ClickHouse/tests/queries/0_stateless/03037_precent_rank.sql
2024-08-07 08:57:56 +08:00

53 lines
1.5 KiB
SQL

drop table if exists product_groups;
drop table if exists products;
CREATE TABLE product_groups (
group_id Int64,
group_name String
) Engine = Memory;
CREATE TABLE products (
product_id Int64,
product_name String,
price DECIMAL(11, 2),
group_id Int64
) Engine = Memory;
INSERT INTO product_groups VALUES (1, 'Smartphone'),(2, 'Laptop'),(3, 'Tablet');
INSERT INTO products (product_id,product_name, group_id,price) VALUES (1, 'Microsoft Lumia', 1, 200), (2, 'HTC One', 1, 400), (3, 'Nexus', 1, 500), (4, 'iPhone', 1, 900),(5, 'HP Elite', 2, 1200),(6, 'Lenovo Thinkpad', 2, 700),(7, 'Sony VAIO', 2, 700),(8, 'Dell Vostro', 2, 800),(9, 'iPad', 3, 700),(10, 'Kindle Fire', 3, 150),(11, 'Samsung Galaxy Tab', 3, 200);
INSERT INTO product_groups VALUES (4, 'Unknow');
INSERT INTO products (product_id,product_name, group_id,price) VALUES (12, 'Others', 4, 200);
SELECT *
FROM
(
SELECT
product_name,
group_name,
price,
rank() OVER (PARTITION BY group_name ORDER BY price ASC) AS rank,
percent_rank() OVER (PARTITION BY group_name ORDER BY price ASC) AS percent
FROM products
INNER JOIN product_groups USING (group_id)
) AS t
ORDER BY
group_name ASC,
price ASC,
product_name ASC;
drop table product_groups;
drop table products;
select number, row_number, cast(percent_rank * 10000 as Int32) as percent_rank
from (
select number, row_number() over () as row_number, percent_rank() over (order by number) as percent_rank
from numbers(10000)
order by number
limit 10
)
settings max_block_size=100;