Datomic

DATOMICJordan Leigh - @AlwaysBCoding

><LOGO HERESlogan line here www.website.com │ [email protected] ><LOGO HERESlogan line here www.website.com │ [email protected]

STACKS

2


STACKS

3

Ruby

Rails

jQuery

PostgreSQL


STACKS

4

Ruby MongoDB

Rails Express

jQuery AngularJS

NodeJSPostgreSQL


STACKS

5

Ruby MongoDB Clojure

Rails Express ClojureScript

ReactJS

Datomic

jQuery AngularJS

NodeJSPostgreSQL


DATOMIC

6

Ruby MongoDB Clojure

Rails Express ClojureScript

ReactJS

Datomic

jQuery AngularJS

NodeJSPostgreSQL

THE DATABASE AS A VALUE

WHAT IS A VALUE

VALUE

42

VALUE

[1, 2, 3]

VALUE

{

}

:name “John Wall”:age 24

NOT A VALUE

<0x00000101a958d8>

NOT A VALUE

person = Person.new(“John Wall”, 24)

NOT A VALUE

Postgres Database


ADVANTAGES OF VALUES

15



16

Easy to Share



17

Easy to Share

Reproducible Results



18

Easy to Share

Easy to Fabricate




19

Easy to Share

Easy to Fabricate


Language Independent



20

Easy to Share

Easy to Fabricate

Aggregate to Values



WHAT IS A FACT

WHAT IS A FACT

John Wall plays for the Wizards

WHAT IS A FACT

John Wall played for the Wizards

on November 8th 2014

WHAT IS A FACT

Theodore Roosevelt

on March 5th 1905

held the position

President of the United States

WHAT IS A FACT

Theodore Roosevelt

March 5th 1905

position

president

WHAT IS A FACT

Theodore Roosevelt

March 5th 1905

position

president

entity

WHAT IS A FACT

Theodore Roosevelt

March 5th 1905

position

president

attribute

WHAT IS A FACT

Theodore Roosevelt

March 5th 1905

position

president value

WHAT IS A FACT

Theodore Roosevelt

March 5th 1905

position

president

timestamp

OO MODEL

OO MODEL

OO MODEL

FACT BASED MODEL

FACT BASED MODEL

Timestamp

FACT BASED MODEL

Timestamp Timestamp

FACT BASED MODEL

Timestamp TimestampTimestamp

GIT

Timestamp TimestampTimestamp

A B C



38

Easy to Share

Easy to Fabricate

Aggregate to Values





39

Easy to Share

Easy to Fabricate

Aggregate to Values



ONE FACT

{…}

timestamp

A SERIES OF FACTS OVER TIME

[{…}, {…}, {…}, {…}, {…}, {…}]

time

STRUCTURE OF A FACT

[entity, attribute, value, timestamp]

STRUCTURE OF A FACT


[Wizards Ticket, price, $60, 11-11-2014 12:00pm]

STRUCTURE OF A FACT


[Wizards Ticket, price, $60, 11-11-2014 12:00pm]

DATOM

A SERIES OF DATOMS OVER TIME

[DATOM, DATOM, DATOM, DATOM, DATOM]

time

A SERIES OF DATOMS OVER TIME

[DATOM, DATOM, DATOM, DATOM, DATOM]

time

DATOMIC

QUERY

HOW ARE WE DOING THIS NOW

APP


APP


APP

“…”


APP

“…”


APP

“…”

value


APP

“…”

value


APP

“…”

value

manipulate with code

DATOMIC

APP

DATOMIC

APP

DATOMIC

APP

value

DATOMIC

APP

value

db

DATOMIC

APP

value

db

value

DATOMIC

APP

value

db

value

manipulate with code

A SERIES OF FACTS OVER TIME

[{…}, {…}, {…}, {…}, {…}, {…}]

time

PATTERN MATCHING

[{…}, {…}, {…}, {…}, {…}, {…}]

[{…}, {…}, {…}]

PATTERN

DATALOG

datomic.db.Db@4163cc8b

#{[“wizards”]}

[:find ?name :where

[?eid :nba.team/city “washington”]

[?eid :nba.team/name ?name]]


APP

“…”

value

PATTERN MATCHING

[{…}, {…}, {…}, {…}, {…}, {…}]

RESULT

QUERY

PATTERN MATCHING

[{…}, {…}, {…}, {…}, {…}, {…}]

RESULT

QUERY

PATTERN MATCHING

[{…}, {…}, {…}, {…}, {…}, {…}]

RESULT

QUERY

PATTERN MATCHING

[{…}, {…}, {…}, {…}, {…}, {…}]

RESULT

QUERY

SCHEMA


SCHEMA CONCEPTS

70


SCHEMA CONCEPTS

71

Declaration of Entity Types


SCHEMA CONCEPTS

72


Whitelist of Attributes by

Entity Type


SCHEMA CONCEPTS

73


Declaration of which

attributes are references

Whitelist of Attributes by

Entity Type

SCHEMA CONCEPTS

Entity

SCHEMA CONCEPTS

NBA Team

SCHEMA CONCEPTS

NBA Team

Name: STRING

City: STRING

Logo: URI

SCHEMA CONCEPTS

NBA Team

Name: “wizards”

City: “washington”

Logo: http://cdn.something.com/nba/logos/wizards.svg

SCHEMA CONCEPTS

NBA Player

SCHEMA CONCEPTS

NBA Player

Birthdate: INSTANT

Name: STRING

CurrentTeam: REF

SCHEMA CONCEPTS

NBA Player

Birthdate: #inst September 6 1990

Name: “John Wall”

CurrentTeam: 176523498213

SCHEMA CONCEPTS

John

Wall

Wizards

CurrentTeam

SCHEMA CONCEPTS

John

Wall

WizardsPLAYER

TEAM

SCHEMA CONCEPTS

John

Wall

Wizards

wizards

vs.

nets

PLAYERTEAM

GAME

SCHEMA CONCEPTS

John

Wall

Wizards

wizards

vs.

nets

PLAYERTEAM

GAME

Dunk @

7:00 1Q

GAME EVENT

SCHEMA CONCEPTS

John

Wall

Wizards

wizards

vs.

nets

PLAYERTEAM

GAME

Dunk @

7:00 1Q

GAME EVENT

scored by

SCHEMA CONCEPTS

John

Wall

Wizards

wizards

vs.

nets

PLAYERTEAM

GAME

Dunk @

7:00 1Q

GAME EVENT

Otto

PorterPLAYER

scored by

assisted by

SCHEMA CONCEPTS

John

Wall

Wizards

wizards

vs.

nets

PLAYERTEAM

GAME

Dunk @

7:00 1Q

GAME EVENT

Otto

PorterPLAYER

scored by

assisted by

OTHER NOTES


THE GOOD

89


THE GOOD

90

Decoupled from Storage


THE GOOD

91


Functions in the Database


THE GOOD

92


TX Report Queue

Functions in the Database


THE BAD

93


THE BAD

94

Not open source


THE BAD

95

Not open source

Paid license to use in

production


THE BAD

96

Not open source

Documentation around

deployment is rough

Paid license to use in

production

CODE

Software

Datomic