When deploying your service to Microsoft Azure, you have a number of options in terms of noSQL: you can install databases on Linux or Windows virtual machines by yourself, or via the marketplace, or you can use open source databases available as a service like HBase or proprietary and managed databases like Document DB. After showing these options, we'll show Document DB in more details. This is a noSQL database as a service that stores JSON.

1. Microsoft Azure:
Document DB
and other
noSQL databases
Benjamin Guinebertiere
Technical Evangelist, Microsoft France
@benjguin

2. noSQL matters on Azure

3. Other related managed services (PaaS)
Azure Search
Redis Cache
HDInsight : Hive + ORC Hadoop with Column
storage + SQL
SQL Database Elastic Scale Relational + Sharding
Managed databases (PaaS)
Azure Storage Tables Clef/valeur
HDInsight HBase Column
DocumentDB Document JSON
IaaS
MongoDB Document
In IaaS, or managed by MongoLabs,
or MongoDB
Cassandra Column
In IaaS, may be initiated thru the
Marketplace
Titan Graph
… Any database that installs on
Windows or Linux

4. DocumentDB

5. DocumentDB at Microsoft
user data store

6. {
"id": "AzureDocumentDB",
"servicetype": "Data Platform",
"servicename": "Azure DocumentDB",
"releasetype": "Preview",
"public": true,
"regions": [
{
"name": "North Europe",
"visible": true,
"capacity": 230034
},
{
"name": "West US",
"visible": true,
"capacity": 800034
},
{
"name": "East US",
"visible": false,
"capacity": 1000034
}
]
}
{
"id": "MS_125734",
"name": "John Macintyre",
"jobrole": "Program Manager",
"companyname": "Microsoft",
"photo": null,
"bio": "John builds stuff at Microsoft.",
"topicids": [
"MS_Azure_12",
"MS_Azure_23",
"MS_Azure_44"
],
"sessonids": [
"MS_TEE_DBIB318",
"MS_TEE_DBI212"
]
}
designed, built and optimized for JSON
{ }JSON

7. schema-free and queryable
SQL

8. multi-document transactions
JS

9. tunable and fast

10. scalable and fully managed

11. { }
{ }
JS
JS
JS
The Basics

12. The Basics
Resource Model
 Entities addressable by logical URI
 Partitioned for scale out
 Replicated for HA
 Entities represented as JSON
 Accounts scale out through addition
of capacity units






{ }
{ }
JS
JS
JS

14. JSON + SQL

15.  Query arbitrary paths,
properties and values
 No secondary index
definitions required
 Consistent Query Results in
the face of heavy writes
 Query through SQL (or LINQ
in .NET)
 JavaScript UDFs Extensibility
-- Nested lookup against index
SELECT B.Author
FROM Books B
WHERE B.Author.Name = "Leo Tolstoy"
-- Transformation, Filters, Array access
SELECT { Name: B.Title, Author: B.Author.Name }
FROM Books B
WHERE B.Price > 10 AND B.Language[0] = "English"
-- Joins, User Defined Functions (UDF)
SELECT CalculateRegionalTax(B.Price, "USA", "WA")
FROM Books B
JOIN L IN B.Languages
WHERE L.Language = "Russian"

16. The choice of consistency level has performance implications
for both write and read operations
• Write operations
• Consistency level changes impact request latency
• Stronger consistency levels result in higher write
latencies
• Read operations
• Consistency level changes impact throughput
• Weaker consistency levels result in higher read
throughput
Tip: You can lower the consistency level of a specific read or query
request by specifying [x-ms-consistency-level] request header or by
using RequestOptions in the SDKs
Document myDoc = await
client.ReadDocumentAsync(documentLink,
new RequestOptions
{ ConsistencyLevel = ConsistencyLevel.Eventual });
Lower consistency level on read operation

17. How it works
Automatic indexing of documents
JSON documents are represented as
trees
Structural information and instance
values are normalized into a JSON-Path
Example
{"headquarters": "Belgium"}  /"headquarters"/"Belgium"
{"exports": [{"city": “Moscow"}, {"city": Athens"}]}  /"exports"/0/"city"/"Moscow"
and /"exports"/1/"city"/"Athens".

18. Configuration Level Options
Automatic Per collection True (default) or False
Override with each document write
Indexing Mode Per collection Consistent or Lazy
Lazy for eventual updates/bulk ingestion
Included and excluded
paths
Per path Individual path or recursive includes (? And *)
Indexing Type Per path Support Hash (Default) and Range
Hash for equality, range for range queries
Indexing Precision Per path Supports 3 – 7 per path
Tradeoff storage, query RUs and write RUs

19. Path Description/use case
/ Default path for collection. Recursive and applies to whole document tree.
/"prop"/? Serve queries like the following (with Hash or Range types respectively):
SELECT * FROM collection c WHERE c.prop = "value"
SELECT * FROM collection c WHERE c.prop > 5
/"prop"/* All paths under the specified label.
/"prop"/"subprop"/ Used during query execution to prune documents that do not have the
specified path.
/"prop"/"subprop"/? Serve queries (with Hash or Range types respectively):
SELECT * FROM collection c WHERE c.prop.subprop = "value"
SELECT * FROM collection c WHERE c.prop.subprop > 5

20. Transactionally
process multiple
documents with
application defined
stored procedures
and triggers
 JavaScript as the procedural language
 Language integrated
 Execution wrapped in an implicit transaction
 Preregistered and scoped to a collection
 Performed with ACID guarantees
 Triggers invoked as pre or post operations

23. Get started with Azure DocumentDB
http://aka.ms/documentdb
DocumentDB Documentation, Videos & Tutorials
http://aka.ms/documentdbdocs
Submit DocumentDB Feedback & Vote for Features
http://aka.ms/documentdbfeedback
Sample Code
http://aka.ms/documentdbsamples
Team Blog
http://aka.ms/documentdbblog
DocumentDB Resources

24. Other noSQL databases on Azure

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51. Benjamin Guinebertière
Technical Evangelist, Microsoft France
Azure, data insights, machine learning
@benjguin | http://3-4.fr

53. Démo screen shots