Apr 2, 2025 · We will learn how JSON fits into SQL, demonstrate how to store JSON data in SQL tables and cover the most common JSON functions like ISJSON(), JSON_VALUE(), JSON_MODIFY(), and more.

Nov 22, 2024 · You can organize collections of your JSON documents in tables, establish relationships between them, combine strongly typed scalar columns stored in tables with flexible key/value pairs stored in JSON columns, and query both scalar and JSON values in one or more tables by using full Transact-SQL.

Sep 16, 2018 · JSON_TABLE will convert (part of) a JSON document into a relational table. In this blog post, I will show you how to do this and discuss how JSON_TABLE enables new ways of processing JSON data with SQL.

Jun 23, 2019 · For the first time, I am working with a table in MySQL where some of the fields contain JSON. I am trying to use the json_table function so that i can use the json data in a relational script. All of the guides on json_table give this type of …

Mar 15, 2025 · Parsing, querying, and storing JSON data in SQL. Using SQL functions to extract and manipulate JSON data. Best practices for optimizing performance and maintaining data integrity. Prerequisites: Basic understanding of SQL and JSON. Familiarity with a SQL database like PostgreSQL. Technologies/Tools Needed: PostgreSQL 12 or higher.

Dec 10, 2024 · If you want to get JSON data from a table and show it in a table format using OPENJSON, you’ll need to use the CROSS APPLY feature to reference a table. Here’s an example using our table: SELECT p.id, p.product_name, p.attributes, a.[key], a.[value] FROM product p CROSS APPLY OPENJSON (p.attributes) a;

Mar 27, 2025 · The JSON functionality in SQL Server consists primarily of a set of functions that make working with JSON data intuitive and performant, and these will be covered in the following sections. JSON functions. Let’s take a look at some of the key functions you’ll need to know when working with JSON in SQL Server.

By leveraging JSON functions like JSON_VALUE(), JSON_QUERY(), JSON_MODIFY(), ISJSON(), and OPENJSON(), developers can efficiently store, query, and manipulate JSON data within SQL Server. However, it’s essential to use JSON judiciously and in conjunction with traditional relational design principles to achieve the best performance and ...

A maximum of 3 JSON columns per NDB table is supported. Partial Updates of JSON Values. In MySQL 9.3, the optimizer can perform a partial, in-place update of a JSON column instead of removing the old document and writing the new document in its entirety to the column. This optimization can be performed for an update that meets the following ...

This section contains information about JSON functions that convert JSON data to tabular data. MySQL 9.3 supports one such function, JSON_TABLE(). JSON_TABLE(expr, path COLUMNS (column_list) [AS] alias) Extracts data from a JSON document and returns it as a relational table having the specified columns.