1. PostgreSQL as a Document Storage for .NET applications
Konstantin Proskurdin
Adver-Online

2. Sponsors

3. #sqlsatdnipro

4. Bio Web Developer 10 years of experience in IT
9 years of DB experience
8 years of web experience
MSPD

5. Agenda Structured/Semi Structured data Document-oriented databases
PostgreSQL
Marten

6. Structured Data Data model explicitly determines the structure of data
Schema is fixed
Easy to visualize
A lot of Math
Ready-made query language, SQL

7. Semi-structured Data Self-describing structure
The schema can easily be changed
Helps to not worry about object-relational impedance mismatch
Support for nested or hierarchical data
Support for lists of objects
Can represent the information of some data sources that cannot be constrained by schema
Flexible format for data exchange between different types of databases

8. Semi-structured Data Usage
Document storage
Data exchange (Json, XML)
Shared data storage …

9. Document Storage
MongoDB
Caché
DocumentDB
RavenDB
PostgreSQL

10. PostgreSQL
Hstore
JSON
HStore2
JSONB

11. JSON vs JSONB JSON: textual storage “as is” JSONB: no whitespaces
JSONB: no duplicate keys, last key wins
JSONB: keys are sorted
JSONB: indexes could be used

12. JSON(B) Operators -> Get JSON object field by key
->> Get JSON object field as text
#> Get JSON object at specified path
#>> Get JSON object at specified path as text
@> Does the left JSON value contain the right JSON

13. Sample object

14. JSONB Demo

15. JSONB Indexes
Expression Indexes
GIN Indexes

16. JSONB Indexes Demo

17. Marten

18. Demo

19. Summary Structured/Semi Structured data Document-oriented databases
PostgreSQL
Marten

20. That’s all