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About me
{
    "firstName": "Alessandro",
    "lastName": "Melchiori",
    "role": "software architect @ codiceplastico",
    "contacts": [
                    {
                          "type": "email",
                          "value": "alessandro@codiceplastico.com"
                   },
                   {
                          "type": "twitter",
                          "value": "@amelchiori"
                   },
                   {
                          "type": "blog",
                          "value": "http://blog.codiceplastico.com/melkio"
                   }
     ]
}
What is #mongodb?
         MongoDB is
a scalable, high-performance,
open source, NoSQL database,
        written in C++
Setup

DEMO
Data modeling
• Embedding
  – you have “contains” relationships between
    entities
  – you have one-to-many relationships where
    the “many” objects always appear with or are
    viewed in the context of their parent
    documents
Data modeling
• Referencing
  – when embedding would result in duplication of
    data but would not provide sufficient read
    performance advantages to outweigh the
    implications of the duplication
  – to represent more complex many-to-many
    relationships
  – to model large hierarchical data sets
Queries and indexes

DEMO
Replication
• Database replication ensures redundancy,
  backup, and automatic failover
Replication
 Member 1                 Member 2
RECOVERING
SECONDARY
   DOWN
  PRIMARY                 PRIMARY
                         SECONDARY




              Member 3
             SECONDARY
Replica set

DEMO
Sharding
• Sharding automatically balances data and
  load across machines. Sharding provides
  additional write capacity by distributing
  the write load over a number of mongod
  instances.
Sharding

DEMO
Sharding
  client                 mongos
                        mongos
                       mongos


            shard 01   shard 02   shard 03
Config 01

Config 02

Config 03
…and Windows Azure?
• Virtual machine (IaaS)
• Worker role (PaaS)
• MongoLab (SaaS)
Windows Azure

DEMO
Q&A
Tutto il materiale di questa sessione su
    http://www.communitydays.it/

              #CDays13

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MongoDb and Windows Azure

  • 1.
  • 2. Grazie a Sponsor
  • 3. About me { "firstName": "Alessandro", "lastName": "Melchiori", "role": "software architect @ codiceplastico", "contacts": [ { "type": "email", "value": "alessandro@codiceplastico.com" }, { "type": "twitter", "value": "@amelchiori" }, { "type": "blog", "value": "http://blog.codiceplastico.com/melkio" } ] }
  • 4.
  • 5. What is #mongodb? MongoDB is a scalable, high-performance, open source, NoSQL database, written in C++
  • 7. Data modeling • Embedding – you have “contains” relationships between entities – you have one-to-many relationships where the “many” objects always appear with or are viewed in the context of their parent documents
  • 8. Data modeling • Referencing – when embedding would result in duplication of data but would not provide sufficient read performance advantages to outweigh the implications of the duplication – to represent more complex many-to-many relationships – to model large hierarchical data sets
  • 10. Replication • Database replication ensures redundancy, backup, and automatic failover
  • 11. Replication Member 1 Member 2 RECOVERING SECONDARY DOWN PRIMARY PRIMARY SECONDARY Member 3 SECONDARY
  • 13. Sharding • Sharding automatically balances data and load across machines. Sharding provides additional write capacity by distributing the write load over a number of mongod instances.
  • 15. Sharding client mongos mongos mongos shard 01 shard 02 shard 03 Config 01 Config 02 Config 03
  • 16. …and Windows Azure? • Virtual machine (IaaS) • Worker role (PaaS) • MongoLab (SaaS)
  • 18. Q&A Tutto il materiale di questa sessione su http://www.communitydays.it/ #CDays13

Editor's Notes

  1. Inserite l’eventuale vostro logo in basso a destra
  2. Slide da mostrare prima di iniziare la sessione – non rimuovere!
  3. Embedding provides the following benefits: - generally better performance for read operations. - the ability to request and retrieve related data in a single database operation. Embedding related data in documents, can lead to situations where documents grow after creation. Document growth can impact write performance and lead to data fragmentation. MongoDB only provides atomic operations on the level of a single document. As a result needs for atomic operations influence decisions to use embedded or referenced relationships when modeling data for MongoDB. Embed fields that need to be modified together atomically in the same document.
  4. Ultima slide, obbligatoria