"Comics" Is Hard: Alternative Databases
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The document discusses alternatives to traditional databases for modeling complex domains like biology and comics. It examines issues with existing modeling approaches like Linnaean taxonomy and cladistics. It then explores alternative database types that could handle these domains better, such as key-value stores, document databases, and graph databases. Code examples are provided for Tokyo Cabinet, Redis, MongoDB and Neo4j to illustrate how different types of data could be modeled in each. The document argues that a hybrid approach, combining multiple database types, may be needed to fully address the challenges of these domains.
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"Comics" Is Hard: Alternative Databases
- 1. “Comics” Is Hard: Alternative Databases Ben Scofield – Viget Labs 1
- 3. Biology 3
- 4. Linnean taxonomy 4
- 5. Kingdom Animalia Phylum Chordata Class Mammalia Order Carnivora Family Felidae Genus Panthera Species tigris flickr: pandiyan 5
- 6. Animalia Chordata Mammalia Carnivora Felidae Panthera tigris flickr: pandiyan 5
- 7. kingdom phylum class genus family order species organism 6
- 8. Problem The levels are imaginary 7
- 9. subphylum kingdom phylum class superclass subclass subfamily suborder superorder genus family order subgenus superfamily subspecies species organism variety 8
- 10. subphylum kingdom phylum class ? superclass subclass subfamily suborder superorder genus family order subgenus superfamily subspecies species organism variety 8
- 11. subspecies taxon taxon taxon species organism variety 9
- 12. Species flickr: cpurrin1 10
- 15. 12
- 16. 13
- 17. flickr: niznoz 14
- 18. Numerical taxonomy 15
- 19. Cladistics 16
- 20. taxon clade taxon organism 17
- 21. Problem Cladistics is historical and counter-intuitive 18
- 22. flickr: goellnitz 19
- 23. flickr: goellnitz pcoin 19
- 24. The Challenge Unclear, imprecise domain 20
- 25. comics 21
- 26. publisher title issue 22
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- 28. publisher imprint title issue 24
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- 30. publisher imprint title issue volume 26
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- 35. publisher imprint title issue volume trade 30
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- 42. publisher imprint title issue volume variant trade 34
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- 47. name publisher imprint title issue volume variant trade 37
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- 53. name publisher imprint title ? issue nested set? volume variant trade 40
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- 56. imprint ?!?! publisher title name issue storyline volume nested set? variant trade 43
- 57. science fiction noir horror genres? independent Martial Arts historical Pirate superhero 44
- 58. imprint publisher @#&*! title name genre issue volume nested set? storyline variant trade 45
- 60. Alternatives databases unite! #?forben flickr: ikhnaton2 47
- 62. Key-Value 49
- 63. Redis Tokyo Cabinet Project Voldemort Cassandra* 50
- 64. require "rubygems" require "tokyocabinet" include TokyoCabinet bdb = BDB::new # B-Tree database; keys may have multiple values bdb.open("casket.bdb", BDB::OWRITER | BDB::OCREAT) # store records in the database, allowing duplicates bdb.putdup("key1", "value1") bdb.putdup("key1", "value2") bdb.put("key2", "value3") bdb.put("key3", "value4") # retrieve all values p bdb.getlist("key1") # => ["value1", "value2"] # range query, find all matching keys p bdb.range("key1", true, "key3", true) # => ["key1", "key2", "key3"] http://www.igvita.com/2009/02/13/tokyo-cabinet-beyond-key-value-store/ 51
- 65. Biology x Comics x 52
- 66. Configuration ✓ Caching ✓ Translations ✓ 53
- 67. 54
- 68. Document 55
- 69. 56
- 70. { 'name':'Ben Scofield', 'adjective':'awesomesauce' } { 'name':'Magic Pony', 'description':'It is a *lie*!' } 57
- 71. Biology ✓ Comics x 58
- 72. { 'kingdom':'Animalia', ‘phylum’:‘Chordata’, ‘subphylum’:‘Vertebrata’, ‘class’:‘Mammalia’, ‘subclass’:‘Eutheria’, ‘order’:‘Carnivora’, ‘family’:‘Felidae’, ‘subfamily’:‘Panthernae’, ‘genus’:‘Pantera’, ‘species’:‘tigris’, ‘name’:‘Wanda’ } 59
- 73. Graph 60
- 74. AllegroGraph Java Java / Lisp 61
- 77. flickr: 9948354@N08 64
- 78. Biology ✓ Comics ✓ 65
- 79. Animalia ... Felidae subfamilyof genusof Panthernae genusof Panthera speciesof tigris member 001 age name weight 3 Wanda 300 66
- 80. Animalia ... Felidae subfamilyof genusof Panthernae genusof Panthera species speciesof type tigris 010 name tigris member 001 age name weight 3 Wanda 300 66
- 81. Group IV orderof Picornavirales familyof Picornaviridae genusof Rhinovirus speciesof human rhinovirus A member 002 67
- 82. class Mammalia Group IV group orderof orderof Carnivora Picornavirales familyof familyof Felidae Picornaviridae subfamilyof Panthernae genusof genusof genusof Panthera Rhinovirus speciesof speciesof human tigris rhinovirus A member member 001 002 68
- 83. DC imprintof titleof DC Universe Green titleof 001 Lantern nameof genreof volumeof genreof Volume 1 Sci Fi Superhero genreof issueof genreof 002 precedes Issue #2 number coverof #1 003 69
- 84. require 'neo4j' Neo4j::Transaction.run do dc = Neo4j::Node.new dc[:name] = 'DC' dc_universe = Neo4j::Node.new dc_universe[:name] = 'DC Universe' dc.relationships.outgoing(:imprints) << dc_universe rel = dc.relationships.outgoing(:imprints).first rel[:started] = 1980 vol1 = Neo4j::Node.new vol1[:started] = 1941 vol1[:ended] = 1949 vol1[:name] = 'Green Lantern' dc.relationships.outgoing(:titles) << vol1 dc_universe.relationships.outgoing(:titles) << vol1 # ... end 70
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- 88. post tag document id { 'title':'Post Title' 'content':'Hello!' 'comments':["First!"] } 73
- 89. 74
- 90. search user accounts and whatnot { 'name':'...' 'attr1':'...' 'attr7':'...' } 75
- 91. Thank You ben scofield - @bscofield http://benscofield.com http://www.viget.com/extend http://www.speakerrate.com/bscofield 76