Presentation: Intro to MongoDB by Alex Sharp

We’ve never got enough introductions to NoSQL systems. Embedded below are the slides from Alex Sharp’s (@ajsharp): Intro to MongoDB presentation. Just to allow you quick overview, you can find below also the text only version.

Text-only version of Intro to MongoDB

• Slide: 1

  Intro to MongoDB

  Alex Sharp

  twitter: @ajsharp

• Slide: 2

  So what is MongoDB?

• Slide: 3

  First and foremost…

• Slide: 4

  IT’S THE NEW HOTNESS!!!

• Slide: 5

  omgomgomg

  SHINY OBJECTS

  omgomgomg

• Slide: 6

  MongoDB (from “humongous”) is a scalable, high-performance, open source, schema-free, document-oriented database.

  - mongodb.org

• Slide: 7

  Philosophy

• Slide: 8

  Philosophy

  “One size fits all” approach no longer applies

• Slide: 9

  Philosophy

  Non-relational DBs scale more easily, especially horizontally

• Slide: 10

  Philosophy

  Focus on speed, performance, flexibility and scalability

• Slide: 11

  Philosophy

  Not concerned with transactional stuff and relational semantics

• Slide: 12

  Philosophy

  DBs should be an on-demand commodity, in a cloud-like fashion

• Slide: 13

  Philosophy

  Mongo tries to achieve the performance of traditional key-value stores while maintaining functionality of traditional RDBMS

• Slide: 14

  Features

• Slide: 15

  Features

  Standard database stuff

• Slide: 16

  Features

  Standard database stuff

  Indexing

• Slide: 17

  Features

  Standard database stuff

  Indexing

  replication/failover support

• Slide: 18

  Features: Document Storage

  Documents are stored in BSON (binary JSON)

• Slide: 19

  BSON is a binary serialization of JSON-like objects

  Features: Document Storage

• Slide: 20

  Features: Document Storage

  This is extremely powerful, b/c it means mongo understands JSON natively

• Slide: 21

  Features: Document Storage

  Any valid JSON can be easily imported and queried

• Slide: 22

  Features

  Schema-less; very flexible

• Slide: 23

  Features

  Schema-less; very flexible

  no more blocking ALTER TABLE

• Slide: 24

  Features

  Auto-sharding (alpha)

• Slide: 25

  Features

  Makes for easy horizontal scaling

• Slide: 26

  Features

  Map/Reduce

• Slide: 27

  Features

  Very, very fast

• Slide: 28

  Features

  Super easy to install

• Slide: 29

  Features

  Strong with major languages

• Slide: 30

  Features

  Document-oriented = flexible

• Slide: 31

  Features: Querying

  Rich, javascript-based query syntax

• Slide: 32

  Features: Querying

  Rich, javascript-based query syntax

  Allows us to deep, nested queries

• Slide: 33

  Features: Querying

  Rich, javascript-based query syntax

  Allows us to do deep, nested queries

  db.order.find( { shipping: { carrier: "usps" } } );

• Slide: 34

  Features: Querying

  Rich, javascript-based query syntax

  Allows us to deep, nested queries

  db.order.find( { shipping: { carrier: "usps" } } );

  shipping is an embedded document (object)

• Slide: 35

  Features: Binary Object Store

  Efficient binary large object store via GridFS

• Slide: 36

  Features: Binary Object Store

  Efficient binary large object store via GridFS

  i.e. store images, videos, anything

• Slide: 37

  Concepts

• Slide: 38

  Concepts: Document-oriented

  Think of “documents” as database records

• Slide: 39

  Concepts: Document-oriented

  Think of “documents” as database records

  Documents are basically just JSON objects that Mongo stores in binary

• Slide: 40

  Concepts: Document-oriented

  Think of “collections” as database tables

• Slide: 44

  Concept Mapping

  RDBMS (mysql, postgres)

  Tables

  Records/rows

  Queries return record(s)

  MongoDB

  Collections

  Documents/objects

  Queries return a cursor

   ???

• Slide: 45

  Concepts: Cursors

  Queries return “cursors” instead of collections

• Slide: 46

  Concepts: Cursors

  Queries return “cursors” instead of collections

  A cursor allows you to iterate through the result set

• Slide: 47

  Concepts: Cursors

  Queries return “cursors” instead of collections

  A cursor allows you to iterate through the result set

  A big reason for this is performance

• Slide: 48

  Concepts: Cursors

  Queries return “cursors” instead of collections

  A cursor allows you to iterate through the result set

  A big reason for this is performance

  Much more efficient than loading all objects into memory

• Slide: 49

  Concepts: Cursors

  The find() function returns a cursor object

• Slide: 50

  Concepts: Cursors

  The find() function returns a cursor object

  var cursor = db.logged_requests.find({ 'status_code' : 200 })

  cursor.hasNext() // "true"

  cursor.forEach( function (item) {

  print(tojson(item))

  });

  cursor.hasNext() // "false"

• Slide: 51

  Cool Features

• Slide: 52

  Cool Features

  Capped collections

• Slide: 53

  Cool Features

  Capped collections

  Fixed-sized, limited operation, auto-LRU age-out collections

• Slide: 54

  Cool Features

  Capped collections

  Fixed-sized, limited operation, auto-LRU age-out collections

  Fixed insertion order

• Slide: 55

  Cool Features

  Capped collections

  Fixed-sized, limited operation, auto-LRU age-out collections

  Fixed insertion order

  Super fast

• Slide: 56

  Cool Features

  Capped collections

  Fixed-sized, limited operation, auto-LRU age-out collections

  Fixed insertion order

  Super fast

  Ideal for logging and caching

• Slide: 57

  Cool Uses

  Data Warehouse

  Mongo understands JSON natively

• Slide: 58

  Cool Uses

  Data Warehouse

  Mongo understands JSON natively

  Very powerful for analysis

• Slide: 59

  Cool Uses

  Data Warehouse

  Mongo understands JSON natively

  Very powerful for analysis

  Query a bunch of data from some web service

• Slide: 60

  Cool Uses

  Data Warehouse

  Mongo understands JSON natively

  Very powerful for analysis

  Query a bunch of data from some web service

  Import into mongo (mongoimport -f filename.json)

• Slide: 61

  Cool Uses

  Data Warehouse

  Mongo understands JSON natively

  Very powerful for analysis

  Query a bunch of data from some web service

  Import into mongo (mongoimport -f filename.json)

  Analyze to your heart’s content

• Slide: 62

  Cool Uses

  Harmonyapp.com

  Large rails app for building websites (kind of a CMS)

• Slide: 63

  Cool Uses

  Hardcore debugging

  Spit out large amounts of data

• Slide: 64

  Limitations

  Transaction support

• Slide: 65

  Limitations

  Transaction support

  Relational integrity

• Slide: 66

  Resources