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feat: add sql solution to lc problem: No.2893 (doocs#1751)
No.2893.Calculate Orders Within Each Interval
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# [2893. Calculate Orders Within Each Interval](https://leetcode.cn/problems/calculate-orders-within-each-interval)
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[English Version](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)
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## 题目描述
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<!-- 这里写题目描述 -->
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<p>Table: <code><font face="monospace">Orders</font></code></p>
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<pre>
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+-------------+------+
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| Column Name | Type |
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+-------------+------+
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| minute | int |
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| order_count | int |
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+-------------+------+
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minute is the primary key for this table.
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Each row of this table contains the minute and number of orders received during that specific minute. The total number of rows will be a multiple of 6.
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</pre>
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<p>Write a query to calculate <strong>total</strong> <strong>orders</strong><b> </b>within each <strong>interval</strong>. Each interval is defined as a combination of <code>6</code> minutes.</p>
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<ul>
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<li>Minutes <code>1</code> to <code>6</code> fall within interval <code>1</code>, while minutes <code>7</code> to <code>12</code> belong to interval <code>2</code>, and so forth.</li>
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</ul>
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<p>Return<em> the result table ordered by <strong>interval_no</strong> in <strong>ascending</strong> order.</em></p>
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<p>The result format is in the following example.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:</strong>
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Orders table:
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+--------+-------------+
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| minute | order_count |
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+--------+-------------+
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| 1 | 0 |
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| 2 | 2 |
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| 3 | 4 |
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| 4 | 6 |
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| 5 | 1 |
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| 6 | 4 |
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| 7 | 1 |
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| 8 | 2 |
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| 9 | 4 |
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| 10 | 1 |
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| 11 | 4 |
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| 12 | 6 |
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+--------+-------------+
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<strong>Output:</strong>
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+-------------+--------------+
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| interval_no | total_orders |
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+-------------+--------------+
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| 1 | 17 |
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| 2 | 18 |
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+-------------+--------------+
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<strong>Explanation:</strong>
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- Interval number 1 comprises minutes from 1 to 6. The total orders in these six minutes are (0 + 2 + 4 + 6 + 1 + 4) = 17.
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- Interval number 2 comprises minutes from 7 to 12. The total orders in these six minutes are (1 + 2 + 4 + 1 + 4 + 6) = 18.
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Returning table orderd by interval_no in ascending order.</pre>
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## 解法
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<!-- 这里可写通用的实现逻辑 -->
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**方法一:窗口函数**
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我们可以用窗口函数 `sum() over()` 来计算每 6ドル$ 分钟的订单总数,然后每条记录中的 `minute` 能被 6ドル$ 整除的记录。
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<!-- tabs:start -->
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### **SQL**
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<!-- 这里可写当前语言的特殊实现逻辑 -->
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```sql
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# Write your MySQL query statement below
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WITH
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T AS (
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SELECT
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minute,
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sum(order_count) OVER (
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ORDER BY minute
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ROWS 5 PRECEDING
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) AS total_orders
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FROM Orders
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)
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SELECT minute / 6 AS interval_no, total_orders
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FROM T
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WHERE minute % 6 = 0;
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```
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<!-- tabs:end -->
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# [2893. Calculate Orders Within Each Interval](https://leetcode.com/problems/calculate-orders-within-each-interval)
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[中文文档](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)
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## Description
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<p>Table: <code><font face="monospace">Orders</font></code></p>
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<pre>
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+-------------+------+
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| Column Name | Type |
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+-------------+------+
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| minute | int |
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| order_count | int |
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+-------------+------+
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minute is the primary key for this table.
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Each row of this table contains the minute and number of orders received during that specific minute. The total number of rows will be a multiple of 6.
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</pre>
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<p>Write a query to calculate <strong>total</strong> <strong>orders</strong><b> </b>within each <strong>interval</strong>. Each interval is defined as a combination of <code>6</code> minutes.</p>
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<ul>
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<li>Minutes <code>1</code> to <code>6</code> fall within interval <code>1</code>, while minutes <code>7</code> to <code>12</code> belong to interval <code>2</code>, and so forth.</li>
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</ul>
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<p>Return<em> the result table ordered by <strong>interval_no</strong> in <strong>ascending</strong> order.</em></p>
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<p>The result format is in the following example.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:</strong>
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Orders table:
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+--------+-------------+
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| minute | order_count |
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+--------+-------------+
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| 1 | 0 |
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| 2 | 2 |
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| 3 | 4 |
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| 4 | 6 |
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| 5 | 1 |
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| 6 | 4 |
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| 7 | 1 |
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| 8 | 2 |
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| 9 | 4 |
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| 10 | 1 |
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| 11 | 4 |
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| 12 | 6 |
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+--------+-------------+
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<strong>Output:</strong>
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+-------------+--------------+
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| interval_no | total_orders |
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+-------------+--------------+
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| 1 | 17 |
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| 2 | 18 |
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+-------------+--------------+
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<strong>Explanation:</strong>
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- Interval number 1 comprises minutes from 1 to 6. The total orders in these six minutes are (0 + 2 + 4 + 6 + 1 + 4) = 17.
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- Interval number 2 comprises minutes from 7 to 12. The total orders in these six minutes are (1 + 2 + 4 + 1 + 4 + 6) = 18.
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Returning table orderd by interval_no in ascending order.</pre>
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## Solutions
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<!-- tabs:start -->
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### **SQL**
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```sql
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# Write your MySQL query statement below
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WITH
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T AS (
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SELECT
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minute,
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sum(order_count) OVER (
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ORDER BY minute
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ROWS 5 PRECEDING
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) AS total_orders
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FROM Orders
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)
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SELECT minute / 6 AS interval_no, total_orders
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FROM T
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WHERE minute % 6 = 0;
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```
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<!-- tabs:end -->
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# Write your MySQL query statement below
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WITH
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T AS (
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SELECT
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minute,
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sum(order_count) OVER (
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ORDER BY minute
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ROWS 5 PRECEDING
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) AS total_orders
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FROM Orders
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)
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SELECT minute / 6 AS interval_no, total_orders
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FROM T
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WHERE minute % 6 = 0;

‎solution/DATABASE_README.md‎

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| 1623 | [三人国家代表队](/solution/1600-1699/1623.All%20Valid%20Triplets%20That%20Can%20Represent%20a%20Country/README.md) | `数据库` | 简单 | 🔒 |
145145
| 1633 | [各赛事的用户注册率](/solution/1600-1699/1633.Percentage%20of%20Users%20Attended%20a%20Contest/README.md) | `数据库` | 简单 | |
146146
| 1635 | [Hopper 公司查询 I](/solution/1600-1699/1635.Hopper%20Company%20Queries%20I/README.md) | `数据库` | 困难 | 🔒 |
147-
| 1645 | [1645.Hopper 公司查询 II](/solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md) | `数据库` | 困难 | 🔒 |
147+
| 1645 | [Hopper 公司查询 II](/solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md) | `数据库` | 困难 | 🔒 |
148148
| 1651 | [Hopper 公司查询 III](/solution/1600-1699/1651.Hopper%20Company%20Queries%20III/README.md) | `数据库` | 困难 | 🔒 |
149149
| 1661 | [每台机器的进程平均运行时间](/solution/1600-1699/1661.Average%20Time%20of%20Process%20per%20Machine/README.md) | `数据库` | 简单 | |
150150
| 1667 | [修复表中的名字](/solution/1600-1699/1667.Fix%20Names%20in%20a%20Table/README.md) | `数据库` | 简单 | |
@@ -243,8 +243,9 @@
243243
| 2793 | [航班机票状态](/solution/2700-2799/2793.Status%20of%20Flight%20Tickets/README.md) | | 困难 | 🔒 |
244244
| 2820 | [选举结果](/solution/2800-2899/2820.Election%20Results/README.md) | | 中等 | 🔒 |
245245
| 2837 | [总旅行距离](/solution/2800-2899/2837.Total%20Traveled%20Distance/README.md) | `数据库` | 简单 | 🔒 |
246-
| 2853 | [Highest Salaries Difference](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md) | | 简单 | 🔒 |
247-
| 2854 | [Rolling Average Steps](/solution/2800-2899/2854.Rolling%20Average%20Steps/README.md) | | 中等 | 🔒 |
246+
| 2853 | [最高薪水差异](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md) | `数据库` | 简单 | 🔒 |
247+
| 2854 | [滚动平均步数](/solution/2800-2899/2854.Rolling%20Average%20Steps/README.md) | `数据库` | 中等 | 🔒 |
248+
| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md) | | 中等 | 🔒 |
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## 版权
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‎solution/DATABASE_README_EN.md‎

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| 2793 | [Status of Flight Tickets](/solution/2700-2799/2793.Status%20of%20Flight%20Tickets/README_EN.md) | | Hard | 🔒 |
242242
| 2820 | [Election Results](/solution/2800-2899/2820.Election%20Results/README_EN.md) | | Medium | 🔒 |
243243
| 2837 | [Total Traveled Distance](/solution/2800-2899/2837.Total%20Traveled%20Distance/README_EN.md) | `Database` | Easy | 🔒 |
244-
| 2853 | [Highest Salaries Difference](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README_EN.md) | | Easy | 🔒 |
245-
| 2854 | [Rolling Average Steps](/solution/2800-2899/2854.Rolling%20Average%20Steps/README_EN.md) | | Medium | 🔒 |
244+
| 2853 | [Highest Salaries Difference](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README_EN.md) | `Database` | Easy | 🔒 |
245+
| 2854 | [Rolling Average Steps](/solution/2800-2899/2854.Rolling%20Average%20Steps/README_EN.md) | `Database` | Medium | 🔒 |
246+
| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md) | | Medium | 🔒 |
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## Copyright
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‎solution/README.md‎

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| 2889 | [Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md) | | 简单 | |
29032903
| 2890 | [Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md) | | 简单 | |
29042904
| 2891 | [Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README.md) | | 简单 | |
2905+
| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md) | | 中等 | 🔒 |
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## 版权
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‎solution/README_EN.md‎

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| 2889 | [Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README_EN.md) | | Easy | |
29012901
| 2890 | [Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README_EN.md) | | Easy | |
29022902
| 2891 | [Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README_EN.md) | | Easy | |
2903+
| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md) | | Medium | 🔒 |
29032904

29042905
## Copyright
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‎solution/database-summary.md‎

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- [1623.三人国家代表队](/database-solution/1600-1699/1623.All%20Valid%20Triplets%20That%20Can%20Represent%20a%20Country/README.md)
135135
- [1633.各赛事的用户注册率](/database-solution/1600-1699/1633.Percentage%20of%20Users%20Attended%20a%20Contest/README.md)
136136
- [1635.Hopper 公司查询 I](/database-solution/1600-1699/1635.Hopper%20Company%20Queries%20I/README.md)
137-
- [1645.1645.Hopper 公司查询 II](/database-solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md)
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- [1645.Hopper 公司查询 II](/database-solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md)
138138
- [1651.Hopper 公司查询 III](/database-solution/1600-1699/1651.Hopper%20Company%20Queries%20III/README.md)
139139
- [1661.每台机器的进程平均运行时间](/database-solution/1600-1699/1661.Average%20Time%20of%20Process%20per%20Machine/README.md)
140140
- [1667.修复表中的名字](/database-solution/1600-1699/1667.Fix%20Names%20in%20a%20Table/README.md)
@@ -233,5 +233,6 @@
233233
- [2793.航班机票状态](/database-solution/2700-2799/2793.Status%20of%20Flight%20Tickets/README.md)
234234
- [2820.选举结果](/database-solution/2800-2899/2820.Election%20Results/README.md)
235235
- [2837.总旅行距离](/database-solution/2800-2899/2837.Total%20Traveled%20Distance/README.md)
236-
- [2853.Highest Salaries Difference](/database-solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md)
237-
- [2854.Rolling Average Steps](/database-solution/2800-2899/2854.Rolling%20Average%20Steps/README.md)
236+
- [2853.最高薪水差异](/database-solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md)
237+
- [2854.滚动平均步数](/database-solution/2800-2899/2854.Rolling%20Average%20Steps/README.md)
238+
- [2893.Calculate Orders Within Each Interval](/database-solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)

‎solution/database-summary_en.md‎

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- [2837.Total Traveled Distance](/database-solution/2800-2899/2837.Total%20Traveled%20Distance/README_EN.md)
236236
- [2853.Highest Salaries Difference](/database-solution/2800-2899/2853.Highest%20Salaries%20Difference/README_EN.md)
237237
- [2854.Rolling Average Steps](/database-solution/2800-2899/2854.Rolling%20Average%20Steps/README_EN.md)
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- [2893.Calculate Orders Within Each Interval](/database-solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)

‎solution/summary.md‎

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- [2889.Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md)
29482948
- [2890.Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md)
29492949
- [2891.Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README.md)
2950+
- [2893.Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)

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