Generating SQL Stored Procedure Calls from JSON Parameters
Learn how to convert JSON objects into SQL stored procedure or function call statements. Covers named parameters, positional arguments, output parameters, and dialect-specific CALL syntax.
Detailed Explanation
JSON to Stored Procedure Calls
Sometimes instead of raw INSERT/UPDATE statements, you need to call a stored procedure with JSON data as parameters. This pattern is common in enterprise applications where business logic lives in the database.
Example JSON
{
"procedure": "sp_create_user",
"params": {
"p_name": "Alice",
"p_email": "alice@example.com",
"p_age": 30,
"p_department_id": 5,
"p_active": true
}
}
PostgreSQL Output
CALL sp_create_user(
p_name := 'Alice',
p_email := 'alice@example.com',
p_age := 30,
p_department_id := 5,
p_active := TRUE
);
MySQL Output
CALL sp_create_user(
'Alice',
'alice@example.com',
30,
5,
TRUE
);
SQL Server Output
EXEC sp_create_user
@p_name = 'Alice',
@p_email = 'alice@example.com',
@p_age = 30,
@p_department_id = 5,
@p_active = 1;
Parameter Styles
| Database | Named params | Positional | Prefix |
|---|---|---|---|
| PostgreSQL | param := value |
Yes | None |
| MySQL | Not supported | Yes | None |
| SQL Server | @param = value |
Yes | @ |
| Oracle | param => value |
Yes | None |
Batch Procedure Calls
For JSON arrays, generate multiple CALL statements:
[
{ "p_name": "Alice", "p_email": "alice@example.com" },
{ "p_name": "Bob", "p_email": "bob@example.com" }
]
CALL sp_create_user(p_name := 'Alice', p_email := 'alice@example.com');
CALL sp_create_user(p_name := 'Bob', p_email := 'bob@example.com');
Function Calls (SELECT)
For SQL functions that return values:
-- PostgreSQL
SELECT * FROM fn_get_user_details(p_user_id := 42);
-- MySQL
SELECT fn_get_user_details(42);
Output Parameters (SQL Server)
DECLARE @result INT;
EXEC sp_create_user
@p_name = 'Alice',
@p_email = 'alice@example.com',
@p_result = @result OUTPUT;
SELECT @result;
When to Use Stored Procedures
Stored procedures are appropriate when business logic, validation, or multi-table operations are encapsulated in the database. The JSON-to-procedure converter bridges the gap between API payloads and database-side logic.
Use Case
Enterprise applications often enforce data integrity through stored procedures rather than allowing direct table access. When receiving JSON payloads from microservices or message queues, converting them to stored procedure calls ensures business rules are applied consistently at the database level.
Try It — JSON to SQL
Related Topics
Flattening Nested JSON Objects for SQL INSERT
Batch Operations
Convert a Simple JSON Object to a SQL INSERT Statement
Basic INSERT
Generating SQL UPSERT (INSERT ON CONFLICT) from JSON
Advanced Patterns
Generating SQL UPDATE Statements from JSON Patch Data
Advanced Patterns
Converting JSON Arrays into Multiple SQL Rows
Batch Operations