45 lines
1.3 KiB
SQL
45 lines
1.3 KiB
SQL
DROP TABLE IF EXISTS benchmark_table;
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CREATE TABLE benchmark_table (
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id BIGINT,
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uuid TEXT,
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username TEXT,
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score REAL,
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is_active BOOLEAN,
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last_login TIMESTAMP,
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notes TEXT,
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course_id INT,
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start_date DATE,
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rating FLOAT8
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);
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INSERT INTO benchmark_table (
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id,
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uuid,
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username,
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score,
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is_active,
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last_login,
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notes,
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course_id,
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start_date,
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rating
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)
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SELECT
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i AS id,
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md5(i::TEXT) AS uuid, -- Use md5 to generate a text uuid
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'user_' || i AS username,
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(random() * 100)::REAL AS score,
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(i % 2 = 0) AS is_active,
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NOW() - (random() * '365 days'::INTERVAL) AS last_login,
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CASE WHEN i % 10 = 0 THEN NULL ELSE 'Sample notes' END AS notes,
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(random() * 10 + 100)::INT AS course_id,
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(NOW() - (random() * '1000 days'::INTERVAL))::DATE AS start_date,
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(random() * 5)::FLOAT8 AS rating
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FROM generate_series(1, 20000000) s(i);
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-- 4. Analyze the table for better query planning (good practice)
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CREATE INDEX idx_benchmark_id ON benchmark_table(id);
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ANALYZE benchmark_table;
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