Administrivia. The Relational Model. Review. Review. Review. Some useful terms

Similar documents
Review. The Relational Model. Glossary. Review. Data Models. Why Study the Relational Model? Why use a DBMS? OS provides RAM and disk

Relational data model

The Relational Data Model. Data Model

Introduction to Data Management. Lecture #4 (E-R Relational Translation)

The Relational Model. Relational Data Model Relational Query Language (DDL + DML) Integrity Constraints (IC)

The Relational Model. Chapter 3. Database Management Systems, R. Ramakrishnan and J. Gehrke 1

Database Management Systems. Chapter 3 Part 1

The Relational Model. Chapter 3

Database Applications (15-415)

The Relational Model. Chapter 3. Comp 521 Files and Databases Fall

The Relational Model. Chapter 3. Comp 521 Files and Databases Fall

Introduction to Data Management. Lecture #5 Relational Model (Cont.) & E-Rà Relational Mapping

Why Study the Relational Model? The Relational Model. Relational Database: Definitions. The SQL Query Language. Relational Query Languages

The Relational Model of Data (ii)

The Relational Model. Outline. Why Study the Relational Model? Faloutsos SCS object-relational model

The Relational Model. Week 2

CompSci 516 Database Systems. Lecture 2 SQL. Instructor: Sudeepa Roy

The Relational Model. Why Study the Relational Model? Relational Database: Definitions

The Relational Model 2. Week 3

Lecture 2 SQL. Instructor: Sudeepa Roy. CompSci 516: Data Intensive Computing Systems

Relational Model. Topics. Relational Model. Why Study the Relational Model? Linda Wu (CMPT )

Lecture 2 SQL. Announcements. Recap: Lecture 1. Today s topic. Semi-structured Data and XML. XML: an overview 8/30/17. Instructor: Sudeepa Roy

The Relational Model. Roadmap. Relational Database: Definitions. Why Study the Relational Model? Relational database: a set of relations

Relational Databases BORROWED WITH MINOR ADAPTATION FROM PROF. CHRISTOS FALOUTSOS, CMU /615

Announcements If you are enrolled to the class, but have not received the from Piazza, please send me an . Recap: Lecture 1.

Comp 5311 Database Management Systems. 4b. Structured Query Language 3

The Relational Model

SQL: The Query Language Part 1. Relational Query Languages

The Relational Model. Database Management Systems

Data Modeling. Yanlei Diao UMass Amherst. Slides Courtesy of R. Ramakrishnan and J. Gehrke

CIS 330: Applied Database Systems

Database Systems ( 資料庫系統 )

The Relational Model

Review: Where have we been?

Keys, SQL, and Views CMPSCI 645

Introduction to Data Management. Lecture #4 (E-R à Relational Design)

Database Systems. Lecture2:E-R model. Juan Huo( 霍娟 )

DBMS. Relational Model. Module Title?

Introduction to Data Management. Lecture #3 (E-R Design, Cont d.)

Data! CS 133: Databases. Goals for Today. So, what is a database? What is a database anyway? From the textbook:

Goals for Today. CS 133: Databases. Relational Model. Multi-Relation Queries. Reason about the conceptual evaluation of an SQL query

Database Systems. Course Administration

CS 2451 Database Systems: Relational Data Model

EGCI 321: Database Systems. Dr. Tanasanee Phienthrakul

L3 The Relational Model. Eugene Wu Fall 2018

Relational Algebra Homework 0 Due Tonight, 5pm! R & G, Chapter 4 Room Swap for Tuesday Discussion Section Homework 1 will be posted Tomorrow

Relational Query Languages

Modern Database Systems Lecture 1

SQL: Part II. Announcements (September 18) Incomplete information. CPS 116 Introduction to Database Systems. Homework #1 due today (11:59pm)

Announcements (September 18) SQL: Part II. Solution 1. Incomplete information. Solution 3? Solution 2. Homework #1 due today (11:59pm)

CSEN 501 CSEN501 - Databases I

Introduction to Data Management. Lecture #4 E-R Model, Still Going

Introduction to Data Management. Lecture #17 (SQL, the Never Ending Story )

CS5300 Database Systems

Introduction to Data Management. Lecture 16 (SQL: There s STILL More...) It s time for another installment of...

CS275 Intro to Databases

Database Management Systems. Session 2. Instructor: Vinnie Costa

CMPT 354: Database System I. Lecture 3. SQL Basics

Modern Database Systems CS-E4610

A Few Tips and Suggestions. Database System II Preliminaries. Applications (contd.) Applications

CIS 330: Applied Database Systems. ER to Relational Relational Algebra

Lecture 3 SQL - 2. Today s topic. Recap: Lecture 2. Basic SQL Query. Conceptual Evaluation Strategy 9/3/17. Instructor: Sudeepa Roy

The Relational Model Constraints and SQL DDL

Introduction to Data Management. Lecture #5 (E-R Relational, Cont.)

Lecture 3 More SQL. Instructor: Sudeepa Roy. CompSci 516: Database Systems

Lecture 2: Introduction to SQL

SQL. Chapter 5 FROM WHERE

SQL: Part III. Announcements. Constraints. CPS 216 Advanced Database Systems

01/01/2017. Chapter 5: The Relational Data Model and Relational Database Constraints: Outline. Chapter 5: Relational Database Constraints

A Few Tips and Suggestions. Database System I Preliminaries. Applications (contd.) Applications

Translation of ER-diagram into Relational Schema. Dr. Sunnie S. Chung CIS430/530

A Few Tips and Suggestions. Database System II Preliminaries. Applications (contd.) Applications

Relational Model. CSC 343 Winter 2018 MICHAEL LIUT

DATABASE MANAGEMENT SYSTEMS. UNIT I Introduction to Database Systems

Page 1. Goals for Today" What is a Database " Key Concept: Structured Data" CS162 Operating Systems and Systems Programming Lecture 13.

The SQL Query Language. Creating Relations in SQL. Adding and Deleting Tuples. Destroying and Alterating Relations. Conceptual Evaluation Strategy

Introduction to SQL Part 1 By Michael Hahsler based on slides for CS145 Introduction to Databases (Stanford)

Database Systems ( 資料庫系統 ) Practicum in Database Systems ( 資料庫系統實驗 ) 9/20 & 9/21, 2006 Lecture #1

Database Applications (15-415)

Today s topics. Null Values. Nulls and Views in SQL. Standard Boolean 2-valued logic 9/5/17. 2-valued logic does not work for nulls

Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa

Introduction to Relational Databases. Introduction to Relational Databases cont: Introduction to Relational Databases cont: Relational Data structure

Page 1. Quiz 18.1: Flow-Control" Goals for Today" Quiz 18.1: Flow-Control" CS162 Operating Systems and Systems Programming Lecture 18 Transactions"

SQL: Queries, Programming, Triggers. Basic SQL Query. Conceptual Evaluation Strategy. Example of Conceptual Evaluation. A Note on Range Variables

CMPT 354: Database System I. Lecture 2. Relational Model

Databases. Jörg Endrullis. VU University Amsterdam

CS425 Midterm Exam Summer C 2012

EECS 647: Introduction to Database Systems

SQL DATA DEFINITION LANGUAGE

The Relational Model (ii)

SQL DATA DEFINITION LANGUAGE

ITCS 3160 DATA BASE DESIGN AND IMPLEMENTATION

COSC344 Database Theory and Applications. σ a= c (P) Lecture 3 The Relational Data. Model. π A, COSC344 Lecture 3 1

CS143: Relational Model

e e Conceptual design begins with the collection of requirements and results needed from the database (ER Diag.)

SQL: Queries, Constraints, Triggers

CIS 330: Applied Database Systems

LAB 3 Notes. Codd proposed the relational model in 70 Main advantage of Relational Model : Simple representation (relationstables(row,

SQL: Queries, Programming, Triggers

Chapter 1: Introduction

Transcription:

Administrivia The Relational Model Ramakrishnan & Gehrke Chapter 3 Homework 0 is due next Thursday No discussion sections next Monday (Labor Day) Enrollment goal ~150, 118 currently enrolled, 47 on the wait list Pretty good chance to get in To be sure, appeal deadline is *tomorrow* Talk to Michael-David Sasson Review Review What is a Database? What is a Database System? What makes a Database System different from RAM, disk, and the WWW? da ta base Pronunciation: 'da-t&-"bas, 'da- also 'dä- Function: noun Date: circa 1962 : a usually large collection of data organized especially for rapid search and retrieval (as by a computer) A database management system (DBMS), sometimes just called a database manager, is a program that lets one or more computer users create and access datain a database. 1 Review What makes DBMSs different? A.C.I.D. Properties Levels of Abstraction Data Independence Query Languages Data Modelling When do you use DBMSs (or not) Need above features Don t mind performance/cost penalty Some useful terms Byte Kilobyte Megabyte Gigabyte Terabyte A handful of these for files in EECS Biggest single online DB is Wal-Mart, >100TB Internet Archive WayBack Machine is > 100 TB Petabyte 11 of these in email in 1999 Exabyte 8 of these projected to be sold in new disks in 2003 Zettabyte Yottabyte 1

Today: Data Models Why Study the Relational Model? DBMS used to model real world Data Model is link between user s view of the world and bits stored in computer Many models exist We will concentrate on the Relational Model Relational model uses the concept of tables, rows and columns Student(sid:(sid: string, name: string, login: string, age: integer, gpa :real) 10101 11101 Has a nice formal theoretical foundation vs earlier models allows declarative queries, not procedural Most widely used model. Vendors: IBM, Microsoft, Oracle, Sybase, etc. Legacy systems in older models e.g., IBM s IMS Object-oriented concepts have recently merged in object-relational model IBM DB2, Oracle 9i, IBM Informix Will touch on this toward the end of the semester Based on POSTGRES research project at Berkeley Postgres still represents the cutting edge on some of these features! Storing Data in a Table Data about individual students One row per student How to represent course enrollment? Storing More Data in Tables may enroll in more that one course Most efficient: keep enrollment in separate table Linking Data from Multiple Tables Relational Data Model: Formal Definitions How to connect student data to enrollment? Need a Key Relational database: a set of relations. Relation: made up of 2 parts: Instance : a table, with rows and columns. #rows = cardinality Schema : specifies name of relation, plus name and type of each column. E.g. (sid: string, name: string, login: string, age: integer, gpa: real) #fields = degree / arity Can think of a relation as a set of rows or tuples. i.e., all rows are distinct 2

In other words... Example Instance of Relation Data Model a way to organize information Schema one particular organization, i.e., a set of fields/columns, each of a given type Relation a name a Schema a set of tuples/rows, each following organization specified in Schema Cardinality = 3, arity = 5, all rows distinct Do all values in each column of a relation instance have to be distinct? SQL - A language for Relational DBs SQL: standard language Data Definition Language (DDL) create, modify, delete relations specify constraints administer users, security, etc. Data Manipulation Language (DML) Specify queries to find tuples that satisfy criteria add, modify, remove tuples SQL Overview CREATE TABLE <name> ( <field> <domain>, ) INSERT INTO <name> (<field names>) VALUES (<field values>) DELETE FROM <name> WHERE <condition> UPDATE <name> SET <field name> = <value> WHERE <condition> SELECT <fields> FROM <name> WHERE <condition> Creating Relations in SQL Creates the relation. Note: the type (domain) of each field is specified, and enforced by the DBMS whenever tuples are added or modified. Another example: the table holds information about courses students take. CREATE TABLE (sid CHAR(20), name CHAR(20), login CHAR(10), age INTEGER, gpa FLOAT) CREATE TABLE (sid CHAR(20), cid CHAR(20), grade CHAR(2)) Adding and Deleting Tuples Can insert a single tuple using: INSERT INTO (sid, name, login, age, gpa) VALUES ( 53688, Smith, smith@ee, 18, 3.2) Can delete all tuples satisfying some condition (e.g., name = Smith): DELETE FROM S WHERE S.name = Smith Powerful variants of these commands are available; more later! 3

Keys Primary Keys Keys are a way to associate tuples in different relations Keys are one form of integrity constraint (IC) A set of fields is a superkey if: No two distinct tuples can have same values in all key fields A set of fields is a key for a relation if : It is a superkey No subset of the fields is a superkey >1 key for a relation? one of the keys is chosen (by DBA) to be the primary key. E.g. sid is a key for. What about name? The set {sid, gpa} is asuperkey. Primary and Candidate Keys in SQL Possibly many candidate keys (specified using UNIQUE), one of which is chosen as the primary key. For a given student and course, there is a single grade. vs. can take only one course, and receive a single grade for that course; further, no two students in a course receive the same grade. Used carelessly, an IC can prevent the storage of database instances that should arise in practice! CREATE TABLE (sid CHAR(20) cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid,cid)) CREATE TABLE (sid CHAR(20) cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid), UNIQUE (cid, grade)) Foreign Keys A Foreign Key is a field whose values are keys in another relation. Foreign Keys, Referential Integrity Foreign key : Set of fields in one relation that is used to `refer to a tuple in another relation. Must correspond to primary key of the second relation. Like a `logical pointer. E.g. sid is a foreign key referring to : (sid: string, cid: string, grade: string) If all foreign key constraints are enforced, referential integrity is achieved (i.e., no dangling references.) Foreign Keys in SQL Only students listed in the relation should be allowed to enroll for courses. CREATE TABLE (sid CHAR(20), cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid,cid), FOREIGN KEY (sid) REFERENCES ) sid cid grade 53666 Carnatic101 C 53666 Reggae203 B 53650 Topology112 A 53666 History105 B 4

Integrity Constraints (ICs) IC: condition that must be true for any instance of the database; e.g., domain constraints. ICs are specified when schema is defined. ICs are checked when relations are modified. A legalinstance of a relation is one that satisfies all specified ICs. DBMS should not allow illegal instances. If the DBMS checks ICs, stored data is more faithful to real-world meaning. Avoids data entry errors, too! Where do ICs Come From? ICs are based upon the semantics of the real-world that is being described in the database relations. We can check a database instance to see if an IC is violated, but we can NEVER infer that an IC is true by looking at an instance. An IC is a statement about all possible instances! From example, we know name is not a key, but the assertion that sid is a key is given to us. Key and foreign key ICs are the most common; more general ICs supported too. sid cid grade 53666 Carnatic101 C 53666 Reggae203 B 53650 Topology112 A 53666 History105 B Enforcing Referential Integrity Remember and ; sid in is a foreign key that references. What should be done if an tuple with a non-existent student id is inserted? (Reject it!) What should be done if a tuple is deleted? Also delete all tuples that refer to it. Disallow deletion of a tuple that is referred to. Set sid in tuples that refer to it to a defaultsid. (In SQL, also: Set sid in tuples that refer to it to a special value null, denoting `unknown or `inapplicable.) Relational Query Languages A major strength of the relational model: supports simple, powerful querying of data. Queries can be written intuitively, and the DBMS is responsible for efficient evaluation. The key: precise semantics for relational queries. Allows the optimizer to extensively re-order operations, and still ensure that the answer does not change. Similar if primary key of tuple is updated. The SQL Query Language The most widely used relational query language. Current std is SQL99; SQL92 is a basic subset To find all 18 year old students, we can write: SELECT * FROM S WHERE S.age=18 To find just names and logins, replace the first line: SELECT S.name, S.login 53688 Smith smith@ee 18 3.2 Querying Multiple Relations What does the following query compute? SELECT S.name, E.cid FROM S, E WHERE S.sid=E.sid AND E.grade='A' Given the following instance of we get: sid cid grade 53831 Carnatic101 C 53831 Reggae203 B 53650 Topology112 A 53666 History105 B S.name Smith E.cid Topology112 5

Semantics of a Query SELECT S.name, E.cid FROM S, E WHERE S.sid=E.sid AND E.grade='A' A conceptual evaluation method for the query: 1. FROM clause: compute cross-product of, 2. WHERE clause: Check conditions, discard tuples that fail 3. SELECT clause: Delete unwanted fields Remember, this is conceptual. Actual evaluation will be much more efficient, (but must produce the same answers) Cross-product of and Instances S.sid S.name S.login S.age S.gpa E.sid E.cid E.grade 53831 Carnatic101 C 53832 Reggae203 B 53650 Topology112 A 53666 History105 B 53688 Smith smith@ee 18 3.2 53831 Carnatic101 C 53688 Smith smith@ee 18 3.2 53831 Reggae203 B 53688 Smith smith@ee 18 3.2 53650 Topology112 A 53688 Smith smith@ee 18 3.2 53666 History105 B 53831 Carnatic101 C 53831 Reggae203 B 53650 Topology112 A 53666 History105 B Relational Model: Summary A tabular representation of data. Simple and intuitive, currently the most widely used Object-relational variant gaining ground XML support being added Integrity constraints can be specified by the DBA, based on application semantics. DBMS checks for violations. Two important ICs: primary and foreign keys In addition, we always have domain constraints. Powerful and natural query languages exist. 6