Database Management Systems (COP 5725) Homework 2

Size: px
Start display at page:

Download "Database Management Systems (COP 5725) Homework 2"

Transcription

1 Database Management Systems (COP 5725) Homework 2 Instructor: Dr. Daisy Zhe Wang TAs: Yang Chen, Kun Li, Yang Peng yang, kli, ypeng@cise.uf l.edu October 8, 2013 Name: UFID: Address: Pledge(Must be signed according to UF Honor Code) On my honor, I have neither given nor received unauthorized aid in doing this assignment. Signature For grading use only: Question: I II III IV Total Points: Score: i

2 COP5725, Fall 2013 Homework 2 Page 1 of 6 I. [25 points] Advanced SQL. Consider the following database concerning World War II capital ships: Classes(class, type, country, numguns, bore, displacement) Ships(name, class, launched) Battles(name, date) Outcomes(ship, battle, result) Ships are built in classes from the same design, and the class is usually named for the first ship of that class. The relation Classes records the name of the class, the type ( bb for battleship of bc for battlecruiser), the country that built the ship, the number of main guns, the bore (diameter of the gun barrel, in inches) of the main guns, and the displacement (weight, in tons). Relation Ships records the name of the ship, the name of its class, and the year in which the ship was launched. Relation Battles gives the name and date of battles involving these ships, and relation Outcomes gives the result (sunk, damaged, or ok) for each ship in each battle. Write a SQL query for the following: (1) [5 points] For each class, find the year in which the first ship of that class was launched. Sort the results by launch years in decreasing order. SELECT C.class, MIN(S.launched) AS First_Launched FROM Classes C, Ships S WHERE C.class = S.class GROUP BY C.class ORDER BY First_Launched DESC; (2) [5 points] Find the countries of the classes with at least one ship sunk in a battle. SELECT DISTINCT C.country FROM Classes C, Ships S WHERE C.class = S.class AND S.name IN ( SELECT ship FROM Outcomes O WHERE O.result= sunk (3) [5 points] For each class with at least three ships, find the number of ships of that class sunk in battle. SELECT M.class, COUNT(result) FROM (SELECT class, name

3 COP5725, Fall 2013 Homework 2 Page 2 of 6 FROM Ships WHERE class IN ( SELECT class FROM Ships GROUP BY class HAVING COUNT(*) >= 3) ) M LEFT JOIN (SELECT ship, result FROM Outcomes WHERE result = sunk ) S ON M.name = S.ship GROUP BY M.class (4) [5 points] Find the names of the ships whose number of guns was the largest for those ships of the same bore. SELECT S.name FROM Ships S, Classes C WHERE S.Class = C.Class AND numguns >= ALL (SELECT numguns FROM Classes C2 WHERE C2.bore = C.bore Write the following database modifications: (5) [2 points] Modify the Classes relation so that gun bores are measured in centimeters (1 inch = 2.5 centimeters) and displacements are measured in metric tons (1 metric ton = 1.1 tons). UPDATE Classes SET bore = 2.5 * bore, displacement = displacement/1.1; (6) [3 points] Delete the classes with no ships. DELETE FROM Classes WHERE NOT EXISTS ( SELECT * FROM Ships WHERE Ships.class = Classes.class II. [15 points] Assertions and Triggers.

4 COP5725, Fall 2013 Homework 2 Page 3 of 6 (1) [5 points] Imagine you are running a massive database schema (such as EBAYs server) with thousands of tables and millions of transactions per day. Is it a good idea to use ASSERTIONS? Whether you chose YES or NO, please explain why, briefly. As databases get bigger, it becomes inefficient to use assertions and it essentially slows down the system. It is quite difficult to automatically figure out an efficient way to check only the tables that are being affected by specific queries, so DBMS usually ends up checking all the tables and this is simply not practical when you have millions of tables in your database system. (2) You own a bar and you have the following two tables to manage your database: 1.Drinkers(name, tolerance) 2.Drinks(drink name, drinker name, drink power) In table Drinkers, the tolerance is used to indicate the drinking tolerance of any drinker. In table Drinks, drink power is used to indicate the strength of the Drink. Both tolerance and drink power are integers. When a drinker orders a drink with certain power value, an entry about this action will be added to the Drinks table. i. [5 points] We need to gurantee that the tolerance of any drinker is inside the closed interval [0, 10]. Use ASSERTION to enforce this constraint. Version 1 Version 2 Version 3 CREATE ASSERTION Check_Tolerance CHECK ( NOT EXISTS ( SELECT * FROM DRINKER WHERE TOLERANCE IS NULL OR TOLERANCE < 0 OR TOLERANCE > 10 ) CREATE ASSERTION Check_Tolerance CHECK ( ALL (SELECT TOLERANCE FROM DRINKER) >= 0 AND ALL (SELECT TOLERANCE FROM DRINKER) <= 10 CREATE ASSERTION Check_Tolerance CHECK ( (SELECT MIN(TOLERANCE) FROM DRINKER) >= 0$ AND (SELECT MAX(TOLERANCE) FROM DRINKER) <= 10$

5 COP5725, Fall 2013 Homework 2 Page 4 of 6 ii. [5 points] When someone wants to order a drink, we need to check after this entry inserted into Drinks table, whether the sum of Drinks.drink power for that drinker stay below the drinker s tolerance value. If the tolerance is less than the the sum of drink power, we should cancel this transaction. Use a TRIGGER to enforce this constraint. (Hint: Use ROLLBACK to cancel the transaction) CREATE TRIGGER Cab_Trigger AFTER INSERT ON DRINKS REFERENCING NEW ROW AS NEWDRINK FOR EACH ROW WHEN ( (SELECT TOLERANCE FROM DRINKERS WHERE NAME=NEWDRINK.DRINKER_NAME) < (SELECT SUM(POWER) FROM DRINKS WHERE DIRNKER_NAME=NEWDRINK.DRINKER_NAME) ) ROLLBACK; III. [20 points] Disk Management. Consider a disk with a sector size of 512 bytes, 2000 tracks per surface, 50 sectors per track, five double-sided platters, and average seek time of 10 msec. Suppose a block size of 1024 bytes is chosen. A file containing 100k records of 100 bytes each is to be stored on such a disk and that no record is allowed to span two blocks. (1) [5 points] If the disk platters rotate 5400 rpm, what is the maximum rotational delay? If the disk platters rotate at 5400rpm, the time required for one complete rotation, which is the maximum rotational delay, is 1 60 = 0.011s The average rotational delay is half of the rotation time, 0.006s. Note: The definition of maximum rotational delay is the time it takes to do a full rotation excluding any spin-up time. If you use half rotation time according to the slides, we will not deduct points. (2) [5 points] If one track of data can be transferred per revolution, what is the transfer rate? The capacity of a track is 25K bytes. Since one track of data can be transferred per revolution, the data transfer rate is 25K = 2, 250KB/s

6 COP5725, Fall 2013 Homework 2 Page 5 of 6 (3) [5 points] What is the time required to read the file sequentially? What if the disk were capable of reading/writing from all heads in parallel? A file containing 100,000 records of 100 bytes needs 40 cylinders or 400 tracks in this disk. The transfer time of one track of data is seconds. Then it takes =4.4 seconds to transfer 400 tracks. This access seeks the track 40 times. The seek time is =0.4 seconds. Therefore, total access time is =4.8 seconds. If the disk were capable of reading/writing from all heads in parallel, the disk can read 10 tracks at a time. The transfer time is 10 times less, which is 0.44 seconds. Thus total access time is =0.84 seconds. (4) [5 points] What is the time required to read each block in the file in a random order? (assuming that each block request incurs the average seek time and rotational delay) For any block of data, average access time = seek time+rotational delay+transfer time. seek time = 10ms rotational delay = 6ms 1K transfer time = 2, 250K/s = 0.44ms The average access time for a block of data would be 16.44ms. For a file containing 100k records of 100 bytes, the total access time would be seconds. IV. [15 points] Buffer Management. Suppose you have a Buffer Pool that can hold 3 pages. There are 26 blocks on your disk; for simplicity we will refer to each block with a letter of the English alphabet between A and Z. An access pattern is a string of letters that log the requests to the Buffer Pool for pages. For each access pattern below, figure out the number of I/Os that would occur starting with an empty buffer pool each time, for different replacement policies. (Spaces in the access patterns are there just for legibility.) (1) [5 points] For access pattern ZYXW ZYXW, what are the numbers of I/Os that would occure for FIFO, LRU and MRU. Explain how you get the resutls. FIFO 8, LRU 8, MRU 5 (2) [5 points] For access pattern ABCD DCBA ABCD, what are the numbers of I/Os that would occure for FIFO and LRU. Explain how you get the resutls. FIFO 8, LRU 6 (3) [5 points] For access pattern ACEG BDFH ACEG BDFH, what are the numbers of I/Os that would occure for LRU and MRU. Explain how you get the resutls.

7 COP5725, Fall 2013 Homework 2 Page 6 of 6 LRU 16, MRU 13

Database Management Systems (COP 5725) Homework 3

Database Management Systems (COP 5725) Homework 3 Database Management Systems (COP 5725) Homework 3 Instructor: Dr. Daisy Zhe Wang TAs: Yang Chen, Kun Li, Yang Peng yang, kli, ypeng@cise.uf l.edu November 26, 2013 Name: UFID: Email Address: Pledge(Must

More information

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

Goals for Today. CS 133: Databases. Relational Model. Multi-Relation Queries. Reason about the conceptual evaluation of an SQL query Goals for Today CS 133: Databases Fall 2018 Lec 02 09/06 Relational Model & Memory and Buffer Manager Prof. Beth Trushkowsky Reason about the conceptual evaluation of an SQL query Understand the storage

More information

CS 186 Midterm, Spring 2003 Page 1

CS 186 Midterm, Spring 2003 Page 1 UNIVERSITY OF CALIFORNIA College of Engineering Department of EECS, Computer Science Division CS 186 Spring 2003 J. Hellerstein Midterm Midterm Exam: Introduction to Database Systems This exam has five

More information

Assignment 3: SQL SELECT Queries

Assignment 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 information

CPSC 421 Database Management Systems. Lecture 11: Storage and File Organization

CPSC 421 Database Management Systems. Lecture 11: Storage and File Organization CPSC 421 Database Management Systems Lecture 11: Storage and File Organization * Some material adapted from R. Ramakrishnan, L. Delcambre, and B. Ludaescher Today s Agenda Start on Database Internals:

More information

CS-245 Database System Principles

CS-245 Database System Principles CS-245 Database System Principles Midterm Exam Summer 2001 SOLUIONS his exam is open book and notes. here are a total of 110 points. You have 110 minutes to complete it. Print your name: he Honor Code

More information

CSE 444 Homework 1 Relational Algebra, Heap Files, and Buffer Manager. Name: Question Points Score Total: 50

CSE 444 Homework 1 Relational Algebra, Heap Files, and Buffer Manager. Name: Question Points Score Total: 50 CSE 444 Homework 1 Relational Algebra, Heap Files, and Buffer Manager Name: Question Points Score 1 10 2 15 3 25 Total: 50 1 1 Simple SQL and Relational Algebra Review 1. (10 points) When a user (or application)

More information

Disks & Files. Yanlei Diao UMass Amherst. Slides Courtesy of R. Ramakrishnan and J. Gehrke

Disks & Files. Yanlei Diao UMass Amherst. Slides Courtesy of R. Ramakrishnan and J. Gehrke Disks & Files Yanlei Diao UMass Amherst Slides Courtesy of R. Ramakrishnan and J. Gehrke DBMS Architecture Query Parser Query Rewriter Query Optimizer Query Executor Lock Manager for Concurrency Access

More information

Disks, Memories & Buffer Management

Disks, Memories & Buffer Management Disks, Memories & Buffer Management The two offices of memory are collection and distribution. - Samuel Johnson CS3223 - Storage 1 What does a DBMS Store? Relations Actual data Indexes Data structures

More information

CS 245 Midterm Exam Solution Winter 2015

CS 245 Midterm Exam Solution Winter 2015 CS 245 Midterm Exam Solution Winter 2015 This exam is open book and notes. You can use a calculator and your laptop to access course notes and videos (but not to communicate with other people). You have

More information

Database Management Systems (COP 5725) (Spring 2007)

Database Management Systems (COP 5725) (Spring 2007) Database Management Systems (COP 5725) (Spring 2007) Instructor: Dr. Markus Schneider TA: Imran Hassan Ganesh Viswanathan One-Third Exam You have 100 minutes to complete the exam. Please read the entire

More information

STORING DATA: DISK AND FILES

STORING DATA: DISK AND FILES STORING DATA: DISK AND FILES CS 564- Spring 2018 ACKs: Dan Suciu, Jignesh Patel, AnHai Doan WHAT IS THIS LECTURE ABOUT? How does a DBMS store data? disk, SSD, main memory The Buffer manager controls how

More information

Disks and Files. Storage Structures Introduction Chapter 8 (3 rd edition) Why Not Store Everything in Main Memory?

Disks and Files. Storage Structures Introduction Chapter 8 (3 rd edition) Why Not Store Everything in Main Memory? Why Not Store Everything in Main Memory? Storage Structures Introduction Chapter 8 (3 rd edition) Sharma Chakravarthy UT Arlington sharma@cse.uta.edu base Management Systems: Sharma Chakravarthy Costs

More information

Outlines. Chapter 2 Storage Structure. Structure of a DBMS (with some simplification) Structure of a DBMS (with some simplification)

Outlines. Chapter 2 Storage Structure. Structure of a DBMS (with some simplification) Structure of a DBMS (with some simplification) Outlines Chapter 2 Storage Structure Instructor: Churee Techawut 1) Structure of a DBMS 2) The memory hierarchy 3) Magnetic tapes 4) Magnetic disks 5) RAID 6) Disk space management 7) Buffer management

More information

Introduction to Data Management. Lecture #13 (Indexing)

Introduction to Data Management. Lecture #13 (Indexing) Introduction to Data Management Lecture #13 (Indexing) Instructor: Mike Carey mjcarey@ics.uci.edu Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Announcements v Homework info: HW #5 (SQL):

More information

Storing Data: Disks and Files

Storing Data: Disks and Files Storing Data: Disks and Files CS 186 Fall 2002, Lecture 15 (R&G Chapter 7) Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet Stuff Rest of this week My office

More information

Storing Data: Disks and Files. Storing and Retrieving Data. Why Not Store Everything in Main Memory? Chapter 7

Storing Data: Disks and Files. Storing and Retrieving Data. Why Not Store Everything in Main Memory? Chapter 7 Storing : Disks and Files Chapter 7 base Management Systems, R. Ramakrishnan and J. Gehrke 1 Storing and Retrieving base Management Systems need to: Store large volumes of data Store data reliably (so

More information

Storing and Retrieving Data. Storing Data: Disks and Files. Solution 1: Techniques for making disks faster. Disks. Why Not Store Everything in Tapes?

Storing and Retrieving Data. Storing Data: Disks and Files. Solution 1: Techniques for making disks faster. Disks. Why Not Store Everything in Tapes? Storing and Retrieving Storing : Disks and Files Chapter 9 base Management Systems need to: Store large volumes of data Store data reliably (so that data is not lost!) Retrieve data efficiently Alternatives

More information

Storing Data: Disks and Files

Storing Data: Disks and Files Storing Data: Disks and Files Module 2, Lecture 1 Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet Database Management Systems, R. Ramakrishnan 1 Disks and

More information

Spring 2013 CS 122C & CS 222 Midterm Exam (and Comprehensive Exam, Part I) (Max. Points: 100)

Spring 2013 CS 122C & CS 222 Midterm Exam (and Comprehensive Exam, Part I) (Max. Points: 100) Spring 2013 CS 122C & CS 222 Midterm Exam (and Comprehensive Exam, Part I) (Max. Points: 100) Instructions: - This exam is closed book and closed notes but open cheat sheet. - The total time for the exam

More information

CS122A: Introduction to Data Management. Lecture #14: Indexing. Instructor: Chen Li

CS122A: Introduction to Data Management. Lecture #14: Indexing. Instructor: Chen Li CS122A: Introduction to Data Management Lecture #14: Indexing Instructor: Chen Li 1 Indexing in MySQL (w/innodb) CREATE [UNIQUE FULLTEXT SPATIAL] INDEX index_name [index_type] ON tbl_name (index_col_name,...)

More information

Review 1-- Storing Data: Disks and Files

Review 1-- Storing Data: Disks and Files Review 1-- Storing Data: Disks and Files Chapter 9 [Sections 9.1-9.7: Ramakrishnan & Gehrke (Text)] AND (Chapter 11 [Sections 11.1, 11.3, 11.6, 11.7: Garcia-Molina et al. (R2)] OR Chapter 2 [Sections 2.1,

More information

L9: Storage Manager Physical Data Organization

L9: Storage Manager Physical Data Organization L9: Storage Manager Physical Data Organization Disks and files Record and file organization Indexing Tree-based index: B+-tree Hash-based index c.f. Fig 1.3 in [RG] and Fig 2.3 in [EN] Functional Components

More information

Storing Data: Disks and Files. Storing and Retrieving Data. Why Not Store Everything in Main Memory? Database Management Systems need to:

Storing Data: Disks and Files. Storing and Retrieving Data. Why Not Store Everything in Main Memory? Database Management Systems need to: Storing : Disks and Files base Management System, R. Ramakrishnan and J. Gehrke 1 Storing and Retrieving base Management Systems need to: Store large volumes of data Store data reliably (so that data is

More information

Storing and Retrieving Data. Storing Data: Disks and Files. Solution 1: Techniques for making disks faster. Disks. Why Not Store Everything in Tapes?

Storing and Retrieving Data. Storing Data: Disks and Files. Solution 1: Techniques for making disks faster. Disks. Why Not Store Everything in Tapes? Storing and Retrieving Storing : Disks and Files base Management Systems need to: Store large volumes of data Store data reliably (so that data is not lost!) Retrieve data efficiently Alternatives for

More information

CS140 Operating Systems and Systems Programming Final Exam

CS140 Operating Systems and Systems Programming Final Exam CS140 Operating Systems and Systems Programming Final Exam December 11, 2003 (Total time = 165 minutes, Total Points = 165) Name: (please print) In recognition of and in the spirit of the Stanford University

More information

University of California, Berkeley. CS 186 Introduction to Databases, Spring 2014, Prof. Dan Olteanu MIDTERM

University of California, Berkeley. CS 186 Introduction to Databases, Spring 2014, Prof. Dan Olteanu MIDTERM University of California, Berkeley CS 186 Introduction to Databases, Spring 2014, Prof. Dan Olteanu MIDTERM This is a closed book examination sided). but you are allowed one 8.5 x 11 sheet of notes (double

More information

CMU Storage Systems 20 Feb 2004 Fall 2005 Exam 1. Name: SOLUTIONS

CMU Storage Systems 20 Feb 2004 Fall 2005 Exam 1. Name: SOLUTIONS CMU 18 746 Storage Systems 20 Feb 2004 Fall 2005 Exam 1 Instructions Name: SOLUTIONS There are three (3) questions on the exam. You may find questions that could have several answers and require an explanation

More information

Storing Data: Disks and Files. Administrivia (part 2 of 2) Review. Disks, Memory, and Files. Disks and Files. Lecture 3 (R&G Chapter 7)

Storing Data: Disks and Files. Administrivia (part 2 of 2) Review. Disks, Memory, and Files. Disks and Files. Lecture 3 (R&G Chapter 7) Storing : Disks and Files Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet Lecture 3 (R&G Chapter 7) Administrivia Greetings Office Hours Prof. Franklin

More information

Storing Data: Disks and Files

Storing Data: Disks and Files Storing Data: Disks and Files Chapter 9 CSE 4411: Database Management Systems 1 Disks and Files DBMS stores information on ( 'hard ') disks. This has major implications for DBMS design! READ: transfer

More information

CS 186/286 Spring 2018 Midterm 1

CS 186/286 Spring 2018 Midterm 1 CS 186/286 Spring 2018 Midterm 1 Do not turn this page until instructed to start the exam. You should receive 1 single-sided answer sheet and a 13-page exam packet. All answers should be written on the

More information

CS 405G: Introduction to Database Systems. Storage

CS 405G: Introduction to Database Systems. Storage CS 405G: Introduction to Database Systems Storage It s all about disks! Outline That s why we always draw databases as And why the single most important metric in database processing is the number of disk

More information

Some Practice Problems on Hardware, File Organization and Indexing

Some Practice Problems on Hardware, File Organization and Indexing Some Practice Problems on Hardware, File Organization and Indexing Multiple Choice State if the following statements are true or false. 1. On average, repeated random IO s are as efficient as repeated

More information

Some Examples (for DATA REPRESENTATION)

Some Examples (for DATA REPRESENTATION) Some Examples (for DATA REPRESENTATION) NOTE: Examples are not lectured, but it is highly recommended that you go through them to check your understanding. Example: Disk Organization I Consider a (very

More information

University of California, Berkeley. (2 points for each row; 1 point given if part of the change in the row was correct)

University of California, Berkeley. (2 points for each row; 1 point given if part of the change in the row was correct) University of California, Berkeley CS 186 Intro to Database Systems, Fall 2012, Prof. Michael J. Franklin MIDTERM II - Questions This is a closed book examination but you are allowed one 8.5 x 11 sheet

More information

Midterm 1: CS186, Spring I. Storage: Disk, Files, Buffers [11 points] cs186-

Midterm 1: CS186, Spring I. Storage: Disk, Files, Buffers [11 points] cs186- Midterm 1: CS186, Spring 2016 Name: Class Login: cs186- You should receive 1 double-sided answer sheet and an 11-page exam. Mark your name and login on both sides of the answer sheet, and in the blanks

More information

CSE 190D Spring 2017 Final Exam

CSE 190D Spring 2017 Final Exam CSE 190D Spring 2017 Final Exam Full Name : Student ID : Major : INSTRUCTIONS 1. You have up to 2 hours and 59 minutes to complete this exam. 2. You can have up to one letter/a4-sized sheet of notes, formulae,

More information

Chapter 4 File Systems. Tanenbaum, Modern Operating Systems 3 e, (c) 2008 Prentice-Hall, Inc. All rights reserved

Chapter 4 File Systems. Tanenbaum, Modern Operating Systems 3 e, (c) 2008 Prentice-Hall, Inc. All rights reserved Chapter 4 File Systems File Systems The best way to store information: Store all information in virtual memory address space Use ordinary memory read/write to access information Not feasible: no enough

More information

Midterm spring. CSC228H University of Toronto

Midterm spring. CSC228H University of Toronto Midterm 2002 - spring CSC228H University of Toronto Duration 50 minutes Aids Allowed: none. No calculators. Student Number: Last Name: First Name: Instructor: TA: Do not turn this page until you have received

More information

Introduction to Data Management. Lecture 14 (Storage and Indexing)

Introduction to Data Management. Lecture 14 (Storage and Indexing) Introduction to Data Management Lecture 14 (Storage and Indexing) Instructor: Mike Carey mjcarey@ics.uci.edu Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Announcements v HW s and quizzes:

More information

Name: Instructions. Problem 1 : Short answer. [48 points] CMU Storage Systems 27 Feb 2008 Spring 2008 Exam 1

Name: Instructions. Problem 1 : Short answer. [48 points] CMU Storage Systems 27 Feb 2008 Spring 2008 Exam 1 CMU 18 746 Storage Systems 27 Feb 2008 Spring 2008 Exam 1 Instructions Name: There are four (4) questions on the exam. You may find questions that could have several answers and require an explanation

More information

File Systems Part 1. Operating Systems In Depth XIV 1 Copyright 2018 Thomas W. Doeppner. All rights reserved.

File Systems Part 1. Operating Systems In Depth XIV 1 Copyright 2018 Thomas W. Doeppner. All rights reserved. File Systems Part 1 Operating Systems In Depth XIV 1 Copyright 2018 Thomas W. Doeppner. All rights reserved. Files Memory Disk Disk Operating Systems In Depth XIV 2 Copyright 2018 Thomas W. Doeppner. All

More information

IMPORTANT: Circle the last two letters of your class account:

IMPORTANT: Circle the last two letters of your class account: Spring 2011 University of California, Berkeley College of Engineering Computer Science Division EECS MIDTERM I CS 186 Introduction to Database Systems Prof. Michael J. Franklin NAME: STUDENT ID: IMPORTANT:

More information

Midterm 1: CS186, Spring I. Storage: Disk, Files, Buffers [11 points] SOLUTION. cs186-

Midterm 1: CS186, Spring I. Storage: Disk, Files, Buffers [11 points] SOLUTION. cs186- Midterm 1: CS186, Spring 2016 Name: Class Login: SOLUTION cs186- You should receive 1 double-sided answer sheet and an 10-page exam. Mark your name and login on both sides of the answer sheet, and in the

More information

CPSC 310: Database Systems / CSPC 603: Database Systems and Applications Final Exam Fall 2005

CPSC 310: Database Systems / CSPC 603: Database Systems and Applications Final Exam Fall 2005 CPSC 310: Database Systems / CSPC 603: Database Systems and Applications Final Exam Fall 2005 Name: Instructions: 1. This is a closed book exam. Do not use any notes or books, other than your three 8.5-by-11

More information

Storing Data: Disks and Files

Storing Data: Disks and Files Storing Data: Disks and Files Chapter 9 Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke Disks

More information

Operating Systems Peter Pietzuch

Operating Systems Peter Pietzuch Tutorial Disk Management Operating Systems 211 - Peter Pietzuch 1. A disk controller with enough memory can perform read-ahead, reading blocks on the current track into its memory before

More information

CS145 Final Examination

CS145 Final Examination CS145 Final Examination Spring 2003, Prof. Widom ffl Please read all instructions (including these) carefully. ffl There are 11 problems on the exam, with a varying number of points for each problem and

More information

CompSci 516 Data Intensive Computing Systems

CompSci 516 Data Intensive Computing Systems CompSci 516 Data Intensive Computing Systems Lecture 9 Join Algorithms and Query Optimizations Instructor: Sudeepa Roy CompSci 516: Data Intensive Computing Systems 1 Announcements Takeaway from Homework

More information

ECE331: Hardware Organization and Design

ECE331: Hardware Organization and Design ECE331: Hardware Organization and Design Lecture 29: an Introduction to Virtual Memory Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Virtual memory used to protect applications

More information

Principles of Data Management. Lecture #2 (Storing Data: Disks and Files)

Principles of Data Management. Lecture #2 (Storing Data: Disks and Files) Principles of Data Management Lecture #2 (Storing Data: Disks and Files) Instructor: Mike Carey mjcarey@ics.uci.edu Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Today s Topics v Today

More information

Adapted from instructor s supplementary material from Computer. Patterson & Hennessy, 2008, MK]

Adapted from instructor s supplementary material from Computer. Patterson & Hennessy, 2008, MK] Lecture 17 Adapted from instructor s supplementary material from Computer Organization and Design, 4th Edition, Patterson & Hennessy, 2008, MK] SRAM / / Flash / RRAM / HDD SRAM / / Flash / RRAM/ HDD SRAM

More information

CS 186/286 Spring 2018 Midterm 1

CS 186/286 Spring 2018 Midterm 1 CS 186/286 Spring 2018 Midterm 1 Do not turn this page until instructed to start the exam. You should receive 1 single-sided answer sheet and a 18-page exam packet. All answers should be written on the

More information

CSIT5300: Advanced Database Systems

CSIT5300: 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 information

Database Systems II. Record Organization

Database Systems II. Record Organization Database Systems II Record Organization CMPT 454, Simon Fraser University, Fall 2009, Martin Ester 75 Introduction We have introduced secondary storage devices, in particular disks. Disks use blocks as

More information

CS 245 Midterm Exam Winter 2014

CS 245 Midterm Exam Winter 2014 CS 245 Midterm Exam Winter 2014 This exam is open book and notes. You can use a calculator and your laptop to access course notes and videos (but not to communicate with other people). You have 70 minutes

More information

Unit 3 Disk Scheduling, Records, Files, Metadata

Unit 3 Disk Scheduling, Records, Files, Metadata Unit 3 Disk Scheduling, Records, Files, Metadata Based on Ramakrishnan & Gehrke (text) : Sections 9.3-9.3.2 & 9.5-9.7.2 (pages 316-318 and 324-333); Sections 8.2-8.2.2 (pages 274-278); Section 12.1 (pages

More information

CSE 190D Spring 2017 Final Exam Answers

CSE 190D Spring 2017 Final Exam Answers CSE 190D Spring 2017 Final Exam Answers Q 1. [20pts] For the following questions, clearly circle True or False. 1. The hash join algorithm always has fewer page I/Os compared to the block nested loop join

More information

Storing Data: Disks and Files

Storing Data: Disks and Files Storing Data: Disks and Files Lecture 3 (R&G Chapter 7) Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet Administrivia Greetings Office Hours Prof. Franklin

More information

Announcement. Reading Material. Overview of Query Evaluation. Overview of Query Evaluation. Overview of Query Evaluation 9/26/17

Announcement. Reading Material. Overview of Query Evaluation. Overview of Query Evaluation. Overview of Query Evaluation 9/26/17 Announcement CompSci 516 Database Systems Lecture 10 Query Evaluation and Join Algorithms Project proposal pdf due on sakai by 5 pm, tomorrow, Thursday 09/27 One per group by any member Instructor: Sudeepa

More information

CPSC 310: Database Systems / CSPC 603: Database Systems and Applications Exam 2 November 16, 2005

CPSC 310: Database Systems / CSPC 603: Database Systems and Applications Exam 2 November 16, 2005 CPSC 310: Database Systems / CSPC 603: Database Systems and Applications Exam 2 November 16, 2005 Name: Instructions: 1. This is a closed book exam. Do not use any notes or books, other than your two 8.5-by-11

More information

Database Systems. November 2, 2011 Lecture #7. topobo (mit)

Database Systems. November 2, 2011 Lecture #7. topobo (mit) Database Systems November 2, 2011 Lecture #7 1 topobo (mit) 1 Announcement Assignment #2 due today Assignment #3 out today & due on 11/16. Midterm exam in class next week. Cover Chapters 1, 2,

More information

1. What is the difference between primary storage and secondary storage?

1. What is the difference between primary storage and secondary storage? 1. What is the difference between primary storage and secondary storage? Primary Storage is - Limited - Volatile - Expensive - Fast (May be accessed directly from the CPU) - Retrieving a single character

More information

File Structures and Indexing

File Structures and Indexing File Structures and Indexing CPS352: Database Systems Simon Miner Gordon College Last Revised: 10/11/12 Agenda Check-in Database File Structures Indexing Database Design Tips Check-in Database File Structures

More information

CS 4320/5320 Homework 2

CS 4320/5320 Homework 2 CS 4320/5320 Homework 2 Fall 2017 Due on Friday, 20th of October 2017 at 11:59 pm This assignment is out of 75 points and accounts for 10% of your overall grade. All answers for this homework should be

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Database Systems: Fall 2015 Quiz I

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Database Systems: Fall 2015 Quiz I Department of Electrical Engineering and Computer Science MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.830 Database Systems: Fall 2015 Quiz I There are 12 questions and 13 pages in this quiz booklet. To receive

More information

Fall 2004 CS 186 Discussion Section Exercises - Week 2 ending 9/10

Fall 2004 CS 186 Discussion Section Exercises - Week 2 ending 9/10 Fall 00 CS 86 Discussion Section Exercises - Week ending 9/0 RELATIONAL MODEL ) Design relational tables to represent the following information. a. A company has employees working in departments. b. Name,

More information

Disks and Files. Jim Gray s Storage Latency Analogy: How Far Away is the Data? Components of a Disk. Disks

Disks and Files. Jim Gray s Storage Latency Analogy: How Far Away is the Data? Components of a Disk. Disks Review Storing : Disks and Files Lecture 3 (R&G Chapter 9) Aren t bases Great? Relational model SQL Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet A few

More information

Physical Data Organization. Introduction to Databases CompSci 316 Fall 2018

Physical Data Organization. Introduction to Databases CompSci 316 Fall 2018 Physical Data Organization Introduction to Databases CompSci 316 Fall 2018 2 Announcements (Tue., Nov. 6) Homework #3 due today Project milestone #2 due Thursday No separate progress update this week Use

More information

Advanced Database Systems

Advanced Database Systems Lecture II Storage Layer Kyumars Sheykh Esmaili Course s Syllabus Core Topics Storage Layer Query Processing and Optimization Transaction Management and Recovery Advanced Topics Cloud Computing and Web

More information

Chapter 11. I/O Management and Disk Scheduling

Chapter 11. I/O Management and Disk Scheduling Operating System Chapter 11. I/O Management and Disk Scheduling Lynn Choi School of Electrical Engineering Categories of I/O Devices I/O devices can be grouped into 3 categories Human readable devices

More information

A7-R3: INTRODUCTION TO DATABASE MANAGEMENT SYSTEMS

A7-R3: INTRODUCTION TO DATABASE MANAGEMENT SYSTEMS A7-R3: INTRODUCTION TO DATABASE MANAGEMENT SYSTEMS NOTE: 1. There are TWO PARTS in this Module/Paper. PART ONE contains FOUR questions and PART TWO contains FIVE questions. 2. PART ONE is to be answered

More information

Advanced Database Systems

Advanced Database Systems Advanced Database Systems DBMS Internals Data structures and algorithms to implement RDBMS Internals of non relational data management systems Why to take this course? To understand the strengths and weaknesses

More information

CS 471 Operating Systems. Yue Cheng. George Mason University Fall 2017

CS 471 Operating Systems. Yue Cheng. George Mason University Fall 2017 CS 471 Operating Systems Yue Cheng George Mason University Fall 2017 Review: Memory Accesses 2 Impact of Program Structure on Memory Performance o Consider an array named data with 128*128 elements o Each

More information

Parser. Select R.text from Report R, Weather W where W.image.rain() and W.city = R.city and W.date = R.date and R.text.

Parser. Select R.text from Report R, Weather W where W.image.rain() and W.city = R.city and W.date = R.date and R.text. Select R.text from Report R, Weather W where W.image.rain() and W.city = R.city and W.date = R.date and R.text. Lifecycle of an SQL Query CSE 190D base System Implementation Arun Kumar Query Query Result

More information

I/O CANNOT BE IGNORED

I/O CANNOT BE IGNORED LECTURE 13 I/O I/O CANNOT BE IGNORED Assume a program requires 100 seconds, 90 seconds for main memory, 10 seconds for I/O. Assume main memory access improves by ~10% per year and I/O remains the same.

More information

ΗΥ460 Συστήματα Διαχείρισης Βάσεων Δεδομένων Χειμερινό Εξάμηνο 2017 Διδάσκοντες: Βασίλης Χριστοφίδης, Δημήτρης Πλεξουσάκης, Χαρίδημος Κονδυλάκης

ΗΥ460 Συστήματα Διαχείρισης Βάσεων Δεδομένων Χειμερινό Εξάμηνο 2017 Διδάσκοντες: Βασίλης Χριστοφίδης, Δημήτρης Πλεξουσάκης, Χαρίδημος Κονδυλάκης ΗΥ460 Συστήματα Διαχείρισης Βάσεων Δεδομένων Χειμερινό Εξάμηνο 2017 Διδάσκοντες: Βασίλης Χριστοφίδης, Δημήτρης Πλεξουσάκης, Χαρίδημος Κονδυλάκης Exercise 1 (15 points) Disk Storage Λύσεις 1 ης σειράς Ασκήσεων

More information

CSE 190D Database System Implementation

CSE 190D Database System Implementation CSE 190D Database System Implementation Arun Kumar Topic 1: Data Storage, Buffer Management, and File Organization Chapters 8 and 9 (except 8.5.4 and 9.2) of Cow Book Slide ACKs: Jignesh Patel, Paris Koutris

More information

Database Applications (15-415)

Database Applications (15-415) Database Applications (15-415) DBMS Internals: Part II Lecture 11, February 17, 2015 Mohammad Hammoud Last Session: DBMS Internals- Part I Today Today s Session: DBMS Internals- Part II A Brief Summary

More information

Overview of Storage & Indexing (i)

Overview of Storage & Indexing (i) ICS 321 Spring 2013 Overview of Storage & Indexing (i) Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa 4/3/2013 Lipyeow Lim -- University of Hawaii at Manoa

More information

DATABASE PERFORMANCE AND INDEXES. CS121: Relational Databases Fall 2017 Lecture 11

DATABASE PERFORMANCE AND INDEXES. CS121: Relational Databases Fall 2017 Lecture 11 DATABASE PERFORMANCE AND INDEXES CS121: Relational Databases Fall 2017 Lecture 11 Database Performance 2 Many situations where query performance needs to be improved e.g. as data size grows, query performance

More information

Module 1: Basics and Background Lecture 4: Memory and Disk Accesses. The Lecture Contains: Memory organisation. Memory hierarchy. Disks.

Module 1: Basics and Background Lecture 4: Memory and Disk Accesses. The Lecture Contains: Memory organisation. Memory hierarchy. Disks. The Lecture Contains: Memory organisation Example of memory hierarchy Memory hierarchy Disks Disk access Disk capacity Disk access time Typical disk parameters Access times file:///c /Documents%20and%20Settings/iitkrana1/My%20Documents/Google%20Talk%20Received%20Files/ist_data/lecture4/4_1.htm[6/14/2012

More information

Introduction to Database Systems CSE 444. Transactions. Lecture 14: Transactions in SQL. Why Do We Need Transactions. Dirty Reads.

Introduction to Database Systems CSE 444. Transactions. Lecture 14: Transactions in SQL. Why Do We Need Transactions. Dirty Reads. Introduction to Database Systems CSE 444 Lecture 14: Transactions in SQL October 26, 2007 Transactions Major component of database systems Critical for most applications; arguably more so than SQL Turing

More information

Evaluation of Relational Operations

Evaluation of Relational Operations Evaluation of Relational Operations Chapter 14 Comp 521 Files and Databases Fall 2010 1 Relational Operations We will consider in more detail how to implement: Selection ( ) Selects a subset of rows from

More information

Disk Scheduling COMPSCI 386

Disk Scheduling COMPSCI 386 Disk Scheduling COMPSCI 386 Topics Disk Structure (9.1 9.2) Disk Scheduling (9.4) Allocation Methods (11.4) Free Space Management (11.5) Hard Disk Platter diameter ranges from 1.8 to 3.5 inches. Both sides

More information

Storage Devices for Database Systems

Storage Devices for Database Systems Storage Devices for Database Systems 5DV120 Database System Principles Umeå University Department of Computing Science Stephen J. Hegner hegner@cs.umu.se http://www.cs.umu.se/~hegner Storage Devices for

More information

Informatica Data Explorer Performance Tuning

Informatica Data Explorer Performance Tuning Informatica Data Explorer Performance Tuning 2011 Informatica Corporation. No part of this document may be reproduced or transmitted in any form, by any means (electronic, photocopying, recording or otherwise)

More information

COS 226 Algorithms and Data Structures Fall Midterm

COS 226 Algorithms and Data Structures Fall Midterm COS 226 Algorithms and Data Structures Fall 2017 Midterm This exam has 10 questions (including question 0) worth a total of 55 points. You have 0 minutes. This exam is preprocessed by a computer, so please

More information

Unit 2 Buffer Pool Management

Unit 2 Buffer Pool Management Unit 2 Buffer Pool Management Based on: Sections 9.4, 9.4.1, 9.4.2 of Ramakrishnan & Gehrke (text); Silberschatz, et. al. ( Operating System Concepts ); Other sources Original slides by Ed Knorr; Updates

More information

Storing Data: Disks and Files

Storing Data: Disks and Files Storing Data: Disks and Files Chapter 7 (2 nd edition) Chapter 9 (3 rd edition) Yea, from the table of my memory I ll wipe away all trivial fond records. -- Shakespeare, Hamlet Database Management Systems,

More information

Project is due on March 11, 2003 Final Examination March 18, pm to 10.30pm

Project is due on March 11, 2003 Final Examination March 18, pm to 10.30pm Announcements Please remember to send a mail to Deepa to register for a timeslot for your project demo by March 6, 2003 See Project Guidelines on class web page for more details Project is due on March

More information

Computing Science 300 Sample Final Examination

Computing Science 300 Sample Final Examination Computing Science 300 Sample Final Examination 1. [10 points] Generally speaking, input and output operations can be done using two different methods, busy-waiting and interrupt-driven (using DMA or single

More information

SQL - Data Query language

SQL - 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 information

UNIVERSITY OF CALIFORNIA College of Engineering Department of EECS, Computer Science Division

UNIVERSITY 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 information

SQL DATA DEFINITION LANGUAGE

SQL DATA DEFINITION LANGUAGE SQL DATA DEFINITION LANGUAGE DATABASE SCHEMAS IN SQL SQL is primarily a query language, for getting information from a database. DML: Data Manipulation Language SFWR ENG 3DB3 FALL 2016 MICHAEL LIUT (LIUTM@MCMASTER.CA)

More information

Homework 2: Query Processing/Optimization, Transactions/Recovery (due February 16th, 2017, 9:30am, in class hard-copy please)

Homework 2: Query Processing/Optimization, Transactions/Recovery (due February 16th, 2017, 9:30am, in class hard-copy please) Virginia Tech. Computer Science CS 5614 (Big) Data Management Systems Spring 2017, Prakash Homework 2: Query Processing/Optimization, Transactions/Recovery (due February 16th, 2017, 9:30am, in class hard-copy

More information

Today. Adding Memory Does adding memory always reduce the number of page faults? FIFO: Adding Memory with LRU. Last Class: Demand Paged Virtual Memory

Today. Adding Memory Does adding memory always reduce the number of page faults? FIFO: Adding Memory with LRU. Last Class: Demand Paged Virtual Memory Last Class: Demand Paged Virtual Memory Benefits of demand paging: Virtual address space can be larger than physical address space. Processes can run without being fully loaded into memory. Processes start

More information

Unit 2 Buffer Pool Management

Unit 2 Buffer Pool Management Unit 2 Buffer Pool Management Based on: Pages 318-323, 541-542, and 586-587 of Ramakrishnan & Gehrke (text); Silberschatz, et. al. ( Operating System Concepts ); Other sources Original slides by Ed Knorr;

More information

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

Lecture 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 information

CS433 Final Exam. Prof Josep Torrellas. December 12, Time: 2 hours

CS433 Final Exam. Prof Josep Torrellas. December 12, Time: 2 hours CS433 Final Exam Prof Josep Torrellas December 12, 2006 Time: 2 hours Name: Instructions: 1. This is a closed-book, closed-notes examination. 2. The Exam has 6 Questions. Please budget your time. 3. Calculators

More information