SQL Table Name Extractor

How to use this developer tool

1. Paste the sql statement or script or load a local text file.
2. Adjust the available checks or parsing options.
3. Select Extract Tables or press Ctrl/Cmd + Enter.
4. Review the summary, detailed output, and structured export before using the result.

What this developer tool does

List table references found in common SQL statements and label the clause that introduced each one. The extractor handles schema-qualified and quoted identifiers, skips names declared as common table expressions, and keeps first-seen order for a cleaner dependency inventory.

Dynamic SQL, vendor-specific table functions, and deeply nested dialect extensions may require a full database parser.

Example

The bundled sample demonstrates the expected input. Select Sample, run the analyzer, and compare the detailed output with the summary metrics.

SELECT o.id, c.name
FROM sales.orders AS o
JOIN crm.customers c ON c.id = o.customer_id;

Use cases

• Pre-commit and code-review checks
• Query or repository troubleshooting
• Generating copy-ready diagnostics for an issue

Tips for reliable output

• Use the exact text that the target system will receive.
• Keep dialect- or policy-specific options aligned with your project.
• Review warnings even when the main result is valid.
• Save structured JSON when another script needs the findings.
• Confirm destructive operations in the real environment separately.

Processing details

Tokenizes SQL outside comments and strings, records CTE names, then reads identifiers after FROM, JOIN, UPDATE, INSERT INTO, DELETE FROM, MERGE INTO, and table DDL keywords.

Dynamic SQL, vendor-specific table functions, and deeply nested dialect extensions may require a full database parser.