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RELATIONAL ALGEBRA

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Title: RELATIONAL ALGEBRA


1
RELATIONAL ALGEBRA
Lecture 8
CS157A
  • Prof. Sin-Min LEE
  • Department of Computer Science

2
Database Scheme
  • A relational database scheme, or schema,
    corresponds to a set of table definitions.
  • Eg product(p_id, name, category, description)
  • supply(p_id, s_id, qnty_per_month)
  • supplier(s_id, name, address, ph)
  • remember the difference between a DB instance
    and a DB scheme.

3
SAMPLE SCHEMAS AND INSTANCES
  • The Schemas
  • Sailors(sid integer, sname string, rating
    integer, age real)
  • Boats(bid integer, bname string, color string)
  • Reserves(sid integer, bid integer, day date)
  • The Instances

4
What is Relational Algebra?
  • Relational algebra is a procedural query
    language.
  • It consists of the select, project, union, set
    difference, Cartesian product, and rename
    operations.
  • Set intersection, division, natural join, and
    assignment combine the fundamental operations.
  • SQL is based on relational algebra

5

What are the query languages ?
  • It is an abstract language. We use it to express
    the set of operations that any relational query
    language must perform.
  • Two types of operations
  • 1.set-theoretic operations tables are
    essentially sets of rows
  • 2.native relational operations focus on the
    structure of the rows Query languages are
    specialized languages for asking questions,or
    queries,that involve the data in database.

6
Query languages
  • procedural vs. non-procedural
  • commercial languages have some of both
  • we will study
  • relational algebra (which is procedural, i.e.
    tells you how to process a query)
  • relational calculus (which is non-procedural i.e.
    tells what you want)

7
SEMANTICS OF THE SAMPLE RELATIONS
  • Sailors Entity set lists the relevant
    properties of sailors.
  • Boats Entity set lists the relevant properties
    of boats.
  • Reserves Relationship set links sailors and
    boats by describing the boat number and date for
    which a sailor made a reservation.
  • Example of the declarative sentences for which
    rows stand
  • Row 1 Sailor 22 reserved boat number 101
    on 10/10/98.

8
Selection and Projection
  • Selection Operator sratinggt8 (S2)
  • Retrieves from the current instance of relation
    named S2 those rows where the value of the
    attribute rating is greater than 8.
  • Applying the above selection operator to the
    sample instance of S2 shown in figure 4.2 yields
    the relational instance on figure 4.4 as shown
    below
  • p

condition
9
  • Projection Operator psname,rating(S2)
  • Retrieves from the current instance of the
    relation named S2 those columns whose names are
    sname and rating.
  • Applying the above operator to the sample
    instance of S2 shown in figure 4.2 yields the
    relational instance on figure 4.5 as shown below

N. B. Note that the projection operator can
produce duplicate rows in the resulting instance.
10
  • - Projection Operator (contd)
  • Similarly page(S2) yields the
    following relational instance

Note here the elimination of duplicates
SQL would yield For page (S2)
age
35.0
55.0
35.0
35.0
11
Introduction
  • one of the two formal query languages of the
    relational model
  • collection of operators for manipulating
    relations
  • Operators two types of operators
  • Set Operators Union(?),Intersection(?),
    Difference(-), Cartesian Product (x)
  • New Operators Select (?), Project (?), Join (?)

12
Introduction contd
  • A Relational Algebra Expression a sequence of
    relational algebra operators and operands
    (relations), formed according to a set of rules.
  • The result of evaluating a relational algebra
    expression is a relation.

13
Selection
  • Denoted by ?c(R)
  • Selects the tuples (rows) from a relation R that
    satisfy a certain selection condition c.
  • It is a unary operator
  • The resulting relation has the same attributes as
    those in R.

14
Example 1
S
SNO SNAME AGE STATE
S1 MIKE 21 IL
S2 STEVE 20 LA
S3 MARY 18 CA
S4 MING 19 NY
S5 OLGA 21 NY
  • ?stateIL(S)

15
Example 2
  • ?CREDIT ? 3(C)

CNO CNAME CREDIT DEPT
C1 Database 3 CS
C2 Statistics 3 MATH
C3 Tennis 1 SPORTS
C4 Violin 4 MUSIC
C5 Golf 2 SPORTS
C6 Piano 5 MUSIC
C
16
Example 3
  • ?SNOS1and CNOC1(E)

E
SNO CNO Grade
S1 C1 90
S1 C2 80
S1 C3 75
S1 C4 70
S1 C5 100
S1 C6 60
S2 C1 90
S2 C2 80
S3 C2 90
S4 C2 80
S4 C4 85
S4 C5 100
17
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18
Selection - Properties
  • Selection Operator is commutative
  • ?C1(?C2 (R)) ?C2(?C1 (R))
  • The Selection is an unary operator, it cannot be
    used to select tuples from more than one
    relations.

19
Projection
  • Denoted by ?L(R), where L is list of attribute
    names and R is a relation name or some other
    relational algebra expression.
  • The resulting relation has only those attributes
    of R specified in L.
  • The projection is also an unary operation.
  •  Duplicate rows are not permitted in relational
    algebra. Duplication is removed from the result.
  • Duplicate rows can occur in SQL, though they may
    be controlled by explicit keywords.

20
Projection - Example
  • Example 1 ?STATE (S)

SNO SNAME AGE STATE
S1 MIKE 21 IL
S2 STEVE 20 LA
S3 MARY 18 CA
S4 MING 19 NY
S5 OLGA 21 NY
STATE
IL
LA
CA
NY
21
Projection - Example
  • Example 2 ?CNAME, DEPT(C)

CNO CNAME CREDIT DEPT
C1 Database 3 CS
C2 Statistics 3 MATH
C3 Tennis 1 SPORTS
C4 Violin 4 MUSIC
C5 Golf 2 SPORTS
C6 Piano 5 MUSIC
CNAME DEPT
Database CS
Statistics MATH
Tennis SPORTS
Violin MUSIC
Golf SPORTS
Piano MUSIC
22
Projection - Example
  • Example 3 ?S(?STATENY'(S))

SNO SNAME AGE STATE
S1 MIKE 21 IL
S2 STEVE 20 LA
S3 MARY 18 CA
S4 MING 19 NY
S5 OLGA 21 NY
SNO
S4
S5
23
SET Operations
  • UNION R1 ? R2
  • INTERSECTION R1 ? R2
  • DIFFERENCE R1 - R2
  • CARTESIAN PRODUCT R1 ? R2

24
Union Compatibility
  • For operators ?, ?, -, the operand relations
    R1(A1, A2, ..., An) and R2(B1, B2, ..., Bn) must
    have the same number of attributes, and the
    domains of the corresponding attributes must be
    compatible that is, dom(Ai)dom(Bi) for
    i1,2,...,n.
  • The resulting relation for ?, ?, or - has the
    same attribute names as the first operand
    relation R1 (by convention).

25
Union Compatibility - Examples
  • Are S(SNO, SNAME, AGE, STATE) and C(CNO, CNAME,
    CREDIT, DEPT) union compatible?
  • Are S(S, SNAME, AGE, STATE) and C(CNO, CNAME,
    CREDIT_HOURS, DEPT_NAME) union compatible?

26
FUNCTIONAL APPLICATION OF SELECTION AND
PROJECTION OPERATORS
  • The selection and projection operators can be
    applied successively as many times as desired in
    the usual functional denotation as illustrated
    below.
  • Thus the expression
  • psname,rating(sratinggt8(S2))
  • yields the following relational instance

27
SET OPERATIONS
  • The following set operations are also available
    in relational algebra
  • Union
  • Intersection
  • Set-difference
  • Cross-product
  • N.B.
  • (1) The asterisks indicate operations whose
    operand relations must be union-compatible. Two
    relation instances are said to be
    union-compatible if
  • - they have the same number of fields,
  • - corresponding fields have the same domains.
  • - they have the same semantics.
  • (2) The results of set operations on sets and
    multisets are different, therefore we shall
    examine both of these separately.

28
EXAMPLES OF SET OPERATIONS ON RELATIONS
  • Union Given the sample instances S1 and S2

The union of S1 and S2, i.e. S1 ? S2 is shown
below
29
  • Given the two sample relational instances

We can form Intersection S1nS2
Set-Difference S1 S2
30
  • Given the two relational samples S1 and S2

We can form the Cross-product S1? R1
of col. ( col. S1) ( col. R1) of rows
( rows S1)?( rowsR1)
31
SPECIAL RELATIONAL OPERATORS
  • The following operators are peculiar to
    relations
  • - Join operators
  • There are several kind of join operators. We only
    consider three of these here (others will be
    considered when we discuss null values)
  • - (1) Condition Joins
  • - (2) Equijoins
  • - (3) Natural Joins
  • - Division

32
JOIN OPERATORS
  • Condition Joins
  • - Defined as a cross-product followed by a
    selection
  • R ?c S sc(R ? S)
    (? is called the bow-tie)
  • where c is the condition.
  • - Example
  • Given the sample relational instances S1 and R1

The condition join S ?S1.sidltR1.sid R1 yields
33
  • Equijoin
  • Special case of the condition join where the join
    condition consists solely of equalities between
    two fields in R and S connected by the logical
    AND operator (?).
  • Example Given the two sample relational
    instances S1 and R1

The operator S1 R.sidSsid R1 yields
34
  • Natural Join
  • - Special case of equijoin where equalities are
    implicitly specified on all fields having the
    same name in R and S.
  • - The condition c is now left out, so that the
    bow tie operator by itself signifies a natural
    join.
  • - N. B. If the two relations have no attributes
    in common, the natural join is simply the
    cross-product.

35
DIVISION
  • - The division operator is used for queries which
    involve the all
  • qualifier such as Find the names of sailors who
    have reserved all boats.
  • - The division operator is a bit tricky to
    explain, and perhaps best approached through
    examples as will be done here.

36
EXAMPLES OF DIVISION

37
DIVISION
  • Interpretation of the division operation A/B
  • - Divide the attributes of A into 2 sets A1 and
    A2.
  • - Divide the attributes of B into 2 sets B2 and
    B3.
  • - Where the sets A2 and B2 have the same
    attributes.
  • - For each set of values in B2
  • - Search in A2 for the sets of rows (having the
    same A1 values) whose A2 values (taken together)
    form a set which is the same as the set of B2s.
  • - For all the set of rows in A which satisfy the
    above search, pick out their A1 values and put
    them in the answer.

38
DIVISION
  • Example Find the names of sailors who have
    reserved all boats
  • (1) A ?sid,bid(Reserves). A1 ?sid(Reserves)
    A2 ?bid(Reserves)
  • (2) B2 ?bid(Boats) B3 is the rest of B.
  • Thus, B2 101, 102, 103, 104
  • (3) Find the rows of A such that their A.sid is
    the same and their combined A.bid is the set B2.
  • Thus we find A1 22
  • (4) Get the set of A2 corresponding to A1 A2
    Dustin

39
FORMAL DEFINITION OF DIVISION
  • The formal definition of division is as follows
  • A/B ?x(A) - ?x((?x(A) ? B) A)

40
EXAMPLES OF ALGEBRA QUERIES
  • In the rest of this chapter we shall illustrate
    queries using the following new instances S3 of
    sailors, R2 of Reserves and B1 of boats.

41
QUERY Q1
  • Given the relational instances

(Q1) Find the names of sailors who have reserved
boat 103 ?sname((sbid103 Reserves) ? Sailors)
The answer is thus the following relational
instance ltDustingt, ltLubbergt, ltHoratiogt
42
QUERY Q1 (contd)
  • There are of course several ways to express Q1 in
    relational algebra.
  • Here is another
  • ?sname(sbid103(Reserves? Sailors))

Which of these expressions should we use? That is
a question of optimization. Indeed, when we
describe how to state queries in SQL, we can
leave it to the optimizer in the DBMS to select
the nest approach.
43
QUERY Q2
  • (Q2) Find the names of sailors who have reserved
    a red boat.

?sname((scolorredBoats) ? Reserves ? Sailors)

44
QUERY Q3
  • (Q3) Find the colors of boats reserved by Lubber.

?color((ssnameLubberSailors)Sailors ? Reserves
? Boats)
45
QUERY Q4
  • (Q4) Find the names of Sailors who have reserved
    at least one boat

?sname(Sailors ? Reserves)
46
QUERY Q5
  • (Q5) Find the names of sailors who have reserved
    a red or a green boat.

?(Tempboats, (scolorredBoats) ?
(scolorgreenBoats))
?sname(Tempboats ? Reserves ? Sailors)
47
QUERY Q6
  • (Q6) Find the names of Sailors who have reserved
    a red and a green boat.
  • It seems tempting to use the expression used in
    Q5, replacing simply ? by n. However, this wont
    work, for such an expression is requesting the
    names of sailors who have requested a boat that
    is both red and green! The correct expression is
    as follows
  • ?(Tempred, ?sid((scolorredBoats) ?
    Reserves))
  • ?(Tempgreen, ?sid((scolorgreenBoats
    ) ? Reserves))
  • ?sname ((Tempred n Tempgreen) ?
    Sailors)

48
QUERY Q7
  • (Q7) Find the names of sailors who have reserved
    at least two boats.

?(Reservations, ?sid,sname,bid(Sailors ?
Reserves)) ?(Reservationpairs(1?sid1, 2?sname,
3?bid1, 4?sid2, 5?sname, 6?bid2),
Reservations?Reservations) ?sname1s(sid1sid2)?(bi
d1?bid2)Reservationpairs)
49
QUERY 8
  • (Q8) Find the sids of sailors with age over 20
    who have not reserved a red boat.

?sid(sagegt20Sailors) - ?sid((scolorredBoats) ?
Reserves ? Sailors)
50
QUERY 9
  • (Q) Find the names of sailors who have reserved
    all boats.

?(Tempsids, (?sid,bidReserves) /
(?bidBoats)) ?sname(Tempsids ? Sailors
51
QUERY Q10
  • (Q10) Find the names of sailors who have reserved
    all boats called Interlake.

?(Tempsids, (?sid,bidReserves)/(?bid(sbnameInter
lakeBoats))) ?sname(Tempsids ? Sailors)
52
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53
Union, Intersection, Difference
  • T R U S A tuple t is in relation T if and only
    if t is in relation R or t is in relation S
  • T R ? S A tuple t is in relation T if and only
    if t is in both relations R and S
  • T R - S A tuple t is in relation T if and only
    if t is in R but not in S

54
Set-Intersection
  • Denoted by the symbol ?.
  • Results in a relation that contains only the
    tuples that appear in both relations.
  • R ? S R (R S)
  • Since set-intersection can be written in terms of
    set-difference, it is not a fundamental operation.

55
Examples
R
S
A1 A2
1 Red
3 White
4 green
B1 B2
3 White
2 Blue
56
Examples
R ? S
R ?S
A1 A2
1 Red
3 White
4 Green
2 Blue
A1 A2
3 White
R - S
A1 A2
1 Red
4 Green
S - R
B1 B2
2 Blue
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