Phnom Penh International University Chapter 1 Introduction n

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Phnom Penh International University Chapter 1: Introduction n What is a database system n

Phnom Penh International University Chapter 1: Introduction n What is a database system n Purpose of Database Systems n View of Data n Data Models n Data Definition Language n Data Manipulation Language n Transaction Management n Storage Management n Database Administrator n Database Users n Overall System Structure Database System Concepts 1. 1 Instructor: Cheam Sithy

Phnom Penh International University Introduction n What is DBMS? n A database-management system (DBMS)

Phnom Penh International University Introduction n What is DBMS? n A database-management system (DBMS) is a large collection of interrelated data and a set of programs to access those data. n The primary goal of a DBMS is to provide a way to store and retrieve data information that is both convenient and efficient Database System Concepts 1. 2 Instructor: Cheam Sithy

Phnom Penh International University Database Management System (DBMS) n Collection of interrelated data n

Phnom Penh International University Database Management System (DBMS) n Collection of interrelated data n Set of programs to access the data n DBMS contains information about a particular enterprise n DBMS provides an environment that is both convenient and efficient to use. n Database Applications: H Banking: all transactions H Airlines: reservations, schedules H Universities: registration, grades H Sales: customers, products, purchases H Manufacturing: production, inventory, orders, supply chain H Human resources: employee records, salaries, tax deductions n Databases touch all aspects of our lives Database System Concepts 1. 3 Instructor: Cheam Sithy

Phnom Penh International University Purpose of Database System n In the early days, database

Phnom Penh International University Purpose of Database System n In the early days, database applications were built on top of file systems n Drawbacks of using file systems to store data: H Data redundancy and inconsistency 4 Multiple file formats, duplication of information in different files H Difficulty in accessing data 4 Need to write a new program to carry out each new task H Data isolation — multiple files and formats H Integrity problems 4 Integrity constraints (e. g. account balance > 0) become part of program code 4 Hard to add new constraints or change existing ones Database System Concepts 1. 4 Instructor: Cheam Sithy

Phnom Penh International University Purpose of Database Systems (Cont. ) n Drawbacks of using

Phnom Penh International University Purpose of Database Systems (Cont. ) n Drawbacks of using file systems (cont. ) H Atomicity of updates 4 Failures may leave database in an inconsistent state with partial updates carried out 4 E. g. transfer of funds from one account to another should either complete or not happen at all H Concurrent access by multiple users 4 Concurrent accessed needed for performance 4 Uncontrolled concurrent accesses can lead to inconsistencies – E. g. two people reading a balance and updating it at the same time H Security problems n Database systems offer solutions to all the above problems Database System Concepts 1. 5 Instructor: Cheam Sithy

Phnom Penh International University Levels of Abstraction n Physical level describes how a record

Phnom Penh International University Levels of Abstraction n Physical level describes how a record (e. g. , customer) is stored. n Logical level: describes data stored in database, and the relationships among the data. type customer = record name : string; street : string; city : integer; end; n View level: application programs hide details of data types. Views can also hide information (e. g. , salary) for security purposes. Database System Concepts 1. 6 Instructor: Cheam Sithy

Phnom Penh International University View of Data An architecture for a database system Database

Phnom Penh International University View of Data An architecture for a database system Database System Concepts 1. 7 Instructor: Cheam Sithy

Phnom Penh International University Instances and Schemas n Similar to types and variables in

Phnom Penh International University Instances and Schemas n Similar to types and variables in programming languages n Schema – the logical structure of the database H e. g. , the database consists of information about a set of customers and accounts and the relationship between them) H Analogous to type information of a variable in a program H Physical schema: database design at the physical level H Logical schema: database design at the logical level n Instance – the actual content of the database at a particular point in time H Analogous to the value of a variable n Physical Data Independence – the ability to modify the physical schema without changing the logical schema H Applications depend on the logical schema H In general, the interfaces between the various levels and components should be well defined so that changes in some parts do not seriously influence others. Database System Concepts 1. 8 Instructor: Cheam Sithy

Phnom Penh International University Data Models n A collection of tools for describing H

Phnom Penh International University Data Models n A collection of tools for describing H data relationships H data semantics H data constraints n Entity-Relationship model n Relational model n Other models: H object-oriented model H semi-structured data models H Older models: network model and hierarchical model Database System Concepts 1. 9 Instructor: Cheam Sithy

Phnom Penh International University Entity-Relationship Model Example of schema in the entity-relationship model Database

Phnom Penh International University Entity-Relationship Model Example of schema in the entity-relationship model Database System Concepts 1. 10 Instructor: Cheam Sithy

Phnom Penh International University Entity Relationship Model (Cont. ) n E-R model of real

Phnom Penh International University Entity Relationship Model (Cont. ) n E-R model of real world H Entities (objects) 4 E. g. customers, accounts, bank branch H Relationships between entities 4 E. g. Account A-101 is held by customer Johnson 4 Relationship set depositor associates customers with accounts n Widely used for database design H Database design in E-R model usually converted to design in the relational model (coming up next) which is used for storage and processing Database System Concepts 1. 11 Instructor: Cheam Sithy

Phnom Penh International University Relational Model Attributes n Example of tabular data in the

Phnom Penh International University Relational Model Attributes n Example of tabular data in the relational model Customer-id customername 192 -83 -7465 Johnson 019 -28 -3746 Smith 192 -83 -7465 Johnson 321 -12 -3123 Jones 019 -28 -3746 Smith Database System Concepts customerstreet customercity accountnumber Alma Palo Alto A-101 North Rye A-215 Alma Palo Alto A-201 Main Harrison A-217 North Rye A-201 1. 12 Instructor: Cheam Sithy

Phnom Penh International University A Sample Relational Database System Concepts 1. 13 Instructor: Cheam

Phnom Penh International University A Sample Relational Database System Concepts 1. 13 Instructor: Cheam Sithy

Phnom Penh International University Data Definition Language (DDL) n Specification notation for defining the

Phnom Penh International University Data Definition Language (DDL) n Specification notation for defining the database schema H E. g. create table account ( account-number balance char(10), integer) n DDL compiler generates a set of tables stored in a data dictionary n Data dictionary contains metadata (i. e. , data about data) H database schema H Data storage and definition language 4 language in which the storage structure and access methods used by the database system are specified 4 Usually an extension of the data definition language Database System Concepts 1. 14 Instructor: Cheam Sithy

Phnom Penh International University Data Manipulation Language (DML) n Language for accessing and manipulating

Phnom Penh International University Data Manipulation Language (DML) n Language for accessing and manipulating the data organized by the appropriate data model H DML also known as query language n Two classes of languages H Procedural – user specifies what data is required and how to get those data H Nonprocedural – user specifies what data is required without specifying how to get those data n SQL is the most widely used query language Database System Concepts 1. 15 Instructor: Cheam Sithy

Phnom Penh International University SQL n SQL: widely used non-procedural language H E. g.

Phnom Penh International University SQL n SQL: widely used non-procedural language H E. g. find the name of the customer with customer-id 192 -83 -7465 select customer-name from customer where customer-id = ‘ 192 -83 -7465’ H E. g. find the balances of all accounts held by the customer with customer -id 192 -83 -7465 select account. balance from depositor, account where depositor. customer-id = ‘ 192 -83 -7465’ and depositor. account-number = account-number n Application programs generally access databases through one of H Language extensions to allow embedded SQL H Application program interface (e. g. ODBC/JDBC) which allow SQL queries to be sent to a database Database System Concepts 1. 16 Instructor: Cheam Sithy

Phnom Penh International University Database Users n Users are differentiated by the way they

Phnom Penh International University Database Users n Users are differentiated by the way they expect to interact with the system n Application programmers – interact with system through DML calls n Sophisticated users – form requests in a database query language n Specialized users – write specialized database applications that do not fit into the traditional data processing framework n Naïve users – invoke one of the permanent application programs that have been written previously H E. g. people accessing database over the web, bank tellers, clerical staff Database System Concepts 1. 17 Instructor: Cheam Sithy

Phnom Penh International University Database Administrator n Coordinates all the activities of the database

Phnom Penh International University Database Administrator n Coordinates all the activities of the database system; the database administrator has a good understanding of the enterprise’s information resources and needs. n Database administrator's duties include: H Schema definition H Storage structure and access method definition H Schema and physical organization modification H Granting user authority to access the database H Specifying integrity constraints H Acting as liaison with users H Monitoring performance and responding to changes in requirements Database System Concepts 1. 18 Instructor: Cheam Sithy

Phnom Penh International University Transaction Management n A transaction is a collection of operations

Phnom Penh International University Transaction Management n A transaction is a collection of operations that performs a single logical function in a database application n Transaction-management component ensures that the database remains in a consistent (correct) state despite system failures (e. g. , power failures and operating system crashes) and transaction failures. n Concurrency-control manager controls the interaction among the concurrent transactions, to ensure the consistency of the database. Database System Concepts 1. 19 Instructor: Cheam Sithy

Phnom Penh International University Storage Management n Storage manager is a program module that

Phnom Penh International University Storage Management n Storage manager is a program module that provides the interface between the low-level data stored in the database and the application programs and queries submitted to the system. n The storage manager is responsible to the following tasks: H interaction with the file manager H efficient storing, retrieving and updating of data Database System Concepts 1. 20 Instructor: Cheam Sithy

Phnom Penh International University Overall System Structure Database System Concepts 1. 21 Instructor: Cheam

Phnom Penh International University Overall System Structure Database System Concepts 1. 21 Instructor: Cheam Sithy

Phnom Penh International University Application Architectures §Two-tier architecture: E. g. client programs using ODBC/JDBC

Phnom Penh International University Application Architectures §Two-tier architecture: E. g. client programs using ODBC/JDBC to communicate with a database §Three-tier architecture: E. g. web-based applications, and applications built using “middleware” Database System Concepts 1. 22 Instructor: Cheam Sithy