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greptimedb/tests/cases/standalone/common/join/right_join_patterns.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

114 lines
4.6 KiB
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-- Migrated from DuckDB test: test/sql/join/right_outer/ pattern tests
-- Tests right join patterns
CREATE TABLE inventory(item_id INTEGER, item_name VARCHAR, stock_quantity INTEGER, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
CREATE TABLE purchase_orders(po_id INTEGER, item_id INTEGER, ordered_qty INTEGER, order_date DATE, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
INSERT INTO inventory VALUES
(1, 'Widget A', 100, 1000), (2, 'Widget B', 50, 2000), (3, 'Widget C', 0, 3000);
Affected Rows: 3
INSERT INTO purchase_orders VALUES
(1, 1, 25, '2023-01-01', 1000), (2, 2, 30, '2023-01-02', 2000),
(3, 4, 15, '2023-01-03', 3000), (4, 5, 40, '2023-01-04', 4000),
(5, 1, 10, '2023-01-05', 5000);
Affected Rows: 5
-- Right join to show all orders (including for non-inventory items)
SELECT
po.po_id, po.ordered_qty, po.order_date,
COALESCE(i.item_name, 'Unknown Item') as item_name,
COALESCE(i.stock_quantity, 0) as current_stock
FROM inventory i
RIGHT JOIN purchase_orders po ON i.item_id = po.item_id
ORDER BY po.order_date, po.po_id;
+-------+-------------+------------+--------------+---------------+
| po_id | ordered_qty | order_date | item_name | current_stock |
+-------+-------------+------------+--------------+---------------+
| 1 | 25 | 2023-01-01 | Widget A | 100 |
| 2 | 30 | 2023-01-02 | Widget B | 50 |
| 3 | 15 | 2023-01-03 | Unknown Item | 0 |
| 4 | 40 | 2023-01-04 | Unknown Item | 0 |
| 5 | 10 | 2023-01-05 | Widget A | 100 |
+-------+-------------+------------+--------------+---------------+
-- Right join with aggregation
SELECT
po.item_id,
COUNT(po.po_id) as order_count,
SUM(po.ordered_qty) as total_ordered,
COALESCE(MAX(i.stock_quantity), 0) as stock_level,
CASE WHEN i.item_id IS NULL THEN 'Not In Inventory' ELSE 'In Stock' END as inventory_status
FROM inventory i
RIGHT JOIN purchase_orders po ON i.item_id = po.item_id
GROUP BY po.item_id, i.item_id
ORDER BY order_count DESC, po.item_id ASC;
+---------+-------------+---------------+-------------+------------------+
| item_id | order_count | total_ordered | stock_level | inventory_status |
+---------+-------------+---------------+-------------+------------------+
| 1 | 2 | 35 | 100 | In Stock |
| 2 | 1 | 30 | 50 | In Stock |
| 4 | 1 | 15 | 0 | Not In Inventory |
| 5 | 1 | 40 | 0 | Not In Inventory |
+---------+-------------+---------------+-------------+------------------+
-- Right join to identify missing inventory records
SELECT
po.item_id as missing_item_id,
COUNT(*) as orders_for_missing_item,
SUM(po.ordered_qty) as total_qty_ordered
FROM inventory i
RIGHT JOIN purchase_orders po ON i.item_id = po.item_id
WHERE i.item_id IS NULL
GROUP BY po.item_id
ORDER BY total_qty_ordered DESC, po.item_id ASC;
+-----------------+-------------------------+-------------------+
| missing_item_id | orders_for_missing_item | total_qty_ordered |
+-----------------+-------------------------+-------------------+
| 5 | 1 | 40 |
| 4 | 1 | 15 |
+-----------------+-------------------------+-------------------+
-- Right join with filtering and conditions
SELECT
po.po_id,
po.item_id,
po.ordered_qty,
COALESCE(i.item_name, 'Missing from inventory') as item_description,
CASE
WHEN i.item_id IS NULL THEN 'Order for unknown item'
WHEN i.stock_quantity < po.ordered_qty THEN 'Insufficient stock'
ELSE 'Can fulfill'
END as fulfillment_status
FROM inventory i
RIGHT JOIN purchase_orders po ON i.item_id = po.item_id
ORDER BY po.order_date;
+-------+---------+-------------+------------------------+------------------------+
| po_id | item_id | ordered_qty | item_description | fulfillment_status |
+-------+---------+-------------+------------------------+------------------------+
| 1 | 1 | 25 | Widget A | Can fulfill |
| 2 | 2 | 30 | Widget B | Can fulfill |
| 3 | 4 | 15 | Missing from inventory | Order for unknown item |
| 4 | 5 | 40 | Missing from inventory | Order for unknown item |
| 5 | 1 | 10 | Widget A | Can fulfill |
+-------+---------+-------------+------------------------+------------------------+
DROP TABLE inventory;
Affected Rows: 0
DROP TABLE purchase_orders;
Affected Rows: 0