M Taimoor Khan Course Objectives 1) Basic Concepts 2) Tools 3) Database architecture and design 4) Flow of data (DFDs)

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Presentation transcript:

M Taimoor Khan

Course Objectives 1) Basic Concepts 2) Tools 3) Database architecture and design 4) Flow of data (DFDs) 5) Mappings (ERDs) 6) Formulating queries (Relational algebra) 7) Implementing Schema 8) Built-in Functions 9) Extracting data 10) Working with Joins 11) Normalization 12) Improving performance 13) Advanced topics

Working with Joins o JOINS o SUBQUERIES

Accessing Multiple Tables  Cartesian Product  Inner join  Outer Join  Full outer join  Semi Join  Natural Join

Cartesian Product  No specific command; Select is used  Simply give the names of the tables involved; Cartesian product will be produced

Cartesian Product  Produces m x n rows  Select * from program, course

Cartesian Product  Certain columns can be selected, same column name needs to be qualified  Similarly can be applied to more than one tables, and even can be applied on the same table SELECT * from Student, class, program

Inner join  Only those rows from both tables are merged that have same value for the common attribute; equijoin  Implemented by different methods

Inner join  Common attributes need not to have same name, but must have same domain  Applied generally between tables having referential integrity between them

Inner Join  SELECT * FROM course INNER JOIN program ON course.prName = program.prName  Select * FROM Course c inner join program p ON c.prName = p.prName

Inner Join  Can also be performed using the where clause, like SELECT * FROM course, program WHERE course.prName = program.prName

Outer Join  Inner join plus the missing rows from one or more tables  Left, Right and Full Outer Joins

Outer Joins  Right Outer Join: Inner join plus rows from the non-matching rows from right table  Left outer join performs the same thing but missing rows of the left side table

Outer Joins  A Left Outer Join B = B Right Outer Join A  Missing values are replaced with NULLs  Full Outer Join: Inner join plus the non-matching rows from both tables

Outer Join Examples  Select * from course c LEFT OUTER JOIN program p on c.prName = p.prName  Select * from program p RIGHT OUTER JOIN course c on c.prName = p.prName

Outer Join Examples  Select * from program p LEFT OUTER JOIN course c on p.prName = c.prName  Select * from course c RIGHT OUTER JOIN program p on c.prName = p.prName

Full Outer Join SELECT * FROM program p FULL OUTER JOIN course c ON p.prName = c.prName (mysql way around) SELECT * FROM t1 LEFT JOIN t2 ON t1.id = t2.id UNION SELECT * FROM t1 RIGHT JOIN t2 ON t1.id = t2.id

Semi Join  First inner join and then projected on the attributes of one table  Advantage: tells the rows involved in join  No operator available as such, but can be implemented by select_list

Semi Join Example SELECT distinct p.prName, totsem, prCredits FROM program p inner JOIN course c ON p.prName = c.prName

Self Join  Applied on the same table having referential integrity constraint implemented onto itself ALTER TABLE student ADD cr char(5) REFERENCES student(stId)

Self Join SELECTa.stId, a.stName, b.stId, b.stName FROM student a, student b WHERE (a.cr = b.stId)

Working with Joins JOINS o SUBQUERIES

Next Lecture  Subqueries