Assignment 6: SQL III
|
|
- Christopher Chandler
- 5 years ago
- Views:
Transcription
1 Data Modelling and Databases Exercise dates: April 12/April 13, 2018 Ce Zhang, Gustavo Alonso Last update: April 16, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 6: SQL III This assignment will be discussed during the exercise slots indicated above. If you want feedback for your copy, hand it in during the lecture on the Wednesday before (preferably stapled and with your address. You can also annotate your copy with questions you think should be discussed during the exercise session. If you have questions that are not answered by the solution we provide, send them to Sabir This exercise sheet builds on the previous ones and it uses the Employees, ZVV and TPC-H schema and data which you can find on the course website. 1 Arrival times (ZVV The following queries can be executed on the ZVV schema. All queries are valid and return some result. What do they compute and which are equivalent? Two queries are equivalent if they return the same set of results for any data that the database may contain. 1. SELECT arrival_ time FROM stop_ times ORDER BY arrival_ time DESC LIMIT 1 2. SELECT MAX ( arrival_ time FROM stop_ times JOIN trips USING ( trip_id 4. SELECT MAX ( arrival_ time AS arrival_ time FROM stop_ times st JOIN trips t USING ( trip_id GROUP BY t. trip_id ORDER BY arrival_ time DESC LIMIT 1 3. SELECT MAX ( arrival_ time FROM stop_ times GROUP BY trip_id
2 2 Trip count (ZVV Repeat the task from question 1 for the following queries: 1. SELECT COUNT (* FROM trips 2. SELECT COUNT (* FROM trips t JOIN stop_ times st USING ( trip_id 3. SELECT COUNT (* FROM stop_ times GROUP BY trip_id 5. SELECT SUM ( vala FROM ( SELECT stop_name, COUNT (* AS vala FROM stop_ times JOIN stops USING ( stop_id GROUP BY stop_ name taba 6. SELECT COUNT ( DISTINCT trip_id FROM stop_ times 4. SELECT COUNT (* FROM trips JOIN stop_ times USING ( trip_id JOIN stops USING ( stop_id WHERE stop_ name LIKE '%' 3 Tram tracks and terminals (ZVV 1. A tram track is defined as a tuple of two consecutive stops (stop_name 1, stop_name 2. Two stops are consecutive, if there is a trip (trip_id which contains both stops and in which their stop_sequence numbers differ by 1: stop_sequence stop_name2 = 1 + stop_sequence stop_name1 Fill in the blanks below to obtain a SQL query that finds the number of trips for each tram track and lists the 10 most frequented ones. SELECT s1. stop_name, s2. stop_name, COUNT (* AS tcount FROM stop_ times st1, stop_ times st2, stops s1, stops s2 WHERE AND AND s1. stop_id = st1. stop_id AND s2. stop_id = st2. stop_id GROUP BY ORDER BY LIMIT 10
3 2. A tram stop (stop_name is terminal if it is the last stop for any trip (as identified through the trip_id. The last stop of a trip can be identified by its stop_sequence. For example, if a tram makes a trip along six tram stops, stop_sequence = 6 identifies the last stop of the trip. Fill in the blanks below to obtain an SQL query that finds all terminal tram stops (stop_name. Also make sure the result does not contain duplicate entries. SELECT FROM stops s JOIN stop_ times st1 USING ( stop_id, ( SELECT FROM GROUP BY st2 WHERE AND Knowing the database schema, how else could we formulate the previous query? Compare the results. 4 Union (TPC-H Reminder: In the TPC-H schema, one part can be provided by multiple suppliers. Supplypart relation stores this connection and (partid, supplierid is its key. Given the following queries: 1. SELECT p. partid, p. partname FROM Part p JOIN Supplypart sp ON sp. partid = p. partid WHERE sp. supplierid = 6 OR sp. supplierid = ( SELECT p. partid, p. partname FROM Part p JOIN Supplypart sp ON sp. partid = p. partid WHERE sp. supplierid = 6 UNION ( SELECT p. partid, p. partname FROM Part p JOIN Supplypart sp ON sp. partid = p. partid WHERE sp. supplierid = 33
4 1. What is the difference between results of the following two queries? 2. How to quickly make the first query equivalent to the second? 3. How to quickly make the second query equivalent to the first? 5 Rewriting subquery expressions (Employees What do the following queries do? Rewrite them without using subquery expressions 1 so that they return the same results. We do not count combinations using UNION, INTERSECT and EXCEPT as subquery expressions. 1. SELECT e. emp_no, e. first_name, e. last_ name FROM employees e WHERE e. emp_no IN ( SELECT dm. emp_no FROM dept_ manager dm JOIN salaries s ON dm. emp_no = s. emp_no WHERE dm. to_date > NOW ( AND s. to_date > NOW ( ORDER BY s. salary DESC LIMIT 5 1
5 2. SELECT e. emp_no, e. first_name, e. last_ name FROM employees e JOIN dept_ emp de ON e. emp_no = de. emp_no JOIN salaries s ON e. emp_no = s. emp_no WHERE de. to_date > NOW ( AND s. to_date > NOW ( AND s. salary > ( SELECT s1. salary FROM dept_ manager dm JOIN salaries s1 ON s1. emp_no = dm. emp_no WHERE dm. dept_no = de. dept_no AND dm. to_date > NOW ( AND s1. to_date > NOW (
6 3. SELECT e. emp_no, e. first_name, e. last_ name FROM employees e WHERE e. emp_no NOT IN ( SELECT dm. emp_no FROM dept_ manager dm WHERE dm. to_date > NOW ( 6 Having (Employees Write queries using the HAVING clause which do the following: 1. Find all employees who have worked in more than one department.
7 2. Find names of all departments where current average salaries are higher by 5000 than in year Null values (Employees Warning: This part of the exercise will alter the schema and data of the employee database and might make solutions to other exercises not work as expected. To be safe, create a new database for this exercise where you reload the employee data from scratch. We will alter the schema of the employee database slightly, to explore a use for the NULL value. To be more specific, currently if an employment is open-ended in the database, the date for its end is set to year An alternative is to use a NULL value for the end date, which signifies that there is no termination decided. In our current schema we cannot add NULL to the columns, so to play around we need to first modify the schema. ALTER TABLE salaries ALTER COLUMN to_date DROP NOT NULL Now we can replace infinity dates with NULLs. UPDATE salaries SET to_date = NULL WHERE EXTRACT ( YEAR FROM to_date = 9999
8 1. Now that this is done, run the following three queries and decide which one(s correctly return(s the number of employees who received a salary in December of To receive money in a month a person has to work at least one day in that month. SELECT COUNT (* FROM salaries WHERE to_date >= ' ' SELECT COUNT (* FROM salaries WHERE from_ date <= ' ' AND to_date >= ' ' SELECT COUNT (* FROM salaries WHERE from_ date <= ' ' AND ( to_date >= ' ' OR to_date IS NULL 2. We want to find out how many contracts (entries in the Salaries table ended in each particular year. For this we wrote the following query (Q1: SELECT EXTRACT ( YEAR FROM to_date AS year_expired, COUNT (* AS num_ expired FROM salaries GROUP BY year_ expired ORDER BY year_ expired We wrote a similar query (Q2 in a more verbose way, as follows: ( SELECT EXTRACT ( YEAR FROM to_date AS year_expired, COUNT (* AS num_ expired FROM salaries WHERE EXTRACT ( YEAR FROM to_date <= 1990 GROUP BY year_ expired ORDER BY year_ expired UNION ALL ( SELECT EXTRACT ( YEAR FROM to_date AS year_expired, COUNT (* AS num_ expired FROM salaries WHERE EXTRACT ( YEAR FROM to_date > 1990 GROUP BY year_ expired ORDER BY year_ expired For this exercise try and first answer the question without using the database. Then verify your answer by running the actual queries. Which of the following statement(s are true?
9 Q1 and Q2 return the same set of groups Q1 returns more groups than Q2 Q2 returns more groups than Q1 Q1 has one group more than Q2 Q2 has one group more than Q1 8 Case (TPC-H Select queries which return correct results for the following task: Get order ids, names of customers and date labels for all orders placed in years 1995 and later. For orders from years , the date labels should say '95-97'. For orders from year 1998 and later, the labels should say '98-XX'. SELECT orderid, customername, ( CASE WHEN o. orderdate >= ' ' THEN '98 - XX ' WHEN o. orderdate >= ' ' THEN '95-97 ' END AS date_ label FROM Orders o, Customer c WHERE o. customerid = c. customerid SELECT orderid, customername, date_ label FROM ( SELECT orderid, customername, ( CASE WHEN o. orderdate >= ' ' THEN '98 - XX ' WHEN o. orderdate >= ' ' THEN '95-97 ' ELSE ' NOTHING ' END AS date_ label FROM Orders o, Customer c WHERE o. customerid = c. customerid AS labeled WHERE date_ label!= ' NOTHING ' SELECT orderid, customername, ( CASE WHEN o. orderdate >= ' ' THEN ' ' WHEN o. orderdate >= ' ' THEN '98 - XX ' END AS date_ label FROM Orders o, Customer c WHERE o. customerid = c. customerid AND o. orderdate >= ' ' SELECT orderid, customername, ( CASE WHEN o. orderdate >= ' ' THEN '98 - XX ' WHEN o. orderdate >= ' ' THEN '95-97 ' END AS date_ label FROM Orders o, Customer c WHERE o. customerid = c. customerid AND o. orderdate >= ' '
10 9 Updatable views (Employees 1. Which of the following views are updatable? CREATE VIEW DeptManager AS SELECT e. emp_no, e. first_name, e. last_ name FROM employees e, dept_ manager dm WHERE e. emp_no = dm. emp_no CREATE VIEW Age AS SELECT emp_no, first_name, last_name, DATE_PART ('year ', age ( NOW (, birth_date AS age FROM employees CREATE VIEW HiredPast97 AS SELECT * FROM employees WHERE hire_ date >= ' ' CREATE VIEW DeptEmployee AS SELECT e. emp_no, e. first_name, e. last_name, d. dept_no, d. dept_ name FROM employees e, dept_ emp de, departments d WHERE e. emp_no = de. emp_no AND de. dept_no = d. dept_no CREATE VIEW Depts AS SELECT e. emp_no, COUNT (* AS number_ of_ depts FROM employees e, dept_ emp de, departments d WHERE e. emp_no = de. emp_no AND de. dept_no = d. dept_no GROUP BY e. emp_no CREATE VIEW HiredIn AS SELECT EXTRACT ( YEAR FROM hire_ date AS year_hired, COUNT (* FROM employees GROUP BY EXTRACT ( YEAR FROM hire_ date 2. Suppose we add a new column to the employees relation: annotation of type text. ALTER TABLE employees ADD annotation TEXT Can we update it using the updatable views above?
11 10 Custom database Create a schema using the following commands: CREATE TABLE team ( team_id SERIAL, team_ name VARCHAR (30 NOT NULL, city_ name VARCHAR (30, PRIMARY KEY ( team_id ; CREATE TABLE referee ( referee_ id SERIAL, first_ name VARCHAR (30 NOT NULL, last_ name VARCHAR (30 NOT NULL, PRIMARY KEY ( referee_ id ; CREATE TABLE game ( game_ date DATE NOT NULL, home_ team_ id INT NOT NULL, away_ team_ id INT NOT NULL, referee_ id INT NOT NULL, PRIMARY KEY ( game_date, home_team_id, away_ team_ id ; 10.1 Altering tables 1. Add a nullable column short_name to the team relation. Its values should not be longer than 3 characters. 2. Change the type of short_name to a string up to 5 characters. 3. Remove the created column.
12 10.2 Data manipulation Assume that all tables are empty, i.e. the following statements have been executed: DELETE FROM team ; DELETE FROM referee ; DELETE FROM game ; Select the statements that will execute correctly on the empty database. INSERT INTO team ( team_id, team_ name VALUES (0, 'a', (3, 'b', (5, 'c'; INSERT INTO referee ( first_ name VALUES (' John '; INSERT INTO team ( team_name VALUES ('x', ('y'; INSERT INTO game ( game_date, home_team_id, away_team_id, referee_ id VALUES ( NOW (, 0, 1, 1337 ; DELETE FROM team WHERE team_id = 0 INSERT INTO team ( team_ name VALUES (' Real Madrid C. F.'; UPDATE team SET city_ name =' Barcelona ' WHERE team_ name = ' FC Barcelona '; INSERT INTO referee ( first_name, last_ name VALUES (' Jane ', ' Smith '; INSERT INTO referee ( first_name, last_ name VALUES (' Jane ', ' Smith '; INSERT INTO game ( game_date, home_team_id, away_team_id, referee_ id VALUES (' ', 123, 321, 0, (' ', 123, 321, 1;
Assignment 6: SQL III Solution
Data Modelling and Databases Exercise dates: April 12/April 13, 2018 Ce Zhang, Gustavo Alonso Last update: April 16, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 6: SQL III Solution This assignment
More informationData Modelling and Databases Exercise dates: March 22/March 23, 2018 Ce Zhang, Gustavo Alonso Last update: March 26, 2018.
Data Modelling and Databases Exercise dates: March 22/March 23, 2018 Ce Zhang, Gustavo Alonso Last update: March 26, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 4: SQL This assignment will
More informationAssignment 5: SQL II Solution
Data Modelling and Databases Exercise dates: March 29/March 30, 2018 Ce Zhang, Gustavo Alonso Last update: April 12, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 5: SQL II Solution This assignment
More informationETH Zurich Spring Semester Systems Group Lecturer(s): Gustavo Alonso, Ce Zhang Date: March 27/March 31, Exercise 5: SQL II.
Data Modelling and Databases (DMDB) ETH Zurich Spring Semester 2017 Systems Group Lecturer(s): Gustavo Alonso, Ce Zhang Date: March Assistant(s): Claude Barthels, Eleftherios Sidirourgos, Last update:
More informationAssignment 2: Relational Model
Data Modelling and Databases Exercise dates: March 8/March 9, 208 Ce Zhang, Gustavo Alonso Last update: March 6, 208 Spring Semester 208 Head TA: Ingo Müller Assignment 2: Relational Model This assignment
More informationData Modelling and Databases Exercise dates: March 20/March 27, 2017 Ce Zhang, Gustavo Alonso Last update: February 17, 2018.
Data Modelling and Databases Exercise dates: March 20/March 27, 2017 Ce Zhang, Gustavo Alonso Last update: February 17, 2018 Spring Semester 2018 Head TA: Ingo Müller Datasets set-up This assignment will
More informationAssignment 7: Integrity Constraints
Data Modelling and Databases Exercise dates: April 19, 2018 Ce Zhang, Gustavo Alonso Last update: April 19, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 7: Integrity Constraints This assignment
More informationAssignment 2: Relational Model Solution
Data Modelling and Databases Exercise dates: March 8/March 9, 208 Ce Zhang, Gustavo Alonso Last update: March 6, 208 Spring Semester 208 Head TA: Ingo Müller Assignment 2: Relational Model Solution This
More informationETH Zurich Spring Semester Systems Group Lecturer(s): Gustavo Alonso, Ce Zhang Date: March 20/March 27, 2017.
Data Modelling and Databases (DMDB) ETH Zurich Spring Semester 2017 Systems Group Lecturer(s): Gustavo Alonso, Ce Zhang Date: March Assistant(s): Claude Barthels, Eleftherios Sidirourgos, Last update:
More informationCS 464/564 Introduction to Database Management System Instructor: Abdullah Mueen
CS 464/564 Introduction to Database Management System Instructor: Abdullah Mueen LECTURE 10: INTRODUCTION TO SQL FULL RELATIONAL OPERATIONS MODIFICATION LANGUAGE Union, Intersection, Differences (select
More informationAssignment 3: Relational Algebra Solution
Data Modelling and Databases Exercise dates: March 15/March 16, 2018 Ce Zhang, Gustavo Alonso Last update: April 13, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 3: Relational Algebra Solution
More informationAssignment 12: Commit Protocols and Replication
Data Modelling and Databases Exercise dates: May 24 / May 25, 2018 Ce Zhang, Gustavo Alonso Last update: June 04, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 12: Commit Protocols and Replication
More informationData Modelling and Databases. Exercise Session 2: Relational Model
Data Modelling and Databases Exercise Session 2: Relational Model 1 Interactive Session Format You can watch others swim as often as you want. In the end, you can only learn it by doing it yourself. Alfons
More informationCOUNT Function. The COUNT function returns the number of rows in a query.
Created by Ahsan Arif COUNT Function The COUNT function returns the number of rows in a query. The syntax for the COUNT function is: SELECT COUNT(expression) FROM tables WHERE predicates; Note: The COUNT
More informationExam. Question: Total Points: Score:
FS 2016 Data Modelling and Databases Date: June 9, 2016 ETH Zurich Systems Group Prof. Gustavo Alonso Exam Name: Question: 1 2 3 4 5 6 7 8 9 10 11 Total Points: 15 20 15 10 10 15 10 15 10 10 20 150 Score:
More information1Z0-007 ineroduction to oracle9l:sql
ineroduction to oracle9l:sql Q&A DEMO Version Copyright (c) 2007 Chinatag LLC. All rights reserved. Important Note Please Read Carefully For demonstration purpose only, this free version Chinatag study
More informationCS 464/564 Introduction to Database Management System Instructor: Abdullah Mueen
CS 464/564 Introduction to Database Management System Instructor: Abdullah Mueen LECTURE 9: INTRODUCTION TO SQL SELECT-FROM-WHERE STATEMENTS SUBQUERIES Set-up the database 1. Log in to your machine using
More informationCMP-3440 Database Systems
CMP-3440 Database Systems Advanced SQL Lecture 07 zain 1 Select Statement - Aggregates ISO standard defines five aggregate functions: COUNT returns number of values in specified column. SUM returns sum
More informationWHAT IS SQL. Database query language, which can also: Define structure of data Modify data Specify security constraints
SQL KEREM GURBEY WHAT IS SQL Database query language, which can also: Define structure of data Modify data Specify security constraints DATA DEFINITION Data-definition language (DDL) provides commands
More informationSQL (Structured Query Language)
Lecture Note #4 COSC4820/5820 Database Systems Department of Computer Science University of Wyoming Byunggu Yu, 02/13/2001 SQL (Structured Query Language) 1. Schema Creation/Modification: DDL (Data Definition
More informationAn Introduction to Structured Query Language
An Introduction to Structured Query Language Grant Weddell Cheriton School of Computer Science University of Waterloo CS 348 Introduction to Database Management Spring 2016 CS 348 (Intro to DB Mgmt) SQL
More informationOracle 1Z MySQL 5.6 Developer.
Oracle 1Z0-882 MySQL 5.6 Developer http://killexams.com/exam-detail/1z0-882 SELECT... WHERE DATEDIFF (dateline, 2013-01-01 ) = 0 C. Use numeric equivalents for comparing the two dates: SELECT...WHERE MOD(UNIX_TIMESTAMP
More informationDatabase Management Systems,
Database Management Systems SQL Query Language (3) 1 Topics Aggregate Functions in Queries count sum max min avg Group by queries Set Operations in SQL Queries Views 2 Aggregate Functions Tables are collections
More informationGIFT Department of Computing Science Data Selection and Filtering using the SELECT Statement
GIFT Department of Computing Science [Spring 2013] CS-217: Database Systems Lab-2 Manual Data Selection and Filtering using the SELECT Statement V1.0 4/12/2016 Introduction to Lab-2 This lab reinforces
More informationChapter 3: Introduction to SQL
Chapter 3: Introduction to SQL Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Chapter 3: Introduction to SQL Overview of the SQL Query Language Data Definition Basic Query
More informationDatabase Systems CSE 303. Outline. Lecture 06: SQL. What is Sub-query? Sub-query in WHERE clause Subquery
Database Systems CSE 303 Lecture 06: SQL 2016 Subquery Outline What is a Subquery Subquery in WHERE clause >ALL, >ANY, >=ALL,
More informationTables From Existing Tables
Creating Tables From Existing Tables After completing this module, you will be able to: Create a clone of an existing table. Create a new table from many tables using a SQL SELECT. Define your own table
More informationSQL. Char (30) can store ram, ramji007 or 80- b
SQL In Relational database Model all the information is stored on Tables, these tables are divided into rows and columns. A collection on related tables are called DATABASE. A named table in a database
More informationChapter 3: Introduction to SQL. Chapter 3: Introduction to SQL
Chapter 3: Introduction to SQL Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Chapter 3: Introduction to SQL Overview of The SQL Query Language Data Definition Basic Query
More informationDatabases - 4. Other relational operations and DDL. How to write RA expressions for dummies
Databases - 4 Other relational operations and DDL How to write RA expressions for dummies Step 1: Identify the relations required and CP them together Step 2: Add required selections to make the CP Step
More informationAn Introduction to Structured Query Language
An Introduction to Structured Query Language Grant Weddell Cheriton School of Computer Science University of Waterloo CS 348 Introduction to Database Management Winter 2017 CS 348 (Intro to DB Mgmt) SQL
More informationKing Fahd University of Petroleum and Minerals
1 King Fahd University of Petroleum and Minerals Information and Computer Science Department ICS 334: Database Systems Semester 041 Major Exam 1 18% ID: Name: Section: Grades Section Max Scored A 5 B 25
More informationAn Introduction to Structured Query Language
An Introduction to Structured Query Language Alexandra Roatiş David R. Cheriton School of Computer Science University of Waterloo CS 348 Introduction to Database Management Winter 2016 CS 348 SQL Winter
More informationLIKE Condition. % allows you to match any string of any length (including zero length)
Created by Ahsan Arif LIKE Condition The LIKE condition allows you to use wildcards in the where clause of an SQL statement. This allows you to perform pattern matching. The LIKE condition can be used
More informationCS 582 Database Management Systems II
Review of SQL Basics SQL overview Several parts Data-definition language (DDL): insert, delete, modify schemas Data-manipulation language (DML): insert, delete, modify tuples Integrity View definition
More informationCHAPTER: 4 ADVANCE SQL: SQL PERFORMANCE TUNING (12 Marks)
(12 Marks) 4.1 VIEW View: Views are virtual relations mainly used for security purpose, and can be provided on request by a particular user. A view can contain all rows of a table or select rows from a
More informationRani Durgavati Vishwavidyalaya Jabalpur (M.P.) (UICSA) Master of Computer Application (MCA) Practical List of. MCA III SEM Session -2010
Rani Durgavati Vishwavidyalaya Jabalpur (M.P.) (UICSA) Master of Computer Application (MCA) Practical List of MCA III SEM Session -2010 MCA-301 - Object Oriented Programming in C++ 1. WAP to generate Fibonacci
More informationAn Introduction to Structured Query Language
An Introduction to Structured Query Language Grant Weddell David R. Cheriton School of Computer Science University of Waterloo CS 348 Introduction to Database Management Spring 2012 CS 348 (Intro to DB
More informationA subquery is a nested query inserted inside a large query Generally occurs with select, from, where Also known as inner query or inner select,
Sub queries A subquery is a nested query inserted inside a large query Generally occurs with select, from, where Also known as inner query or inner select, Result of the inner query is passed to the main
More informationAn Introduction to Structured Query Language
An Introduction to Structured Query Language Grant Weddell David R. Cheriton School of Computer Science University of Waterloo CS 348 Introduction to Database Management Spring 2012 CS 348 (Intro to DB
More informationIBM DB2 9 Family Fundamentals. Download Full Version :
IBM 000-730 DB2 9 Family Fundamentals Download Full Version : http://killexams.com/pass4sure/exam-detail/000-730 Answer: D QUESTION: 292 The EMPLOYEE table contains the following information: EMPNO NAME
More informationSQL Structured Query Language Introduction
SQL Structured Query Language Introduction Rifat Shahriyar Dept of CSE, BUET Tables In relational database systems data are represented using tables (relations). A query issued against the database also
More informationExam Actual. Higher Quality. Better Service! QUESTION & ANSWER
Higher Quality Better Service! Exam Actual QUESTION & ANSWER Accurate study guides, High passing rate! Exam Actual provides update free of charge in one year! http://www.examactual.com Exam : 1Z0-047 Title
More informationA Sample Solution to the Midterm Test
CS3600.1 Introduction to Database System Fall 2016 Dr. Zhizhang Shen A Sample Solution to the Midterm Test 1. A couple of W s(10) (a) Why is it the case that, by default, there are no duplicated tuples
More informationSQL Data Query Language
SQL Data Query Language André Restivo 1 / 68 Index Introduction Selecting Data Choosing Columns Filtering Rows Set Operators Joining Tables Aggregating Data Sorting Rows Limiting Data Text Operators Nested
More informationINTERMEDIATE SQL GOING BEYOND THE SELECT. Created by Brian Duffey
INTERMEDIATE SQL GOING BEYOND THE SELECT Created by Brian Duffey WHO I AM Brian Duffey 3 years consultant at michaels, ross, and cole 9+ years SQL user What have I used SQL for? ROADMAP Introduction 1.
More informationExam. Question: Total Points: Score:
FS 2016 Data Modelling and Databases Date: August 17, 2016 ETH Zurich Systems Group Prof. Gustavo Alonso Exam Name: Question: 1 2 3 4 5 6 7 8 9 10 11 Total Points: 11 11 10 12 9 10 11 10 15 10 8 117 Score:
More informationAssignment 1: Entity-Relationship Model Solution
Data odelling and Databases Exercise dates: arch /arch 2, 208 Ce Zhang, Gustavo Alonso Last update: arch 08, 208 Spring Semester 208 Head TA: Ingo üller Assignment : Entity-Relationship odel Solution This
More informationEE221 Databases Practicals Manual
EE221 Databases Practicals Manual Lab 1 An Introduction to SQL Lab 2 Database Creation and Querying using SQL Assignment Data Analysis, Database Design, Implementation and Relation Normalisation School
More informationIn This Lecture. Yet More SQL SELECT ORDER BY. SQL SELECT Overview. ORDER BY Example. ORDER BY Example. Yet more SQL
In This Lecture Yet More SQL Database Systems Lecture 9 Natasha Alechina Yet more SQL ORDER BY Aggregate functions and HAVING etc. For more information Connoly and Begg Chapter 5 Ullman and Widom Chapter
More information1 SQL Structured Query Language
1 SQL Structured Query Language 1.1 Tables In relational database systems (DBS) data are represented using tables (relations). A query issued against the DBS also results in a table. A table has the following
More informationLecture 04: SQL. Monday, April 2, 2007
Lecture 04: SQL Monday, April 2, 2007 1 Outline The Project Nulls (6.1.6) Outer joins (6.3.8) Database Modifications (6.5) 2 NULLS in SQL Whenever we don t have a value, we can put a NULL Can mean many
More informationChapter 3: Introduction to SQL
Chapter 3: Introduction to SQL Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Chapter 3: Introduction to SQL Overview of the SQL Query Language Data Definition Basic Query
More informationLecture 04: SQL. Wednesday, October 4, 2006
Lecture 04: SQL Wednesday, October 4, 2006 1 Outline The Project Nulls (6.1.6) Outer joins (6.3.8) Database Modifications (6.5) 2 The Project Application: Boutique online music and book store Project:
More informationDatabase Management Systems,
Database Management Systems SQL Query Language (1) 1 Topics Introduction SQL History Domain Definition Elementary Domains User-defined Domains Creating Tables Constraint Definition INSERT Query SELECT
More informationAssignment 12: Commit Protocols and Replication Solution
Data Modelling and Databases Exercise dates: May 24 / May 25, 2018 Ce Zhang, Gustavo Alonso Last update: June 04, 2018 Spring Semester 2018 Head TA: Ingo Müller Assignment 12: Commit Protocols and Replication
More informationC Exam Questions Demo IBM. Exam Questions C
IBM Exam Questions C2090-543 DB2 9.7 Application Development (C2090-543) Version:Demo 1. Which condition will prevent a developer from using the DB2 Call Level Interface in an application? A. The developer
More informationAssignment Grading Rubric
Final Project Outcomes addressed in this activity: Overview and Directions: 1. Create a new Empty Database called Final 2. CREATE TABLES The create table statements should work without errors, have the
More informationOracle EXAM - 1Z Oracle Database SQL Expert. Buy Full Product.
Oracle EXAM - 1Z0-047 Oracle Database SQL Expert Buy Full Product http://www.examskey.com/1z0-047.html Examskey Oracle 1Z0-047 exam demo product is here for you to test the quality of the product. This
More informationQuerying Data with Transact SQL
Course 20761A: Querying Data with Transact SQL Course details Course Outline Module 1: Introduction to Microsoft SQL Server 2016 This module introduces SQL Server, the versions of SQL Server, including
More informationThe SQL data-definition language (DDL) allows defining :
Introduction to SQL Introduction to SQL Overview of the SQL Query Language Data Definition Basic Query Structure Additional Basic Operations Set Operations Null Values Aggregate Functions Nested Subqueries
More informationIntermediate SQL ( )
CSL 451 Introduction to Database Systems Intermediate SQL (4.1-4.4) Department of Computer Science and Engineering Indian Institute of Technology Ropar Narayanan (CK) Chatapuram Krishnan! Summary Join
More informationSQL Data Manipulation Language. Lecture 5. Introduction to SQL language. Last updated: December 10, 2014
Lecture 5 Last updated: December 10, 2014 Throrought this lecture we will use the following database diagram Inserting rows I The INSERT INTO statement enables inserting new rows into a table. The basic
More informationCS145 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 informationINDEX. 1 Basic SQL Statements. 2 Restricting and Sorting Data. 3 Single Row Functions. 4 Displaying data from multiple tables
INDEX Exercise No Title 1 Basic SQL Statements 2 Restricting and Sorting Data 3 Single Row Functions 4 Displaying data from multiple tables 5 Creating and Managing Tables 6 Including Constraints 7 Manipulating
More informationDatabases. Relational Model, Algebra and operations. How do we model and manipulate complex data structures inside a computer system? Until
Databases Relational Model, Algebra and operations How do we model and manipulate complex data structures inside a computer system? Until 1970.. Many different views or ways of doing this Could use tree
More informationDownloaded from
Lesson 16: Table and Integrity Constraints Integrity Constraints are the rules that a database must follow at all times. Various Integrity constraints are as follows:- 1. Not Null: It ensures that we cannot
More informationASSIGNMENT NO Computer System with Open Source Operating System. 2. Mysql
ASSIGNMENT NO. 3 Title: Design at least 10 SQL queries for suitable database application using SQL DML statements: Insert, Select, Update, Delete with operators, functions, and set operator. Requirements:
More informationThe Relational Model. Why Study the Relational Model? Relational Database: Definitions
The Relational Model Database Management Systems, R. Ramakrishnan and J. Gehrke 1 Why Study the Relational Model? Most widely used model. Vendors: IBM, Microsoft, Oracle, Sybase, etc. Legacy systems in
More informationIBM A Assessment: DB2 9 Fundamentals-Assessment. Download Full Version :
IBM A2090-730 Assessment: DB2 9 Fundamentals-Assessment Download Full Version : http://killexams.com/pass4sure/exam-detail/a2090-730 C. 2 D. 3 Answer: C QUESTION: 294 In which of the following situations
More informationIBM Exam C DB2 9.5 SQL Procedure Developer Version: 3.0 [ Total Questions: 97 ]
s@lm@n IBM Exam C2190-735 DB2 9.5 SQL Procedure Developer Version: 3.0 [ Total Questions: 97 ] IBM C2190-735 : Practice Test Question No : 1 Given the statement shown below: SELECT ROW CHANGE TOKEN FOR
More informationCS 327E Lecture 2. Shirley Cohen. January 27, 2016
CS 327E Lecture 2 Shirley Cohen January 27, 2016 Agenda Announcements Homework for today Reading Quiz Concept Questions Homework for next time Announcements Lecture slides and notes will be posted on the
More informationIntroduction to Oracle9i: SQL
Oracle 1z0-007 Introduction to Oracle9i: SQL Version: 22.0 QUESTION NO: 1 Oracle 1z0-007 Exam Examine the data in the EMPLOYEES and DEPARTMENTS tables. You want to retrieve all employees, whether or not
More informationObjectives. After completing this lesson, you should be able to do the following:
Objectives After completing this lesson, you should be able to do the following: Describe the types of problems that subqueries can solve Define subqueries List the types of subqueries Write single-row
More information1D D0-541 CIW v5 Database Design Specialist Version 1.7
1D0-541 CIW v5 Database Design Specialist Version 1.7 QUESTION NO: 1 With regard to databases, what is normalization? A. The process of reducing the cardinality of a relation B. The process of organizing
More informationMySQL Query Tuning 101. Sveta Smirnova, Alexander Rubin April, 16, 2015
MySQL Query Tuning 101 Sveta Smirnova, Alexander Rubin April, 16, 2015 Agenda 2 Introduction: where to find slow queries Indexes: why and how do they work All about EXPLAIN More tools Where to find more
More information1 SQL Structured Query Language
1 SQL Structured Query Language 1.1 Tables In relational database systems (DBS) data are represented using tables (relations). A query issued against the DBS also results in a table. A table has the following
More informationOracle Exam 1z0-882 Oracle Certified Professional, MySQL 5.6 Developer Version: 7.0 [ Total Questions: 100 ]
s@lm@n Oracle Exam 1z0-882 Oracle Certified Professional, MySQL 5.6 Developer Version: 7.0 [ Total Questions: 100 ] Oracle 1z0-882 : Practice Test Question No : 1 Consider the statements: Mysql> drop function
More informationDatabase implementation Further SQL
IRU SEMESTER 2 January 2010 Semester 1 Session 2 Database implementation Further SQL Objectives To be able to use more advanced SQL statements, including Renaming columns Order by clause Aggregate functions
More informationLecture 3 SQL. Shuigeng Zhou. September 23, 2008 School of Computer Science Fudan University
Lecture 3 SQL Shuigeng Zhou September 23, 2008 School of Computer Science Fudan University Outline Basic Structure Set Operations Aggregate Functions Null Values Nested Subqueries Derived Relations Views
More informationSchool of Computing, Engineering and Information Sciences University of Northumbria. Set Operations
Set Operations Aim: To understand how to do the equivalent of the UNION, DIFFERENCE and INTERSECT set operations in SQL. Outline of Session: Do some example SQL queries to learn to differentiate between
More informationDo You Know SQL? About Semantic Errors in SQL Queries. Christian Goldberg
Do You Know SQL? About Semantic Errors in SQL Queries Christian Goldberg goldberg@informatik.uni-halle.de Institut für Informatik Martin-Luther-Universität Halle-Wittenberg TLAD 2009 Birmingham, 6th July
More informationExercise 12: Commit Protocols and Replication
Data Modelling and Databases (DMDB) ETH Zurich Spring Semester 2017 Systems Group Lecturer(s): Gustavo Alonso, Ce Zhang Date: May 22, 2017 Assistant(s): Claude Barthels, Eleftherios Sidirourgos, Eliza
More informationWhat are temporary tables? When are they useful?
What are temporary tables? When are they useful? Temporary tables exists solely for a particular session, or whose data persists for the duration of the transaction. The temporary tables are generally
More information1z Oracle Database SQL Expert
1z0-047 Oracle Database SQL Expert Version 1.6 QUESTION NO: 1 Which three possible values can be set for the TIME_ZONE session parameter by using the ALTER SESSION command? (Choose three.) E. 'os' local
More informationSQL: Structured Query Language Nested Queries
.. Cal Poly Spring 2013 CPE/CSC 365 Introduction to Database Systems Alexander Dekhtyar Eriq Augustine.. SQL: Structured Query Language Nested Queries One of the most important features of SQL is that
More informationLab # 6. Using Subqueries and Set Operators. Eng. Alaa O Shama
The Islamic University of Gaza Faculty of Engineering Department of Computer Engineering ECOM 4113: Database Lab Lab # 6 Using Subqueries and Set Operators Eng. Alaa O Shama November, 2015 Objectives:
More informationQQ Group
QQ Group: 617230453 1 Extended Relational-Algebra-Operations Generalized Projection Aggregate Functions Outer Join 2 Generalized Projection Extends the projection operation by allowing arithmetic functions
More informationConstraints. Primary Key Foreign Key General table constraints Domain constraints Assertions Triggers. John Edgar 2
CMPT 354 Constraints Primary Key Foreign Key General table constraints Domain constraints Assertions Triggers John Edgar 2 firstname type balance city customerid lastname accnumber rate branchname phone
More informationWorking with Columns, Characters and Rows. Copyright 2008, Oracle. All rights reserved.
Working with Columns, Characters and Rows What Will I Learn? In this lesson, you will learn to: Apply the concatenation operator to link columns to other columns, arithmetic expressions or constant values
More informationMidterm Review. Winter Lecture 13
Midterm Review Winter 2006-2007 Lecture 13 Midterm Overview 3 hours, single sitting Topics: Relational model relations, keys, relational algebra expressions SQL DDL commands CREATE TABLE, CREATE VIEW Specifying
More informationDatabase Management Systems Paper Solution
Database Management Systems Paper Solution Following questions have been asked in GATE CS exam. 1. Given the relations employee (name, salary, deptno) and department (deptno, deptname, address) Which of
More informationMicrosoft Exam Querying Microsoft SQL Server 2012 Version: 13.0 [ Total Questions: 153 ]
s@lm@n Microsoft Exam 70-461 Querying Microsoft SQL Server 2012 Version: 13.0 [ Total Questions: 153 ] Question No : 1 CORRECT TEXT Microsoft 70-461 : Practice Test You have a database named Sales that
More informationCS2 Current Technologies Lecture 3: SQL - Joins and Subqueries
T E H U N I V E R S I T Y O H F R G E D I N B U CS2 Current Technologies Lecture 3: SQL - Joins and Subqueries Chris Walton (cdw@dcs.ed.ac.uk) 11 February 2002 Multiple Tables 1 Redundancy requires excess
More informationStructure Query Language (SQL)
Structure Query Language (SQL) 1 6.12.2 OR operator OR operator is also used to combine multiple conditions with Where clause. The only difference between AND and OR is their behavior. When we use AND
More informationL e a r n S q l select where
L e a r n S q l The select statement is used to query the database and retrieve selected data that match the criteria that you specify. Here is the format of a simple select statement: select "column1"
More informationCOMP 430 Intro. to Database Systems
COMP 430 Intro. to Database Systems Multi-table SQL Get clickers today! Slides use ideas from Chris Ré and Chris Jermaine. The need for multiple tables Using a single table leads to repeating data Provides
More informationUnit 1 - Chapter 4,5
Unit 1 - Chapter 4,5 CREATE DATABASE DatabaseName; SHOW DATABASES; USE DatabaseName; DROP DATABASE DatabaseName; CREATE TABLE table_name( column1 datatype, column2 datatype, column3 datatype,... columnn
More information1) Introduction to SQL
1) Introduction to SQL a) Database language enables users to: i) Create the database and relation structure; ii) Perform insertion, modification and deletion of data from the relationship; and iii) Perform
More informationPrivate Institute of Aga NETWORK DATABASE LECTURER NIYAZ M. SALIH
Private Institute of Aga 2018 NETWORK DATABASE LECTURER NIYAZ M. SALIH Data Definition Language (DDL): String data Types: Data Types CHAR(size) NCHAR(size) VARCHAR2(size) Description A fixed-length character
More information