Bulk Insert 1,000 Rows of Test Data

Generating Large Seed Datasets

Small datasets of 5–10 rows are fine for basic development, but you need hundreds or thousands of rows to test performance, pagination, search, and data visualization features.

Setting the Row Count

Use the row count slider or click the 1000 preset button to generate 1,000 rows per table. The tool processes this entirely in the browser, typically completing in under a second.

Why 1,000 Rows?

Test Scenario	Recommended Rows
Basic UI rendering	10–50
Pagination (25/page)	100–500
Search and filtering	200–1,000
Performance / load testing	500–1,000
Data visualization / charts	100–1,000

Performance Considerations

Generating 1,000 rows for a table with 10 columns produces roughly 1,000 INSERT statements. Each statement is typically 200–500 characters. The total output for a moderately complex table is around 200–500 KB of text. The browser handles this efficiently.

Downloading Large Output

For 1,000-row datasets, the output may be too large to comfortably copy from the text area. Use the Download button to save the output as a .sql, .json, or .csv file. This is more reliable than clipboard operations for large text.

Batch Execution

Some database clients have limits on how many statements they can execute at once. If you encounter issues running 1,000 INSERT statements, consider:

• Splitting the file into batches of 100–200 statements
• Using your database’s bulk import feature (COPY for PostgreSQL, LOAD DATA for MySQL)
• Switching to CSV format and using bulk load utilities

Deterministic Seeds

The same schema with the same seed always produces identical data. This means you can regenerate the same 1,000-row dataset on any machine without storing the file. Just save the schema and the seed number.