The document provides an overview of Azure Cosmos DB's features, including elastic scalability, global distribution, and support for various programming languages and development tools. It highlights performance tuning strategies and best practices to enhance efficiency, such as denormalization and monitoring request units. Updates from Microsoft Build 2017 are also summarized, including additional APIs and consistency levels.

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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

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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

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Overview – capabilities and
limitations

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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.

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Collections
• Named container for JSON documents
• SLA guaranteed throughput
• Throughput-based billable unit
• Scalable through Azure Portal and APIs both

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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

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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

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Consistency levels

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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

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Performance tuning –
considerations, steps and tools

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What is request unit?

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Performance awareness through Azure Portal Metrics

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Our top 5 performance tips

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1. Be Creative! Denormalize it!

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2. Cut the calls! No, I mean it

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3. Trace request units, be aware of throttling

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4. Remember where you’re at

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5. Read the documentation, play with samples
and open-source tools

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• 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

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Premium and Standard Table APIs

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Thank you