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The Structured Query Language Zachary G. Ives University of Pennsylvania CIS 550 – Database & Information Systems September 27, 2005 me slide content courtesy of Susan Davidson & Raghu Ramakrishnan

The Structured Query Language Zachary G. Ives University of Pennsylvania CIS 550 – Database & Information Systems September 27, 2005 Some slide content

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The Structured Query Language

Zachary G. IvesUniversity of Pennsylvania

CIS 550 – Database & Information Systems

September 27, 2005

Some slide content courtesy of Susan Davidson & Raghu Ramakrishnan

2

Administrivia

Homework 2 handed out today Due in 1 week, 10/4

Please sign up for Oracle accounts ASAP http://www.seas.upenn.edu/ora/ You can do the homework without this, but:

Will be useful in testing your HW2’s! You’ll need to get familiar with Oracle anyway

3

Recall Basic SQL

SELECT [DISTINCT] {T1.attrib, …, T2.attrib}FROM {relation} T1, {relation} T2, …WHERE {predicates}

SELECT * All STUDENTs

AS As a “range variable” (tuple variable): optional As an attribute rename operator

select-list

from-list

qualification

4

Expressions in SQL

Can do computation over scalars (int, real or string) in the select-list or the qualification Show all student IDs decremented by 1

Strings: Fixed (CHAR(x)) or variable length (VARCHAR(x)) Use single quotes: ’A string’ Special comparison operator: LIKE Not equal: <>

Typecasting: CAST(S.sid AS VARCHAR(255))

5

Set Operations

Set operations default to set semantics, not bag semantics:(SELECT … FROM … WHERE …){op}(SELECT … FROM … WHERE …)

Where op is one of: UNION INTERSECT, MINUS/EXCEPT

(many DBs don’t support these last ones!)

Bag semantics: ALL

6

Exercise

Find all students who have taken DB but not AI Hint: use EXCEPT

7

Revised Example Data Instance

sid name

1 Jill

2 Qun

3 Nitin

4 Marty

fid name

1 Ives

2 Saul

8 Martin

sid exp-grade

cid

1 A 550-0105

1 A 700-1005

3 A 700-1005

3 C 501-0105

4 C 501-0105

cid subj sem

550-0105 DB F05

700-1005 AI S05

501-0105 Arch F05

555-1006 Sys S06

fid cid

1 550-0105

2 700-1005

8 501-0105

STUDENT Takes COURSE

PROFESSOR Teaches

8

Nested Queries in SQL

Simplest: IN/NOT IN

Example: Students who have taken subjects that have (at any point) been taught by Martin

9

Correlated Subqueries

Most common: EXISTS/NOT EXISTS Find all students who have taken DB but not AI

10

Universal and Existential Quantification

Generally used with subqueries: {op} ANY, {op} ALL Find the students with the best expected

grades

11

Table Expressions

Can substitute a subquery for any relation in the FROM clause:

SELECT S.sidFROM (SELECT sid FROM STUDENT WHERE sid = 5) SWHERE S.sid = 4

Notice that we can actually simplify this query!

What is this equivalent to?

12

Aggregation

GROUP BY

SELECT {group-attribs}, {aggregate-operator}(attrib)FROM {relation} T1, {relation} T2, …WHERE {predicates}GROUP BY {group-list}

Aggregate operators AVG, COUNT, SUM, MAX, MIN DISTINCT keyword for AVG, COUNT, SUM

13

Some Examples

Number of students in each course offering

Number of different grades expected for each course offering

Number of (distinct) students taking AI courses

14

Data Instance, Again

sid name

1 Jill

2 Qun

3 Nitin

4 Marty

fid name

1 Ives

2 Saul

8 Martin

sid exp-grade

cid

1 A 550-0105

1 A 700-1005

3 A 700-1005

3 C 501-0105

4 C 501-0105

cid subj sem

550-0105 DB F05

700-1005 AI S05

501-0105 Arch F05

555-1006 Sys S06

fid cid

1 550-0105

2 700-1005

8 501-0105

STUDENT Takes COURSE

PROFESSOR Teaches

15

What If You Want to Only ShowSome Groups?

The HAVING clause lets you do a selection based on an aggregate (there must be 1 value per group):

SELECT C.subj, COUNT(S.sid)FROM STUDENT S, Takes T, COURSE CWHERE S.sid = T.sid AND T.cid = C.cidGROUP BY subjHAVING COUNT(S.sid) > 5

Exercise: For each subject taught by at least two professors, list the minimum expected grade

16

Aggregation and Table Expressions(aka Derived Relations)

Sometimes need to compute results over the results of a previous aggregation:

SELECT subj, AVG(size)FROM (

SELECT C.cid AS id, C.subj AS subj, COUNT(S.sid) AS sizeFROM STUDENT S, Takes T, COURSE CWHERE S.sid = T.sid AND T.cid =

C.cidGROUP BY cid, subj)

GROUP BY subj

17

Thought Exercise…

Tables are great, but… Not everyone is uniform – I may have a cell

phone but not a fax We may simply be missing certain information We may be unsure about values

How do we handle these things?

18

One Answer: Null Values

We designate a special “null” value to represent “unknown” or “N/A”

But a question: what does:

do?

Name

Home Fax

Sam 123-4567

NULL

Li 234-8972

234-8766

Maria

789-2312

789-2121SELECT * FROM CONTACT WHERE Fax < “789-1111”

19

Three-State Logic

Need ways to evaluate boolean expressions and have the result be “unknown” (or T/F)

Need ways of composing these three-state expressions using AND, OR, NOT:

Can also test for null-ness: attr IS NULL, attr IS NOT NULL

Finally: need rules for arithmetic, aggregation

T AND U = UF AND U = FU AND U = U

T OR U = TF OR U = UU OR U = U

NOT U = U

20

Nulls and Joins

Sometimes need special variations of joins: I want to see all courses and their students … But what if there’s a course with no

students?

Outer join: Most common is left outer join:

SELECT C.subj, C.cid, T.sid FROM COURSE C LEFT OUTER JOIN Takes T ON C.cid = T.cidWHERE …

21

Data Instance, Again (!)

sid name

1 Jill

2 Qun

3 Nitin

4 Marty

fid name

1 Ives

2 Saul

8 Martin

sid exp-grade

cid

1 A 550-0105

1 A 700-1005

3 A 700-1005

3 C 501-0105

4 C 501-0105

cid subj sem

550-0105 DB F05

700-1005 AI S05

501-0105 Arch F05

555-1006 Sys S06

fid cid

1 550-0105

2 700-1005

8 501-0105

STUDENT Takes COURSE

PROFESSOR Teaches

22

Warning on Outer Join

Oracle doesn’t support standard SQL syntax here:

SELECT C.subj, C.cid, T.sid FROM COURSE C , Takes T WHERE C.cid =(+) T.cid

23

Beyond Null

Can have much more complex ideas of incomplete or approximate information Probabilistic models (tuple 80% likely to be an

answer) Naïve tables (can have variables instead of

NULLs) Conditional tables (tuple IF some condition holds)

… And what if you want “0 or more”? In relational databases, create a new table and

foreign key But can have semistructured data (like XML)

24

Modifying the Database:Inserting Data

Inserting a new literal tuple is easy, if wordy:

INSERT INTO PROFESSOR (fid, name)VALUES (4, ‘Simpson’)

But we can also insert the results of a query!

INSERT INTO PROFESSOR (fid, name) SELECT sid AS fid, name FROM STUDENT WHERE sid < 20

25

Deleting Tuples

Deletion is a fairly simple operation:

DELETEFROM STUDENT SWHERE S.sid < 25

26

Updating Tuples

What kinds of updates might you want to do?

UPDATE STUDENT SSET S.sid = 1 + S.sid, S.name = ‘Janet’WHERE S.name = ‘Jane’

27

Now, How Do I Talk to the DB?

Generally, apps are in a different (“host”) language with embedded SQL statements Static: SQLJ, embedded SQL in C Runtime: ODBC, JDBC, ADO, OLE DB, …

Typically, predefined mappings between host language types and SQL types (e.g., VARCHAR string or char[])

28

Embedded SQL in C

EXEC SQL BEGIN DECLARE SECTION int sid; char name[20];EXEC SQL END DECLARE SECTION…EXEC SQL INSERT INTO STUDENT VALUES (:sid, :name);

EXEC SQL SELECT name, ageINTO :sid, :nameFROM STUDENTWHERE sid < 20

29

The Impedance Mismatch and Cursors

SQL is set-oriented – it returns relations There’s no relation type in most languages! Solution: cursor that’s opened, read

DECLARE sinfo CURSOR FOR SELECT sid, name FROM STUDENT…OPEN sinfo;while (…) { FETCH sinfo INTO :sid, :name …}CLOSE sinfo;

30

JDBC: Dynamic SQL

Roughly speaking, a Java version of ODBC See Chapter 6 of the text for more info

import java.sql.*;Connection conn = DriverManager.getConnection(…);PreparedStatement stmt =

conn.prepareStatement(“SELECT * FROM STUDENT”);…ResultSet rs = stmt.executeQuery ();while (rs.next()) {

sid = rs.getInteger(1);…

}

31

Database-Backed Web Sites We all know traditional static HTML web

sites:Web-Browser

HTTP-Request

GET ...

Web-Server

File-System

Load File

HTML-File

HTML-File

32

Common Gateway Interface (CGI)

Can have the web server invoke code (with parameters) to generate HTML

Web ServerHTTP-Request

HTML-File

Web Server

File-SystemLoad File

FileHTML?

HTML

Execute Program

Program?Output

I/O, Network, DB

33

CGI: Discussion

Advantages: Standardized: works for every web-server, browser Flexible: Any language (C++, Perl, Java, …) can be

used

Disadvantages: Statelessness: query-by-query approach Inefficient: new process forked for every request Security: CGI programmer is responsible for security Updates: To update layout, one has to be a

programmer

34

Java-Server-Process

DB Access in Java

Sybase

Java Applet

TCP/UDP

IP

Oracle ...

JDBC-Driver

JDBC-Driver

JDBC-Driver

JDBC Driver manager

BrowserJVM

35

Java Applets: Discussion

Advantages: Can take advantage of client processing Platform independent – assuming standard java

Disadvantages: Requires JVM on client; self-contained Inefficient: loading can take a long time ... Resource intensive: Client needs to be state of the

art Restrictive: can only connect to server where

applet was loaded from (for security … can be configured)

36

*SP Server Pages and Servlets(IIS, Tomcat, …)

File-SystemWeb Server

HTTP Request

HTML File

Web Server

Load File

FileHTML?

HTML

I/O, Network, DB

Script/Servlet?

Output

Server Extension

May have a built-in VM (JVM, CLR)

37

DB-Driven Web Server

One Step Beyond: DB-Driven Web Sites (Strudel, Cocoon, …)

LocalDatabase

HTTP Request

HTML File

Web Server

Cache

Data

HTML

Other datasources

Script?

DynamicHTML

Generation

Styles

38

Wrapping Up

We’ve seen how to query in SQL (DML) Basic foundation is TRC-based Subqueries and aggregation add extra power beyond

*RC Nulls and outer joins add flexibility of representation We can update tables

We’ve also seen that SQL doesn’t precisely match standard host language semantics Embedded SQL Dynamic SQL

We’ve seen a hint of data-driven web site architectures