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MonetDB/XQuery Technology Preview 1

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Title: MonetDB/XQuery Technology Preview 1


1
MonetDB/XQuery Technology Preview 1
  • Stefan Manegold
  • CWI
  • Amsterdam
  • http//monetdb.cwi.nl/ - http//pathfinder-xquer
    y.org/

2
European Pathfinder Team
  • University of Konstanz (Germany)
  • Torsten Grust, Jens Teubner, Jan Rittinger
  • University of Twente (Netherlands)
  • Maurice van Keulen, Jan Flokstra
  • CWI, Amsterdam (Netherlands)
  • Peter Boncz, Stefan Manegold, Sjoerd Mullender

3
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4

Results Performance (1)
5
Results Performance (2)
6
Story
  • XQuery Example
  • Relational XQuery
  • System Architecture
  • XML Encoding
  • Science Reseach
  • Scalability
  • Outlook
  • Conclusions
  • Roadmaps
  • Release References

7
XQuery Example
  • For each author, return number of books and
    receipts
  • for books published in the past 2 years, ordered
    by name
  • let cat fndoc(www.bn.com/catalog.xml),
    (Documents)
  • sales fndoc(www.publishersweekly.com/
    sales.xml)
  • for author in distinct-values(cat//author)
    (Grouping)
  • let books cat//book_at_year gt 2003 and
    author a, (Sel.)
  • receipts sales/book_at_isbn
    books/_at_isbn/receipts (Join)
  • order by author
    (Ordering)
  • return
  • ltsalesgt
    (XML Construction)
  • author
  • ltcountgt fncount(books) lt/countgt
    (Aggregation)
  • lttotalgt fnsum(receipts) lt/totalgt
  • lt/salesgt

8
XQuery Example
  • For each author, return number of books and
    receipts
  • for books published in the past 2 years, ordered
    by name
  • let cat fndoc(www.bn.com/catalog.xml),
    ?Documents?
  • sales fndoc(www.publishersweekly.com/
    sales.xml)
  • for author in distinct-values(cat//author)
    ?Grouping?
  • let books cat//book_at_year gt 2003 and
    author a, ?Sel.?
  • receipts sales/book_at_isbn
    books/_at_isbn/receipts ?Join?
  • order by author
    ?Ordering?
  • return
  • ltsalesgt ?XML
    Construction?
  • author
  • ltcountgt fncount(books) lt/countgt
    ?Aggregation?
  • lttotalgt fnsum(receipts) lt/totalgt
  • lt/salesgt

9
XQuery Systems 2 Approaches
  • Existing native XML/XQuery systems are built
    from scratch
  • Galax, Saxon,
  • X-Hive, Tamino,
  • (Still have to) re-invent optimization technology
  • Our approach
  • Build XQuery system on top of an RDBMS
  • Leverage mature relational technology
  • to achieve efficient XQuery processing

10
Architecture
11
XML in an RDBMS XPath Accelerator
12
Science Research
  • More research lead to more optimization
  • Join Recognition
  • Embedded XPath processing
  • Order Awareness
  • Various scientific publications

13
Results Scalability (3)
14
Conclusions
  • Relational approach
  • Works
  • Is fast
  • Is scalable
  • Crucial Optimizations
  • Join recognition
  • Embedded XPath processing
  • Order awareness

15
Roadmap
  • 30-05-05 MonetDB/XQuery 4.8/0.8 Mercurius
  • Developers Release / Technology Preview 1
  • 30-09-05 MonetDB/XQuery 4.10/0.10 Venus
  • Student Release / Technology Preview 2
  • XUpdate, Algebraic Query Optimization
  • 30-12-05 MonetDB/XQuery 4.12/1.12 Mars
  • Final Release
  • Application Programming Interfaces
  • End-User Front-Ends

16
Open Source Release
  • MonetDB Pathfinder on SourceForge
  • Mozilla-like License
  • MonetDB homepage
  • http//monetdb.cwi.nl/
  • Pathfinder homepage
  • http//pathfinder-xquery.org/
  • Developers website
  • http//sf.net/projects/monetdb/

17
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23
Outline
  • Basic XML / XQuery
  • Introduction of Pathfinder and MonetDB projects
  • Relational XQuery
  • XPath steps in the pre/post plane
  • Translating for-loops, and beyond
  • Optimizations
  • Order prevention
  • Loop-Lifted Staircase join
  • Join recognition
  • Outlook
  • Conclusions
  • Roadmaps

24
Outline
  • Basic XML / XQuery
  • Introduction of Pathfinder and MonetDB projects
  • Relational XQuery
  • XPath steps in the pre/post plane
  • Translating for-loops, and beyond
  • Optimizations
  • Order prevention
  • Loop-Lifted Staircase join
  • Join recognition
  • Outlook
  • Conclusions
  • Roadmaps

25
XML
  • Standard, flexible syntax for data exchange
  • Regular, structured data
  • Database content of all kinds Inventory,
    billing, orders,
  • Small typed values
  • Irregular, unstructured text
  • Documents of all kinds Transcripts, books, legal
    briefs,
  • Large untyped values
  • Lingua franca of B2B Applications
  • Increase access to products services
  • Integrate disparate data sources
  • Automate business processes
  • and numerous other application domains
  • Bio-informatics, library science,

26
XML A First Look
  • XML document describing catalog of books
  • lt?xml version"1.0" encoding"ISO-8859-1" ?gt
  • ltcataloggt
  • ltbook isbn"ISBN 1565114302"gt
  • lttitlegtNo Such Thing as a Bad Daylt/titlegt
  • ltauthorgtHamilton Jordanlt/authorgt
  • ltpublishergtLongstreet Press, Inc.lt/publishergt
  • ltprice currency"USD"gt17.60lt/pricegt
  • ltreviewgt
  • ltreviewergtPublisherlt/reviewergt This book is
    the moving account of one man's successful
    battles against three cancers ... lttitlegtNo Such
    Thing as a Bad Daylt/titlegt is warmly recommended.
  • lt/reviewgt
  • lt/bookgt
  • lt!-- more books and specifications --gt
  • lt/cataloggt

27
XQuery 1.0
  • Functional, strongly-typed query language
  • XQuery 1.0
  • XPath 2.0 for navigation, selection,
    extraction
  • A few more expressions
  • For-Let-Where-Order By-Return (FLWOR)
  • XML construction
  • Operators on types
  • User-defined functions modules
  • Strong typing

28
XSLT vs. XQuery
  • XSLT 1.0 XML ? XML, HTML, Text
  • Loosely-typed scripting language
  • Format XML in HTML for display in browser
  • Must be highly tolerant of variability/errors in
    data
  • XQuery 1.0 XML ? XML
  • Strongly-typed query language
  • Large-scale database access
  • Must guarantee safety/correctness of operations
    on data
  • Over time, XSLT XQuery may both serve needs of
    many application domains
  • XQuery will become a hidden, commodity language

29
XQuery Example
  • For each author, return number of books and
    receipts books published in past 2 years, ordered
    by name
  • let cat fndoc(www.bn.com/catalog.xml),
    Join
  • sales fndoc(www.publishersweekly.com/sal
    es.xml)
  • for author in distinct-values(cat//author)
    Grouping
  • let books cat//book_at_year gt 2000 and
    author a, S.J.
  • receipts sales/book_at_isbn
    books/_at_isbn/receipts
  • order by author
    Ordering
  • return
  • ltsalesgt XML
    Construction
  • author
  • ltcountgt fncount(books) lt/countgt
    Aggregation
  • lttotalgt fnsum(receipts) lt/totalgt
  • lt/salesgt

30
Outline
  • Basic XML / XQuery
  • Introduction of Pathfinder and MonetDB projects
  • Relational XQuery
  • XPath steps in the pre/post plane
  • Translating for-loops, and beyond
  • Optimizations
  • Order prevention
  • Loop-Lifted Staircase join
  • Join recognition
  • Outlook
  • Conclusions
  • Roadmaps

31
XQuery Systems 2 Approaches
  • Tree-based
  • Tree is basic data structure
  • Also on disk (if an XQuery DBMS)
  • Navigational Approach
  • Galax Simeon.., Flux Koch.., X-Hive
  • Tree Algebra Approach
  • TIMBER Jagadish..
  • Relational
  • Data shredded in relational tables
  • XQuery translated into database query (e.g. SQL)

32
The Pathfinder Project
  • Challenge / Goal
  • Turn RDBMSs into efficient XQuery engines
  • People
  • Torsten Grust, Jens Teubner
  • University of Konstanz (June 2005 Technical
    University of Munich)
  • Maurice van Keulen
  • University of Twente
  • Jan Rittinger
  • University of Konstanz CWI
  • Task generate code for MonetDB

33
The Pathfinder Project
  • Challenge / Goal
  • Turn RDBMSs into efficient XQuery engines
  • People
  • Torsten Grust, Jens Teubner, ...
  • University of Konstanz (June 2005 Technical
    University of Munich)
  • Maurice van Keulen, Jan Flokstra, ...
  • University of Twente
  • Jan Rittinger
  • University of Konstanz CWI
  • Task generate code for MonetDB
  • Peter Boncz, Stefan Manegold, Sjoerd Mullender,
    ...
  • CWI, Amsterdam

34
  • a decade of query-intensive application
    experience
  • image retrieval Peter Bosch ?
    ImageSpotter
  • audio/video retrieval Alex van Ballegooij ?RAM
  • XML text retrieval de Vries / Hiemstra
    ?TIJAH
  • biological sequences Arno Siebes ? BRICKS
  • XML databases Albrecht Schmidt ? XMark
  • Grust /
    vKeulen ? Pathfinder
  • GIS Wilco Quak ?
    MAGNUM
  • data warehousing / OLAP / data mining
  • SPSS ?
    DataDistilleries
  • Univ.
    Massachussetts ? PROXIMITY
  • CWI research group successfully spun off
    DataDistilleries (now SPSS)

35
Pathfinder MonetDB
36
Pathfinder MonetDB
37
Open Source
  • MonetDB Pathfinder on Sourceforge
  • Mozilla License
  • MonetDB Homepage
  • http//monetdb.cwi.nl/
  • Pathfinder Homepage
  • http//pathfinder-xquery.org/
  • Developers website
  • http//sf.net/projects/monetdb/
  • RoadMap
  • 14-apr-04 initial Beta release MonetDB/SQL
  • 30-sep-04 first official release MonetDB/SQL
  • 30-may-05 Developer release of MonetDB/XQuery
    (i.e. Pathfinder)
  • 30-sep-05 Student release of MonetDB/XQuery
    (incl. XUpdate)
  • 30-dec-05 Users release of MonetDB/XQuery (?)

38
  • Front-end/back-end
  • support multiple data models
  • support multiple end-user languages
  • support diverse application domains

39
  • Front-end/back-end
  • support multiple data models
  • support multiple end-user languages
  • support diverse application domains

40
Architecture
41
The Architecture
42
Outline
  • Basic XML / XQuery
  • Introduction of Pathfinder and MonetDB projects
  • Relational XQuery
  • XPath steps in the pre/post plane
  • Translating for-loops, and beyond
  • Optimizations
  • Order prevention
  • Loop-Lifted Staircase join
  • Join recognition
  • Outlook
  • Conclusions
  • Roadmaps

43
XPath on an RDBMS
44
Pre/Post ? Pre/Level/Size
45
Outline
  • Basic XML / XQuery
  • Introduction of Pathfinder and MonetDB projects
  • Relational XQuery
  • XPath steps in the pre/post plane
  • Translating for-loops, and beyond
  • Optimizations
  • Order prevention
  • Loop-Lifted Staircase join
  • Join recognition
  • Outlook
  • Conclusions
  • Roadmaps

46
Order Prevention
47
Join Recognition
48
Loop-lifted staircase join
49
Scalability
50
Scalability
51
Scalability
52

53
XMark 1GB Pathfinder vs X-Hive
54
Outline
  • Basic XML / XQuery
  • Introduction of Pathfinder and MonetDB projects
  • Relational XQuery
  • XPath steps in the pre/post plane
  • Translating for-loops, and beyond
  • Optimizations
  • Order prevention
  • Loop-Lifted Staircase join
  • Join recognition
  • Outlook
  • Conclusions
  • Roadmaps

55
Conclusions
  • Relational approach can be scalable fast
  • Crucial Optimizations
  • Join recognition
  • Loop-lifted XPath steps
  • Order awareness

56
Conclusions
  • Relational approach can be scalable fast
  • Crucial Optimizations
  • Join recognition
  • Loop-lifted XPath steps
  • Order awareness
  • Future Roadmap (Scientific/Research)
  • Algebraic Query Optimization
  • Updates

57
Product Roadmap
  • 30-05-05 MonetDB/XQuery 4.8/0.8 Mercurius
  • Developers Release / Technology Preview 1
  • 30-09-05 MonetDB/XQuery 4.10/0.10 Venus
  • Student Release / Technology Preview 2
  • XUpdate, Algebraic Query Optimization
  • 30-12-05 MonetDB/XQuery 4.12/1.12 Mars
  • Final Release
  • Application Programming Interfaces
  • End-User Front-Ends

58
Loop-lifted staircase join
59
Staircase join
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