Tool Introduction
DDL/JSON Conversion is a free online tool designed to help developers and database administrators quickly and accurately convert SQL Data Definition Language (DDL) statements into a structured JSON format. Whether for database table structure design, API documentation generation, or data migration preparation, this tool efficiently parses SQL DDL code and presents key information such as table names, field names, data types, and constraints in a clear JSON format, greatly simplifying the understanding and application of data structures.
How to Use
- Input DDL Code: Paste or manually enter your SQL DDL statement into the "DDL Code" input box on the left. This tool supports standard SQL DDL syntax, such as
CREATE TABLE statements, used to define database tables, fields, and constraints. You can also use the default example DDL provided by the tool for testing.
- Trigger Conversion: Typically, you just need to paste or enter the DDL code, and the tool will automatically perform the conversion, or after you click a convert button (if available).
- View JSON Result: After conversion, the "JSON Code" output box on the right will display the corresponding JSON-formatted data structure definition. This JSON strictly adheres to standard format, making it easy to read and machine-parse.
Input Parameter Format: Must be a valid SQL DDL (Data Definition Language) statement, primarily used to define the structure of database objects, such as CREATE TABLE, ALTER TABLE, etc. The tool parses these statements to extract information like table names, column names, data types, primary keys, unique constraints, non-null constraints, default values, and more.
Output Result Format: The conversion result is in standard JSON (JavaScript Object Notation) format. The JSON structure will clearly display detailed information for each table defined in the DDL, including its field list and each field's attributes (such as name, type, nullability, default value, whether it's a primary/unique key, etc.).
Frequently Asked Questions
- Q: What DDL input formats does this tool support?
- A: This tool primarily supports standard SQL DDL (Data Definition Language) statements, especially
CREATE TABLE, ALTER TABLE, and other statements used to define database table structures. It can parse common field types, primary keys, unique constraints, non-null constraints, default values, and auto-increment properties.
- Q: What is the format of the converted JSON result?
- A: The output result is in standard JSON (JavaScript Object Notation) format. It organizes the table structure information from the DDL (such as table name, field list, field name, data type, nullability, default value, primary/unique key constraints, etc.) in a clearly hierarchical way, facilitating programmatic reading and further processing.
- Q: Does it support DDL dialects for all databases?
- A: This tool aims to support common SQL DDL syntax. For common DDL statements of mainstream relational databases like MySQL, PostgreSQL, and SQL Server, this tool generally offers good compatibility. However, for unique complex dialects or advanced features of certain specific databases, there might be some parsing differences.
- Q: Besides table structures, can it convert other DDL objects (e.g., views, stored procedures)?
- A: Currently, the core function of this tool is to parse the structure definition of database tables (
TABLE). For DDL of other database objects such as views (VIEW), stored procedures (PROCEDURE), functions (FUNCTION), triggers (TRIGGER), etc., the tool may not be able to provide a complete or accurate JSON conversion.
Notes
- Accuracy of Input DDL: Please ensure that the DDL code you enter is a syntactically correct SQL statement. Syntax errors may lead to parsing failure or inaccurate JSON results.
- Complex DDL Compatibility: Although the tool strives for generality, for extremely complex DDLs containing advanced features specific to certain databases or non-standard syntax, the conversion results may not be perfect. It is recommended to carefully verify the output JSON in critical scenarios.
- Data Security and Privacy: This is an online tool, and conversions are typically completed in the client browser; your DDL code will not be uploaded to the server. However, it is still not recommended to process DDL statements containing extremely sensitive business data or personal privacy information. All input data is used only for real-time conversion and will not be stored or recorded on the server.
- Handling Multi-Table DDL: If you input DDL containing multiple
CREATE TABLE statements, the tool will usually attempt to parse all tables and may output them as an array or a JSON structure containing multiple objects. Please pay attention to the overall structure of the output.
