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Mumps the Internet scale database

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Information about Mumps the Internet scale database

Published on August 22, 2008

Author: george.james

Source: slideshare.net

Description

Mumps - The Internet Scale Database
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Mumps The Internet-scale Database Rob Tweed M/Gateway Developments Ltd & George James George James Software

Introduction What’s Mumps? A relatively little-known non-relational database technology Available in both proprietary and free, open source versions Why is it becoming interesting? Its core features perfectly meet today’s needs for Internet-scale databases It’s a tried and tested technology

What’s Mumps?

A relatively little-known non-relational database technology

Available in both proprietary and free, open source versions

Why is it becoming interesting?

Its core features perfectly meet today’s needs for Internet-scale databases

It’s a tried and tested technology

Internet-scale database challenges Rapid growth and unpredictable demand Low cost Low maintenance Ultra-high reliability and resilience Flexibility Simplicity Ultra-high performance

Rapid growth and unpredictable demand

Low cost

Low maintenance

Ultra-high reliability and resilience

Flexibility

Simplicity

Ultra-high performance

Internet-scale database challenges Rapid growth and unpredictable demand Scale from no activity to sudden huge demand (Slashdot, Digg, TechCrunch) Disaster brought on by success Daily/seasonal spikes

Rapid growth and unpredictable demand

Scale from no activity to sudden huge demand (Slashdot, Digg, TechCrunch)

Disaster brought on by success

Daily/seasonal spikes

Internet-scale database challenges Low cost At startup: No traffic, no revenue Uncertain future: Little traffic? Massive success? Proprietary databases are too expensive mySQL and Postgres have become the default choices If successful: Must be able to scale, but at low incremental cost Budgets are tight Ideally free and open source

Low cost

At startup:

No traffic, no revenue

Uncertain future:

Little traffic?

Massive success?

Proprietary databases are too expensive

mySQL and Postgres have become the default choices

If successful:

Must be able to scale, but at low incremental cost

Budgets are tight

Ideally free and open source

Internet-scale database challenges Low maintenance Quick and simple to get started DBA resources are expensive Downtime for tuning: At best annoying At worst highly disruptive and costly Ideally fire up and forget! Photo: © Gerrit van Aaken CC-BY 2.0

Low maintenance

Quick and simple to get started

DBA resources are expensive

Downtime for tuning:

At best annoying

At worst highly disruptive and costly

Ideally fire up and forget!

Internet-scale database challenges Ultra-high reliability and resilience The Net works 24 x 7 So must your applications! Redundancy and replication Load balancing Hardware hot-swapping

Ultra-high reliability and resilience

The Net works 24 x 7

So must your applications!

Redundancy and replication

Load balancing

Hardware hot-swapping

Internet-scale database challenges Flexibility Impossible to design everything perfectly at the outset Requirements evolve and expand Database redesign: Must not be costly Must not be time-consuming Cannot be “painted into a corner” by your DBMS

Flexibility

Impossible to design everything

perfectly at the outset

Requirements evolve and expand

Database redesign:

Must not be costly

Must not be time-consuming

Cannot be “painted into a corner”

by your DBMS

Internet-scale database challenges Simplicity Less moving parts is always a better option Associated running costs Maintenance implications Reliability concerns Speed of development Initial (time to market) Ongoing (reactivity to market)

Simplicity

Less moving parts is always a better option

Associated running costs

Maintenance implications

Reliability concerns

Speed of development

Initial (time to market)

Ongoing (reactivity to market)

Internet-scale database challenges Ultra-high performance Massive potential concurrent users Maximum throughput Minimum hardware Capital/revenue costs Energy costs CO 2 emissions Costs of physical space

Ultra-high performance

Massive potential concurrent users

Maximum throughput

Minimum hardware

Capital/revenue costs

Energy costs

CO 2 emissions

Costs of physical space

Does anything fit the bill?

Relational? Rapid growth and unpredictable demand Scalability at high end is generally recognised as problematic Low cost Proprietary RDBMS too costly Heavy hardware requirements Low maintenance DBA essential and retuning constantly required Ultra-high reliability and resilience At a cost! Flexibility RDBMS schemas are too rigid Getting the initial design wrong could be expensive or fatal Schema migration is impractical without downtime Simplicity Most RDBMS are complex beasts Ultra-high performance Perhaps, but only at eye-wateringly high cost The relational table model does not naturally fit much of the data on the Net

Rapid growth and unpredictable demand

Scalability at high end is generally recognised as problematic

Low cost

Proprietary RDBMS too costly

Heavy hardware requirements

Low maintenance

DBA essential and retuning constantly required

Ultra-high reliability and resilience

At a cost!

Flexibility

RDBMS schemas are too rigid

Getting the initial design wrong could be expensive or fatal

Schema migration is impractical without downtime

Simplicity

Most RDBMS are complex beasts

Ultra-high performance

Perhaps, but only at eye-wateringly high cost

The relational table model does not naturally fit much of the data on the Net

Alternatives? These demands have stimulated the emergence of “new kids on the block”: Amazon simpleDB couchDB objectKitchen strokeDB dovetailDB Poseidon Google BigTable

These demands have stimulated the emergence of “new kids on the block”:

Amazon simpleDB

couchDB

objectKitchen

strokeDB

dovetailDB

Poseidon

Google BigTable

Tried and tested? Will these scale? Are they cost-effective at low and high scales? Are they robust, resilient and reliable enough? Will they allow automated recovery? Will they protect against database corruption if the service is disrupted?

Will these scale?

Are they cost-effective at low and high scales?

Are they robust, resilient and reliable enough?

Will they allow automated recovery?

Will they protect against database corruption if the service is disrupted?

Emerging features These alternatives all exhibit features that buck the established RDBMS trend: Schemaless and/or Hierarchical

These alternatives all exhibit features that buck the established RDBMS trend:

Schemaless and/or

Hierarchical

Schemaless database benefits High-speed development No schema migration required Flexibility Agility = reactivity to market requirements Dynamic extension of database structures Reduced baggage = higher performance

High-speed development

No schema migration required

Flexibility

Agility = reactivity to market requirements

Dynamic extension of database structures

Reduced baggage = higher performance

Hierarchical database benefits Natural mapping to XML and JSON Easy to navigate Easy to code against Associated data is clustered naturally leading to high performance B-tree implementations derive extremely high performance Easy to partition across multiple devices

Natural mapping to XML and JSON

Easy to navigate

Easy to code against

Associated data is clustered naturally

leading to high performance

B-tree implementations

derive extremely high performance

Easy to partition across multiple devices

Why re-invent the wheel?

Mumps Tried and tested In production use for over 30 years across the world Has quietly and reliably underpinned healthcare and financial services Schemaless Hierarchical Proven high performance Proven reliabilty Two main implementations: GT.M (open source) Cach é (proprietary)

Tried and tested

In production use for over 30 years across the world

Has quietly and reliably underpinned healthcare and financial services

Schemaless

Hierarchical

Proven high performance

Proven reliabilty

Two main implementations:

GT.M (open source)

Cach é (proprietary)

Mumps is Internet-scale Rapid growth and unpredictable demand Massively scalable Already meeting the needs of huge user-bases Low cost GT.M is free Exceptionally efficient use of hardware resources Low maintenance No DBA requirement and no need for constant tuning Non-stop, lights-out operation Ultra-high reliability and resilience Tried and tested to meet the demands of large healthcare and financial services organisations Flexibility Schemaless model = dynamic ongoing change without disruptive redesign and rebuilding Extremely fast development and maintenance Simplicity Hierarchical database model naturally fits the modern XML and JSON-oriented view of data Ultra-high performance Mumps systems are renowned for astonishing levels of performance and throughput 50% to 100% faster than many conventional databases Much less hardware = less cost, less CO 2

Rapid growth and unpredictable demand

Massively scalable

Already meeting the needs of huge user-bases

Low cost

GT.M is free

Exceptionally efficient use of hardware resources

Low maintenance

No DBA requirement and no need for constant tuning

Non-stop, lights-out operation

Ultra-high reliability and resilience

Tried and tested to meet the demands of large healthcare and financial services organisations

Flexibility

Schemaless model = dynamic ongoing change without disruptive redesign and rebuilding

Extremely fast development and maintenance

Simplicity

Hierarchical database model naturally fits the modern XML and JSON-oriented view of data

Ultra-high performance

Mumps systems are renowned for astonishing levels of performance and throughput

50% to 100% faster than many conventional databases

Much less hardware = less cost, less CO 2

Mumps is freedom Dynamic free-form nature of the schemaless, hierarchical database Raw, flexible palette on which you can build your own value-added layers Unconstrained by the rigours of the relational model A natural fit for the hierarchical structures in XML and JSON

Dynamic free-form nature of the schemaless, hierarchical database

Raw, flexible palette on which you can build your own value-added layers

Unconstrained by the rigours of the relational model

A natural fit for the hierarchical structures in XML and JSON

Mumps is open Interoperates and integrates with any other language Cach é Built-in connectors for Java, .Net and web services Built-in XML support GT.M M/Gateway’s MGWSI gateway provides integration with: PHP, Java, .Net, Ruby, Python, Perl web services and REST M/Gateway’s eXtc and EWD products provide XML and JSON support Also has its own built-in scripting language

Interoperates and integrates with any other language

Cach é

Built-in connectors for Java, .Net and web services

Built-in XML support

GT.M

M/Gateway’s MGWSI gateway provides integration with:

PHP, Java, .Net, Ruby, Python, Perl

web services and REST

M/Gateway’s eXtc and EWD products provide XML and JSON support

Also has its own built-in scripting language

Mumps is here GT.M http://www.fis-gtm.com Cach é http://www.intersystems.com Background information http://en.wikipedia.org/wiki/MUMPS http://www.mgateway.com http://gradvs1.mgateway.com/download/extreme1.pdf http://www.georgejames.com

GT.M

http://www.fis-gtm.com

Cach é

http://www.intersystems.com

Background information

http://en.wikipedia.org/wiki/MUMPS

http://www.mgateway.com

http://gradvs1.mgateway.com/download/extreme1.pdf

http://www.georgejames.com

Mumps The tried-and-tested Internet-scale database

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