views: alternate data representations zachary g. ives university of pennsylvania cis 550 –...

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Views: Alternate Data Representations Zachary G. Ives University of Pennsylvania CIS 550 – Database & Information Systems November 2, 2004 slide content courtesy of Susan Davidson, Dan Suciu, & Raghu Ramakrishnan

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Views: Alternate Data Representations

Zachary G. IvesUniversity of Pennsylvania

CIS 550 – Database & Information Systems

November 2, 2004

Some slide content courtesy of Susan Davidson, Dan Suciu, & Raghu Ramakrishnan

2

Administrivia

One- to two-page project plan document due Thursday

Today: your first paper for reviewing See the handout on writing a paper review Please post the (short) review to the

newsgroup, before class next Tuesday

3

Where We Left Off…

Wrapping up a discussion of XQuery Very flexible and powerful language for XML Clean and orthogonal: can always replace a

collection with an expression that creates collections

DB and document-oriented (we hope) The core is relatively clean and easy to

understand

One feature worth noting, which had no correspondence in the SQL world…

4

Querying & Defining Metadata – Can’t Do This in SQL

Can get a node’s name by querying node-name():for $x in document(“dblp.xml”)/dblp/*return node-name($x)

Can construct elements and attributes using computed names:

for $x in document(“dblp.xml”)/dblp/*,$year in $x/year,$title in $x/title/text(),

element node-name($x) {attribute {“year-” + $year} { $title }

}

5

A Problem

We frequently want to reference data in a way that differs from the way it’s stored XML data HTML, text, etc. Relational data XML data Relational data Different relational representation XML data Different XML representation

Generally, these can all be thought of as different views over the data A view is a named query Let’s start with a special presentation language for XML

HTML

6

XSL(T): XML “Other Stuff”

XSL (XML Stylesheet Language) is actually divided into two parts: XSL:FO: formatting for XML XSLT: a special transformation language

We’ll leave XSL:FO for you to read off www.w3.org, if you’re interested

XSLT is actually able to convert from XML HTML, which is how many people do their formatting today Products like Apache Cocoon generally translate XML

HTML on the server side Your browser will do XML HTML on the client side

7

A Different Style of Language

XSLT is based on a series of templates that match different parts of an XML document There’s a policy for what rule or template is applied if

more than one matches (it’s not what you’d think!) XSLT templates can invoke other templates XSLT templates can be nonterminating (beware!)

XSLT templates are based on XPath “match”es, and we can also apply other templates (potentially to “select”ed XPaths) Within each template, we describe what should be

output (Matches to text default to outputting it)

8

An XSLT Stylesheet

<xsl:stylesheet version=“1.1”> <xsl:template match=“/dblp”> <html><head>This is DBLP</head> <body> <xsl:apply-templates /> </body> </html> </xsl:template> <xsl:template match=“inproceedings”>

<h2><xsl:apply-templates select=“title” /></h2> <p><xsl:apply-templates select=“author”/></p> </xsl:template> …</xsl:stylesheet>

9

Results of XSLT Stylesheet

<dblp> <inproceedings> <title>Paper1</title> <author>Smith</author> </inproceedings> <inproceedings>

<author>Chakrabarti</author>

<author>Gray</author> <title>Paper2</title> </inproceedings></dblp>

<html><head>This Is DBLP</head>

<body> <h2>Paper1</h2> <p>Smith</p> <h2>Paper2</h2> <p>Chakrabarti</p> <p>Gray</p></body></html>

10

What XSLT Can and Can’t Do

XSLT is great at converting XML to other formats XML diagrams in SVG; HTML; LaTeX …

XSLT doesn’t do joins (well), it only works on one XML file at a time, and it’s limited in certain respects It’s not a query language, really … But it’s a very good formatting language

Most web browsers (post Netscape 4.7x) support XSLT and XSL formatting objects

But most real implementations use XSLT with something like Apache Cocoon – compatible with more browsers

You should use XSL/XSLT to format the forms and pages for your projects – see www.w3.org/TR/xslt or the chapter we handed out for more details

11

Other Forms of Views

XSLT is a language primarily designed from going from XML non-XML

Obviously, we can do XML XML in XQuery… Or relations relations

… What about relations XML and XML relations?

Let’s start with XML XML, relations relations

12

Views in SQL and XQuery A view is a named query We use the name of the view to invoke the query

(treating it as if it were the relation it returns)

SQL:CREATE VIEW V(A,B,C) AS

SELECT A,B,C FROM R WHERE R.A = “123”

XQuery:declare function V() as element(content)* {

for $r in doc(“R”)/root/tree, $a in $r/a, $b in $r/b, $c in $r/cwhere $a = “123”return <content>{$a, $b, $c}</content>

}

SELECT * FROM V, RWHERE V.B = 5 AND V.C = R.C

for $v in V()/content, $r in doc(“r”)/root/treewhere $v/b = $r/breturn $v

Using the views:

13

What’s Useful about Views

Providing security/access control We can assign users permissions on different views Can select or project so we only reveal what we want!

Can be used as relations in other queries Allows the user to query things that make more sense

Describe transformations from one schema (the base relations) to another (the output of the view) The basis of converting from XML to relations or vice

versa This will be incredibly useful in data integration,

discussed soon…

Allow us to define recursive queries

14

Materialized vs. Virtual Views

A virtual view is a named query that is actually re-computed every time – it is merged with the referencing query

CREATE VIEW V(A,B,C) AS

SELECT A,B,C FROM R WHERE R.A = “123”

A materialized view is one that is computed once and its results are stored as a table Think of this as a cached answer These are incredibly useful! Techniques exist for using materialized views to answer other

queries Materialized views are the basis of relating tables in different

schemas

SELECT * FROM V, RWHERE V.B = 5 AND V.C = R.C

15

Views Should Stay Fresh

Views (sometimes called intensional relations) behave, from the perspective of a query language, exactly like base relations (extensional relations)

But there’s an association that should be maintained: If tuples change in the base relation, they should

change in the view (whether it’s materialized or not)

If tuples change in the view, that should reflect in the base relation(s)

16

View Maintenance and the View Update Problem

There exist algorithms to incrementally recompute a materialized view when the base relations change

We can try to propagate view changes to the base relations However, there are lots of views that aren’t easily

updatable:

We can ensure views are updatable by enforcing certain constraints (e.g., no aggregation),but this limits the kinds of views we can have

A B

1 2

2 2

B C

2 4

2 3

R S A B C

1 2 4

1 2 3

2 2 4

2 2 3

R⋈S

delete?

17

Views as a Bridge between Data Models

A claim we’ve made several times:“XML can’t represent anything that can’t be

expressed in in the relational model”

If this is true, then we must be able to represent XML in relationsStore a relational view of XML

(or create an XML view of relations)

18

A View as a Translation betweenXML and Relations

You’ll be reviewing the most-cited paper in this area (Shanmugasundaram et al), and there are many more (Fernandez et al., …)

Techniques already making it into commercial systems XPERANTO at IBM Research will appear in DB2

v8 or 9 SQL Server has some XML support; Oracle is

also doing some XML … Now you’ll know how it works!

19

Issues in Mapping Relational XML

We know the following: XML is a tree XML is SEMI-structured

There’s some structured “stuff” There is some unstructured “stuff”

Issues relate to describing XML structure, particularly parent/child in a relational encoding Relations are flat Tuples can be “connected” via

foreign-key/primary-key links

20

The Simplest Way to Encode a Tree

You saw this one in your midterm:

<tree id=“0”> <content id=“1”> <sub-content>XYZ </sub-content> <i-content>14 </i-content> </content></tree>

If we have no IDs, we CREATE values…

BinaryLikeEdge(key, label, type, value, parent)

key

label type

value

parent

0 tree ref - -

1 content ref - 0

2 sub-content

ref - 1

3 i-content ref - 1

4 - str XYZ 2

5 - int 14 3What are shortcomings here?

21

Florescu/Kossmann Improved Edge Approach

Consider order, typing; separate the values Edge(parent, ordinal,

label, flag, target)

Vint(vid, value)

Vstring(vid, value)

parent

ord

label flag

target

- 1 tree ref 0

0 1 content ref 1

1 1 sub-content

str v2

1 1 i-content int v3

vid

value

v3 14

vid

value

v2 XYZ

22

How Do You Compute the XML?

Assume we know the structure of the XML tree (we’ll see how to avoid this later)

We can compute an “XML-like” SQL relation using “outer unions” – we first this technique in XPERANTO Idea: if we take two non-union-compatible

expressions, pad each with NULLs, we can UNION them together

Let’s see how this works…

23

A Relation that Mirrors theXML Hierarchy

Output relation would look like:

rLabel

rid

rOrd

clabel

cid

cOrd

sLabel sid

sOrd

str int

tree 0 1 - - - - - - - -

- 0 1 content

1 1 - - - - -

- 0 1 - 1 1 sub-content

2 1 - -

- 0 1 - 1 1 - 2 1 XYZ

-

- 0 1 - 1 2 i-content 3 1 - -

- 0 1 - 1 2 - 3 1 - 14

24

A Relation that Mirrors theXML Hierarchy

Output relation would look like:

rLabel

rid

rOrd

clabel

cid

cOrd

sLabel sid

sOrd

str int

tree 0 1 - - - - - - - -

- 0 1 content

1 1 - - - - -

- 0 1 - 1 1 sub-content

2 1 - -

- 0 1 - 1 1 - 2 1 XYZ

-

- 0 1 - 1 2 i-content 3 1 - -

- 0 1 - 1 2 - 3 1 - 14

25

A Relation that Mirrors theXML Hierarchy

Output relation would look like:

rLabel

rid

rOrd

clabel

cid

cOrd

sLabel sid

sOrd

str int

tree 0 1 - - - - - - - -

- 0 1 content

1 1 - - - - -

- 0 1 - 1 1 sub-content

2 1 - -

- 0 1 - 1 1 - 2 1 XYZ

-

- 0 1 - 1 2 i-content 3 1 - -

- 0 1 - 1 2 - 3 1 - 14

Colors are representative of separate SQL queries…

26

SQL for Outputting XML

For each sub-portion we preserve the keys (target, ord) of the ancestors

Root:select E.label AS rLabel, E.target AS rid, E.ord AS rOrd, null AS cLabel, null AS cid, null AS cOrd, null AS subOrd, null AS sid, null AS str, null AS intfrom Edge Ewhere parent IS NULL

First-level children:select null AS rLabel, E.target AS rid, E.ord AS rOrd, E1.label AS cLabel, E1.target AS cid, E1.ord AS cOrd, null AS …from Edge E, Edge E1where E.parent IS NULL AND E.target = E1.parent

27

The Rest of the Queries

Grandchild:select null as rLabel, E.target AS rid, E.ord AS rOrd, null AS cLabel, E1.target AS cid, E1.ord AS cOrd, E2.label as sLabel, E2.target as sid, E2.ord AS sOrd, null as …from Edge E, Edge E1, Edge E2where E.parent IS NULL AND E.target = E1.parent AND E1.target = E2.parent

Strings:select null as rLabel, E.target AS rid, E.ord AS rOrd, null AS cLabel, E1.target AS cid, E1.ord AS cOrd, null as sLabel, E2.target as sid, E2.ord AS sOrd, Vi.val AS str, null as intfrom Edge E, Edge E1, Edge E2, Vint Vi where E.parent IS NULL AND E.target = E1.parent AND E1.target = E2.parent AND Vi.vid = E2.target

How would we do integers?

28

Finally…

Union them all together:( select E.label as rLabel, E.target AS rid, E.ord AS rOrd, … from Edge E where parent IS NULL)UNION ( select null as rLabel, E.target AS rid, E.ord AS rOrd, E1.label AS cLabel, E1.target AS cid, E1.ord AS cOrd, null as … from Edge E, Edge E1 where E.parent IS NULL AND E.target = E1.parent) UNION ( . :) UNION ( . :)

Then another module will add the XML tags, and we’re done!

29

“Inlining” Techniques

Folks at Wisconsin noted we can exploit the “structured” aspects of semi-structured XML If we’re given a DTD, often the DTD has a lot of

required (and often singleton) child elements Book(title, author*, publisher)

Recall how normalization worked: Decompose until we have everything in a relation

determined by the keys … But don’t decompose any further than that

Shanmugasundaram et al. try not to decompose XML beyond the point of singleton children

30

Inlining Techniques

Start with DTD, build a graph representing structure

tree

content

sub-content i-content

*

* *

• The edges are annotated with ?, * indicating repetition,optionality of children

• They simplify the DTD to figure this out

@id

@id

?

31

Building Schemas

Now, they tried several alternatives that differ in how they handle elements w/multiple ancestors Can create a separate relation for each path Can create a single relation for each element Can try to inline these

For tree examples, these are basically the same Combine non-set-valued things with parent Add separate relation for set-valued child elements Create new keys as needed

name

book author

32

Schemas for Our Example

TheRoot(rootID) Content(parentID, id, @id) Sub-content(parentID, varchar) I-content(parentID, int)

If we suddenly changed DTD to <!ELEMENT content(sub-content*, i-content?) what would happen?

33

XQuery to SQL

Inlining method needs external knowledge about the schema Needs to supply the tags and info not stored in

the tables

We can actually directly translate simple XQuery into SQL over the relations – not simply reconstruct the XML

34

An Example

for $X in document(“mydoc”)/tree/contentwhere $X/sub-content = “XYZ”return $X

The steps of the path expression are generally joins … Except that some steps are eliminated by the fact

we’ve inlined subelements Let’s try it over the schema:

TheRoot(rootID)Content(parentID, id, @id)Sub-content(parentID, varchar)I-content(parentID, int)

35

Wrapping up…

We’ve seen that views are useful things Allow us to store and refer to the results of a

query We’ve seen an example of a view that changes

from XML to relations – and we’ve even seen how such a view can be posed in XQuery and “unfolded” into SQL

Next time: we’ll start reasoning about views, which involves the introduction of another query language!