introduction to reactive
DESCRIPTION
The slides from the first Boston Reactive Software Meetup: Introduction to ReactiveTRANSCRIPT
Boston Reactive Software Meetup
Presented by !
Steven Pember Principal Consultant , Technical Architect at Cantina
David Fox Principal Consultant , Technical Architect at Cantina
Introduction to Reactive
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What is Reactive?
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What is Reactive?A buzzword
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What is Reactive?A popular (comp) science buzzword
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Written by Jonas Bonér with contributions by Erik Meijer, Martin Odersky, Greg Young, Martin Thompson, Roland Kuhn, James Ward and Guillaume Bort.
The Reactive Manifesto
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1. WAY more traffic than just a few years ago
2. Users expect immediate response
3. Need 100% uptime
4. Large amounts of data
5. Need better models of concurrency
6. Old models like servlet showing their age
tl;dr
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These are the traits they use to describe this class of software.
The Four Traits
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Note how they play off one another to form a cohesive whole
The Four Traits
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There should really be a couple more traits…
The Missing Traits
changeable
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There should really be a couple more traits…
The Missing Traits
changeable
managable
not just from Typesafe!
Reactive Technologies
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These are all “Reactive” technologies
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These are all “Reactive” technologiesReactive isn’t about particular technologies,
it’s a holistic view of application architecture to support the needs of the current generation of applications
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As developers, we need to see the whole picture of the application, from the front-end to the back-end. It’s
not enough to just use a “reactive framework”.
HTTP for Akka Actors
Spray Framework
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• De-facto Actor implementation for Scala
• Replaced Scala’s actor implementation
• Team wanted to keep Scala smaller
• Better as a separate framework
• Used as basis of Play and Spray and many
other frameworks
Akka
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• Invented in 1973 by Carl Hewitt, Peter
Bishop, and Richard Steiger at MIT's AI lab
• A design pattern for concurrency
• Encapsulates state and behavior
• Alleviates the need for locks
• Allows work to be scheduled fairly
Actor Model
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How do actors work?
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Message is placed into the actor’s mailbox
Actor Receives Message
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The actor system’s scheduler schedules the actor to run in a thread. !
The actor processes a message according to its behavior
Actor Scheduled
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The actor state is modified. !
The scheduler will continue to fairly schedule the actor to run while its mailbox has messages.
Execution Complete
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Akka’s actors also have supervision strategies for failure
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• By default, when an actor crashes, it will simply be restarted by the system !
• Other strategies can be employed such as: • Resume keeping state • Resume clearing state • Terminate the actor permanently • Escalate, failing the supervising actor
Supervision
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• Finite state machine mixin • Typed actor proxy for integration with non-
actor-based code • Location transparency / clustering • Support for event/command sourcing
Other Features
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What Are the Drawbacks?• Programming with actors is more difficult • Type safety is lost • Not as easy to compose
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• Synchronization constructs/patterns
• Allow use of values which will be eventually
available at a later point in time
• Terms sometimes used interchangeably
• A promise is a container to write a value to
• A future is a handle used to read that value
Promises & Futures
Live coding demo
Spray Framework
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