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Time Series and FoundationDB: Millions of Writes/s and 10x Compression in 2000 Lines of Go

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Prototype demonstrates building a time series engine on FoundationDB that achieves millions of writes/s, 10x compression, and fits in 2,000 lines of Go. It buffers Gorilla-encoded blocks in memory, writes uncompressed commit-log chunks into FoundationDB for durable recovery, and transactionally flushes or merges compressed chunks with per-series metadata and simple zone maps using strict serializability. Recovery reads commit-log chunks and rebuilds in-memory encoders; current prototype requires strictly increasing timestamps and cuts corners for production readiness.

AI-written summary · about

  1. 0:00Intro
  2. 1:04Design Goal - M3DB on Foundation DB
  3. 1:41M3DB on FoundationDB - Attempt #2
  4. 4:37M3DB's Architecture - Where's the data?
  5. 6:13Semi-Stateful Commit Logs
  6. 7:59Commit Log Cleanup - Code
  7. 10:41Buffer System - Flush to Foundation DB
  8. 11:23Buffer System - Transactional Flushes
  9. 12:42Buffer System - Read Path
  10. 13:29Conclusion
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