Product Sales Analysis I
<p>Table: <code>Sales</code></p>

<pre>
+-------------+-------+
| Column Name | Type  |
+-------------+-------+
| sale_id     | int   |
| product_id  | int   |
| year        | int   |
| quantity    | int   |
| price       | int   |
+-------------+-------+
(sale_id, year) is the primary key (combination of columns with unique values) of this table.
product_id is a foreign key (reference column) to <code>Product</code> table.
Each row of this table shows a sale on the product product_id in a certain year.
Note that the price is per unit.
</pre>

<p>&nbsp;</p>

<p>Table: <code>Product</code></p>

<pre>
+--------------+---------+
| Column Name  | Type    |
+--------------+---------+
| product_id   | int     |
| product_name | varchar |
+--------------+---------+
product_id is the primary key (column with unique values) of this table.
Each row of this table indicates the product name of each product.
</pre>

<p>&nbsp;</p>

<p>Write a solution to report the <code>product_name</code>, <code>year</code>, and <code>price</code> for each <code>sale_id</code> in the <code>Sales</code> table.</p>

<p>Return the resulting table in <strong>any order</strong>.</p>

<p>The result format is in the following example.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong> 
Sales table:
+---------+------------+------+----------+-------+
| sale_id | product_id | year | quantity | price |
+---------+------------+------+----------+-------+ 
| 1       | 100        | 2008 | 10       | 5000  |
| 2       | 100        | 2009 | 12       | 5000  |
| 7       | 200        | 2011 | 15       | 9000  |
+---------+------------+------+----------+-------+
Product table:
+------------+--------------+
| product_id | product_name |
+------------+--------------+
| 100        | Nokia        |
| 200        | Apple        |
| 300        | Samsung      |
+------------+--------------+
<strong>Output:</strong> 
+--------------+-------+-------+
| product_name | year  | price |
+--------------+-------+-------+
| Nokia        | 2008  | 5000  |
| Nokia        | 2009  | 5000  |
| Apple        | 2011  | 9000  |
+--------------+-------+-------+
<strong>Explanation:</strong> 
From sale_id = 1, we can conclude that Nokia was sold for 5000 in the year 2008.
From sale_id = 2, we can conclude that Nokia was sold for 5000 in the year 2009.
From sale_id = 7, we can conclude that Apple was sold for 9000 in the year 2011.
</pre>

['product-sales-analysis-ii', 'product-sales-analysis-iv', 'product-sales-analysis-v']
['Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)', 'Create table If Not Exists Product (product_id int, product_name varchar(10))', 'Truncate table Sales', "insert into Sales (sale_id, product_id, year, quantity, price) values ('1', '100', '2008', '10', '5000')", "insert into Sales (sale_id, product_id, year, quantity, price) values ('2', '100', '2009', '12', '5000')", "insert into Sales (sale_id, product_id, year, quantity, price) values ('7', '200', '2011', '15', '9000')", 'Truncate table Product', "insert into Product (product_id, product_name) values ('100', 'Nokia')", "insert into Product (product_id, product_name) values ('200', 'Apple')", "insert into Product (product_id, product_name) values ('300', 'Samsung')"]
[{"value": "mysql", "text": "MySQL", "defaultCode": "# Write your MySQL query statement below\n"}, {"value": "mssql", "text": "MS SQL Server", "defaultCode": "/* Write your T-SQL query statement below */\n"}, {"value": "oraclesql", "text": "Oracle", "defaultCode": "/* Write your PL/SQL query statement below */\n"}, {"value": "pythondata", "text": "Pandas", "defaultCode": "import pandas as pd\n\ndef sales_analysis(sales: pd.DataFrame, product: pd.DataFrame) -> pd.DataFrame:\n    "}, {"value": "postgresql", "text": "PostgreSQL", "defaultCode": "-- Write your PostgreSQL query statement below\n"}]
{"mysql": ["Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)", "Create table If Not Exists Product (product_id int, product_name varchar(10))"], "mssql": ["Create table Sales (sale_id int, product_id int, year int, quantity int, price int)", "Create table Product (product_id int, product_name varchar(10))"], "oraclesql": ["Create table Sales (sale_id int, product_id int, year int, quantity int, price int)", "Create table Product (product_id int, product_name varchar(10))"], "database": true, "name": "sales_analysis", "pythondata": ["Sales = pd.DataFrame([], columns=['sale_id', 'product_id', 'year', 'quantity', 'price']).astype({'sale_id':'Int64', 'product_id':'Int64', 'year':'Int64', 'quantity':'Int64', 'price':'Int64'})", "Product = pd.DataFrame([], columns=['product_id', 'product_name']).astype({'product_id':'Int64', 'product_name':'object'})"], "postgresql": ["Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)\n", "Create table If Not Exists Product (product_id int, product_name varchar(10))"], "database_schema": {"Sales": {"sale_id": "INT", "product_id": "INT", "year": "INT", "quantity": "INT", "price": "INT"}, "Product": {"product_id": "INT", "product_name": "VARCHAR(10)"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']