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Lecture 11

- Relational Algebra and Relational Calculus

Generations of Computer Languages

- What is the difference between 1GL, 2GL, 3GL, 4GL

and 5GLs? - 1GL Machine Language
- 2GL Assembly Language
- 3GL Procedural Languages
- high-level programming languages, such as C, C,

and Java - We must specify how things need to be done
- 4GL Non-procedural (declarative) Languages
- Most 4GLs are used to access databases
- We specify only what we want and not how to get

it - 5GL Natural languages
- English-like languages used to specify

requirements - E.g. FIND ALL RECORDS WHERE NAME IS "SMITH"
- Still have not matured enough

Relational Languages

- Data model includes a set of operations to

manipulate and access data in sthe database - Two formal languages for the relational model
- Relational Algebra
- Relational Calculus
- Relation Algebra
- Provides a formal foundation for relational model

operations - Used as a basis for implementing and optimizing

queries in RDBMSs - Some of concepts are now part of the SQL
- Standard query language for RDBMSs
- Query writing is based on relational calculus

Relational Algebra

- Relational algebra is a procedural language
- Operations divided into two groups
- Operations from mathematical set theory
- Union, Intersection, Set Difference, and

Cartesian Product - Additional operations developed for relational

databases - Select, Project, Join, divide, aggregate

functions, etc - The result of a retrieval is a new relation,

which may have been formed from one or more

relations - A sequence of relational algebra operations forms

a relational algebra expression - Result will also be a relation that represents

the result of a database query (or retrieval

request)

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Unary Relational Operations

- SELECT Operation
- Used to select a subset of the tuples from a

relation that satisfy a selection condition - It is a filter that keeps only those tuples that

satisfy a qualifying condition those satisfying

the condition are selected while others are

discarded - In general, the select operation is denoted by ?

ltselection conditiongt(R) - symbol ? (sigma) is used to denote the select

operator - selection condition is a Boolean expression

specified on the attributes of - ltattribute namegtltcomparison opgtltconstant valuegt
- ltattribute namegtltcomparison opgtlt attribute name gt
- Combined by AND, OR and NOT
- To select the EMPLOYEE tuples whose department

number is four - ?DNO 4 (EMPLOYEE)
- select the EMPLOYEE tuples whose salary is

greater than 30,000 - ? SALARY gt 30,000 (EMPLOYEE)

Unary Relational Operations

- SELECT Operation Properties
- The SELECT operation ? ltselection conditiongt(R)

produces a relation S that has the same schema as

R - Degree of S is the same as that of R
- Cardinality of S is less than or equal to that of

R - The SELECT operation ? is commutative
- ? ltcondition1gt(?lt condition2gt(R)) ?

ltcondition2gt (?ltcondition1gt (R)) - ?ltcondition1gt(?ltcondition2gt(?ltcondition3gt(R))?ltco

ndition2(?lt condition3gt (?ltcondition1gt( R))) - A cascaded SELECT operation may be replaced by a

single selection with a conjunction of all the

conditions - ?ltcondition1gt(? ltcondition2gt(? ltcondition3gt(R))

? ltcondition1gtANDlt condition2gt ANDltcondition3gt(R))

)

Unary Relational Operations

- PROJECT Operation
- Selects certain columns from the table and

discards the other columns - The PROJECT creates a vertical partitioning one

with the needed columns (attributes) containing

results of the operation and other containing the

discarded columns - The general form is ?ltattribute_listgt(R) where ?

(pi) is the symbol used to represent the project

operation and ltattribute_listgt is the desired

list of attributes from the attributes of

relation R - To list each employees first and last name and

salary, the following is used - ??LNAME, FNAME,SALARY(EMPLOYEE)

Unary Relational Operations

- Worry about ICs in result?
- Key
- Removes any duplicate tuples so the result of the

project operation is a set of tuples and hence a

valid relation - Otherwise, the result is NOT a relation but a

multiset or a bag - PROJECT Operation Properties
- The number of tuples in the result of projection

? ltlistgt (R) is always less or equal to the

number of tuples in R - When is it guaranteed to be equal?
- If the list of attributes includes a key of R
- ? ltlist1gt (? ltlist2gt (R) ) ? ltlist1gt (R) as

long as ltlist1gt contains the attributes in

ltlist2gt - Otherwise we have an error

Show the full name and salary of every employee.

Show the gender and salary of every employee.

Select employees in dep. 4 with salaries

exceeding 25000 or in dep. 5 with salaries

exceeding 30000

Select the gender and salary of all employees in

dep. 4 with salaries exceeding 25000 or in dep. 5

with salaries exceeding 30000

(No Transcript)

Unary Relational Operations

- We may want to apply several relational algebra

operations one after the other - a single relational algebra expression by nesting

the operations, - apply one operation at a time and create

intermediate result relations. - Must give names to the relations that hold the

intermediate results - To retrieve the first name, last name, and salary

of all employees who work in department 5, we

must apply select and project operations. - We can write a single relational algebra

expression as follows - ?FNAME, LNAME, SALARY(? DNO5(EMPLOYEE))
- OR We can explicitly show the sequence of

operations, giving a name to each intermediate

relation - TEMP ? ? DNO5(EMPLOYEE)
- R ? ? FNAME, LNAME, SALARY (TEMP)

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Unary Relational Operations

- Rename Operation
- The rename operator is ? (rho)
- The general Rename operation can be expressed by

any of the following forms - ?S(B1, B2, , Bn)(R) is a renamed relation S

based on R with column names B1, B1,..Bn - ?S(R) is a renamed relation S based on R
- does not specify column names
- Columns names dont change
- ?(B1, B2, , Bn )(R) is a renamed relation with

column names B1, B1, ..Bn which does not

specify a new relation name - does not specify a relation name
- Relation name not changed
- ?DEPT(DEPT_NAME, DEPT_NUMBER, MGRSSN,MGRSTARTDATE)

(DEPARTMENT)

Relational Algebra Operations From Set Theory

- UNION Operation
- Binary Operation
- The result of this operation, denoted by R?S, is

a relation that includes all tuples that are

either in R or in S or in both R and S - Duplicate tuples are eliminated by default
- To retrieve the social security numbers of all

employees who either work in department 5 or

directly supervise an employee who works in

department 5, we can use the union operation as

follows - DEP5_EMPS? ?DNO5(EMPLOYEE)
- RESULT1??SSN(DEP5_EMPS)
- RESULT2?? SUPERSSN(DEP5_EMPS)
- RESULT?RESULT1 ? RESULT2
- The union operation produces the tuples that are

in either RESULT1 or RESULT2 or both - R?S has all attributes of R
- The two operands must be type compatible (or

union compatible)

Relational Algebra Operations From Set Theory

- Type Compatibility
- The operand relations R1(A1, A2, ..., An) and

R2(B1, B2, ..., Bn) must have the same number of

attributes, and the domains of corresponding

attributes must be the same - That is, dom(Ai)dom(Bi) for i1, 2, ..., n
- The resulting relation for R1?R2,R1 ? R2, or

R1-R2 has the same attribute names as the first

operand relation R1 (by convention) - Compatibility must also exist for intersection

and difference - Commutative and associative
- R ? S S ? R
- R ? (S ? T) (R ? S) ? T

Relational Algebra Operations From Set Theory

- UNION

STUDENT?INSTRUCTOR

Relational Algebra Operations From Set Theory

- INTERSECTION OPERATION
- The result of this operation, denoted by R ? S,

is a relation that includes all tuples that are

in both R and S. - The two operands must be "type compatible
- Commutative and associative R ? S S ? R and (R

? S) ? T R ? (S ? T)

Relational Algebra Operations From Set Theory

- Set Difference (or MINUS) Operation
- The result of this operation, denoted by R - S,

is a relation that includes all tuples in R but

not in S - The two operands must be "type compatible
- Neither commutative and associative
- R - S ? S R
- (R - S) - T ? R (S T)

(No Transcript)

Operations From Set Theorys

- CARTESIAN (or cross product) Operation
- Combine tuples from two relations in a

combinatorial fashion - R(A1, A2, . . ., An) x S(B1, B2, . . ., Bm) is a

relation Q with - degree n m attributes Q(A1, A2, . . ., An, B1,

B2, . . ., Bm) - if R has nR tuples (cardinality of R denoted as

R nR ), and S has nS tuples, then R x S

will have nR nS tuples - The two operands do NOT have to be "type

compatible - Find the cross product between female employees

(Fname, LName and SSN) and dependents - FEMALE_EMPS ? ? SEXF(EMPLOYEE)
- EMPNAMES ? ? FNAME, LNAME,SSN (FEMALE_EMPS)
- EMP_DEPENDENTS ? EMPNAMES x DEPENDENT

To get employees dependants, SSNs must match

The rest are spurious

Binary Relational Operations

- JOIN Operation
- The CARTESIAN PRODUCT operation is rarely used on

its own because of - Spurious tuples
- Efficiency
- Usually followed by a SELECT operation to get

actual tuples - The sequence of cartesian product followed by

select is used quite commonly to identify and

select related tuples from two relations, a

special operation, called JOIN - Very important for any relational database with

more than one relation - Allows us to process relationships among

relations - Makes the Pk,Fk combinations effective (like a

physical link) - The general form of a join operation on two

relations R(A1, A2, . . ., An) and S(B1, B2, . .

., Bm) is - R ltjoin conditiongtS where R and S can be any

relations

Binary Relational Operations

- Retrieve the manager of each department
- we need to combine each DEPARTMENT tuple with the

EMPLOYEE tuple whose SSN value matches the MGRSSN

value in the department tuple - We do this by using the join operation
- DEPT_MGR ? DEPARTMENT MGRSSNSSN

EMPLOYEE

Binary Relational Operations

- Get the locations of every department
- DEPT_LOCS ? DEPARTMENT

DEPT_LOCATIONS DNUMBERDNUMBER

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