What are the performance improvement of Sequential Guid over standard Guid?

massimogentilini picture massimogentilini · Oct 4, 2008 · Viewed 29.8k times · Source

Has someone ever measured performance of Sequential Guid vs. Standard Guid when used as Primary Keys inside a database?


I do not see the need for unique keys to be guessable or not, passing them from a web UI or in some other part seems a bad practice by itself and I do not see, if you have security concerns, how using a guid can improve things (if this is the matter use a real random number generator using the proper crypto functions of the framework).
The other items are covered by my approach, a sequential guid can be generated from code without need for DB access (also if only for Windows) and it's unique in time and space.
And yes, question was posed with the intent of answering it, to give people that have choosen Guids for their PK a way to improve database usage (in my case has allowed the customers to sustain a much higher workload without having to change servers).

It seems that security concerns are a lot, in this case do not use Sequential Guid or, better still, use standard Guid for PK that are passed back and forward from your UI and sequential guid for everything else. As always there is no absolute truth, I've edited also main answer to reflect this.

Answer

massimogentilini picture massimogentilini · Oct 4, 2008

GUID vs.Sequential GUID



A typical pattern it's to use Guid as PK for tables, but, as referred in other discussions (see Advantages and disadvantages of GUID / UUID database keys) there are some performance issues.

This is a typical Guid sequence

f3818d69-2552-40b7-a403-01a6db4552f7
7ce31615-fafb-42c4-b317-40d21a6a3c60
94732fc7-768e-4cf2-9107-f0953f6795a5


Problems of this kind of data are:<
-

  • Wide distributions of values
  • Almost randomically ones
  • Index usage is very, very, very bad
  • A lot of leaf moving
  • Almost every PK need to be at least on a non clustered index
  • Problem happens both on Oracle and SQL Server



A possible solution is using Sequential Guid, that are generated as follows:

cc6466f7-1066-11dd-acb6-005056c00008
cc6466f8-1066-11dd-acb6-005056c00008
cc6466f9-1066-11dd-acb6-005056c00008


How to generate them From C# code:

[DllImport("rpcrt4.dll", SetLastError = true)]
static extern int UuidCreateSequential(out Guid guid);

public static Guid SequentialGuid()
{
    const int RPC_S_OK = 0;
    Guid g;
    if (UuidCreateSequential(out g) != RPC_S_OK)
        return Guid.NewGuid();
    else
        return g;
}


Benefits

  • Better usage of index
  • Allow usage of clustered keys (to be verified in NLB scenarios)
  • Less disk usage
  • 20-25% of performance increase at a minimum cost



Real life measurement: Scenario:

  • Guid stored as UniqueIdentifier types on SQL Server
  • Guid stored as CHAR(36) on Oracle
  • Lot of insert operations, batched together in a single transaction
  • From 1 to 100s of inserts depending on table
  • Some tables > 10 millions rows



Laboratory Test – SQL Server

VS2008 test, 10 concurrent users, no think time, benchmark process with 600 inserts in batch for leaf table
Standard Guid
Avg. Process duration: 10.5 sec
Avg. Request for second: 54.6
Avg. Resp. Time: 0.26

Sequential Guid
Avg. Process duration: 4.6 sec
Avg. Request for second: 87.1
Avg. Resp. Time: 0.12

Results on Oracle (sorry, different tool used for test) 1.327.613 insert on a table with a Guid PK

Standard Guid, 0.02 sec. elapsed time for each insert, 2.861 sec. of CPU time, total of 31.049 sec. elapsed

Sequential Guid, 0.00 sec. elapsed time for each insert, 1.142 sec. of CPU time, total of 3.667 sec. elapsed

The DB file sequential read wait time passed from 6.4 millions wait events for 62.415 seconds to 1.2 million wait events for 11.063 seconds.

It's important to see that all the sequential guid can be guessed, so it's not a good idea to use them if security is a concern, still using standard guid.
To make it short... if you use Guid as PK use sequential guid every time they are not passed back and forward from a UI, they will speed up operation and do not cost anything to implement.