SQL to XML Converter Online

How to Use the SQL to XML Converter Tool

The SQL to XML Converter Tool allows you to easily convert SQL queries (specifically INSERT INTO statements) into structured XML format. Follow the guide below to understand how to use the tool.

Step-by-Step Guide

1. Enter or Upload SQL Query

Option 1: Manually Enter SQL Code
- In the left-side SQL editor, you can directly type or paste your SQL query where it says:

-- Paste your SQL query here, or upload a file. 
SELECT * FROM employees;

Option 2: Upload SQL File
- Click the Upload SQL File button (with the upload icon) to upload a .sql file from your computer. Once uploaded, the file’s contents will automatically appear in the SQL editor.

2. Upload SQL via URL

If your SQL file is hosted online, you can upload it using the Upload via URL option:
- Click the Upload via URL button (with the link icon). A URL input field will appear.
- Paste the URL of your SQL file and click Submit. The tool will fetch the SQL file and display it in the SQL editor.
Note: Click the Upload via URL button again to hide the URL input field if you change your mind.

3. Minify SQL

To remove unnecessary white spaces and line breaks from your SQL query, click the Minify SQL button (with the compress icon). This is useful when you want to make your SQL more compact.

4. Adjust Font Size

You can change the font size of the SQL editor for better readability:
- Click the Font Size button (text height icon).
- Options include:
  - Increase Font
  - Decrease Font
  - Reset Font (to return to the default size).

5. Convert SQL to XML

As you enter your SQL query, the tool automatically converts INSERT INTO statements into XML format in real time. The XML output will appear in the right-hand panel.
The SQL to XML Converter works best with SQL INSERT INTO statements. It will convert the rows of data in the SQL query into structured XML elements.

6. Download SQL or XML

After the conversion, you can download both the original SQL and the converted XML:
- Download SQL: Click the Download SQL button (with the download icon) to save the SQL file.
- Download XML: Click the Download XML button (with the download icon) to save the XML output.

7. Copy SQL or XML to Clipboard

Once you click Copy, the button text will temporarily change to Copied! to confirm that the content has been copied to your clipboard.

You can copy both the SQL and XML code to your clipboard:

Copy SQL: Click the Copy SQL button (with the copy icon) to copy the SQL query.

Copy XML: Click the Copy XML button (with the copy icon) to copy the XML output.

Common Use Cases

Data Transformation: When migrating SQL data into systems that require XML input, this tool can quickly convert SQL data to XML format.
API Development: Developers working with APIs that require XML data can easily convert SQL queries into XML for seamless integration.
Data Backup and Sharing: Convert SQL data into XML for better interoperability between different systems.

Samples SQL Queries to Test the Tool

Comprehensive SQL with Multiple Data Types and Constraints

CREATE TABLE employees (
    employee_id INT PRIMARY KEY,
    first_name VARCHAR(50),
    last_name VARCHAR(50),
    email VARCHAR(100),
    hire_date DATE NOT NULL,
    salary DECIMAL(10, 2) CHECK (salary > 0)
);

INSERT INTO employees (employee_id, first_name, last_name, email, hire_date, salary) VALUES
(101, 'John', 'Doe', 'john.doe@example.com', '2023-01-15', 55000.00),
(102, 'Jane', 'Smith', 'jane.smith@example.com', '2021-03-12', 62000.00),
(103, 'Emily', 'Johnson', 'emily.johnson@example.com', '2022-07-21', 72000.00),
(104, 'Michael', 'Brown', 'michael.brown@example.com', '2020-11-30', 48000.00);

Purpose: This query involves different data types such as INT, VARCHAR, DATE, and DECIMAL. It also includes a CHECK constraint for the salary field. You can test how the tool converts complex data into XML format, especially when combining different data types.

2. SQL Insert with Nested Foreign Keys and Null Values

CREATE TABLE customers (
    customer_id INT PRIMARY KEY,
    first_name VARCHAR(50),
    last_name VARCHAR(50),
    email VARCHAR(100),
    phone_number VARCHAR(15)
);

CREATE TABLE orders (
    order_id INT PRIMARY KEY,
    customer_id INT,
    order_date DATE,
    amount DECIMAL(10, 2),
    FOREIGN KEY (customer_id) REFERENCES customers(customer_id)
);

INSERT INTO customers (customer_id, first_name, last_name, email, phone_number) VALUES
(1, 'Alice', 'Brown', 'alice.brown@example.com', '555-1234'),
(2, 'Bob', 'Green', 'bob.green@example.com', NULL),
(3, 'Charlie', 'White', 'charlie.white@example.com', '555-9876');

INSERT INTO orders (order_id, customer_id, order_date, amount) VALUES
(201, 1, '2023-11-05', 120.75),
(202, 2, '2023-11-15', 220.30),
(203, 3, '2023-11-25', 340.00);

Purpose: This query includes foreign key relationships between customers and orders as well as NULL values in the phone_number field. It tests how the tool handles relational data and missing values when converting SQL to XML.

3. SQL Insert with Special Characters and Escaping

CREATE TABLE articles (
    article_id INT PRIMARY KEY,
    title VARCHAR(255),
    content TEXT
);

INSERT INTO articles (article_id, title, content) VALUES
(1, 'Understanding C++', 'C++ is a powerful object-oriented language.'),
(2, 'JavaScript & Web Development', 'JavaScript is essential for dynamic websites & web apps.'),
(3, 'Introduction to SQL', 'SQL (Structured Query Language) is used for managing databases.');

Purpose: This query tests how the tool handles special characters like &, punctuation, and parentheses in both VARCHAR and TEXT fields. This is important when converting to XML, as special characters need to be properly escaped in XML format.

4. SQL Insert with Date, Time, and Boolean Fields

CREATE TABLE events (
    event_id INT PRIMARY KEY,
    event_name VARCHAR(100),
    event_date DATE,
    start_time TIME,
    end_time TIME,
    is_virtual BOOLEAN
);

INSERT INTO events (event_id, event_name, event_date, start_time, end_time, is_virtual) VALUES
(1, 'Tech Conference', '2024-02-15', '09:00:00', '17:00:00', TRUE),
(2, 'Data Science Workshop', '2024-03-10', '10:00:00', '16:00:00', FALSE),
(3, 'AI & ML Seminar', '2024-04-05', '09:30:00', '17:30:00', TRUE);

Purpose: This query tests fields with DATE, TIME, and BOOLEAN data types. It checks how these data types are represented in XML format, particularly how TRUE and FALSE values are converted and how time fields are handled.

5. SQL Insert with Complex Numeric Data and Multiple Constraints

CREATE TABLE products (
    product_id INT PRIMARY KEY,
    product_name VARCHAR(100),
    price DECIMAL(8, 2) CHECK (price > 0),
    stock INT DEFAULT 0 CHECK (stock >= 0),
    discount_percent DECIMAL(5, 2) CHECK (discount_percent BETWEEN 0 AND 100)
);

INSERT INTO products (product_id, product_name, price, stock, discount_percent) VALUES
(1001, 'Laptop', 1299.99, 50, 10.00),
(1002, 'Smartphone', 899.99, 200, 5.00),
(1003, 'Tablet', 499.99, 120, 0.00),
(1004, 'Headphones', 199.99, 300, 20.00);

Purpose: This query includes complex numeric data such as prices, stock levels, and discount percentages. It also involves CHECK constraints and default values. You can test how the tool handles these numeric fields and constraints when converting the SQL query to XML.

SQL to XML Converter