Microsoft Azure: Document DBand othernoSQL databases

Benjamin Guinebertiere

Technical Evangelist, Microsoft France

@benjguin

noSQL matters on Azure

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

DocumentDB

DocumentDB at Microsoft

user data store

{"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

schema-free and queryable

SQL

multi-document transactions

JS

tunable and fast

scalable and fully managed

{ }{ }

JS

JS

JS

The Basics

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

JSON + SQL

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"

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

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".

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

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

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

Get started with Azure DocumentDBhttp://aka.ms/documentdb

DocumentDB Documentation, Videos & Tutorialshttp://aka.ms/documentdbdocs

Submit DocumentDB Feedback & Vote for Featureshttp://aka.ms/documentdbfeedback

Sample Codehttp://aka.ms/documentdbsamples

Team Bloghttp://aka.ms/documentdbblog

DocumentDB Resources

Other noSQL databases on Azure

tech.days 2015#mstechdays

Activez vos bénéfices Azure jusqu’à

115€ de ressources mensuelles

offertes

115€ /mois

x5 membres

x3 ans

= 4 175€ de ressources offertes

http://azure.com http://aka.ms/azurepourmsdn

150€ de ressources offertes

Sans engagement

Pour tousUn mois d’essai offert

http://www.microsoft.com/bizspark/

Pour les startupsBizspark

= 49 000€ de ressources offertes

pendant un an

Pour les abonnés MSDN

tech.days 2015#mstechdays

Inscrivez-vous : http://aka.ms/pepiniereazure

Coaching technique et business

Ressources

Une équipe à Microsoft pour vous accompagner dans votre projet cloud et mettre à

votre disposition de l’aide personnalisée.

Visibilité

Benjamin Guinebertière

Technical Evangelist, Microsoft FranceAzure, data insights, machine learning @benjguin | http://3-4.fr

Démo screen shots