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# Estimating size of tuples

Posted on 2011-09-04
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If I have to estimate a size of tuples. Would I multiply them together? I am unsure how to approach this as I believe I would multiply them up. What strategy would you take with this? Thanks!

R1 has 1000, r2 has 1500, and r3 has 750
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Question by:Rowley4
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Expert Comment

ID: 36481799
can you please explain what you are trying to do
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Author Comment

ID: 36481810
Say r1 (ABC, r2 (CDE) and r3 (EF) with primary keys A C and E. I wanted to estimate the sizes of these tuples if r1 has 1000 r2 has 1500 and r3 has 750?
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Expert Comment

ID: 36481819

what is R1, R2, R3
are those tables? ABC, CDE, EF are columns? A C E are PK on each table?
R1 has 1000 means it has 1000 records (1000 unique A value)?

by tuple what do you mean, can you give samples...
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Author Comment

ID: 36481958
Yes, you are exactly correct on all your assumptions.

Suppose we have
R(a,b) with T(R) = 1000 and V(R,b) = 20
S(b,c) with T(S) = 2000, V(S,b) = 50, and V(S,c) = 100
U(c,d) with T(U) = 5000 and V(U,c) = 500
What is the estimated size of R    S    U?
First join R and S (on attribute b):
estimated size of result, X, is T(R)*T(S)/max(V(R,b),V(S,b)) = 40,000
by containment of value sets, number of values of c in X is the same as in S, namely 100
Then join X with U (on attribute c):
estimated size of result is T(X)*T(U)/max(V(X,c),V(U,c)) = 400,000
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Expert Comment

ID: 36482563
I am totally lost :)
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Accepted Solution

Dave Baldwin earned 500 total points
ID: 36482661

"In fact, Codd (and other relational database theorists) use the terms relations, attributes and tuples where most of us use the more common terms tables, columns and rows, respectively (or the more physical—and thus less preferable for discussions of database design theory—files, fields and records)."

I just saw this about 5 minutes ago.  Til then I didn't know what 'tuples' were about either.  I don't know that it will help to answer this question because I believe too of what @Rowley4 is saying is still undefined.  If he is trying to find out how storage is required, the answer is simply the number of rows times the average or estimated size of the data.
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