~/talk

Hidden pearls for high-performance-persistence in Java

Talkat Joker 2020 · 2020-11-25..11-28· [databases, java]
slides:none on file

Quick survey of concrete options and claims: jOOQ, Speedment and JPA streams keep SQL as the single source and require tuned queries; Chronicle Bytes and Chronicle Maps write compact primitives and offer extremely low-latency append/read for logs and key/value at HFT scale (chronicle bytes for compact, blazing fast append). JetBrains Xodus is a transactional key/value + entity store with MVCC and a virtual file system for attachments (Xodus entity store with MVCC and VFS). MapDB provides Java collections with transactions and an eviction/overflow mechanism to combine memory and disk (expireOverflow cascading on- and off-heap tiers). MicroStream promises storing full Java object graphs without decomposition and shows the largest convenience/serialization payoff (store object graphs without decomposing).

AI-written summary · about

  1. 0:00Introduction
  2. 7:03Why what
  3. 8:52Lets start
  4. 9:20Persistence layer
  5. 13:10Speedman
  6. 15:00JavaStream
  7. 16:21Coffee
  8. 16:33High frequency trading
  9. 16:59ChronicleBytes
  10. 20:40Chronicle Maps
  11. 25:44Xodos
  12. 27:10Entity
  13. 27:57Jetbrains
  14. 28:24Environments
  15. 32:25Entity Store
  16. 34:29Virtual File System
  17. 35:50Performance benchmarks
  18. 36:38Data dump
  19. 37:08Mapdb
  20. 37:38Dropin replacement
  21. 38:11MVCC
  22. 39:26Data Structures
  23. 43:11Cascading Data Structures
  24. 44:50Commit and Rollback
  25. 46:03Microstream
  26. 47:49Open Source
  27. 50:43Solution
  28. 53:08Lazy loading
  29. 54:10Microstream Hackathon
  30. 54:59Tips
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