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‎src/main/kotlin/g3601_3700/s3611_find_overbooked_employees/readme.md‎

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3611\. Find Overbooked Employees
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Medium
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Table: `employees`
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+---------------+---------+
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| Column Name | Type |
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+---------------+---------+
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| employee_id | int |
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| employee_name | varchar |
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| department | varchar |
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+---------------+---------+
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employee_id is the unique identifier for this table.
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Each row contains information about an employee and their department.
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Table: `meetings`
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+---------------+---------+
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| Column Name | Type |
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+---------------+---------+
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| meeting_id | int |
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| employee_id | int |
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| meeting_date | date |
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| meeting_type | varchar |
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| duration_hours| decimal |
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+---------------+---------+
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meeting_id is the unique identifier for this table.
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Each row represents a meeting attended by an employee. meeting_type can be 'Team', 'Client', or 'Training'.
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Write a solution to find employees who are **meeting-heavy** - employees who spend more than `50%` of their working time in meetings during any given week.
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* Assume a standard work week is `40` **hours**
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* Calculate **total meeting hours** per employee **per week** (**Monday to Sunday**)
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* An employee is meeting-heavy if their weekly meeting hours `>` `20` hours (`50%` of `40` hours)
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* Count how many weeks each employee was meeting-heavy
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* **Only include** employees who were meeting-heavy for **at least** `2` **weeks**
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Return _the result table ordered by the number of meeting-heavy weeks in **descending** order, then by employee name in **ascending** order_.
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The result format is in the following example.
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**Example:**
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**Input:**
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employees table:
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+-------------+----------------+-------------+
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| employee_id | employee_name | department |
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+-------------+----------------+-------------+
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| 1 | Alice Johnson | Engineering |
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| 2 | Bob Smith | Marketing |
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| 3 | Carol Davis | Sales |
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| 4 | David Wilson | Engineering |
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| 5 | Emma Brown | HR |
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+-------------+----------------+-------------+
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meetings table:
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+------------+-------------+--------------+--------------+----------------+
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| meeting_id | employee_id | meeting_date | meeting_type | duration_hours |
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+------------+-------------+--------------+--------------+----------------+
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| 1 | 1 | 2023-06-05 | Team | 8.0 |
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| 2 | 1 | 2023-06-06 | Client | 6.0 |
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| 3 | 1 | 2023-06-07 | Training | 7.0 |
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| 4 | 1 | 2023-06-12 | Team | 12.0 |
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| 5 | 1 | 2023-06-13 | Client | 9.0 |
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| 6 | 2 | 2023-06-05 | Team | 15.0 |
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| 7 | 2 | 2023-06-06 | Client | 8.0 |
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| 8 | 2 | 2023-06-12 | Training | 10.0 |
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| 9 | 3 | 2023-06-05 | Team | 4.0 |
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| 10 | 3 | 2023-06-06 | Client | 3.0 |
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| 11 | 4 | 2023-06-05 | Team | 25.0 |
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| 12 | 4 | 2023-06-19 | Client | 22.0 |
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| 13 | 5 | 2023-06-05 | Training | 2.0 |
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+------------+-------------+--------------+--------------+----------------+
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**Output:**
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+-------------+---------------+-------------+---------------------+
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| employee_id | employee_name | department | meeting_heavy_weeks |
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+-------------+---------------+-------------+---------------------+
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| 1 | Alice Johnson | Engineering | 2 |
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| 4 | David Wilson | Engineering | 2 |
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+-------------+---------------+-------------+---------------------+
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**Explanation:**
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* **Alice Johnson (employee\_id = 1):**
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* Week of June 5-11 (2023-06-05 to 2023-06-11): 8.0 + 6.0 + 7.0 = 21.0 hours (> 20 hours)
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* Week of June 12-18 (2023-06-12 to 2023-06-18): 12.0 + 9.0 = 21.0 hours (> 20 hours)
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* Meeting-heavy for 2 weeks
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* **David Wilson (employee\_id = 4):**
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* Week of June 5-11: 25.0 hours (> 20 hours)
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* Week of June 19-25: 22.0 hours (> 20 hours)
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* Meeting-heavy for 2 weeks
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* **Employees not included:**
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* Bob Smith (employee\_id = 2): Week of June 5-11: 15.0 + 8.0 = 23.0 hours (> 20), Week of June 12-18: 10.0 hours (< 20). Only 1 meeting-heavy week
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* Carol Davis (employee\_id = 3): Week of June 5-11: 4.0 + 3.0 = 7.0 hours (< 20). No meeting-heavy weeks
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* Emma Brown (employee\_id = 5): Week of June 5-11: 2.0 hours (< 20). No meeting-heavy weeks
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The result table is ordered by meeting\_heavy\_weeks in descending order, then by employee name in ascending order.

‎src/main/kotlin/g3601_3700/s3611_find_overbooked_employees/script.sql‎

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# Write your MySQL query statement below
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# #Medium #Database #2025_07_09_Time_516_ms_(100.00%)_Space_0.0_MB_(100.00%)
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WITH process_1 AS (
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SELECT
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employee_id,
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SUM(duration_hours) AS duration_total
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FROM
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meetings
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GROUP BY
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employee_id,
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WEEKOFYEAR(meeting_date),
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YEAR(meeting_date)
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)
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SELECT
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p.employee_id,
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e.employee_name,
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e.department,
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COUNT(p.employee_id) AS meeting_heavy_weeks
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FROM
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process_1 p
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INNER JOIN employees e ON p.employee_id = e.employee_id
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WHERE
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duration_total > 20
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GROUP BY
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p.employee_id,
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e.employee_name,
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e.department
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HAVING
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COUNT(p.employee_id) > 1
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ORDER BY
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meeting_heavy_weeks DESC,
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employee_name ASC;

‎src/test/kotlin/g3601_3700/s3611_find_overbooked_employees/MysqlTest.kt‎

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package g3601_3700.s3611_find_overbooked_employees
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import org.hamcrest.CoreMatchers.equalTo
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import org.hamcrest.MatcherAssert.assertThat
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import org.junit.jupiter.api.Test
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import org.zapodot.junit.db.annotations.EmbeddedDatabase
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import org.zapodot.junit.db.annotations.EmbeddedDatabaseTest
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import org.zapodot.junit.db.common.CompatibilityMode
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import java.io.BufferedReader
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import java.io.FileNotFoundException
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import java.io.FileReader
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import java.sql.SQLException
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import java.util.stream.Collectors
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import javax.sql.DataSource
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@EmbeddedDatabaseTest(
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compatibilityMode = CompatibilityMode.MySQL,
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initialSqls = [
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(
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"CREATE TABLE employees (" +
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" employee_id INTEGER," +
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" employee_name VARCHAR(50)," +
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" department VARCHAR(50)" +
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");" +
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"INSERT INTO employees (employee_id, employee_name, department) VALUES" +
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" (1, 'Alice Johnson', 'Engineering')," +
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" (2, 'Bob Smith', 'Marketing')," +
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" (3, 'Carol Davis', 'Sales')," +
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" (4, 'David Wilson', 'Engineering')," +
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" (5, 'Emma Brown', 'HR');" +
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"CREATE TABLE meetings (" +
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" meeting_id INTEGER," +
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" employee_id INTEGER," +
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" meeting_date DATE," +
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" meeting_type VARCHAR(20)," +
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" duration_hours DECIMAL(4,1)" +
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");" +
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"INSERT INTO meetings (meeting_id, employee_id, " +
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"meeting_date, meeting_type, duration_hours) VALUES" +
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" (1, 1, '2023-06-05', 'Team', 8.0)," +
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" (2, 1, '2023-06-06', 'Client', 6.0)," +
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" (3, 1, '2023-06-07', 'Training', 7.0)," +
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" (4, 1, '2023-06-12', 'Team', 12.0)," +
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" (5, 1, '2023-06-13', 'Client', 9.0)," +
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" (6, 2, '2023-06-05', 'Team', 15.0)," +
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" (7, 2, '2023-06-06', 'Client', 8.0)," +
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" (8, 2, '2023-06-12', 'Training', 10.0)," +
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" (9, 3, '2023-06-05', 'Team', 4.0)," +
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" (10, 3, '2023-06-06', 'Client', 3.0)," +
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" (11, 4, '2023-06-05', 'Team', 25.0)," +
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" (12, 4, '2023-06-19', 'Client', 22.0)," +
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" (13, 5, '2023-06-05', 'Training', 2.0);"
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),
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],
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)
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internal class MysqlTest {
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@Test
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@Throws(SQLException::class, FileNotFoundException::class)
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fun testScript(@EmbeddedDatabase dataSource: DataSource) {
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dataSource.connection.use { connection ->
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connection.createStatement().use { statement ->
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statement.executeQuery(
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BufferedReader(
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FileReader(
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(
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"src/main/kotlin/g3601_3700/" +
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"s3611_find_overbooked_employees/" +
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"script.sql"
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),
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),
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)
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.lines()
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.collect(Collectors.joining("\n"))
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.replace("#.*?\\r?\\n".toRegex(), "")
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.replace("WEEKOFYEAR", "ISO_WEEK"),
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).use { resultSet ->
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assertThat<Boolean>(resultSet.next(), equalTo<Boolean>(true))
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assertThat<String>(resultSet.getNString(1), equalTo<String>("1"))
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assertThat<String>(
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resultSet.getNString(2),
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equalTo<String>("Alice Johnson"),
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)
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assertThat<String>(
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resultSet.getNString(3),
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equalTo<String>("Engineering"),
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)
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assertThat<String>(resultSet.getNString(4), equalTo<String>("2"))
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assertThat<Boolean>(resultSet.next(), equalTo<Boolean>(true))
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assertThat<String>(resultSet.getNString(1), equalTo<String>("4"))
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assertThat<String>(
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resultSet.getNString(2),
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equalTo<String>("David Wilson"),
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)
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assertThat<String>(
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resultSet.getNString(3),
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equalTo<String>("Engineering"),
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)
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assertThat<String>(resultSet.getNString(4), equalTo<String>("2"))
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assertThat<Boolean>(resultSet.next(), equalTo<Boolean>(false))
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}
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}
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}
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}
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}

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