Introduction to azure document db

2. Photo Credits : Konstantinos Poulakos
Introduction to
Azure DocumentDB
Athens Apr 21, 2017

3. PresenterInfo
1982 I started working with computers
1988 I started my professional career in computers industry.
1996 I started working with SQL Server 6.0
1998 I earned my first certification at Microsoft as Microsoft
Certified Solution Developer (3rd in Greece)
I started my career as Microsoft Certified Trainer (MCT)
with more than 30.000 hours of training until now!
2010 I became for first time Microsoft MVP on Data Platform
I created the SQL School Greece www.sqlschool.gr
2012 I became MCT Regional Lead by Microsoft Learning
Program.
2013 I was certified as MCSE : Data Platform
& MCSE : Business Intelligence
2016 I was certified as MCSE: Data Management & Analytics
Antonios
Chatzipavlis
SQL Server Expert & Evangelist

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7. PresentationContent
▪ Introduction to DocumentDB
▪ Start Working with DocumentDB
▪ Writing Queries in DocumentDB
▪ Programming in DocumentDB Server

8. Introduction to DocumentDB

9. ▪ DocumentDB is a fully managed NoSQL database service
▪ Built for fast and predictable performance, high availability, elastic scaling,
global distribution, and ease of development.
▪ Is a schema-free NoSQL database
▪ Provides rich and familiar SQL query capabilities with consistent low latencies
on JSON data
(ensuring that 99% of your reads are served under 10 milliseconds and 99% of your writes are served under 15 milliseconds.)
▪ DocumentDB is a great fit for web, mobile, gaming, and IoT
▪ and many other applications that need seamless scale and global replication.
What is DocumentDB

10. ▪ Elastically scalable throughput and storage
▪ Multi-region replication
▪ Ad hoc queries with familiar SQL syntax
▪ JavaScript execution within the database
▪ Tunable consistency levels
▪ Fully managed
▪ Open by design
▪ Automatic indexing
▪ Compatibility with MongoDB apps
What capabilities and key features does DocumentDB offer?

11. How does
DocumentDB
manage data?

12. ▪ DocumentDB stores data as collections of documents.
▪ Your application can use a variety of operation types supported by DocumentDB, including CRUD, SQL and
JavaScript queries, as well as stored procedures to work with documents.
▪ For each collection, you get guaranteed throughput for all supported
operations using a measure of throughput called Request Units per
second (RUs).
▪ For example, a read operation on a 1KB document requires 1 RU.
▪ You can adjust reserved RUs for each collection programmatically or via the portal at any time regardless
of the amount of the data stored.
▪ DocumentDB Emulator (Free)
▪ Download the free DocumentDB Emulator to develop and test applications using DocumentDB from your
local machine. Once you’re satisfied with how your application works, you can deploy it by just changing
your configuration to point to an Azure DocumentDB instance.
DocumentDB Pricing

13. Start Working with
DocumentDB

14. Get Microsoft Account
http://singup.live.com
Get Microsoft Azure Subscription
http://azure.microsoft.com
Before Working with DocumentDB

15. DocumentDB Resource Model

16. Resource Properties
Property Description
Id User defined unique ID (string)
_rid Resource ID
_ts Timestamp (last updated) epoch value
_etag GUID used for optimistic concurrency
_self URI path to the resource

17. DEMO

18. Writing Queries in
DocumentDB

19. ▪ SQL grammar support for querying documents
▪ SELECT, FROM, WHERE, JOIN, IN, BETWEEN, ORDER BY
▪ Operators
▪ Arithmetic operators : + , - , * , / , %
▪ Bitwise operators : | , & , ^ , < , >> , >>> (zero-fill right shift)
▪ Logical operators: AND , OR
▪ Comparison operators : = , != , > , >= , < , <= , <>
▪ String operator : || (string concatenate)
▪ Built-in Functions
▪ Math : ABS, CEILING, EXP, POWER, ROUND, PI …
▪ Type checking : IS_ARRAY, IS_BOOL, IS_NULL, IS_NUMBER, IS_OBJECT, IS_STRING, IS_DEFINED, IS_PRIMITIVE
▪ String : CONCAT, CONTAINS, ENDSWITH, INDEX_OF, LEFT, LENGTH, REPLACE, SUBSTRING …
▪ Array : ARRAY_CONCAT, ARRAY_CONTAINS, ARRAY_LENGHT, ARRAY_SLICE
DocumentDB Queries

20. DEMO

21. Programming in
DocumentDB Server

22. ▪ You can write code that runs inside DocumentDB using Stored
Procedures, Triggers, User defined functions
▪ JavaScript as T-SQL
▪ Full support of ACID (transactions)
▪ Bounded executions
▪ Handle throttling errors (code 429)
Server Side Programming Model

23. Server Side Programming Objects
Stored
Procedures
JavaScript function
Receive input parameters in
function signature
Operate on any document in the
collecation
Return any response
Triggers
JavaScript function
Pre-Triggers
Runs before the operation
executes
Post-trigger
Runs after the operation
executes
Triggers do not fire
automatically
UDFs
JavaScript function
Querying on a UDF requires a
scan (cannot use index)
No access to context

24. DEMO

27. SELECT KNOWLEDGE FROM SQL SERVER
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