processing, hyperparameter optimization, and, data cleansing, etc. automatically so that the user doesn't have to do that. We would even go ahead and do, explanations for you in certain use cases, given that this is automated, a big side effect of that is users don't need to be experts in machine learning. 00:04:46:11 - 00:05:16:08 What they need to focus on is their business problem, and how that business problem maps onto one of the features that we provide. From there onwards, the pipeline takes over and generates the models for it. And the third piece ...
    Más Menos
    27 m
  • AI for the Rest of Us: A High-Level Overview

    AI for the Rest of Us: A High-Level Overview
    Jul 25 2025
    Kick off Season 3 of Inside MySQL: Sakila Speaks as leFred and Scott welcome Matt Quinn for an engaging introduction to the world of Artificial Intelligence. In this episode, we step back from the database and explore what AI really is, how it’s shaping society and technology, and why it matters to anyone in tech today. Whether you’re just curious about AI or eager to understand its key concepts, join us as we break down the basics and set the stage for a season of discovery. ------------------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:31:22 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:32:00 - 00:00:58:22 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz. Join us today. It's Matt Quinn, vice president and head of AI at Orracle. Matt leads how Oracle Cloud Infrastructure's AI services are adopted by customers in EMEA. Matt brings deep expertise in enterprise software strategy and a passion for making AI both powerful and its adoption practical. 00:00:59:00 - 00:01:21:03 Today he is here to help us unpack what GenAI really means for the organizations we work for and buy from, and what it means for developers, data professionals, and MySQL users everywhere. Matt, welcome to Inside MySQL: Sakila Speaks. It's great to have you with us to kick off season three of our podcast. Thank you very much, Fred, Scott, great to be with you. 00:01:21:08 - 00:01:43:21 Looking forward to, to an interesting conversation and getting us going for season three. Awesome. Matt, thanks for being here with us. So right off the bat, when most people hear the term AI, they probably think of chat bots. But that's just one form of AI. Can you help provide us with like a high overview of the different types of AI that exist? 00:01:43:23 - 00:02:15:10 Absolutely. And I think AI and itself is a broad church, right? There's a number of different, kinds of AI. The term actually dates back to the 1950s as a concept for you know, machine thinking. It's had a couple of false dawns over the time when compute and data to train. I wasn't really quite ready for this, but as we got into the 90s and the early noughties, as compute power grew, as storage grew, a confluence of internet accessibility, lots of data becoming available, and then we time fed forward. 00:02:15:12 - 00:02:33:12 We found that organizations could do the fundamentals of what we know of AI today things like machine learning. So learning a trend and a pattern, looking at what happened in the past and do a statistical regression on that to predict some future outcome based on what happened in the past. And we use examples of this today without even knowing it. 00:02:33:12 - 00:02:52:11 You know, is this email that's coming into my email system, is this spam or not spam? Those kind to classifier types of AI have been prevalent for the last ten, 15, 20 years, and we're moving forward to where AI has this more kind of human interaction. It's surfacing and it's suddenly popped into the zeitgeist, for for conversation. 00:02:52:15 - 00:03:14:03 So it has multiple facets. We have machine learning trained something to do, something very specific, show it, something that it's seen before and enable it to predict the future based on what it's learned. But we're starting to see this wave of generative AI do more advanced, more nuanced, more humanlike things, and I think that's a really powerful kind of inflection point that we've seen in the last two, three years. 00:03:14:05 - 00:03:39:02 Thank you. So because in your first, answer, you said you said about the 70s and 90s, but why is I having such a huge moment right now? So what changed since that time? I think that the real inflection point is the the kind of conversational nature of it. You can speak human to it, and it can speak human back to you. 00:03:39:04 - 00:04:01:13 If I think about how compute evolved, you know, it used to be I had to type cryptic commands on the green screen in order to be able to use a computer, which meant the audience of people who could use computer to do something was very limited. In the 80s is the GUI. The graphical user interface kind of emerged suddenly it was a keyboard in a mouse, and the population of people who could interact with the computer was much broader. 00:04:01:15 - 00:04:19:02 Mobile did the same for us, but you still had to learn things. You had to take the human to interact in a way that made sense to the computer. With generative AI, I think what's happened in the last 2 or 3 years is actually the computer is coming to meet the human. Suddenly it's able to interact with us in our language. 00:04:...
    Más Menos
    27 m
  • A Rockstar Speaks

    A Rockstar Speaks
    Mar 17 2025
    MySQL Rockstar, René Cannaò, drops in on Fred & Scott to wax philosophical about the success of MySQL, the MySQL Community, and his inspiration for ProxySQL ----------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:36:10 Unknown Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open-source database. Let's get started! Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. 00:00:36:14 - 00:01:01:13 Unknown I am leFred and that is Scott Stroz. Today we are happy to welcome René Cannaò to our podcast. René is a well-known figure in the MySQL ecosystem. He's mainly known as the author of ProxySQL, which he founded in 2016 after developing it since 2013. René is one of our rockstasr and recently received his award during the last Pre-FOSDEM MySQL Belgium Days. 00:01:01:15 - 00:01:25:11 Unknown Welcome, René. Hi, Fred. Thanks for the introduction. I'm very excited to be part of this podcast. And, yeah, it's I'm way I also very much appreciate the MySQL award that I received the early last last month. It was a nice surprise, and I'm very excited to be part of this growing community. Awesome. Thank you René, it was great meeting you last month. 00:01:25:13 - 00:01:48:07 Unknown So, as a longtime member of the MySQL community, do you have any thoughts on how MySQL became the most popular open source database that powers the internet? I don't think that MySQL popularity can be attributed to just one single factor, but I think the combination of factors that made, MySQL so popular as an open source database that is powering the web. 00:01:48:08 - 00:02:17:19 Unknown So, I would say that the probably the very first factor is its simplicity and easy to use, that it made it accessible to all developers of all levels, especially during the early days of the web. So, everybody could have access to MySQL and install it. And this made possible for MySQL to be part of, that very classic Lamp stack in which we had the Linux, Apache, MySQL, and then PHP, Python or Perl. 00:02:18:01 - 00:02:47:14 Unknown So, MySQL was part of this stack, and this allowed it to have, widespread adoption, especially for web application. And, you know, this, this sort of created, positive feedback loop because, as more, users were using MySQL, then the product was becoming a bigger product and then more users were using MySQL. So, you know, this created an absolutely, feedback loop. 00:02:47:19 - 00:03:21:04 Unknown And I think another factor that absolutely affected, the popularity of MySQL was the fact that, not only was easy to download it easy to install, but it was also very reliable, very, very good performance for web application. And it was focused on what the traditional and nontraditional, transactional and non-transactional, workload. So, everybody could make it, and could use it no matter how big were their specific web application. 00:03:21:05 - 00:03:51:11 Unknown And, finally, I think, another important factor was the fact that it had a very, fast growing community around it. So, this absolutely is one of the factors that made it, one of the most popular open-source database. Awesome. Thank you. René. So, as we can hear, you know, very well, MySQL, you're around for a long time in the community, but, it seems that you also worked at MySQL, isn't it? 00:03:51:11 - 00:04:19:05 Unknown Yes. That's correct. As I said, so if you correct, have been in the MySQL ecosystem for very long time, I think I started using MySQL in production in 2004. I was one of the very, few people that saw getting the MySQL certification. Actually, I think it was I was, number 23 with the MySQL Cluster certification. 00:04:19:09 - 00:05:04:01 Unknown So, I've been using my secret for very long time. And as you correctly mentioned, I also worked for MySQL from 2008 till 2011. And, I was part of the MySQL support team. Immediately after the acquisition from Sun. And there was that the last 11. So, after, the acquisition, for Oracle. And I would say that as me, I have been very fortunate in, working, team member of the MySQL support team because there I had the opportunity not only to work together with excellent, and very knowledgeable people that were working in my same team, in the MySQL support team. 00:05:04:06 - 00:05:27:19 Unknown But, I also had, let's say easy access to developers or MySQL developers. So, if there was anything that none of us in the MySQL support team were able to answer about some specific internal of MySQL, it was it was extremely good that we always had the some developers who we could ask for feedback or for clarification. 00:05:27:21 - 00:06:07:09 Unknown And I would say that, I was also very fortunate in...
    Más Menos
    15 m
  • The Bug Whisperer

    The Bug Whisperer
    Feb 13 2025
    For this episode, Fred and Scott are joined by Laurynas Biveinis - one of the most prolific individual contributors to MySQL Community. Take a listen as Laurynas discusses the process he uses when he discovers bugs and how he sets up tests for the engineering team. ----------------------------------------------------------- Episode Transcript: 00;00;09;14 - 00;00;36;00 Unknown Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open sourcedatabase. Let's get started! Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. 00;00;36;07 - 00;01;13;06 Unknown I am leFred and I'm Scott Stroz. Today we are thrilled to welcome Laurynas Biveinis to our podcast. Laurynas. He's a highly respected software engineer and a seasoned expert in database technologies, particularly MySQL. With a rich background in database internals, performance optimization and open source development. Laurynas has contributed extensively to the MySQL ecosystem. He has played a key role in announcing most performance and reliability to his work on project like the Percona server and other database innovation. 00;01;13;08 - 00;01;45;08 Unknown We are excited to dive into this highlight on MySQL, his evolution and the future of the database technology. Laurynas, you have been extremely active in helping improve MySQL and since April 2011, you have reported 444 bugs. First of all, I love the symmetry of the number of 444, but can you like, give us, a brief walkthrough of how you go about reporting the bugs? 00;01;45;08 - 00;02;00;25 Unknown Like, like what type of testing do you do? Do you set up some type of test framework or, or something? Because obviously, you know, you need to make sure that it can be repetitive and you have to report that stuff to, to the team. But just walk us through like your mental process that you, you, you do for that. 00;02;00;28 - 00;02;30;28 Unknown Hello. And, thanks for having me here. So to, to to answer the question about bug reporting. Whenever I notice that something is off, and I make a note of it, and I return to it later, and the majority of my bugs come from, either, documentation reading, either from the source code reading or from, running the source code, in the in a test framework. 00;02;31;00 - 00;02;52;18 Unknown So, the test framework gives something that, creates reproducible test cases. And if I can write one in the test case, in the, in the test framework, I do that and I submit that with a bug reports. And I know that your team immediately can, they can tell me whether they produce it or is, that they need something else for me. 00;02;52;21 - 00;03;20;04 Unknown So. So you are using MTR, as the the same framework as we do? Yeah. Most of the time I'm using MTR. So, but, so about all that, huge number of bugs that you report, you are also one of the most prolific contributors of my SQL with, 84 contributions in MySQL 8. So, why are you contributing so much and what type of contribution do you do usually for people that doesn't know you? 00;03;20;06 - 00;03;48;09 Unknown Well, so, these are usually bug fixes. Most of the time small but sometimes larger too. And over the years there have been a few performance features contributor to. So the thing I like about contributing is that,contribution makes that code less of my problem and more of your problem. So, it's like a gifting a puppy. 00;03;48;11 - 00;04;17;27 Unknown And so now you have to take care of it, although you are happy you received it. I love that analogy. That's a that's a that's a analogy about open source, contributions. That's great. So I've seen that you, recently have been blogging quite a bit about, MySQL and Mac OS, which interests me because for work I use, a mac and obviously I have to run MySQL on that platform. 00;04;18;00 - 00;04;48;15 Unknown But usually MySQL is run on Linux. That's a probably. Linux is probably the most popular operating system on which to run MySQL. Why do you think that is? Well, it's won the server wars. Hasn't it? And with the, the newer with the new features, with, with the BPF and you're in it's, it gets better every day and there is no real competition for it in the server space. 00;04;48;18 - 00;05;15;22 Unknown But the thing I love about Mac is that, development is easier for me on the Mac, and the hardware is very good. The build times are excellent on, on the on the Apple silicon machines. So I like that, I can do it with the least friction and with the, the best the turnaround time from typing to testing. 00;05;15;24 - 00...
    Más Menos
    9 m
  • What's in a name?

    What's in a name?
    Jan 30 2025
    Pedro Andrade joins Fred and Scott to talk about how MySQL's mascot was named. Pedro shares a conversation he had with Ambrose Twebaze where they discuss the competition where Sakila was given her name. ------------------------------------------------------------- Episode Transcript: 00;00;09;13 - 00;00;32;08 Welcome to Inside MySQL: Sakila Speaks a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open-source database. Let's get started! Hello! 00;00;32;09 - 00;00;55;07 Welcome to inside MySQL: Sakila Speaks, the podcast dedicated to MySQL. I am a leFred and I'm Scott Stroz. Today we are diving into something fun. Mysql’s beloved mascot Sakila the dolphin. Sakila represents more than just the logo. It's a symbol of a global community. It's open-source spirit and its dedication to efficiency and speed in the database world. 00;00;55;11 - 00;01;15;24 But what's the story behind Sakila? How did a dolphin become the face of one of the most widely used database management systems in the world? And what significance does Sakila hold for the MySQL community, and how does it inspire innovation? To learn about the name of this iconic dolphin, we have Pedro Andrade a long-time MySQl-er of 17 years. 00;01;15;25 - 00;01;39;21 So, Pedro, can you tell us how Sakila became MySQL’s mascot? Was there any particular reason behind choosing a dolphin? Yeah. Hello everyone, this is Pedro Andrade. So, the reason that the dolphin was chosen as a mascot is it represents, the database. Ease of use. So, friendliness. Right? Speed and agility. Because, as we all know, dolphins are very smart creatures. 00;01;39;28 - 00;01;59;29 So, the name Sequela as an interesting background, it was choose from a naming competition. And I think you personally know the winner. Can you share more about the story, Pedro? Sure thing. So, as you mentioned, I've been with MySQL for a long time, and I’d always been very curious about the experience of the of the person that chose the name. 00;02;00;04 - 00;02;26;17 In the early days of MySQL and through community sense, what MySQL did is they opened a worldwide contest that was called, “Named the Dolphin Contest”. And so, we had submissions from all over the world. And the way the contest went is, the winner would win a couple of T-shirts and a Palm Pilot 3C, which, for those of you that remember, that was the color Palm Pilot, which was a very advanced technology at the time. 00;02;26;23 - 00;02;47;26 So, I did track down the winner. His name is Ambrose Twebaze. It took me a long time because he's not really on social media. So, after a couple of years of digging and searching, I found him, and he is in, Eswatini. Would you say a landlocked, kingdom in Africa? I spoke to Ambrose recently. 00;02;47;28 - 00;02;56;04 And I have some, some, interesting questions for the rest of the community to learn. 00;02;56;06 - 00;03;34;21 Thank you. Thanks again for talking to us. As I mentioned, MySQL is turning 30, in 2025, so that's coming around the corner. And we wanted to just, just revisit, the particularly the, the mascot, our mascot, the dolphin, which was name is Sakila, as you know. And you, you named it. So, this goes back to it and correct me if I'm wrong, but from from what I read, the contest itself was announced in 2001, and then, the submission or the, you know, the, the final, submission was, was chosen on, on 2002. 00;03;34;21 - 00;03;54;21 Is that right? So it was in 2002. That is that sound about right when you submitted the name? Yeah. Yeah, I think it took some time, but eventually it came through email. I saw where it I was very surprised because, I mean, when you enter something, there are so many people that enter these competitions. You are not expecting anything out of it. 00;03;54;21 - 00;04;14;22 I mean, we always enter competitions, so for the best or just you do it for the sake of it. Okay, let me just do this. And, what ends up ends. And so ,I did receive after a long time, I received an email that say, no, your name was chosen as the winning. Then they asked a few questions. 00;04;14;22 - 00;04;53;26 If I could write a few things about, the name, what it means. The name. This, basically, it's from Swaziland. Now, this was it is now rebranded itself as, Eswatini. Sakila, basically, it's a traditional, I don't know, like, stick for warriors was warriors, that used so actually it's pronounced “sagila”. So I thought when I was writing there, because, the people who receive this name are not from Africa. 00;04;53;26 - 00;05;18;04 They don't know how to pronounce this name. So it's being pronounced as "Sakila”. Okay. But for us, here in southern Africa, here. So I'm still in ...
    Más Menos
    20 m