1. Database SQL

2. Relational language SQL SQL or Structured Query Language SQL is an interactive Query language and database programming Language

3. SQL History Originally (mid-’70s) defined as Sequel in System R project at IBM San Jose Research Center Name change to SQL, multiple iterations of standards (’86, ’87, ’89, ’92,…) Has usual good and bad aspects of much- used, much-extended languages Think of C++ or Fortran-90…

4. SQL From American National Institue ANSI, it was SQL-86 (ANSI 1986) and SQL-2 (SQL-92) SQL Language is divided into DDL : Data Definition Language DML : Data Manipulation Language DCL : Data Control Language

5. DDL It is commands used for: Creates databases, tables, indices Create views Specify integrity constraints DDL commands are CREATE ALTER DROP

6. DML For values in the database Perform queries Perform updates DML commands: SELECT UPDATE DELETE INSERT

7. DCL For controlling the access of data DCL commands are GRANT REVOKE

8. SQL - DDL It used to define and manage the structure of tables in the database Its statements as CREATE TABLECREATE INDEX ALTER TABLE DROP TABLEDROP INDEX

9. Creating tables create table name (attr1 domain1, attr2 domain2, … ) Can also have integrity constraints not null unique primary key (attr1, attr2, … ) check (predicate) To be a primary key, must be non-null and unique Different SQLs differ about whether not null is implied by primary key

10. CREATE Commands Create the table S (s#, Sname, Status, City) CREATE TABLE S (s# CHAR(5), Sname CHAR(20), Status INT, City CHAR(15), PRIMARY KEY (s#)).

11. Data Definition Language Every attribute has a domain Some common ones: char(n): character string of fixed length n varchar(n): character string of length up to n int: integer, exact size machine-dependent smallint: another (usually smaller than int) integer

12. More common domains numeric(p,d): fixed point number with p total digits, d of them to the right of the decimal point real, double precision: floating-point numbers float(n): floating-point with precision at least n date: a calendar date (day, month, year) time: hours, minutes, seconds datetime: a time on a date

13. 13 Example: Default Values CREATE TABLE Students( name CHAR(30) PRIMARY KEY, addr CHAR(50) DEFAULT ‘123 Sesame St.’, phone CHAR(16) );

14. 14 Other Keys CREATE TABLE Product ( productID CHAR(10), name CHAR(30), category VARCHAR(20), price INT, PRIMARY KEY (productID), UNIQUE (name, category)) CREATE TABLE Product ( productID CHAR(10), name CHAR(30), category VARCHAR(20), price INT, PRIMARY KEY (productID), UNIQUE (name, category)) There is at most one PRIMARY KEY; there can be many UNIQUE

15. 15 Foreign Key Constraints (name, category) must be a PRIMARY KEY CREATE TABLE Purchase ( prodName CHAR(30), category VARCHAR(20), date DATETIME, FOREIGN KEY (prodName, category) REFERENCES Product(name, category) CREATE TABLE Purchase ( prodName CHAR(30), category VARCHAR(20), date DATETIME, FOREIGN KEY (prodName, category) REFERENCES Product(name, category)

16. Example Create a database which can use in Seaport The database consists of 3 tables: 1. Sailors (sid integer, sname char, rating integer, age real) 2. Reverses (sid, bid, day) 3. Boats (bid integer, bname char, color char)

17. DROP command DROP TABLE BOATS DROP TABLE REVERSES DROP TABLE SAILORS

18. ALTER COMMAND ALTER TABLE Sailors ADD address CHAR(30) ALTER TABLE Boats DROP colors

19. INDEX CREATE INDEX S ON Sailors (sid) CREATE INDEX R ON REVERSES (sid, bid, day) CREATE INDEX B ON Boats (bid) DROP INDEX R

20. 20 Example 1 WorksIn ProfessorDepartment SinceStatus CREATE TABLE WorksIn ( Since DATE, -- attribute Status CHAR (10), -- attribute ProfId INTEGER, -- role (key of Professor) DeptId CHAR (4), -- role (key of Department) PRIMARY KEY (ProfId), -- since a professor works in at most one department FOREIGN KEY (ProfId) REFERENCES Professor (Id), FOREIGN KEY (DeptId) REFERENCES Department )

21. 21 Example 2 Sold ProjectPart DatePrice CREATE TABLE Sold ( Price INTEGER, -- attribute Date DATE, -- attribute ProjId INTEGER, -- role SupplierId INTEGER, -- role PartNumber INTEGER, -- role PRIMARY KEY (ProjId, SupplierId, PartNumber, Date), //WHY DATE? FOREIGN KEY (ProjId) REFERENCES Project, FOREIGN KEY (SupplierId) REFERENCES Supplier (Id), FOREIGN KEY (PartNumber) REFERENCES Part (Number) ) Supplier

22. DML  SELECT The basic format for the SELECT command is SELECT FROM WHERE

23. Simple SQL Query PNamePriceCategoryManufacturer Gizmo$19.99GadgetsGizmoWorks Powergizmo$29.99GadgetsGizmoWorks SingleTouch$149.99PhotographyCanon MultiTouch$203.99HouseholdHitachi SELECT * FROM Product WHERE category=‘Gadgets’ Product PNamePriceCategoryManufacturer Gizmo$19.99GadgetsGizmoWorks Powergizmo$29.99GadgetsGizmoWorks “selection”

24. Examples Retrieve the birthdate and address of employee whose name is “John B. Smith” SELECT Bdate, Address FROM Employee WHERE Name = ‘John B. Smith’

25. Example Retrieve all Sailors name whose reverses boat id 103 SELECT sname FROM Sailors, Reverses WHERE Sailors.sid = Reverses.sid AND Reverses.bid=103

26. ORDER BY The Select command has sentential ORDER BY Select S.sname FROM Sailors S, Reverses R WHERE S.sid = R.sid AND R.bid = 103 ORDER BY age DESC

27. 27 The LIKE operator s LIKE p: pattern matching on strings p may contain two special symbols: % = any sequence of characters _ = any single character Product(PName, Price, Category, Manufacturer) Find all products whose name mentions ‘gizmo’: SELECT * FROM Products WHERE PName LIKE ‘%gizmo%’

28. Eliminating Duplicates SELECT DISTINCT category FROM Product SELECT DISTINCT category FROM Product Compare to: SELECT category FROM Product SELECT category FROM Product Category Gadgets Photography Household Category Gadgets Photography Household

29. Joins in SQL Connect two or more tables: PNamePriceCategoryManufacturer Gizmo$19.99GadgetsGizmoWorks Powergizmo$29.99GadgetsGizmoWorks SingleTouch$149.99PhotographyCanon MultiTouch$203.99HouseholdHitachi Product Company CnameStockPriceCountry GizmoWorks25USA Canon65Japan Hitachi15Japan What is the connection between them ?

30. Joins Product (pname, price, category, manufacturer) Company (cname, stockPrice, country) Find all countries that manufacture some product in the ‘Gadgets’ category. SELECT country FROM Product, Company WHERE manufacturer=cname AND category=‘Gadgets’

31. Joins Product (pname, price, category, manufacturer) Purchase (buyer, seller, store, product) Person(persname, phoneNumber, city) Find names of people living in Seattle that bought some product in the ‘Gadgets’ category, and the names of the stores they bought such product from SELECT DISTINCT persname, store FROM Person, Purchase, Product WHERE persname=buyer AND product = pname AND city=‘Seattle’ AND category=‘Gadgets’

32. Complex Correlated Query Product ( pname, price, category, maker, year) Find products (and their manufacturers) that are more expensive than all products made by the same manufacturer before 1972 Powerful, but much harder to optimize ! SELECT DISTINCT pname, maker FROM Product AS x WHERE price > ALL (SELECT price FROM Product AS y WHERE x.maker = y.maker AND y.year < 1972); SELECT DISTINCT pname, maker FROM Product AS x WHERE price > ALL (SELECT price FROM Product AS y WHERE x.maker = y.maker AND y.year < 1972);

33. 33 Aggregate Operators COUNT (*) COUNT ( [DISTINCT] A) A is a column SUM ( [DISTINCT] A) AVG ( [DISTINCT] A) MAX (A) MIN (A) Count the number of sailors SELECT COUNT (*) FROM Sailors S

34. 34 Find name and age of the oldest sailor(s) SELECT S.sname, MAX (S.age) FROM Sailors S This is illegal, but why? Cannot combine a column with a value SELECT S.sname, S.age FROM Sailors S WHERE S.age = (SELECT MAX (S2.age) FROM Sailors S2)

35. Examples What is the average distance between plazas? select avg(distfromprev) from plazas How many events are there? select count(*) from events  29 How many distinct times are there? select count(distinct occurredat) from events  24 How do we find the duplicates?

36. Aggregation: Count SELECT Count(*) FROM Product WHERE year > 1995 SELECT Count(*) FROM Product WHERE year > 1995 Except COUNT, all aggregations apply to a single attribute

37. Aggregation: Count COUNT applies to duplicates, unless otherwise stated: SELECT Count(category) same as Count(*) FROM Product WHERE year > 1995 Better: SELECT Count(DISTINCT category) FROM Product WHERE year > 1995

38. Aggregate functions GROUP BY & HAVING GROUP BY for grouping the Query results Having to provide a condition on the group

39. Example SELECT Pnumber, Pname, COUNT(*) FROM PROJECT, WORKS_ON WHERE Pnumber = PNO GROUP BY Pnumber, Pname HAVING COUNT(*) >2

40. Grouping and Aggregation Usually, we want aggregations on certain parts of the relation. Purchase(product, date, price, quantity) Example 2: find total sales after 10/1 per product. SELECT product, Sum(price*quantity) AS TotalSales FROM Purchase WHERE date > “10/1” GROUPBY product SELECT product, Sum(price*quantity) AS TotalSales FROM Purchase WHERE date > “10/1” GROUPBY product Let’s see what this means…

41. Grouping and Aggregation 1. Compute the FROM and WHERE clauses. 2. Group by the attributes in the GROUPBY 3. Select one tuple for every group (and apply aggregation) SELECT can have (1) grouped attributes or (2) aggregates.

42. HAVING Clause SELECT product, Sum(price * quantity) FROM Purchase WHERE date > “9/1” GROUP BY product HAVING Sum(quantity) > 30 SELECT product, Sum(price * quantity) FROM Purchase WHERE date > “9/1” GROUP BY product HAVING Sum(quantity) > 30 Same query, except that we consider only products that had at least 100 buyers. HAVING clause contains conditions on aggregates.

43. Find all authors who wrote at least 10 documents: Attempt 1: with nested queries SELECT DISTINCT Author.name FROM Author WHERE count(SELECT Wrote.url FROM Wrote WHERE Author.login=Wrote.login) > 10 SELECT DISTINCT Author.name FROM Author WHERE count(SELECT Wrote.url FROM Wrote WHERE Author.login=Wrote.login) > 10 This is SQL by a novice

44. Find all authors who wrote at least 10 documents: Attempt 2: SQL style (with GROUP BY) SELECT Author.name FROM Author, Wrote WHERE Author.login=Wrote.login GROUP BY Author.name HAVING count(wrote.url) > 10 SELECT Author.name FROM Author, Wrote WHERE Author.login=Wrote.login GROUP BY Author.name HAVING count(wrote.url) > 10 This is SQL by an expert No need for DISTINCT: automatically from GROUP BY

45. SQL Using the following tables ageratingsnameSid 457Dustin22 331Brutus29 55.58Lubber31 25.58Andy32 3510Rusty58 357Horatio64 1610Zorba71 409Horatio74 25.53Art85 63.53bob95 Sailors

46. Example DaybidSid 10/10/9810122 10/10/9810222 10/8/9810322 10/7/9810422 11/10/9810231 10/6/9810331 10/12/9810431 9/5/9810164 9/8/9810264 9/8/9810374 ColorBanemBid BlueInterlake101 RedInterlake102 GreenClipper103 RedMarine104 Reverses Boats

47. Queries Find the names and ages of all sailors Find all sailors with rating above 7 Find the name of sailors who have reserved boat number 104

48. 48

49. 49 Quiz Write an SQL query for following, and show the result on the example tables: Find all course names that were not taught in 1997 List the professor names along with all the departments ids where a professor has taught Find the names of students who took courses in all the departments that offered a course in Fall of 1995 or 1997.

50. Exercises Product (pname, price, category, manufacturer) Purchase (buyer, seller, store, product) Company (cname, stock price, country) Person(per-name, phone number, city) Ex #1: Find people who bought telephony products. Ex #2: Find names of people who bought American products Ex #3: Find names of people who bought American products and they live in Seattle. Ex #4: Find people who have both bought and sold something. Ex #5: Find people who bought stuff from Joe or bought products from a company whose stock prices is more than $50.

51. Mutating (non-read-only) queries Deletion Deletes whole tuples Insertion Inserts whole tuples Update Changes values of attributes Can generally do these to tables but not to views or other derived entities Note that renaming is not in itself derivation So a renamed relation can be mutated like the original

52. Update update name set assignment where P where clause is optional (selects tuples to be updated) Give Jane Swift a $20 balance update subscribers set balance = 20 where firstname= “ Jane ” and lastname= “ Swift ” Give every subscriber a $3 rebate update subscribers set balance = balance + 3

53. Update examples UPDATEP SETColor = ‘Yellow’ Weight = Weight + 5 City = NULL WHEREP# = 2

54. Deletion delete from name where P Delete all events from transponder 72 delete from events where tid=72 Delete all events relating to George Bush delete from events where tid in select from transponders as t, subscribers as s where t.tid = s.tid and s.firstname= “ George ” and s.lastname= “ Bush ”

55. Delete example DELETE FROM S WHERE S# =1

56. 56 Insertions General form: Missing attribute  NULL. May drop attribute names if give them in order. INSERT INTO R(A1,…., An) VALUES (v1,…., vn) INSERT INTO Purchase(buyer, seller, product, store) VALUES (‘Joe’, ‘Fred’, ‘wakeup-clock-espresso-machine’, ‘The Sharper Image’) INSERT INTO Purchase(buyer, seller, product, store) VALUES (‘Joe’, ‘Fred’, ‘wakeup-clock-espresso-machine’, ‘The Sharper Image’) Example: Insert a new purchase to the database:

57. Insert example INSERT INTOP(P#, City, Weight) VALUES (7, ‘athens’, 24 )

58. Grant & revoke operations the format are GRANT operation ON table TO user REVOKEoperation FROM user

59. Examples GRANTINSERT, DELETE ON TABLE reserves TO ahmed GRANT ALL ON TABLE saliros TO hassan REVOKE SELECT ON TABLE boats FROM manal

60. Grant Example GRANT SELECT ON TABLE S TO u3 WITH GRANT OPTION REVOKE DELETE ON TABLE S FROM U2

61. 61 Starwars Exercises char(name, race, homeworld, affiliation) planets(name, type, affiliation) timetable(cname, pname, movie, arrival, departure) Which planet does Princess Leia go to in movie3? SELECT distinct pname FROM timetable WHERE cname ='Princess Leia' and movie=3;

62. 62 Starwars Exercises char(name, race, homeworld, affiliation) planets(name, type, affiliation) timetable(cname, pname, movie, arrival, departure) How many humans stay on Dagobah in movie 3? SELECT count(*) FROM timetable, characters WHERE movie=3 and pname =‘Dagobah’ and timetable.cname=characters.name and characters.race=‘Human’;

63. 63 Starwars Exercises char(name, race, homeworld, affiliation) planets(name, type, affiliation) timetable(cname, pname, movie, arrival, departure) Who has been to his/her homeworld in movie 2? SELECT distinct c.name FROM characters c, timetable t WHERE c.name=t.cname and t.pname=c.homeworld and movie=2;

64. 64 Starwars Exercises char(name, race, homeworld, affiliation) planets(name, type, affiliation) timetable(cname, pname, movie, arrival, departure) Find distinct names of the planets visited by those of race “ droid ”. SELECT distinct t.pname FROM char c, timetable t WHERE c.name=t.cname and c.race=‘droid’;

65. 65 Starwars Exercises char(name, race, homeworld, affiliation) planets(name, type, affiliation) timetable(cname, pname, movie, arrival, departure) For each character and for each neutral planet, how much time total did the character spend on the planet? SELECT c.name, p.name, SUM(t.departure-t.arrival) as amount FROM characters c, timetable t, planets p WHERE t.cname=c.name and t.pname=p.name and p.affiliation='neutral' GROUP BY c.name, p.name;

66. EXERCISE 1: Queries 1. First and last name of employees who have no supervisor. 2. First and last name of employees supervised by Franklin Wong. 3. Last name of employees who have dependents. 4. Last name of employees who have daughters. 5. Last name of employees in department 5 who work more than 10 hours/week on ProductX. 6. Last name of supervisors of employees in department 5 who work more than 10 hours/week on ProductX. 7. First and last names of all department managers. 8. Salaries of all employees who have worked on the Reorganization project. 9. SSN of all employees who have worked on a project that is controlled by a department different than the department that they are assigned to. 10. Last name of all employees who are not married.

67. EXERCISE 1: Schema

68. EXERCISE 1: Instance

69. EXERCISE 2: Queries 1. List all airplane types that can land at any airport in San Francisco. 2. List the ids and number of seats for all airplanes that can land at any airport in Chicago. 3. List the name and phone number of all customers with a seat reserved on a flight that leaves Chicago O’Hara airport (ORD) on October 31, 2008. 4. List all airlines that have seats available for flights leaving Los Angeles (LAX) on September 25, 2008. 5. List all airlines that operate at San Jose International Airport (SJC).

70. Exercise 2: Schema

71. EXERCISE 3: Queries 1. Count the number of overdue books. 2. How many books by author Harry Crews are in the database? 3. Determine the number of library cards assigned to each borrower phone number. 4. Find names of all borrowers who do not have any book loans. 5. Do any library branches have every book?

72. EXERCISE 3: Schema