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db.NLJUG.insert(
{ “presenters” : “Maikel Alderhout & Bas van Oudenaarde”,
  “type” : “JFALL”,
  “datum” : ISODate(31/10/2012) } )
NoSQL Hype


• Not only ... of No SQL
  ‘not only’ relationele data opslag
Database evolution #1
Database evolution #2
Database evolution #3
De huidige trends hebben een behoorlijke impact in het
            traditionele database landschap
                              Agile&Development&
                              •  Itera&ve(
                              •  Con&nuous(




 Data$Volume,$
 Type$&$Use$
 •  Trillions(of(records(
 •  100’s(of(millions(of(
    queries(per(second(
 •  Real6Time(Analy9cs(
 •  Unstructured(/(semi6
    structured(
                                              New$Hardware$Architectures$
                                              •  Commodity(servers(
                                              •  Cloud(Compu0ng(
                                              •  Horizontal(Scaling(
Hoezo Java problemen?

• Schaalbaarheid 3-tier architecturen
• ORM, mapping vanuit domain objecten.
  Lekker alles aan elkaar knopen
• Caching, niet te veel naar de database
• Alles in memory, dan maar?
NoSQL oplossingen
                                            Key-Value        Column               Document   G

            Key-value store                              Document

          bv.Voldemort, Dynomite, Tokyo             bv CouchDB, MongoDB, Riak




            ColumnFamily /
Column      Document
            BigTable clones                 Graph    Graph databases

         bv Google BT, HBase, Hypertable,            Neo4J, Sones, AllegroGraph
                   Cassandra
MongoDB is a scalable, high-performance NoSQL
database.




       •  Open%source,%wri.en%in%C++%   •  Full$featured$indexes,$query$
       •  Document4oriented%Storage%       language$$
          –  Based%on%JSON%Documents%   •  Replica6on$&$High$Availability$
          –  Schema4less%
                                        •  Auto>sharding$
JSON Document
Person
{

name" : "Bas",
"group" : [ "Open Source", "mongoDB", "Big Data" ]
 
}
Replication
 Sharding
Durability
Replicatie
     read




   read/write



                     Asynchronous
                      Replication
     read




Automatic election
 of new Primary
Sharding
Sharding features

• Automatic partitioning
• Automatic Load-Balancing across shards
• Range-based
• Convert to sharded system with no downtime
• Fully consistent
• Application code unaware of data location
• Zero code changes
Durability

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Mongodb lab

  • 1. db.NLJUG.insert( { “presenters” : “Maikel Alderhout & Bas van Oudenaarde”, “type” : “JFALL”, “datum” : ISODate(31/10/2012) } )
  • 2. NoSQL Hype • Not only ... of No SQL ‘not only’ relationele data opslag
  • 6. De huidige trends hebben een behoorlijke impact in het traditionele database landschap Agile&Development& •  Itera&ve( •  Con&nuous( Data$Volume,$ Type$&$Use$ •  Trillions(of(records( •  100’s(of(millions(of( queries(per(second( •  Real6Time(Analy9cs( •  Unstructured(/(semi6 structured( New$Hardware$Architectures$ •  Commodity(servers( •  Cloud(Compu0ng( •  Horizontal(Scaling(
  • 7. Hoezo Java problemen? • Schaalbaarheid 3-tier architecturen • ORM, mapping vanuit domain objecten. Lekker alles aan elkaar knopen • Caching, niet te veel naar de database • Alles in memory, dan maar?
  • 8. NoSQL oplossingen Key-Value Column Document G Key-value store Document bv.Voldemort, Dynomite, Tokyo bv CouchDB, MongoDB, Riak ColumnFamily / Column Document BigTable clones Graph Graph databases bv Google BT, HBase, Hypertable, Neo4J, Sones, AllegroGraph Cassandra
  • 9.
  • 10. MongoDB is a scalable, high-performance NoSQL database. •  Open%source,%wri.en%in%C++% •  Full$featured$indexes,$query$ •  Document4oriented%Storage% language$$ –  Based%on%JSON%Documents% •  Replica6on$&$High$Availability$ –  Schema4less% •  Auto>sharding$
  • 11. JSON Document Person { name" : "Bas", "group" : [ "Open Source", "mongoDB", "Big Data" ]   }
  • 13. Replicatie read read/write Asynchronous Replication read Automatic election of new Primary
  • 15.
  • 16. Sharding features • Automatic partitioning • Automatic Load-Balancing across shards • Range-based • Convert to sharded system with no downtime • Fully consistent • Application code unaware of data location • Zero code changes

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