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CSE544

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Title: CSE544


1
CSE544
  • Wednesday, March 29, 2006

2
Theory
  • Relational databases invented by a theoretician
    (Codd)
  • Fundamental principle separate the WHAT from the
    HOW - data independence
  • WHAT First Order Logic (FO)
  • HOW Relational algebra (RA)

3
FO Syntax
  • Given
  • A vocabulary R1, , Rk
  • An arity, ar(Ri), for each i1,,k
  • An infinite supply of variables x1, x2, x3,
  • Constants c1, c2, c3, ...

4
FO Syntax
  • Terms (t) and FO formulas (?) are
  • t x c
  • R(t1, ..., tar(R)) ti tj
  • ? ? ? ? ? ? ??
  • ?x.? ?x.?

5
FO Examples
Most interesting case Vocabulary one binary
relation R (encodes a graph)
1
4
2
3
1 2
2 1
2 3
1 4
3 4
R
6
FO Sentences
  • Does there exists a loop in the graph ?
  • Are there paths of length gt2 ?
  • Is there a sink node ?

? ? ?x.R(x,x)
? ? ?x.?y.?z.?u.(R(x,y) ? R(y,z) ? R(z,u))
? ? ?x.?y.R(x,y)
7
Semantics
  • Given a vocabulary R1, , Rk
  • A model is D (D, R1D, , RkD)
  • D a set, called domain, or universe
  • RiD ? D ? D ? ... ? D, (ar(Ri) times) i
    1,...,k

8
Semantics
  • Given
  • A model D (D, R1D, ..., RkD)
  • A formula ?
  • A substitution s x1, x2, ... ? D
  • We define next the relationmeaning D
    satisfies with s

D ?s
9
Semantics
D (R(t1, ..., tn)) s
If (s(t1), ..., s(tn)) ? RD
D (t t) s
If s(t) s(t)
10
Semantics
D (? ? ?) s
If D (?)s and D (?) s
D (? ? ?) s
If D (?)s or D (?) s
D (??) s
If not D (?)s
11
First Order Logic Semantics
If for all s s.t. s(y) s(y) for all variables
y other than x, D (?)s
D (?x.?) s
D (?x.?) s
If for some s s.t. s(y) s(y) for
all variables y other than x, D (?)s
12
FO and Databases
  • FOa sentence ? is true in D if D ?
  • Databasesa formula ? with free variables x1,
    ..., xn defines the query ?(D) (s(x1), ...,
    s(xn)) D ?s

13
FO Queries
  • Find all nodes connected by a path of length 2
  • Find all nodes without outgoing edges

?(x,y) ? ?u.(R(x,u) ? R(u,y))
?(x) ? ?u.(R(u,x) ? ?y.?R(x,y)
These are open formulas
14
In Class
  • Retrieve all nodes with at least two children
  • A node x is more important than y if every child
    of y is also a child of x. Retrieve all most
    important nodes in the graph

15
FO in Databases
FO Databases
Vocabulary R1, ..., Rn Database schema R1, ..., Rn
ModelD (D, R1D, , RkD) Database instanceD (D, R1D, , RkD)
Sentences are true or false Formulas compute queries
16
FO Semantics
  • In FO we express WHAT we want
  • Sometimes its even unclear HOW to get it
  • See accompanying slides on FO semantics
  • They explain HOW to get it, but its impractical

17
Relational Algebra
  • An algebra over relations
  • Five operators
  • ?, -, ?, s, P
  • Meaning

R1 ? R2 set union R1 - R2 set difference R1 ?
R2 cartesian product sc(R) subset of tuples
satisfying condition c Pa(R) projection on the
attributes in a
18
FO ? RA
P1(s12(R))
?(x) ? R(x,x)
?
?(x,y) ? ?z.?u.(R(x,z) ? R(z,u) ? R(u,y))
?
P16(s23?45 (R ? R ? R))
P16 ((R join21 R) join41 R))
?
?(x) ? ?y.R(x,y)
?
WHAT
?
HOW
19
FO v.s. RA
  • Theorem. Every query in RA can be expressed in
    FO
  • Proof
  • This shows how to go from HOW to WHAT
  • not very interesting
  • What about the converse ?

20
The Drinkers/Beers Example
  • Vocabulary
  • Find all drinkers that frequent some bar that
    serve some beer that they like

Likes(drinker,beer), Serves(bar,beer),
Frequents(drinker,bar)
?(d) ? ?ba. ?be.(F(d,ba) ? L(d,be))
21
Lots of Fun Examples (in class)
  • Find drinkers that frequent some bar that serves
    only beer they like
  • Find drinkers that frequent only bars that serve
    some beer they like
  • Find drinkers that frequent only bars that serve
    only beer they like

22
Unsafe FO Queries
  • Find all nodes that are not in the
    graphwhats wrong ?

23
Unsafe FO Queries
  • Find all nodes that are connected to
    everythingwhats wrong ?

24
Unsafe FO Queries
  • Find all pairs of employees or officeswhats
    wrong ?
  • We dont want such queries !

25
Safe Queries
  • A model D (D, R1D, , RkD)
  • In FO
  • both D and R1D, , RkD may be infinite
  • In databases
  • D may infinite (int, string, etc)
  • R1D, , RkD are always finite
  • We call this a finite model

26
Safe Queries
  • ? is a finite query if for every finite model D,
    ?(D) is finite
  • ? is safe, or domain independent, if for every
    two models D, D having the same relations
    D (D, R1D, , RkD), D (D, R1D, , RkD)we
    have ?(D) ?(D)
  • If ? is safe then it is also finite (why ?)
  • Note book has different but equivalent definition

27
Safe Queries
  • Definition. Given D (D, R1D, , RkD), the
    active domain is Da the set of all constants in
    R1D, , RkD
  • Example. Given a graph D (D, R) Da x
    ?y.R(x,y) ? ?z.R(z,x)
  • Property. If a query is safe, it suffices to
    range quantifiers only over the active domain
    (why ?)
  • Hence we can compute safe queries

28
Safe Queries
  • The safe relational calculus consists only of
    safe queries. However
  • Theorem It is undecidable if a given a FO query
    is safe.
  • Need to write only safe queries, but how do we
    know how which queries are safe ?
  • Work around write them in an obviously safe way
  • Range restricted queries - formally defined in
    AHU

29
FO v.s. RA
  • Theorem. Every safe query in FO can be expressed
    in RA
  • Proof
  • From WHAT to HOW
  • this is really interesting and motivated the
    relational model

30
Limited Expressive Power
  • Vocabulary binary relation R
  • The following queries cannot be expressed in FO
  • Transitive closure
  • ?x.?y. there exists x1, ..., xn s.t.R(x,x1) ?
    R(x1,x2) ? ... ? R(xn-1,xn) ? R(xn,y)
  • Parity the number of edges in R is even
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