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What's new in SQL Server 2016? | 2016, 2017 and 2018

What Is the difference between SQL 2012 and 2016?

Top 7 Features Coming to SQL Server 2016, let's see in the detail with examples.

1.    Query Store
2.    Polybase
3.    Stretch Database
4.    JSON Support
5.    Row Level Security
6.    Always Encrypted
7.    In-Memory Enhancements

Query Store

Microsoft maintains query store upgrading most of all versions but What happens in this version?

Actually, In this version Microsoft trying to maintains a history of query execution plans with query performance and quickly queries etc.


Microsoft is introduced Polybase,  This is a data processing technique that is called SQL Server connector.

This SQL connector provides the connectivity to Azure Blob Storage and Hadoop using database tables query and Its dealing to a lot of large text files.

Stretch Database

In this section, Microsoft is trying to reduce your storage cast by a hybrid feature that is called Stretch Database.

JSON Support

JSON Support Is very awesome features (,  Using these features you can direct querying to Hadoop, SQL Server 2016 and also support to Lingua Franca.

Row Level Security

The SQL Server 2016 provide row-level security. It's very useful for multi-tenant environments and Its provide the limit to access the data based on role etc.

Always Encrypted

The SQL Server 2016 has the feature to supported both column level encryption and encryption in transit as well. 

The Always The encrypted mechanism provided an easy way to encryption to data and makes much better security.

In-Memory Enhancements

This feature already introduce in SQL Server 2014 but it has some limitation over data and issues like no-locking-issues and high-volume-session state issues.

Now in SQL Server 2016, Fixed the issues and trying to improved memory mgmt and Its also supporting foreign keys, check and unique constraints and parallelism also.

Insert multiple level JSON data into SQL Server 2016 -
Now Native JSON support in SQL Server 2016 and it provides you some functions to read and parse your JSON object to table format.

1.      The OPENJSON () table value function transforms JSON object to one or many rows. It will not execute any command. It just returns a table row if JSON text is properly formatted. OPENJSON function will also work with JSON arrays and this function can also open nested/hierarchical JSON objects. OPENJSON will just return set of rows instead of a single row.
2.      The JSON_Value () is a scalar function and used to returns a value from JSON on the specified path.

There are some specific examples for OPENJSON read nested JSON –


SET @json=N'{
            "Skills":["SQL","C#","MVC","Angular 2, 4 and 5"]

set @json =N'[
        "CREATE_DT": 3443434343,
        "INCLUDEIND_IND": true,
        "CREATE_BY": "admin",
        "DOMAIN_ID": "Cable Length",
        "UPDATE_BY": null,
        "VISIBLE": true,
        "SOURCE": "OSB",
        "MIN_VALUE": 2,
        "UPDATE_DT": null,
        "VERSION": 1,
        "MAX_VALUE": 10
        "CREATE_DT": 34334343433,
        "INCLUDEIND_IND": true,
        "CREATE_BY": "admin",
        "DOMAIN_ID": "Number",
        "UPDATE_BY": null,
        "VISIBLE": true,
        "SOURCE": "COB",
        "MIN_VALUE": 1,
        "UPDATE_DT": null,
        "VERSION": 1,
        "MAX_VALUE": 10
        "CREATE_DT": 3434343,
        "INCLUDEIND_IND": true,
        "CREATE_BY": "admin",
        "DOMAIN_ID": "Number_concurrent_access",
        "UPDATE_BY": null,
        "VISIBLE": true,
        "SOURCE": "OCB",
        "MIN_VALUE": 1,
        "UPDATE_DT": null,
        "VERSION": 1,
        "MAX_VALUE": 5
             CREATE_DT VARCHAR(30),
             INCLUDEIND_IND VARCHAR(30),
             CREATE_BY VARCHAR(30),
             DOMAIN_ID VARCHAR(30) ,
             UPDATE_BY VARCHAR(30) ,
             VISIBLE VARCHAR(30)   ,
             SOURCE VARCHAR(30)             ,
             MIN_VALUE VARCHAR(30) ,
             UPDATE_DT VARCHAR(30) ,
             VERSION VARCHAR(30)   ,
             MAX_VALUE VARCHAR(30) ,
 INSERT INTO TBL_ConvertJSONToTableObject (
             VISIBLE ,
             SOURCE ,
             VERSION ,
                        CREATE_DT VARCHAR(30) '$.CREATE_DT',
                        INCLUDEIND_IND VARCHAR(30) '$.INCLUDEIND_IND',
                        CREATE_BY VARCHAR(30) '$.CREATE_BY',
                        DOMAIN_ID VARCHAR(30) '$.DOMAIN_ID',
                        UPDATE_BY VARCHAR(30) '$.UPDATE_BY',
                        VISIBLE VARCHAR(30) '$.VISIBLE',
                        SOURCE VARCHAR(30) '$.SOURCE',
                        MIN_VALUE VARCHAR(30) '$.MIN_VALUE',
                        UPDATE_DT VARCHAR(30) '$.UPDATE_DT',
                        VERSION VARCHAR(30) '$.VERSION',
                        MAX_VALUE VARCHAR(30) '$.MAX_VALUE'
SELECT * FROM TBL_ConvertJSONToTableObject

SELECT @json = N'{
            "Orders": [
                          "OrderID": 10100,
                          "CustomerID": 202000,
                          "OrderDetail": [{
                                      "ProductID": 302000,
                                      "UnitPrice": 4350     
                                      "ProductID": 203000,
                                      "UnitPrice": 4450
                                      "ProductID": 43000,
                                      "UnitPrice": 5560
SELECT  JSON_Value (c.value, '$.OrderID') as OrderID,
    JSON_Value (c.value, '$.CustomerID') as CustomerID,
    JSON_Value (p.value, '$.ProductID') as ProductID,
    JSON_Value (p.value, '$.UnitPrice') as UnitPrice
FROM OPENJSON (@json, '$.Orders') as c
                                CROSS APPLY OPENJSON (c.value, '$.OrderDetail') as p

Now you can download SQL Server 2016 from given below link
By Anil Singh | Rating of this article (*****)

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