Introduction to nosql

1. #NoSQL introduction
20-06-2013

2. Relational databases
1980 - now Transactions
ACID properties
Integration mechanism?

3. Weak points?

5. http://trnl.me/decks/01.10.12_mongodb_meetup_8/#9

7. http://smist08.files.wordpress.com/2012/01/nosql.png

8. Not using relational model
Running well on cluster
Open-source
Built for the 21st century web estates
Schemaless

9. Aggregate
data modeling

10. "Aggregate is a cluster of associated objects
that we treat as a unit for the purpose of data
changes."
Eric Evans
Domain driven design (2003)

12. {
"relatie": "A", "startDatum": "2013-06-20 10:00", "eindDatum": "2013-06-21 10:00",
"type": {
"omschrijving": "voorinspectie", "is_adhoc": false
},
"opdracht": {
"omschrijving": "Voorinspectie woning 20-06-2013"
},
"objecten": [
{
"omschrijving": "woonhuis", "bouwjaar": 2000,
"objecten": [
{
"omschrijving": "beneden verdieping"
},
{
"omschrijving": "1e verdieping"
},
{
"omschrijving": "2e verdieping"
}
]
}
]
}

13. Aggregate oriented databases:
● Key-value store
● Document store
● Column family store
Aggregate ignorant databases:
● Graph databases

14. Distribution models

15. Sharding
Replication
( Master-slave , Peer-to-peer )
Sharding + replication

16. http://trnl.me/decks/01.10.12_mongodb_meetup_8/#24

18. MapReduce

19. Type : Aantal
Map
Voorinspectie : 1
Voorinspectie : 1
Eindinspectie : 1
Eindinspectie : 1
=
"Calculate the amount of inspections per type"

20. Voorinspectie : 1
Voorinspectie : 1
Eindinspectie : 1
Eindinspectie : 1
Voorinspectie : 2
Eindinspectie : 2
Reduce

21. Demo's

22. Riak
● Key-value store
● Production support by Basho
● Text, images, JSON, XML
Use cases:
● Session data
● User preferences
● Shopping cart data

23. MongoDB
● Document store
● Production support by 10Gen
● XML, JSON, BSON
● Hierarchical tree data structure
Use cases:
● Event logging
● Blog platforms
● Realtime analytics
● E-commerce applications

24. Cassandra
● Column family store
● Production support by DataStax
Use cases:
● Event logging
● Blogging platforms
● Counters
● Expiry usage

25. Neo4J
● Graph database
● Property graph (node, edges)
● ACID properties

26. Use cases:
● Connected data
● Recommendation engines

27. Java frameworks
● Hibernate OGM
● Spring Data

28. NoSQL versus SQL
Pro:
● Horizontal scalability
● Stores any data
● High write or read throughput
Cons:
● Only stores data, no reporting or aggregation
● Eventually consistent

29. Related work
● Search engines, like ElasticSearch and Solr
● Blob / Object stores, like Ceph, OpenStack
Swift
● Analytics, like Hadoop, Storm

30. Use cases @Flusso
● Common solution to store large amounts of
documents and images. Known issue in
several projects.
● Manage state between mobile apps and
backend in aggregate store.

31. Summary
● Value of relational databases
● Two pitfalls:
○ Scalability
○ Mismatch OO and relation model
● NoSQL databases
○ Different modeling
○ Distribution models
○ CAP instead of ACID
○ 4 Types: Key-Value, Document, Column-Family,
Graph
● Demo's

32. Questions?

33. Thanks!
@jethrobakker
j.bakker@flusso.nl

34. Sources