How to Survive a One-Year Sprint and Migrate to ClickHouse
summary
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.
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chapters (15)
- 0:00Introduction
- 4:23PostgreSQL problems and solution search
- 5:00First ClickHouse tests
- 6:02Integration pitfalls
- 8:10Solution with Kafka and Kafka Engine
- 10:20Operational pitfalls
- 13:34Materialized views
- 17:32Slow query problems
- 20:29Query and load limits
- 22:36Codec optimization
- 27:36Performance settings
- 31:09Data updates and partitions
- 33:44Release preparation
- 36:54Summary and recommendations
- 38:00Q&A
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