I want to measuere how long we are using our smartphones during the day,
so eveytime the smartphone is active a ‘1’ is sent to the influx database, and when the phone is not active anymore, a value ‘0’ is sent., so i want the sum of all the times (in seconds) during a certain timeperiod (1 day) t that the value is ‘1’: for example
10:15:05 → 1
10:16:05 → 0
10:30:30 → 1
10:30:45 → 0
Next, add a filter statement after the elapsed function to filter out only those whose _value = 0. This is because the “active” time (when the state 1 goes to state 0) is captured in those records where _value = 0. If you wanted to know the time when the phone is NOT active, you would set the filter where _value = 1.
Thank you a lot for this!
This works great! This is what I wanted.
If I want to see for each day how much the smartphone was active I guess I have to use the:
let’s say I have the range set to ‘last week’, and i want to see for every day what the useage of the phone was, i will need to use this i think?
|> aggregateWindow(every: 1d , fn:last, createEmpty: false)
but this does not seems to work. I am not sure where to put this function.
thank you a lot for this!
I thought of it when i was in bed to do it this way! But great to hear I was thinking the correct way to do it.
I sitll have a follow up queston… (i allready tried several things but I am not able to do it…)
now i have for each day the total seconds a phone was used.
but if i want to convert this to ‘hours’…
i was thinking about using this function:
I think this will work. There may be a more elegant way to just have one single column called elapsed which has the float value, but I created a second column called elapsedFloat and then divided by 3600.0 to get the decimal hours.