SQL Field Structure Viewer
JSON & Data
Inspect SQL columns, types, keys, defaults and nullability without executing SQL.
SQL field structure viewer
Parse DDL columns, types, nullability, keys, defaults and comments without executing SQL.
0 columns
| Field | Type | Null | Key | Default | Comment |
|---|
Paste a CREATE TABLE statement to inspect its columns.
Use cases
When to use SQL Field Structure Viewer
Inspect SQL columns, types, keys, defaults and nullability without executing SQL.
1Prepare sql field structure viewer output for an API or documentation workflow
2Check a sample before applying it to production
3Use a reproducible result while debugging with a teammate
4Compare JSON structures across development, staging, and production APIs
5Prepare reproducible JSON payloads for API documentation, bug reports, or test cases
6Generate language models, Excel workbooks, Postman requests, or SQL data from JSON samples
7Move payloads and configuration between YAML, XML, TOML, INI, and JSON
8Review duplicate keys, nulls, field types, numeric precision, and contract changes before release
9Generate repeatable mock records with complete field coverage for test environments
Guidance
Get reliable results
- 1Use representative but non-sensitive test data
- 2Review the generated result against the target platform
- 3Keep a copy of the source before replacing production data
Platform-specific rules and production policies still require review.