D 8 9 1. (a) (b) (c) (d) (e) 2. (a) COMS W4111.001–Introduction to Databases Fall 2020 Homework Assignment 2 Solutions ΠD (T2 )= T1 IT1.C=T2.A T2 = T1 I T2 = T1 − T2 = (T1 IT2)I(T2 IT2)= ρ(T1(1 → starName1,2 → title1,3 → year1),Stars) ρ(T2(1 → starName2,2 → title2,3 → year2),Stars) Πtitle1,year1,title2,year2(T1 I(title1̸=title2∨year1̸=year2)∧starName1=starName2 […]
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INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 14 Query Optimization Part II Week 7 1 INFO20003 Database Systems © University of Melbourne Remember this? Components of a DBMS DBMS Query processing module Parser/ Compiler Optimizer Executor TODAY Plan enumeration Concurrency control module Transaction mgr. Lock mgr. Crash recovery module Concurrency control module Log mgr. Storage
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INFO20003 Database Systems Dr Renata Borovica-Gajic* Lecture 20 Distributed Databases Week 10 slides adopted from David Eccles Today’s lecture • What is a distributed database? • Why are they used, and how they work • Pros and cons of different approaches centralized database distributed database replicated database material in this lecture is drawn from Hoffer
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INFO20003 Database Systems Dr Renata Borovica-Gajic* Lecture 18 Database Administration slides adopted Week 9 from David Eccles Today’s Lecture… • FunctionsthatarepartoftheDBArole – Capacity planning • Estimating disk space and transaction load – Backup and recovery • Types of failures, responses to these, types of backups INFO20003 Database Systems © University of Melbourne 2 Capacity Planning
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COMS W4111.001 — Introduction to Databases Fall 2020 Homework Assignment 1 Due Date: Friday October 9, 5 p.m. ET Submission: on Gradescope 1. (3 pts.) Let us design a database for a university. This database will include information about departments, professors, and courses (and their offerings): ● Information about professors includes their SSN and name.
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CS W4111.001 Introduction to Databases Fall 2020 Computer Science Department Columbia University Overview of Query Optimization • So far, we studied choices—and their costs—for plans for individual relational operators (selections, projections, joins, …) • We will now cover more complex queries 45 Query Optimization: Outline Given a SQL query, ideally we would: 1. Consider all
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INFO20003 Week 4 Lab ER Modelling with MySQL Workbench Objectives: In this lab you will: • Design an ER model • Forward engineer the ER design to SQL • Prepare the schema for next week’s lab Section 1: Develop an ER model Choose either Task 1.1 or Task 1.2. Students who are more confident with
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COMS W4111.001–Introduction to Databases Fall 2020 Homework Assignment 2 Due Date: Friday October 23 at 5 p.m. ET (We will be posting homework solutions on Wednesday October 28 after 5 p.m. ET) Submission: On Gradescope 1. (1.5 pts.) Consider relation T1, with attributes A, B, and C: and relation T2, with attributes A, B, and
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CS W4111.001 Introduction to Databases Fall 2020 Computer Science Department Columbia University 1 Object-Relational Databases, or ORDBMSs 2 Inheritance • To reuse and refine type definitions • To create hierarchies of collections with similar but not identical objects SQL standard doesn’t support multiple inheritance, so each subtype has only one immediate supertype 32 Type Inheritance
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1. COMS W4111.001 — Introduction to Databases Fall 2020 Homework Assignment 1 Solutions 2. CREATE TABLE Drivers ( LicenseNumber Name DateOfBirth PRIMARY KEY CREATE TABLE InsurancePolicies ( PolicyNumber Cost CHAR(32), CHAR(40), DATE, (LicenseNumber)) INTEGER, REAL, REAL, (PolicyNumber)) INTEGER, CHAR(32), DATE, REAL, CHAR(50), (LicenseNumber) REFERENCES Drivers CREATE TABLE Tickets ( CREATE TABLE Cars ( CREATE
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