I'm working on a IoT project. I've a Raspberry pi which send data to an IoTHub on Azure. That Hub forwards that data to an Azure Stream Analytics Job. In my query I try to aggregate(here an average) all the data in a TumblingWindow of 1 minute but as a Timestamp I use a custom datetime sent in the data.
I've tried many things but nothing seemed to work. the stream job seems to ignore the datetime I provide and just aggregate everything based on the arrival time. Only when using the "Test" functionality by uploading a json file does it works.
SELECT
DateAdd(minute, -1, system.Timestamp) as TumblingWindowStartTime,
system.TimeStamp as TumblingWindowEndTime,
event.DeviceId as DeviceId,
AVG(event.Temperature) as TemperatureAverage,
Count(*) as MeasurementsCount
INTO
[input]
FROM
[output] as event
TIMESTAMP BY MeasuredOn
GROUP BY
event.DeviceId,
TumblingWindow(minute, 1)
Type of data I send
[
{
"Temperature":13.426585352712585,
"DeviceId":"UlyssesPi",
"MeasuredOn":"2019-04-09T11:20:30.1027311Z"
},
{
"Temperature":16.81523611620778,
"DeviceId":"UlyssesPi",
"MeasuredOn":"2019-04-09T11:20:35.2281002Z"
},
...
]
What I'm expecting is what I get when using the "Test" functionality on Azure Stream Analytics :
TUMBLINGWINDOWSTARTTIME || TUMBLINGWINDOWENDTIME || DEVICEID || TEMPERATUREAVERAGE || MEASUREMENTSCOUNT
"2019-04-09T11:20:0... "2019-04-09T11:21:0... UlyssesPi 14.674093214798454 6
"2019-04-09T11:21:0... "2019-04-09T11:22:0... UlyssesPi 18.612186615873217 12
"2019-04-09T11:22:0... "2019-04-09T11:23:0... UlyssesPi 12.799415359568199 12
but instead I get the following:
TUMBLINGWINDOWSTARTTIME || TUMBLINGWINDOWENDTIME || DEVICEID || TEMPERATUREAVERAGE || MEASUREMENTSCOUNT
"2019-04-09 11:22:0... "2019-04-09 11:23:0... UlyssesPi 15,4994594331363 30
So how come the results aren't the same? Is it something I did wrong? What can I do?
Thanks for your help.