diff --git a/.prettierignore b/.prettierignore
index 05bf32e478051..13715bc116db8 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -25,3 +25,4 @@ node_modules/
/solution/2200-2299/2253.Dynamic Unpivoting of a Table/Solution.sql
/solution/3100-3199/3150.Invalid Tweets II/Solution.sql
/solution/3100-3199/3198.Find Cities in Each State/Solution.sql
+/solution/3300-3399/3328.Find Cities in Each State II/Solution.sql
diff --git a/solution/3300-3399/3328.Find Cities in Each State II/README.md b/solution/3300-3399/3328.Find Cities in Each State II/README.md
new file mode 100644
index 0000000000000..7ff0db455e066
--- /dev/null
+++ b/solution/3300-3399/3328.Find Cities in Each State II/README.md
@@ -0,0 +1,193 @@
+---
+comments: true
+difficulty: 中等
+edit_url: https://github.com/doocs/leetcode/edit/main/solution/3300-3399/3328.Find%20Cities%20in%20Each%20State%20II/README.md
+tags:
+ - 数据库
+---
+
+
+
+# [3328. Find Cities in Each State II 🔒](https://leetcode.cn/problems/find-cities-in-each-state-ii)
+
+[English Version](/solution/3300-3399/3328.Find%20Cities%20in%20Each%20State%20II/README_EN.md)
+
+## 题目描述
+
+
+
+Table: cities
+
+
++-------------+---------+
+| Column Name | Type |
++-------------+---------+
+| state | varchar |
+| city | varchar |
++-------------+---------+
+(state, city) is the combination of columns with unique values for this table.
+Each row of this table contains the state name and the city name within that state.
+
+
+Write a solution to find all the cities in each state and analyze them based on the following requirements:
+
+
+ - Combine all cities into a comma-separated string for each state.
+ - Only include states that have at least
3 cities.
+ - Only include states where at least one city starts with the same letter as the state name.
+
+
+Return the result table ordered by the count of matching-letter cities in descending order and then by state name in ascending order.
+
+The result format is in the following example.
+
+
+Example:
+
+
+
Input:
+
+
cities table:
+
+
++--------------+---------------+
+| state | city |
++--------------+---------------+
+| New York | New York City |
+| New York | Newark |
+| New York | Buffalo |
+| New York | Rochester |
+| California | San Francisco |
+| California | Sacramento |
+| California | San Diego |
+| California | Los Angeles |
+| Texas | Tyler |
+| Texas | Temple |
+| Texas | Taylor |
+| Texas | Dallas |
+| Pennsylvania | Philadelphia |
+| Pennsylvania | Pittsburgh |
+| Pennsylvania | Pottstown |
++--------------+---------------+
+
+
+
Output:
+
+
++-------------+-------------------------------------------+-----------------------+
+| state | cities | matching_letter_count |
++-------------+-------------------------------------------+-----------------------+
+| Pennsylvania| Philadelphia, Pittsburgh, Pottstown | 3 |
+| Texas | Dallas, Taylor, Temple, Tyler | 2 |
+| New York | Buffalo, Newark, New York City, Rochester | 2 |
++-------------+-------------------------------------------+-----------------------+
+
+
+
Explanation:
+
+
+ - Pennsylvania:
+
+
+ - Has 3 cities (meets minimum requirement)
+ - All 3 cities start with 'P' (same as state)
+ - matching_letter_count = 3
+
+
+ - Texas:
+
+ - Has 4 cities (meets minimum requirement)
+ - 2 cities (Temple, Tyler) start with 'T' (same as state)
+ - matching_letter_count = 2
+
+
+ - New York:
+
+ - Has 4 cities (meets minimum requirement)
+ - 2 cities (Newark, New York City) start with 'N' (same as state)
+ - matching_letter_count = 2
+
+
+ - California is not included in the output because:
+
+ - Although it has 4 cities (meets minimum requirement)
+ - No cities start with 'C' (doesn't meet the matching letter requirement)
+
+
+
+
+
+
Note:
+
+
+ - Results are ordered by matching_letter_count in descending order
+ - When matching_letter_count is the same (Texas and New York both have 2), they are ordered by state name alphabetically
+ - Cities in each row are ordered alphabetically
+
+
Table: cities
+
+
++-------------+---------+
+| Column Name | Type |
++-------------+---------+
+| state | varchar |
+| city | varchar |
++-------------+---------+
+(state, city) is the combination of columns with unique values for this table.
+Each row of this table contains the state name and the city name within that state.
+
+
+Write a solution to find all the cities in each state and analyze them based on the following requirements:
+
+
+ - Combine all cities into a comma-separated string for each state.
+ - Only include states that have at least
3 cities.
+ - Only include states where at least one city starts with the same letter as the state name.
+
+
+Return the result table ordered by the count of matching-letter cities in descending order and then by state name in ascending order.
+
+The result format is in the following example.
+
+
+Example:
+
+
+
Input:
+
+
cities table:
+
+
++--------------+---------------+
+| state | city |
++--------------+---------------+
+| New York | New York City |
+| New York | Newark |
+| New York | Buffalo |
+| New York | Rochester |
+| California | San Francisco |
+| California | Sacramento |
+| California | San Diego |
+| California | Los Angeles |
+| Texas | Tyler |
+| Texas | Temple |
+| Texas | Taylor |
+| Texas | Dallas |
+| Pennsylvania | Philadelphia |
+| Pennsylvania | Pittsburgh |
+| Pennsylvania | Pottstown |
++--------------+---------------+
+
+
+
Output:
+
+
++-------------+-------------------------------------------+-----------------------+
+| state | cities | matching_letter_count |
++-------------+-------------------------------------------+-----------------------+
+| Pennsylvania| Philadelphia, Pittsburgh, Pottstown | 3 |
+| Texas | Dallas, Taylor, Temple, Tyler | 2 |
+| New York | Buffalo, Newark, New York City, Rochester | 2 |
++-------------+-------------------------------------------+-----------------------+
+
+
+
Explanation:
+
+
+ - Pennsylvania:
+
+
+ - Has 3 cities (meets minimum requirement)
+ - All 3 cities start with 'P' (same as state)
+ - matching_letter_count = 3
+
+
+ - Texas:
+
+ - Has 4 cities (meets minimum requirement)
+ - 2 cities (Temple, Tyler) start with 'T' (same as state)
+ - matching_letter_count = 2
+
+
+ - New York:
+
+ - Has 4 cities (meets minimum requirement)
+ - 2 cities (Newark, New York City) start with 'N' (same as state)
+ - matching_letter_count = 2
+
+
+ - California is not included in the output because:
+
+ - Although it has 4 cities (meets minimum requirement)
+ - No cities start with 'C' (doesn't meet the matching letter requirement)
+
+
+
+
+
+
Note:
+
+
+ - Results are ordered by matching_letter_count in descending order
+ - When matching_letter_count is the same (Texas and New York both have 2), they are ordered by state name alphabetically
+ - Cities in each row are ordered alphabetically
+
+