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Relational Database Systems Higher Information Systems Advanced Implementation in MySQL/PHP
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Developing a solution Tables Queries User Views Navigation
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Introducing SQL Relational database management systems (RDBMSs) are based on a data definition language called Structured Query Language or SQL (often pronounced sequel). MySQL takes its name from SQL.
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Introducing SQL SQL is a data definition language CREATE DATABASE `DVD Rentals` CREATE TABLE Member( `Member Number` integer, Name varchar(30), Address varchar(50), `Post Code` varchar(7), `Telephone Number` varchar(11))
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Introducing SQL SQL is also a data manipulation language INSERT INTO Member VALUES (`233`, `Jo Soap`, `1 Getting Close`, `IS99 2QZ`, `123456`) SELECT * FROM Member WHERE `Member Number` BETWEEN 1 and 250 ORDER BY `Member Number` DESC DELETE FROM Member WHERE `Member Number` > 500
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phpMyAdmin A graphical user interface for MySQL
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phpMyAdmin Viewing a table definition
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phpMyAdmin Adding a record
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phpMyAdmin Selecting records
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phpMyAdmin Viewing selected records
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phpMyAdmin Viewing selected records
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Referential Integrity For the database to work properly, it is essential to guarantee that a foreign key always refers to a record which exists in the other table. This is called referential integrity. For example, an entry in the Loan table can only refer to an existing record in the Member table, because a loan can only be made by a member.
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Referential Integrity MySQL has no internal facility to maintain referential integrity (with the default MyISAM table type) - instead, the databases interface must be designed in such a way that a check is made on any value entered to ensure it is valid. Usually this is done by using a list on a web page to display the available choices for a field value from which the user may make a selection.
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Validation: Presence Check
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Validation: Range Check Range checking is performed by the interface Use PHP scripting to check numeric values
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Validation: Restricted Choice Check
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Validation: Default Value
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Formatting All formatting of data for output is done using PHP functions e.g. printf
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Queries Searching Sorting Calculations All searching, sorting and calculation queries are performed using an SQL expression string
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Searching Searching is the process of selecting records from a table or combination of tables. To perform the query, three items must be identified: Which fields will be used to identify the records required? Which tables are required to produce the data required? What are the criteria for identifying the records required?
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Search 1: Single Condition Identify the names and telephone numbers of club members with Member Number over 1000 SELECT FORENAME, SURNAME, `TELEPHONE NUMBER` FROM MEMBER WHERE `MEMBER NUMBER` > 1000
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Search 1: Single Condition The asterisk * symbol can be used in an expression string to extract all fields from a table SELECT * FROM MEMBER WHERE `MEMBER NUMBER` > 1000
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Search 2: Multiple Conditions (AND) Identify the names and telephone numbers of club members with Surnames beginning with M and Member Number over 1000 SELECT FORENAME, SURNAME, `TELEPHONE NUMBER` FROM MEMBER WHERE SURNAME LIKE M* AND `MEMBER NUMBER` > 1000
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Search 3: Multiple Conditions (OR) Identify the names and telephone numbers of club members with Surnames beginning with M or N SELECT FORENAME, SURNAME, `TELEPHONE NUMBER` FROM MEMBER WHERE SURNAME LIKE M* OR SURNAME LIKE N*
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Search 4: More than one table Identify the names of club members who rented a DVD in August 2005 In order to extract the related records from each table, a join operation is performed in SQL This will combine those records from each table which have a corresponding record in the other table into a single set of related records (called an answer set) The keyword used to perform this is INNER JOIN
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Search 4: More than one table Identify the names of club members who rented a DVD in August 2005 SELECT FORENAME, SURNAME, `DATE HIRED` FROM (MEMBER INNER JOIN LOAN) ON `MEMBER.MEMBER NUMBER`=`LOAN.MEMBER NUMBER` WHERE `DATE HIRED` LIKE */8/2005
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Search 5: More than two tables Identify the names of members who have rented Shrek This time all four tables are required: Member, Loan, DVD and Film. A nested INNER JOIN statement must be performed to combine these together into a single answer set
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Search 5: More than two tables Identify the names of members who have rented Shrek SELECT `FORENAME`, `SURNAME`, `TITLE` FROM (((MEMBER INNER JOIN LOAN ON MEMBER.MEMBER NUMBER=LOAN.MEMBER NUMBER) INNER JOIN DVD ON LOAN.DVD CODE = DVD.DVD CODE) INNER JOIN FILM ON DVD.FILM CODE = FILM.FILM CODE) WHERE `TITLE` = SHREK
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Search 6: Dealing with duplicates List those members who have rented Shrek or Finding Nemo SELECT `FORENAME`, `SURNAME`, `TITLE` FROM (((MEMBER INNER JOIN LOAN ON MEMBER.MEMBER NUMBER=LOAN.MEMBER NUMBER) INNER JOIN DVD ON LOAN.DVD CODE = DVD.DVD CODE) INNER JOIN FILM ON DVD.FILM CODE = FILM.FILM CODE) WHERE `TITLE` = SHREK OR `TITLE` = FINDING NEMO
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Search 6: Dealing with duplicates The Group By option is used to eliminate duplicate results SELECT `FORENAME`, `SURNAME`, `TITLE` FROM (((MEMBER INNER JOIN LOAN ON MEMBER.MEMBER NUMBER=LOAN.MEMBER NUMBER) INNER JOIN DVD ON LOAN.DVD CODE = DVD.DVD CODE) INNER JOIN FILM ON DVD.FILM CODE = FILM.FILM CODE) WHERE `TITLE` = SHREK OR `TITLE` = FINDING NEMO GROUP BY *
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Sorting To perform a sort, two items must be identified: Which field (or fields) will be used to decide the order of records? For each field selected, will the order of sorting be ascending or descending?
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Sorting To produce a list of people with the tallest first, the records would be sorted in descending order of height. To produce a list of people with youngest first, the records would be sorted in ascending order of age. A very common way of ordering records relating to people is in alphabetical order. To achieve alphabetical ordering requires the records to be sorted in ascending order of surname.
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Complex Sorting A complex sort involves more than one sort condition involving two or more fields. To achieve telephone book order, the name is sorted in ascending order of surname, then ascending order of forename. In this case, the Surname field is the primary sort key, and the Forename field is the secondary sort key.
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Sorting SELECT FORENAME, SURNAME FROM MEMBER WHERE `MEMBER NUMBER` > 1000 ORDER BY SURNAME, FORENAME SELECT FORENAME, SURNAME FROM MEMBER WHERE `MEMBER NUMBER` > 1000 ORDER BY `MEMBER NUMBER` DESC
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Calculations Horizontal calculations are often known as calculated fields, and vertical calculations are known as summary fields.
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Functions (MySQL)
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Functions (PHP)
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Working with Dates to search for all DVDs rented in the last week, you would use the expression SELECT * FROM LOAN WHERE DATEDIFF(CURDATE(),`DATE HIRED`) < 7 to calculate a persons age in years from their date of birth, you would use the expression SELECT (YEAR(CURDATE()) – YEAR(`DATE OF BIRTH`) – (RIGHT(CURDATE(),5)<RIGHT(`DATE OF BIRTH`,5)) AS AGE
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Parameterised Queries
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User Views User views are created using forms and reports. A form or report is usually based on a query which selects the required fields from the appropriate tables, sorting the results if necessary, and performing any horizontal calculations. In a MySQL application, all output is generally in the form of a web page.
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Report Structure
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Summary Information Sumto add values to give a total, e.g. Total Cost of DVD Rentals last month Averageto find an average value, e.g. Average Cost of Hire per DVD Countto count the number of records found, e.g. Number of DVDs rented per member Maximumto find the highest value, e.g. Highest number of rentals per DVD (to find the most popular DVD) Minimumto find the lowest value, e.g. Lowest number of rentals per member
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Summary Information In a MySQL application, the aggregate functions SUM, AVG, COUNT, MAX and MIN can be used in an SQL expression string to produce summary information for a set of extracted records However, certain summary information, such as page totals, would have to be programmed using PHP (e.g. counting the number of records being displayed)
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Scripting In a MySQL application, all navigation and user interface features are implemented using scripting $result = @mysql_query("SELECT Forename, Surname FROM Member"); while ( $row = mysql_fetch_array($result) ) { $forename = $row["Forename"]; $surname = $row["Surname"]; echo(" $forename $surname "); }
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Macros
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