These days, more and more software applications are designed using a micro services architecture, that is, as suites of independently deployable services, talking to each other with well-defined interfaces. This approach is helped by the fact that many NoSQL databases expose their API through HTTP, which makes it particularly easy to define the interfaces.
The multi-model NoSQL database ArangoDB embeds Google's V8 JavaScript engine and features the Foxx framework, which allows the developer to extend ArangoDB's API by user defined JavaScript code that runs on the database server.
In this talk I will explain the benefits of this approach to the software architecture and development process. I will keep the presentation practice oriented by showing concrete examples in ArangoDB and JavaScript, using Backbone.js
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Backbone using Extensible Database APIs over HTTP
1. Backbone with extensible
Database APIs and their role
in Software Architecture
Max Neunhöffer
Backbone.js Hackers SF, 18 March 2015
www.arangodb.com
2. Our motivation and background
triAGENS (mother company of ArangoDB GmbH)
founded in 2004
now 15 years of experience in building databases:
in-memory Stock Information System (∼ 2000)
OLAP business intelligence software,
in-memory hyper-cube database architecture (2006)
high-security session service for e-Post Brief
(German Postal Service, 2010)
made NoSQL solutions long before the term existed
We care about database technology!
In 2012 we wanted to make a generic database
such that YOU can build such services.
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3. Typical structure of an application
Database ←→ App Server ←→ Browser
←→ Mobile App
(keeps state) (is stateless) (on user’s machine)
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5. Agile development
Facts of life as a software developer/architect
Software grows, we release frequently and quickly, give
rapid feedback, one learns as one goes.
In the beginning . . .
the data schema is unclear
the scope of the app is unclear
the list of front end devices is unclear
protocols are not yet sorted out
performance bottlenecks are unknown
security requirements and problems are unclear
All these are good things!
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6. Microservices
These days, everybody talks about microservices:
http://martinfowler.com/articles/microservices.html
Features of a microservice architecture
It is a “particular way of designing software app-
lications as suites of independently deployable
services.”
We cut the application into services,
built around business capabilities. They are
independently deployable (fully automatically!)
have well-defined interfaces (often via REST/HTTP),
and typically run in their own process.
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7. Initial phase: hack away, rapid prototyping
Features:
focused on quick results
the database schema keeps changing
performance does not really matter
the user interface undergoes many changes
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8. Consolidation phase
Features:
home in on protocols, stabilize them
schema stabilizes
maybe more devices and different front-ends
start to think about security
observe first performance problems
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9. Polishing phase
Features:
quality becomes more important
security as well
we know, which front-ends must be supported
the protocols are fixed and documented
the schema is fixed, we want to enforce it
performance matters
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10. The role of the Database
early late
schema:
flexible, quick results enforcement
protocol:
use standard API use specialized services
authorization:
does not matter matters greatly (want to be flexible)
security:
does not matter matters greatly (want to be hardened)
performance:
does not matter mission critical
(no real example data) (have a lot of data)
Conclusion: DB needs to change!
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11. WANTED: (better alive than dead)
a smart database
that can be adapted over time
whose API is extensible
can run performance critical complex queries in the DB,
expose them as data-centric microservices via REST
has configurable consistency
has configurable security features
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12. is a multi-model database (document store & graph database),
is open source and free (Apache 2 license),
offers convenient queries (via HTTP/REST and AQL),
including joins between different collections,
configurable consistency guarantees using transactions
is memory efficient by shape detection,
uses JavaScript throughout (Google’s V8 built into server),
API extensible by JS code in the Foxx Microservice Framework,
offers many drivers for a wide range of languages,
has web front end (using backbone.js!),
and enjoys good community as well as professional support.
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13. Extensible through JavaScript and Foxx
The HTTP API of ArangoDB
can be extended by user-defined JavaScript code,
that is executed in the DB server for high performance.
This is formalised by the Foxx microservice framework,
which allows to implement complex, user-defined APIs with
direct access to the DB engine.
Very flexible and secure authentication schemes can be
implemented conveniently by the user in JavaScript.
Because JavaScript runs everywhere (in the DB server as well
as in the browser), one can use the same libraries in the
back-end and in the front-end.
=⇒ can implement your own data-centric microservices
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