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Practical Reactive Streams with Akka
Implement asynchronous, non-blocking reactive streams with backpressure
contains 8.5 hours of video - equivalent to 2 days of live training.
- This course will show you how to use Akka to build asynchronous, non-blocking reactive streams with back-pressure.
- Using practical examples we'll cover both the simple API and the GraphDSL.
- Learn how to correctly implement asynchronous boundaries, parallelism, integration with Akka Actors, and more.
Contents
Having problems? check the errata
Introduction |
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| What are reactive streams? 11m 39s | Preview | |
Creating our first stream |
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| A note about external sources 1m 29s | Watch | |
| Using the Akka libraries 8m 11s | Watch | |
| Creating a source 4m 52s | Watch | |
| Creating a sink 3m 55s | Watch | |
| Creating a flow 4m 20s | Watch | |
| Building and running a graph 7m 12s | Watch | |
Simple Sources and Sinks |
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| Finite Sources 6m 3s | Watch | |
| Infinite Sources 7m 42s | Watch | |
| Basic source operators 4m 5s | Watch | |
| Creating sinks 2m 59s | Watch | |
| Graph convenience methods 5m 43s | Watch | |
Simple Flows |
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| Map and Filter 6m 56s | Watch | |
| MapConcat 4m 12s | Watch | |
| Grouped 2m 8s | Watch | |
| Flows of generic data types 10m 41s | Watch | |
| Combining flows with sinks and sources 9m 20s | Watch | |
Exercise 1 - Big Primes |
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| Exercise 2m 42s | Watch | |
| Walkthrough 10m 17s | Watch | |
Materialized values |
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| What are materialized values? 8m 46s | Watch | |
| The fold method and selecting a materialized value for the graph 10m 19s | Watch | |
| Terminating the actor system 3m 32s | Watch | |
| The reduce method 3m 56s | Watch | |
Stream lifecycles |
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| Re-using graph objects 2m 31s | Watch | |
| Converting infinite streams to finite streams with take and limit 4m 38s | Watch | |
| The takeWhile and takeWithin functions 5m 0s | Watch | |
Logging |
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| Logging elements in a stream 9m 58s | Watch | |
Back pressure and graph performance |
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| Asynchronous boundaries 10m 25s | Watch | |
| Introducing back-pressure 5m 40s | Watch | |
| Adding buffers to the graph 6m 28s | Watch | |
| Other overflow strategies 3m 42s | Watch | |
| Parallelism 9m 41s | Watch | |
Exercise 2 |
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| Instructions to create an optimised graph with a materalised value 12m 3s | Watch | |
The GraphDSL |
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| Why do we need the GraphDSL? 3m 45s | Watch | |
| Introducing the GraphDSL Syntax 5m 12s | Watch | |
| Constructing a simple Graph using the GraphDSL 14m 20s | Watch | |
| Understanding the Graph Construction and introducing Asynchronous Boundaries 11m 30s | Watch | |
Complex flow types |
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| Introducing fan-in and fan-out shapes 3m 42s | Watch | |
| Broadcast and merge 18m 38s | Watch | |
| Using Balance for parallelilsm 14m 48s | Watch | |
| Exercise 3 - implementing parallelism in GraphDSL 5m 15s | Watch | |
| Uniform fan-in and fan-out shapes 12m 40s | Watch | |
| Non uniform fan-in and fan-out shapes 17m 51s | Watch | |
Graphs with multiple sources and sinks |
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| Combining sources with a fan-in shape 18m 20s | Watch | |
| Sending to an interim sink with alsoTo 5m 26s | Watch | |
| Diverting outliers to a different sink with divertTo 10m 50s | Watch | |
Non-runnable or partial graphs |
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| Creating and combining open shapes 15m 20s | Watch | |
| Using open shapes outside the graphDSL 2m 32s | Watch | |
Using actors in graphs |
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| Adding an actor to our project 5m 37s | Watch | |
| Using actors as flows 8m 38s | Watch | |
| Using actors as sinks 7m 50s | Watch | |
Advanced backpressure |
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| Conflate 14m 0s | Watch | |
| Extrapolate and expand 5m 58s | Watch | |
The java flow package |
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| Java's reactive streams interfaces 17m 7s | Watch | |
Case Study - Blockchain mining |
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| Introducing the case study 19m 4s | Watch | |
| Exercise 4 - receive transactions with backpressure 5m 20s | Watch | |
| Walkthrough 5m 6s | Watch | |
| Exercise 5 - mine using actors and apply the result 2m 40s | Watch | |
| Walkthrough 8m 5s | Watch | |
| Creating a circular graph 18m 13s | Watch | |
APPENDIX |
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| A simple introduction to blockchains 8m 36s | Watch | |