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update tests
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commit
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@ -79,27 +79,3 @@ iPhone 900 Smartphone 500 500
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Kindle Fire 150 Tablet 150 350
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Samsung Galaxy Tab 200 Tablet 175 350
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iPad 700 Tablet 350 350
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---- Q8 ----
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Lenovo Thinkpad Laptop 700 1 0
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Sony VAIO Laptop 700 1 0
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Dell Vostro Laptop 800 3 0.6666666666666666
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HP Elite Laptop 1200 4 1
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Microsoft Lumia Smartphone 200 1 0
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HTC One Smartphone 400 2 0.3333333333333333
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Nexus Smartphone 500 3 0.6666666666666666
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iPhone Smartphone 900 4 1
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Kindle Fire Tablet 150 1 0
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Samsung Galaxy Tab Tablet 200 2 0.5
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iPad Tablet 700 3 1
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Others Unknow 200 1 0
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---- Q9 ----
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0 1 0
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1 2 1
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2 3 2
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3 4 3
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4 5 4
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5 6 5
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6 7 6
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7 8 7
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8 9 8
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9 10 9
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@ -101,37 +101,7 @@ SELECT
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FROM products INNER JOIN product_groups USING (group_id)) t
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order by group_name, product_name, price;
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select '---- Q8 ----';
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INSERT INTO product_groups VALUES (4, 'Unknow');
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INSERT INTO products (product_id,product_name, group_id,price) VALUES (12, 'Others', 4, 200);
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SELECT *
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FROM
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(
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SELECT
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product_name,
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group_name,
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price,
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rank() OVER (PARTITION BY group_name ORDER BY price ASC) AS rank,
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percent_rank() OVER (PARTITION BY group_name ORDER BY price ASC) AS percent
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FROM products
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INNER JOIN product_groups USING (group_id)
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) AS t
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ORDER BY
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group_name ASC,
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price ASC,
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product_name ASC;
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drop table product_groups;
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drop table products;
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select '---- Q9 ----';
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select number, row_number, cast(percent_rank * 10000 as Int32) as percent_rank
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from (
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select number, row_number() over () as row_number, percent_rank() over (order by number) as percent_rank
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from numbers(10000)
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order by number
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limit 10
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)
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settings max_block_size=100;
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22
tests/queries/0_stateless/03037_precent_rank.reference
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22
tests/queries/0_stateless/03037_precent_rank.reference
Normal file
@ -0,0 +1,22 @@
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Lenovo Thinkpad Laptop 700 1 0
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Sony VAIO Laptop 700 1 0
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Dell Vostro Laptop 800 3 0.6666666666666666
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HP Elite Laptop 1200 4 1
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Microsoft Lumia Smartphone 200 1 0
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HTC One Smartphone 400 2 0.3333333333333333
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Nexus Smartphone 500 3 0.6666666666666666
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iPhone Smartphone 900 4 1
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Kindle Fire Tablet 150 1 0
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Samsung Galaxy Tab Tablet 200 2 0.5
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iPad Tablet 700 3 1
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Others Unknow 200 1 0
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0 1 0
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1 2 1
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2 3 2
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3 4 3
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4 5 4
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5 6 5
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6 7 6
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7 8 7
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8 9 8
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9 10 9
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53
tests/queries/0_stateless/03037_precent_rank.sql
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53
tests/queries/0_stateless/03037_precent_rank.sql
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@ -0,0 +1,53 @@
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set allow_experimental_analyzer=1;
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drop table if exists product_groups;
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drop table if exists products;
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CREATE TABLE product_groups (
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group_id Int64,
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group_name String
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) Engine = Memory;
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CREATE TABLE products (
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product_id Int64,
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product_name String,
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price DECIMAL(11, 2),
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group_id Int64
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) Engine = Memory;
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INSERT INTO product_groups VALUES (1, 'Smartphone'),(2, 'Laptop'),(3, 'Tablet');
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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);
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INSERT INTO product_groups VALUES (4, 'Unknow');
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INSERT INTO products (product_id,product_name, group_id,price) VALUES (12, 'Others', 4, 200);
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SELECT *
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FROM
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(
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SELECT
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product_name,
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group_name,
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price,
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rank() OVER (PARTITION BY group_name ORDER BY price ASC) AS rank,
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percent_rank() OVER (PARTITION BY group_name ORDER BY price ASC) AS percent
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FROM products
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INNER JOIN product_groups USING (group_id)
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) AS t
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ORDER BY
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group_name ASC,
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price ASC,
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product_name ASC;
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drop table product_groups;
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drop table products;
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select number, row_number, cast(percent_rank * 10000 as Int32) as percent_rank
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from (
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select number, row_number() over () as row_number, percent_rank() over (order by number) as percent_rank
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from numbers(10000)
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order by number
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limit 10
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)
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settings max_block_size=100;
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