Json Data in SQL Server


The rise of NoSQL database such as mongoDb is largely due to the agility to store data in non-structured format. A fixed schema is not required like traditional relational databases such as SQL Server.

However, NoSQL database such as mongoDb is not a full-fledged database system. It is designed for very specific use cases. If you don’t know why you need to use NoSQL in your system, chances are you don’t need to. For those who find it essential to use a NoSQL database, often they only use NoSQL database for certain portion of their system and then use another RDBMS for the remaining part of their system that have more traditional business use cases.

Wouldn’t it be nice if RDBMS is able to support similar data structure – having the ability to store flexible data format without altering database tables?

Yes, it is possible. For years, software developers have been storing various JSON data in one table column. Then, developers will make use of library such as Newtonsoft.Json within the application (data access layer) to deserialize the data to make sense out of the JSON data.

Reading / Deserializing JSON

This works. However “JsonConvert.DeserializeObject” method is working extremely hard to deserialize the whole JSON data to only retrieve a simple field such as Name.

Imagine there is a requirement for searching certain Genres on a table that has 1 million row of records, the application codes will have to read 1 million row of records, then perform filtering on the application side. Bad for performance. Now imagine if you have a more complex data structure than the example above…

The searching mechanism will be much efficient if developers can pass a query (SQL statement) for database to handle the filtering. Unfortunately SQL Server does not support querying JSON data out of the box.

It is impossible to directly query JSON data in SQL Server until the introduction of a library known as JSON SelectJSON Select allows you to write SQL statement to query JSON data directly from SQL Server.

How JSON Select Works

First you need to download an installer from their website. When you run the installer, you need to specify the database you wish to install this library at:


What this installer essentially does is to create 10 functions in the database you have targeted. You can see the functions at:

SSMS > Databases > [YourTargetedDatabase] > Programmability > Functions > Scalar-valued Functions


Next, you can start pumping in some JSON data in your table to test it out.

I create a Student table with the following structure for my experiment:


In my StudentData column, I enter multiple rows of records in the following structure:

For demonstrating the query purpose, I have entered multiple rows as following:


If you want to write a simple statement to read the list of student names in JSON data, you can simply write:

You will get result as following in SSMS:


How about more complex query? Does it work with Aggregate Functions?

If you want to find out about how many students come from each city and what is their average age, you can write your SQL Statement as following:

You will get result as following in SSMS:


It appears the library allows you to query any JSON data in your table column using normal T-SQL syntax. The only difference is you need to make use of the predefined scalar-valued functions to wrap around the values you want to retrieve.

Few Last Thoughts…

  1. The good about this library is it allows developers to have hybrid version of storage (NoSQL & relational database) under one roof – minus the deserialize code at application layer. Developer can continue using the classical RDBMS for typical business use cases and leverage on the functions provided in the library to deal with JSON data.
  2. The bad about this library is it lacks proven track record and commercial use cases to demonstrate the robustness and stability.
  3. Although the library is not free, the license cost is relatively affordable at $AU 50. However the library is free for evaluation.
  4. SQL Server 2016 provides native support for JSON data. This library is only useful for SQL Server 2005 to 2014 where upgrading to 2016 is not a feasible option.

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