UDF to generate 4-Digit Positive Random Number

Hi,
I want to generate 4-Digit Positive Random Number in the Mapping for a field. Could anyone please provide Inputs or a UDF.
Regards,
Varun

This is the UDF I have Used
java.util.Random randomNumber;
String TransactionId = "" ;
randomNumber = new Random();
long longNumber = randomNumber.nextLong();
                          if (longNumber < 0)
                              longNumber = longNumber * (-1);
                           longNumber += 10000;
TransactionId = (String.valueOf(longNumber)).substring(0, 4);
return TransactionId ;
Thanks everyone for your Inputs

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7 digit unique random number

I would like to generate 7 digit unique random number. I have it something like this :
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This is not a horrible solution but an intelligent &
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return generator.nextInt(10000000);Though the orginal post does not specify this as part of the problem others have assumed (probably correctly) that in fact the poster wants a number between 1000000 and 9999999 (inclusive) which can easily be produced with the following modification to the above.
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pvmk wrote:
Is there any alternate logic to generate 8 digit random numberAs already implied
if you want random numbers in the range [10000000;99999999]
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Ideas on generating seeds for random number generators?

Does anyone here have any ideas or know of any good links to articles that discuss how to generate good seeds for random number generators?
I am aware that I could always probably call SecureRandom.generateSeed as one technique.
The major problem that I have with the above is that I have no idea how any given implementation of SecureRandom works, and whether or not it is any good. (For instance, Sun seems to hide their implementation outside of the normal JDK source tree; must be in one of their semi-proprietary sun packages...)
I thought about the problem a little, and I -think- that the implementation below ought to be OK. The javadocs describe the requirements that I am looking for as well as the implementation. The only issue that still bugs me is that maybe the hash function that I use is not 1-1, and so may not guarantee uniqueness, so I would especially like feedback on that.
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Correct me if I'm incorrect, but doesn't SecureRandom just access hardware sources entropy? Sources like /dev/random?What do you mean by hardware sources of entropy?
What you really want is some physical source of noise, like voltage fluctuations across a diode, or Johnson noise, or certain radioactive decay processes; see, for example
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     http://ietfreport.isoc.org/idref/draft-eastlake-randomness2/
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But is /dev/random equivalent to the above? Of course, this totally depends on how it is implemented; the 2nd paper cited above gives some more discussion:
     http://ietfreport.isoc.org/idref/draft-eastlake-randomness2/#page-34
I am not sure if using inputs like keyboard, mouse, and disk events is quite as secure as, say, using Johnson noise; if my skimming of that paper is correct, he concludes that you need as many different partially random sources as possible, and even then "A hardware based random source is still preferable" (p. 13). But he appears to say that you can still do pretty good with these these sources if you take care and do things like deskew them. For instance, the common linix implementation of /dev/random at least takes those events and does some sophisticated math and hashing to try to further scramble the bits, which is what I am trying to simulate with my hashing in my makeSeed method.
I don't think Java can actually do any better than the time without using JNI. But I always like to be enlightened; is there a way for the JVM to generate some quality entropy?Well, the JVM probably cannot beat some "true" hardware device like diode noise, but maybe it can be as good as /dev/random: if /dev/random is relying on partially random events like keyboard, mouse, and disk events, maybe there are similar events inside the JVM that it could tap into.
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news:[email protected]..
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>
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> Thanks,
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Message Edited by altenbach on 04-12-2010 09:13 PM
LabVIEW Champion . Do more with less code and in less time .
Attachments:
BoxMuller.vi ‏10 KB

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UDF to generate 4-Digit Positive Random Number

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