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Mike Ross (8/3/2009)
Jeff Moden (8/3/2009)
Heh... What side effects? The function is the one with "side effects". You can't raise the proper error if you need it. The function also has the side effect of being slower even if it's just a bit so. The inmemory solution isn't actually faster as you stated... not even on your box. Whatever. Thanks for running the test, Mike. Ha ha. Fire off a bunch of diskintensive tasks and then try your "test" again. The function is faster where it counts, on our production system. Even if it wasn't, the reduced dependencies make it worth it. A "side effect" is not where one method runs less than 10ms faster under a very contrived and unrealistic test. Nor is it one of the many design limitations in SQL2000. A side effect and dependency is having one more, completely unnecessary, table to: script, track, and manage. Haven't you ever had a DBA or developer change the contents of a table on you, for very goodseeming reasons? Or use an undocumented table? Our functions are handled very well by source control. Further, if someone changes the function code, the interface and results stay the same  no side effects. I suppose we could try to put table contents under source control, but that seems absurd and has not been necessary for anything else.
Heh... you and I certainly have different ideas as to what a side effect may be. We also have different ideas what a DBA is allowed to do or not. We also keep source control for all such reference/tool tables and the code that generates their initial values.
You never did say... which RDBMS are you using on the nonMS servers?
Jeff Moden "RBAR is pronounced "reebar" and is a "Modenism" for "RowByAgonizingRow".
First step towards the paradigm shift of writing Set Based code: Stop thinking about what you want to do to a row... think, instead, of what you want to do to a column."
(play on words) "Just because you CAN do something in TSQL, doesn't mean you SHOULDN'T." 22 Aug 2013
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SSCommitted
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Just curious if there's any word yet on when the winner will be announced...
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We're aiming for Monday. That's the date we originally promised, not quite realizing how many entries there would be!
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Hey! How is it going? When will we have any interesting news?




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I decided to use Sequence table only. I have two methods on the implementation of same algorithm. One is using set operations while the other is using a WHILE loop.
Thsi is the algorithm: Remove1 and Start from 2, remove all multiples of each number and get the rest. Finally I will select the remaining numbers;
 Method 1: Using WHILE LOOP DECLARE @n int, @i int SELECT @n = FLOOR(SQRT(MAX(Seq))) FROM sequence;
DELETE sequence WHERE Seq = 1; SET @i=2; WHILE @i <=@n BEGIN DELETE sequence WHERE seq % @i = 0 AND seq >= @i*@i; SELECT @i = MIN(seq) FROM sequence WHERE seq > @i; END SELECT * FROM sequence;
 Method 2: SET Based Delete DECLARE @n int; SELECT @n = FLOOR(SQRT(MAX(Seq))) FROM sequence; DELETE sequence WHERE seq =1;
DELETE b FROM sequence a INNER JOIN sequence b ON a.seq<= FLOOR(SQRT(b.seq)) AND b.seq %a.seq =0;
SELECT * FROM sequence;
Both methods, When I compared for 100,000 numbers, perform under 1.5 seconds. The first method was slightly faster around (100 milli seconds) Even though I expected the first method to be using more resources due to multiple deletes, It had a total of 7,887 logical reads while the second method had 663,523 logical reads. It also created a worktable. The reason is the first method effectively removes all nonprimary numbers. Note: All calculations are only for the code submitted here. (Creation of the sequence table and populating data are excluded for calculations).
I will go for the first method.
Cheers, Prithiviraj Kulasingham
http://preethiviraj.blogspot.com/




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The problem with the first method is you are assuming a sequence table is already there, and that removing entries from it isn't an issue. If the sequence table is existing, then it can be assumed it sould be left asis or at least reconstructed at the end, otherwise it wouldn't have been in existance in the first place.
Also, we ended up going with 10,000,000 as a figure to reach because lower figures were too fast to compare.




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This is about the simplest method I can think of. Executes for about 1.5 seconds to get all primes below 1,000,000.
CREATE TABLE #Numbers ( Prime INT NOT NULL, Number BIGINT PRIMARY KEY CLUSTERED );
DECLARE @Max INT = 1000000;
WITH n0(p) AS ( SELECT 1 UNION ALL SELECT 1 ), n1(p) AS ( SELECT 1 FROM n0 AS a CROSS JOIN n0 AS b ),n2(p) AS ( SELECT 1 FROM n1 AS a CROSS JOIN n1 AS b ),n3(p) AS ( SELECT 1 FROM n2 AS a CROSS JOIN n2 AS b ),n4(p) AS ( SELECT 1 FROM n3 AS a CROSS JOIN n3 AS b ),n5(p) AS ( SELECT 1 FROM n4 AS a CROSS JOIN n4 AS b ) INSERT #Numbers ( Prime, Number ) SELECT f.Prime, f.Prime * f.Prime AS Number FROM ( SELECT TOP (1 + @Max / 30) 30 * ROW_NUMBER() OVER (ORDER BY p) FROM n5 ) AS v(Value) CROSS APPLY ( VALUES (v.Value  23), (v.Value  19), (v.Value  17), (v.Value  13), (v.Value  11), (v.Value  7), (v.Value  1), (v.Value + 1)
) AS f(Prime) WHERE f.Prime <= @Max;
SELECT Prime FROM ( VALUES (2), (3), (5) ) AS v(Prime) WHERE Prime <= @Max
UNION ALL
SELECT n.Prime FROM #Numbers AS n WHERE NOT EXISTS ( SELECT * FROM #Numbers AS p WHERE p.Number <= n.Prime AND n.Prime % p.Prime = 0 )
DROP TABLE #Numbers;
N 56°04'39.16" E 12°55'05.25"



