NoSQL Overview

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Kai Feng Zhang

MongoDB vs. Riak

Technologie

Agenda
 Why NoSQL?
 NoSQL Overview
 MongoDB vs. Riak

5/18/2012 2

NoSQL History
 1998, Carlo Strozzi, “NoREL”
 2009, Eric Evans, “NoSQL”
 2011, UnQL, superset of SQL

No SQL vs. Not Only SQL

5/18/2012 3

Why NoSQL Happened
 Web scale
 Data changes over time
 NoSQL becomes commodity

5/18/2012 4

NoSQL Features
 Not require fixed table schema
 Not use SQL as query language
 Usually avoid join operation
 Not give full ACID guarantees
 Distributed, fault-tolerant architecture

5/18/2012 5

Scenarios for NoSQL
 Performance and real-time nature over
consistency
 High scalability
 Store and retrieve huge quantity of data
 Not require a relational model

5/18/2012 6

NoSQL Taxonomy
 Document Store
 Collections (Table)
 Document (Row)
 Key-value Store
 Graph
 Column Family

5/18/2012 7

Some Concepts
 CAP Theorem
 Distribution Model
 ACID
 Eventual Consistency

5/18/2012 8

Setup
Mongo Riak

 All major OS • No official support
 Stable and of Windows
experimental • Robust support of
Linux
• Nature cluster

5/18/2012 13

Tooling
Mongo Riak

• Cmd line tool • Poor
• Web interface
• 3rd party solutions

5/18/2012 14

Driver Support
Mongo Riak

• C/C++, Java, • C/C++, Java
• Erlang • Erlang
• PHP, Python, • PHP, Python,
Ruby Ruby
• Perl, Scala, .NET
• Node.js, JS

5/18/2012 15

CRUD(.NET)
Mongo Riak

• Excellent drivers • Corrugated Iron
support • RESTful API
• Straightforward

5/18/2012 16

Query Complexity
Mongo Riak

• Secondary index • Corrugated Iron
• MapReduce in query broken
JavaScript • RESTful API to
test

5/18/2012 17

ID Generation
Mongo Riak

• Incremental • No viable solution
document field

5/18/2012 18

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NoSQL Overview

1. Kaifeng Zhang & Yuheng Wang

2. Agenda  Why NoSQL?  NoSQL Overview  MongoDB vs. Riak 5/18/2012 2

3. NoSQL History  1998, Carlo Strozzi, “NoREL”  2009, Eric Evans, “NoSQL”  2011, UnQL, superset of SQL No SQL vs. Not Only SQL 5/18/2012 3

4. Why NoSQL Happened  Web scale  Data changes over time  NoSQL becomes commodity 5/18/2012 4

5. NoSQL Features  Not require fixed table schema  Not use SQL as query language  Usually avoid join operation  Not give full ACID guarantees  Distributed, fault-tolerant architecture 5/18/2012 5

6. Scenarios for NoSQL  Performance and real-time nature over consistency  High scalability  Store and retrieve huge quantity of data  Not require a relational model 5/18/2012 6

7. NoSQL Taxonomy  Document Store  Collections (Table)  Document (Row)  Key-value Store  Graph  Column Family 5/18/2012 7

8. Some Concepts  CAP Theorem  Distribution Model  ACID  Eventual Consistency 5/18/2012 8

9. 5/18/2012 9

10. 5/18/2012 10

11. 5/18/2012 11

12.

13. Setup Mongo Riak  All major OS • No official support  Stable and of Windows experimental • Robust support of Linux • Nature cluster 5/18/2012 13

14. Tooling Mongo Riak • Cmd line tool • Poor • Web interface • 3rd party solutions 5/18/2012 14

15. Driver Support Mongo Riak • C/C++, Java, • C/C++, Java • Erlang • Erlang • PHP, Python, • PHP, Python, Ruby Ruby • Perl, Scala, .NET • Node.js, JS 5/18/2012 15

16. CRUD(.NET) Mongo Riak • Excellent drivers • Corrugated Iron support • RESTful API • Straightforward 5/18/2012 16

17. Query Complexity Mongo Riak • Secondary index • Corrugated Iron • MapReduce in query broken JavaScript • RESTful API to test 5/18/2012 17

18. ID Generation Mongo Riak • Incremental • No viable solution document field 5/18/2012 18

Notes de l'éditeur

Typical modern relational database show poor performance on data-intensive app: - indexing a large number of document - serving pages on high-traffic websites - delivering streaming media

NoSQL Overview

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Notes de l'éditeur