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Dear all,
I have the following situation: I have a 'big data' source of about 2 gig of QVD data for one year of data consisting lets say of position information for vehicles. In essence:
Vehicle | Datetime | Position | |
---|---|---|---|
A | 01/01/2013 | X | |
B | 01/01/2013 | Y | |
C | 01/01/2013 | X | |
D | 01/01/2013 | Y |
....
In need to determine a commun path for several vehicles. This is no problem with qlikview as when I select the vehicles, I recieve the associated positions. However, I need to do this for different Datetimes. Meaning: I need the list of positions of vehicle A on date 01/01/2013 and I need the list of positions of vehicle B on date 02/01/2013 and from those two lists I need the postions which correspond.
Has anyone got a clever idea on how to do this without loading the QVD multiple times?
Thank you and I wish you all a merry Chistmas and a happy new year.
Try using a set analysis expression with implicite field value definitions, maybe like
=count( DISTINCT
{<Position = p({<Vehicle = {A}, Datetime= {'01/01/2013'}>})
* p({<Vehicle = {B},Datetime= {'02/01/2013'}>}) >}
Position)
Instead of the fixed Vehicles and Datetime values, you can use alternate states to let the user select from list boxes.
Hope this helps,
Stefan
Try using a set analysis expression with implicite field value definitions, maybe like
=count( DISTINCT
{<Position = p({<Vehicle = {A}, Datetime= {'01/01/2013'}>})
* p({<Vehicle = {B},Datetime= {'02/01/2013'}>}) >}
Position)
Instead of the fixed Vehicles and Datetime values, you can use alternate states to let the user select from list boxes.
Hope this helps,
Stefan
Thank you swuehl, that sounds very promising. Now I understand that business about the alternate states...