I'm using postgresql to store historical data coming from an RTLS platform. Position data is not collected continuosly. The historical_movements is implemented as a single table as follow (it is a simplified table but enough to present the use case):
User Area EnterTime ExitTime
John room1 2018-01-01 10:00:00 2018-01-01 10:00:05
Doe room1 2018-01-01 10:00:00 2018-01-01 10:10:00
John room1 2018-01-01 10:05:00 2018-01-01 10:10:00
Doe room1 2018-01-01 10:20:00 2018-01-01 10:30:00
John room2 2018-01-01 11:00:00 2018-01-01 11:05:00
John room2 2018-01-01 11:08:00 2018-01-01 11:15:00
John room1 2018-01-01 12:00:00 2018-01-01 12:08:00
John room1 2018-01-01 12:10:00 2018-01-01 12:20:00
John room1 2018-01-01 12:25:00 2018-01-01 12:25:00
John room3 2018-01-01 12:30:00 2018-01-01 12:35:00
John room3 2018-01-01 12:40:00 2018-01-01 12:50:00
I'm looking at a way to make a query showing the user staying in the various rooms, aggregating the data related to the same room and computing the overall staying time, as follows
User Area EnterTime ExitTime ArregateTime
John room1 2018-01-01 10:00:00 2018-01-01 10:10:00 00:10:00
John room2 2018-01-01 11:00:00 2018-01-01 11:05:00 00:15:00
John room1 2018-01-01 12:00:00 2018-01-01 12:25:00 00:25:00
John room3 2018-01-01 12:30:00 2018-01-01 12:50:00 00:20:00
Doe room1 2018-01-01 10:00:00 2018-01-01 10:30:00 00:30:00
Looking at various threads I'm quite sure I'd have to use lag and partition by functions but it's not clear how. Any hints? Best regards.