Azure Cosmos DB: Features, Practical Use and Optimization "
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This presentation is dedicated to Azure Cosmos DB, it's history, characteristics, tasks and solutions. The presentation deals with performance optimization, practical experience of usage and an overview of the news about Cosmos DB from Microsoft Build 2017 conference (https://build.microsoft.com). This presentation by Andriy Gorda (Engineering Manager & Lead Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
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Azure Cosmos DB: Features, Practical Use and Optimization "
- 1. 1 Azure Cosmos DB: Features, practical use and optimization Andriy Gorda Engineering Manager & Lead Software Engineer Manager of the best new team 2016 13 June 2017
- 2. 2 Agenda 1. Overview – capabilities and limitations • Collections • Indexing • Global Distribution • Consistency levels • Development Tools and SDKs 2. Performance tuning – considerations, steps and tools • What is request unit? • Our top 5 performance tips 3. MS Build 2017 announced changes
- 3. 33 Overview – capabilities and limitations
- 4. 4 Overview • Unlimited elastically scaled storage • Unlimited elastically scaled throughput • Worldwide distribution • Default index to all documents in a database • SQL syntax to query JSON documents • Standard scalar, string functions in a query • Support for Stored Procedures, User Defined functions, Triggers, etc.
- 5. 5 Collections • Named container for JSON documents • SLA guaranteed throughput • Throughput-based billable unit • Scalable through Azure Portal and APIs both
- 6. 6 Indexing • Indexed by default • Data type: String, Number, Point, Polygon, or LineString • Index kind: Hash (equality queries), Range (equality, range or Order By queries), or Spatial (spatial queries) • Precision: 1-8 or -1 (Maximum precision) for numbers, 1-100 (Maximum precision) for string • 3 Indexing Modes – Consistent, Lazy and None
- 7. 7 Global distribution • Turn-key manageable through Azure Portal and API both • Automatically distributed • Accessible in more than 30 regions worldwide • Targets disaster recovery and low-latency access both • Fine-grained through separate read and write regions • SLA – guaranteed low latency
- 9. 9 Development Tools and SDKs • SDKs are available for .NET, Python, Node.js, JavaScript, and Java, plus REST API • Free local emulator up to 25 collections • Special API for MondoDB • Migration tool to import and export data with maximum performance • DocumentDBStudio for all the development use cases from SQL to stored procedures, UDFs and triggers • Github – based comprehensive samples
- 10. 1010 Performance tuning – considerations, steps and tools
- 11. 11 What is request unit?
- 12. 12 Performance awareness through Azure Portal Metrics
- 13. 13 Our top 5 performance tips
- 14. 14 1. Be Creative! Denormalize it!
- 15. 15 2. Cut the calls! No, I mean it
- 16. 16 3. Trace request units, be aware of throttling
- 17. 17 4. Remember where you’re at
- 18. 18 5. Read the documentation, play with samples and open-source tools
- 19. 19
- 20. 20 • Graph database support queried with Gremlin API • Key-value database support with Premium Table API • Additional ‘Consistent Prefix’consistency level • Request units per minute add-on provision capability
- 21. 21 Premium and Standard Table APIs
- 22. 22 Thank you