Download pdf - Datasets by David Semeria

LM Datasets

Promote data and code sharing

on the web

David [email protected]@hymanroth

Ruby Social Club Milano16th December 2010

mailto:[email protected]

LM Datasets 2

Objects

Properties (data)

Methods (code)

Interface

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Objects

Properties (data)

Methods (code) Functional abstraction (GOOD)

Interface

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Objects

Properties (data)

Methods (code)

Data abstraction (BAD)

Functional abstraction (GOOD)

Interface

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Objects

Properties (data)

Methods (code)

Data abstraction (BAD)

Functional abstraction (GOOD)

Interface

Context: web services

Interoperability is key

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Interoperability Browser

Twitter Facebook

Flickr Bit.ly

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Interoperability Browser

Twitter Facebook

Flickr Bit.ly

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How Much Glue Code?

Twitter Facebook

Twitter Flickr

Twitter Bit.ly

Facebook Twitter

Facebook Flickr

Facebook Bit.ly

Flickr Twitter

Flickr Facebook

Flickr Bit.ly

Bit.ly Twitter

Bit.ly Facebook

Bitl.ly Flickr

12 sets of code

N2 - N

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The General Case

Browser

Choose from N options

Service A


Service B

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The General Case

Browser


Service A


Service B

For N = 100 N2 – N = 99,900

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The Problem

APIs are better than nothing, but they

remain a major impediment to a fully

writable Web.

(The same applies to corporate intranets)

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Datasets

A generic

representation for

hierarchical data

Global data definitions

Permissions

LIBRARY ( Front and back end )

Key word: GENERIC

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Hierarchical Structuresroot

node

node node

node nodeleaf leaf

leaf leaf leaf leaf

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A 'people' treeroot

people

sport music

soccer formula1Id: bowiename: “David Bowie”

Id: claptonname: “Eric Clapton”

Id: maldininame: “Paolo Maldini”

Id: gerrardname: “Steven Gerrard”

Id: alonsoname: “Fernando Alonso”

Id: hamiltonname: “Lewis Hamilton”

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Generic Representation

root

leaf 1

S node 1

node 2

node 1

leaf 2

R node 1 record

node 2 record

leaf 1 record

leaf 2 record

node 2

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JSON Example

ds: { 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” } } };

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Some Code Examples

➔ Leverage structure

➔ No need for recursive tree walking

➔ Leverage native operations

➔ Object property look-up much faster than array iteration.

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ID Exists ?

function IdExists (id){

return ds.r[id] != null;

}

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Node or Leaf ?

function nodeOrLeaf (id){

return (ds.s[id]) ?'node' :'leaf';

}

// assumes id exists

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Node contains id ?

function contains (nodeId, id){

if (ds.s[nodeId][id]){

return true;

}

return false

}

// assumes nodeId exists

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Parent Node

function parentNode (id){

for ( var k in ds.s ){

if (ds.s[k][id]){

return k;

}

}

//error

}

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Move Item

function move ( toNodeId, id ){

delete( ds.s[parenNode(id)][id] );

ds.s[toNodeId][id] = 1;

}

// assumes all ids exist

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Templates

DATASET

TEMPLATES

+ HTMLFLOW

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Flowing TemplatesNODE TEMPLATE:

<DIV style = “border: 2px solid {color}; padding: 10px”></DIV>

LEAF TEMPLATE:

<P><SPAN style = “color:{color}”>{name}</SPAN></P>

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Flowing TemplatesNODE TEMPLATE:

<DIV style = “border: 2px solid {color}; padding: 10px”></DIV>

LEAF TEMPLATE:

<P><SPAN style = “color:{color}”>{name}</SPAN></P>

OUTPUT:

Eric Clapton

David Bowie

Paolo MaldiniSteven Gerrard

Fernando AlonsoLewis Hamilton

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Demo 1

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Data Definitions

Agetype integer

minVal 0

maxVal 150

EXAMPLE DEFINITION

Nametype string

minLen 1

maxLen 50

canBeNumeric false

regex (\w| )*

function checkName

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Inheritance

PEOPLE PLACES THINGS ......

BASIC INFO

DETAILED INFO EMAIL INFO

DETAILED & EMAIL INFO

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Inheritance Across Root Types

PEOPLE SERVICE

BASIC INFO

DETAILED INFO

TWITTER

TWITTER USER

TWITTER USER is a sub-type of both:

SERVICE / TWITTER / TWITTER INFO

PEOPLE / BASIC INFO

TWITTER INFO

TWITTER

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Inheritance

Demo 2

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Normalization

Just like in the relational model, Dataset

normalization means we don't store the

same information twice....

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Viewsets and Recordsets

VIEWSET A

RECORD SET 1 RECORD SET 2

VIEWSET B

sparse

refs

SERVER

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Demo 3

VS - LIVERPOOL

RECORD SET FOOTBALLERS

VS - MILAN

SERVER

VS – DREAM TEAM

LIVERPOOL MILAN #1 MILAN #2 DREAM TEAM

windows

view sets

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Demo 3

VS - LIVERPOOL


VS - MILAN

SERVER

VS – DREAM TEAM


windows

view sets

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Demo 3

VS - LIVERPOOL


VS - MILAN

SERVER

VS – DREAM TEAM


windows

view sets

LM Datasets 36

Demo 3

VS - LIVERPOOL


VS - MILAN

SERVER

VS – DREAM TEAM


windows

view sets

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Demo 3

VS - LIVERPOOL


VS - MILAN

SERVER

VS – DREAM TEAM


windows

view sets

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Demo 3

VS - LIVERPOOL


VS - MILAN

SERVER

VS – DREAM TEAM


windows

view sets

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Summary

➔ Don't hide your data in objects

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Summary


➔ APIs can be an obstacle (representation)

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Summary



➔ Above all, KEEP IT GENERIC !!

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Summary

Questions are welcome:

[email protected]

@hymanroth



➔ Above all, KEEP IT GENERIC !!

mailto:[email protected]