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greptimedb/tests/cases/standalone/common/join/cross_join_advanced.result
dennis zhuang 6c066c1a4a test: migrate join tests from duckdb, part3 (#6881)
* 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>
2025-09-12 04:20:00 +00:00

163 lines
5.5 KiB
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-- Migrated from DuckDB test: test/sql/join/cross_product/ advanced tests
-- Tests advanced cross join scenarios
CREATE TABLE products(prod_id INTEGER, prod_name VARCHAR, price DOUBLE, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
CREATE TABLE stores(store_id INTEGER, store_name VARCHAR, city VARCHAR, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
CREATE TABLE categories(cat_id INTEGER, cat_name VARCHAR, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
INSERT INTO products VALUES
(1, 'Laptop', 999.99, 1000), (2, 'Mouse', 29.99, 2000), (3, 'Monitor', 299.99, 3000);
Affected Rows: 3
INSERT INTO stores VALUES
(1, 'TechStore', 'NYC', 1000), (2, 'GadgetShop', 'LA', 2000);
Affected Rows: 2
INSERT INTO categories VALUES
(1, 'Electronics', 1000), (2, 'Accessories', 2000);
Affected Rows: 2
-- Basic cross join
SELECT
p.prod_name, s.store_name, s.city
FROM products p
CROSS JOIN stores s
ORDER BY p.prod_id, s.store_id;
+-----------+------------+------+
| prod_name | store_name | city |
+-----------+------------+------+
| Laptop | TechStore | NYC |
| Laptop | GadgetShop | LA |
| Mouse | TechStore | NYC |
| Mouse | GadgetShop | LA |
| Monitor | TechStore | NYC |
| Monitor | GadgetShop | LA |
+-----------+------------+------+
-- Cross join with filtering
SELECT
p.prod_name, s.store_name, p.price
FROM products p
CROSS JOIN stores s
WHERE p.price > 100.00
ORDER BY p.price DESC, s.store_name;
+-----------+------------+--------+
| prod_name | store_name | price |
+-----------+------------+--------+
| Laptop | GadgetShop | 999.99 |
| Laptop | TechStore | 999.99 |
| Monitor | GadgetShop | 299.99 |
| Monitor | TechStore | 299.99 |
+-----------+------------+--------+
-- Triple cross join
SELECT
p.prod_name, s.store_name, c.cat_name,
CASE WHEN p.price > 500 THEN 'Premium' ELSE 'Standard' END as tier
FROM products p
CROSS JOIN stores s
CROSS JOIN categories c
ORDER BY p.prod_id, s.store_id, c.cat_id;
+-----------+------------+-------------+----------+
| prod_name | store_name | cat_name | tier |
+-----------+------------+-------------+----------+
| Laptop | TechStore | Electronics | Premium |
| Laptop | TechStore | Accessories | Premium |
| Laptop | GadgetShop | Electronics | Premium |
| Laptop | GadgetShop | Accessories | Premium |
| Mouse | TechStore | Electronics | Standard |
| Mouse | TechStore | Accessories | Standard |
| Mouse | GadgetShop | Electronics | Standard |
| Mouse | GadgetShop | Accessories | Standard |
| Monitor | TechStore | Electronics | Standard |
| Monitor | TechStore | Accessories | Standard |
| Monitor | GadgetShop | Electronics | Standard |
| Monitor | GadgetShop | Accessories | Standard |
+-----------+------------+-------------+----------+
-- Cross join with aggregation
SELECT
s.city,
COUNT(*) as product_store_combinations,
AVG(p.price) as avg_price,
SUM(p.price) as total_inventory_value
FROM products p
CROSS JOIN stores s
GROUP BY s.city
ORDER BY s.city;
+------+----------------------------+-------------------+-----------------------+
| city | product_store_combinations | avg_price | total_inventory_value |
+------+----------------------------+-------------------+-----------------------+
| LA | 3 | 443.3233333333333 | 1329.97 |
| NYC | 3 | 443.3233333333333 | 1329.97 |
+------+----------------------------+-------------------+-----------------------+
-- Cross join for inventory matrix
SELECT
p.prod_name,
SUM(CASE WHEN s.city = 'NYC' THEN 1 ELSE 0 END) as nyc_availability,
SUM(CASE WHEN s.city = 'LA' THEN 1 ELSE 0 END) as la_availability,
COUNT(s.store_id) as total_store_availability
FROM products p
CROSS JOIN stores s
GROUP BY p.prod_name, p.prod_id
ORDER BY p.prod_id;
+-----------+------------------+-----------------+--------------------------+
| prod_name | nyc_availability | la_availability | total_store_availability |
+-----------+------------------+-----------------+--------------------------+
| Laptop | 1 | 1 | 2 |
| Mouse | 1 | 1 | 2 |
| Monitor | 1 | 1 | 2 |
+-----------+------------------+-----------------+--------------------------+
-- Cross join with conditions and calculations
SELECT
p.prod_name,
s.store_name,
p.price,
p.price * 0.1 as store_commission,
p.price * 1.08 as price_with_tax
FROM products p
CROSS JOIN stores s
WHERE p.price BETWEEN 25.00 AND 1000.00
ORDER BY p.price DESC, s.store_name;
+-----------+------------+--------+--------------------+--------------------+
| prod_name | store_name | price | store_commission | price_with_tax |
+-----------+------------+--------+--------------------+--------------------+
| Laptop | GadgetShop | 999.99 | 99.99900000000001 | 1079.9892 |
| Laptop | TechStore | 999.99 | 99.99900000000001 | 1079.9892 |
| Monitor | GadgetShop | 299.99 | 29.999000000000002 | 323.98920000000004 |
| Monitor | TechStore | 299.99 | 29.999000000000002 | 323.98920000000004 |
| Mouse | GadgetShop | 29.99 | 2.999 | 32.3892 |
| Mouse | TechStore | 29.99 | 2.999 | 32.3892 |
+-----------+------------+--------+--------------------+--------------------+
DROP TABLE products;
Affected Rows: 0
DROP TABLE stores;
Affected Rows: 0
DROP TABLE categories;
Affected Rows: 0