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SQL DELETE Query Generator

Generate DELETE or TRUNCATE statements. Choose between single row (by PK), custom WHERE condition, or full table truncation. Free, and it runs entirely in your browser — nothing you enter is uploaded.

How to use the SQL DELETE Query Generator

1. Enter the table name.

2. Choose the delete mode: by primary key, by custom condition, or TRUNCATE.

3. Fill in the relevant fields. The query is generated live — copy and run it.

What is it?

SQL DELETE removes rows from a table that match a WHERE condition. TRUNCATE is a faster alternative that removes all rows and resets auto-increment counters, but cannot be rolled back in most databases.

Always test your WHERE condition with a SELECT first to verify which rows will be deleted.

Benefits

Generate INSERT and CREATE TABLE statements instantly

Convert JSON, CSV, or a field list into ready-to-run SQL in seconds — no manual quoting, no counting columns, no copy-paste errors from spreadsheet data.

Build SELECT queries without memorising syntax

The visual query builder constructs WHERE conditions, ORDER BY, LIMIT, and DISTINCT clauses interactively — useful for anyone who writes SQL occasionally rather than daily.

Migrate between MongoDB and relational databases

Convert MongoDB find, insert, update, and delete operations directly to SQL equivalents — speed up data migration planning or schema exploration.

All your data stays in the browser

No SQL query, schema definition, or database content is ever uploaded to a server. Everything runs entirely client-side, making these tools safe to use with sensitive data.

Frequently asked questions

What's the difference between DELETE and TRUNCATE?

DELETE is transactional and can target specific rows. TRUNCATE deletes all rows instantly, resets sequences, and in many databases cannot be rolled back. Use DELETE for selective removal, TRUNCATE to reset a table entirely.

How do I delete all rows?

Use TRUNCATE mode, or write DELETE FROM table_name; (no WHERE). Be extremely careful — this removes all data.