For retailing data, it is often user-based and users buy multiple occasions. We need to randomly sample users (not by each purchase record/row) and hope to reproduce the results later on or join the same user samples for other tables.
For example, we wish to draw some users from a promotion period but even if I set the seed in rand(), I keep getting different samples each time I run.
SELECT user_id FROM
(SELECT DISTINCT user_id
FROM table1
WHERE day_id >= "2009-01-09" AND day_id < "2011-02-16"
) u
ORDER BY RAND(200) LIMIT 100
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