~/talk

Approaching Join Index for Lucene #bbuzz

Talkat Berlin Buzzwords 2015 · 2015-05-31..06-03· [software-architecture]
links:none on file
slides:none on file

Compares three concrete Lucene approaches and shows a working prototype: a join index prototype built with updatable doc values that stores Lucene docIDs to avoid expensive external-id lookups. Benchmarks add the built-in block-join (fastest, often by orders of magnitude) and a global ordinal join (query-time but compact and with nearly zero update cost). Result: join index speeds lookups vs plain query-time joins and enables both join directions, but current prototype forces full-column rewrites so incremental updates do not yet work.

AI-written summary · about

  1. 0:00Introduction
  2. 2:36Advantage Section
  3. 3:13Plan
  4. 4:52Explanation
  5. 8:57Summary
  6. 10:38Query Time Join
  7. 12:33Block Join
  8. 14:06Query Time
  9. 14:40leapfrog
  10. 16:50index
  11. 20:19finding the algorithm
  12. 22:09Joint operations
  13. 23:54Global original query time join
  14. 26:17Benchmarks
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