~/talk

How to Survive a One-Year Sprint and Migrate to ClickHouse

TalkinRussianat HighLoad++ 2023 · 2023-11-27..11-28· [databases, data-engineering]
links:none on file
slides:none on file

A presentation about migrating a product or startup from existing analytics storage to ClickHouse, describing practical challenges encountered during a year-long sprint and how the team approached the migration. It covers ClickHouse as the chosen analytics database, operational and integration problems that arise in real-world companies, and the applied solutions and lessons learned.

AI-written summary · about

  1. 0:00Introduction
  2. 4:23PostgreSQL problems and solution search
  3. 5:00First ClickHouse tests
  4. 6:02Integration pitfalls
  5. 8:10Solution with Kafka and Kafka Engine
  6. 10:20Operational pitfalls
  7. 13:34Materialized views
  8. 17:32Slow query problems
  9. 20:29Query and load limits
  10. 22:36Codec optimization
  11. 27:36Performance settings
  12. 31:09Data updates and partitions
  13. 33:44Release preparation
  14. 36:54Summary and recommendations
  15. 38:00Q&A
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