feat: add sql solution to lc problem: No.2893

solution/2800-2899/2893.Calculate Orders Within Each Interval/README.md

@@ -0,0 +1,97 @@
+# [2893. Calculate Orders Within Each Interval](https://leetcode.cn/problems/calculate-orders-within-each-interval)
+
+[English Version](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)
+
+## 题目描述
+
+<!-- 这里写题目描述 -->
+
+<p>Table: <code><font face="monospace">Orders</font></code></p>
+
+<pre>
++-------------+------+ 
+| Column Name | Type | 
++-------------+------+ 
+| minute      | int  | 
+| order_count | int  |
++-------------+------+
+minute is the primary key for this table.
+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.
+</pre>
+
+<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>
+
+<ul>
+	<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>
+</ul>
+
+<p>Return<em> the result table ordered by <strong>interval_no</strong> in <strong>ascending</strong> order.</em></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> 
+Orders table:
++--------+-------------+
+| minute | order_count | 
++--------+-------------+
+| 1      | 0           |
+| 2      | 2           | 
+| 3      | 4           | 
+| 4      | 6           | 
+| 5      | 1           | 
+| 6      | 4           | 
+| 7      | 1           | 
+| 8      | 2           | 
+| 9      | 4           | 
+| 10     | 1           | 
+| 11     | 4           | 
+| 12     | 6           | 
++--------+-------------+
+<strong>Output:</strong> 
++-------------+--------------+
+| interval_no | total_orders | 
++-------------+--------------+
+| 1           | 17           | 
+| 2           | 18           |    
++-------------+--------------+
+<strong>Explanation:</strong> 
+- Interval number 1 comprises minutes from 1 to 6. The total orders in these six minutes are (0 + 2 + 4 + 6 + 1 + 4) = 17.
+- Interval number 2 comprises minutes from 7 to 12. The total orders in these six minutes are (1 + 2 + 4 + 1 + 4 + 6) = 18.
+Returning table orderd by interval_no in ascending order.</pre>
+
+## 解法
+
+<!-- 这里可写通用的实现逻辑 -->
+
+**方法一：窗口函数**
+
+我们可以用窗口函数 `sum() over()` 来计算每 $6$ 分钟的订单总数，然后每条记录中的 `minute` 能被 $6$ 整除的记录。
+
+<!-- tabs:start -->
+
+### **SQL**
+
+<!-- 这里可写当前语言的特殊实现逻辑 -->
+
+```sql
+# Write your MySQL query statement below
+WITH
+    T AS (
+        SELECT
+            minute,
+            sum(order_count) OVER (
+                ORDER BY minute
+                ROWS 5 PRECEDING
+            ) AS total_orders
+        FROM Orders
+    )
+SELECT minute / 6 AS interval_no, total_orders
+FROM T
+WHERE minute % 6 = 0;
+```
+
+<!-- tabs:end -->

solution/2800-2899/2893.Calculate Orders Within Each Interval/README_EN.md

@@ -0,0 +1,87 @@
+# [2893. Calculate Orders Within Each Interval](https://leetcode.com/problems/calculate-orders-within-each-interval)
+
+[中文文档](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)
+
+## Description
+
+<p>Table: <code><font face="monospace">Orders</font></code></p>
+
+<pre>
++-------------+------+ 
+| Column Name | Type | 
++-------------+------+ 
+| minute      | int  | 
+| order_count | int  |
++-------------+------+
+minute is the primary key for this table.
+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.
+</pre>
+
+<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>
+
+<ul>
+	<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>
+</ul>
+
+<p>Return<em> the result table ordered by <strong>interval_no</strong> in <strong>ascending</strong> order.</em></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> 
+Orders table:
++--------+-------------+
+| minute | order_count | 
++--------+-------------+
+| 1      | 0           |
+| 2      | 2           | 
+| 3      | 4           | 
+| 4      | 6           | 
+| 5      | 1           | 
+| 6      | 4           | 
+| 7      | 1           | 
+| 8      | 2           | 
+| 9      | 4           | 
+| 10     | 1           | 
+| 11     | 4           | 
+| 12     | 6           | 
++--------+-------------+
+<strong>Output:</strong> 
++-------------+--------------+
+| interval_no | total_orders | 
++-------------+--------------+
+| 1           | 17           | 
+| 2           | 18           |    
++-------------+--------------+
+<strong>Explanation:</strong> 
+- Interval number 1 comprises minutes from 1 to 6. The total orders in these six minutes are (0 + 2 + 4 + 6 + 1 + 4) = 17.
+- Interval number 2 comprises minutes from 7 to 12. The total orders in these six minutes are (1 + 2 + 4 + 1 + 4 + 6) = 18.
+Returning table orderd by interval_no in ascending order.</pre>
+
+## Solutions
+
+<!-- tabs:start -->
+
+### **SQL**
+
+```sql
+# Write your MySQL query statement below
+WITH
+    T AS (
+        SELECT
+            minute,
+            sum(order_count) OVER (
+                ORDER BY minute
+                ROWS 5 PRECEDING
+            ) AS total_orders
+        FROM Orders
+    )
+SELECT minute / 6 AS interval_no, total_orders
+FROM T
+WHERE minute % 6 = 0;
+```
+
+<!-- tabs:end -->

solution/2800-2899/2893.Calculate Orders Within Each Interval/Solution.sql

@@ -0,0 +1,14 @@
+# Write your MySQL query statement below
+WITH
+    T AS (
+        SELECT
+            minute,
+            sum(order_count) OVER (
+                ORDER BY minute
+                ROWS 5 PRECEDING
+            ) AS total_orders
+        FROM Orders
+    )
+SELECT minute / 6 AS interval_no, total_orders
+FROM T
+WHERE minute % 6 = 0;

solution/DATABASE_README.md

@@ -144,7 +144,7 @@
 | 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 | 🔒   |
 | 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 |      |
 | 1635 | [Hopper 公司查询 I](/solution/1600-1699/1635.Hopper%20Company%20Queries%20I/README.md)                                                                       | `数据库` | 困难 | 🔒   |
-| 1645 | [1645.Hopper 公司查询 II](/solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md)                                                                | `数据库` | 困难 | 🔒   |
+| 1645 | [Hopper 公司查询 II](/solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md)                                                                     | `数据库` | 困难 | 🔒   |
 | 1651 | [Hopper 公司查询 III](/solution/1600-1699/1651.Hopper%20Company%20Queries%20III/README.md)                                                                   | `数据库` | 困难 | 🔒   |
 | 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 |      |
 | 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 @@
 | 2793 | [航班机票状态](/solution/2700-2799/2793.Status%20of%20Flight%20Tickets/README.md)                                                                            |          | 困难 | 🔒   |
 | 2820 | [选举结果](/solution/2800-2899/2820.Election%20Results/README.md)                                                                                            |          | 中等 | 🔒   |
 | 2837 | [总旅行距离](/solution/2800-2899/2837.Total%20Traveled%20Distance/README.md)                                                                                 | `数据库` | 简单 | 🔒   |
-| 2853 | [Highest Salaries Difference](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md)                                                            |          | 简单 | 🔒   |
-| 2854 | [Rolling Average Steps](/solution/2800-2899/2854.Rolling%20Average%20Steps/README.md)                                                                        |          | 中等 | 🔒   |
+| 2853 | [最高薪水差异](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md)                                                                           | `数据库` | 简单 | 🔒   |
+| 2854 | [滚动平均步数](/solution/2800-2899/2854.Rolling%20Average%20Steps/README.md)                                                                                 | `数据库` | 中等 | 🔒   |
+| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)                                    |          | 中等 | 🔒   |
 
 ## 版权
 

solution/DATABASE_README_EN.md

@@ -241,8 +241,9 @@ Press <kbd>Control</kbd> + <kbd>F</kbd>(or <kbd>Command</kbd> + <kbd>F</kbd> on
 | 2793 | [Status of Flight Tickets](/solution/2700-2799/2793.Status%20of%20Flight%20Tickets/README_EN.md)                                                                                             |            | Hard       | 🔒     |
 | 2820 | [Election Results](/solution/2800-2899/2820.Election%20Results/README_EN.md)                                                                                                                 |            | Medium     | 🔒     |
 | 2837 | [Total Traveled Distance](/solution/2800-2899/2837.Total%20Traveled%20Distance/README_EN.md)                                                                                                 | `Database` | Easy       | 🔒     |
-| 2853 | [Highest Salaries Difference](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README_EN.md)                                                                                         |            | Easy       | 🔒     |
-| 2854 | [Rolling Average Steps](/solution/2800-2899/2854.Rolling%20Average%20Steps/README_EN.md)                                                                                                     |            | Medium     | 🔒     |
+| 2853 | [Highest Salaries Difference](/solution/2800-2899/2853.Highest%20Salaries%20Difference/README_EN.md)                                                                                         | `Database` | Easy       | 🔒     |
+| 2854 | [Rolling Average Steps](/solution/2800-2899/2854.Rolling%20Average%20Steps/README_EN.md)                                                                                                     | `Database` | Medium     | 🔒     |
+| 2893 | [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)                                                                 |            | Medium     | 🔒     |
 
 ## Copyright
 

solution/README.md

@@ -2902,6 +2902,7 @@
 |  2889  |  [Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md)  |    |  简单  |    |
 |  2890  |  [Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md)  |    |  简单  |    |
 |  2891  |  [Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README.md)  |    |  简单  |    |
+|  2893  |  [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)  |    |  中等  |  🔒  |
 
 ## 版权
 

solution/README_EN.md

@@ -2900,6 +2900,7 @@ Press <kbd>Control</kbd> + <kbd>F</kbd>(or <kbd>Command</kbd> + <kbd>F</kbd> on
 |  2889  |  [Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README_EN.md)  |    |  Easy  |    |
 |  2890  |  [Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README_EN.md)  |    |  Easy  |    |
 |  2891  |  [Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README_EN.md)  |    |  Easy  |    |
+|  2893  |  [Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)  |    |  Medium  |  🔒  |
 
 ## Copyright
 

solution/database-summary.md

@@ -134,7 +134,7 @@
     -   [1623.三人国家代表队](/database-solution/1600-1699/1623.All%20Valid%20Triplets%20That%20Can%20Represent%20a%20Country/README.md)
     -   [1633.各赛事的用户注册率](/database-solution/1600-1699/1633.Percentage%20of%20Users%20Attended%20a%20Contest/README.md)
     -   [1635.Hopper 公司查询 I](/database-solution/1600-1699/1635.Hopper%20Company%20Queries%20I/README.md)
-    -   [1645.1645.Hopper 公司查询 II](/database-solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md)
+    -   [1645.Hopper 公司查询 II](/database-solution/1600-1699/1645.Hopper%20Company%20Queries%20II/README.md)
     -   [1651.Hopper 公司查询 III](/database-solution/1600-1699/1651.Hopper%20Company%20Queries%20III/README.md)
     -   [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)
     -   [1667.修复表中的名字](/database-solution/1600-1699/1667.Fix%20Names%20in%20a%20Table/README.md)
@@ -233,5 +233,6 @@
     -   [2793.航班机票状态](/database-solution/2700-2799/2793.Status%20of%20Flight%20Tickets/README.md)
     -   [2820.选举结果](/database-solution/2800-2899/2820.Election%20Results/README.md)
     -   [2837.总旅行距离](/database-solution/2800-2899/2837.Total%20Traveled%20Distance/README.md)
-    -   [2853.Highest Salaries Difference](/database-solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md)
-    -   [2854.Rolling Average Steps](/database-solution/2800-2899/2854.Rolling%20Average%20Steps/README.md)
+    -   [2853.最高薪水差异](/database-solution/2800-2899/2853.Highest%20Salaries%20Difference/README.md)
+    -   [2854.滚动平均步数](/database-solution/2800-2899/2854.Rolling%20Average%20Steps/README.md)
+    -   [2893.Calculate Orders Within Each Interval](/database-solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)

solution/database-summary_en.md

@@ -235,3 +235,4 @@
     -   [2837.Total Traveled Distance](/database-solution/2800-2899/2837.Total%20Traveled%20Distance/README_EN.md)
     -   [2853.Highest Salaries Difference](/database-solution/2800-2899/2853.Highest%20Salaries%20Difference/README_EN.md)
     -   [2854.Rolling Average Steps](/database-solution/2800-2899/2854.Rolling%20Average%20Steps/README_EN.md)
+    -   [2893.Calculate Orders Within Each Interval](/database-solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)

solution/summary.md

@@ -2947,3 +2947,4 @@
   - [2889.Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README.md)
   - [2890.Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md)
   - [2891.Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README.md)
+  - [2893.Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README.md)

solution/summary_en.md

@@ -2947,3 +2947,4 @@
   - [2889.Reshape Data Pivot](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README_EN.md)
   - [2890.Reshape Data Melt](/solution/2800-2899/2890.Reshape%20Data%20Melt/README_EN.md)
   - [2891.Method Chaining](/solution/2800-2899/2891.Method%20Chaining/README_EN.md)
+  - [2893.Calculate Orders Within Each Interval](/solution/2800-2899/2893.Calculate%20Orders%20Within%20Each%20Interval/README_EN.md)