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base Management Systems 3ed, R. Ramakrishnan and J. Gehrke Relational Algebra Chapter 4
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Relational Algebra

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Relational Algebra. Chapter 4. Relational Query Languages. Query languages : Allow manipulation and retrieval of data from a database. Relational model supports simple, powerful QLs: Strong formal foundation based on algebra/logic. Allows for much optimization. - PowerPoint PPT Presentation
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Page 1: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1

Relational Algebra

Chapter 4

Page 2: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 2

Relational Query Languages Query languages: Allow manipulation and

retrieval of data from a database. Relational model supports simple, powerful

QLs: Strong formal foundation based on algebra/logic. Allows for much optimization.

Page 3: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 3

Formal Relational Query Languages Two mathematical Query Languages

form the basis for “real” languages (e.g. SQL), and for implementation: Relational Algebra: More operational, very

useful for representing execution plans. Relational Calculus: Lets users describe

what they want, rather than how to compute it. (Non-operational, declarative.) We’ll skip this for now.

Page 4: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 4

Overview

Notation Relational Algebra Relational Algebra basic operators. Relational Algebra derived operators.

Page 5: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 5

Preliminaries A query is applied to relation instances,

and the result of a query is also a relation instance. Schemas of input relations for a query are

fixed The schema for the result of a given query is

also fixed! Determined by definition of query language constructs.

Page 6: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 6

Preliminaries

Positional vs. named-attribute notation: Positional notation

• Ex: Sailor(1,2,3,4)• easier for formal definitions

Named-attribute notation• Ex: Sailor(sid, sname, rating,age)• more readable

Advantages/disadvantages of one over the other?

Page 7: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 7

Example Instances

sid sname rating age22 dustin 7 45.031 lubber 8 55.558 rusty 10 35.0

sid sname rating age28 yuppy 9 35.031 lubber 8 55.544 guppy 5 35.058 rusty 10 35.0

sid bid day22 101 10/10/9658 103 11/12/96

R1

S1

S2

“Sailors” and “Reserves” relations for our examples.

We’ll use positional or named field notation.

Assume that names of fields in query results are `inherited’ from names of fields in query input relations.

Page 8: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 8

Relational Algebra

Page 9: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 9

Algebra In math, algebraic operations like +, -,

x, /. Operate on numbers: input are numbers,

output are numbers. Can also do Boolean algebra on sets,

using union, intersect, difference. Focus on algebraic identities, e.g.

x (y+z) = xy + xz. (Relational algebra lies between propositional and 1st-

order logic.) 3

47

Page 10: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 10

Relational Algebra Every operator takes one or two relation

instances A relational algebra expression is

recursively defined to be a relation Result is also a relation Can apply operator to

• Relation from database• Relation as a result of another operator

Page 11: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 11

Relational Algebra Operations

Basic operations: Selection ( ) Selects a subset of rows from relation. Projection ( ) Deletes unwanted columns from relation. Cross-product ( ) Allows us to combine two relations. Set-difference ( ) Tuples in reln. 1, but not in reln. 2. Union ( ) Tuples in reln. 1 and in reln. 2.

Additional derived operations: Intersection, join, division, renaming: Not essential, but very

useful. Since each operation returns a relation, operations can

be composed! (Algebra is “closed”.)

Page 12: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 12

Basic Relational Algebra Operations

Page 13: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 13

Projectionsname ratingyuppy 9lubber 8guppy 5rusty 10

sname rating S, ( )2

age35.055.5

age S( )2

Deletes attributes that are not in projection list.

Schema of result contains exactly the fields in the projection list, with the same names that they had in the (only) input relation.

Projection operator has to eliminate duplicates! (Why??) Note: real systems typically

don’t do duplicate elimination unless the user explicitly asks for it. (Why not?)

Page 14: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 14

Selection

rating S8 2( )

sid sname rating age28 yuppy 9 35.058 rusty 10 35.0

sname ratingyuppy 9rusty 10

sname rating rating S, ( ( ))8 2

Selects rows that satisfy selection condition.

No duplicates in result! (Why?) Schema of result identical to

schema of (only) input relation. Selection conditions:

simple conditions comparing attribute values (variables) and / or constants or

complex conditions that combine simple conditions using logical connectives AND and OR.

Page 15: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 15

Union, Intersection, Set-Difference

All of these operations take two input relations, which must be union-compatible: Same number of

fields. `Corresponding’ fields

have the same type. What is the schema of

result?

sid sname rating age22 dustin 7 45.031 lubber 8 55.558 rusty 10 35.044 guppy 5 35.028 yuppy 9 35.0

sid sname rating age31 lubber 8 55.558 rusty 10 35.0

S S1 2

S S1 2

sid sname rating age22 dustin 7 45.0

S S1 2

Page 16: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 16

Exercise on UnionNumber

shape holes

1 round 22 square 43 rectangl

e8

Blue blocks (BB)

Number

shape holes

4 round 25 square 46 rectangl

e8

bottom

top

4 24 66 2

Stacked(S)

1. Which tables are union-compatible?

2. What is the result of the possible unions?

Yellow blocks(YB)

Page 17: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 17

Cross-Product Each row of S1 is paired with each row of

R1. Result schema has one field per field of S1

and R1, with field names `inherited’ if possible. Conflict: Both S1 and R1 have a field

called sid.

( ( , ), )C sid sid S R1 1 5 2 1 1

(sid) sname rating age (sid) bid day22 dustin 7 45.0 22 101 10/ 10/ 9622 dustin 7 45.0 58 103 11/ 12/ 9631 lubber 8 55.5 22 101 10/ 10/ 9631 lubber 8 55.5 58 103 11/ 12/ 9658 rusty 10 35.0 22 101 10/ 10/ 9658 rusty 10 35.0 58 103 11/ 12/ 96

Renaming operator:

Page 18: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 18

Exercise on Cross-ProductNumber

shape holes

1 round 22 square 43 rectangl

e8

Blue blocks (BB)

Number

shape holes

4 round 25 square 46 rectangl

e8

bottom

top

4 24 66 2

Stacked(S)

1. Write down 2 tuples in BB x S.

2. What is the cardinality of BB x S?

Page 19: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 19

Derived Operators

Join and Division

Page 20: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 20

Joins Condition Join:

Result schema same as that of cross-product. Fewer tuples than cross-product, might be able to

compute more efficiently. How? Sometimes called a theta-join. Π-σ-x = SQL in a nutshell.

R c S c R S ( )

(sid) sname rating age (sid) bid day22 dustin 7 45.0 58 103 11/ 12/ 9631 lubber 8 55.5 58 103 11/ 12/ 96

11 .1.1 RS sidRsidS

Page 21: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 21

Exercise on JoinNumber

shape holes

1 round 22 square 43 rectangl

e8

Blue blocks (BB)

Number

shape holes

4 round 25 square 46 rectangl

e8

Yellow blocks(YB)

YBBB holesYBholesBB ..

Write down 2 tuples in this join.

Page 22: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 22

Joins Equi-Join: A special case of condition join where

the condition c contains only equalities.

Result schema similar to cross-product, but only one copy of fields for which equality is specified.

Natural Join: Equijoin on all common fields. Without specified, condition means the natural join of A and B.

sid sname rating age bid day22 dustin 7 45.0 101 10/ 10/ 9658 rusty 10 35.0 103 11/ 12/ 96

Page 23: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 23

Example for Natural JoinNumber

shape holes

1 round 22 square 43 rectangl

e8

Blue blocks (BB)

shape holesround 2square 4rectangle

8

Yellow blocks(YB)

What is the natural join of BB and YB?

Page 24: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 24

Join Examples

Page 25: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 25

Find names of sailors who’ve reserved boat #103

Solution 1: sname bid serves Sailors(( Re ) )103

Solution 2: ( , Re )Temp servesbid1 103

( , )Temp Temp Sailors2 1 sname Temp( )2

Solution 3: sname bid serves Sailors( (Re ))103

Page 26: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 26

Exercise: Find names of sailors who’ve reserved a red boat

Information about boat color only available in Boats; so need an extra join: sname color red Boats serves Sailors(( ' ' ) Re )

A more efficient solution: sname sid bid color red Boats s Sailors( (( ' ' ) Re ) )

A query optimizer can find this, given the first solution!

Page 27: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 27

Find sailors who’ve reserved a red or a green boat

Can identify all red or green boats, then find sailors who’ve reserved one of these boats: ( , ( ' ' ' ' ))Tempboats color red color green Boats

sname Tempboats serves Sailors( Re )

Can also define Tempboats using union! (How?) What happens if is replaced by in this query?

Page 28: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 28

Exercise: Find sailors who’ve reserved a red and a green boat

Previous approach won’t work! Must identify sailors who’ve reserved red boats, sailors who’ve reserved green boats, then find the intersection (note that sid is a key for Sailors): ( , (( ' ' ) Re ))Tempred sid color red Boats serves

sname Tempred Tempgreen Sailors(( ) )

( , (( ' ' ) Re ))Tempgreen sid color green Boats serves

Page 29: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 29

Division Not supported as a primitive operator, but

useful for expressing queries like: Find sailors who have reserved all boats.

Typical set-up: A has 2 fields (x,y) that are foreign key pointers, B has 1 matching field (y).

Then A/B returns the set of x ’s that match all y values in B.

Example: A = Friend(x,y). B = set of 354 students. Then A/B returns the set of all x’s that are friends with all 354 students.

Page 30: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 30

Examples of Division A/Bsno pnos1 p1s1 p2s1 p3s1 p4s2 p1s2 p2s3 p2s4 p2s4 p4

pnop2

pnop2p4

pnop1p2p4

snos1s2s3s4

snos1s4

snos1

A

B1B2

B3

A/B1 A/B2 A/B3

Page 31: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 31

Find the names of sailors who’ve reserved all boats

Uses division; schemas of the input relations to / must be carefully chosen:

( , ( , Re ) / ( ))Tempsids sid bid serves bid Boats

sname Tempsids Sailors( )

To find sailors who’ve reserved all ‘red boats:.....

Page 32: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 32

Division in General In general, x and y can be any lists of fields; y

is the list of fields in B, and (x,y) is the list of fields of A.

Then A/B returns the set of all x-tuples such that for every y-tuple in B, the tuple (x,y) is in A.

Page 33: Relational Algebra

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 33

Summary

The relational model has rigorously defined query languages that are simple and powerful.

Relational algebra is more operational; useful as internal representation for query evaluation plans.

Several ways of expressing a given query; a query optimizer should choose the most efficient version.

Book has lots of query examples.