~/talk

Druid Lookups for High Cardinality Dimensions

Talkat Scale By the Bay 2017 · 2017-11-16..11-18· [databases, data-engineering]
name:Pavan
links:none on file
slides:none on file

Describes limitations of Druid’s built-in map and namespaced lookups for large, high-cardinality dimensions and explains a custom lookup framework that adds scalable, multi-column, real-time-capable lookups. The solution uses an embeddable persistent key‑value store for lookup storage, Kafka for messaging, and HDFS for deep storage to handle hundreds of millions of rows and support updates.

AI-written summary · about

  1. 0:00Start
  2. 1:23What's Druid?
  3. 4:03Druid req/resp
  4. 4:42What about mutable dimension data ?
  5. 5:11Few options
  6. 6:11What's druid lookups?
  7. 6:55Limitations of default implementation
  8. 8:03Introducing maha druid lookups
  9. 11:50Salient features
  10. 13:16Why RocksDB?
  11. 14:23Integration with maha
  12. 14:53Contributors
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