JavaScript Object Notation, commonly known as JSON, is a lightweight, text-based data interchange format that has become one of the most widely used standards for transmitting data across the internet.
Despite its origins in JavaScript, JSON has evolved into a language-independent format, making it an essential tool for developers working with any programming language or platform.
Continue readingJSON (JavaScript Object Notation) has become a ubiquitous data format for storing and exchanging information. SQL Server 2016 and later versions provide robust support for working with JSON data. This article explores some useful tips and tricks for handling JSON in T-SQL.
Continue readingFrom SQL Server 2022 we can use the JSON_PATH_EXISTS() function to test whether a specified SQL/JSON path exists in the input JSON string.
It’s similar to the JSON_CONTAINS_PATH() function that’s available in MySQL and MariaDB.
In SQL Server, we can use the JSON_ARRAY() function to construct JSON array text from zero or more expressions.
The resulting array contains the values we provide as arguments. Providing zero expressions results in an empty array.
Continue readingIn SQL Server, we can use the JSON_OBJECT() function to construct JSON object text from zero or more expressions.
The resulting object contains the key/value pairs that we provide as arguments. Providing zero expressions results in an empty object.
Continue readingMySQL 8.0.17 introduced a couple of functions that allow us to validate JSON documents against their schemas. These are listed below, with examples.
Continue readingMySQL provides us with a wide range of functions for working with JSON documents. Below are four MySQL functions that we can use to get information about JSON values.
Continue readingMySQL provides us with a few utility functions that act on JSON values, or strings that can be parsed as JSON values.
Below are three JSON utility functions that we can use for such tasks.
Continue readingWhen we create or modify a table in MySQL, we have the option of applying a CHECK constraint against one or more columns. This allows us to check the data before it enters the database. Data can only enter the database if it doesn’t violate the rules in our CHECK constraint.
If the column is a JSON column, we have the option of creating a CHECK constraint that checks that the JSON document doesn’t violate its JSON schema. To do this, we can include the schema in the CHECK constraint.
MySQL provides us with a bunch of functions and operators that allow us to search JSON documents for various things, such as specific values, paths, keys, etc.
Here are seven functions and three operators that search JSON documents in MySQL.
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