# 1511. Customer Order Frequency

<https://leetcode.com/problems/customer-order-frequency>

## Description

Table: `Customers`

```

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| customer\_id   | int     |
| name          | varchar |
| country       | varchar |
+---------------+---------+
customer\_id is the primary key for this table.
This table contains information of the customers in the company.
```

Table: `Product`

```

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| product\_id    | int     |
| description   | varchar |
| price         | int     |
+---------------+---------+
product\_id is the primary key for this table.
This table contains information of the products in the company.
price is the product cost.
```

Table: `Orders`

```

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| order\_id      | int     |
| customer\_id   | int     |
| product\_id    | int     |
| order\_date    | date    |
| quantity      | int     |
+---------------+---------+
order\_id is the primary key for this table.
This table contains information on customer orders.
customer\_id is the id of the customer who bought "quantity" products with id "product\_id".
Order\_date is the date in format ('YYYY-MM-DD') when the order was shipped.
```

Write an SQL query to report the customer\_id and customer\_name of customers who have spent at least $100 in each month of June and July 2020.

Return the result table in any order.

The query result format is in the following example.

```

Customers
+--------------+-----------+-------------+
| customer\_id  | name      | country     |
+--------------+-----------+-------------+
| 1            | Winston   | USA         |
| 2            | Jonathan  | Peru        |
| 3            | Moustafa  | Egypt       |
+--------------+-----------+-------------+

Product
+--------------+-------------+-------------+
| product\_id   | description | price       |
+--------------+-------------+-------------+
| 10           | LC Phone    | 300         |
| 20           | LC T-Shirt  | 10          |
| 30           | LC Book     | 45          |
| 40           | LC Keychain | 2           |
+--------------+-------------+-------------+

Orders
+--------------+-------------+-------------+-------------+-----------+
| order\_id     | customer\_id | product\_id  | order\_date  | quantity  |
+--------------+-------------+-------------+-------------+-----------+
| 1            | 1           | 10          | 2020-06-10  | 1         |
| 2            | 1           | 20          | 2020-07-01  | 1         |
| 3            | 1           | 30          | 2020-07-08  | 2         |
| 4            | 2           | 10          | 2020-06-15  | 2         |
| 5            | 2           | 40          | 2020-07-01  | 10        |
| 6            | 3           | 20          | 2020-06-24  | 2         |
| 7            | 3           | 30          | 2020-06-25  | 2         |
| 9            | 3           | 30          | 2020-05-08  | 3         |
+--------------+-------------+-------------+-------------+-----------+

Result table:
+--------------+------------+
| customer\_id  | name       |  
+--------------+------------+
| 1            | Winston    |
+--------------+------------+ 
Winston spent $300 (300 * 1) in June and $100 ( 10 * 1 + 45 * 2) in July 2020.
Jonathan spent $600 (300 * 2) in June and $20 ( 2 * 10) in July 2020.
Moustafa spent $110 (10 * 2 + 45 * 2) in June and $0 in July 2020.
```

## ac

```java
```
