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Киев 2017
Только реальные кейсы. Только актуальные тренды.
Marten as Document DB
for .NET applications
Konstantin Proskurdin
Marten as Document DB for .NET applications Киев 2017
Agenda
• Microservices and data
• Document Storage
• Marten
Marten as Document DB for .NET applications Киев 2017
Microservices and data
Marten as Document DB for .NET applications Киев 2017
Microservices and data
Marten as Document DB for .NET applications Киев 2017
Microservices and data
Marten as Document DB for .NET applications Киев 2017
Document Storage
• MongoDB
• RavenDB
• SQL Server
• xml, XPath
• JSON
• Oracle
• xml, XPath
• JSON
• PostgreSQL
• Hstore
• JSON
• HStore2
• JSONB
Marten as Document DB for .NET applications Киев 2017
SQL:2016, ISO/IEC TR 19075-
6:2017: SQL support for JavaScript
Object Notation (JSON)
• December 2016
• Standard uses strings to store JSON data, standard
defines functions that interpret strings as JSON data
• <expr> is [not] json
• json_object([key] <expr> value <expression> [,…])
• json_array([<expr>[,…]]) , json_array(<query>)
• json_arrayagg(<expr> [order by …])
• json_objectagg([key] <expr> value <expression>)
• json_exists(<json>, <path>)
• json_value(<json>, <path> [returning <type>])
• json_query(<json>, <path> …)
• json_table(<json>, <path> columns …)
• JSON Path
Marten as Document DB for .NET applications Киев 2017
PostgreSQL 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 contains the right
JSON
Marten as Document DB for .NET applications Киев 2017
PostgreSQL vs MongoDB
Marten as Document DB for .NET applications Киев 2017
JSONB Demo
Marten as Document DB for .NET applications Киев 2017
Marten IQueryable provider for
JSONB
Marten as Document DB for .NET applications Киев 2017
Marten Basics Demo
Marten as Document DB for .NET applications Киев 2017
Advanced features of Marten
• Querying with PostgreSQL
• Indexes
• Expression Indexes
• GIN Indexes
• Extending Marten's LINQ Support
• Profiling
• Foreign Keys
• Tenancy
Marten as Document DB for .NET applications Киев 2017
JSONB Indexes/Advanced Marten
Demo
Marten as Document DB for .NET applications Киев 2017
Summary
• Structured/Semi Structured data
• Document storages
• SQL:2016 JSON standard
• PostgreSQL
• Marten
Marten as Document DB for .NET applications Киев 2017
References
• http://blog.christianposta.com/posts/
• http://standards.iso.org/ittf/PubliclyAvailableStandar
ds/c067367_ISO_IEC_TR_19075-6_2017.zip
• https://modern-sql.com/blog/2017-06/whats-new-
in-sql-2016Document-oriented databases
• https://www.postgresql.org/docs/current/static/func
tions-json.html
• https://jasperfx.github.io/marten/documentation/
• https://www.postgresql.org/docs/9.6/static/gin-
intro.html
• https://www.slideshare.net/profyclub_ru/postgres-
vs-mongo-postgres-professional
Marten as Document DB for .NET applications Киев 2017
Contacts
Konstantin Proskurdin
Adver-Online
kproskurdin@adver-online.nl
Marten as Document DB for .NET applications Киев 2017
That’s all

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.NET Fest 2017. Константин Проскурдин. Marten как хранилище документов для .NET приложений

  • 1. Киев 2017 Только реальные кейсы. Только актуальные тренды. Marten as Document DB for .NET applications Konstantin Proskurdin
  • 2. Marten as Document DB for .NET applications Киев 2017 Agenda • Microservices and data • Document Storage • Marten
  • 3. Marten as Document DB for .NET applications Киев 2017 Microservices and data
  • 4. Marten as Document DB for .NET applications Киев 2017 Microservices and data
  • 5. Marten as Document DB for .NET applications Киев 2017 Microservices and data
  • 6. Marten as Document DB for .NET applications Киев 2017 Document Storage • MongoDB • RavenDB • SQL Server • xml, XPath • JSON • Oracle • xml, XPath • JSON • PostgreSQL • Hstore • JSON • HStore2 • JSONB
  • 7. Marten as Document DB for .NET applications Киев 2017 SQL:2016, ISO/IEC TR 19075- 6:2017: SQL support for JavaScript Object Notation (JSON) • December 2016 • Standard uses strings to store JSON data, standard defines functions that interpret strings as JSON data • <expr> is [not] json • json_object([key] <expr> value <expression> [,…]) • json_array([<expr>[,…]]) , json_array(<query>) • json_arrayagg(<expr> [order by …]) • json_objectagg([key] <expr> value <expression>) • json_exists(<json>, <path>) • json_value(<json>, <path> [returning <type>]) • json_query(<json>, <path> …) • json_table(<json>, <path> columns …) • JSON Path
  • 8. Marten as Document DB for .NET applications Киев 2017 PostgreSQL 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 contains the right JSON
  • 9. Marten as Document DB for .NET applications Киев 2017 PostgreSQL vs MongoDB
  • 10. Marten as Document DB for .NET applications Киев 2017 JSONB Demo
  • 11. Marten as Document DB for .NET applications Киев 2017 Marten IQueryable provider for JSONB
  • 12. Marten as Document DB for .NET applications Киев 2017 Marten Basics Demo
  • 13. Marten as Document DB for .NET applications Киев 2017 Advanced features of Marten • Querying with PostgreSQL • Indexes • Expression Indexes • GIN Indexes • Extending Marten's LINQ Support • Profiling • Foreign Keys • Tenancy
  • 14. Marten as Document DB for .NET applications Киев 2017 JSONB Indexes/Advanced Marten Demo
  • 15. Marten as Document DB for .NET applications Киев 2017 Summary • Structured/Semi Structured data • Document storages • SQL:2016 JSON standard • PostgreSQL • Marten
  • 16. Marten as Document DB for .NET applications Киев 2017 References • http://blog.christianposta.com/posts/ • http://standards.iso.org/ittf/PubliclyAvailableStandar ds/c067367_ISO_IEC_TR_19075-6_2017.zip • https://modern-sql.com/blog/2017-06/whats-new- in-sql-2016Document-oriented databases • https://www.postgresql.org/docs/current/static/func tions-json.html • https://jasperfx.github.io/marten/documentation/ • https://www.postgresql.org/docs/9.6/static/gin- intro.html • https://www.slideshare.net/profyclub_ru/postgres- vs-mongo-postgres-professional
  • 17. Marten as Document DB for .NET applications Киев 2017 Contacts Konstantin Proskurdin Adver-Online kproskurdin@adver-online.nl
  • 18. Marten as Document DB for .NET applications Киев 2017 That’s all

Editor's Notes

  1. Short introduction + about myself
  2. Short agenda
  3. general microservices stuff
  4. Local Data(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
  5. Shared data(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
  6. Overview and choose of document db * Why not xml, json in SQL/Oracle - speed * Why not RavenDB – not usable * Why not Mongo – too complicated in configuration
  7. Standard for JSON in RDMS from ISO Only Oracle and partially SQL Server support parts of standart
  8. non standard json operators but with native jsonb
  9. Oleg Bartunov(Бартунов) RIT++ 2017 Yahoo! Cloud Serving Benchmark
  10. show how jsonb works everything is good with JOSNB except it is not supported by EF
  11. One standard(IQueryable) for access both local data and shared data PostgreSQL 9.5+ .NET 4.6+ how it works in short Document Database & Event store
  12. start up with marten set up storage write data read data
  13. Advanced features of Marten
  14. B-Tree and GIN indexes, how to use it in Marten
  15. Shot summary Live experience of using Marten in company Amount of data that we used