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Data model - datasets
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Classroom Contents
Why We Built Our Own Distributed Column Store
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- 1 Intro
- 2 Please meet Retriever
- 3 Retriever is a special purpose data store
- 4 What is Honeycomb?
- 5 How Honeycomb works
- 6 Honeycomb under the hood
- 7 Our requirements
- 8 Requirements - summary
- 9 Retriever at a glance
- 10 Retriever compared to Scuba
- 11 Architecture - write path
- 12 Architecture - read path
- 13 Data model - datasets
- 14 Data model - events
- 15 Row oriented storage
- 16 Column oriented storage
- 17 Storage Format - timestamp column
- 18 Storage Format - reading
- 19 Distributed queries
- 20 Distributed reads - calculations
- 21 Distributed reads - fanout
- 22 Detour - Kafka
- 23 Ingestion
- 24 Quota management
- 25 Fault tolerance
- 26 Failure recovery
- 27 Bootstrapping new nodes
