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(Other benchmarks from 2008)
(Other benchmarks from 2008)
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Justin Piszcz made a comparison in May 2008 with bonnie++
Justin Piszcz made a comparison in May 2008 with bonnie++
( test of raid levels 0 1 4 5 6 10,f2 10,n2 10,o2] of 6 SATA drives.
( test of raid levels 0 1 4 5 6 10,f2 10,n2 10,o2] of 6 SATA drives.
In Dec 2007 the PyCurious Jon made a
[ test of raid levels 5 and 10 f2 n2 o2] for sequential and random read and write, also in degraded mode, on 3 SATA drives.
=Some problem solving for benchmarking=
=Some problem solving for benchmarking=

Revision as of 22:56, 23 June 2008


Performance of raids with 2 disks

I have made some testing of performance of different types of RAIDs, with 2 disks involved. I have used my own home grown testing methods, which are quite simple, to test sequential and random reading and writing of 200 files of 40 MB. The tests were meant to see what performance I could get out of a system mostly oriented towards file serving, such as a mirror site.

My configuration was

   1800 MHz AMD Sempron(tm) Processor 3100+
   1500 MB RAM
   nVidia Corporation CK804 Serial ATA Controller
   2 x  Hitachi Ultrastar A7K 1000 SCSI-II 1 TB.
   Linux version 2.6.12-26mdk
   Tester: Keld Simonsen,

Figures are in MB/s, and the file system was ext3. The chunk size was 256 kiB. Times were measured with iostat, and an estimate for steady performance was taken. The times varied quite a lot over the different 10 second intervals, for example the estimate 155 MB/s ranged from 135 MB/s to 163 MB/s. I then looked at the average over the period when a test was running in full scale (for example all processes started, and none stopped).

   RAID type      sequential read     random read    sequential write   random write
   Ordinary disk       82                 34                 67                56
   RAID0              155                 80                 97                80
   RAID1               80                 35                 72                55
   RAID10              79                 56                 69                48
   RAID10,f2          150                 79                 70                55

Random read for RAID1 and RAID10 were quite unbalanced, almost only coming out of one of the disks.

The results are quite as expected:

RAID0 and RAID10,f2 reads are double speed compared to ordinary file system for sequential reads (155 vs 82) and more than double for random reads (80 vs 35).

Writes (both sequential and random) are roughly the same for ordinary disk, RAID1, RAID10 and RAID10,f2, around 70 MB/s for sequential, and 55 MB/s for random.

Sequential reads are about the same (80 MB/s) for ordinary partition, RAID1 and RAID10.

Random reads for ordinary partition and RAID1 is about the same (35 MB/s) and about 50 % higher for RAID10. I am puzzled why RAID10 is faster than RAID1 here.

All in all RAID10,f2 is the fastest mirrored RAID for both sequential and random reading for this test, while it is about equal with the other mirrored RAIDs when writing.

My kernel did not allow me to test RAID10,o2 as this is only supported from kernel 2.6.18.

Other benchmarks from 2008

Nat Makarevitch made an extensive benchmark for database with 6 and 10 spindles.

Justin Piszcz made a comparison in March 2008 with bonnie++ test of raid10,f2 n2 o2 raid5 of 10 Raptor drives, in a vanilla and an optimized version.

Conway S. Smith made a bonnie++ comparison in March 2008 raid5 and raid6 with 4 drives and varying Chunk Sizes.

Justin Piszcz made a comparison in May 2008 with bonnie++ ( test of raid levels 0 1 4 5 6 10,f2 10,n2 10,o2] of 6 SATA drives.

In Dec 2007 the PyCurious Jon made a test of raid levels 5 and 10 f2 n2 o2 for sequential and random read and write, also in degraded mode, on 3 SATA drives.

Some problem solving for benchmarking

Sometimes there are apparent pauses in the stream of IO requests to the array component devices. The usual workaround is trying 'blockdev --setra 65536 /dev/mdN' and see if sequential reads improve. Also the stripe-cache_size is important for raid5 and raid6, and NCQ of the controller can interfere with the Linux kernel optimizations.

Here are some commands to alter default settings:

# Set read-ahead.
echo "Setting read-ahead to 64 MiB for /dev/md3"
blockdev --setra 65536 /dev/md3
# Set stripe-cache_size for RAID5.
echo "Setting stripe_cache_size to 16 MiB for /dev/md3"
echo 16384 > /sys/block/md3/md/stripe_cache_size
# Disable NCQ on all disks. (for raptors it increases the speed 30-40MiB/s)
echo "Disabling NCQ on all disks..."
for i in $DISKS
  echo "Disabling NCQ on $i"
  echo 1 > /sys/block/"$i"/device/queue_depth

One good way to see what is actually happening is to use either 'watch iostat -k 1 2' and look at the load on the individual MD array component devices, or use 'sysctl vm/block_dump=1' and look at the addresses being read or written.

Old performance benchmark

This section contains a number of benchmarks from a real-world system using software RAID. There is some general information about benchmarking software too.

Benchmark samples were done with the bonnie program, and at all times on files twice- or more the size of the physical RAM in the machine.

The benchmarks here only measures input and output bandwidth on one large single file. This is a nice thing to know, if it's maximum I/O throughput for large reads/writes one is interested in. However, such numbers tell us little about what the performance would be if the array was used for a news spool, a web-server, etc. etc. Always keep in mind, that benchmarks numbers are the result of running a "synthetic" program. Few real-world programs do what bonnie does, and although these I/O numbers are nice to look at, they are not ultimate real-world-appliance performance indicators. Not even close.

For now, I only have results from my own machine. The setup is:

  • Dual Pentium Pro 150 MHz
  • 256 MB RAM (60 MHz EDO)
  • Three IBM UltraStar 9ES 4.5 GB, SCSI U2W
  • Adaptec 2940U2W
  • One IBM UltraStar 9ES 4.5 GB, SCSI UW
  • Adaptec 2940 UW
  • Kernel 2.2.7 with RAID patches

The three U2W disks hang off the U2W controller, and the UW disk off the UW controller.

It seems to be impossible to push much more than 30 MB/s thru the SCSI busses on this system, using RAID or not. My guess is, that because the system is fairly old, the memory bandwidth sucks, and thus limits what can be sent thru the SCSI controllers.


Read is Sequential block input, and Write is Sequential block output. File size was 1GB in all tests. The tests where done in single-user mode. The SCSI driver was configured not to use tagged command queuing.

From this it seems that the RAID chunk-size doesn't make that much of a difference. However, the ext2fs block-size should be as large as possible, which is 4kB (eg. the page size) on IA-32.

       |            |              |             |              |
       |Chunk size  |  Block size  |  Read kB/s  |  Write kB/s  |
       |            |              |             |              |
       |4k          |  1k          |  19712      |  18035       |
       |4k          |  4k          |  34048      |  27061       |
       |8k          |  1k          |  19301      |  18091       |
       |8k          |  4k          |  33920      |  27118       |
       |16k         |  1k          |  19330      |  18179       |
       |16k         |  2k          |  28161      |  23682       |
       |16k         |  4k          |  33990      |  27229       |
       |32k         |  1k          |  19251      |  18194       |
       |32k         |  4k          |  34071      |  26976       |

RAID-0 with TCQ

This time, the SCSI driver was configured to use tagged command queuing, with a queue depth of 8. Otherwise, everything's the same as before.

       |            |              |             |              |
       |Chunk size  |  Block size  |  Read kB/s  |  Write kB/s  |
       |            |              |             |              |
       |32k         |  4k          |  33617      |  27215       |

No more tests where done. TCQ seemed to slightly increase write performance, but there really wasn't much of a difference at all.


The array was configured to run in RAID-5 mode, and similar tests where done.

       |            |              |             |              |
       |Chunk size  |  Block size  |  Read kB/s  |  Write kB/s  |
       |            |              |             |              |
       |8k          |  1k          |  11090      |  6874        |
       |8k          |  4k          |  13474      |  12229       |
       |32k         |  1k          |  11442      |  8291        |
       |32k         |  2k          |  16089      |  10926       |
       |32k         |  4k          |  18724      |  12627       |

Now, both the chunk-size and the block-size seems to actually make a difference.


RAID-1+0 is "mirrored stripes", or, a RAID-1 array of two RAID-0 arrays. The chunk-size is the chunk sizes of both the RAID-1 array and the two RAID-0 arrays. I did not do test where those chunk-sizes differ, although that should be a perfectly valid setup.

       |            |              |             |              |
       |Chunk size  |  Block size  |  Read kB/s  |  Write kB/s  |
       |            |              |             |              |
       |32k         |  1k          |  13753      |  11580       |
       |32k         |  4k          |  23432      |  22249       |

No more tests where done. The file size was 900MB, because the four partitions involved where 500 MB each, which doesn't give room for a 1G file in this setup (RAID-1 on two 1000MB arrays).

Fresh benchmarking tools

To check out speed and performance of your RAID systems, do NOT use hdparm. It won't do real benchmarking of the arrays.

Instead of hdparm, take a look at the tools described here: IOzone and Bonnie++.

IOzone is a small, versatile and modern tool to use. It benchmarks file I/O performance for read, write, re-read, re-write, read backwards, read strided, fread, fwrite, random read, pread, mmap, aio_read and aio_write operations. Don't worry, it can run on any of the ext2, ext3, reiserfs, JFS, or XFS filesystems in OSDL STP.

You can also use IOzone to show throughput performance as a function of number of processes and number of disks used in a filesystem, something interesting when it's about RAID striping.

Although documentation for IOzone is available in Acrobat/PDF, PostScript, nroff, and MS Word formats, we are going to cover here a nice example of IOzone in action:

 iozone -s 4096

This would run a test using a 4096KB file size.

And this is an example of the output quality IOzone gives

         File size set to 4096 KB
         Output is in Kbytes/sec
         Time Resolution = 0.000001 seconds.
         Processor cache size set to 1024 Kbytes.
         Processor cache line size set to 32 bytes.
         File stride size set to 17 * record size.
                                                             random  random    bkwd  record  stride
               KB  reclen   write rewrite    read    reread    read   write    read rewrite    read   fwrite frewrite   fread  freread
             4096       4   99028  194722   285873   298063  265560  170737  398600  436346  380952    91651   127212  288309   292633

Now you just need to know about the feature that makes IOzone useful for RAID benchmarking: the file operations involving RAID are the read strided. The example above shows a 380.952kB/sec. for the read strided, so you can go figure.

Bonnie++ seems to be more targeted at benchmarking single drives that at RAID, but it can test more than 2TB of storage on 32-bit machines, and tests for file creat, stat, unlink operations.

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