EmergencyEMERGENCY? Get 24/7 Help Now!

Intel 320 SSD read performance

 | July 29, 2011 |  Posted In: Benchmarks, Hardware and Storage


(this is cross-post from https://www.percona.com/blog/)
While PCI-e Flash cards show great performance, I am often asked about alternatives, as price for PCI-e cards is still significant and not acceptable for small companies and startups.

Intel 320 SSD appears to be a popular drive with a quite acceptable price.
I wrote about write performance of these cards, and now let’s take look on a random read workload.

I used a Cisco UCS C250 as base hardware, comparing in it:

  • regular RAID10 over 8 SAS 2.5 disks
  • single Intel 320 SSD directly attached to a HighPoint RocketRAID 2300
  • two Intel 320 SSD in hardware RAID0 mode, attached to a LSI SAS9211-4i controller

For simulating the workload I used sysbench’s fileio random reads. Scripts and raw results available on Launchpad.

Let’s see throughput results:

Throughput, MiB/sec (more is better)
threads Intel 320 Intel 320 2 strip RAID10 ratio Intel 320 / RAID10 ratio Intel 320 2 strip / RAID10
1 30.27 31.18 3.75 8.07 8.31
2 55.18 60.49 6.98 7.91 8.67
4 95.13 112.85 12.10 7.86 9.33
8 143.58 191.64 19.05 7.54 10.06
16 174.75 277.70 26.70 6.54 10.40
32 174.60 351.84 32.90 5.31 10.69

And response times:

95% response time, ms (less is better)
threads Intel 320 SSD Intel 320 SSD strip RAID ratio RAID/Intel 320 ratio RAID/Intel 320 strip
1 0.53 0.56 6.13 11.57 10.95
2 0.72 0.59 7.27 10.10 12.32
4 0.89 0.74 10.07 11.31 13.61
8 1.24 0.95 15.63 12.60 16.45
16 1.76 1.38 25.52 14.50 18.49
32 3.33 2.15 47.35 14.22 22.02

As conclusion, this card provides great read performance. A single card provides 5-8x better throughput and 10-14x better response time. Striping helps to increase throughput in 8-10x and response time in 10-22x.

While there are questions about write performance (see my previous post), I think this card is very suitable for read-intensive tasks, where you can expect significant improvements.

Vadim Tkachenko

Vadim Tkachenko co-founded Percona in 2006 and serves as its Chief Technology Officer. Vadim leads Percona Labs, which focuses on technology research and performance evaluations of Percona’s and third-party products. Percona Labs designs no-gimmick tests of hardware, filesystems, storage engines, and databases that surpass the standard performance and functionality scenario benchmarks. Vadim’s expertise in LAMP performance and multi-threaded programming help optimize MySQL and InnoDB internals to take full advantage of modern hardware. Oracle Corporation and its predecessors have incorporated Vadim’s source code patches into the mainstream MySQL and InnoDB products. He also co-authored the book High Performance MySQL: Optimization, Backups, and Replication 3rd Edition.


Leave a Reply


Percona’s widely read Percona Data Performance blog highlights our expertise in enterprise-class software, support, consulting and managed services solutions for both MySQL® and MongoDB® across traditional and cloud-based platforms. The decades of experience represented by our consultants is found daily in numerous and relevant blog posts.

Besides specific database help, the blog also provides notices on upcoming events and webinars.
Want to get weekly updates listing the latest blog posts? Subscribe to our blog now! Submit your email address below and we’ll send you an update every Friday at 1pm ET.

No, thank you. Please do not ask me again.