MonetDB/XQuery Technology Preview 1 - PowerPoint PPT Presentation

About This Presentation
Title:

MonetDB/XQuery Technology Preview 1

Description:

Title: MonetDB/XQuery Technology Preview 1 Last modified by: manegold Document presentation format: On-screen Show Other titles: Times New Roman Arial Courier New ... – PowerPoint PPT presentation

Number of Views:63
Avg rating:3.0/5.0
Slides: 16
Provided by: homepage96
Category:

less

Transcript and Presenter's Notes

Title: MonetDB/XQuery Technology Preview 1


1
MonetDB/XQuery Technology Preview 1
  • Stefan Manegold
  • Centrum voor Wiskunde en Informatica
  • Amsterdam
  • http//monetdb.cwi.nl/ - http//pathfinder-xquer
    y.org/

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

3

Results Performance (1)
XMark benchmark, 110 MB MonetDB/XQuery vs.
X-Hive Galax
4
Results Performance (2)
XMark benchmark, 1.1 GB MonetDB/XQuery vs.
X-Hive
5
Story
  • XQuery Example
  • Relational XQuery
  • System Architecture
  • XML Encoding
  • Science Reseach
  • Scalability
  • Outlook
  • Conclusions
  • Roadmaps
  • Release References

6
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/s
    ales.xml)
  • for author in distinct-values(cat//author)
    (Grouping)
  • let books cat//book_at_year gt 2003 and
    author author,(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

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/s
    ales.xml)
  • for author in distinct-values(cat//author)
    ?Grouping?
  • let books cat//book_at_year gt 2003 and
    author author,?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 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

9
Architecture
10
XML in an RDBMS XPath Accelerator
xx
ltagt ltbgt ltc/gt lt/bgt ltd/gt
ltegt ltfgt ltg/gt lth/gt
lt/fgt ltigt ltj/gt lt/igt
lt/egt lt/agt
0ltagt 1ltbgt 2ltc/gt lt/bgt 3ltd/gt
4ltegt 5ltfgt 6ltg/gt 7lth/gt
lt/fgt 8ltigt 9ltj/gt lt/igt
lt/egt lt/agt
0ltagt 1ltbgt 2ltc/gt0 lt/bgt1 3ltd/gt2
4ltegt 5ltfgt 6ltg/gt3 7lth/gt4
lt/fgt5 8ltigt 9ltj/gt6
lt/igt7 lt/egt8 lt/agt9
?
?
?
?
  • f/following SELECT FROM pre_post WHERE pre gt
    f.pre AND post gt f.post
  • f/descendant SELECT FROM pre_post WHERE pre
    gt f.pre AND post lt f.post
  • f/preceeding SELECT FROM pre_post WHERE pre
    lt f.pre AND post lt f.post
  • f/ancester SELECT FROM pre_post WHERE pre lt
    f.pre AND post gt f.post
  • Similar queries for all 13 XPath axes

11
Science Research
  • More research lead to more optimization
  • Join Recognition
  • Embedded XPath processing
  • Order Awareness
  • Various scientific publications

12
Results Scalability (3)
  • Unsurpassed scalability
  • Standard Opteron PC, 8GB RAM, 64-bit Linux
  • Can process 11GB documents!
  • Mostly linear scaling with document size

13
Conclusions
  • Relational approach
  • Works
  • Is fast
  • Is scalable
  • Crucial Optimizations
  • Join recognition
  • Embedded XPath processing
  • Order awareness
  • Research turned into open-source release

14
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, More Optimization
  • 30.12.05 MonetDB/XQuery 4.12/1.12 Mars
  • Final Release
  • Application Programming Interfaces
  • End-User Front-Ends

15
Open Source Release References
  • 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/

You are welcome to join the MonetDB/XQuery team!
Write a Comment
User Comments (0)
About PowerShow.com