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Commit 4ebde8b

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Added task 3611
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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年06月05日 | Team | 8.0 |
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| 2 | 1 | 2023年06月06日 | Client | 6.0 |
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| 3 | 1 | 2023年06月07日 | Training | 7.0 |
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| 4 | 1 | 2023年06月12日 | Team | 12.0 |
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| 5 | 1 | 2023年06月13日 | Client | 9.0 |
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| 6 | 2 | 2023年06月05日 | Team | 15.0 |
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| 7 | 2 | 2023年06月06日 | Client | 8.0 |
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| 8 | 2 | 2023年06月12日 | Training | 10.0 |
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| 9 | 3 | 2023年06月05日 | Team | 4.0 |
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| 10 | 3 | 2023年06月06日 | Client | 3.0 |
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| 11 | 4 | 2023年06月05日 | Team | 25.0 |
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| 12 | 4 | 2023年06月19日 | Client | 22.0 |
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| 13 | 5 | 2023年06月05日 | 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年06月05日 to 2023年06月11日): 8.0 + 6.0 + 7.0 = 21.0 hours (> 20 hours)
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* Week of June 12-18 (2023年06月12日 to 2023年06月18日): 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.
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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;
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package g3601_3700.s3611_find_overbooked_employees;
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import static org.hamcrest.CoreMatchers.equalTo;
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import static org.hamcrest.MatcherAssert.assertThat;
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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.Connection;
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import java.sql.ResultSet;
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import java.sql.SQLException;
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import java.sql.Statement;
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import java.util.stream.Collectors;
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import javax.sql.DataSource;
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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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@EmbeddedDatabaseTest(
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compatibilityMode = CompatibilityMode.MySQL,
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initialSqls =
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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年06月05日', 'Team', 8.0),"
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+ " (2, 1, '2023年06月06日', 'Client', 6.0),"
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+ " (3, 1, '2023年06月07日', 'Training', 7.0),"
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+ " (4, 1, '2023年06月12日', 'Team', 12.0),"
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+ " (5, 1, '2023年06月13日', 'Client', 9.0),"
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+ " (6, 2, '2023年06月05日', 'Team', 15.0),"
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+ " (7, 2, '2023年06月06日', 'Client', 8.0),"
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+ " (8, 2, '2023年06月12日', 'Training', 10.0),"
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+ " (9, 3, '2023年06月05日', 'Team', 4.0),"
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+ " (10, 3, '2023年06月06日', 'Client', 3.0),"
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+ " (11, 4, '2023年06月05日', 'Team', 25.0),"
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+ " (12, 4, '2023年06月19日', 'Client', 22.0),"
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+ " (13, 5, '2023年06月05日', 'Training', 2.0);")
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class MysqlTest {
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@Test
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void testScript(@EmbeddedDatabase DataSource dataSource)
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throws SQLException, FileNotFoundException {
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try (final Connection connection = dataSource.getConnection()) {
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try (final Statement statement = connection.createStatement();
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final ResultSet resultSet =
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statement.executeQuery(
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new BufferedReader(
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new FileReader(
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"src/main/java/g3601_3700/"
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+ "s3611_find_overbooked_employees/"
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+ "script.sql"))
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.lines()
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.collect(Collectors.joining("\n"))
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.replaceAll("#.*?\\r?\\n", "")
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.replace("WEEKOFYEAR", "ISO_WEEK"))) {
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assertThat(resultSet.next(), equalTo(true));
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assertThat(resultSet.getNString(1), equalTo("1"));
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assertThat(resultSet.getNString(2), equalTo("Alice Johnson"));
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assertThat(resultSet.getNString(3), equalTo("Engineering"));
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assertThat(resultSet.getNString(4), equalTo("2"));
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assertThat(resultSet.next(), equalTo(true));
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assertThat(resultSet.getNString(1), equalTo("4"));
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assertThat(resultSet.getNString(2), equalTo("David Wilson"));
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assertThat(resultSet.getNString(3), equalTo("Engineering"));
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assertThat(resultSet.getNString(4), equalTo("2"));
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assertThat(resultSet.next(), equalTo(false));
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}
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}
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}
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}

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