Webinar - Introduction to Couchbase Server

Couchbase Server 2.0Introduction

Couchbase Open Source Project

•Leading NoSQL database project focused on distributed database technology and surrounding ecosystem

•Supports both key-value and document-oriented use cases

•All components are available under the Apache 2.0 Public License

•Obtained as packaged software in both enterprise and community editions.

Couchbase Open Source Project

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.

Flexible Data Model

JSON document model with no fixed schema.

Couchbase Server Core Principles

New in 2.0

JSON support Indexing and Querying

Cross Datacenter ReplicationIncremental Map Reduce

JSONJSONJSON

JSONJSON

• Database stays online, no downtime for schema changes• Records can have different structures, there is no fixed schema• Model Data easier and faster -- agile rapid application

development

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

}JSON

JSONJSON JSON

Flexible Data Model

Architecture

Couchbase Server 2.0 Architecture

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Erlang port mapper4369

Distributed Erlang21100 - 21199

Erlang/OTP

storage interface

Couchbase EP Engine

11210Memcapable 2.0

Moxi

11211Memcapable 1.0

Memcached

New Persistence Layer

8092Query API

Que

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Data Manager Cluster Manager

Couchbase Server 2.0 Architecture

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Erlang/OTP

storage interface

Couchbase EP Engine

11210Memcapable 2.0

Moxi

11211Memcapable 1.0

Built-in Cache

New Persistence Layer

8092Query API

Que

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Couchbase Operations

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Single node - Couchbase Write Operation

Managed Cache

Dis

k Q

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Disk

Replication Queue

App Server

Couchbase Server Node

Doc 1Doc 1

Doc 1

To other node

3333 22

Single node - Couchbase Update Operation

Managed Cache

Dis

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ueue

Replication Queue

App Server

Doc 1’

Doc 1

Doc 1’Doc 1

Doc 1’

Disk

To other node


GET

Doc

1

3333 22

Single node - Couchbase Read Operation

Dis

k Q

ueue

Replication Queue

App Server

Doc 1

Doc 1Doc 1

Managed Cache

Disk

To other node


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Single node - Couchbase Cache Eviction2

Dis

k Q

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Replication Queue

App Server


Doc 1

Doc 6Doc 5Doc 4Doc 3Doc 2

Doc 1

Doc 6 Doc 5 Doc 4 Doc 3 Doc 2

Managed Cache

Disk

To other node

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Single node – Couchbase Cache Miss2

Dis

k Q

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Replication Queue

App Server


Doc 1

Doc 3Doc 5 Doc 2Doc 4

Doc 6 Doc 5 Doc 4 Doc 3 Doc 2

Doc 4

GET

Doc

1

Doc 1

Doc 1

Managed Cache

Disk

To other node

Couchbase Server Cluster

Cluster-wide 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 LibraryCOUCHBASE Client Library

Cluster Map


Cluster Map

App Server 2

Doc 9

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



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



DEMO

Indexing and Querying – The basics

• Define materialized views on JSON documents and then query across the data set

• Using views you can define• Primary indexes • Simple secondary indexes (most common use case)• Complex secondary, tertiary and composite indexes• Aggregations (reduction)

• Indexes are eventually indexed

• Queries are eventually consistent

• Built using Map/Reduce technology • Map and Reduce functions are written in Javascript

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Eventually indexed Views – Data flow2

Managed Cache

Dis

k Q

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Disk

Replication Queue

App Server


Doc 1Doc 1

Doc 1

To other node

View engine

Doc 1


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

Cross Data Center Replication – The basics

•Replicate your Couchbase data across clusters

•Clusters may be spread across geos

•Configured on a per-bucket (per-database) basis

•Supports unidirectional and bidirectional operation

•Application can read and write from both clusters Active – Active replication

•Replication throughput scales out linearly

•Different from intra-cluster replication

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Cross data center replication – Data flow2

Managed Cache

Dis

k Q

ueue

Disk

Replication Queue

App Server


Doc 1Doc 1

Doc 1

To other node

XDCR Queue

Doc 1

To other cluster

Cross Data Center Replication (XDCR)Couchbase Server Cluster

NY DATA CENTERActive

Doc

Doc 2

Server 1

Doc 9

Server 2 Server 3

RAM

Doc Doc Doc

Active

Doc

Doc

Doc RAM

Active

Doc

Doc

DocRAM

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

DocRAM

DISK

Doc Doc Doc

DISK

Doc Doc Doc

DISK

Elasticsearch Integration (via XDCR)

RAM CACHERAM CACHE

Doc 1

Doc 2

Doc

Doc

Doc

Doc

Doc

Doc

Doc

Doc

Doc

SERVER 1

Doc 6

DISKDISK

RAM CACHERAM CACHE

Doc 1

Doc 2

Doc

Doc

Doc

Doc

Doc

Doc

Doc

Doc

Doc

SERVER 2

Doc 6

DISKDISK

RAM CACHERAM CACHE

Doc 1

Doc 2

Doc

Doc

Doc

Doc

Doc

Doc

Doc

Doc

Doc

SERVER 3

Doc 6

DISKDISK

Couchbase Cluster

ES SERVER 1

Elasticsearch Cluster

18

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18

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18

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18

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ES SERVER 2 ES SERVER 3

CouchbaseCouchbaseTransport Transport

PluginPlugin


PluginPlugin


PluginPlugin

DEMO

Demo: Data for Social Game

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

Gameplay:• Players fight monsters•Monsters drop items• Players own items

Player Document

{"jsonType": "player","uuid": "35767d02-a958-4b83-8179-616816692de1","name": "Keith4540","hitpoints": 75,"experience": 663,"level": 4,"loggedIn": false

}

Player ID

Item Document

{"jsonType": "item","name": "Katana_e5890c94-11c6-65746ce6c560","uuid": "e5890c94-11c6-4856-a7a6-65746ce6c560","ownerId": "Dale9887"

}

Item ID

Player ID

Monster Document

{"jsonType": "monster","name": "Bauchan9932","uuid": "d10dfc1b-0412-4140-b4ec-affdbf2aa5ec","hitpoints": 370,"experienceWhenKilled": 52,"itemProbability": 0.5050581341872865

}

Monster ID

Official SDKs

Community SDKs

www.couchbase.com/develop

PythonRuby

Go Clojure

Q & A

Thank [email protected]

@anilkumar1129

Get Couchbase Server at http://www.couchbase.com/downloa

d

Technology

Webinar - Introduction to Couchbase Server