BIS3635 - Database Systems School of Management, Business Information Systems, Assumption University A.Thanop Somprasong Chapter # 8 Advanced SQL.

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Presentation transcript:

BIS Database Systems School of Management, Business Information Systems, Assumption University A.Thanop Somprasong Chapter # 8 Advanced SQL

In this chapter, you will learn: How to use SQL functions to manipulate dates, strings, and other data How to create and use triggers and stored procedures Objectives

Generating information from data often requires many data manipulations SQL functions similar to functions in programming languages Functions always use numerical, date, or string value Value may be part of a command or attribute in a table Function may appear anywhere in an SQL statement SQL Functions

All SQL-standard DBMSs support date and time functions Date functions take one parameter and return a value Date/time data types implemented differently by different DBMS vendors ANSI SQL standard defines date data types, but not how data types are stored SQL Functions – Date() and Time()

Grouped in different ways Algebraic, trigonometric, logarithmic, etc. Do not confuse with aggregate functions Aggregate functions operate over sets Numeric functions operate over single row Numeric functions take one numeric parameter and return one value SQL Functions – Numeric()

SQL Functions – Numeric() (2)

String manipulations most used functions in programming String manipulation function examples: Concatenation Printing in uppercase Finding length of an attribute SQL Functions – String()

Take a value of given data type and convert it to the equivalent value in another data type Oracle conversion functions: TO_CHAR: takes a date value, converts to character string TO_DATE: takes character string representing a date, converts it to actual date in Oracle format SQL Server uses CAST and CONVERT functions SQL Functions – Conversion()

SQL does not support conditional execution Isolate critical code All applications access shared code Better maintenance and logic control Persistent stored module (PSM) is a block of code containing: Standard SQL statements Procedural extensions Stored and executed at the DBMS server Procedural SQL

Procedural SQL (PL/SQL) makes it possible to: Store procedural code and SQL statements in database Merge SQL and traditional programming constructs Procedural code executed by DBMS when invoked by end user Anonymous PL/SQL blocks and triggers Stored procedures and PL/SQL functions Procedural SQL (2)

Procedural SQL code automatically invoked by RDBMS on data manipulation event Trigger definition: Triggering timing: BEFORE or AFTER Triggering event: INSERT, UPDATE, DELETE Triggering level: Statement-level trigger Row-level trigger Triggering action DROP TRIGGER trigger_name Triggers

Named collection of procedural and SQL statements Advantages Substantially reduce network traffic and increase performance No transmission of individual SQL statements over network Reduce code duplication by means of code isolation and code sharing Minimize chance of errors and cost of application development and maintenance Stored Procedures

Cursor: special construct in procedural SQL to hold data rows returned by SQL query Implicit cursor: automatically created when SQL returns only one value Explicit cursor: holds the output of an SQL statement that may return two or more rows Cursor-style processor retrieves data from cursor one row at a time Current row copied to PL/SQL variables PL/SQL Processing with Cursors

Named group of procedural and SQL statements that returns a value Syntax: PL/SQL Stored Functions CREATE FUNCTION function_name (argument IN data-type, …) RETURN data-type [IS] BEGIN PL/SQL statements;... RETURN (value or expression); END;

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