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Code used in "Pro Spark Streaming: The Zen of Real-time Analytics using Apache Spark" published by Apress Publishing.

License: Apache License 2.0

Scala 79.47% Java 19.18% Python 0.52% Shell 0.08% R 0.76%

prosparkstreaming's Introduction

Pro Spark Streaming

Code used in "Pro Spark Streaming: The Zen of Real-time Analytics using Apache Spark" published by Apress Publishing.

ISBN-13: 978-1484214800

ISBN-10: 1484214803

Layout

Each folder contains code for a particular chapter. The repetition of code is deliberate. While this goes against most software engineering principles (held very dearly by the author as well), it is necessary to expound a topic and keep its implementation self-contained.

Chapters

  • 2: Introduction to Spark
  • 3: DStreams: Real-time RDDs
  • 4: High Velocity Streams: Parallelism and Other Stories
  • 5: Real-time Route 66: Linking External Data Sources
  • 6: The Art of Side Effects
  • 7: Getting Ready for Prime Time
  • 8: Real-time ETL and Analytics Magic
  • 9: Machine Learning at Scale
  • 10: Of Clouds, Lambdas, and Pythons

Build

Jump to a particular folder and simply execute sbt assembly. This will generate an uber JAR that can directly be submitted to a Spark cluster.

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