PS.  We are now TEN TIMES faster, so it is a lot easier to compute that 
percentage:

#'uuid/v1:                    201 nanoseconds
#'java.util.UUID/randomUUID: 2012 nanoseconds


Best,
Dan


On Tuesday, March 3, 2015 at 3:06:35 PM UTC-5, danl...@gmail.com wrote:
>
> I invoked "engineer's privilege" to quote the number very conservatively. 
>  In one of the later episodes, didn't Scotty confide that the Enterprise 
> actually went up to warp 11, he just never told anyone? :)
>
> Actually, you are right -- I noticed it after I hit "send".  As you can 
> tell, the relative performance number has been a little bit of a moving 
> target as things improved quickly and I grabbed the number from a little 
> too far back in the REPL. 
>
> Thanks Jacob.  I really do hope this is a library that people will find 
> modestly useful.
>
>
>
> On Tuesday, March 3, 2015 at 2:45:38 PM UTC-5, Jacob Strength wrote:
>>
>> That is pretty amazing, I'll have to remember this library next time I 
>> need to use UUID's.
>> Also I think you meant 450% faster.
>>
>> On Sunday, March 1, 2015 at 5:35:16 PM UTC-7, danl...@gmail.com wrote:
>>>
>>> Ok, for anyone following my adventures optimizing clj-uuid, I've gotten 
>>> another substantial win.   
>>> Check it out:    http://danlentz.github.io/clj-uuid
>>>
>>> #'uuid/v1:                    443 nanoseconds
>>> #'java.util.UUID/randomUUID: 2012 nanoseconds
>>>
>>> Also, the test suite has much greater coverage with individual tests for 
>>> each v1, v,3, v4, v5 uuid version.
>>> And, finally, there more interesting notes about some of the esoteric 
>>> details of the node-id representation
>>> and the way it is calculated to disambiguate it from any legal 802 MAC 
>>> hardware address.  And more.... ;)
>>>
>>>
>>> ======================================================================
>>>
>>> user> (criterium/bench (uuid/v1))
>>>
>>> Evaluation count: 139356300 in 60 samples of 2322605 calls.
>>> Execution time mean: 443.707611 ns
>>>
>>>
>>> user> (criterium/bench (java.util.UUID/randomUUID))
>>>
>>> Evaluation count : 30850980 in 60 samples of 514183 calls.
>>> Execution time mean : 2.012861 µs
>>>
>>>
>>>

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