While built-in replication has been a major cause for MySQL’s wide adoption, official tools to help DBAs manage replication topologies have typically been missing from the picture. The community has produced many good products to fill in this gap, but recently, Oracle has been filling it too with the addition of MySQL Utilities to the mix.

One part of the Utilities that has been generating interest recently is MySQL Fabric, and we will be discussing this project in an upcoming series of blog …

Finding bugs in MySQL is not only fun, it’s also something I have been doing the last four years of my life.

Whether you want to become the next Shane Bester (who is generally considered the most skilled MySQL bug hunter worldwide), or just want to prove you can outsmart some of the world’s best programmers, finding bugs in MySQL is a skill not reserved anymore to top QA engineers armed with a loads of scripts, expensive flash storage and top-range server hardware. Off course, for professionals that’s still the way to go, but now anyone with an average laptop and a standard HDD can have a lot of fun trying to find that elusive crash…

 If you follow this post carefully, you may well be able to find a nice crashing bug (or two) running RQG …

If you’ve been following this blog (my colleague, David Busby, posted about it yesterday) or any tech news outlet in the past few days, you’ve probably seen some mention of the “Heartbleed” vulnerability in certain versions of the OpenSSL library.

So what is ‘Heartbleed’, really?

In short, Heartbleed is an information-leak issue. An attacker can exploit this bug to retrieve the contents of a server’s memory without any need for local access. According to the researchers that discovered it, this can be done without leaving any trace of compromise on the system. In other words, if you’re vulnerable, they can steal your keys and you won’t even notice that they’ve gone missing. I use the word “keys” literally here; by being able to access the contents of the impacted service’s memory, the attacker is …

The heartbleed bug was introduced in OpenSSL 1.0.1 and is present in

• 1.0.1
• 1.0.1a
• 1.0.1b
• 1.0.1c
• 1.0.1d
• 1.0.1e
• 1.0.1f

The bug is not present in 1.0.1g, nor is it present in the 1.0.0 branch nor the 0.9.8 branch of OpenSSL some sources report 1.0.2-beta is also affected by this bug at the time of writing, however it is a beta product and I would really recommend not to use beta quality releases for something as fundamentally important as OpenSSL in production.

The bug itself is within the heartbeat extension of OpenSSL (RFC6520). The bug allows an attacker to leak the memory in up to 64k chunks, this is not to say the data being leaked is limited to 64k as the attacker can continually abuse this bug to leak data, until they are satisfied with what has been …

Next Wednesday, I will present a webinar about MySQL performance profiling tools that every MySQL DBA should know.

Application performance is a key aspect of ensuring a good experience for your end users. But finding and fixing performance bottlenecks is difficult in the complex systems that define today’s web applications. Having a method and knowing how to use the tools available can significantly reduce the amount of time between problems manifesting and fixes being deployed.

In the webinar, titled “Optimizing MySQL Performance: Choosing the Right Tool for the Job,” we’ll start with the basic top, iostat, and vmstat then move onto advanced tools like GDB, Oprofile, and Strace.

I’m looking forward to this webinar and invite you to join us April 16th at 10 a.m. Pacific time. You can learn more and also  …

Facebook’s Yoshinori Matsunobu

I spoke with Facebook database engineer Yoshinori Matsunobu here at Percona Live 2014 today about a range of topics, including MySQL at Facebook, the company’s recent move to WebScaleSQL, new MySQL flash storage technologies – and why attending the Percona Live MySQL Conference and Expo each year is very important to him.

Facebook engineers are hosting several sessions at this year’s conference and all have been standing room only. That’s not too surprising considering that Facebook, the undisputed king of online social networks, has 1.23 billion monthly active …

In my last blog post I explained how to use Percona ClusterControl to create a new Percona XtraDB Cluster from scratch. That’s a good option when you want to create a testing environment in just some mouse clicks. In this case I’m going to show you how to add your existing cluster to Percona ClusterControl so you can manage and monitor it on the web interface.

The environment will be pretty similar, we will have UI, CMON and 3 XtraDB Cluster nodes. The cluster should be already running and Percona ClusterControl also installed.

Adding an existing Cluster

The ClusterControl web interface is empty, there are no clusters on it. To add an existing one …

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by Uday Sawant (ScaleArc) and myself. You can also download the report directly as a PDF here.

The goal of these benchmarks is to identify the potential overhead of the ScaleArc software itself and the potential benefits of caching. The benchmarks were carried out with the trunk version of sysbench. For this reason, we used a very small set of data, so the measurements will be fast, and it’s known that caching has huge benefits when the queries themselves are rather expensive. We decided that we would rather show that benefit with a real-world application, which is coming later is this series. And if you’re in the Silicon Valley area, be sure to join us this evening at the …

Percona Server 5.6.11-60.3 introduces a new “log archiving” feature. Percona XtraBackup 2.1.5 supports “apply archived logs.” What does it mean and how it can be used?

Percona products propose three kinds of incremental backups. The first is full scan of data files and comparison the data with backup data to find some delta. This approach provides a history of changes and saves disk space by storing only data deltas. But the disadvantage is a full-data file scan that adds load to the disk subsystem. The second kind of incremental backup avoids extra disk load during data file scans.

The idea is in reading only changed data pages. The information about what specific pages were changed is provided by the server itself which …

I’m looking forward to Wednesday’s joint webinar on MySQL clustering technologies with Matt Aslett, research director of data management and analytics over at 451 Research. We’ll be participating in a live, in-depth discussion of MySQL Clustering for High Availability and Scalability.

Matt will present an overview of the trends driving adoption of clustering technology. He’ll also discuss the key technologies and criteria that developers and administrators need to consider when thinking about clustering, in order to improve their likelihood of success.

For my part, I’ll be focusing on a more technical overview of benefits and drawbacks of different clustering …