JSON as a SQL Datatype
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This presentation goes over the advantages of JSON for encoding and some new use cases as a SQL data type.
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NoSQL for great good [hanoi.rb talk]![NoSQL for great good [hanoi.rb talk]](https://cdn.slidesharecdn.com/ss_thumbnails/kvs-hanoirb-150728163935-lva1-app6891-thumbnail.jpg?width=560&fit=bounds)
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JSON as a SQL Datatype
- 1. JSON in a SQLWorld By Robert Sell Twitter: @DukeOfNode Linkedin: http://www.linkedin.com/in/robert-sell
- 2. Who Am I • Application Architect & Data Engineer akaThe Data Donkey • The guy who creates money from information via our Analytic Product • In another life I ran and managed ecommerce operations and integrated them into IT Systems • Spent a large amount of time moving data and analyzing it so people can make good business decisions
- 3. Popular Ways to Encode KeyValue Information • UncomplexTuples (CSV,TSV) => (Rob, Sell) • XML (Soap) => <person><firstName>Rob</firstName><lastName>Sell</ lastName ></person> • JSON (YAML, CSON) => {“person”:{“firstName”: “Rob”, “lastName”: “Sell”}}
- 4. Great JSON Properties • First Class Support for Basic DataTypes: Numbers, Strings, Boolean • First Class Support for Collections! • First Class Support for Hierarchical Structures! • Other Stuff: Readable, Not Bloated, Easily ParsibleVia Javascript
- 5. NoSQL Advantages • Easy to get started • Loosely structured so easier to change • Easier to scale out then some SQL databases • Data is in a form closer to how the program thinks of it
- 6. WorkingWith Data Causes a War • OnlyYou Can Prevent Forest Fires !!! • SQL uses set and aggregation operators to manipulate and aggregate information • JSON and OOP languages uses map and reduce • SQL no longer equals flat data with JSON in it
- 7. JSON Comes to SQL • JSON in Postgres 9.4 and JSONB in 9.5 • MySQL in 5.7 • T-SQL in 2016
- 8. Why Use JSON in SQL • SQL is all ready your primary system for storing and transmitting data • It’s painful to make temporary classes for storage (statically typed languages) • Decent performance with very little transformation necessary • Databases normally apply logic to information so apply logic to JSON instead of in an application • You don’t want to lose information
- 9. Use Cases • DataWarehousing • Need to Backup data from external platform and use it later • Don’t want to pay for ETL applications to move data to SQL databases (Zendesk, Shopify, etc)