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Handling Massive Metadata Large tables can have millions of files in them! How do we scale the metadata? Use Spark for scaling!
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Classroom Contents
Diving into Delta Lake: Understanding the Transaction Log
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- 1 Intro
- 2 Outline
- 3 Delta On Disk
- 4 Table = result of a set of actions
- 5 Implementing Atomicity
- 6 Ensuring Serializability
- 7 Solving Conflicts Optimistically
- 8 Handling Massive Metadata Large tables can have millions of files in them! How do we scale the metadata? Use Spark for scaling!
- 9 Checkpoints
- 10 Computing Delta's State
- 11 Updating Delta's State
- 12 Time Travelling by version
- 13 Time Travelling by timestamp
- 14 Time Travel Limitations
- 15 Batch Queries on a Delta Table
- 16 Streaming Queries on a Delta Table
