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Hotsos 2013 - Creating Structure in Unstructured Data


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Presentation used during the Hotsos Symposium in 2013, Irving, Texas.

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Hotsos 2013 - Creating Structure in Unstructured Data

  1. Creating Structure in Unstructured Data What is possible, today…?Marco Gralike
  2. “Big Data” = XML ?
  3. Challenges are!Ahum, the problems are!
  4. WikiPedia• One string of XML data with structured and unstructured data sections• Language: English• Size : 42,15 GB• Pages : 12.961.997• Date : 21 Dec 2012
  5. Adventures intothe unknown…?
  6. Setup• VirtualBox VM – OEL 5U8 (64) – 8 GB RAM• LaCie Little Big Disk – RAID 0 – Thunderbolt• Database – SGA 4GB – PGA 2GB
  7. My new LaCie LBD is really fast - 
  8. Defeat?! - 1.000.000 pages only
  9. Status of Technology used
  10. XML - Where are we…?Gartner
  11. Achieved…?
  12. On the Horizon!• JSoniq• Zorba
  13. Building (streaming) Bridges
  14. Oracle XML DB • NO cost option • C (native / embedded kernel) • (XQuery) Standards • Code maintained by Oracle
  15. XQuery XMLType Abstraction DB XQuery Procedural XQuery XQuery Rewrite Pushdown XVM (use “no query rewrite”) Relational Streaming XPath DOM Tree Evaluation Model Access SQL Execution Methods XMLIndex Object-Relational Binary XML Relational Storage Secure FilesSource: S317428: Building Really Scalable XML Applications with Oracle XML DB and Oracle Text
  16. So about what are we talking ?
  17. WikiPedia• Structured & Unstructured bits and pieces• A lot of “unbounded” elements• Not a lot of restrictions• The bit with value is in element “tekst”
  18. How do we get this Structured?
  19. Strings = small & defined (12c?) Ename  pointer += 100;
  20. <string1/><string2/><string3/>
  21. Flexible, HumansNo Design Patterns
  22. <small/><verybigggr/><bigger/>
  23. <verybigggr> <empno>1</empno><ename>Marco</ename> <empno>2</empno></verybigggr> <small/><verybigggr/><bigger/>
  24. We need options!
  25. “XMLType” Container In Memory CLOB (document) (document)Object Relational Binary XML (data) (data)
  26. XMLType In Memory (document)XOB XML Schema
  27. XMLType Binary XML Securefile (document/content)Post Parse LOB Index
  28. XMLType Object Relational (content)Fully Shredded Indexes
  29. Something else to Realize !
  30. “What is the fastest way to get this stuff in the database…?”
  31. “…it depends…”
  32. “So what is the fastest way to get XML in the database…?”
  33. “…it depends…”
  34. “So what is the fastest way to get XML in the database… … and useful in my case…?”
  35. Garbage IN – Garbage OUT
  36. WikiPedia• SQL*Loader• Parallel or Direct• Securefile LOB Column• 2.5 hoursAnd no (performant) wayto get the details out…a.k.a “completely useless”
  37. WikiPedia• SQL*Loader• Parallel or Direct• Securefile Binary XML• …2.5 hours ???
  38. XML Parsing• SAX - Simple API for XML• DOM - Document Object Module
  39. fastinsert performance CLOB XMLType CLOB (domain) indexes XMLType Binary XML XMLType Object Relational fast select performance
  40. XML Partitioning• Object Relational Partitioning – Equi-Partitioning since version Oracle• Binary XML Partitioning – Range, List, Hash• Local partitioned XMLIndex – LOCAL keyword in XMLIndex create syntax• Partition Key on virtual column (Binary XML)• Partition Key on column (Object Relational)
  41. XMLType Binary XML Securefile (document/content)Post Parse LOB Index
  42. Driving access on CONTENT BTre e Index bookstore Function based Index (XPath) book whitepapertitle author author chapter title author id paragraph Unstructured Structured XMLIndex XMLIndex content structured content BTree Oracle XML Index Text Index
  43. Structured Data
  44. Structured XMLIndex (SXI)• CONTENT TABLE(s)• Based on XMLTABLE syntax Structured XMLIndex• XMLTable construct can be f (x) nested: – VIRTUAL column alias• Can be maintained manually• Secondary indexes possible Content Tables
  45. Describe CONTENT TABLE• A “regular” heap table with columns…• Ideal for secondary indexes, if needed.
  46. CONTENT TABLE(s) Structured XMLIndex f (x) Content Tables
  47. Semi-Structured Data
  48. Unstructured XMLIndex (UXI)• PATH TABLE• Use Path Subsetting Unstructured – Full Blown XMLIndex can be BIG XMLIndex f (x)• Token Tables (XDB.X$......) – Query re-write on Tokens – Fuzzy Searches, // – Optimizer Statistics• Can be maintained manually – Recorded in Pending Table Path Table• Secondary indexes possible
  49. Describe PATH TABLE
  50. What’s hidden…
  51. PATH TABLEUnstructured XMLIndex f (x) Path Table
  52. Binary XML – No Index
  53. Binary XML + XMLIndex (SXI)
  54. Binary XML + XMLIndex + Sec.Ind.
  55. Binary XML + XMLIndex + Sec.Ind.
  56. Un-Structured Data
  57. XML Full Tekst Index• Based on Oracle Text Index, XQuery Full Text• XML Namespace Aware• XML Semantic aware full text search – Full-Tekst Selection Expression – contains text – Logical Full Text Operator – ftor, ftand, ftMildNot – Context Aware full text search
  58. Balanced Design• Inserts, Updates & Deletes – XML Future Changes – Index Maintenance In Memory On Disk• Selects – In Memory – Via Indexes• XML Validation – Strict, Lazy – Client Side Possibilities
  59. Reward• Optimal performance• Out performing XML• Proper design will give performance increase over XML handling……proper design is still key…
  60. ReferencesOracle XML DB – DB FAQ Thread – eadID=410714Personal Blog – –
  61. ReferencesDaniela Florescu, Oracle Corporation Advances in XML and XQuerySam Idicula, Oracle XML DB Development Team Binary XML Storage and Query Processing in OracleJinyu Wang, Scott Brewton Making XML Technology Easier to UseJoel Spolsky - Joel on Software Back to Basics
  62. ReferencesOracle XML DB Main page material• Oracle XML DB : Best Practices to Get Optimal Performance out of XML Queries (PDF)• Oracle XML DB : Choosing the Best XMLType Storage Option for Your Use Case (PDF)• A Request for Comments for the Oracle Binary XML Format