leetcode-problemset/leetcode/originData/sales-person.json

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            "questionId": "607",
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            "title": "Sales Person",
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            "content": "<p>Table: <code>SalesPerson</code></p>\n\n<pre>\n+-----------------+---------+\n| Column Name     | Type    |\n+-----------------+---------+\n| sales_id        | int     |\n| name            | varchar |\n| salary          | int     |\n| commission_rate | int     |\n| hire_date       | date    |\n+-----------------+---------+\nsales_id is the primary key (column with unique values) for this table.\nEach row of this table indicates the name and the ID of a salesperson alongside their salary, commission rate, and hire date.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>Company</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| com_id      | int     |\n| name        | varchar |\n| city        | varchar |\n+-------------+---------+\ncom_id is the primary key (column with unique values) for this table.\nEach row of this table indicates the name and the ID of a company and the city in which the company is located.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>Orders</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| order_id    | int  |\n| order_date  | date |\n| com_id      | int  |\n| sales_id    | int  |\n| amount      | int  |\n+-------------+------+\norder_id is the primary key (column with unique values) for this table.\ncom_id is a foreign key (reference column) to com_id from the Company table.\nsales_id is a foreign key (reference column) to sales_id from the SalesPerson table.\nEach row of this table contains information about one order. This includes the ID of the company, the ID of the salesperson, the date of the order, and the amount paid.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the names of all the salespersons who did not have any orders related to the company with the name <strong>&quot;RED&quot;</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nSalesPerson table:\n+----------+------+--------+-----------------+------------+\n| sales_id | name | salary | commission_rate | hire_date  |\n+----------+------+--------+-----------------+------------+\n| 1        | John | 100000 | 6               | 4/1/2006   |\n| 2        | Amy  | 12000  | 5               | 5/1/2010   |\n| 3        | Mark | 65000  | 12              | 12/25/2008 |\n| 4        | Pam  | 25000  | 25              | 1/1/2005   |\n| 5        | Alex | 5000   | 10              | 2/3/2007   |\n+----------+------+--------+-----------------+------------+\nCompany table:\n+--------+--------+----------+\n| com_id | name   | city     |\n+--------+--------+----------+\n| 1      | RED    | Boston   |\n| 2      | ORANGE | New York |\n| 3      | YELLOW | Boston   |\n| 4      | GREEN  | Austin   |\n+--------+--------+----------+\nOrders table:\n+----------+------------+--------+----------+--------+\n| order_id | order_date | com_id | sales_id | amount |\n+----------+------------+--------+----------+--------+\n| 1        | 1/1/2014   | 3      | 4        | 10000  |\n| 2        | 2/1/2014   | 4      | 5        | 5000   |\n| 3        | 3/1/2014   | 1      | 1        | 50000  |\n| 4        | 4/1/2014   | 1      | 4        | 25000  |\n+----------+------------+--------+----------+--------+\n<strong>Output:</strong> \n+------+\n| name |\n+------+\n| Amy  |\n| Mark |\n| Alex |\n+------+\n<strong>Explanation:</strong> \nAccording to orders 3 and 4 in the Orders table, it is easy to tell that only salesperson John and Pam have sales to company RED, so we report all the other names in the table salesperson.\n</pre>\n",
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            "exampleTestcases": "{\"headers\": {\"SalesPerson\": [\"sales_id\", \"name\", \"salary\", \"commission_rate\",\"hire_date\"], \"Company\": [\"com_id\", \"name\",\"city\"],\"Orders\":[\"order_id\",\"order_date\",\"com_id\",\"sales_id\",\"amount\"]}, \"rows\": {\"SalesPerson\": [[1, \"John\", 100000, 6, \"4/1/2006\"], [2, \"Amy\", 12000, 5,\"5/1/2010\"], [3, \"Mark\", 65000, 12, \"12/25/2008\"], [4, \"Pam\", 25000, 25,\"1/1/2005\"],[5,\"Alex\",5000,10,\"2/3/2007\"]], \"Company\": [[1, \"RED\",\"Boston\"], [2, \"ORANGE\", \"New York\"],[3, \"YELLOW\", \"Boston\"],[4, \"GREEN\", \"Austin\"]],\"Orders\":[[1,\"1/1/2014\",3,4,10000],[2, \"2/1/2014\", 4, 5, 5000],[3, \"3/1/2014\", 1, 1, 50000],[4, \"4/1/2014\", 1, 4, 25000]]}}",
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                    "lang": "Pandas",
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                    "code": "import pandas as pd\n\ndef sales_person(sales_person: pd.DataFrame, company: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "code": "-- Write your PostgreSQL query statement below\n",
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            "hints": [
                "You need to query who sold to company 'RED' first, then output the sales person who is not in the first query result."
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            "sampleTestCase": "{\"headers\": {\"SalesPerson\": [\"sales_id\", \"name\", \"salary\", \"commission_rate\",\"hire_date\"], \"Company\": [\"com_id\", \"name\",\"city\"],\"Orders\":[\"order_id\",\"order_date\",\"com_id\",\"sales_id\",\"amount\"]}, \"rows\": {\"SalesPerson\": [[1, \"John\", 100000, 6, \"4/1/2006\"], [2, \"Amy\", 12000, 5,\"5/1/2010\"], [3, \"Mark\", 65000, 12, \"12/25/2008\"], [4, \"Pam\", 25000, 25,\"1/1/2005\"],[5,\"Alex\",5000,10,\"2/3/2007\"]], \"Company\": [[1, \"RED\",\"Boston\"], [2, \"ORANGE\", \"New York\"],[3, \"YELLOW\", \"Boston\"],[4, \"GREEN\", \"Austin\"]],\"Orders\":[[1,\"1/1/2014\",3,4,10000],[2, \"2/1/2014\", 4, 5, 5000],[3, \"3/1/2014\", 1, 1, 50000],[4, \"4/1/2014\", 1, 4, 25000]]}}",
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                "Create table If Not Exists SalesPerson (sales_id int, name varchar(255), salary int, commission_rate int, hire_date date)",
                "Create table If Not Exists Company (com_id int, name varchar(255), city varchar(255))",
                "Create table If Not Exists Orders (order_id int, order_date date, com_id int, sales_id int, amount int)",
                "Truncate table SalesPerson",
                "insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('1', 'John', '100000', '6', '4/1/2006')",
                "insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('2', 'Amy', '12000', '5', '5/1/2010')",
                "insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('3', 'Mark', '65000', '12', '12/25/2008')",
                "insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('4', 'Pam', '25000', '25', '1/1/2005')",
                "insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('5', 'Alex', '5000', '10', '2/3/2007')",
                "Truncate table Company",
                "insert into Company (com_id, name, city) values ('1', 'RED', 'Boston')",
                "insert into Company (com_id, name, city) values ('2', 'ORANGE', 'New York')",
                "insert into Company (com_id, name, city) values ('3', 'YELLOW', 'Boston')",
                "insert into Company (com_id, name, city) values ('4', 'GREEN', 'Austin')",
                "Truncate table Orders",
                "insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('1', '1/1/2014', '3', '4', '10000')",
                "insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('2', '2/1/2014', '4', '5', '5000')",
                "insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('3', '3/1/2014', '1', '1', '50000')",
                "insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('4', '4/1/2014', '1', '4', '25000')"
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