数据库作业答案-ch.ppt

Chapter 1: Introduction,Purpose of Database Systems View of Data Data Models Data Definition Language Data Manipulation Language Transaction Management Storage Management Database Administrator Database Users Overall System Structure,1.1 Database System Applications,Database System,Collection of interrelated data A database contains information about a particular enterprise Set of programs to access the data DBMS provides an environment that is both convenient and efficient to use. Database Applications: Banking: all transactions Airlines: reservations, schedules Universities: registration, grades Sales: customers, products, purchases Manufacturing: production, inventory, orders, supply chain Human resources: employee records, salaries, tax deductions Databases touch all aspects of our lives,1.2 Database Systems versusFile Systems,Purpose of Database System,In the early days, database applications were built on top of file systems Drawbacks of using file systems to store data: Data redundancy and inconsistency Multiple file formats, duplication of information in different files Difficulty in accessing data Need to write a new program to carry out each new task Data isolation multiple files and formats Integrity problems Integrity constraints (e.g. account balance 0) become part of program code Hard to add new constraints or change existing ones,Purpose of Database Systems (Cont.),Drawbacks of using file systems (cont.) Atomicity of updates Failures may leave database in an inconsistent state with partial updates carried out E.g. transfer of funds from one account to another should either complete or not happen at all Concurrent access by multiple users Concurrent accessed needed for performance Uncontrolled concurrent accesses can lead to inconsistencies E.g. two people reading a balance and updating it at the same time Security problems Database systems offer solutions to all the above problems,1.3 View of Data,Levels of Abstraction,Physical level describes how a record (e.g., customer) is stored. Logical level describes data stored in database, and the relationships among the data. type customer = recordname : string;street : string;city : integer;end; Physical Data Independence the ability to modify the physical schema without changing the logical schema Applications depend on the logical schema 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.,View of Data,An architecture for a database system,Levels of Abstraction (cont.),View level: the highest level of abstraction describes only part of the entire database Simplify interaction with the database systems hide information (e.g., salary) for security purposes. Logical Data Independence the ability to modify the global schema without changing the subschema,Instances and Schemas,Schema the logical structure of the database e.g., the database consists of information about a set of customers and accounts and the relationship between them) Analogous to type information of a variable in a program Physical schema: database design at the physical level Logical schema: database design at the logical level Instance the actual content of the database at a particular point in time Analogous to the value of a variable,1.4 Data Models,Data Models,A collection of tools for describing data data relationships data semantics data constraints Entity-Relationship model Relational model Other models: object-oriented model semi-structured data models Older models: network model and hierarchical model,Entity-Relationship Model,Example of schema in the entity-relationship model,Entity Relationship Model (Cont.),E-R model of real world Entities (objects) E.g. customers, accounts, bank branch Relationships between entities E.g. Account A-101 is held by customer Johnson Relationship set depositor associates customers with accounts Widely used for database design Database design in E-R model usually converted to design in the relational model (coming up next) which is used for storage and processing,Relational Model,Example of tabular data in the relational model,customer- name,Customer-id,customer- street,customer- city,account- number,Johnson Smith Johnson Jones Smith,192-83-7465 019-28-3746 192-83-7465 321-12-3123 019-28-3746,Alma North Alma Main North,Palo Alto Rye Palo Alto Harrison Rye,A-101 A-215 A-201 A-217 A-201,Attributes,A Sample Relational Database,1.5 Database Languages,Data Definition Language (DDL),Specification notation for defining the database schema E.g. create table account ( account-number char(10), balance integer) DDL compiler generates a set of tables stored in a data dictionary Data dictionary contains metadata (i.e., data about data) database schema storage structure and access methods used by the database system Data storage and definition language,Data Manipulation Language (DML),Language for accessing and manipulating the data organized by the appropriate data model Two classes of languages Procedural user specifies what data is required and how to get those data Nonprocedural user specifies what data is required without specifying how to get those data SQL is the most widely used query language,SQL,SQL: widely used non-procedural language E.g. find the name of the customer with customer-id 192-83-7465select customer.customer-namefrom customerwhere customer.customer-id = 192-83-7465 E.g. find the balances of all accounts held by the customer with customer-id 192-83-7465select account.balancefrom depositor, accountwhere depositor.customer-id = 192-83-7465 and depositor.account-number = account.account-number Application programs generally access databases through one of Language extensions to allow embedded SQL Application program interface (e.g. ODBC/JDBC) which allow SQL queries to be sent to a database,1.6 Database Users and Administrators,Database Users,Users are differentiated by the way they expect to interact with the system Naive users invoke one of the permanent application programs that have been written previously E.g. people accessing database over the web, bank tellers Application programmers interact with system through DML calls Sophisticated users form requests in a database query language Specialized users write specialized database applications that do not fit into the traditional data processing framework,Database Administrator,Coordinates all the activities of the database system; the database administrator has a good understanding of the enterprises information resources and needs. Database administrators duties include: Schema definition Storage structure and access method definition Schema and physical organization modification Granting user authority to access the database Specifying integrity constraints Acting as liaison with users Monitoring performance and responding to changes in requirements,1.7 Transaction Management,Transaction Management,A transaction is a collection of operations that performs a single logical function in a database application 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. Concurrency-control manager controls the interaction among the concurrent transactions, to ensure the consistency of the database.,1.8 Database System Structure,Storage Management,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. The storage manager is responsible to the following tasks: interaction with the file manager efficient storing, retrieving and updating of data,Query Processor,DDL interpreter DML compiler Query evaluation engine,Overall System Structure,1.9 Application Architectures,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”,Exercises,Chap. 1: 1.1, 1.3, 1.5, 1.8,