Presentation on theme: "Relational Databases - Amit Bhawnani & Nimesh Shah."— Presentation transcript:
Relational Databases - Amit Bhawnani & Nimesh Shah
Topics Relational Model SQL Indexes and execution plans Normalization
Databases vs Flat Files Data independence and efficient access Reduced application development time Data integrity and security Protect data from inconsistency due to multiple concurrent users Security and access control Etc etc
Relational Model Dis-satisfaction with other models such as Network, hierarchical etc Proposed by Edgar. F. Codd in the early seventies Simple and elegant model with a mathematical basis – Set theory and first- order predicate logic.
Relation An association between two or more data elements Resembles a “Table” of records. Consider the relation EMPLOYEE represented by the below emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Tuples of a Relation Each row here is a tuple Relation is a set of tuples emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Cardinality of a RELATION Is the number of tuples in a relation at a point in time 1 2 3 4 Cardinality = 4 emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Attributes A tuple consists of attribute values emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Arity / Degree Is the number of attributes in a relation Arity / Degree = 6 emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Domain Defines the space of possible values for an attribute emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Domain - Example Emp_idintegerSet of all 4 digital numbers nameVarhar(50)Set of alpha characters. Max length 50 ssnVarchar(10)Set of alpha numeric characters. Max length 10 desig_idsmallintSet of all designation codes salarydecimalDecimal join_datedate dept_idsmallintSet of all department ids
Relation Schema Consists of name of relation + attributes (along with domain) emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112 Employee
DEFINITION SUMMARY Formal TermsInformal Terms RelationTable Attribute/DomainColumn TupleRow DomainValues in the column Schema of a RelationTable definition
Super Key Uniqueness property: No two tuples share the same value for the key Time-independent emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112 Super Keys: emp_id, name, ssn emp_id_name,ssn_design_d,salary,join_date,dept_id emp_id ssn
Candidate Key Uniqueness property: No two tuples shave the same value for the key Minimality property: None of the attributes of the key can be discarded from the key without destroying the uniqueness property. Time-independent Can be composite emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Primary Key One of the candidate keys is chosen to uniquely identify tuples in a relation, such a key is called the primary key. There can be only one primary key per relation Primary key may be a compound key A relation must have a primary key emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Alternate Key Any candidate Key which is not a primary key is an alternate key There can be more than one alternate keys for any relation. emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112
Entity Integrity Every Relation must have a primary key No attribute participating in the primary key of a base relation may accept null values Guarantees that each entity will have a unique identity.
Foreign Key Some times a set of attributes in a relation may point to certain tuples in another relation A foreign key is a set of attributes in one relation whose values are required to match one of the values of the primary key of the same or different relation. There can be more than one foreign key in a given relation. emp_idnamessndesig_idsalaryjoin_datedept_id 1011ABCa3232x3444510000001/01/112 dept_iddept_nameDept_location 2Software Engineering1B Employee Department
Referential Integrity Values of the foreign key – Must be either null or – If non-null, must match with the primary key value of some tuple of the ‘parent’ relation. The reference can be the same relation.
Relational database schema A set S of relation schemas that belong to the same database S is the name of the whole database schema
One possible database state for the COMPANY relational database schema
Relational Algebra The basic set of operations for the relational model is known as the relational algebra. These operations enable a user to specify basic retrieval requests. A set of operators (unary and binary) that take relation instances as arguments and return new relations. Laid the foundation for the development of Database standard SQL SQL queries are internally translated into RA expressions. Provides a framework for query optimization.
Selection SELECT Operation SELECT operation is used to select a subset of the tuples from a relation that satisfy a selection condition. Example: To select the EMPLOYEE tuples whose salary is greater than 30,000 the following notation is used: SALARY > 30,000 (EMPLOYEE) (R)
Select Operation – Example Relation r ABCD 1 5 12 23 7 3 10 A=B & D > 5 (r)) A=B ( D > 5 (r)) ABCD 1 23 7 10 The degree of the new relation is the same. The cardinality is different. Commutative operator
Projection PROJECT Operation This operation selects certain columns from the table and discards the other columns. Example: To list each employee’s first name,last name and salary, the following is used: FNAME, LNAME,SALARY (EMPLOYEE) The general form of the project operation is (R) The project operation removes any duplicate tuples.
Project Operation – Example Relation r: ABC 10 20 30 40 11121112 AC 11121112 = AC 112112 A,C (r) Output is another relation with a different schema. Non - Commutative
Union UNION 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. For r s to be valid. 1. r, s must have the same same number of attributes 2. The attribute domains must be compatible E.g. to find all customers with either an deposit account or a loan account customer-name (depositor) customer-name (borrower)
Union Operation – Example Relations r, s: r s: AB 121121 AB 2323 r s AB 12131213
Chapter 6-32 Difference (or MINUS) Operation The result of this operation, denoted by R - S, is a relation that includes all tuples that are in R but not in S. The two operands must be "type compatible”. Relations r, s: r s: AB 121121 AB 2323 r s AB 1
Chapter 6-33 CARTESIAN (or cross product) Operation Relations r, s: r x s: AB 1212 AB 1111222211112222 CD 10 19 20 10 20 10 E aabbaabbaabbaabb CD 20 10 E aabbaabb r s
Composition of Operations Can build expressions using multiple operations Example: A=C (r x s) r x s A,D,E ( A=C (r x s)) AB 1111222211112222 CD 10 19 20 10 20 10 E aabbaabbaabbaabb ABCDE 122122 20 aabaab
Example Queries Find all loans of over $1200 Find the loan number for each loan of an amount greater than $1200 Find the names of all customers who have a loan, an account, or both, from the bank Find the names of all customers who have a loan and an account at bank. Find the names of all customers who have a loan at the ABC branch. Find the names of all customers who have a loan at the ABC branch but do not have an account at any branch of the bank.
Intersection 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" Relations r, s: r s: AB 121121 AB 2323 r s AB 2
Theta Join Operator Theta join is used to combine related tuples from two or more relations ( specified by the condition theta ), to form a single tuple. The general form of theta join is as follows : R (join condition) S. Tuples whose join attributes are null do not appear in the final result. Theta join where the only comparison operator used is the equals (=) sign, are called equijoins.
Theta Join Operator – Example Relations r, s: AB 1241212412 CD aababaabab B 1312313123 D aaabbaaabb E r AB 1111211112 CD aaaabaaaab E s r (r.b = s.b and r.d = s.d) s
Outer Join An extension of the join operation that avoids loss of information. Computes the join and then adds tuples form one relation that does not match tuples in the other relation to the result of the join.
Outer Join – Example loan loan-numberamount L-170 L-230 L-260 3000 4000 1700 borrower customer-nameloan-number Jones Smith Hayes L-170 L-230 L-155 branch-name Downtown Redwood Perryridge
Outer Join – Example Inner Join loan (loan.loan_number = borrower.loan_number) Borrower loan (loan.loan_number = borrower.loan_number) borrower Left Outer Join loan-numberamount L-170 L-230 3000 4000 customer-name Jones Smith branch-name Downtown Redwood loan-numberamount L-170 L-230 L-260 3000 4000 1700 customer-name Jones Smith null branch-name Downtown Redwood Perryridge
Outer Join – Example Right Outer Join loan borrower loan-numberamount L-170 L-230 L-155 3000 4000 null customer-name Jones Smith Hayes loan-numberamount L-170 L-230 L-260 L-155 3000 4000 1700 null customer-name Jones Smith null Hayes loan borrower Full Outer Join branch-name Downtown Redwood null branch-name Downtown Redwood Perryridge null