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Introduction to
Couchbase Server
Dipti Borkar
Director, Product Management
Anil Kumar
Product Management
Couchbase Server
NoSQL Document Database
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
Couchbase Server
Easy
Scalability
Grow cluster without
application changes, without
downtime with a single click

Always On
24x365
No downtime for software
upgrades, hardware
maintenance, etc.

PE
RFORM ANCE

Consistent High
Performance

Consistent sub-millisecond
read and write response times
with consistent high throughput

JSON
JSON JSO

JSON
JSON

N

Flexible Data
Model

JSON document model with
no fixed schema.
Core Couchbase Server Features

Built-in clustering – All nodes equal

Append-only storage layer

Data replication with auto-failover

Online compaction

Zero-downtime maintenance

Monitoring and admin API & UI

Built-in managed cached

SDK for a variety of languages
2.0 introduced
JSON support

Indexing and Querying

JSON
JSON JSO

JSON N
JSON

Incremental Map Reduce

Cross data center replication
2.1 introduced

New in 2.2

 Multi-threaded persistence
engine

 New XDCR protocol based
on memcached

 Optimistic XDCR

 Read-only admin user

 CBHealthcheck – Cluster
health check tool

 Automated and optimized
purge management

 Hostname management

 CBRecovery Data recovery
tool from remote clusters

 Rebalance progress
indicators

 Non-root, non-sudo install
Couchbase Server Architecture
11211

11210

Query API

Memcapable 1.0

Memcapable 2.0

New Persistence Layer

vBucket state and replication manager

Node health monitor

Rebalance orchestrator

storage interface

Global singleton supervisor

Data Manager

Configuration manager

Couchbase EP Engine

Process monitor

Memcached

Heartbeat

Moxi
REST management API/Web UI

Query Engine

8092

Cluster Manager

http

on each node

one per cluster

Erlang/OTP

HTTP

Erlang port mapper

Distributed Erlang

8091

4369

21100 - 21199
Couchbase Server Architecture

Query Engine

Query API

11210 / 11211

8091
Admin Console

Data access ports

http

Object-managed
Cache

Erlang /OTP

8092

REST management
API/Web UI
Replication, Rebalance,
Shard State Manager

Multi-threaded
Persistence Engine

Data Manager

Cluster Manager
Couchbase Operations
Single node - Couchbase Write
Operation
Doc 1

App Server

Couchbase Server Node
3
2
Managed Cache
Replication
Queue

Disk

Doc 1

Disk Queue

To other node

3
Single node - Couchbase Update
Operation
Doc 1’

App Server

Couchbase Server Node
3
2
Managed Cache
Replication
Queue

Doc 1
Doc 1’

Disk Queue

To other node

3

Disk
Doc 1
GET
Doc 1

Single node - Couchbase Read
Operation
App Server

Couchbase Server Node
3
2
Managed Cache
Replication
Queue

Doc 1

Disk Queue

To other node

3

Disk
Doc 1
Single node – Couchbase Cache Miss
GET
Doc 1

2
App Server

3
2
Managed Cache
Replication
Queue

Doc 5 4 4
Doc
Doc

Doc 1

Doc
Doc 3 2

Disk Queue

To other node

Disk
Doc 1

Doc 6

Doc 5

Doc 4

Doc 3

3

Doc 2

Couchbase Server Node
Basic Operation
APP SERVER 1

APP SERVER 2

COUCHBASE Client Library

COUCHBASE Client Library

CLUSTER MAP

CLUSTER MAP

READ/WRITE/UPDATE
SERVER 1

SERVER 2

SERVER 3

ACTIVE

ACTIVE

ACTIVE

Doc 5

Doc

Doc 4

Doc

Doc 1

Doc

Doc 2

Doc

Doc 7

Doc

Doc 2

Doc

Doc 9

Doc

Doc 8

Doc

Doc 6

Doc

REPLICA

REPLICA

REPLICA

• Docs distributed evenly across
servers
• Each server stores both active and
replica docs
Only one server active at a time

• Client library provides app with
simple interface to database
• Cluster map provides map
to which server doc is on

Doc 4

Doc

Doc 6

Doc

Doc 7

Doc

Doc 1

Doc

Doc 3

Doc

Doc 9

Doc

• App reads, writes, updates docs

Doc 8

Doc

Doc 2

Doc

Doc 5

Doc

• Multiple app servers can access same
document at same time

COUCHBASE SERVER CLUSTER

User Configured Replica Count = 1

App never needs to know
Add Nodes to Cluster
APP SERVER 1

APP SERVER 2

COUCHBASE Client Library

COUCHBASE Client Library

CLUSTER MAP

CLUSTER MAP

READ/WRITE/UPDATE

READ/WRITE/UPDATE

SERVER 1

SERVER 2

SERVER 3

SERVER 4

SERVER 5

ACTIVE

ACTIVE

ACTIVE

ACTIVE

ACTIVE

Doc 5

Doc

Doc 4

Doc

Doc 1

Doc

Doc 7

Doc

Doc 2

Doc

Doc 9

Doc

Doc 8

Doc

Doc 6

• Docs automatically
rebalanced across
cluster

Doc

Doc 2

• Two servers added
One-click operation

Doc

Even distribution of docs
Minimum doc movement

• Cluster map updated
REPLICA

REPLICA

REPLICA

Doc 4

Doc

Doc 6

Doc

Doc 7

Doc

Doc 1

Doc

Doc 3

Doc

Doc 9

Doc

Doc 8

Doc

Doc 2

Doc

Doc 5

Doc

COUCHBASE SERVER CLUSTER

User Configured Replica Count = 1

REPLICA

REPLICA

• App database
calls now distributed
over larger number of
servers
Fail Over Node
APP SERVER 1

APP SERVER 2

COUCHBASE Client Library

COUCHBASE Client Library

CLUSTER MAP

CLUSTER MAP

SERVER 1

SERVER 2

SERVER 3

SERVER 4

SERVER 5

ACTIVE

ACTIVE

ACTIVE

ACTIVE

ACTIVE

Doc 5

Doc

Doc 4

Doc

Doc 1

Doc

Doc 9

Doc

Doc 2

Doc

Doc 7

Doc

Doc 2

Doc

Doc 8

Doc

Doc 1

Doc 6

Doc
Doc

Doc 3

REPLICA

REPLICA

REPLICA

REPLICA

Doc 4

Doc

Doc 6

Doc

Doc 7

Doc

Doc 5

Doc 1

Doc

Doc 3

Doc

Doc 9

Doc

Doc 2

COUCHBASE SERVER CLUSTER

User Configured Replica Count = 1

Doc

REPLICA

Doc 8

Doc

Doc

• App servers accessing docs
• Requests to Server 3 fail

• Cluster detects server failed
Promotes replicas of docs to
active
Updates cluster map

• Requests for docs now go to
appropriate server
• Typically rebalance
would follow
Demo Time
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
Indexing and Querying
APP SERVER 1

APP SERVER 2

COUCHBASE Client Library

COUCHBASE Client Library

CLUSTER MAP

CLUSTER MAP

Query
SERVER 1

SERVER 2

ACTIVE

ACTIVE

SERVER 3
ACTIVE

• Indexing work is distributed
amongst nodes

Doc 5

Doc

Doc 5

Doc

Doc 5

Doc

• Large data set possible

Doc 2

Doc

Doc 2

Doc

Doc 2

Doc

• Parallelize the effort

Doc 9

Doc

Doc 9

Doc

Doc 9

Doc

REPLICA

REPLICA

REPLICA

Doc 4

Doc

Doc 4

Doc

Doc 4

Doc

Doc 1

Doc

Doc 1

Doc

Doc 1

Doc

Doc 8

Doc

Doc 8

Doc

Doc 8

Doc

COUCHBASE SERVER CLUSTER

User Configured Replica Count = 1

• Each node has index for data stored
on it
• Queries combine the results from
required nodes
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
Cross data center replication – Data flow
2
Doc 1

App Server

Couchbase Server Node

3
2
Managed Cache
Replication
Queue

Doc 1

Disk Queue

To other node

3

Disk
Doc 1

XDCR Engine
To other cluster
Cross Data Center Replication (XDCR)
Optimistic replication
Couchbase Server – San Francisco
SERVER 1

SERVER 2

SERVER 3

Per replication
Tunable Parameters

Couchbase Server – New York
SERVER 1

SERVER 2

Optimized protocol
based on memcached
Reliability and
performance at scale

SERVER 3
Demo Time
What’s else is New?
Couchbase Query Language

N1QL
Read “Nickel”

Our next generation query
language for JSON
In Dev Preview
Couchbase Server

www.couchbase.com/download
Thank you!
anil@couchbase.com
@anilkumar1129
Download Couchbase Server 2.2
http://www.couchbase.com/download
Introduction to couchbase
Ad

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Introduction to couchbase

  • 1. Introduction to Couchbase Server Dipti Borkar Director, Product Management Anil Kumar Product Management
  • 3. 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
  • 4. Couchbase Server Easy Scalability Grow cluster without application changes, without downtime with a single click Always On 24x365 No downtime for software upgrades, hardware maintenance, etc. PE RFORM ANCE Consistent High Performance Consistent sub-millisecond read and write response times with consistent high throughput JSON JSON JSO JSON JSON N Flexible Data Model JSON document model with no fixed schema.
  • 5. Core Couchbase Server Features Built-in clustering – All nodes equal Append-only storage layer Data replication with auto-failover Online compaction Zero-downtime maintenance Monitoring and admin API & UI Built-in managed cached SDK for a variety of languages
  • 6. 2.0 introduced JSON support Indexing and Querying JSON JSON JSO JSON N JSON Incremental Map Reduce Cross data center replication
  • 7. 2.1 introduced New in 2.2  Multi-threaded persistence engine  New XDCR protocol based on memcached  Optimistic XDCR  Read-only admin user  CBHealthcheck – Cluster health check tool  Automated and optimized purge management  Hostname management  CBRecovery Data recovery tool from remote clusters  Rebalance progress indicators  Non-root, non-sudo install
  • 8. Couchbase Server Architecture 11211 11210 Query API Memcapable 1.0 Memcapable 2.0 New Persistence Layer vBucket state and replication manager Node health monitor Rebalance orchestrator storage interface Global singleton supervisor Data Manager Configuration manager Couchbase EP Engine Process monitor Memcached Heartbeat Moxi REST management API/Web UI Query Engine 8092 Cluster Manager http on each node one per cluster Erlang/OTP HTTP Erlang port mapper Distributed Erlang 8091 4369 21100 - 21199
  • 9. Couchbase Server Architecture Query Engine Query API 11210 / 11211 8091 Admin Console Data access ports http Object-managed Cache Erlang /OTP 8092 REST management API/Web UI Replication, Rebalance, Shard State Manager Multi-threaded Persistence Engine Data Manager Cluster Manager
  • 11. Single node - Couchbase Write Operation Doc 1 App Server Couchbase Server Node 3 2 Managed Cache Replication Queue Disk Doc 1 Disk Queue To other node 3
  • 12. Single node - Couchbase Update Operation Doc 1’ App Server Couchbase Server Node 3 2 Managed Cache Replication Queue Doc 1 Doc 1’ Disk Queue To other node 3 Disk Doc 1
  • 13. GET Doc 1 Single node - Couchbase Read Operation App Server Couchbase Server Node 3 2 Managed Cache Replication Queue Doc 1 Disk Queue To other node 3 Disk Doc 1
  • 14. Single node – Couchbase Cache Miss GET Doc 1 2 App Server 3 2 Managed Cache Replication Queue Doc 5 4 4 Doc Doc Doc 1 Doc Doc 3 2 Disk Queue To other node Disk Doc 1 Doc 6 Doc 5 Doc 4 Doc 3 3 Doc 2 Couchbase Server Node
  • 15. Basic Operation APP SERVER 1 APP SERVER 2 COUCHBASE Client Library COUCHBASE Client Library CLUSTER MAP CLUSTER MAP READ/WRITE/UPDATE SERVER 1 SERVER 2 SERVER 3 ACTIVE ACTIVE ACTIVE Doc 5 Doc Doc 4 Doc Doc 1 Doc Doc 2 Doc Doc 7 Doc Doc 2 Doc Doc 9 Doc Doc 8 Doc Doc 6 Doc REPLICA REPLICA REPLICA • Docs distributed evenly across servers • Each server stores both active and replica docs Only one server active at a time • Client library provides app with simple interface to database • Cluster map provides map to which server doc is on Doc 4 Doc Doc 6 Doc Doc 7 Doc Doc 1 Doc Doc 3 Doc Doc 9 Doc • App reads, writes, updates docs Doc 8 Doc Doc 2 Doc Doc 5 Doc • Multiple app servers can access same document at same time COUCHBASE SERVER CLUSTER User Configured Replica Count = 1 App never needs to know
  • 16. Add Nodes to Cluster APP SERVER 1 APP SERVER 2 COUCHBASE Client Library COUCHBASE Client Library CLUSTER MAP CLUSTER MAP READ/WRITE/UPDATE READ/WRITE/UPDATE SERVER 1 SERVER 2 SERVER 3 SERVER 4 SERVER 5 ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE Doc 5 Doc Doc 4 Doc Doc 1 Doc Doc 7 Doc Doc 2 Doc Doc 9 Doc Doc 8 Doc Doc 6 • Docs automatically rebalanced across cluster Doc Doc 2 • Two servers added One-click operation Doc Even distribution of docs Minimum doc movement • Cluster map updated REPLICA REPLICA REPLICA Doc 4 Doc Doc 6 Doc Doc 7 Doc Doc 1 Doc Doc 3 Doc Doc 9 Doc Doc 8 Doc Doc 2 Doc Doc 5 Doc COUCHBASE SERVER CLUSTER User Configured Replica Count = 1 REPLICA REPLICA • App database calls now distributed over larger number of servers
  • 17. Fail Over Node APP SERVER 1 APP SERVER 2 COUCHBASE Client Library COUCHBASE Client Library CLUSTER MAP CLUSTER MAP SERVER 1 SERVER 2 SERVER 3 SERVER 4 SERVER 5 ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE Doc 5 Doc Doc 4 Doc Doc 1 Doc Doc 9 Doc Doc 2 Doc Doc 7 Doc Doc 2 Doc Doc 8 Doc Doc 1 Doc 6 Doc Doc Doc 3 REPLICA REPLICA REPLICA REPLICA Doc 4 Doc Doc 6 Doc Doc 7 Doc Doc 5 Doc 1 Doc Doc 3 Doc Doc 9 Doc Doc 2 COUCHBASE SERVER CLUSTER User Configured Replica Count = 1 Doc REPLICA Doc 8 Doc Doc • App servers accessing docs • Requests to Server 3 fail • Cluster detects server failed Promotes replicas of docs to active Updates cluster map • Requests for docs now go to appropriate server • Typically rebalance would follow
  • 19. 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
  • 20. Indexing and Querying APP SERVER 1 APP SERVER 2 COUCHBASE Client Library COUCHBASE Client Library CLUSTER MAP CLUSTER MAP Query SERVER 1 SERVER 2 ACTIVE ACTIVE SERVER 3 ACTIVE • Indexing work is distributed amongst nodes Doc 5 Doc Doc 5 Doc Doc 5 Doc • Large data set possible Doc 2 Doc Doc 2 Doc Doc 2 Doc • Parallelize the effort Doc 9 Doc Doc 9 Doc Doc 9 Doc REPLICA REPLICA REPLICA Doc 4 Doc Doc 4 Doc Doc 4 Doc Doc 1 Doc Doc 1 Doc Doc 1 Doc Doc 8 Doc Doc 8 Doc Doc 8 Doc COUCHBASE SERVER CLUSTER User Configured Replica Count = 1 • Each node has index for data stored on it • Queries combine the results from required nodes
  • 21. 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
  • 22. Cross data center replication – Data flow 2 Doc 1 App Server Couchbase Server Node 3 2 Managed Cache Replication Queue Doc 1 Disk Queue To other node 3 Disk Doc 1 XDCR Engine To other cluster
  • 23. Cross Data Center Replication (XDCR) Optimistic replication Couchbase Server – San Francisco SERVER 1 SERVER 2 SERVER 3 Per replication Tunable Parameters Couchbase Server – New York SERVER 1 SERVER 2 Optimized protocol based on memcached Reliability and performance at scale SERVER 3
  • 26. Couchbase Query Language N1QL Read “Nickel” Our next generation query language for JSON In Dev Preview
  • 28. Thank you! [email protected] @anilkumar1129 Download Couchbase Server 2.2 http://www.couchbase.com/download