~/talk

A Practical Introduction to Akka Streams

Talkat JDD 2016 · 2016-10-10..10-11· [scala, reactive-programming]
slides:none on file

Live coding shows a Scala pipeline built with Akka Streams that reads gzipped semicolon‑separated files, frames lines, parses into valid/invalid readings, groups pairs by ID, computes averages (uses -1 when both invalid), and writes results to Cassandra with configurable parallelism for file reads and DB writes. Materialization uses the actor materializer, a resuming logging decider keeps the stream running on errors, the Streams TestKit verifies the flow, and a demo run finishes in under eight seconds.

AI-written summary · about

  1. 0:00Introduction and setup
  2. 3:45What are Akka Streams
  3. 10:50Parsing single lines
  4. 14:43Splitting files into lines
  5. 17:51Parsing files into readings
  6. 25:34Computing averages
  7. 31:42Storing in Cassandra
  8. 36:02Importing single files
  9. 40:19Importing directories
  10. 45:44Error handling strategy
  11. 52:00Testing with Akka Streams
  12. 1:03:22Alternatives and resources
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