* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Lecture 1
Microsoft Access wikipedia , lookup
Oracle Database wikipedia , lookup
Entity–attribute–value model wikipedia , lookup
Open Database Connectivity wikipedia , lookup
Serializability wikipedia , lookup
Ingres (database) wikipedia , lookup
Extensible Storage Engine wikipedia , lookup
Microsoft Jet Database Engine wikipedia , lookup
Functional Database Model wikipedia , lookup
Concurrency control wikipedia , lookup
Relational model wikipedia , lookup
Clusterpoint wikipedia , lookup
ECE 569 Database System Engineering Spring 2003 Yanyong Zhang www.ece.rutgers.edu/~yyzhang Course URL www.ece.rutgers.edu/~yyzhang/spring03 ECE 569 Database System Engineering Spring 2003 About the instructor (Yanyong Zhang) Dr./Prof. Zhang Dr./Prof. Yanyong Yanyong Office: Core 518 Office hours: TBD (usually before class) Office number: 5-0608 Email: [email protected] URL: www.ece.rutgers.edu/~yyzhang Research interests: ● distributed computing operating systems ● distributed database ● ECE 569 Database System Engineering Spring 2003 Something about the background What is database? a very large, integrated collection of data Query Transaction A group of queries which possess the ACID (atomic, consistent, isolated, and durable) property DBMS (DataBase Management System) a software package designed to store and manage databases ECE 569 Database System Engineering Spring 2003 About the course What will we focus on? Transaction processing DBMS design What will we not focus on? Relational data model, OO data model, etc SQL programming Goal Understand DBMS design issues Develop background for research in database area ECE 569 Database System Engineering Spring 2003 What should you’ve know Data structure and algorithms Operations system knowledge C, Unix Background in data model and query languages recommended ECE 569 Database System Engineering Spring 2003 What will you encounter - topics 1. Relational Data Model (2-4) 2. DBMS Design / Implementation (5-11) a) File organization (5-6) b) Access methods (7-9) c) Query processing (10-11) 3. Transaction Processing a) Transaction Models (12-13) b) Isolation (14-20) c) Performance (21-22) d) B-tree Synchronization (23-24) e) Recovery (25-29) ECE 569 Database System Engineering Spring 2003 What will you encounter - projects Projects Develop a client/server relational DBMS - Query processing / Physical data model / Data dictionary - Concurrency control / Recovery Work in groups of at most 4. - You may choose groups but I must approve. - At least three members of each group should be strong C programmers. Projects are difficult and time-consuming. - ~10K lines of codes - Use threads and RPC - Code is difficult to debug Projects are interesting and rewarding. ECE 569 Database System Engineering Spring 2003 Grading Policy 3 Homework assignments (15%) Project (45%) Two exams (20% each) Course URL: www.ece.rutgers.edu/~yyzhang/spring03 ECE 569 Database System Engineering Spring 2003 Database Literature Journals IEEE Transaction on Knowledge and Data Engineering ACM Transactions on Database Systems VLDB Journal Conferences IEEE Data Engineering Conference ACM SIGMDO Very Large Database (VLDB) ECE 569 Database System Engineering Spring 2003 Time and Location Core 538 schedule Tuesday all day Wednesday after 6 PM Thursday all day Part time students please let me know (access to Core, and 5th floor) ECE 569 Database System Engineering Spring 2003 Overview A database management system (DBMS) provides efficient access to large amounts of persistent data Data models and query languages allow efficient access while hiding complexity from users Efficient shared access requires concurrency. Transactions provide transparency to this concurrency. Application programs are easier to write. In many cases the data is valuable. It must be protected from the effects of failure (resiliency) and sabotage (security). ECE 569 Database System Engineering Spring 2003 Example – medical database Entities in database, the types and names of their attributes, and relationships between entities. Date Balance Account Made To Billed Patient From Address ECE 569 Database System Engineering Disease Vital Sign Time Blood Diagnosed Treatment Amount Pulse Name Room# Payment Name Spring 2003 Sample applications Admit_patient Make_diagnosis Record_vital_signs In relational data model we can express schema with following tables: patient (name, address, balance_due, room#) payments (name, amount, date) vital_signs (name, pulse, bp, time) diagnosis (patient_name, disease_name) disease (disease_name, treatment) ECE 569 Database System Engineering Spring 2003 Levels of Abstractions Abstraction is used to hide complexity and allow for a separation of concerns (What vs. How). Subschema definition language View 1 Data definition language ECE 569 Database System Engineering View 1 View 1 Specialized view of enterprise Conceptual Schema Complete model of enterprise Physical Schema Records, pointers, indices Spring 2003 Examples Physical Level Specify indices, e.g., CREATE INDEX room_index ON patient(room#); Specify performance related characteristics of relations Conceptual Level Define tables, specifying data types for each attribute. CR CREATE TABLE patient ( name char(30), address char(100), balance_due number(6,2), room# integer, PRIMARY KEY (name)); ECE 569 Database System Engineering Spring 2003 Examples – cont’d External Level Define views for various purposes, e.g., CREATE VIEW doctor-view-diagnosis AS SELECT name, room#, disease_name,treatment FROM patient, diagnosis, diseases WHERE name = patient_name AND diagnosis.disease_name = disease.disease_name; ECE 569 Database System Engineering Spring 2003 System Architecture DDL Statements Interactive Queries Application Program DDL Compiler Query Compiler Precompiler Parametric Users Host Compiler DML Execute Data Dictionary DML Compiler Runtime DB Processor File Manager Compiled Transaction Execute Concurrency control and recovery DDL: Data Definition Language DML: Data Manipulation Language Stored DB ECE 569 Database System Engineering Spring 2003