Presentation is loading. Please wait.

Presentation is loading. Please wait.

SQL Server 2016 JSON Support FOR Data Warehousing

Similar presentations


Presentation on theme: "SQL Server 2016 JSON Support FOR Data Warehousing"— Presentation transcript:

1 SQL Server 2016 JSON Support FOR Data Warehousing
Sifiso W. Ndlovu @mafiswana

2 Agenda Part I: Convert JSON Data to Relational
Part II: Convert Relational Data to JSON

3 Agenda JSON Editor

4 PART I: Convert JSON Data to Relational

5 What Is JSON JSON (JavaScript Object Notation) is a lightweight, readable format for structuring data It is based on a subset of JavaScript language It is used primarily to transmit data between a server and web application, as an alternative to XML It is easy for humans to read and write. It is easy for machines to parse and generate

6 What Is JSON Sample JSON document

7 Convert JSON Data to Relational
Requirement for Data Warehouse, T-SQL, Report development JSON by itself doesn’t not make sense to business or reporting tools

8 Convert JSON Data to Relational
Available functions ISJSON OPENJSON JSON_VALUE

9 Convert JSON Data to Relational
ISJSON

10 Convert JSON Data to Relational
ISJSON Validates JSON content Returns 1 for a valid JSON dataset and 0 for invalids Demo

11 Convert JSON Data to Relational
OPENJSON Works similar to OPENXML Takes in an object and convert its data into rows and columns Demo

12 Convert JSON Data to Relational
JSON_VALUE Extracts a scalar value from a JSON string Demo

13 PART II: Convert Relational Data to JSON

14 Convert Relational Data to JSON
Unsupported Data Types Spatial Geometry, Geography, CLR (Common Language Runtime) Supported Data Types SQL Server Data Type JSON Data Type char, nchar, varchar, nvarchar, date, datetime, datetime2, time, datetimeoffset, uniqueidentifier, money string int, bigint, float, decimal, numeric number Bit Boolean  varbinary, binary, image, timestamp, rowversion BASE64-encoded string

15 Convert Relational Data to JSON
FOR JSON Clause AUTO Mode PATH Mode Options FOR JSON Clause ROOT INCLUDE_NULL_VALUES  WITHOUT_ARRAY_WRAPPER

16 Convert Relational Data to JSON
FOR JSON Clause AUTO Mode simplest way to convert relational data into a JSON the structure of the JSON output is determined by a combination of the order of columns in your SELECT statement as well as the tables that are referenced by the SELECT statement Demo

17 Convert Relational Data to JSON
FOR JSON Clause PATH Mode Without a dot syntax With a dot syntax

18 Convert Relational Data to JSON
FOR JSON Clause PATH Mode Without a dot syntax When you are using it without a dot syntax, it works similar to the AUTO mode in that it will generate a JSON output based on the ordering of columns in your SELECT statement Demo

19 Convert Relational Data to JSON
FOR JSON Clause PATH Mode With a dot syntax Used to organise the JSON output into child arrays Demo

20 Convert Relational Data to JSON
Options FOR JSON Clause ROOT Used assign a label to the top-level array Demo

21 Convert Relational Data to JSON
Options FOR JSON Clause INCLUDE_NULL_VALUES  Default behaviour when using FOR JSON clause is that NULL values will not be included in your JSON output This can be overridden by specifying the INCLUDE_NULL_VALUES option Demo

22 Convert Relational Data to JSON
Options FOR JSON Clause WITHOUT_ARRAY_WRAPPER Default every FOR JSON clause returns JSON data wrapped around square brackets To override this, use WITHOUT_ARRAY_WRAPPER option Demo

23 References www.SQLShack.com

24 Thank you to our sponsors

25 Questions


Download ppt "SQL Server 2016 JSON Support FOR Data Warehousing"

Similar presentations


Ads by Google