MySQL includes an aggregate function called JSON_OBJECTAGG()
. This function enables you to create a JSON object containing key-value pairs. More specifically, it lets you create this JSON object based on the results of a query.
It accepts two arguments, the first of these being used as a key and the second as a value. These arguments can be column names or expressions.
Syntax
The syntax goes like this:
JSON_OBJECTAGG(key, value)
Where key
is the column or expression that represents the key of the key/value pair, and value
is the column or expression that represents the value of the key/value pair.
Example
Here’s an example to demonstrate.
Here’s a common query we might run without the JSON_OBJECTAGG()
function:
SELECT District AS 'State', Name AS 'City', Population FROM City WHERE CountryCode = 'AUS' ORDER BY State;
Result:
+-----------------+---------------+------------+ | State | City | Population | +-----------------+---------------+------------+ | Capital Region | Canberra | 322723 | | New South Wales | Sydney | 3276207 | | New South Wales | Newcastle | 270324 | | New South Wales | Central Coast | 227657 | | New South Wales | Wollongong | 219761 | | Queensland | Brisbane | 1291117 | | Queensland | Gold Coast | 311932 | | Queensland | Townsville | 109914 | | Queensland | Cairns | 92273 | | South Australia | Adelaide | 978100 | | Tasmania | Hobart | 126118 | | Victoria | Melbourne | 2865329 | | Victoria | Geelong | 125382 | | West Australia | Perth | 1096829 | +-----------------+---------------+------------+
We can adjust that query, so that the Name
column (in this example we’ve given this column an alias of City
) becomes a key, and the Population
column becomes a value.
We also use a GROUP BY
clause to group the results by the District
column (in this case, we’ve created an alias for this column called State
).
SELECT District AS 'State', JSON_OBJECTAGG(Name, Population) AS 'City/Population' FROM City WHERE CountryCode = 'AUS' GROUP BY State;
Result:
+-----------------+-----------------------------------------------------------------------------------------+ | State | City/Population | +-----------------+-----------------------------------------------------------------------------------------+ | Capital Region | {"Canberra": 322723} | | New South Wales | {"Sydney": 3276207, "Newcastle": 270324, "Wollongong": 219761, "Central Coast": 227657} | | Queensland | {"Cairns": 92273, "Brisbane": 1291117, "Gold Coast": 311932, "Townsville": 109914} | | South Australia | {"Adelaide": 978100} | | Tasmania | {"Hobart": 126118} | | Victoria | {"Geelong": 125382, "Melbourne": 2865329} | | West Australia | {"Perth": 1096829} | +-----------------+-----------------------------------------------------------------------------------------+
In this case we grouped the cities by their state/district. However, if we just want one big JSON object containing all cities/populations for that country, we can remove the state/district (and its associated GROUP BY
clause) from the query altogether.
SELECT JSON_OBJECTAGG(Name, Population) AS 'City/Population' FROM City WHERE CountryCode = 'AUS';
Result:
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | City/Population | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | {"Perth": 1096829, "Cairns": 92273, "Hobart": 126118, "Sydney": 3276207, "Geelong": 125382, "Adelaide": 978100, "Brisbane": 1291117, "Canberra": 322723, "Melbourne": 2865329, "Newcastle": 270324, "Gold Coast": 311932, "Townsville": 109914, "Wollongong": 219761, "Central Coast": 227657} | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
Also see the JSON_ARRAYAGG()
function which allows you to aggregate your query results into a JSON array.