Download - CS145 Introduction
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CS145 Introduction
About CS145Relational Model, Schemas,
SQLSemistructured Model, XML
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Content of CS145
Design of databases. E/R model, relational model,
semistructured model, XML, UML, ODL. Database programming.
SQL, XPath, XQuery, Relational algebra, Datalog.
Not DBMS implementation (that’s CS245, 346, 347, sometimes CS345).
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Textbook “Situation”
The closest text for the course is First Course in Database Systems/3rd Edition. But it won’t be available until Friday. First 2 chapters available on-line.
You may prefer Database Systems: Complete Book (also used in CS245) or have FCDB/2nd E. If so, we’ll give you a free copy of the
major additions in FCDB/3rd E.
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Do You Know SQL?
Explain the difference between:SELECT b
FROM R
WHERE a<10 OR a>=10;
andSELECT b
FROM R;
a b5 2010 3020 40… …
R
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And How About These?
SELECT a
FROM R, S
WHERE R.b = S.b;
SELECT a
FROM R
WHERE b IN (SELECT b FROM S);
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Course Requirements
1. Project: a little eBay supported by a database.
Individual. Uses Stanford Oracle system.
2. Homeworks: Gradiance (automated) and “challenge problems” (written).
3. Midterm and final.
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Gradiance Homework System
Automatic, fast-feedback system for taking you through standard homework problems and verifying your knowledge.
Unusual: goal is to get 100% and learn. Homework in CS145 is not a “mini-test.” You try as many times as you like and get
help with each wrong answer.
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Gradiance (GOAL) Access
To get your account, you need:1. “Value-Pak” with any of the class texts,
or purchase on-line.2. Class token: For FCDB/3e use
1B8B815E; for other books use A5DDE704.
Details in the intro.html file. Advice on using Gradiance:
www.gradiance.com/info.html
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Interesting Stuff About Databases
It used to be about boring stuff: employee records, bank records, etc.
Today, the field covers all the largest sources of data, with many new ideas. Web search. Data mining. Scientific and medical databases. Integrating information.
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More Interesting Stuff
Database programming centers around limited programming languages. Only area where non-Turing-complete
languages make sense. Leads to very succinct programming,
but also to unique query-optimization problems (CS346).
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Still More …
You may not notice it, but databases are behind almost everything you do on the Web. Google searches. Queries at Amazon, eBay, etc.
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And More…
Databases often have unique concurrency-control problems (CS245, CS347). Many activities (transactions) at the
database at all times. Must not confuse actions, e.g., two
withdrawals from the same account must each debit the account.
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What is a Data Model?
1. Mathematical representation of data.
Examples: relational model = tables; semistructured model = trees/graphs.
2. Operations on data.3. Constraints.
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A Relation is a Table
name manfWinterbrew Pete’sBud Lite Anheuser-
Busch
Beers
Attributes(columnheaders)
Tuples(rows)
Relation name
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Schemas
Relation schema = relation name and attribute list. Optionally: types of attributes. Example: Beers(name, manf) or
Beers(name: string, manf: string) Database = collection of relations. Database schema = set of all
relation schemas in the database.
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Why Relations?
Very simple model. Often matches how we think
about data. Abstract model that underlies SQL,
the most important database language today.
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Our Running Example
Beers(name, manf)
Bars(name, addr, license)Drinkers(name, addr, phone)Likes(drinker, beer)Sells(bar, beer, price)Frequents(drinker, bar)
Underline = key (tuples cannot have the same value in all key attributes). Excellent example of a constraint.
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Database Schemas in SQL
SQL is primarily a query language, for getting information from a database.
But SQL also includes a data-definition component for describing database schemas.
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Creating (Declaring) a Relation
Simplest form is:CREATE TABLE <name> (
<list of elements>);
To delete a relation:DROP TABLE <name>;
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Elements of Table Declarations
Most basic element: an attribute and its type.
The most common types are: INT or INTEGER (synonyms). REAL or FLOAT (synonyms). CHAR(n ) = fixed-length string of n
characters. VARCHAR(n ) = variable-length string
of up to n characters.
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Example: Create Table
CREATE TABLE Sells (
bar CHAR(20),
beer VARCHAR(20),
price REAL
);
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SQL Values
Integers and reals are represented as you would expect.
Strings are too, except they require single quotes. Two single quotes = real quote, e.g., ’Joe’’s Bar’.
Any value can be NULL.
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Dates and Times
DATE and TIME are types in SQL. The form of a date value is:
DATE ’yyyy-mm-dd’ Example: DATE ’2007-09-30’ for
Sept. 30, 2007.
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Times as Values
The form of a time value is:TIME ’hh:mm:ss’
with an optional decimal point and fractions of a second following. Example: TIME ’15:30:02.5’ = two
and a half seconds after 3:30PM.
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Declaring Keys
An attribute or list of attributes may be declared PRIMARY KEY or UNIQUE.
Either says that no two tuples of the relation may agree in all the attribute(s) on the list.
There are a few distinctions to be mentioned later.
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Declaring Single-Attribute Keys
Place PRIMARY KEY or UNIQUE after the type in the declaration of the attribute.
Example:CREATE TABLE Beers (
name CHAR(20) UNIQUE,
manf CHAR(20)
);
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Declaring Multiattribute Keys
A key declaration can also be another element in the list of elements of a CREATE TABLE statement.
This form is essential if the key consists of more than one attribute. May be used even for one-attribute
keys.
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Example: Multiattribute Key
The bar and beer together are the key for Sells:
CREATE TABLE Sells (
bar CHAR(20),
beer VARCHAR(20),
price REAL,
PRIMARY KEY (bar, beer)
);
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PRIMARY KEY vs. UNIQUE
1. There can be only one PRIMARY KEY for a relation, but several UNIQUE attributes.
2. No attribute of a PRIMARY KEY can ever be NULL in any tuple. But attributes declared UNIQUE may have NULL’s, and there may be several tuples with NULL.
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Semistructured Data
Another data model, based on trees.
Motivation: flexible representation of data.
Motivation: sharing of documents among systems and databases.
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Graphs of Semistructured Data
Nodes = objects. Labels on arcs (like attribute names). Atomic values at leaf nodes (nodes
with no arcs out). Flexibility: no restriction on:
Labels out of a node. Number of successors with a given label.
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Example: Data Graph
Bud
A.B.
Gold1995
MapleJoe’s
M’lob
beer beerbar
manfmanf
servedAt
name
namename
addr
prize
year award
root
The bar objectfor Joe’s Bar
The beer objectfor Bud
Notice anew kindof data.
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XML
XML = Extensible Markup Language. While HTML uses tags for formatting
(e.g., “italic”), XML uses tags for semantics (e.g., “this is an address”).
Key idea: create tag sets for a domain (e.g., genomics), and translate all data into properly tagged XML documents.
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XML Documents
Start the document with a declaration, surrounded by <?xml … ?> .
Typical:<?xml version = “1.0” encoding = “utf-8” ?>
Balance of document is a root tag surrounding nested tags.
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Tags
Tags, as in HTML, are normally matched pairs, as <FOO> … </FOO>. Optional single tag <FOO/>.
Tags may be nested arbitrarily. XML tags are case sensitive.
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Example: an XML Document
<?xml version = “1.0” encoding = “utf-8” ?><BARS>
<BAR><NAME>Joe’s Bar</NAME><BEER><NAME>Bud</NAME>
<PRICE>2.50</PRICE></BEER><BEER><NAME>Miller</NAME>
<PRICE>3.00</PRICE></BEER></BAR><BAR> …
</BARS>
A NAMEsubobject
A BEERsubobject
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Attributes
Like HTML, the opening tag in XML can have atttribute = value pairs.
Attributes also allow linking among elements (discussed later).
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Bars, Using Attributes
<?xml version = “1.0” encoding = “utf-8” ?><BARS>
<BAR name = “Joe’s Bar”><BEER name = “Bud” price = 2.50 /><BEER name = “Miller” price =
3.00 /></BAR><BAR> …
</BARS>
Notice Beer elementshave only opening tagswith attributes.
name andprice areattributes
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DTD’s (Document Type Definitions)
A grammatical notation for describing allowed use of tags.
Definition form:<!DOCTYPE <root tag> [<!ELEMENT <name>(<components>)>
. . . more elements . . .]>
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Example: DTD
<!DOCTYPE BARS [<!ELEMENT BARS (BAR*)><!ELEMENT BAR (NAME, BEER+)><!ELEMENT NAME (#PCDATA)><!ELEMENT BEER (NAME, PRICE)><!ELEMENT PRICE (#PCDATA)>
]>
A BARS object haszero or more BAR’snested within.
A BAR has oneNAME and oneor more BEERsubobjects.
A BEER has aNAME and aPRICE.
NAME and PRICEare HTML text.
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Attributes
Opening tags in XML can have attributes.
In a DTD,<!ATTLIST E . . . >
declares an attribute for element E, along with its datatype.
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Example: Attributes
<!ELEMENT BEER EMPTY>
<!ATTLIST name CDATA #REQUIRED,
manf CDATA #IMPLIED>
No closingtag orsubelements
Characterstring
Required = “must occur”;Implied = “optional
Example use:<BEER name=“Bud” />