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SQLize.online is a free online SQL environment for quickly running, experimenting with and sharing code.
You can run your SQL code on top of the most popular RDBMS including MySQL, MariaDB, SQLite, PostgreSQL, Oracle and Microsoft SQL Server.
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-- Online SQL Editor to Run SQL Online. -- Use the editor to create new tables, insert data and all other SQL operations. drop table if exists swipe; CREATE TABLE swipe ( employee_id INT, activity_type VARCHAR(10), activity_time datetime ); -- Insert sample data INSERT INTO swipe (employee_id, activity_type, activity_time) VALUES (1, 'login', '2024-07-23 08:00:00'), (1, 'logout', '2024-07-23 12:00:00'), (1, 'login', '2024-07-23 13:00:00'), (1, 'logout', '2024-07-23 17:00:00'), (2, 'login', '2024-07-23 09:00:00'), (2, 'logout', '2024-07-23 11:00:00'), (2, 'login', '2024-07-23 12:00:00'), (2, 'logout', '2024-07-23 15:00:00'), (1, 'login', '2024-07-24 08:30:00'), (1, 'logout', '2024-07-24 12:30:00'), (2, 'login', '2024-07-24 09:30:00'), (2, 'logout', '2024-07-24 10:30:00'); with cte as (select * , lead(activity_time) over(partition by employee_id, day(activity_time) order by activity_time) as ld ,lead(activity_type) over(partition by employee_id, day(activity_time) order by activity_time) tag from swipe) select employee_id, sum(datediff(hour, activity_time, ld)) working_hour--, datediff(hour,min(activity_type),max(ld)) from cte group by employee_id,day(activity_time)
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