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Building a High-Performance Database with Scala, Akka, and Spark

Talkat Scale By the Bay 2017 · 2017-11-16..11-18· [scala, distributed-systems]
name:Evan Chan
links:none on file
slides:none on file

FiloDB is a production-ready columnar analytics DB built with Scala, Akka Cluster, Spark and Monix that ingests high-volume streams and serves low-latency queries. It achieves billions of ops/sec (a tight loop benchmark hits about 2 billion adds/sec single-threaded) by using off-heap binary records, SIMD-friendly vector operations, JVM inlining, HDR histograms for latency, Akka-based routing/stickiness for real-time ingestion, and Monix/reactive streams for back-pressured IO.

AI-written summary · about

  1. 0:00Introduction and speaker intro
  2. 2:01Why build a streaming database
  3. 5:35Cassandra’s role and limitations
  4. 7:23Introducing FalcoDB
  5. 8:50Why Scala Akka and Spark
  6. 11:17Reactive stack abstractions
  7. 15:20Reactive streams and Monix
  8. 21:04Mixing Akka Cluster with Spark
  9. 25:47Testing with Akka Multi-JVM
  10. 26:10Tracing and metrics with Kamon
  11. 27:56Schema validation with Galactic
  12. 28:37Machine-speed Scala
  13. 36:11Summary and Q&A
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