
- MySQL - Home
- MySQL - Introduction
- MySQL - Features
- MySQL - Versions
- MySQL - Variables
- MySQL - Installation
- MySQL - Administration
- MySQL - PHP Syntax
- MySQL - Node.js Syntax
- MySQL - Java Syntax
- MySQL - Python Syntax
- MySQL - Connection
- MySQL - Workbench
- MySQL Databases
- MySQL - Create Database
- MySQL - Drop Database
- MySQL - Select Database
- MySQL - Show Database
- MySQL - Copy Database
- MySQL - Database Export
- MySQL - Database Import
- MySQL - Database Info
- MySQL Users
- MySQL - Create Users
- MySQL - Drop Users
- MySQL - Show Users
- MySQL - Change Password
- MySQL - Grant Privileges
- MySQL - Show Privileges
- MySQL - Revoke Privileges
- MySQL - Lock User Account
- MySQL - Unlock User Account
- MySQL Tables
- MySQL - Create Tables
- MySQL - Show Tables
- MySQL - Alter Tables
- MySQL - Rename Tables
- MySQL - Clone Tables
- MySQL - Truncate Tables
- MySQL - Temporary Tables
- MySQL - Repair Tables
- MySQL - Describe Tables
- MySQL - Add/Delete Columns
- MySQL - Show Columns
- MySQL - Rename Columns
- MySQL - Table Locking
- MySQL - Drop Tables
- MySQL - Derived Tables
- MySQL Queries
- MySQL - Queries
- MySQL - Constraints
- MySQL - Insert Query
- MySQL - Select Query
- MySQL - Update Query
- MySQL - Delete Query
- MySQL - Replace Query
- MySQL - Insert Ignore
- MySQL - Insert on Duplicate Key Update
- MySQL - Insert Into Select
- MySQL Indexes
- MySQL - Indexes
- MySQL - Create Index
- MySQL - Drop Index
- MySQL - Show Indexes
- MySQL - Unique Index
- MySQL - Clustered Index
- MySQL - Non-Clustered Index
- MySQL Operators and Clauses
- MySQL - Where Clause
- MySQL - Limit Clause
- MySQL - Distinct Clause
- MySQL - Order By Clause
- MySQL - Group By Clause
- MySQL - Having Clause
- MySQL - AND Operator
- MySQL - OR Operator
- MySQL - Like Operator
- MySQL - IN Operator
- MySQL - ANY Operator
- MySQL - EXISTS Operator
- MySQL - NOT Operator
- MySQL - NOT EQUAL Operator
- MySQL - IS NULL Operator
- MySQL - IS NOT NULL Operator
- MySQL - Between Operator
- MySQL - UNION Operator
- MySQL - UNION vs UNION ALL
- MySQL - MINUS Operator
- MySQL - INTERSECT Operator
- MySQL - INTERVAL Operator
- MySQL Joins
- MySQL - Using Joins
- MySQL - Inner Join
- MySQL - Left Join
- MySQL - Right Join
- MySQL - Cross Join
- MySQL - Full Join
- MySQL - Self Join
- MySQL - Delete Join
- MySQL - Update Join
- MySQL - Union vs Join
- MySQL Keys
- MySQL - Unique Key
- MySQL - Primary Key
- MySQL - Foreign Key
- MySQL - Composite Key
- MySQL - Alternate Key
- MySQL Triggers
- MySQL - Triggers
- MySQL - Create Trigger
- MySQL - Show Trigger
- MySQL - Drop Trigger
- MySQL - Before Insert Trigger
- MySQL - After Insert Trigger
- MySQL - Before Update Trigger
- MySQL - After Update Trigger
- MySQL - Before Delete Trigger
- MySQL - After Delete Trigger
- MySQL Data Types
- MySQL - Data Types
- MySQL - VARCHAR
- MySQL - BOOLEAN
- MySQL - ENUM
- MySQL - DECIMAL
- MySQL - INT
- MySQL - FLOAT
- MySQL - BIT
- MySQL - TINYINT
- MySQL - BLOB
- MySQL - SET
- MySQL Regular Expressions
- MySQL - Regular Expressions
- MySQL - RLIKE Operator
- MySQL - NOT LIKE Operator
- MySQL - NOT REGEXP Operator
- MySQL - regexp_instr() Function
- MySQL - regexp_like() Function
- MySQL - regexp_replace() Function
- MySQL - regexp_substr() Function
- MySQL Fulltext Search
- MySQL - Fulltext Search
- MySQL - Natural Language Fulltext Search
- MySQL - Boolean Fulltext Search
- MySQL - Query Expansion Fulltext Search
- MySQL - ngram Fulltext Parser
- MySQL Functions & Operators
- MySQL - Date and Time Functions
- MySQL - Arithmetic Operators
- MySQL - Numeric Functions
- MySQL - String Functions
- MySQL - Aggregate Functions
- MySQL Misc Concepts
- MySQL - NULL Values
- MySQL - Transactions
- MySQL - Using Sequences
- MySQL - Handling Duplicates
- MySQL - SQL Injection
- MySQL - SubQuery
- MySQL - Comments
- MySQL - Check Constraints
- MySQL - Storage Engines
- MySQL - Export Table into CSV File
- MySQL - Import CSV File into Database
- MySQL - UUID
- MySQL - Common Table Expressions
- MySQL - On Delete Cascade
- MySQL - Upsert
- MySQL - Horizontal Partitioning
- MySQL - Vertical Partitioning
- MySQL - Cursor
- MySQL - Stored Functions
- MySQL - Signal
- MySQL - Resignal
- MySQL - Character Set
- MySQL - Collation
- MySQL - Wildcards
- MySQL - Alias
- MySQL - ROLLUP
- MySQL - Today Date
- MySQL - Literals
- MySQL - Stored Procedure
- MySQL - Explain
- MySQL - JSON
- MySQL - Standard Deviation
- MySQL - Find Duplicate Records
- MySQL - Delete Duplicate Records
- MySQL - Select Random Records
- MySQL - Show Processlist
- MySQL - Change Column Type
- MySQL - Reset Auto-Increment
- MySQL - Coalesce() Function
MySQL - JSON_OBJECTAGG() Function
The MySQL JSON_OBJECTAGG() function accepts the names of two columns of a table as arguments and returns a JSON object literal as a result which have the entities of first argument as keys and the entities of the second argument as values.
JSON object literals are stored in the form of key-value pairs and are enclosed by curly braces {}. Keys must be strings, and values must be a valid JSON data type: string, number, object, array, boolean, NULL. Each key-value pair is separated by a comma.
If the specified columns have no rows this function returns NULL.
Syntax
Following is the syntax of MySQL JSON_OBJECTAGG() function −
JSON_OBJECTAGG(key, value);
Parameters
This method accepts two parameters. The same is described below −
key: The expression whose distinct values will be used as keys in the resulting JSON object.
value: The expression whose values will be associated with the corresponding keys in the resulting JSON object.
Return value
This function aggregates key-value pairs into a JSON object.
Example
Following is an example demonstrating the usage of this function. Assume we have created a table with name CUSTOMERS using CREATE statement as shown below −
CREATE TABLE CUSTOMERS ( ID INT AUTO_INCREMENT, NAME VARCHAR(20) NOT NULL, AGE INT NOT NULL, ADDRESS CHAR (25), SALARY DECIMAL (18, 2), PRIMARY KEY (ID) );
The below query inserts 7 records into the above created table −
INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY) VALUES (1, 'Ramesh', 32, 'Ahmedabad', 2000.00 ), (2, 'Khilan', 25, 'Delhi', 1500.00 ), (3, 'Kaushik', 23, 'Kota', 2000.00 ), (4, 'Chaitali', 25, 'Mumbai', 6500.00 ), (5, 'Hardik', 27, 'Bhopal', 8500.00 ), (6, 'Komal', 22, 'Hyderabad', 4500.00 ), (7, 'Muffy', 24, 'Indore', 10000.00 );
To verify whether the records are inserted, execute the following query −
Select * From CUSTOMERS;
Following is the CUSTOMERS table −
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.00 |
2 | Khilan | 25 | Delhi | 1500.00 |
3 | Kaushik | 23 | Kota | 2000.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
5 | Hardik | 27 | Bhopal | 8500.00 |
6 | Komal | 22 | Hyderabad | 4500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
The below query creates a single JSON object with key-value pairs, using the names of customers as keys and their salaries as values −
SELECT JSON_OBJECTAGG(NAME, SALARY) as Salaries from CUSTOMERS;
This will produce the following result −
Salaries |
---|
{ "Komal": 4500.00, "Muffy": 10000.00, "Hardik": 8500.00, "Khilan": 1500.00, "Ramesh": 2000.00, "Kaushik": 2000.00, "Chaitali": 6500.00 } |
Following query groups the salaries of the customers, based on the AGE −
SELECT AGE, JSON_OBJECTAGG(NAME, SALARY) as Salaries FROM CUSTOMERS GROUP BY AGE;
This will produce the following result −
AGE | Salaries |
---|---|
22 | {"Komal": 4500.00} |
23 | {"Kaushik": 2000.00} |
24 | {"Muffy": 10000.00} |
25 | {"Khilan": 1500.00, "Chaitali": 6500.00} |
27 | {"Hardik": 8500.00} |
32 | {"Ramesh": 2000.00} |