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Add more test cases.

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drh
2024-08-31 17:27:55 +00:00
parent ad8ec9db63
commit f138110dfd
3 changed files with 54 additions and 7 deletions
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test/percentile.test
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@ -287,4 +287,51 @@ SELECT a, b, c, d,
2 B two 7.1 F.B.E 7.1
5 E two 12.5 B.E 9.8
}
# Test case adapted from examples shown at
# https://database.guide/3-functions-to-calculate-the-median-in-sql/
#
do_execsql_test percential-4.0 {
CREATE TABLE products(
vendorId INT,
productId INTEGER PRIMARY KEY,
productName REAL,
price REAL
);
INSERT INTO products VALUES
(1001, 17, 'Left-handed screwdriver', 25.99),
(1001, 49, 'Right-handed screwdriver', 25.99),
(1001, 216, 'Long weight (blue)', 14.75),
(1001, 31, 'Long weight (green)', 11.99),
(1002, 37, 'Sledge hammer', 33.49),
(1003, 7, 'Chainsaw', 245.00),
(1003, 8, 'Straw dog box', 55.99),
(1003, 12, 'Hammock', 11.01),
(1004, 113, 'Teapot', 12.45),
(1004, 117, 'Bottomless coffee mug', 9.99);
}
do_execsql_test percentile-4.1 {
SELECT VendorId, ProductId, /* ProductName,*/ Price,
avg(price) OVER (PARTITION BY vendorId) AS "Average",
median(price) OVER (PARTITION BY vendorId) AS "Median"
FROM products
ORDER BY vendorId, productId;
} {
1001 17 25.99 19.68 20.37
1001 31 11.99 19.68 20.37
1001 49 25.99 19.68 20.37
1001 216 14.75 19.68 20.37
1002 37 33.49 33.49 33.49
1003 7 245.0 104.0 55.99
1003 8 55.99 104.0 55.99
1003 12 11.01 104.0 55.99
1004 113 12.45 11.22 11.22
1004 117 9.99 11.22 11.22
}
do_execsql_test percentile-4.2 {
SELECT vendorId, median(price) FROM products
GROUP BY 1 ORDER BY 1;
} {1001 20.37 1002 33.49 1003 55.99 1004 11.22}
finish_test