CIS 550 Fall Final Examination. December 13, Name: Penn ID:

Size: px
Start display at page:

Download "CIS 550 Fall Final Examination. December 13, Name: Penn ID:"

Transcription

1 CIS 550 Fall 2013 Final Examination December 13, 2013 Name: Penn ID: My signature below certifies that I have complied with the University of Pennsylvania's Code of Academic Integrity in completing this examination. (Exams without signatures will not be graded.) Signature Date Instructions: This is an open-book, open-notes no-device exam: you may not make use of any electronic devices, not even calculators. Your mobile phones and MP3 players must be turned off and stored away. You have 110 minutes to answer all of the questions. The entire exam is worth 120 points, giving you a guideline of spending approximately 1 minute per point per problem. Partial credit will be given. Do not spend disproportionate time on any one question. All correct answers are short. Meandering answers or brain dumps will not be given full points. Write your answers in the spaces provided: you must turn in this printed exam. The back side of each page may be used as a scratch pad. Good luck! Score 1-15: 30pts 19: 15pts 16: 20pts 20: 15pts 17: 15pts 21: 10pts 18: 15pts Total Score

2 [2 pts each] Please answer Questions 1-15 on the ScanTron sheet, NOT this sheet of paper. Use a Number 2 Pencil, and be careful to fully erase if you change your answer. 1. XML solves the most difficult issues in data interchange: 2. XML Schema enables key and foreign key constraints to be specified: 3. JSON can be parsed without knowing anything about the tags: 4. XML is in 3NF: 5. SQL is converted to relational algebra, which is then converted into relational calculus to be executed in the database query execution engine: 6. Local-as-view refers to schema mappings that are defined as queries over the mediated schema: 7. What is true about the results of evaluating an XPath? a. XPath returns an unordered set of nodes b. XPath returns an ordered multiset of nodes c. XPath returns an ordered set of nodes d. XPath returns an ordered multiset of nodes 8. Which of the following can reduce the possibility of SQL injection attacks: a. Prepared statements b. Dynamic SQL c. Views

3 d. None of the above 9. NoSQL databases: a. Never use SQL, hence the name b. Always perform better than SQL databases c. Are especially appropriate for transactions d. None of the above 10. Virtual data integration or enterprise information integration means: a. The cloud is used to integrate data b. A central database is used to integrate data c. Extract-transform-load (ETL) scripts are used to integrate the data d. A virtual mediated schema is used e. None of the above 11. The hash join algorithm needs: a. A join condition (theta) that is a range condition b. Input relations that are sorted on their primary keys c. Input relations that are sorted on the join key d. Input relations that are unsorted 12. Sorting and hashing can be used to: a. Reduce the amount of data that needs to be considered in a multiple-pass algorithm b. Reduce the size of query results c. Project data early d. Convert data using MapReduce 13. An SQL query optimizer, such as that in Oracle or DB2, optimizes: a. The number of tuples according to cardinality estimates b. The number of requests according to workload c. The number of users according to predictions d. The estimated cost of the query according to a cost model 14. Which of the following is an ACID property: a. Concurrency b. Atomicity c. Idempotence d. Delivery

4 15. Cloud storage systems typically do not provide full ACID semantics because of: a. The number of clients being handled by the cloud b. The latency of communications across multiple servers c. The sizes of the databases d. The number of CEOs and CIOs who associate ACID with drugs and get a negative impression of the capability

5 16. [20pts] Given the document: <items> <item> <type>book</book> <isbn> </author> <author key= 121 >Sheryl Sandberg</author> <title>lean In</title> </item> <item> <type>book</book> <isbn> </author> <author key= 123 >Dan Brown</author> <title>inferno</title> </item> <item> <type>movie</book> <star key= 149 >Steve Carell</star> <star key= 300 >Kristin Wiig</star> <director key= 3 >Chris Renaud</director> <director key= 99 >Pierre Coffin</director> <title>despicable Me 2</title> </item> </items> a. Write an XPath to return all book titles by Dan Brown. /items/item[type= book ][author= Dan Brown ]/title or /items/item[type= book ] [author= Dan Brown ]/title/text()

6 b. Write an XQuery to convert the books and authors into a relation-like form with foreign keys. (The author key contains the value, and recall that prefix in XPath can be used to query for an attribute). Your code should be generic, but its output, over the sample data above, should look like: <books> <author key= 121 > <name>sheryl Sandberg</name> </author> <author key= 123 > <name>dan Brown</name> </author> <book> <isbn> </isbn> <title>lean In</title> <author-id>121</author-id> </book> <book> <isbn> </author> <title>inferno</title> <author>123</author> </book> </books> <books> { for $a in distinctvalues(doc( input.xml )/items/item/author) return <author key=$a/@key>{ $a/text() }</author>, for $b in doc( input.xml )/items/item[type= book ] return <book>{ $i/isbn, $i/title}, {for $a in $b/author return <author-id>{ $a/text() }</author-id>} </book> } </books>

7 17. [15pts] Given the schema: Users(login, first, last, address, ) Friends(login1, login2) where login1, login2 reference Users Convert the following query into a relational algebra expression: SELECT user, F2.login2 AS recommendation FROM Users U, Friends F1, Friends F2 WHERE U. = me@me.com AND U.login = F1.login1 AND F1.login2 = F2.login1 18. [15pts] Explain briefly what a clustered index means with respect to what data is stored in intermediate nodes, leaf nodes, and so on. In a clustered index, data records are stored in the same order as the key of the index. Typically this means intermediate nodes in the index are pivot values on the key, and the leaf nodes contain records. In unusual cases we can have a secondary index that s clustered, in that the leaf nodes contain pointers to data records that show up in the same exact order. (Consider a clustered primary index in lastname, firstname and a secondary clustered index on lastname.)

8 19. [15pts] Given the B+ Tree: R A B C D E G 30* 31* 42* 43* F H 36* 38* 51* 52* 56* 60* I J K L 81* 82* 94* 95* 96* 97* 98* 99* 100* 105* Show the effects of inserting 71* and 93*. You may draw over the figure, or redraw the labeled nodes ( R, D L ) below. D: 36, 42, 51, 56 H: 51*, 52* H : 56*, 60*, 71* J: 81*, 82*, 93*

9 20. [15pts] Given the following costs: Page random access time = 5msec Page sequential read time = 0.05msec R tuples/page = 20 Cardinality of R = 2000 tuples S tuples/page = 10 Cardinality of S = 1000 tuples R and S are sorted on the join key Which join algorithm (nested loops or merge) should we choose, and why? Assume every page is filled to capacity and that the buffer pool (cache) is 2 pages. Merge join (one pass through each of the tables) 21. [10pts] Explain briefly where key-value stores offer advantages over relational database systems. Key-value stores (KVSs) offer benefits when concurrent updates are unlikely to touch the same key and transactions don t touch multiple keys; when the data is not naturally tabular; when queries are not content-related.

Database Management Systems Written Exam

Database Management Systems Written Exam Database Management Systems Written Exam 07.0.011 First name Student number Last name Signature Instructions for Students Write your name, student number, and signature on the exam sheet and on every solution

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

Database Management Systems Written Examination

Database Management Systems Written Examination Database Management Systems Written Examination 14.02.2007 First name Student number Last name Signature Instructions for Students Write your name, student number, and signature on the exam sheet. Write

More information

CSE344 Midterm Exam Fall 2016

CSE344 Midterm Exam Fall 2016 CSE344 Midterm Exam Fall 2016 November 7, 2016 Please read all instructions (including these) carefully. This is a closed book exam. You are allowed a one page handwritten cheat sheet. Write your name

More information

CSE344 Midterm Exam Winter 2017

CSE344 Midterm Exam Winter 2017 CSE344 Midterm Exam Winter 2017 February 13, 2017 Please read all instructions (including these) carefully. This is a closed book exam. You are allowed a one page cheat sheet that you can write on both

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

Final Exam Review 2. Kathleen Durant CS 3200 Northeastern University Lecture 23

Final Exam Review 2. Kathleen Durant CS 3200 Northeastern University Lecture 23 Final Exam Review 2 Kathleen Durant CS 3200 Northeastern University Lecture 23 QUERY EVALUATION PLAN Representation of a SQL Command SELECT {DISTINCT} FROM {WHERE

More information

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

IMPORTANT: Circle the last two letters of your class account: Fall 2001 University of California, Berkeley College of Engineering Computer Science Division EECS Prof. Michael J. Franklin FINAL EXAM CS 186 Introduction to Database Systems NAME: STUDENT ID: IMPORTANT:

More information

Query Processing and Advanced Queries. Query Optimization (4)

Query Processing and Advanced Queries. Query Optimization (4) Query Processing and Advanced Queries Query Optimization (4) Two-Pass Algorithms Based on Hashing R./S If both input relations R and S are too large to be stored in the buffer, hash all the tuples of both

More information

CSE 344 Final Review. August 16 th

CSE 344 Final Review. August 16 th CSE 344 Final Review August 16 th Final In class on Friday One sheet of notes, front and back cost formulas also provided Practice exam on web site Good luck! Primary Topics Parallel DBs parallel join

More information

CMSC 461 Final Exam Study Guide

CMSC 461 Final Exam Study Guide CMSC 461 Final Exam Study Guide Study Guide Key Symbol Significance * High likelihood it will be on the final + Expected to have deep knowledge of can convey knowledge by working through an example problem

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Database Systems: Fall 2017 Quiz I

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Database Systems: Fall 2017 Quiz I Department of Electrical Engineering and Computer Science MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.830 Database Systems: Fall 2017 Quiz I There are 15 questions and 12 pages in this quiz booklet. To receive

More information

Relational Database Features

Relational Database Features Relational Features s Why has the relational model been so successful? Data independence High level query language - SQL Query optimisation Support for integrity constraints Well-understood database design

More information

Database Management

Database Management Database Management - 2011 Model Answers 1. a. A data model should comprise a structural part, an integrity part and a manipulative part. The relational model provides standard definitions for all three

More information

CS 564 Final Exam Fall 2015 Answers

CS 564 Final Exam Fall 2015 Answers CS 564 Final Exam Fall 015 Answers A: STORAGE AND INDEXING [0pts] I. [10pts] For the following questions, clearly circle True or False. 1. The cost of a file scan is essentially the same for a heap file

More information

Two hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE

Two hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE Two hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE Querying Data on the Web Date: Wednesday 27th January 2016 Time: 09:45-11:45 Please answer ALL Questions provided This is a CLOSED book examination

More information

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe CHAPTER 19 Query Optimization Introduction Query optimization Conducted by a query optimizer in a DBMS Goal: select best available strategy for executing query Based on information available Most RDBMSs

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

CSE344 Final Exam Winter 2017

CSE344 Final Exam Winter 2017 CSE344 Final Exam Winter 2017 March 16, 2017 Please read all instructions (including these) carefully. This is a closed book exam. You are allowed two pages of note sheets that you can write on both sides.

More information

CIS 110 Introduction to Computer Programming 8 October 2013 Midterm

CIS 110 Introduction to Computer Programming 8 October 2013 Midterm CIS 110 Introduction to Computer Programming 8 October 2013 Midterm Name: Recitation # (e.g., 201): Pennkey (e.g., eeaton): My signature below certifies that I have complied with the University of Pennsylvania

More information

CS2 Databases TEST 1 25 August 2003 Student Number: MARK: /35

CS2 Databases TEST 1 25 August 2003 Student Number: MARK: /35 CS2 Databases TEST 1 25 August 2003 Student Number: MARK: /35 Instructions Read the questions carefully Answers are to be written on this sheet ONLY Ink is to be used, No Pencil Marks are shown in [ ].

More information

CSCI-6421 Final Exam York University Fall Term 2004

CSCI-6421 Final Exam York University Fall Term 2004 6 December 2004 CS-6421 Final Exam p. 1 of 7 CSCI-6421 Final Exam York University Fall Term 2004 Due: 6pm Wednesday 15 December 2004 Last Name: First Name: Instructor: Parke Godfrey Exam Duration: take

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

Computer Science 597A Fall 2008 First Take-home Exam Out: 4:20PM Monday November 10, 2008 Due: 3:00PM SHARP Wednesday, November 12, 2008

Computer Science 597A Fall 2008 First Take-home Exam Out: 4:20PM Monday November 10, 2008 Due: 3:00PM SHARP Wednesday, November 12, 2008 Computer Science 597A Fall 2008 First Take-home Exam Out: 4:20PM Monday November 10, 2008 Due: 3:00PM SHARP Wednesday, November 12, 2008 Instructions: This exam must be entirely your own work. Do not consult

More information

Rajiv GandhiCollegeof Engineering& Technology, Kirumampakkam.Page 1 of 10

Rajiv GandhiCollegeof Engineering& Technology, Kirumampakkam.Page 1 of 10 Rajiv GandhiCollegeof Engineering& Technology, Kirumampakkam.Page 1 of 10 RAJIV GANDHI COLLEGE OF ENGINEERING & TECHNOLOGY, KIRUMAMPAKKAM-607 402 DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING QUESTION BANK

More information

CSE 344 MAY 7 TH EXAM REVIEW

CSE 344 MAY 7 TH EXAM REVIEW CSE 344 MAY 7 TH EXAM REVIEW EXAMINATION STATIONS Exam Wednesday 9:30-10:20 One sheet of notes, front and back Practice solutions out after class Good luck! EXAM LENGTH Production v. Verification Practice

More information

Chapter 12: Query Processing

Chapter 12: Query Processing Chapter 12: Query Processing Overview Catalog Information for Cost Estimation $ Measures of Query Cost Selection Operation Sorting Join Operation Other Operations Evaluation of Expressions Transformation

More information

Data Modeling and Databases Ch 10: Query Processing - Algorithms. Gustavo Alonso Systems Group Department of Computer Science ETH Zürich

Data Modeling and Databases Ch 10: Query Processing - Algorithms. Gustavo Alonso Systems Group Department of Computer Science ETH Zürich Data Modeling and Databases Ch 10: Query Processing - Algorithms Gustavo Alonso Systems Group Department of Computer Science ETH Zürich Transactions (Locking, Logging) Metadata Mgmt (Schema, Stats) Application

More information

Data Modeling and Databases Ch 9: Query Processing - Algorithms. Gustavo Alonso Systems Group Department of Computer Science ETH Zürich

Data Modeling and Databases Ch 9: Query Processing - Algorithms. Gustavo Alonso Systems Group Department of Computer Science ETH Zürich Data Modeling and Databases Ch 9: Query Processing - Algorithms Gustavo Alonso Systems Group Department of Computer Science ETH Zürich Transactions (Locking, Logging) Metadata Mgmt (Schema, Stats) Application

More information

Introduction to Query Processing and Query Optimization Techniques. Copyright 2011 Ramez Elmasri and Shamkant Navathe

Introduction to Query Processing and Query Optimization Techniques. Copyright 2011 Ramez Elmasri and Shamkant Navathe Introduction to Query Processing and Query Optimization Techniques Outline Translating SQL Queries into Relational Algebra Algorithms for External Sorting Algorithms for SELECT and JOIN Operations Algorithms

More information

; Spring 2008 Prof. Sang-goo Lee (14:30pm: Mon & Wed: Room ) ADVANCED DATABASES

; Spring 2008 Prof. Sang-goo Lee (14:30pm: Mon & Wed: Room ) ADVANCED DATABASES 4541.564; Spring 2008 Prof. Sang-goo Lee (14:30pm: Mon & Wed: Room 302-208) ADVANCED DATABASES Syllabus Text Books Exams (tentative dates) Database System Concepts, 5th Edition, A. Silberschatz, H. F.

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

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

Hash table example. B+ Tree Index by Example Recall binary trees from CSE 143! Clustered vs Unclustered. Example

Hash table example. B+ Tree Index by Example Recall binary trees from CSE 143! Clustered vs Unclustered. Example Student Introduction to Database Systems CSE 414 Hash table example Index Student_ID on Student.ID Data File Student 10 Tom Hanks 10 20 20 Amy Hanks ID fname lname 10 Tom Hanks 20 Amy Hanks Lecture 26:

More information

Query Processing & Optimization

Query Processing & Optimization Query Processing & Optimization 1 Roadmap of This Lecture Overview of query processing Measures of Query Cost Selection Operation Sorting Join Operation Other Operations Evaluation of Expressions Introduction

More information

Course No: 4411 Database Management Systems Fall 2008 Midterm exam

Course No: 4411 Database Management Systems Fall 2008 Midterm exam Course No: 4411 Database Management Systems Fall 2008 Midterm exam Last Name: First Name: Student ID: Exam is 80 minutes. Open books/notes The exam is out of 20 points. 1 1. (16 points) Multiple Choice

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

CSE 444 Final Exam. August 21, Question 1 / 15. Question 2 / 25. Question 3 / 25. Question 4 / 15. Question 5 / 20.

CSE 444 Final Exam. August 21, Question 1 / 15. Question 2 / 25. Question 3 / 25. Question 4 / 15. Question 5 / 20. CSE 444 Final Exam August 21, 2009 Name Question 1 / 15 Question 2 / 25 Question 3 / 25 Question 4 / 15 Question 5 / 20 Total / 100 CSE 444 Final, August 21, 2009 Page 1 of 10 Question 1. B+ trees (15

More information

D.K.M COLLEGE FOR WOMEN(AUTONOMOUS),VELLORE DATABASE MANAGEMENT SYSTEM QUESTION BANK

D.K.M COLLEGE FOR WOMEN(AUTONOMOUS),VELLORE DATABASE MANAGEMENT SYSTEM QUESTION BANK D.K.M COLLEGE FOR WOMEN(AUTONOMOUS),VELLORE DATABASE MANAGEMENT SYSTEM QUESTION BANK UNIT I SECTION-A 2 MARKS 1. What is meant by DBMs? 2. Who is a DBA? 3. What is a data model?list its types. 4. Define

More information

Introduction to Database Systems CSE 414. Lecture 26: More Indexes and Operator Costs

Introduction to Database Systems CSE 414. Lecture 26: More Indexes and Operator Costs Introduction to Database Systems CSE 414 Lecture 26: More Indexes and Operator Costs CSE 414 - Spring 2018 1 Student ID fname lname Hash table example 10 Tom Hanks Index Student_ID on Student.ID Data File

More information

Examples of Physical Query Plan Alternatives. Selected Material from Chapters 12, 14 and 15

Examples of Physical Query Plan Alternatives. Selected Material from Chapters 12, 14 and 15 Examples of Physical Query Plan Alternatives Selected Material from Chapters 12, 14 and 15 1 Query Optimization NOTE: SQL provides many ways to express a query. HENCE: System has many options for evaluating

More information

Query Processing Strategies and Optimization

Query Processing Strategies and Optimization Query Processing Strategies and Optimization CPS352: Database Systems Simon Miner Gordon College Last Revised: 10/25/12 Agenda Check-in Design Project Presentations Query Processing Programming Project

More information

Principles of Data Management. Lecture #9 (Query Processing Overview)

Principles of Data Management. Lecture #9 (Query Processing Overview) Principles of Data Management Lecture #9 (Query Processing Overview) Instructor: Mike Carey mjcarey@ics.uci.edu Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Today s Notable News v Midterm

More information

Chapter 1: Introduction

Chapter 1: Introduction Chapter 1: Introduction Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Outline The Need for Databases Data Models Relational Databases Database Design Storage Manager Query

More information

CSE 344 FEBRUARY 14 TH INDEXING

CSE 344 FEBRUARY 14 TH INDEXING CSE 344 FEBRUARY 14 TH INDEXING EXAM Grades posted to Canvas Exams handed back in section tomorrow Regrades: Friday office hours EXAM Overall, you did well Average: 79 Remember: lowest between midterm/final

More information

CSE 344 Midterm. Friday, February 8, 2013, 9:30-10:20. Question Points Score Total: 100

CSE 344 Midterm. Friday, February 8, 2013, 9:30-10:20. Question Points Score Total: 100 CSE 344 Midterm Friday, February 8, 2013, 9:30-10:20 Name: Question Points Score 1 60 2 30 3 10 Total: 100 This exam is open book and open notes but NO laptops or other portable devices. You have 50 minutes;

More information

CSE 344 Final Examination

CSE 344 Final Examination CSE 344 Final Examination December 12, 2012, 8:30am - 10:20am Name: Question Points Score 1 30 2 20 3 30 4 20 Total: 100 This exam is open book and open notes but NO laptops or other portable devices.

More information

Outline. Database Management Systems (DBMS) Database Management and Organization. IT420: Database Management and Organization

Outline. Database Management Systems (DBMS) Database Management and Organization. IT420: Database Management and Organization Outline IT420: Database Management and Organization Dr. Crăiniceanu Capt. Balazs www.cs.usna.edu/~adina/teaching/it420/spring2007 Class Survey Why Databases (DB)? A Problem DB Benefits In This Class? Admin

More information

Migrating Oracle Databases To Cassandra

Migrating Oracle Databases To Cassandra BY UMAIR MANSOOB Why Cassandra Lower Cost of ownership makes it #1 choice for Big Data OLTP Applications. Unlike Oracle, Cassandra can store structured, semi-structured, and unstructured data. Cassandra

More information

CS317 File and Database Systems

CS317 File and Database Systems CS317 File and Database Systems http://commons.wikimedia.org/wiki/category:r-tree#mediaviewer/file:r-tree_with_guttman%27s_quadratic_split.png Lecture 10 Physical DBMS Design October 23, 2017 Sam Siewert

More information

Lassonde School of Engineering Winter 2016 Term Course No: 4411 Database Management Systems

Lassonde School of Engineering Winter 2016 Term Course No: 4411 Database Management Systems Lassonde School of Engineering Winter 2016 Term Course No: 4411 Database Management Systems Last Name: First Name: Student ID: 1. Exam is 2 hours long 2. Closed books/notes Problem 1 (6 points) Consider

More information

CS 2316 Exam 4 Fall 2011

CS 2316 Exam 4 Fall 2011 CS 2316 Exam 4 Fall 2011 Name : Grading TA: Integrity: By taking this exam, you pledge that this is your work and you have neither given nor received inappropriate help during the taking of this exam in

More information

CS 222/122C Fall 2016, Midterm Exam

CS 222/122C Fall 2016, Midterm Exam STUDENT NAME: STUDENT ID: Instructions: CS 222/122C Fall 2016, Midterm Exam Principles of Data Management Department of Computer Science, UC Irvine Prof. Chen Li (Max. Points: 100) This exam has six (6)

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

1 (10) 2 (8) 3 (12) 4 (14) 5 (6) Total (50)

1 (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 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

Data Analysis. CPS352: Database Systems. Simon Miner Gordon College Last Revised: 12/13/12

Data Analysis. CPS352: Database Systems. Simon Miner Gordon College Last Revised: 12/13/12 Data Analysis CPS352: Database Systems Simon Miner Gordon College Last Revised: 12/13/12 Agenda Check-in NoSQL Database Presentations Online Analytical Processing Data Mining Course Review Exam II Course

More information

Midterm 1: CS186, Spring 2015

Midterm 1: CS186, Spring 2015 Midterm 1: CS186, Spring 2015 Prof. J. Hellerstein You should receive a double-sided answer sheet and a 7-page exam. Mark your name and login on both sides of the answer sheet, and in the blanks above.

More information

University of Waterloo Midterm Examination Sample Solution

University of Waterloo Midterm Examination Sample Solution 1. (4 total marks) University of Waterloo Midterm Examination Sample Solution Winter, 2012 Suppose that a relational database contains the following large relation: Track(ReleaseID, TrackNum, Title, Length,

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Database Systems: Fall 2008 Quiz I

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Database Systems: Fall 2008 Quiz I Department of Electrical Engineering and Computer Science MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.830 Database Systems: Fall 2008 Quiz I There are 17 questions and 10 pages in this quiz booklet. To receive

More information

CS222P Fall 2017, Final Exam

CS222P Fall 2017, Final Exam STUDENT NAME: STUDENT ID: CS222P Fall 2017, Final Exam Principles of Data Management Department of Computer Science, UC Irvine Prof. Chen Li (Max. Points: 100 + 15) Instructions: This exam has seven (7)

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

CSE 544 Principles of Database Management Systems

CSE 544 Principles of Database Management Systems CSE 544 Principles of Database Management Systems Alvin Cheung Fall 2015 Lecture 5 - DBMS Architecture and Indexing 1 Announcements HW1 is due next Thursday How is it going? Projects: Proposals are due

More information

Chapter 13: Query Processing

Chapter 13: Query Processing Chapter 13: Query Processing! Overview! Measures of Query Cost! Selection Operation! Sorting! Join Operation! Other Operations! Evaluation of Expressions 13.1 Basic Steps in Query Processing 1. Parsing

More information

Topics. History. Architecture. MongoDB, Mongoose - RDBMS - SQL. - NoSQL

Topics. History. Architecture. MongoDB, Mongoose - RDBMS - SQL. - NoSQL Databases Topics History - RDBMS - SQL Architecture - SQL - NoSQL MongoDB, Mongoose Persistent Data Storage What features do we want in a persistent data storage system? We have been using text files to

More information

CSE 344 Midterm. Wednesday, February 19, 2014, 14:30-15:20. Question Points Score Total: 100

CSE 344 Midterm. Wednesday, February 19, 2014, 14:30-15:20. Question Points Score Total: 100 CSE 344 Midterm Wednesday, February 19, 2014, 14:30-15:20 Name: Question Points Score 1 30 2 50 3 12 4 8 Total: 100 This exam is open book and open notes but NO laptops or other portable devices. You have

More information

Chapter 12: Query Processing. Chapter 12: Query Processing

Chapter 12: Query Processing. Chapter 12: Query Processing Chapter 12: Query Processing Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Chapter 12: Query Processing Overview Measures of Query Cost Selection Operation Sorting Join

More information

Final Examination CSE 100 UCSD (Practice)

Final Examination CSE 100 UCSD (Practice) Final Examination UCSD (Practice) RULES: 1. Don t start the exam until the instructor says to. 2. This is a closed-book, closed-notes, no-calculator exam. Don t refer to any materials other than the exam

More information

relational Key-value Graph Object Document

relational Key-value Graph Object Document NoSQL Databases Earlier We have spent most of our time with the relational DB model so far. There are other models: Key-value: a hash table Graph: stores graph-like structures efficiently Object: good

More information

Chapter 12: Query Processing

Chapter 12: Query Processing Chapter 12: Query Processing Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Overview Chapter 12: Query Processing Measures of Query Cost Selection Operation Sorting Join

More information

(a) Explain how physical data dependencies can increase the cost of maintaining an information

(a) Explain how physical data dependencies can increase the cost of maintaining an information NOTE 1: This is a closed book examination. For example, class text, copies of overhead slides and printed notes may not be used. There are 11 pages. The last page, only, may be separated and used as an

More information

CS6302- DATABASE MANAGEMENT SYSTEMS- QUESTION BANK- II YEAR CSE- III SEM UNIT I

CS6302- DATABASE MANAGEMENT SYSTEMS- QUESTION BANK- II YEAR CSE- III SEM UNIT I CS6302- DATABASE MANAGEMENT SYSTEMS- QUESTION BANK- II YEAR CSE- III SEM UNIT I 1.List the purpose of Database System (or) List the drawback of normal File Processing System. 2. Define Data Abstraction

More information

! A relational algebra expression may have many equivalent. ! Cost is generally measured as total elapsed time for

! A relational algebra expression may have many equivalent. ! Cost is generally measured as total elapsed time for Chapter 13: Query Processing Basic Steps in Query Processing! Overview! Measures of Query Cost! Selection Operation! Sorting! Join Operation! Other Operations! Evaluation of Expressions 1. Parsing and

More information

Chapter 13: Query Processing Basic Steps in Query Processing

Chapter 13: Query Processing Basic Steps in Query Processing Chapter 13: Query Processing Basic Steps in Query Processing! Overview! Measures of Query Cost! Selection Operation! Sorting! Join Operation! Other Operations! Evaluation of Expressions 1. Parsing and

More information

Query optimization. Elena Baralis, Silvia Chiusano Politecnico di Torino. DBMS Architecture D B M G. Database Management Systems. Pag.

Query optimization. Elena Baralis, Silvia Chiusano Politecnico di Torino. DBMS Architecture D B M G. Database Management Systems. Pag. Database Management Systems DBMS Architecture SQL INSTRUCTION OPTIMIZER MANAGEMENT OF ACCESS METHODS CONCURRENCY CONTROL BUFFER MANAGER RELIABILITY MANAGEMENT Index Files Data Files System Catalog DATABASE

More information

Database Systems External Sorting and Query Optimization. A.R. Hurson 323 CS Building

Database Systems External Sorting and Query Optimization. A.R. Hurson 323 CS Building External Sorting and Query Optimization A.R. Hurson 323 CS Building External sorting When data to be sorted cannot fit into available main memory, external sorting algorithm must be applied. Naturally,

More information

Introduction to Database Systems CSE 344

Introduction to Database Systems CSE 344 Introduction to Database Systems CSE 344 Lecture 6: Basic Query Evaluation and Indexes 1 Announcements Webquiz 2 is due on Tuesday (01/21) Homework 2 is posted, due week from Monday (01/27) Today: query

More information

University of Virginia Department of Computer Science. CS 4501: Information Retrieval Fall 2015

University of Virginia Department of Computer Science. CS 4501: Information Retrieval Fall 2015 University of Virginia Department of Computer Science CS 4501: Information Retrieval Fall 2015 2:00pm-3:30pm, Tuesday, December 15th Name: ComputingID: This is a closed book and closed notes exam. No electronic

More information

Name Class Account UNIVERISTY OF CALIFORNIA, BERKELEY College of Engineering Department of EECS, Computer Science Division J.

Name Class Account UNIVERISTY OF CALIFORNIA, BERKELEY College of Engineering Department of EECS, Computer Science Division J. Do not write in this space CS186 Spring 2001 Name Class Account UNIVERISTY OF CALIFORNIA, BERKELEY College of Engineering Department of EECS, Computer Science Division J. Hellerstein Final Exam Final Exam:

More information

Database Systems CSE 414

Database Systems CSE 414 Database Systems CSE 414 Lecture 15-16: Basics of Data Storage and Indexes (Ch. 8.3-4, 14.1-1.7, & skim 14.2-3) 1 Announcements Midterm on Monday, November 6th, in class Allow 1 page of notes (both sides,

More information

Entity Relationship Graphs (14 pts)

Entity Relationship Graphs (14 pts) CS186 Bohannon/Cooper Spring 2008 Instructions: Class Account: UNIVERSITY OF CALIFORNIA Department of EECS, Computer Science Division First Exam: Introduction to Database Systems February 26, 2008 1. Write

More information

7. Query Processing and Optimization

7. Query Processing and Optimization 7. Query Processing and Optimization Processing a Query 103 Indexing for Performance Simple (individual) index B + -tree index Matching index scan vs nonmatching index scan Unique index one entry and one

More information

DSE 203 DAY 1: REVIEW OF DBMS CONCEPTS

DSE 203 DAY 1: REVIEW OF DBMS CONCEPTS DSE 203 DAY 1: REVIEW OF DBMS CONCEPTS Data Models A specification that precisely defines The structure of the data The fundamental operations on the data The logical language to specify queries on the

More information

Advanced Database Systems

Advanced Database Systems Lecture IV Query Processing Kyumars Sheykh Esmaili Basic Steps in Query Processing 2 Query Optimization Many equivalent execution plans Choosing the best one Based on Heuristics, Cost Will be discussed

More information

Fall, 2004 CIS 550. Database and Information Systems Midterm Solutions

Fall, 2004 CIS 550. Database and Information Systems Midterm Solutions Fall, 2004 CIS 550 Database and Information Systems Midterm Solutions The exam is 80 minutes long. There are 100 points total, plus 10 points extra credit. Please look at both sides of the paper. The last

More information

MongoDB Schema Design

MongoDB Schema Design MongoDB Schema Design Demystifying document structures in MongoDB Jon Tobin @jontobs MongoDB Overview NoSQL Document Oriented DB Dynamic Schema HA/Sharding Built In Simple async replication setup Automated

More information

CISC 3140 (CIS 20.2) Design & Implementation of Software Application II

CISC 3140 (CIS 20.2) Design & Implementation of Software Application II CISC 3140 (CIS 20.2) Design & Implementation of Software Application II Instructor : M. Meyer Email Address: meyer@sci.brooklyn.cuny.edu Course Page: http://www.sci.brooklyn.cuny.edu/~meyer/ CISC3140-Meyer-lec4

More information

CSE 344 Midterm. November 9, 2011, 9:30am - 10:20am. Question Points Score Total: 100

CSE 344 Midterm. November 9, 2011, 9:30am - 10:20am. Question Points Score Total: 100 CSE 344 Midterm November 9, 2011, 9:30am - 10:20am Name: Question Points Score 1 40 2 40 3 20 Total: 100 This exam is open book and open notes but NO laptops or other portable devices. You have 50 minutes;

More information

Examination paper for TDT4145 Data Modelling and Database Systems

Examination paper for TDT4145 Data Modelling and Database Systems Department of Computer and Information Science Examination paper for TDT4145 Data Modelling and Database Systems Academic contact during examination: Svein Erik Bratsberg: 99539963 Roger Midtstraum: 99572420

More information

Query Processing and Query Optimization. Prof Monika Shah

Query Processing and Query Optimization. Prof Monika Shah Query Processing and Query Optimization Query Processing SQL Query Is in Library Cache? System catalog (Dict / Dict cache) Scan and verify relations Parse into parse tree (relational Calculus) View definitions

More information

User Perspective. Module III: System Perspective. Module III: Topics Covered. Module III Overview of Storage Structures, QP, and TM

User Perspective. Module III: System Perspective. Module III: Topics Covered. Module III Overview of Storage Structures, QP, and TM Module III Overview of Storage Structures, QP, and TM Sharma Chakravarthy UT Arlington sharma@cse.uta.edu http://www2.uta.edu/sharma base Management Systems: Sharma Chakravarthy Module I Requirements analysis

More information

CMPS 181, Database Systems II, Final Exam, Spring 2016 Instructor: Shel Finkelstein. Student ID: UCSC

CMPS 181, Database Systems II, Final Exam, Spring 2016 Instructor: Shel Finkelstein. Student ID: UCSC CMPS 181, Database Systems II, Final Exam, Spring 2016 Instructor: Shel Finkelstein Student Name: Student ID: UCSC Email: Final Points: Part Max Points Points I 15 II 29 III 31 IV 19 V 16 Total 110 Closed

More information

Department of Information Technology B.E/B.Tech : CSE/IT Regulation: 2013 Sub. Code / Sub. Name : CS6302 Database Management Systems

Department of Information Technology B.E/B.Tech : CSE/IT Regulation: 2013 Sub. Code / Sub. Name : CS6302 Database Management Systems COURSE DELIVERY PLAN - THEORY Page 1 of 6 Department of Information Technology B.E/B.Tech : CSE/IT Regulation: 2013 Sub. Code / Sub. Name : CS6302 Database Management Systems Unit : I LP: CS6302 Rev. :

More information

CS425 Fall 2016 Boris Glavic Chapter 1: Introduction

CS425 Fall 2016 Boris Glavic Chapter 1: Introduction CS425 Fall 2016 Boris Glavic Chapter 1: Introduction Modified from: Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Textbook: Chapter 1 1.2 Database Management System (DBMS)

More information

Algorithms for Query Processing and Optimization. 0. Introduction to Query Processing (1)

Algorithms for Query Processing and Optimization. 0. Introduction to Query Processing (1) Chapter 19 Algorithms for Query Processing and Optimization 0. Introduction to Query Processing (1) Query optimization: The process of choosing a suitable execution strategy for processing a query. Two

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

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

CS157a Fall 2018 Sec3 Home Page/Syllabus

CS157a Fall 2018 Sec3 Home Page/Syllabus CS157a Fall 2018 Sec3 Home Page/Syllabus Introduction to Database Management Systems Instructor: Chris Pollett Office: MH 214 Phone Number: (408) 924 5145 Email: chris@pollett.org Office Hours: MW 4:30-5:45pm

More information

File Processing Approaches

File Processing Approaches Relational Database Basics Review Overview Database approach Database system Relational model File Processing Approaches Based on file systems Data are recorded in various types of files organized in folders

More information