Enhancing a Distributed SQL Database Engine - Performance Optimization Techniques

Enhancing a Distributed SQL Database Engine - Performance Optimization Techniques

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massive data handling

6 of 34

6 of 34

massive data handling

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Enhancing a Distributed SQL Database Engine - Performance Optimization Techniques

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  1. 1 intro
  2. 2 preamble
  3. 3 about me
  4. 4 outline
  5. 5 yql: distributed sql database engine
  6. 6 massive data handling
  7. 7 yql architecture overview
  8. 8 example
  9. 9 execution plan
  10. 10 bechmark-driven approach
  11. 11 tpc-h benchmark
  12. 12 data generation
  13. 13 continuous integration ci
  14. 14 run distributed engine in one process
  15. 15 run distributed engine in multi-process configuration
  16. 16 unixbench's style measures
  17. 17 tpc--h 100: target values
  18. 18 hardware
  19. 19 linus performance tools
  20. 20 more linux performance tools
  21. 21 slow join
  22. 22 perf top
  23. 23 stackcount
  24. 24 memory allocator
  25. 25 results
  26. 26 user code isolation
  27. 27 execution plan
  28. 28 executions pipeline with unix pipe
  29. 29 slow results
  30. 30 linux ipc performance
  31. 31 pipe performance
  32. 32 results: dq @pipe+ pipe
  33. 33 what's next?
  34. 34 thanks you

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