3156. Employee Task Duration and Concurrent Tasks 🔒

Description

Table: Tasks

+---------------+----------+
| Column Name   | Type     |
+---------------+----------+
| task_id       | int      |
| employee_id   | int      |
| start_time    | datetime |
| end_time      | datetime |
+---------------+----------+
(task_id, employee_id) is the primary key for this table.
Each row in this table contains the task identifier, the employee identifier, and the start and end times of each task.

Write a solution to find the total duration of tasks for each employee and the maximum number of concurrent tasks an employee handled at any point in time. The total duration should be rounded down to the nearest number of full hours.

Return the result table ordered by employee_id ascending order.

The result format is in the following example.

Example:

Input:

Tasks table:

+---------+-------------+---------------------+---------------------+
| task_id | employee_id | start_time          | end_time            |
+---------+-------------+---------------------+---------------------+
| 1       | 1001        | 2023-05-01 08:00:00 | 2023-05-01 09:00:00 |
| 2       | 1001        | 2023-05-01 08:30:00 | 2023-05-01 10:30:00 |
| 3       | 1001        | 2023-05-01 11:00:00 | 2023-05-01 12:00:00 |
| 7       | 1001        | 2023-05-01 13:00:00 | 2023-05-01 15:30:00 |
| 4       | 1002        | 2023-05-01 09:00:00 | 2023-05-01 10:00:00 |
| 5       | 1002        | 2023-05-01 09:30:00 | 2023-05-01 11:30:00 |
| 6       | 1003        | 2023-05-01 14:00:00 | 2023-05-01 16:00:00 |
+---------+-------------+---------------------+---------------------+

Output:

+-------------+------------------+----------------------+
| employee_id | total_task_hours | max_concurrent_tasks |
+-------------+------------------+----------------------+
| 1001        | 6                | 2                    |
| 1002        | 2                | 2                    |
| 1003        | 2                | 1                    |
+-------------+------------------+----------------------+

Explanation:

For employee ID 1001:
- Task 1 and Task 2 overlap from 08:30 to 09:00 (30 minutes).
- Task 7 has a duration of 150 minutes (2 hours and 30 minutes).
- Total task time: 60 (Task 1) + 120 (Task 2) + 60 (Task 3) + 150 (Task 7) - 30 (overlap) = 360 minutes = 6 hours.
- Maximum concurrent tasks: 2 (during the overlap period).
For employee ID 1002:
- Task 4 and Task 5 overlap from 09:30 to 10:00 (30 minutes).
- Total task time: 60 (Task 4) + 120 (Task 5) - 30 (overlap) = 150 minutes = 2 hours and 30 minutes.
- Total task hours (rounded down): 2 hours.
- Maximum concurrent tasks: 2 (during the overlap period).
For employee ID 1003:
- No overlapping tasks.
- Total task time: 120 minutes = 2 hours.
- Maximum concurrent tasks: 1.

Note: Output table is ordered by employee_id in ascending order.

Solutions

Solution 1: Merge + Join

First, we merge the start_time and end_time for each employee_id into a new table T. Then, using the LEAD function, we calculate the start time of the next task for each employee. Next, we join table T with the Tasks table to compute the concurrent task count for each employee. Finally, we group by employee_id to calculate the total task duration and the maximum concurrent tasks for each employee.

Similar Problem:

3268. Find Overlapping Shifts II 🔒

MySQL

# Write your MySQL query statement below
WITH
    T AS (
        SELECT DISTINCT employee_id, start_time AS st
        FROM Tasks
        UNION DISTINCT
        SELECT DISTINCT employee_id, end_time AS st
        FROM Tasks
    ),
    P AS (
        SELECT
            *,
            LEAD(st) OVER (
                PARTITION BY employee_id
                ORDER BY st
            ) AS ed
        FROM T
    ),
    S AS (
        SELECT
            P.*,
            COUNT(1) AS concurrent_count
        FROM
            P
            INNER JOIN Tasks USING (employee_id)
        WHERE P.st >= Tasks.start_time AND P.ed <= Tasks.end_time
        GROUP BY 1, 2, 3
    )
SELECT
    employee_id,
    FLOOR(SUM(TIME_TO_SEC(TIMEDIFF(ed, st)) / 3600)) AS total_task_hours,
    MAX(concurrent_count) AS max_concurrent_tasks
FROM S
GROUP BY 1
ORDER BY 1;

3156. Employee Task Duration and Concurrent Tasks 🔒

Description

Solutions

Solution 1: Merge + Join

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