NoSQL & JSON
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This document discusses JSON and NoSQL databases. It provides an overview of JSON, including its use for serializing data objects and storing semi-structured data. It also discusses some key features of NoSQL databases, including flexible schemas, quicker setup times, massive scalability, and relaxed consistency compared to traditional relational databases. The document uses MongoDB as an example NoSQL database and highlights its use of collections and documents similar to tables and rows in relational databases.
![JSON
• Basic value
• number,string,boolean
• Objects{}
• label-value pairs
• Arrays[]
• list of value](https://image.slidesharecdn.com/nosqljson-141011130849-conversion-gate01/85/NoSQL-JSON-4-320.jpg)
NoSQL & JSON
- 1. NOSQL & JSON 2014/10/12 WU TIEN YANG
- 2. JSON
- 3. JSON JAVASCRIPT OBJECT NOTATION • serializing data objects • Human-readable,useful for data interchange • useful for storing semistructured data
- 4. JSON • Basic value • number,string,boolean • Objects{} • label-value pairs • Arrays[] • list of value
- 5. LIVE DEMO JSON EDITOR ONLINE
- 6. JSON Relational JSON Structure Tables Nest,label-value, array Schema Fix Flexible Queries simple expressive language XD,widely use Ordering None Arrays Implementation Native system NOSQL system
- 7. JSON JAVASCRIPT OBJECT NOTATION • Sets of label-value pairs • Arrays of values • Base values from predefined types JSON file JSON parse program objects syntactic error
- 8. WHEN JSON MEET PYTHON!
- 9. JSON JSON PYTHON Object dict array list,tuple str unicode null none number int,long,float encoding: python -> json json.dumps() decoding: json -> python json.loads()
- 10. LIVE DEMO
- 11. NOSQL
- 12. WHY WE CHOOSE NOSQL?
- 13. Relational DBMS face the problem! problem: semi-structure data poor performance problem: scaling difficult / expensive / impossible ->BIG DATA
- 14. NOSQL • SQL : Traditional relational DBMS • NOSQL = not only SQL • MASSIVE!
- 15. NOSQL NOSQL system V.S Traditional relational DBMS • Flexibles schema • Quicker / Cheaper to set up • Massive scalability • Relaxed consistency -high performance,availability
- 16. NOSQL NOSQL system V.S Traditional relational DBMS • Flexibles schema • Quicker / Cheaper to set up • Massive scalability • Relaxed consistency -high performance,availability no declarative query language -> more programming Relaxed consistency ->fewer guarantees
- 17. NOSQL MAPREDUCE FRAMEWORK • no data model,data stored in files • specific function • map(),reduce(),read(),write() • system provides fault-tolerance,scability
- 18. NOSQL MAPREDUCE FRAMEWORK • Map: divide problem into subproblems • map(item) -> <key,value>pairs • Reduce: do work on subproblems,combine result • reduce(key,lists of value) -> result
- 19. NOSQL MAPREDUCE EXAMPLE Web log analysis • record: User ID,URL,timestamp,additional-info • task: Count number of accesses for each domain • map(record) -> <domain,value> • reduce(domain,lists of value) -> <domain,sum>
- 20. NOSQL KEY-VALUE STORES • extremely simple interface • Data model: {key,value} pairs • Operation : insert , update , delete • implement : efficiency,scalability,fault-tolerance • record distributed to nodes base on key • eventual consistency
- 21. MONGODB
- 22. MONGODB NOSQL DATABASE RDBMS MongoDB Database Database Table collection Record/Row Document Column Field Primary Key _id a record = a document many documents = a collection
- 23. LIVE DOME TRY IT OUT !
- 24. REFERENCES • Stanford University -DB introduction to Databases • python library - storing json • mongoDB