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Data flow and sync/async
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Classroom Contents
Read and Write Considered Harmful
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- 1 Intro
- 2 Reads
- 3 Dependencies
- 4 REST APIs and rules
- 5 REST APIs and schemas
- 6 REST APIs and processes
- 7 Typical system scaling path
- 8 Scaling problems • Partitioning or sharing works to an extent
- 9 Avoid sharing mutable data
- 10 questions about data access
- 11 Non-primary key access - Finding items by value, not by key
- 12 Range scans and sequential access - Requires ordering Leoperators, ordering costs • Requires iberators/cursors/traversal state
- 13 Read/write ratio
- 14 Working set size and skew • How much of the common data will fit in main
- 15 Consistency • Do all copies of the data need to be exactly up- to-date right now
- 16 Reader/writer vs data flow
- 17 Sync vs async systems
- 18 Data flow and sync/async
- 19 Content management example
- 20 Larger example
- 21 Command Query Representation Separation (CORS)
- 22 CORS examples