Understanding and Reducing Application Contention - PGConf NYC 2021

Understanding and Reducing Application Contention - PGConf NYC 2021

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Impacts of SERIALIZABLE Transaction Isolation

17 of 22

17 of 22

Impacts of SERIALIZABLE Transaction Isolation

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Understanding and Reducing Application Contention - PGConf NYC 2021

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  1. 1 Intro
  2. 2 How do I know waits are happening now?
  3. 3 How do I know lock waits happened?
  4. 4 Batching Transactions
  5. 5 High Availability
  6. 6 Frequency of Contention
  7. 7 Conversational Transactions (with Front End)
  8. 8 Conversational Transactions (with App Tier)
  9. 9 Server-side Procedures
  10. 10 Testing for concurrency
  11. 11 Deadlock detector
  12. 12 How do I know deadlocks happened?
  13. 13 Avoiding deadlocks
  14. 14 Application Design Anti-Patterns
  15. 15 Application Design Pattern Tuning (1a)
  16. 16 Default Transaction Isolation
  17. 17 Impacts of SERIALIZABLE Transaction Isolation
  18. 18 Impacts of SERIALIZABLE failures
  19. 19 Correctness of SERIALIZABLE retry
  20. 20 e.g. CockroachDB Problems
  21. 21 Postgres-BDR approaches to xact contention
  22. 22 CockroachDB vs PostgreSQL Performance

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