5 million + random rows in less than 100 seconds using SQL

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In the video, I demonstrated how to efficiently generate 5 million rows of random data for a taxonomy structure in SQL. We focused on creating categories, subcategories, and topics using just SQL commands and leveraging joins for data amplification. By utilizing a helper table named counters and strategically using insert statements with select queries, we efficiently populated the database with the required data. The process involved careful structuring and utilization of joins for data multiplication, resulting in the successful generation of 5 million rows in under 100 seconds.

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