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Oracle Exadata Database Machine v2 vs x2-2 vs x2-8 Deathmatch

This post has bee updated live from the Oracle OpenWorld as I’m learning what’s new. Last update done on 28-Sep-2010.

Oracle Exadata v2 has been transformed into x2-2 and x2-8. x2-2 is just slightly updated while x2-8 is a much more high-end platform. Please note that Exadata x2-2 is not just an old Exadata v2 — it’s a fully refreshed model. This is a huge confusion here at the OOW and even at the Oracle web site.

The new Exadata pricing list is released and Exadata x2-2 costs exactly the same as old Exadata v2. Exadata x2-8 Full Rack (that’s the only x2-8 configuration — see below why) is priced 50% higher then Full Rack x2-2. This is hardware price only to clarify the confusion (updated 18-Oct-2010).

Exadata Storage Server Software pricing is the same and licensing costs per storage server and per full rack is the same as for Exadata v2 because number of disks didn’t change. Note that storage cells got upgraded but priced the same when it comes to Exadata Server software and hardware. Nice touch but see implications on databases licensing below.

This comparison is for Full-Rack models Exadata x2-2 and x2-8 and existing v2 model.

Finally, data-sheets are available for both x2-2 (Thx Dan Norris for the pointers):

http://www.oracle.com/technetwork/database/exadata/dbmachine-x2-2-datasheet-175280.pdf

and x2-8:

http://www.oracle.com/technetwork/database/exadata/dbmachine-x2-8-datasheet-173705.pdf

It means that live update of this post is probably over (27-Sep-2010).

v2 Full Rack x2-2 Full Rack x2-8 Full Rack
Database servers 8 x Sun Fire x4170 1U 8 x Sun Fire x4170 M2 1U 2 x Sun Fire x4800 5U
Database CPUs Xeon E5540 quad core 2.53GHz Xeon X5670 six cores 2.93GHz Xeon X7560 eight cores 2.26GHz
database cores 64 96 128
database RAM 576GB 768GB 2TB
Storage cells 14 x SunFire X4275 14 x SunFire X4270 M2 14 x SunFire X4270 M2
storage cell CPUs Xeon E5540 quad core 2.53GHz Xeon L5640 six cores 2.26GHz Xeon L5640 six cores 2.26GHz
storage cells CPU cores 112 168 168
IO performance & capacity 15K RPM 600GB SAS or 2TB SATA 7.2K RPM disks 15K RPM 600GB SAS (HP model – high performance) or 2TB SAS 7.2K RPM disks (HC model – high capacity)
Note that 2TB SAS are the same old 2 TB drives with new SAS electronics. (Thanks Kevin Closson for ref)
15K RPM 600GB SAS (HP model – high performance) or 2TB SAS 7.2K RPM disks (HC model – high capacity)
Note that 2TB SAS are the same old 2 TB drives with new SAS electronics. (Thanks Kevin Closson for ref)
Flash Cache 5.3TB 5.3TB 5.3TB
Database Servers networking 4 x 1GbE x 8 servers = 32 x 1GbE 4 x 1GbE x 8 servers + 2 x 10GbE x 8 servers = 32 x 1Gb + 16 x 10GbEE 8 x 1GbE x 2 servers + 8 x 10GbE x 2 servers = 16 x 1Gb + 16 x 10GbEE
InfiniBand Switches QDR 40Gbit/s wire QDR 40Gbit/s wire QDR 40Gbit/s wire
InfiniBand ports on database servers (total) 2 ports x 8 servers = 16 ports 2 ports x 8 servers = 16 ports 8 ports x 2 servers = 16 ports
Database Servers OS Oracle Linux only Oracle Linux (possible Solaris later, still unclear) Oracle Linux or Solaris x86

Read the rest of this entry . . .

Free and Easy Schema diff for Oracle

This post originated from a quick discussion we had internally on how to quickly and easily compare schemas between two Oracle databases. I learned about Sheeri Cabral’s post with a quick comparison solution for MySQL databases and I though of using a similar approach for Oracle. I did some testing and it worked quite well.

There certainly are tools in the market, free or not, that do this for us, and even generate scripts to correct differences. The steps below only go as far as to tell you what the differences are. However, they don’t require any additional tool and can be easily executed in any *nix or Windows environment.

The procedure uses the Oracle Data Pump utilities to extract one schema’s metadata and the Unix diff command to compare them. The metadata files generated by Data Pump, though, contain a lot of information about tables and indexes statistics that add too much noise to the diff output, since they usually differ a lot between databases. To eliminate that noise, I used the following small Perl script to pre-process the metadata files: Read the rest of this entry . . .

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