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So use an array. type master cardnum 6274-2542-5847-3949 expiry 2018-12 master 2018-12 Simply add additional array element or update a value. Table Connections ConnId XYZ987 SKR007 Sam Smith ConnId XYZ987 Name Joe Smith ConnId SKR007 Name Sam Smith Simply add new key-value pairs No downtime to add new KV pairs Applications can validate data Relations via Reference D item amt mac 2823. 52 ipad2 623. 52 CustId XYZ987 CustId PQR823 Name Dylan Smith id 12 item mac amt 2823. 52 id 19...
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Step 1: Start by creating a new SQL table with the necessary columns to store the JSON data.
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Step 2: Use the INSERT INTO statement to add rows to the table.
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Step 3: Specify the JSON data using the appropriate syntax. For example, use double quotes for strings and curly braces for objects.
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Step 4: Use the JSON functions and operators provided by your SQL database system to query and manipulate the JSON data.

Who needs sql for json?

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Developers who work with applications or databases that involve JSON data may need to use SQL for JSON.
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SQL for JSON allows users to efficiently perform various operations on JSON data like querying, filtering, joining, and modifying.
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Organizations that store and analyze JSON data in their databases can benefit from using SQL to access and manipulate that data.
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SQL for JSON is a query language used to interact with JSON data in a relational database.
Anyone who needs to retrieve or manipulate JSON data in a database may need to use SQL for JSON.
You can use SQL statements that include JSON functions and operators to query, insert, update, and delete JSON data in a database.
The purpose of SQL for JSON is to provide a way to work with JSON data within a relational database using standard SQL syntax.
The specific information that needs to be reported in SQL for JSON will depend on the requirements of the database and the type of data being stored or manipulated.
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