In 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.
MySQL 8.0.17 introduced a couple of functions that allow us to validate JSON documents against their schemas. These are listed below, with examples.
MySQL 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.
MySQL 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.
When 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.
MySQL provides us with a bunch of functions that can modify JSON values. Here are ten functions that we can use to modify JSON values in MySQL.
In MySQL, we have several options when it comes to extracting data from JSON documents. Below are six methods we can use to do this.
MySQL includes some inbuilt functions that can be used to create JSON values, such as JSON arrays, JSON objects, or a quoted string literal.
Here are seven functions that allow us to create JSON values in MySQL.
Below is a list of the JSON functions and operators available in MySQL.