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JSON Usage and
Performance in
SQL Server 2016
NEO SQL Server User Group | Bert Wagner | April 4, 2017
1
Background
● BI developer at Progressive Insurance for 6+ years
● I love JSON - I use it in APIs, hardware projects, websites
● I also love SQL and relational database structures
● Slide, demos, code is available on bertwagner.com
3
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
4
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
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:
7
Why use JSON?
APIs
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
Appropriate Usage
Staging Data
● Load data raw
● Validate
● Transform
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
Appropriate Usage
Non-Analytical Data
● Sessions
● User preferences
● Non-frequently changing variables
○ Admin emails
○ Static dropdown menus
12
Inappropriate Usage
High-Performance Requirements
13
Inappropriate Usage
Validation/Integrity Requirements
14
Inappropriate Usage
Being Lazy
Demos
1. ETL and reporting
2. Database object maintenance
3. Performance parsing
15
Performance Results
16
● Indexes on computed columns are the solution
● Faster than C# libraries in some cases
Recap
17
● Many good (and bad) uses for JSON in SQL exist
● JSON can be fully manipulated in SQL Server 2016
● Performance is fast, especially with computed
column indexes
Thank you!
● Twitter: @bertwagner
● Blog: https://bertwagner.com
● Email: bertwagner@bertwagner.com
18

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Json usage and performance in sql server 2016

  • 1. JSON Usage and Performance in SQL Server 2016 NEO SQL Server User Group | Bert Wagner | April 4, 2017 1
  • 2.
  • 3. Background ● BI developer at Progressive Insurance for 6+ years ● I love JSON - I use it in APIs, hardware projects, websites ● I also love SQL and relational database structures ● Slide, demos, code is available on bertwagner.com 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 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 15
  • 16. Performance Results 16 ● Indexes on computed columns are the solution ● Faster than C# libraries in some cases
  • 17. Recap 17 ● Many good (and bad) uses for JSON in SQL exist ● JSON can be fully manipulated in SQL Server 2016 ● Performance is fast, especially with computed column indexes
  • 18. Thank you! ● Twitter: @bertwagner ● Blog: https://bertwagner.com ● Email: bertwagner@bertwagner.com 18

Editor's Notes

  1. What is JSON, where it used, why is it used