Datasets by David Semeria

LM Datasets Promote data and code sharing on the webDavid Semeria Ruby Social Club Milanodavid@lmframework.com 16th December 2010@hymanroth

Objects Properties (data) Methods (code)Interface LM Datasets 2

Objects Properties (data) Methods (code) Functional abstraction (GOOD)Interface LM Datasets 3

Objects Properties (data) Data abstraction (BAD) Methods (code) Functional abstraction (GOOD)Interface LM Datasets 4

Objects Properties (data) Data abstraction (BAD) Methods (code) Functional abstraction (GOOD)Interface Context: web services Interoperability is key LM Datasets 5

InteroperabilityBrowser Twitter Facebook Flickr Bit.lyLM Datasets 6

InteroperabilityBrowser Twitter Facebook Flickr Bit.lyLM Datasets 7

How Much Glue Code? Twitter Facebook Facebook Twitter Twitter Flickr Facebook Flickr Twitter Bit.ly Facebook Bit.ly Flickr Twitter Bit.ly Twitter Flickr Facebook Bit.ly Facebook Flickr Bit.ly Bitl.ly Flickr 12 sets of code N2 - NLM Datasets 8

The General CaseBrowser Service A Service B Choose from N options Choose from N options LM Datasets 9

The General CaseBrowser Service A Service B Choose from N options Choose from N options For N = 100 N2 – N = 99,900 LM Datasets 10

The Problem APIs are better than nothing, but they remain a major impediment to a fully writable Web. (The same applies to corporate intranets)LM Datasets 11

Datasets A generic Global data definitions representation for hierarchical data Permissions LIBRARY ( Front and back end ) Key word: GENERICLM Datasets 12

Hierarchical Structures root node node node leaf leaf node nodeleaf leaf leaf leaf LM Datasets 13

A people tree root people sport music Id: bowie Id: clapton name: “David Bowie” name: “Eric Clapton” soccer formula1Id: maldini Id: gerrard Id: alonso Id: hamiltonname: “Paolo Maldini” name: “Steven Gerrard” name: “Fernando Alonso” name: “Lewis Hamilton” LM Datasets 14

Generic Representation S root node 1 node 2 node 1 leaf 1 leaf 2 node 2 R node 1 record node 2 record leaf 1 record leaf 2 recordLM Datasets 15

JSON Exampleds: { s: { root: { people: 1 }, people: { music: 1, sport: 1 }, sport: { soccer: 1, forumla1: 1 }, music: { bowie: 1, clapton: 1 }, soccer: { maldini: 1, gerrard: 1 }, formula1: { alonso: 1, hamilton: 1 } }, r: { people: { name: “People”, color: “green” }, music: { name: “Music” color: “black” }, sport: { name: “Sport” color: “white” }, soccer: { name: “Soccer”, color “red” }, formula1: { name: “Formula One”, color: “yellow” }, bowie: { name: “David Bowie”, color: “black” }, clapton: { name: “Eric Clapton”, color: “black” }, Maldini: { name: “Paolo Maldini”, color: “red” }, Gerrard: { name: “Steven Gerrard”, color: “red” }, Alonso: { name: “Fernando Alonso”, color: “red” }, Hamilton: { name: “Lewis Hamilton”, color: “silver” } } };LM Datasets 16

Some Code Examples ➔ Leverage structure ➔ No need for recursive tree walking ➔ Leverage native operations ➔ Object property look-up much faster than array iteration.LM Datasets 17

ID Exists ? function IdExists (id){ return ds.r[id] != null; }LM Datasets 18

Node or Leaf ? function nodeOrLeaf (id){ return (ds.s[id]) ?node :leaf; } // assumes id existsLM Datasets 19

Node contains id ? function contains (nodeId, id){ if (ds.s[nodeId][id]){ return true; } return false } // assumes nodeId existsLM Datasets 20

Parent Node function parentNode (id){ for ( var k in ds.s ){ if (ds.s[k][id]){ return k; } } //error }LM Datasets 21

Move Item function move ( toNodeId, id ){ delete( ds.s[parenNode(id)][id] ); ds.s[toNodeId][id] = 1; } // assumes all ids existLM Datasets 22

Templates DATASET FLOW + HTML TEMPLATESLM Datasets 23

NODE TEMPLATE: Flowing Templates <DIV style = “border: 2px solid {color}; padding: 10px”></DIV> LEAF TEMPLATE: <P><SPAN style = “color:{color}”>{name}</SPAN></P>LM Datasets 24

Flowing Templates NODE TEMPLATE: <DIV style = “border: 2px solid {color}; padding: 10px”></DIV> LEAF TEMPLATE: <P><SPAN style = “color:{color}”>{name}</SPAN></P> OUTPUT: David Bowie Eric Clapton Paolo Maldini Steven Gerrard Fernando Alonso Lewis HamiltonLM Datasets 25

Demo 1LM Datasets 26

Data Definitions EXAMPLE DEFINITION Name Age type string type integer minLen 1 minVal 0 maxLen 50 maxVal 150 canBeNumeric false regex (w| )* function checkNameLM Datasets 27

Inheritance PEOPLE PLACES THINGS ...... BASIC INFO DETAILED INFO EMAIL INFO DETAILED & EMAIL INFOLM Datasets 28

Inheritance Across Root Types PEOPLE SERVICE BASIC INFO TWITTER DETAILED INFO TWITTER INFO TWITTER USER is a sub-type of both: SERVICE / TWITTER / TWITTER INFO TWITTER USER PEOPLE / BASIC INFOLM Datasets 29

Inheritance Demo 2LM Datasets 30

Normalization Just like in the relational model, Dataset normalization means we dont store the same information twice....LM Datasets 31

Viewsets and Recordsets VIEWSET A VIEWSET B refs RECORD SET 1 sparse RECORD SET 2 SERVERLM Datasets 32

Demo 3windows LIVERPOOL MILAN #1 MILAN #2 DREAM TEAMview sets VS - LIVERPOOL VS - MILAN VS – DREAM TEAM RECORD SET FOOTBALLERS SERVER LM Datasets 33

Summary ➔ Dont hide your data in objectsLM Datasets 39

Summary ➔ Dont hide your data in objects ➔ APIs can be an obstacle (representation)LM Datasets 40

Summary ➔ Dont hide your data in objects ➔ APIs can be an obstacle (representation) ➔ Above all, KEEP IT GENERIC !!LM Datasets 41

Summary ➔ Dont hide your data in objects ➔ APIs can be an obstacle (representation) ➔ Above all, KEEP IT GENERIC !!Questions are welcome:david@lmframework.com@hymanrothLM Datasets 42

Datasets by David Semeria

by Lorenzo Grandi on Jan 17, 2011

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