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![Dati in forma aggregata:
{
"genere":"Drammatico",
"film":[
{
"titolo":"Schindler's List",
"visioni":3454,
"anno":1993
},
{
"titolo":"Pulp Fiction",
"visioni":2114,
"anno":1994
},
{
"titolo":"Il Padrino",
"visioni":3873,
"anno":1972
}
]
}](https://image.slidesharecdn.com/nosqlpt2-130110120325-phpapp01/75/NoSQL-Data-Stores-Introduzione-alle-Basi-di-Dati-Non-Relazionali-53-2048.jpg)
Uploaded bySteve Maraspin
NoSQL Data Stores: Introduzione alle Basi di Dati Non Relazionali
The document provides an introduction to NoSQL databases, discussing their architecture, advantages, and deployment scenarios, contrasting them with traditional relational databases. It touches on the issues of data variability, persistence, and the concepts of eventual consistency versus strong consistency in NoSQL systems. Additionally, the document compares various NoSQL technologies such as Riak, HBase, CouchDB, and MongoDB, along with their specific use cases and trade-offs.
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- 1. NoSQL Data Stores Introduzione alle basi di dati non relazionali DiTeDi, Udine - Italia 15-12-2012
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- 7. Termine Usurpato! Carlo Strozzi http://www.strozzi.it/users/carlo/vitae.html
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- 10. Le origini diTokyo Cabinet DBM
- 11. Chi conosce questosignore?
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- 13. E questo? Ken Thompson http://en.wikipedia.org/wiki/Ken_Thompson
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- 19. Progresso tecnologico Costo 1MB DRAM http://www.cs.uic.edu/~jbell/CourseNotes/OperatingSystems/12_MassStorage.html
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- 25. Dynamo BigTable
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- 27. Cenni su Riak • Database key-value • Interfaccia HTTP • Usando i link si possono collegare chiavi fra di loro • CAP «configurabile» (si può decidere fra coerenza e disponibilità per ciascuna richiesta) • Supporta ricerca full-text
- 28. Clustering Fonte: http://wiki.basho.com/ 28
- 29. Persistenza Configurabile N numero nodi del R cluster in cui replicare il dato W 29
- 30. Replicazione Fonte: http://wiki.basho.com/ 30
- 31. Persistenza Configurabile N numero nodi da cui R il dato deve essere letto affinchè sia W considerato valido 31
- 32. Persistenza Configurabile N numero nodi in cui il dato deve essere R scritto affinchè la scrittura sia W considerata valida 32
- 33. Coerenza eventuale W + R <= N 33
- 34. Quorum W+R>N 34
- 35. Recap su Riak: • Interfaccia HTTP • Adatto alle situazioni in cui c’è bisogno di HA • Senza rinunciare ad alcune comode operazioni sui dati (usando links, pre/post commit hooks) • Non adatto se c’è necessità di eseguire query complesse 35
- 36. Implementazione di BigTable http://hadoop-hbase.blogspot.it/2011/12/introduction-to-hbase.html
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- 38. Salvataggio dei dati Es. Data Location: Stefano Valle/Profilo:Paese
- 39. Cenni su HBase • Controllo di versione incorporato • Compressione • Garbage collection • Tabelle in memoria • Coerenza (no availability) • Write Ahead Logging • Basato su Hadoop • Pensato per cluster grandi (5-20 nodi)
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- 42. ACID BASE Atomic Basic Consistent Available Isolated Soft State Durable Eventually Consistent
- 43. Concentriamoci sull’Atomicità Aggiornamento ordine Ordine Oggetto 1 Oggetto 2 Cliente 43
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- 46. Aggregate data model order_id = 1001 date = 2012-11-10 total_amount = 10.00€ name = Johnny surname = Appleseed product_name: Pear quantity: 2 item_price: 2.50€ total_price: 5.00€ product_name: Mango quantity: 1 item_price: 5.00€ total_price: 5.00€
- 47. ACID con gliaggregati Aggiornamento ordine Ordine order_id = 1001 date = 2012-11-10 Oggetto 1 total_amount = 10.00€ name = Johnny Oggetto 2 surname = Appleseed product_name: Pear quantity: 2 Cliente item_price: 2.50€ total_price: 5.00€ product_name: Mango quantity: 1 item_price: 5.00€ total_price: 5.00€ 47
- 48. COME SONO IDATI SU RDBMS?
- 49. COME LI VORREMMOUTILIZZARE?
- 50. Impedence Mismatch Film GenereDrammatico: Titolo Anno Visioni Schindler’s List 1993 3454 Pulp Fiction 1994 2114 Il Padrino 1972 3873 Film Genere Western: Titolo Anno Visioni Il buono, il brutto, il cattivo 1966 7834 Film Genere Commedia: Titolo Anno Visioni Mamma ho perso l’aereo 1990 3555
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- 52. Impedence Mismatch JOIN per evitare molteplici query
- 53. Dati in formaaggregata: { "genere":"Drammatico", "film":[ { "titolo":"Schindler's List", "visioni":3454, "anno":1993 }, { "titolo":"Pulp Fiction", "visioni":2114, "anno":1994 }, { "titolo":"Il Padrino", "visioni":3873, "anno":1972 } ] }
- 54. SCHEMALESS IS ALIE!
- 55. Da... Pannello Analisi Room TV Controllo Statistiche Dati 55
- 56. A... Pannello Analisi Room TV Controllo Statistiche API Dati 56
- 57. O meglio... Pannello Analisi Room TV Controllo Statistiche API API API Metadati Dati hotel Statistiche 57
- 58. Domain Driven Design 58
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- 60. + CQRS Fonte: http://www.domainlanguage.com/ddd/patterns/ 60
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- 71. Modello dati Dimensione Key Value Colonne Documentale A grafo > 90% dei casi d’uso Complessità Fonte: http://www.slideshare.net/emileifrem/an-overview-of-nosql-jfokus-2011
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- 74. Confronto replication sharding multi-master support support Memcached No (use Yes (through No (use repcached client library) repcached instead) instaed) Project Async Yes Yes Voldemort Redis Async No No Riak Async Yes Yes Peer-based 74
- 75. Confronto (2) data concurrency data types durability storage control Memcached RAM Lock-free Blob n.a. Project RAM, BDB, MVCC Typed Data Voldemort MySql, storage others dependant Redis RAM + disk Locks Semi-typed Append- only log Riak RAM, disk MVCC Semi-typed Durable (Vector- write clocks) quorum 75
- 76. Confronto (3) requires transactions secondary compaction indexex Memcached No No No Project Data storage No No Voldemort dependant Redis Snapshot Yes (multi No operations queues) Riak No No Yes 76
- 77. Confronto (4) security interface query language protocol support Memcached Via SASL TCP, UDP Commands C Project None Protocol Commands Java Voldemort Buffers, Thrift, Avro and Java Serialization Redis Passwords Simple text Commands C/C++ over TCP Riak None HTTP, Map reduce Erlang protobuf (weak support) 77
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- 80. Confronto replication sharding multi-master support support CouchDB Master-master Yes (with filters Yes in BigCouch) MongoDB Master-slave Yes No (replica sets) OrientDB Master-master Dec. 2012 / Yes Jan. 2013 RavenDB Master-master Yes Yes 80
- 81. Confronto (2) data concurrency data types durability storage control CouchDB Disk Lock-free JSON Crash-only MVCC MongoDB Disk Write lock BSON Write-ahead log, safe mode OrientDB Disk MVCC JSON Write-ahead log RavenDB RAM, Disk Configurable JSON Write-ahead optimistic log, snapshot concurrency (via ESE) 81
- 82. Confronto (3) requires transactions secondary compaction indexex CouchDB Yes, file rewrite No Yes MongoDB No No Yes OrientDB No Yes No RavenDB No Yes Yes 82
- 83. Confronto (4) security interface query language protocol support CouchDB Users HTTP Map reduce Erlang (REST) (weak support) MongoDB Users Binary over Commands, C++ TCP map reduce OrientDB Users, HTTP SQL(+), Java ACL (REST), Tinkerpop Binary over TCP RavenDB Users .NET API, LINQ C# HTTP (REST) 83
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- 87. Esempi Flock 87
- 88. COSA PORTARE ACASA
- 89. ONE SIZE DOESNOT FIT ALL
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- 99. Per Approfondire: • Links: – http://nosql.findthebest.com/ – http://www.dzone.com/mz/nosql – newsletter Nosql Weekly – http://www.nosql-database.org/ – http://couchdb.apache.org/ – http://www.mongodb.org/ – http://redis.io/ – http://www.orientdb.org/ – http://www.draftq.com/ebooks/DraftQ/the-little-mongodb-book 99
- 100. Photo Credits • http://www.flickr.com/photos/kunel/246544081/ • http://www.flickr.com/photos/lordcolus/5977615749/ • http://www.flickr.com/photos/gewitterhexer/5540504147/ • http://blog.thomsonreuters.com/index.php/big -data-graphic-of-the-day/ • http://www.cs.uic.edu/~jbell/CourseNotes/OperatingSystems/12_MassStorage.html • http://www.nathaninfocus.com/2011/01/social-networking-phenomenon/facebook-growth-chart/ • http://www.flickr.com/photos/phuonglovejesus2782010/5055970759/ • http://www.flickr.com/photos/kalexanderson/5944050340/ • http://www.flickr.com/photos/arichards-gallery/3578048793/ • http://www.flickr.com/photos/jabb/6956142046/ • http://www.flickr.com/photos/druclimb/47310529/ • http://www.flickr.com/photos/miggslives/5351504116/ • http://www.flickr.com/photos/polkadotcreations/2480587587/ • http://www.flickr.com/photos/wien/418840561/ • http://www.flickr.com/photos/heartlover1717/2605609803/ • http://www.flickr.com/photos/sepehrehsani/5766453552/ • http://www.flickr.com/photos/47108884@N07/6949078701/ • http://www.flickr.com/photos/ricephotos/354939144/ • http://www.flickr.com/photos/toptechwriter/3069396941/ • http://www.flickr.com/photos/djnordic/167433120/ • http://www.flickr.com/photos/jpstanley/69523927/ • http://www.flickr.com/photos/lodigs/2833648828/ • http://www.flickr.com/photos/ppym1/387781444/ • http://www.flickr.com/photos/freefoto/3844247553/ • http://www.flickr.com/photos/31492524@N00/3801200094/ • http://www.flickr.com/photos/sararah/2119107500/ • http://www.flickr.com/photos/wlef70/7507679760/ • http://www.flickr.com/photos/wold/369244351/ • http://www.flickr.com/photos/ilri/7839428936/ • http://www.flickr.com/photos/dhwright/8012651441/ • http://www.flickr.com/photos/birminghammag/7979485144/ • http://www.flickr.com/photos/capcase/4970062870/ • http://www.flickr.com/photos/aidanwojtas/5879866927/ 100
- 101. Stefano Maraspin Stefano Valle @maraspin @stefanovalle s.maraspin@mvassociati.it s.valle@mvassociati.it