sjdonado
82 lines
2.1 KiB
SQL
82 lines
2.1 KiB
SQL
INSERT INTO users (name, api_key)
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VALUES
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('User 1', 'secure_api_key_1'),
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('User 2', 'secure_api_key_2');
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-- Create 20,000 links (10,000 per user)
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WITH RECURSIVE link_numbers(n) AS (
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SELECT 1
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UNION ALL
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SELECT n+1 FROM link_numbers
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LIMIT 20000
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)
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INSERT INTO links (user_id, slug, url)
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SELECT
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((n-1) % 2) + 1, -- User ID (1-2)
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'slug' || n, -- Unique slug
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'https://sjdonado.com/page/' || n
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FROM link_numbers;
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-- Create 1,000 clicks per link (20,000,000 total)
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-- Using batched approach for better performance
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CREATE TEMP TABLE link_ids AS SELECT id FROM links;
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CREATE TEMP TABLE click_counts(link_id, count) AS
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WITH RECURSIVE counts(n) AS (
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SELECT 1
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UNION ALL
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SELECT n+1 FROM counts
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LIMIT 1000
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)
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SELECT l.id, c.n
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FROM link_ids l
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CROSS JOIN counts c;
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-- Insert clicks from the count table
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INSERT INTO clicks (link_id, user_agent, browser, os, referer, country)
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SELECT
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link_id,
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CASE (count % 5)
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WHEN 0 THEN 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'
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WHEN 1 THEN 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15)'
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WHEN 2 THEN 'Mozilla/5.0 (iPhone; CPU iPhone OS 14_0)'
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WHEN 3 THEN 'Mozilla/5.0 (X11; Linux x86_64)'
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ELSE 'Mozilla/5.0 (Android 11; Mobile)'
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END,
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CASE (count % 3)
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WHEN 0 THEN 'Chrome'
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WHEN 1 THEN 'Firefox'
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ELSE 'Safari'
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END,
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CASE (count % 4)
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WHEN 0 THEN 'Windows'
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WHEN 1 THEN 'macOS'
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WHEN 2 THEN 'iOS'
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ELSE 'Android'
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END,
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CASE (count % 6)
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WHEN 0 THEN 'https://sjdonado.com'
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WHEN 1 THEN 'https://donado.co'
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WHEN 2 THEN 'https://idonthavespotify.donado.co'
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WHEN 3 THEN 'https://spookyplanning.com'
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WHEN 4 THEN 'https://github.com/sjdonado'
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ELSE NULL
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END,
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CASE (count % 10)
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WHEN 0 THEN 'US'
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WHEN 1 THEN 'UK'
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WHEN 2 THEN 'Canada'
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WHEN 3 THEN 'Germany'
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WHEN 4 THEN 'France'
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WHEN 5 THEN 'Japan'
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WHEN 6 THEN 'Australia'
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WHEN 7 THEN 'Brazil'
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WHEN 8 THEN 'India'
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ELSE 'China'
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END
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FROM click_counts;
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-- Clean up
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DROP TABLE link_ids;
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DROP TABLE click_counts;
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