Giving Hadoop a Microsoft-class UI with HDInsight and Datameer
Play SQL Server 2016 and JSON Support
Description
In this episode of Data Exposed Scott welcomes to the show Jovan Popovic to the show, Program Managers in the SQL Server group. Today Jovan is in the studio all the way from the Microsoft offices in Serbia to talk about the awesome topic of JSON in SQL Server 2016 and Azure SQL DB. The show begins with asking and answering the question of why JSON support in SQL Server 2016, and Jovan does a great job providing insight into how and where JSON is being used today and why it makes sense to include support for JSON in SQL Server.
At the 1:50 mark, Jovan shows us how JSON is implemented in SQL Server, the built in functions and operators, such as how to get or modify a JSON value or even checking if the the JSON is valid or not, and how easy it is to format data to and from JSON and to read and write data to and from SQL Server. Jovan explains that JSON is very lightweight and simple, and much better to work with than XML.
At the 5:50 mark Jovan dives a little deeper into the JSON built-in functions by showing us some examples and explaining how they work and what we can expect. He then spends a few minutes how each of these functions can be used in typical T-SQL queries, for example adding them in SELECT or WHERE clauses. Very awesome.
Finally, at the 9:30 mark, Jovan spends the remaining 20 minutes in full demo mode, showing us real-time how to use these functions including OPENJSON, JSON_MODIFY, ISJSON, and more! 20 minutes of demos on how flexible and awesome support for JSON in SQL Server 2016.
Great introduction into SQL Server JSON support. We look forward to having Jovan back for more videos on this topic!
https://www.microsoft.com/en-us/evalcenter/evaluate-sql-server-2016
https://www.microsoft.com/en-us/server-cloud/products/sql-server/
Download
Download this episode
- MP3 (34.9 MB)
- Low Quality MP4 (50.3 MB)
- High Quality MP4 (282.7 MB)
- Mid Quality MP4 (167.2 MB)
More episodes in this series
PolyBase Scale-out Groups in SQL Server 2016
Related episodes
R Services in SQL Server 2016
First Look at the new SQL Server Data Migration Assistant
Accelerating SQL Server 2016 peformance with Persistent Memory in Windows Server 2016
SQL Server 2016: It's Just Faster
Let's Talk SQL Server 2016 Security
SQL Server 2016 General Availability Announcement with Rohan Kumar
The Future of SQL PASS in the Microsoft Data Platform
The box is back – The future of SQL Server 2016 on premises
Microsoft Data Platform - Mobile First with Power BI
Keep pace in learning: How do I survive the innovation speed?
The Discussion
-
jkresic1 I'm only 22 minutes into the video, and I am amused that I heard Jason Bourne when they were discussing @json, '$.Born', !
-
mrsharps I LOVE how he is doing the examples! I like that most typical use cases with increasing difficulty get covered one by one. Great intro video. Well done!
-
Alex What shortcut to converts the JSON single line result into formatted JSON?
-
Celso Can somebody please help me out in What shortcut to converts the JSON single line result into formatted JSON?
-
keradininis Great tutorial, at a perfect pace.
Thank you
-
keradininis @Celso:Use Sql Operations Studio. It works there.
-
aaa a
-
heena bhalodia Code :-
--------------------------------------
DECLARE @Json NVARCHAR(MAX) = '
[
{
"RigthNumber":"RC01","RowVersion":[0,0,0,0,0,87,205,88]
},
{
"RigthNumber":"RC02","RowVersion":[0,0,0,0,0,87,205,89]
}
]
'
SELECT RigthNumber
,RowVersion
FROM
OPENJSON (@Json)
WITH (
RigthNumber varchar(50) '$.RigthNumber'
,RowVersion timestamp'$.RowVersion'
)
Current OutPut (Wrong Data in RowVersion)
-------------------------------------------
RigthNumber RowVersion
RC01 0x
RC02 0x
Expected OutPut
-----------------
RigthNumber RowVersion
RC01 0x000000000057CD8C
RC02 0x000000000057CD8D
Query : i dont get proper data for timestamp data type,can you help me?
datatype of RowVersion is timestamp -
apoovendran Very good explanation. Thanks.
-
Yotafreak json, '$.Born' will be the new Jason Bourne working title in 2019 :P -
Suhaskoorse Could you please paste the SQL code, So I could try out.
Appreciate your help this is great