What You Need to Know About ClickHouse Architecture
summary
Overview of ClickHouse internals: how columnar on-disk storage and execution make analytical queries orders of magnitude faster while being unsuitable for OLTP or key-value workloads; replication and sharding design including how to achieve linear scaling and handle eventual consistency; and methods for diagnosing problems in production ClickHouse clusters.
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chapters (11)
- 0:00ClickHouse introduction
- 1:31ClickHouse tasks and use
- 3:41Query language and data storage
- 7:01Data organization and indexing
- 15:03Data sorting and insertion
- 17:50Monitoring and merging parts
- 19:17Data sharding
- 24:27Data replication
- 29:54ClickHouse cluster
- 31:00Architecture summary
- 32:22Q&A
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