CS 4320 SQL Fun. With Justin Miron
|
|
- Marjorie McDonald
- 6 years ago
- Views:
Transcription
1 CS 4320 SQL Fun With Justin Miron
2 The Scenario Students(snum INTEGER, sname NVARCHAR(50), major NVARCHAR(50), level NVARCHAR(50), age INTEGER) Class(class_id INTEGER, cname NVARCHAR(50), meets_at TIME, room NVARCHAR(50)) Enrolled(snum INTEGER, class_name STRING) Faculty(faculty_id INTEGER, name NARCHAR(50), dept_id INTEGER) What are the FOREIGN and PRIMARY keys?
3 Warm up - Together! Question 1: 1:M Find the name of all Juniors (level = JR who are enrolled in a class taught by Barack Obama
4 Finding Obama s Juniors 1. Find all classes taught by Barack Obama SELECT * FROM Class C, Faculty F WHERE F.faculty_id = C.faculty_id AND F.name = Barack Obama Find the name of all Juniors (level = JR who are enrolled in a class taught by Barack Obama 2. Find all Juniors enrolled in a specific class SELECT * FROM Students S, Enrolled E WHERE S.snum = C.snum AND E.cname = CS4320 AND S.level = JR
5 Putting it all together 1. Find all classes taught by Barack Obama SELECT * FROM Class C, Faculty F WHERE F.faculty_id = C.faculty_id AND F.name = Barack Obama 2. Find all Juniors enrolled in a specific class SELECT * FROM Students S, Enrolled E WHERE S.snum = C.snum AND E.cname = CS4320 AND S.level = JR Find the name of all Juniors (level = JR who are enrolled in a class taught by Barack Obama SOLUTION: SELECT S.sname FROM Class C, Faculty F, Students S, Enrolled E WHERE F.faculty_id = C.faculty_id AND F.name = Barack Obama AND S.snum = E.snum AND E.cname = C.cname AND S.level = JR
6 The Question after the first Question 2 Hint 1: MAX aggregate Hint 2: Nested Query Find the age of the oldest student who is either a CS major or enrolled in a class taught by Justin Miron
7 The Answer Find the age of the oldest student who is either a CS major or enrolled in a class taught by Justin Miron SELECT MAX(s.age) FROM Student S WHERE (S.major = CS ) OR S.num IN (SELECT E.snum FROM Class C, Enrolled E, Faculty F WHERE E.cname = C.name AND C.faculty_id = F.faculty_id AND F.fname = Justin Miron ) All the students enrolled in a class taught by Justin Miron
8 The last question before we change it up a bit Question 3 Hint 1: GROUP Hint 2: BY For each student level EXCEPT JR, return the average age of students at that level in (level, average age) pairs.
9 The Answer SELECT S.level, AVG (S.age) FROM Student S WHERE S.level!= JR GROUP BY S.level For each student level EXCEPT JR, return the average age of students at that level in (level, average age) pairs. sname level age Rory FR 19 level age Jess SO 19 Lorelai SO 35 Luke SE 40 FR 19 SO 27 SE Paris SE 19 Logan SE 20
10 Scenario Number Zoo Animals(animal_id INTEGER, name NVARCHAR(50), species NVARCHAR(50), danger INTEGER, age INTEGER, enclosure_id INTEGER) Enclosure(enclosure_id INTEGER, name NVARCHAR(50), niceness INTEGER, vlog_id INTEGER) VisitorLog(vlog_id INTEGER, name NVARCHAR(50), happiness INTEGER)
11 Scenario Number Zoo
12 Breaking the question down For each species, find the ratio of average enclosure niceness to average danger. - Ratio - Math - For each species - Probably a GROUP BY - Average - Aggregates
13 What is the SQL Query For each species, find the ratio of average enclosure niceness to average danger. SELECT A.species, AVG(E.niceness)/AVG(A.danger) FROM Animals A, Enclosure E WHERE A.enclosure_id = E.enclosure_id GROUP BY A.species
14 Break this question down Find the maximum happiness of any visitor for each enclosure with an animal older than 12 - Three table join (Animals - happiness, Enclosure - vlog_id, VisitorLog vlog_id) - WHERE Animals.age > 12 - Aggregate - MAX(VisitorLog.happiness) - GROUP BY enclosure_id
15 What is the SQL Query Find the maximum happiness of any visitor for each enclosure with an animal older than 12 SELECT E.enclosure_id, MAX(V.happiness) FROM Animals A, Enclosure E, VisitorLog V WHERE V.vlog_id = E.vlog_id AND A.enclosure_id = E.enclosure_id GROUP BY E.enclosure_id HAVING ANY(A.age) > 12
16 Scenario Number Zoo Question N What is the hardest single SQL query question you can come up with?
17 Scenario Number Zoo Question N+1 What characterizes the query you came up with?
18 Scenario Number Zoo Question N+2 Write the SQL query.
SQL - Lecture 3 (Aggregation, etc.)
SQL - Lecture 3 (Aggregation, etc.) INFS 614 INFS614 1 Example Instances S1 S2 R1 sid bid day 22 101 10/10/96 58 103 11/12/96 sid sname rating age 22 dustin 7 45.0 31 lubber 8 55.5 58 rusty 10 35.0 sid
More information1. (a) Briefly explain the Database Design process. (b) Define these terms: Entity, Entity set, Attribute, Key. [7+8] FIRSTRANKER
Code No: R09220502 R09 Set No. 2 1. (a) Briefly explain the Database Design process. (b) Define these terms: Entity, Entity set, Attribute, Key. [7+8] 2. Explain schema refinement in Database Design? [15]
More informationCSEN 501 CSEN501 - Databases I
CSEN501 - Databases I Lecture 5: Structured Query Language (SQL) Prof. Dr. Slim slim.abdennadher@guc.edu.eg German University Cairo, Faculty of Media Engineering and Technology Structured Query Language:
More informationDatabase Management Systems. Chapter 5
Database Management Systems Chapter 5 SQL Example Instances We will use these instances of the Sailors and Reserves relations in our examples. If the key for the Reserves relation contained only the attributes
More informationDatabase Management Systems
ADIKAVI NANNAYA UNIVERSITY CBCS/SEMESTER SYSTEM IV SEMESTER BACHELOR OF COMPUTER APPLICATIONS (w.e.f. 2015-16 Admitted Batch) Database Management Systems Unit-I: Database Systems Introduction and Fundamentals:
More information1 (10) 2 (8) 3 (12) 4 (14) 5 (6) Total (50)
Student number: Signature: UNIVERSITY OF VICTORIA Faculty of Engineering Department of Computer Science CSC 370 (Database Systems) Instructor: Daniel M. German Midterm Oct 21, 2004 Duration: 60 minutes
More informationSQL-Nested Queries & Aggregate functions. Lecture By Binu Jasim 02-Aug-2016
SQL-Nested Queries & Aggregate functions Lecture By Binu Jasim 02-Aug-2016 Student rollno name dept CGPA 123 Alice CSE 8.2 201 Bob EEE 5.6 399 Cherry CSE 8.2 Course rollno cname dept marks 123 DBMS CSE
More informationDatabase Applications (15-415)
Database Applications (15-415) SQL-Part II Lecture 8, February 2, 2016 Mohammad Hammoud Today Last Session: Standard Query Language (SQL)- Part I Today s Session: Standard Query Language (SQL)- Part II
More informationCS 348 Introduction to Database Management Assignment 2
CS 348 Introduction to Database Management Assignment 2 Due: 30 October 2012 9:00AM Returned: 8 November 2012 Appeal deadline: One week after return Lead TA: Jiewen Wu Submission Instructions: By the indicated
More informationMore on SQL Nested Queries Aggregate operators and Nulls
Today s Lecture More on SQL Nested Queries Aggregate operators and Nulls Winter 2003 R ecom m en ded R eadi n g s Chapter 5 Section 5.4-5.6 http://philip.greenspun.com/sql/ Simple queries, more complex
More informationBasic form of SQL Queries
SQL - 1 Week 6 Basic form of SQL Queries SELECT FROM WHERE target-list relation-list qualification target-list A list of attributes of output relations in relation-list relation-list A list of relation
More informationDatabase Applications (15-415)
Database Applications (15-415) SQL-Part I Lecture 7, January 31, 2016 Mohammad Hammoud Today Last Session: Relational Calculus & Summary Today s Session: Standard Query Language (SQL)- Part I Announcements:
More informationQMP 7.1 D/D Channabasaveshwara Institute of Technology (An ISO 9001:2008 Certified Institution) NH 206 (B.H. Road), Gubbi, Tumkur Karnataka.
QMP 7.1 D/D Channabasaveshwara Institute of Technology (An ISO 9001:2008 Certified Institution) NH 206 (B.H. Road), Gubbi, Tumkur 572 216. Karnataka. Department of Information Science & Engineering SYLLABUS
More informationSQL Data Manipulation Language. Lecture 5. Introduction to SQL language. Last updated: December 10, 2014
Lecture 5 Last updated: December 10, 2014 Throrought this lecture we will use the following database diagram Inserting rows I The INSERT INTO statement enables inserting new rows into a table. The basic
More informationSQL. Chapter 5 FROM WHERE
SQL Chapter 5 Instructor: Vladimir Zadorozhny vladimir@sis.pitt.edu Information Science Program School of Information Sciences, University of Pittsburgh 1 Basic SQL Query SELECT FROM WHERE [DISTINCT] target-list
More informationOperator Implementation Wrap-Up Query Optimization
Operator Implementation Wrap-Up Query Optimization 1 Last time: Nested loop join algorithms: TNLJ PNLJ BNLJ INLJ Sort Merge Join Hash Join 2 General Join Conditions Equalities over several attributes (e.g.,
More informationIntroduction to Databases
Introduction to Databases Data Retrival SELECT * FROM Students S WHERE S.age < 18 Data Retrival SELECT S.name, S.login FROM Students S WHERE S.age < 18 Entity sets to tables Entity sets to tables CREATE
More informationSQL: Queries, Constraints, Triggers
SQL: Queries, Constraints, Triggers [R&G] Chapter 5 CS4320 1 Example Instances We will use these instances of the Sailors and Reserves relations in our examples. If the key for the Reserves relation contained
More informationSQL Lab Query 5. More SQL Aggregate Queries, Null Values. SQL Lab Query 8. SQL Lab Query 5. SQL Lab Query 8. SQL Lab Query 9
SQL Lab Query 5 Sailors sid sname rating age Reserves sid bid day Boats bid name color More SQL Aggregate Queries, Null Values Slides based on Database Management Systems 3 rd ed, Ramakrishnan and Gehrke
More informationLecture 3 More SQL. Instructor: Sudeepa Roy. CompSci 516: Database Systems
CompSci 516 Database Systems Lecture 3 More SQL Instructor: Sudeepa Roy Duke CS, Fall 2018 CompSci 516: Database Systems 1 Announcements HW1 is published on Sakai: Resources -> HW -> HW1 folder Due on
More informationCOMP 244 DATABASE CONCEPTS & APPLICATIONS
COMP 244 DATABASE CONCEPTS & APPLICATIONS Querying Relational Data 1 Querying Relational Data A query is a question about the data and the answer is a new relation containing the result. SQL is the most
More informationLAB 3 Part 1 ADBC - Interactive SQL Queries-Advanced
LAB 3 Part 1 ADBC - Interactive SQL Queries-Advanced ***For each question Create the SQL query that solves the problem Write all SQL statements in the same script file and save into a text file called
More informationLecture 3 SQL - 2. Today s topic. Recap: Lecture 2. Basic SQL Query. Conceptual Evaluation Strategy 9/3/17. Instructor: Sudeepa Roy
CompSci 516 Data Intensive Computing Systems Lecture 3 SQL - 2 Instructor: Sudeepa Roy Announcements HW1 reminder: Due on 09/21 (Thurs), 11:55 pm, no late days Project proposal reminder: Due on 09/20 (Wed),
More informationRelational Algebra for sets Introduction to relational algebra for bags
Relational Algebra for sets Introduction to relational algebra for bags Thursday, September 27, 2012 1 1 Terminology for Relational Databases Slide repeated from Lecture 1... Account Number Owner Balance
More informationSQL Aggregation and Grouping. Outline
SQL Aggregation and Grouping Davood Rafiei 1 Outline Aggregation functions Grouping Examples using the following tables: 2 Aggregates Functions that operate on sets: COUNT, SUM, AVG, MAX, MIN Produce numbers
More informationSQL Aggregation and Grouping. Davood Rafiei
SQL Aggregation and Grouping Davood Rafiei 1 Outline Aggregation functions Grouping Examples using the following tables: 2 Aggregates Functions that operate on sets: COUNT, SUM, AVG, MAX, MIN Produce numbers
More informationCSIT5300: Advanced Database Systems
CSIT5300: Advanced Database Systems E10: Exercises on Query Processing Dr. Kenneth LEUNG Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong SAR,
More informationConceptual Design. The Entity-Relationship (ER) Model
Conceptual Design. The Entity-Relationship (ER) Model CS430/630 Lecture 12 Slides based on Database Management Systems 3 rd ed, Ramakrishnan and Gehrke Relationship Set Representation ssn name lot since
More informationScore. 1 (10) 2 (10) 3 (8) 4 (13) 5 (9) Total (50)
Student number: Signature: UNIVERSITY OF VICTORIA Faculty of Engineering Department of Computer Science CSC 370 (Database Systems) Instructor: Daniel M. German Midterm 18 June 2003 Duration: 75 minutes
More informationDatabase Systems. October 12, 2011 Lecture #5. Possessed Hands (U. of Tokyo)
Database Systems October 12, 2011 Lecture #5 1 Possessed Hands (U. of Tokyo) 2 1 Course Administration Assignment #2 will be out on the course homepage. It is due in two weeks (Oct. 26, 2011). Assignment
More informationSQL - Data Query language
SQL - Data Query language Eduardo J Ruiz October 20, 2009 1 Basic Structure The simple structure for a SQL query is the following: select a1...an from t1... tr where C Where t 1... t r is a list of relations
More informationDatabase Systems ( 資料庫系統 )
Database Systems ( 資料庫系統 ) October /24, 200 Lecture #5 1 Intimate Computing Can digital technology express intimacy? as something that relates to our innermost selves, something personal, closely felt
More informationDatabase Management Systems. Chapter 5
Database Management Systems Chapter 5 SQL Example Instances We will use these instances of the Sailors and Reserves relations in our examples. If the key for the Reserves relation contained only the attributes
More informationWHAT IS SQL. Database query language, which can also: Define structure of data Modify data Specify security constraints
SQL KEREM GURBEY WHAT IS SQL Database query language, which can also: Define structure of data Modify data Specify security constraints DATA DEFINITION Data-definition language (DDL) provides commands
More informationDatabases II: Microsoft Access
Recapitulation Databases II: Microsoft Access CS111, 2016 A database is a collection of data that is systematically organized, so as to allow efficient addition, modification, removal and retrieval. A
More informationExample Examination. Allocated Time: 100 minutes Maximum Points: 250
CS542 EXAMPLE EXAM Elke A. Rundensteiner Example Examination Allocated Time: 100 minutes Maximum Points: 250 STUDENT NAME: General Instructions: This test is a closed book exam (besides one cheat sheet).
More informationSecurity and Authorization
Security and Authorization Sub-sets of SQL Data retrieval: SELECT Data Manipulation Language (DML): INSERT, UPDATE, DELETE Data Definition Language (DDL): CREATE, ALTER, DROP, RENAME Transaction control:
More informationCS 4604: Introduc0on to Database Management Systems. B. Aditya Prakash Lecture #3: SQL and Rela2onal Algebra- - - Part 1
CS 4604: Introduc0on to Database Management Systems B. Aditya Prakash Lecture #3: SQL and Rela2onal Algebra- - - Part 1 Reminder: Rela0onal Algebra Rela2onal algebra is a nota2on for specifying queries
More informationCS 327E Class 3. February 11, 2019
CS 327E Class 3 February 11, 2019 1) A join is used to concatenate rows from two tables that are related via referential integrity. For example, joining T and U on T.b and U.b produces V when projecting
More informationThe SQL Query Language. Creating Relations in SQL. Adding and Deleting Tuples. Destroying and Alterating Relations. Conceptual Evaluation Strategy
The SQ Query anguage Developed by IBM (system R) in the 1970s Need for a standard since it is used by many vendors Standards: SQ-86 SQ-89 (minor revision) SQ-92 (major revision, current standard) SQ-99
More informationPart I: Structured Data
Inf1-DA 2011 2012 I: 92 / 117 Part I Structured Data Data Representation: I.1 The entity-relationship (ER) data model I.2 The relational model Data Manipulation: I.3 Relational algebra I.4 Tuple-relational
More informationLecture 2 SQL. Instructor: Sudeepa Roy. CompSci 516: Data Intensive Computing Systems
CompSci 516 Data Intensive Computing Systems Lecture 2 SQL Instructor: Sudeepa Roy Duke CS, Spring 2016 CompSci 516: Data Intensive Computing Systems 1 Announcement If you are enrolled to the class, but
More informationSQL: Queries, Programming, Triggers
SQL: Queries, Programming, Triggers CSC343 Introduction to Databases - A. Vaisman 1 Example Instances We will use these instances of the Sailors and Reserves relations in our examples. If the key for the
More informationHomework 1: RA, SQL and B+-Trees (due Feb 7, 2017, 9:30am, in class hard-copy please)
Virginia Tech. Computer Science CS 5614 (Big) Data Management Systems Spring 2017, Prakash Homework 1: RA, SQL and B+-Trees (due Feb 7, 2017, 9:30am, in class hard-copy please) Reminders: a. Out of 100
More informationCS 4604: Introduc0on to Database Management Systems. B. Aditya Prakash Lecture #4: Subqueries in SQL
CS 4604: Introduc0on to Database Management Systems B. Aditya Prakash Lecture #4: Subqueries in SQL Announcements Project assignment 1 due today Homework 1 released today due next Friday 2/8 SQL and RelaEonal
More informationHomework 1: RA, SQL and B+-Trees (due September 24 th, 2014, 2:30pm, in class hard-copy please)
Virginia Tech. Computer Science CS 5614 (Big) Data Management Systems Fall 2014, Prakash Homework 1: RA, SQL and B+-Trees (due September 24 th, 2014, 2:30pm, in class hard-copy please) Reminders: a. Out
More informationCS 186, Fall 2002, Lecture 8 R&G, Chapter 4. Ronald Graham Elements of Ramsey Theory
Relational Calculus CS 186, Fall 2002, Lecture 8 R&G, Chapter 4 We will occasionally use this arrow notation unless there is danger of no confusion. Ronald Graham Elements of Ramsey heory Relational Calculus
More informationDatabase Management Systems. Chapter 5
Database Management Systems Chapter 5 SQL Example Instances We will use these instances of the Sailors and Reserves relations in our examples. If the key for the Reserves relation contained only the attributes
More informationHW1 is due tonight HW2 groups are assigned. Outline today: - nested queries and witnesses - We start with a detailed example! - outer joins, nulls?
L05: SQL 183 Announcements! HW1 is due tonight HW2 groups are assigned Outline today: - nested queries and witnesses - We start with a detailed example! - outer joins, nulls? 184 Small IMDB schema (SQLite)
More informationIntroduction to Data Management. Lecture 14 (SQL: the Saga Continues...)
Introduction to Data Management Lecture 14 (SQL: the Saga Continues...) Instructor: Mike Carey mjcarey@ics.uci.edu Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Announcements v HW and
More informationCS2300: File Structures and Introduction to Database Systems
CS2300: File Structures and Introduction to Database Systems Lecture 9: Relational Model & Relational Algebra Doug McGeehan 1 Brief Review Relational model concepts Informal Terms Formal Terms Table Relation
More informationCS 186, Fall 1999 Midterm 2 Professor Hawthorn
CS 186, Fall 1999 Midterm 2 Professor Hawthorn REFERENCE DATABASE. This is the Reference Database referred to in this exam. There are four tables. SALESPERSON contains the names, ids, regions & quotas
More informationCS 582 Database Management Systems II
Review of SQL Basics SQL overview Several parts Data-definition language (DDL): insert, delete, modify schemas Data-manipulation language (DML): insert, delete, modify tuples Integrity View definition
More informationKeys, SQL, and Views CMPSCI 645
Keys, SQL, and Views CMPSCI 645 SQL Overview SQL Preliminaries Integrity constraints Query capabilities SELECT-FROM- WHERE blocks, Basic features, ordering, duplicates Set ops (union, intersect, except)
More informationCMPT 354: Database System I. Lecture 2. Relational Model
CMPT 354: Database System I Lecture 2. Relational Model 1 Outline An overview of data models Basics of the Relational Model Define a relational schema in SQL 2 Outline An overview of data models Basics
More informationIntroduction to Database Systems
Introduction to Database Systems Introduction to Database Systems So, what is a database, anyway? An integrated, self-describing collection of data about related sets of things and the relationships among
More informationMidterm Exam (Version B) CS 122A Spring 2017
NAME: SOLUTION SEAT NO.: STUDENT ID: Midterm Exam (Version B) CS 122A Spring 2017 Max. Points: 100 (Please read the instructions carefully) Instructions: - The total time for the exam is 80 minutes; be
More informationMidterm 2: CS186, Spring 2015
Midterm 2: CS186, Spring 2015 Prof. J. Hellerstein You should receive a double-sided answer sheet and an 8-page exam. Mark your name and login on both sides of the answer sheet, and in the blanks above.
More informationDatabase Management Systems. Chapter 3 Part 1
Database Management Systems Chapter 3 Part 1 The Relational Model Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Why Study the Relational Model? Most widely used model. Vendors: IBM,
More informationMidterm Exam #2 (Version A) CS 122A Winter 2017
NAME: SEAT NO.: STUDENT ID: Midterm Exam #2 (Version A) CS 122A Winter 2017 Max. Points: 100 (Please read the instructions carefully) Instructions: - The total time for the exam is 50 minutes; be sure
More informationSAMPLE QUESTIONS FOR PhD QUALIFYING EXAMINATION SE/CS 6329 Object-Oriented Software Engineering
SAMPLE QUESTIONS FOR PhD QUALIFYING EXAMINATION SE/CS 6329 Object-Oriented Software Engineering System under Study: The software to be designed will control a simulated automated teller machine (ATM) having
More informationEnterprise Database Systems
Enterprise Database Systems Technological Educational Institution of Larissa in collaboration with Staffordshire University Larissa 2006 Dr. Georgia Garani garani@teilar.gr Dr. Theodoros Mitakos teo_ms@yahoo.com
More informationRef1 for STUDENT RECORD DB: Ref2 for COMPANY DB:
Lect#5: SQL Ref1 for STUDENT RECORD DB: Database Design and Implementation Edward Sciore, Boston College ISBN: 978-0-471-75716-0 Ref2 for COMPANY DB: Fund. of Database Systems, Elmasri, Navathe, 5th ed.,
More informationCS 186, Fall 1999 Midterm 2 Professor Hawthorn
CS 186, Fall 1999 Midterm 2 Professor Hawthorn REFERENCE DATABASE. This is the Reference Database referred to in this exam. There are four tables. SALESPERSON contains the names, ids, regions & quotas
More informationCSIT5300: Advanced Database Systems
CSIT5300: Advanced Database Systems L10: Query Processing Other Operations, Pipelining and Materialization Dr. Kenneth LEUNG Department of Computer Science and Engineering The Hong Kong University of Science
More informationThe Relational Model
The Relational Model UVic C SC 370, Fall 2002 Daniel M. German Department of Computer Science University of Victoria September 25, 2002 Version: 1.03 3 1 The Relational Model (1.03) CSC 370 dmgerman@uvic.ca
More informationSchool of Computing and Information Technology Session: Spring CSCI835 Database Systems (Bridging Subject) Sample class test 23 July 2018
School of Computing and Information Technology Session: Spring 2018 University of Wollongong Lecturer: Janusz R. Getta CSCI835 Database Systems (Bridging Subject) Sample class test 23 July 2018 THE QUESTIONS
More informationSQL: Queries, Programming, Triggers. Basic SQL Query. Conceptual Evaluation Strategy. Example of Conceptual Evaluation. A Note on Range Variables
SQL: Queries, Programming, Triggers Chapter 5 Database Management Systems, R. Ramakrishnan and J. Gehrke 1 R1 Example Instances We will use these instances of the Sailors and Reserves relations in our
More informationCarnegie Mellon Univ. Dept. of Computer Science Database Applications. General Overview - rel. model. Overview - detailed - SQL
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications Faloutsos Lecture#6: Rel. model - SQL part1 General Overview - rel. model Formal query languages rel algebra and calculi Commercial
More informationEECS 647: Introduction to Database Systems
EECS 647: Introduction to Database Systems Instructor: Luke Huan Spring 2009 Stating Points A database A database management system A miniworld A data model Conceptual model Relational model 2/24/2009
More informationSQL: The Query Language Part 1. Relational Query Languages
SQL: The Query Language Part 1 CS 186, Fall 2002, Lecture 9 R &G - Chapter 5 Life is just a bowl of queries. -Anon (not Forrest Gump) Relational Query Languages A major strength of the relational model:
More informationSubquery: There are basically three types of subqueries are:
Subquery: It is also known as Nested query. Sub queries are queries nested inside other queries, marked off with parentheses, and sometimes referred to as "inner" queries within "outer" queries. Subquery
More informationA Sample Solution to the Midterm Test
CS3600.1 Introduction to Database System Fall 2016 Dr. Zhizhang Shen A Sample Solution to the Midterm Test 1. A couple of W s(10) (a) Why is it the case that, by default, there are no duplicated tuples
More informationAssignment 3: SQL SELECT Queries
Assignment 3: SQL SELECT Queries Install MySQL on your computer ("sudo apt-get install mysql-server" on Ubuntu Linux / or follow instructions for your o/s installs). Put the following lines in ~/.my.cnf
More informationCompSci 516 Database Systems. Lecture 2 SQL. Instructor: Sudeepa Roy
CompSci 516 Database Systems Lecture 2 SQL Instructor: Sudeepa Roy Duke CS, Fall 2018 1 Announcements If you are enrolled to the class, but have not received the email from Piazza, please send me an email
More informationCIS 330: Applied Database Systems
1 CIS 330: Applied Database Systems Lecture 7: SQL Johannes Gehrke johannes@cs.cornell.edu http://www.cs.cornell.edu/johannes Logistics Office hours role call: Mondays, 3-4pm Tuesdays, 4:30-5:30 Wednesdays,
More informationChapter 3: Introduction to SQL. Chapter 3: Introduction to SQL
Chapter 3: Introduction to SQL Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Chapter 3: Introduction to SQL Overview of The SQL Query Language Data Definition Basic Query
More informationThe Relational Model. Relational Data Model Relational Query Language (DDL + DML) Integrity Constraints (IC)
The Relational Model Relational Data Model Relational Query Language (DDL + DML) Integrity Constraints (IC) Why Study the Relational Model? Most widely used model in Commercial DBMSs: Vendors: IBM, Microsoft,
More informationCSC343 Fall 2007 Assignment 2 SQL and Embedded SQL
CSC343 Fall 2007 Assignment 2 SQL and Embedded SQL Distribution date: Friday, October 26, 2007 Due date: Monday, November 12, 2007 1:00 p.m. Instructions 1. Read this assignment thoroughly before you proceed.
More informationRelational Query Optimization. Highlights of System R Optimizer
Relational Query Optimization Chapter 15 Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Highlights of System R Optimizer v Impact: Most widely used currently; works well for < 10 joins.
More informationDatabase Management Systems
Sample Questions 1 Write SQL query to create a table for describing a book. The table should have Book Title, Author, Publisher, Year published, and ISBN fields. Your table should have a primary key. For
More informationRelational data model
Relational data model Iztok Savnik FAMNIT, 18/19 Why Study the Relational Model? Most widely used model. Vendors: IBM, Informix, Microsoft, Oracle, Sybase, etc. Legacy systems in older models E.G., IBM
More informationAnnouncements (September 18) SQL: Part II. Solution 1. Incomplete information. Solution 3? Solution 2. Homework #1 due today (11:59pm)
Announcements (September 18) 2 SQL: Part II Homework #1 due today (11:59pm) Submit in class, slide underneath my office door Sample solution available Thursday Homework #2 assigned today CPS 116 Introduction
More informationLecture 2 SQL. Announcements. Recap: Lecture 1. Today s topic. Semi-structured Data and XML. XML: an overview 8/30/17. Instructor: Sudeepa Roy
Announcements CompSci 516 Data Intensive Computing Systems Lecture 2 SQL Instructor: Sudeepa Roy If you are enrolled to the class, but have not received the email from Piazza, please send me an email All
More informationRelational Algebra Homework 0 Due Tonight, 5pm! R & G, Chapter 4 Room Swap for Tuesday Discussion Section Homework 1 will be posted Tomorrow
Relational Algebra R & G, Chapter 4 By relieving the brain of all unnecessary work, a good notation sets it free to concentrate on more advanced problems, and, in effect, increases the mental power of
More informationIntroduction to Database Systems
Introduction to Database Systems UVic C SC 370 Daniel M German Introduction to Database Systems (1.2.0) CSC 370 4/5/2005 14:51 p.1/27 Overview What is a DBMS? what is a relational DBMS? Why do we need
More informationDatabase Systems Fundamentals
Database Systems Fundamentals Using PHP Language Arman Malekzade Amirkabir University of Technology (Tehran Polytechnic) Notice: The class is held under the supervision of Dr.Shiri github.com/arman-malekzade
More informationSQL DDL. CS3 Database Systems Weeks 4-5 SQL DDL Database design. Key Constraints. Inclusion Constraints
SQL DDL CS3 Database Systems Weeks 4-5 SQL DDL Database design In its simplest use, SQL s Data Definition Language (DDL) provides a name and a type for each column of a table. CREATE TABLE Hikers ( HId
More informationQuerying Data with Transact-SQL
Querying Data with Transact-SQL Course: 20761 Course Details Audience(s): IT Professional(s) Technology: Microsoft SQL Server 2016 Duration: 24 HRs. ABOUT THIS COURSE This course is designed to introduce
More informationorigin destination duration New York London 415 Shanghai Paris 760 Istanbul Tokyo 700 New York Paris 435 Moscow Paris 245 Lima New York 455
CS50 Beyond Databases origin destination duration New York London 415 Shanghai Paris 760 Istanbul Tokyo 700 New York Paris 435 Moscow Paris 245 Lima New York 455 SQL SQL Databases MySQL PostgreSQL SQLite...
More informationCS3DB3/SE4DB3/SE6M03 TUTORIAL
CS3DB3/SE4DB3/SE6M03 TUTORIAL Mei Jiang Feb 13/15, 2013 Outline Relational Algebra SQL and Relational Algebra Examples Relational Algebra Basic Operators Select: C (R) where C is a list of conditions Project:
More informationCMP-3440 Database Systems
CMP-3440 Database Systems Relational DB Languages Relational Algebra, Calculus, SQL Lecture 05 zain 1 Introduction Relational algebra & relational calculus are formal languages associated with the relational
More informationUNIVERSITY OF CALIFORNIA College of Engineering Department of EECS, Computer Science Division
UNIVERSITY OF CALIFORNIA College of Engineering Department of EECS, Computer Science Division CS186 Eben Haber Fall 2003 Midterm Midterm Exam: Introduction to Database Systems This exam has seven problems,
More informationToday 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
Today s topics CompSci 516 Data Intensive Computing Systems Lecture 4 Relational Algebra and Relational Calculus Instructor: Sudeepa Roy Finish NULLs and Views in SQL from Lecture 3 Relational Algebra
More informationSpring 2017 QUERY PROCESSING [JOINS, SET OPERATIONS, AND AGGREGATES] 2/19/17 CS 564: Database Management Systems; (c) Jignesh M.
Spring 2017 QUERY PROCESSING [JOINS, SET OPERATIONS, AND AGGREGATES] 2/19/17 CS 564: Database Management Systems; (c) Jignesh M. Patel, 2013 1 Joins The focus here is on equijoins These are very common,
More informationSection 1: Redundancy Anomalies [10 points]
CMPUT 391 Midterm Exam (O.R. Zaïane) February 23 rd, 2004 Page 2 of 8 ID# Section 1: Redundancy Anomalies [10 points] 1- (6 points) Consider the following table. Give an example of update anomaly, an example
More informationDatabases (MariaDB/MySQL) CS401, Fall 2015
Databases (MariaDB/MySQL) CS401, Fall 2015 Database Basics Relational Database Method of structuring data as tables associated to each other by shared attributes. Tables (kind of like a Java class) have
More informationSQL Part 2. Kathleen Durant PhD Northeastern University CS3200 Lesson 6
SQL Part 2 Kathleen Durant PhD Northeastern University CS3200 Lesson 6 1 Outline for today More of the SELECT command Review of the SET operations Aggregator functions GROUP BY functionality JOIN construct
More informationEECS 647: Introduction to Database Systems
EECS 647: Introduction to Database Systems Instructor: Luke Huan Spring 2009 Summary of SQL Features Query SELECT-FROM-WHERE statements Set and bag operations Table expressions, subqueries Aggregation
More informationThe Relational Model. Outline. Why Study the Relational Model? Faloutsos SCS object-relational model
The Relational Model CMU SCS 15-415 C. Faloutsos Lecture #3 R & G, Chap. 3 Outline Introduction Integrity constraints (IC) Enforcing IC Querying Relational Data ER to tables Intro to Views Destroying/altering
More information