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.

Real-World Scenarios

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

Open full tool