Cc cbs-demo & tour-12012012

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Introduction to

Couchbase Server 2.0

Dipti BorkarDirector, Product Management

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2.0

NoSQL Document

Database

Couchbase Server

3

Easy Scalability

Consistent High Performance

Always On

24x365

Grow cluster without application changes, without downtime with a single click

Consistent sub-millisecond read and write response times

with consistent high throughput

No downtime for software upgrades, hardware maintenance, etc.

Couchbase Server

JSONJSON

JSON

JSONJSON

Flexible Data Model

JSON document model with no fixed schema.

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Flexible Data Model

• No need to worry about the database when changing your application

• Records can have different structures, there is no fixed schema

• Allows painless data model changes for rapid application development

{“ID”: 1,“FIRST”: “Dipti”,“LAST”: “Borkar”,“ZIP”: “94040”,“CITY”: “MV”,“STATE”: “CA”

}JSON

JSONJSON JSON

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Couchbase Server Features

Built-in clustering – All nodes equal

Data replication with auto-failover

Zero-downtime maintenance

Clone to grow and scale horizontally

Built-in managed cached

Monitoring and administration APIs and GUI

SDK for a variety of languages

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New in 2.0

JSON support Indexing and Querying

Cross data center replicationIncremental Map Reduce

JSONJSON

JSON

JSONJSON

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Couchbase Server 2.0 Architecture

Hea

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AP

I/W

eb

UI

HTTP

8091Erlang port mapper

4369Distributed Erlang

21100 - 21199

Erlang/OTP

storage interface

Couchbase EP Engine

11210Memcapable 2.0

Moxi

11211Memcapable 1.0

Memcached

New Persistence Layer

8092Query API

Qu

ery

En

gin

e

Data Manager Cluster Manager

8

Couchbase Server 2.0 Architecture

Hea

rtb

eat

Pro

cess

mo

nit

or

Glo

bal

sin

glet

on

su

per

viso

r

Co

nfi

gura

tio

n m

anag

er

on each node

Reb

alan

ce o

rch

estr

ato

r

No

de

hea

lth

mo

nit

or

one per cluster

vBu

cket

sta

te a

nd

rep

licat

ion

man

ager

httpR

EST

man

age

me

nt

AP

I/W

eb

UI

HTTP

8091Erlang port mapper

4369Distributed Erlang

21100 - 21199

Erlang/OTP

storage interface

Couchbase EP Engine

11210Memcapable 2.0

Moxi

11211Memcapable 1.0

Memcached

New Persistence Layer

8092Query API

Qu

ery

En

gin

e

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COUCHBASE OPERATIONS

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33 2

Single node - Couchbase Write Operation

2

Managed Cache

Dis

k Q

ueu

e

Disk

Replication Queue

App Server

Couchbase Server Node

Doc 1Doc 1

Doc 1

To other node

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33 2

Single node - Couchbase Update Operation

2

Managed Cache

Dis

k Q

ueu

e

Replication Queue

App Server


Doc 1’

Doc 1

Doc 1’Doc 1

Doc 1’

Disk

To other node

12

GET

Do

c 1

33 2

Single node - Couchbase Read Operation

2

Dis

k Q

ueu

e

Replication Queue

App Server


Doc 1

Doc 1Doc 1

Managed Cache

Disk

To other node

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COUCHBASE SERVER CLUSTER

Basic Operation

• Docs distributed evenly across servers

• Each server stores both active and replica docsOnly one server active at a time

• Client library provides app with simple interface to database

• Cluster map provides map to which server doc is onApp never needs to know

• App reads, writes, updates docs

• Multiple app servers can access same document at same time

User Configured Replica Count = 1

READ/WRITE/UPDATE

ACTIVE

Doc 5

Doc 2

Doc

Doc

Doc

SERVER 1

ACTIVE

Doc 4

Doc 7

Doc

Doc

Doc

SERVER 2

Doc 8

ACTIVE

Doc 1

Doc 2

Doc

Doc

Doc

REPLICA

Doc 4

Doc 1

Doc 8

Doc

Doc

Doc

REPLICA

Doc 6

Doc 3

Doc 2

Doc

Doc

Doc

REPLICA

Doc 7

Doc 9

Doc 5

Doc

Doc

Doc

SERVER 3

Doc 6

APP SERVER 1

COUCHBASE Client Library

CLUSTER MAP


CLUSTER MAP

APP SERVER 2

Doc 9

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Add Nodes to Cluster

• Two servers addedOne-click operation

• Docs automatically rebalanced across clusterEven distribution of docsMinimum doc movement

• Cluster map updated

• App database calls now distributed over larger number of servers

REPLICA

ACTIVE

Doc 5

Doc 2

Doc

Doc

Doc 4

Doc 1

Doc

Doc

SERVER 1

REPLICA

ACTIVE

Doc 4

Doc 7

Doc

Doc

Doc 6

Doc 3

Doc

Doc

SERVER 2

REPLICA

ACTIVE

Doc 1

Doc 2

Doc

Doc

Doc 7

Doc 9

Doc

Doc

SERVER 3 SERVER 4 SERVER 5

REPLICA

ACTIVE

REPLICA

ACTIVE

Doc

Doc 8 Doc

Doc 9 Doc

Doc 2 Doc

Doc 8 Doc

Doc 5 Doc

Doc 6

READ/WRITE/UPDATE READ/WRITE/UPDATE

APP SERVER 1


CLUSTER MAP


CLUSTER MAP

APP SERVER 2



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Fail Over Node

REPLICA

ACTIVE

Doc 5

Doc 2

Doc

Doc

Doc 4

Doc 1

Doc

Doc

SERVER 1

REPLICA

ACTIVE

Doc 4

Doc 7

Doc

Doc

Doc 6

Doc 3

Doc

Doc

SERVER 2

REPLICA

ACTIVE

Doc 1

Doc 2

Doc

Doc

Doc 7

Doc 9

Doc

Doc

SERVER 3 SERVER 4 SERVER 5

REPLICA

ACTIVE

REPLICA

ACTIVE

Doc 9

Doc 8

Doc Doc 6 Doc

Doc

Doc 5 Doc

Doc 2

Doc 8 Doc

Doc

• App servers accessing docs

• Requests to Server 3 fail

• Cluster detects server failedPromotes replicas of docs to activeUpdates cluster map

• Requests for docs now go to appropriate server

• Typically rebalance would follow

Doc

Doc 1 Doc 3

APP SERVER 1


CLUSTER MAP


CLUSTER MAP

APP SERVER 2



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DEMO TIME

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Indexing and Querying


ACTIVE

Doc 5

Doc 2

Doc

Doc

Doc

SERVER 1

REPLICA

Doc 4

Doc 1

Doc 8

Doc

Doc

Doc

APP SERVER 1


CLUSTER MAP


CLUSTER MAP

APP SERVER 2

Doc 9

• Indexing work is distributed amongst nodes

• Large data set possible

• Parallelize the effort

• Each node has index for data stored on it

• Queries combine the results from required nodes

ACTIVE

Doc 5

Doc 2

Doc

Doc

Doc

SERVER 2

REPLICA

Doc 4

Doc 1

Doc 8

Doc

Doc

Doc

Doc 9

ACTIVE

Doc 5

Doc 2

Doc

Doc

Doc

SERVER 3

REPLICA

Doc 4

Doc 1

Doc 8

Doc

Doc

Doc

Doc 9

Query

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Cross Data Center Replication (XDCR)

COUCHBASE SERVER CLUSTERNY DATA CENTER

ACTIVE

Doc

Doc 2

SERVER 1

Doc 9

SERVER 2 SERVER 3

RAM

Doc Doc Doc

ACTIVE

Doc

Doc

Doc

RAM

ACTIVE

Doc

Doc

Doc

RAM

DISK

Doc Doc Doc

DISK

Doc Doc Doc

DISK

COUCHBASE SERVER CLUSTERSF DATA CENTER

ACTIVE

Doc

Doc 2

SERVER 1

Doc 9

SERVER 2 SERVER 3

RAM

Doc Doc Doc

ACTIVE

Doc

Doc

Doc

RAM

ACTIVE

Doc

Doc

Doc

RAM

DISK

Doc Doc Doc

DISK

Doc Doc Doc

DISK

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Couchbase SDKs

Java SDK

.Net SDK

PHP SDK

Ruby SDK

…and many more

Java client API

User Code

Couchbase Server

CouchbaseClient cb = new CouchbaseClient(listURIs,"aBucket", "letmein");

cb.set("hello", 0, "world");cb.get("hello");

http://www.couchbase.com/develop

Couchbase Java Library (spymemcached)

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DEMO TIME

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Demo: The next big social game

3 Objects (documents) within game:• Players• Monsters• Items

Gameplay:

• Players fight monsters

• Monsters drop items

• Players own items

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Player Document

{

"jsonType": "player",

"uuid": "35767d02-a958-4b83-8179-616816692de1",

"name": "Keith4540",

"hitpoints": 75,

"experience": 663,

"level": 4,

"loggedIn": false

}

Player ID

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Item Document

{

"jsonType": "item",

"name": "Katana_e5890c94-11c6-65746ce6c560",

"uuid": "e5890c94-11c6-4856-a7a6-65746ce6c560",

"ownerId": "Dale9887"

}

Item ID

Player ID

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Monster Document

{

"jsonType": "monster",

"name": "Bauchan9932",

"uuid": "d10dfc1b-0412-4140-b4ec-affdbf2aa5ec",

"hitpoints": 370,

"experienceWhenKilled": 52,

"itemProbability": 0.5050581341872865

}

Monster ID

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GAME ON!

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Linear Scaling: Couchbase + Cisco + Solarflare

Linear throughput scalability

High throughput with 1.4 GB/sec data transfer rate

using 4 servers

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2.0Coming soon.

JSON Documents

Indexing Querying

Cross Data Center Replication

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THANK YOU!

Get Couchbase Server 2.0 at http://www.couchbase.com/download

[email protected]

@dborkar

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QUESTIONS?