Swapping has always been something bad for MySQL performance but it is even more important for HA systems. It is so important to avoid swapping with HA that NDB cluster basically forbids calling malloc after the startup phase and hence its rather complex configuration.

Probably most readers of this blog know (or should know) about Linux swappiness setting, which basically controls how important is the file cache for Linux. Basically, with InnoDB, since the file cache is not important we add “vm.swappiness = 0″ to “/etc/sysctl.conf” and run “sysctl -p” and we are done.

Swappiness solves part of the swapping issue but not all. With Numa systems, the picture is more complex and swapping can occur because of a memory imbalance between the physical cpus, the sockets and not cores. Jeremy Cole explained this here and …

The Micron P320h SSD is an SLC-based PCIe solid-state storage device which claims to provide the highest read throughput of any server-grade SSD, and at Micron’s request, I recently took some time to put the card through its paces, and the numbers are indeed quite impressive.

For reference, the benchmarks for this device were performed primarily on a Dell R720 with 192GB of RAM and two Xeon E5-2660 processors that yield a total of 32 virtual cores. This is the same machine which was used in my previous benchmark run. A small handful of additional tests were also performed using the Cisco UCS C250. The operating system in use was CentOS 6.3, and for the sysbench fileIO tests, the EXT4 filesystem was used. The card itself is the 700GB model.

So let’s take a look at the data.

With the sysbench fileIO test in asynchronous …

Facebook is a major user of MySQL and has pushed the performance limits of the technology. Their MySQL experts have deep, hands on knowledge of the technology. I’m pleased to welcome Mark Callaghan, Software Engineer for Database Infrastructure at Facebook, back again this year to the Percona Live MySQL Conference & Expo to share his expertise. Mark was a keynote speaker at last year’s conference and will appear this year with a group of Facebook MySQL experts:

• Domas …

I’m pleased to announce that Oracle is sending some of their top technical people to speak at the Percona Live MySQL Conference and Expo. The conference takes place April 22-25, 2013 at the Santa Clara Convention Center and Hyatt Santa Clara.

Tomas Ulin, VP, MySQL Engineering for Oracle, will present an invited keynote talk on “Driving MySQL Innovation” during the Tuesday morning opening keynotes. With the recent release of MySQL 5.6, conference attendees will hear about the latest developments of this major MySQL release.

In addition to Tomas, Oracle MySQL technologists will also lead three breakout …

There are many reasons for wanting a small MySQL database server:

• You’re a uni student who wants to learn the SQL language better and needs a mini-testbox
• You’re a Windows user who wants to play around with Percona Server on Linux
• You’re a corporate application developer who wants a small SQL development & test box
• You’re a Internet startup that just needs a tiny startup database server without all the added costs

So, how about if you could setup a small Arch Linux ARMv6-based hardware device which runs Percona Server for MySQL, in a space not much bigger than your mouse, with the power consumption of only a smartphone charger, fully networked, all for under $80?

Introducing the Raspberry Pi with Percona Server:

Raspberry Pi Fully …

The idea to use SSD/Flash as a cache is not new, and there are different solutions for this, both OpenSource like L2ARC for ZFS and Flashcache from Facebook, and proprietary, like directCache from Fusion-io.
They all however have some limitations, that’s why I am considering to have L2 cache on a database level, as an extension to InnoDB buffer pool.
Fortunately, there is a project in progress Flash_Cache_For_InnoDB by David which implements this.
David helped us to port his work to the latest Percona Server and you can get it from our launchpad Percona Server 5.5.28 …

Not so far ago Fusion-io announced SDK which provides direct API access to Fusion ioMemory(tm) in addition to providing a native filesystem (directFS) with a goal to avoid overhead from kernel and regular Linux filesystems: ext4 and xfs. Fusion-io will explain these features during our Percona Live New York conference and share performance numbers.

It is not too late to register for conference and talk with Fusion-io engineers directly. “PerconaNY” registration will give you 15% discount.

I have a chance to test Micron RealSSD™ P320h. Initially I was expecting a good performance, but you know, how big could be a difference with other products on market? PCIe SSD market is getting crowded, and every company is trying to show the best performance. And at the end, there is a single PCIe slot, single controller, we are probably about to reach limits of these components.
However I was really surprised to see performance numbers with Micron P320h.
In random reads the throughput is 3200 MiB/sec, while the best results I’ve seen so far was 1450 MiB/sec on single card and 2300 MiB/sec on duo.

And this is 16KiB blocksize, which gives us 200.000 random reads IOP/sec, again in 16K blocks (not 512 or 4096 usually used in public benchmarks).

The write random …

I continue my benchmarks of Intel SSD 910, previous time I compared it with Fusion-io ioDrive http://www.mysqlperformanceblog.com/2012/09/07/intel-ssd-910-in-tpcc-mysql-benchmark/. Now I want to test this card against RAID over spinning disks.

• Server: Dell PowerEdge R710
• CPU: 2x Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz
• Memory: 192GB
• Storage: Hardware RAID10 over 8 disks, card: Perc H710, disks: Seagate ST9750420AS 750GB, 2.5″, 7200RPM, 16MB, SATA. Intel SSD 910 (software RAID over 2x200GB devices)
• Filesystem: ext4

• OS: Ubuntu 12.04.1
• MySQL Version: Percona Server 5.5.27-28.1

I continue my benchmarks of Intel SSD 910, the raw IO results are available in my previous experiment. Now I want to test this card under MySQL workload to see if the card is suitable to use with MySQL.

• Server: Dell PowerEdge R710
• CPU: 2x Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz
• Memory: 192GB
• Storage: Fusion-io ioDrive 640GB, Intel SSD 910 (software RAID over 2x200GB devices)
• Filesystem: ext4

• OS: Ubuntu 12.04.1
• MySQL Version: Percona Server 5.5.27-28.1

• Benchmark name: tpcc-mysql
• Scale factor: 2500W (~250GB of data)
• Benchmark …