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* test: migrate join tests Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * chore: update test results after rebasing main branch Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix: unstable query sort results and natural_join test Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix: count(*) with joining Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix: unstable query sort results and style Signed-off-by: Dennis Zhuang <killme2008@gmail.com> --------- Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
82 lines
2.1 KiB
SQL
82 lines
2.1 KiB
SQL
-- Migrated from DuckDB test: test/sql/join/cross_product/ advanced tests
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-- Tests advanced cross join scenarios
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CREATE TABLE products(prod_id INTEGER, prod_name VARCHAR, price DOUBLE, ts TIMESTAMP TIME INDEX);
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CREATE TABLE stores(store_id INTEGER, store_name VARCHAR, city VARCHAR, ts TIMESTAMP TIME INDEX);
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CREATE TABLE categories(cat_id INTEGER, cat_name VARCHAR, ts TIMESTAMP TIME INDEX);
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INSERT INTO products VALUES
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(1, 'Laptop', 999.99, 1000), (2, 'Mouse', 29.99, 2000), (3, 'Monitor', 299.99, 3000);
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INSERT INTO stores VALUES
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(1, 'TechStore', 'NYC', 1000), (2, 'GadgetShop', 'LA', 2000);
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INSERT INTO categories VALUES
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(1, 'Electronics', 1000), (2, 'Accessories', 2000);
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-- Basic cross join
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SELECT
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p.prod_name, s.store_name, s.city
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FROM products p
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CROSS JOIN stores s
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ORDER BY p.prod_id, s.store_id;
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-- Cross join with filtering
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SELECT
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p.prod_name, s.store_name, p.price
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FROM products p
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CROSS JOIN stores s
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WHERE p.price > 100.00
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ORDER BY p.price DESC, s.store_name;
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-- Triple cross join
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SELECT
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p.prod_name, s.store_name, c.cat_name,
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CASE WHEN p.price > 500 THEN 'Premium' ELSE 'Standard' END as tier
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FROM products p
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CROSS JOIN stores s
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CROSS JOIN categories c
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ORDER BY p.prod_id, s.store_id, c.cat_id;
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-- Cross join with aggregation
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SELECT
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s.city,
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COUNT(*) as product_store_combinations,
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AVG(p.price) as avg_price,
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SUM(p.price) as total_inventory_value
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FROM products p
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CROSS JOIN stores s
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GROUP BY s.city
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ORDER BY s.city;
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-- Cross join for inventory matrix
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SELECT
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p.prod_name,
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SUM(CASE WHEN s.city = 'NYC' THEN 1 ELSE 0 END) as nyc_availability,
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SUM(CASE WHEN s.city = 'LA' THEN 1 ELSE 0 END) as la_availability,
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COUNT(s.store_id) as total_store_availability
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FROM products p
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CROSS JOIN stores s
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GROUP BY p.prod_name, p.prod_id
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ORDER BY p.prod_id;
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-- Cross join with conditions and calculations
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SELECT
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p.prod_name,
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s.store_name,
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p.price,
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p.price * 0.1 as store_commission,
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p.price * 1.08 as price_with_tax
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FROM products p
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CROSS JOIN stores s
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WHERE p.price BETWEEN 25.00 AND 1000.00
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ORDER BY p.price DESC, s.store_name;
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DROP TABLE products;
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DROP TABLE stores;
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DROP TABLE categories;
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