![5
What does JSON look like?
{
“Make” : “Volkswagen”,
“Year” : 2003,
“Model” : {
“Base” : “Golf”,
“Trim” : “GL”
},
“Colors” : [“White”, “Pearl”, “Rust”],
“PurchaseDate” : “2006-10-05T00:00:00.000Z”
}](https://image.slidesharecdn.com/dbasvsdevelopers-jsoninsqlserver-170929111131/85/DBAs-vs-Developers-JSON-in-SQL-Server-5-320.jpg)
![8
Why use JSON?
Storage Size
<Car>
<Make>Volkswagen</Make>
<Year>2003</Year>
<Model>
<Base>Golf</Base>
<Trim>GL</Trim>
</Model>
<Colors>
<Color>White</Color>
<Color>Pearl</Color>
<Color>Rust</Color>
</Colors>
<PurchaseDate>
2006-10-05 00:00:00.000
</PurcaseDate>
</Car>
{
“Make” : “Volkswagen”,
“Year” : 2003,
“Model” : {
“Base” : “Golf”,
“Trim” : “GL”
},
“Colors” :
[“White”, “Pearl”, Rust”],
“PurchaseDate” :
“2006-10-05T00:00:00.000Z”
}
XML: 225 Characters JSON: 145 Characters](https://image.slidesharecdn.com/dbasvsdevelopers-jsoninsqlserver-170929111131/85/DBAs-vs-Developers-JSON-in-SQL-Server-8-320.jpg)
DBAs vs Developers: JSON in SQL Server
- 1. DBAs vs Developers: JSON in SQL Server | Bert Wagner | September 30, 2017 1
- 3. Background • BI developer @ Progressive Insurance for 6+ years • I ❤ JSON – I use it in APIs, hardware projects, websites • I also ❤ SQL – relational database structures 3
- 4. Overview • What is JSON? • Why use JSON? • When is it appropriate to store JSON in SQL? • Usage examples: • ETL and reporting • Database object maintenance • Performance parsing • Performance comparisons 4
- 5. 5 What does JSON look like? { “Make” : “Volkswagen”, “Year” : 2003, “Model” : { “Base” : “Golf”, “Trim” : “GL” }, “Colors” : [“White”, “Pearl”, “Rust”], “PurchaseDate” : “2006-10-05T00:00:00.000Z” }
- 6. 6 Why use JSON? Easy Processing var car = { "Make" : "Volkswagen" }; console.log(car.Make); // Output: Volkswagen car.Year = 2003; console.log(car); // Output: { "Make" : "Volkswagen", "Year" : 2003" } Javascript:
- 8. 8 Why use JSON? Storage Size <Car> <Make>Volkswagen</Make> <Year>2003</Year> <Model> <Base>Golf</Base> <Trim>GL</Trim> </Model> <Colors> <Color>White</Color> <Color>Pearl</Color> <Color>Rust</Color> </Colors> <PurchaseDate> 2006-10-05 00:00:00.000 </PurcaseDate> </Car> { “Make” : “Volkswagen”, “Year” : 2003, “Model” : { “Base” : “Golf”, “Trim” : “GL” }, “Colors” : [“White”, “Pearl”, Rust”], “PurchaseDate” : “2006-10-05T00:00:00.000Z” } XML: 225 Characters JSON: 145 Characters
- 9. 9 Appropriate Usage Staging Data • Load data raw • Validate • Transform
- 10. 10 Appropriate Usage Error Logging ErrorDate Component Data 2016-03-17 21:23:39 GetInventory { "Make : "Volkswagen", "Year" : 2003} 2016-03-19 12:59:31 Login { "User" : "Bert", "Referrer" : "http://google.com", "AdditionalDetails" : "Invalid number of login attempts" }
- 11. 11 Appropriate Usage Non-Analytical Data • Sessions • User preferences • Non-frequently changing variables • Admin emails • Static dropdown menus
- 15. Demos 1. ETL and reporting 2. Database object maintenance 3. Performance parsing w/ computed column indexes 4. SQL JSON vs XML vs .NET performance comparisons 15
- 16. Performance Results - XML 16 • JSON faster in almost all categories • If considering entire app performance, maybe faster in all categories
- 17. Performance Results - .NET 17 • Competitive with C# libraries • Indexes on computed columns are BLAZING!
- 18. 18 JSON – What’s new in SQL Server 2017? • Clustered column store indexes support nvarchar(max) • Compression • Faster (maybe) • In memory-optimized tables • Computed columns • All JSON functions supported
- 19. Recap 19 • Many good (and bad) uses for JSON in SQL exist • JSON can be fully manipulated in SQL Server 2016 • JSON is preferable to XML for new projects • JSON performance is comparable to .NET, faster with computed column indexes
- 20. Thank you! Twitter: @bertwagner Blog: https://bertwagner.com <- new post every Tuesday Vlog: https://bertwagner.com <- new video every Tuesday Email: bert@bertwagner.com 20
- 21. 21 Appendix Software for keeping screen region on top • On Top Replica Blog posts and YouTube videos: • SQL Server JSON Usage - Parsing • SQL Server JSON Usage - Creating • SQL Server JSON Usage - Updating, Adding, Deleting • Performance Comparisons - .NET • Performance Comparisons - XML • Performance Comparisons - .NET and XML Redux • JSON Computed Column Indexes • Jovan Popovic’s JSON posts Microsoft Connect • Add an option to JSON_MODIFY() to fully delete values from arrays
Editor's Notes
- #6: What is JSON, where it used, why is it used